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  • COVID-19  (378)
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  • 2020-2024  (720)
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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Agricultural production management is facing a new era of intelligence and automation. With developments in sensor technologies, the temporal, spectral, and spatial resolution from ground/air/space platforms have been notably improved. Optical sensors play an essential role in agriculture production management. Specifically, monitoring plant health, growth conditions, and insect infestation has traditionally involved extensive fieldwork. We believe that sensors, artificial intelligence, and machine learning are not simply scientific experiments but opportunities to make our agricultural production management more efficient and cost-effective, further contributing to the healthy development of natural–human systems. This reprint compiles the latest research on optical sensors and machine learning in agricultural monitoring, including related topics: Machine learning approaches for crop health, growth, and yield monitoring; Combined multisource/multi-sensor data to improve the crop parameters mapping; Crop-related growth models, artificial intelligence models, algorithms, and precision management; Farmland environmental monitoring and management; Ground, air, and space platforms application in precision agriculture; Development and application of field robotics; High-throughput field information survey; Phenological monitoring.
    Keywords: soil moisture content ; spectral processing technology ; hyperspectral ; principal component analysis ; feature parameters extraction ; yield estimation ; rice ; unmanned aerial vehicle (UAV) ; tasseled cap transformation ; precision agriculture ; weed identification ; YOLOv4-Tiny ; attention mechanism ; multiscale detection ; angle normalization ; vegetation canopy reflectance ; geostationary satellite ; path length correction ; Minnaert model ; GOCI ; winter wheat ; LSTM ; LAI ; deep learning ; land use ; land cover ; classification ; random forest ; Sentinel data ; SRTM ; feature selection ; accuracy ; validation ; unmanned aerial vehicle ; soybean ; convolutional neural network ; multispectral imagery ; fusarium head blight ; texture indices ; machine learning ; cropland ; multi-seasonal ; fractal feature ; feature extraction ; accuracy evaluation ; black soil ; UAV ; chlorophyll ; fractional vegetation cover ; maturity monitoring ; anomaly detection ; smart agriculture ; detection of apple leaf diseases ; YOLOv5 ; transformer ; CBAM ; crop type classification ; multi-temporal ; remote sensing ; dairy cows ; body condition score ; 3D TOF sensor ; non-contact evaluation ; recognize area of interest ; sugarcane clones ; canopy cover ; light interception ; biomass ; cane yield ; peanut southern blight ; reflection spectrum ; spectral index ; continuous wavelet transform ; VGNet ; corn diseases ; leaf detection ; lightweight ; transfer learning ; agriculture ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The integration of information technologies with industry has marked the beginning of the fourth industrial revolution and promoted the development of industrial engineering. However, the depletion of resources and industrial waste caused by increasing amounts of industrial production pose a huge threat to nature. The application of sustainable supply chains in industrial engineering and management is one of the ways to balance the economy, society and environment. Therefore, it is a key concern for us to explore the construction of sustainable supply chains in industrial engineering and management. Moreover, to understand the impact of low-carbon, sustainable and recycled supply chains on industrial engineering, we need more in-depth investigations.This Special Issue aims to solicit original research and review articles discussing sustainable supply chain decision-making in industrial engineering and management to improve the sustainability of enterprise operations. Moreover, this Special Issue also shows mixed methods (e.g., modeling plus a case study) and rigorous quantitative/qualitative empirical studies of sustainable supply chains.
    Keywords: coordination degree model ; logistics industry ; digital economy ; industrial integration ; regional IEE system ; multimodel decision ; coupling coordination ; decision support methods ; online retailer ; consumer purchase behavior ; return strategy ; return insurance ; supply chain management ; real-time ; home delivery ; business modeling ; e-commerce ; time window ; lightweight ; carbon emissions ; low carbon benefits ; optimization design ; wheel hub ; subsidy policy ; remanufacturing industry ; donation strategy ; prisoner’s dilemma ; water-efficient products ; quality improvement ; DMAIC ; smart water closets ; carbon abatement ; cost sharing ; capital constraint ; environmental externality ; innovative products ; remanufacturing ; differential game ; bass model ; strategic emerging industries ; industrial structure ; employment effect ; artificial intelligence hardware ; data classification ; deep learning ; emission control ; industrial manufacturing ; bilateral matching decision making ; interval-valued hesitant fuzzy information ; bidirectional projection technology ; organizational quality-specific immunity ; automotive supply chain disruption ; supply chain resilience ; disruption risk ; bibliometric analysis ; co-citation analysis ; NGU ; self-attention ; CNN ; silver prediction ; data-driven ; composite systems ; synergy ; sustainability ; blockchain ; collection channel ; recycling strategies ; uncertain demand ; game theory ; federated learning ; intelligent manufacturing ; sustainable energy ; low-carbon strategy ; livestreaming marketing mode ; consumer low-carbon preference ; level of low-carbon promotion effort ; power structures ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Biomedical sensors stand at the forefront of modern medical technologies, serving as indispensable components in diverse instruments and equipment. These sensors unravel the intricacies of biological processes and medical interventions. The recent surge in high-density sensor systems, characterized by arrangements in matrix arrays and other configurations, has ushered in a new era of functional evaluation. This spans electrophysiological activity, the metabolic responses of organs and tissues, and motor control analysis, all enriched with crucial spatial information. Functional mapping, a burgeoning approach in various biomedical techniques such as EEG, EMG, ECG, NIRS, and MEG, is proving to be transformative. Its integration enhances our comprehension of complex biological behaviors, where the precise spatial localization of sensing methodologies becomes paramount. The applications of functional mapping using biomedical sensors extend across multiple fields, including neuroscience, neuromuscular physiology, rehabilitation, and cardiology. Its utility ranges from diagnostic purposes to assessing the effectiveness of therapeutic interventions. The primary objective of this reprint was to collect papers that delineate the forefront of techniques, methods, and applications in the realm of biomedical sensors. Additionally, the focus extends to specific algorithms for data processing, ensuring a robust understanding of functional information intricately associated with spatial localization.
    Keywords: EMG ; EEG ; rehabilitation ; neuromotor ; evaluation ; assessment ; review ; machine learning ; biofeedback ; transfer learning ; random forest classifier ; COVID-19 ; intubation ; tracheoesophageal fistula ; tracheal lesions ; acute respiratory distress syndrome ; modeling ; intensive care unit ; muscle synergies ; whole body FES ; neurological patients ; photodynamic therapy ; fluorescence ; laser ; fluorophores ; enamel ; effective connectivity ; kurtosis ; resting-state connectivity ; stationarity ; sleep monitoring ; pressure bed sensor (PBS) ; unobtrusive measure ; multi-scale analysis ; sleep apnea–hypopnea syndrome (SAHS) ; shift-working ; optically detected magnetic resonance ; quantum magnetometer ; magnetoencephalography ; time domain ; functional near infrared spectroscopy ; diffuse optics ; brain ; hemodynamics ; resting-state brain oscillation ; mental workload ; signal processing ; reliability ; cognitive performance ; Simon task ; emotion detection ; valence ; arousal ; wearable sensors ; regression ; classification ; technology acceptance model ; rehabilitation exoskeletons ; therapists ; neuro-rehabilitation ; multiple linear regression ; Pearson’s correlation ; integrated sensor systems ; hand function ; hand osteoarthritis ; electromyography ; diagnosis ; discriminant analysis ; photoplethysmogram ; microcirculation ; deep learning ; convolutional neural network ; modelling ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 4
    Publication Date: 2024-01-08
    Description: This Special Issue delves into the strides made, challenges encountered, and research imperatives within the realm of Industrie 4.0 from both a scientific and practical standpoint. This publication features the voices of Industrie 4.0 pioneers Henning Kagermann and Wolfgang Wahlster, as well as leaders in research and industrial application of smart manufacturing concepts.
    Keywords: Industrie 4.0 ; intelligent manufacturing ; smart factories ; industrial artificial intelligence ; digital twins ; zero-defect manufacturing ; digital ecosystems ; China Manufacturing 2025 ; Industrial Internet ; Cloud Manufacturing ; digitalization ; small-medium enterprises ; new business models ; data democratization ; fourth industrial revolution ; smart manufacturing ; smart factory ; digital transformation ; industry ; sustainability ; sovereignty ; interoperability ; mass customization ; Industry 4.0 ; skills ; competencies ; bibliometric analysis ; survey ; Hungary ; maturity model ; transformation ; methodology ; Industry 4.0 strategy ; socio-technical system ; business transformation ; industrial implementation ; mergers and acquisitions ; knowledge management ; networking ; process management ; informational change ; scarce data ; machine learning ; information fusion ; development of work ; sociotechnical systems approach ; human-oriented work design ; D-SI ; DCC ; digital signature ; calibration ; servitization ; digital factory transformation ; smart services ; IoT ; AI ; internal services ; remote work ; COVID-19 ; investment ; n/a ; digital twin ; digital manufacturing ; multi-agent systems ; data architecture ; Logistics 4.0 ; digital transformation strategy ; urban planning and city operation ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMV Management of specific areas
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: This reprint entails descriptions of novel issues and challenges for primary mental healthcare regarding both general and vulnerable populations on a global scale. It is intended for health professionals and all who are interested in mental health care at the primary level.
    Keywords: depression ; sense of coherence ; burnout ; COVID-19 ; nurses ; medication adherence ; mental health nurses ; tacit knowledge ; schizophrenia ; sensory processing sensitivity ; environmental sensitivity ; university students ; nursing ; scale ; somatization ; number of diseases ; coping strategies ; sex ; aggression ; alexithymia ; comprehensibility ; quality of life ; family caregivers ; students ; medical ; psychological problem ; undergraduate ; Saudi Arabia ; n/a ; prospect theory ; applied psychology ; health ; decision making ; behavior ; prevention ; multiple sclerosis ; Beck depression inventory ; anxiety ; fatigue ; mediation ; lawyers ; suicidal ideation ; occupational stress ; loneliness ; perceived stress ; mental health ; work overcommitment ; mental health care ; adolescence ; internalizing/externalizing problems ; social skills ; neurodevelopmental disorders ; filmmaking intervention ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBP Health systems & services::MBPK Mental health services
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: The aim of this Special Issue is to specify relevant principles of mathematics and mechanics in order to explore and understand biological problems. We summarize the most important parameters that influence human performance and that are related to the health sciences for all age groups, throughout their lives. We present papers that aim to introduce the latest research in the fields of health, quality-of-life improvement, and sport rehabilitation and that summarize their recommendations for best practice. The aim for this Special Issue is, therefore, to effectively combine and coordinate research and results in order to understand and improve human movement in medicine, sports, and at work.
    Keywords: tendinopathy ; Achilles tendon ; hyaluronic acid ; viscoelastic properties ; isometric contraction ; matrix metalloproteinase 3 ; interleukin-1beta ; fascia ; chronic low back pain ; myofascial release ; quality of life ; older adults ; oldest-old ; measurement invariance ; SHARE European Survey ; therapeutic exercises ; chronic neck pain ; scapular dyskinesia ; DOMS ; vibration ; post-exercise muscle damage ; physical exercise ; recovery ; women’s rugby ; anthropometry ; body composition ; adiposity ; somatotype ; lower-body strength ; accelerometry ; falls ; squat jump ; syndesmosis ; anterior inferior tibiofibular ligament ; high ankle sprain ; rotational instability ; posterior malleolus ; stabilization ; anatomic repair ; syndesmotic screw ; suture-button ; internal bracing ; treatment algorithm ; cardiac rehabilitation ; peripheral artery disease ; COVID-19 ; intermittent claudication ; review ; pressotherapy ; compression ; regeneration ; return-to-play ; rotator cuff repair ; shoulder injuries ; shoulder surgery ; shoulder assessment ; chronic obstructive pulmonary disease ; COPD ; acupuncture ; acupuncture therapy ; acupuncture treatment ; health-related quality of life ; anterior knee laxity ; stiffness ; general joint laxity ; genu recurvatum ; low back pain ; physical activity ; trunk alignment ; rasterstereographic system ; young males ; tissue flossing ; floss band ; vascular occlusion ; muscle strength ; muscle endurance ; warm-up ; TECAR therapy ; high-intensity laser therapy ; manual therapy ; muscle disorders ; hemophilia ; knee ; virtual reality exposure therapy ; joint pain ; physiotherapy ; daily physical function ; middle-aged and older adults ; CHARLS ; aging ; appendicular muscle mass ; inflammaging ; biomarkers ; adiponectin ; sarcopenia ; bic Book Industry Communication::M Medicine
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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: The 3D analysis of human movement aims to objectively and quantitatively assess motor functions and alterations. It is a valuable method for sport scientists, coaches, and clinicians to evaluate sport performance, common movements, and alterations. The feasibility of 3D analysis is increasing because it can be adopted both in a laboratory setting or directly in the field, in static or dynamic conditions, and for physiological or pathological movements. This evaluation technique can be adopted for many people, including children, adolescents, adults, and older people, whether they are sedentary or athletes and whether they are healthy or motor-impaired people.
    Keywords: virtual reality ; augmented reality ; lifelogging ; mirror world ; health ; posture training ; feedback ; COVID-19 ; neck-shoulder-region ; shoulder protraction ; upper crossed syndrome ; posture weakness ; physical inactivity ; sedentary behavior ; soccer ; climbing ; exhaustion ; fatigue ; training ; machine learning ; sports ; gender ; data mining ; artificial intelligence ; posture ; reproducibility ; mobile app ; movement ; kinesiology ; sport performance ; inertial sensor ; inertial sensor device ; inertial measurement unit ; training load ; external load ; physical demand ; handstand ; postural control ; postural balance ; sEMG ; stabilometric assessment ; exercise ; Nordic walking ; walking ; 3D kinematics ; biomechanics ; gait analysis ; kyphosis ; spinal mouse ; photogrammetry ; postural evaluation ; bicycle ; cyclists ; saddle pressure ; perineal pressure ; urogenital system ; injury prevention ; cervical ROM ; elastic taping ; neck pain ; musculoskeletal health ; n/a ; bic Book Industry Communication::M Medicine
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: In the orthopedic surgical field, knee surgeries, including articular cartilage repair procedures, meniscus surgery, ligament reconstruction surgery, osteotomy surgery, and partial/total knee arthroplasty surgery, have made great advances over the last few decades. This Special Issue highlights and focuses on the surgical concepts and techniques, decision-making processes, perioperative management protocols, and clinical outcomes of the recent various advanced knee surgery procedures.
    Keywords: high tibial osteotomy ; TomoFix ; plate position ; anatomical conformity ; dual-energy CT ; Hounsfield unit ; bone mineral density ; volumetric phantomless BMD ; opportunistic CT ; orthopedic surgeon ; planning ; survey ; total knee arthroplasty ; unicompartmental knee arthroplasty ; anterior cruciate ligament ; reconstruction ; bone tunnel widening ; adjustable-loop device ; interference screw ; hamstring tendon ; autograft ; tibial component alignment ; radiographic references ; extramedullary system ; tranexamic acid ; clamping time ; transfusion ; estimated blood loss ; continuous cold flow therapy ; cryotherapy ; pain ; opioids consumption ; patient satisfaction ; bone marrow lesion ; knee ; meniscus ; root tear ; root repair ; femorotibial joint ; chondromalacia ; aging ; body mass index ; magnetic resonance imaging ; automated detection ; detection algorithm ; deep learning ; venous thromboembolism ; medial collateral ligament ; strain ; video extensometer ; medial opening-wedge high tibial osteotomy ; central sensitization ; patient-reported outcomes ; osteotomy site pain ; minimal clinically important difference ; human umbilical cord blood derived mesenchymal stem cells ; cartilage regeneration ; cartilage repair ; osteoarthritis treatment ; stem cell therapy ; Outerbridge ; degeneration ; spacer block ; intramedullary rod ; femorotibial congruence ; unicompartmental arthroplasty ; osteoarthritis ; cartilage ; stem cells ; umbilical cord blood ; femur fracture ; polyethylene insert ; osteoporosis ; multivariate logistic analysis ; atelocollagen ; microfracture ; ACIC ; bone marrow aspirate concentrate ; human umbilical cord blood-derived mesenchymal stem cells ; knee osteoarthritis ; loosening ; arthroplasty ; machine learning ; transfer learning ; review ; prosthesis ; meniscus root ; medial meniscus posterior root ; medial meniscus posterior root tear ; meniscus root repair ; transtibial pull-out repair ; bone tunnel enlargement ; anterior cruciate ligament reconstruction ; landmark ; lateral tibial spine ; anatomy ; bic Book Industry Communication::M Medicine
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  • 9
    Publication Date: 2024-01-08
    Description: This reprint, entitled “Management of Acute and Chronic Complications of Lysosomal Storage Diseases in Children and Adults: Current Practice and Future Opportunities”, covers broad aspects of this group of rare diseases. The first theme includes articles on the management of pain, corneal clouding, gastrointestinal and airway diseases in Mucopolysaccharidoses and Mucolipidoses, and the evaluation of dysphonia in Pompe disease. Additionally, attention deficit and ADHD and the management of atherosclerosis in Fabry disease are considered here. The second theme includes diagnostic conundrums in lysosomal storage diseases, e.g., the prenatal diagnosis of Gaucher disease during pregnancy, the diagnosis of secondary hyperparathyroidism in Mucolipidoses, and the application of the new biomarker “plasma neurofilament light” in Niemann Pick C disease, as well as the correlation of enzyme activity with molecular diagnosis in Pompe disease. The articles in the third theme describe the impact of therapies on clinical outcomes. For example, a systematic review of the impact of enzyme replacement therapy on late-onset Pompe disease and trehalose use on Niemann Pick A and B is included. The remaining articles describe the NHS processes for overcoming challenges resulting from the COVID-19 pandemic and the differences in the transition from paediatric to adult services between different countries.
    Keywords: Mucopolysaccharidosis ; corneal clouding ; penetrating keratoplasty ; deep anterior lamellar keratoplasty ; mucopolysaccharidoses ; airway ; obstruction ; management ; Fabry disease ; attention ; Attention Deficit/Hyperactivity ; cognition ; late-onset Pompe disease ; gastrointestinal ; smooth muscles ; PROMIS–GI symptom scales ; GAAKO mice ; glycogen storage disorder ; translational research ; patient-reported outcomes measures ; mucopolysaccharidosis ; MPS ; disease manifestations ; symptoms ; morbidity ; spine disease ; anaesthesia ; perioperative complications ; surgery ; pompe disease ; speech ; voice ; dysphonia ; acoustic ; auditory-perceptual ; GRBAS ; respiratory ; Pompe disease ; gene panel sequencing ; alpha-glucosidase ; GAA ; dried-blood spots ; fabry disease ; neuropathic pain ; depression ; Fabry ; atherosclerosis ; ischaemia ; perfusion ; angina ; Sanfilippo syndrome ; mortality ; Niemann–Pick C ; neurofilament light ; biomarkers ; neurological disease ; glycogen storage disease type II ; enzyme replacement therapy ; COVID-19 ; inherited metabolic disorders ; rare autoinflammatory diseases ; health care providers ; Gaucher disease ; NIHF ; perinatal-lethal Gaucher disease ; PLGD ; ichthyosis ; GBA gene ; airway management ; radiology ; hyoid bone ; chin ; intubation ; intratracheal ; lysosomal storage disease (LSD) ; Niemann–Pick type A ; Niemann–Pick type B ; acid sphingomyelinase ; sphingolipid deposition ; trehalose ; mucolipidosis type II ; ML II ; I-cell disease ; hyperparathyroidism ; mucolipidosis ; ML ; MLII ; transition service ; adult metabolic medicine ; collaboration ; challenges ; inherited metabolic diseases ; healthcare systems ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MJ Clinical & internal medicine::MJN Neurology & clinical neurophysiology
    Language: English
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Partial differential equations are indispensable for modeling various phenomena and processes, such as those in physics, biology, finance, and engineering. Finding solutions to partial differential equations using qualitative theories or quantitative methods, as well as the application of such investigations to real-world problems, has drawn a large amount of interest from researchers. This reprint encompasses all the articles that were accepted and published in this Special Issue titled "Applications of Partial Differential Equations ". We hope that these accepted and published papers will be impactful and motivate future research on partial differential equations for solving complex problems in various fields, disciplines, and applications.
    Keywords: non-linear optimal control ; stratified fluids ; energy functional ; optimal condition ; state variable ; travelling waves ; Eyring–Powell ; geometric perturbation ; nonlinear reaction–diffusion ; unsteady flow ; C∞-semigroups ; analytic semigroups ; Fourier multipliers ; Λ-ellipticity ; fractional Zakharov system ; stochastic Zakharov system ; Riccati–Bernoulli sub-ODE method ; Jacobi elliptic function method ; generalized fractional derivative ; time-diffusion problem ; generalized linear interpolation ; numerical scheme ; backward nonlocal wave equation ; Pascal bases automatically satisfying specified conditions ; integral boundary condition ; nonlocal boundary shape function ; delay differential equations ; 2D parabolic equations ; fractional step method ; convection diffusion problems ; shallow water flow ; Faedo–Galerkin method ; feedback control ; PDE’s stabilization ; tuberculosis ; COVID-19 ; diffusion ; coinfection ; stability ; singularly perturbed problem ; parabolic differential equation ; convection–diffusion problem ; line discontinuous source term ; streamline–diffusion finite element method ; Shishkin mesh ; uniformly convergent ; diffusion equations ; traveling waves ; phototaxis ; bacterial motion ; biological aggregation ; chemotaxis model ; integral inequality ; global uniform boundedness ; CNL-GZE ; lump-type solitons ; rogue wave ; appropriate transformation technique ; optimal decay ; viscoelastic wave equation ; nonlinear time-varying delay ; nonlinear damping ; acoustic boundary conditions ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
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  • 11
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Oral cancer is a commonly occurring head and neck cancer, with 90% of cases diagnosed as oral squamous cell carcinoma (OSCC). Histologically, OSCC is derived from a multistep mechanism known as oral carcinogenesis, which progresses from normal epithelium to hyperplasia, followed by dysplasia and carcinoma in situ, and precedes the development of invasive squamous cell carcinoma. This multistep mechanism is characterized by mutations related to copy number alteration and epigenetic modifications. Precision medicine based on genomic profiling is also becoming more prevalent. It relies on the genetic information of individual patients or specific cancer cells and how their genes interact with each other and the environment. This method can potentially provide more effective treatment strategies as approaches can be customized for the specific genetic profiles of patients. Completing the TCGA HNSCC database has led to the development of new therapeutic approaches and targeted therapies. Lately, immune checkpoint inhibitors have been recognized as one of the standards of care in HNSCC. However, although treating invasive SCC is crucial, implementing prevention strategies to preclude malignant transformation has been useful in clinical management. Topics of interest for this Special Issue include, but are not limited to: Precision medicine, i.e., targeted therapies that inhibit oral carcinogenesis and tumorigenesis mechanisms; Combination of novel therapeutic approaches with standard-of-care regimens in OSCC; Biomarkers, i.e., predictive and prognostic markers for therapeutic approaches.
    Keywords: oral carcinogenesis ; oral tumorigenesis ; oral squamous cell carcinoma ; immune checkpoint inhibitor ; mutation ; biomarkers ; chemoradiation ; targeted therapies ; cisplatin ; preclinical models ; deep learning ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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  • 12
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: The research field of data analysis and mining has attracted the interest of both academia and industry in recent years. This reprint contains 17 papers, which cover different topics of the broad research field of data analysis and mining. Each paper presents new data mining algorithms and techniques, as well as applications of data analysis and mining in real-world domains.
    Keywords: chi-square test ; constrained likelihood ratio test ; Fisher test ; gamma distribution ; uniformly most powerful test ; key interested frame ; commodity video ; clustering ; deep neural network ; frequent subtree ; parallel algorithms ; data partitioning ; load balancing ; trust inference ; trust propagation ; online social network ; social network analysis ; probabilistic graphical model ; message passing ; belief propagation ; model interpretability ; sequential rule mining ; non redundant sequential rules ; TRuleGrowth ; top-k non redundant rules ; closed sequential patterns ; multivariate time series ; deep spatiotemporal information ; down-sampling convolution ; attention ; graph neural network ; mobility patterns ; social media data ; artificial intelligence ; tourist clusters ; tourist flows ; forecasting ; univariate ; time series ; Python ; PSF ; spam detection ; deep learning ; semantic similarity ; social network security ; web analytics ; web log mining ; clickstream analysis ; sequence mining ; sequitur ; graph techniques ; feature subset selection ; data mining ; educational data mining ; machine learning ; metaheuristics ; artificial neural networks ; random decision forests ; posttraumatic stress disorder ; DSM-V ; emergency cesarean section ; elective cesarean section ; postpartum period ; text similarity calculation ; passage-level event connection graph ; vector tuning ; graph embedding ; meteorological data mining and machine learning ; class imbalance ; classification ; randomized undersampling ; SMOTE oversampling ; undersampling using temporal distances ; recommender systems ; session-based recommendations ; e-commerce ; data and web mining ; item co-occurrence ; graph data model ; next-item and next-basket recommendations ; graph-based recommendations ; purchase intent ; LSTM-RNN ; signal processing ; smart device ; electromagnetic field ; non-ionizing radiation protection ; SAR ; ANOVA ; data science ; selection ; constraint satisfaction ; preprocessing ; mobile technology ; statistics ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
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  • 13
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Various classes of natural and synthetic molecules that can be classified as biomaterials find application in all fields of dentistry. Biomaterials should be biocompatible to minimise toxicity and bioactivity to ensure or simulate biological effects. They are used, for instance, to enhance antibacterial activity and improve the healing process. Calcium silicates, for illustration, are biomaterials used in endodontics that have proven their excellent biological, physico-chemical, and mechanical properties. However, some of these are considered too soluble, and this is almost completely due to their hardness when used as endodontic sealers, making endodontic retreatment very difficult. Despite manufacturers' best efforts, it is sometimes difficult to marry bioactivity, biocompatibility, and clinical benefits in a biomaterial; therefore, in this content, the work of researchers is invaluable.
    Keywords: calcium silicate cement ; retrograde materials ; premixed cement ; powder–liquid cement ; chemical composition ; EDX ; caries prevention ; anterior restorations ; ceramic ; dental veneers ; follow-up ; non-vital teeth ; porcelain laminate veneers ; vital teeth ; antimicrobial ; osseointegration ; surface modification ; tissue engineering ; root canal retreatment ; calcium silicate-based cement ; ProTaper Universal Retreatment ; D-Race ; dentin hypersensitivity ; desensitizing agents ; calcium phosphate ; hydroxyapatite ; nano-hydroxyapatite ; peri-implantitis ; periodontitis ; periapical radiograph ; deep learning ; neural networks ; image enhancement ; carious lesion activity ; irreversible pulpitis ; partial pulpotomy ; vital pulp therapy ; mineral trioxide aggregate ; furcation involvement ; image segmentation ; Gaussian high-pass filtering ; image preprocessing ; CNN ; calcium silicate material ; confocal laser scanning microscope ; deciduous tooth ; digital microscopy ; flowability ; micro-CT ; pulpectomy primary teeth ; root canal filling ; SEM ; zinc oxide eugenol ; bic Book Industry Communication::M Medicine
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  • 14
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: The purpose of this Special Issue was to collect and present research results and experiences on energy supply in the Visegrad Group countries. This research considers both macroeconomic and microeconomic aspects. It was important to determine how the V4 countries deal with energy management, how they have undergone or are undergoing energy transformation and in what direction they are heading. The articles concerned aspects of the energy balance in the V4 countries compared to the EU, including the production of renewable energy, as well as changes in its individual sectors (transport and food production). The energy efficiency of low-emission vehicles in public transport and goods deliveries are also discussed, as well as the energy efficiency of farms and energy storage facilities and the impact of the energy sector on the quality of the environment.
    Keywords: energy supplies ; energy security ; energy market ; EU countries ; Hellwig’s method ; sustainability strategies ; sustainable development ; Visegrád Group ; sustainable strategic management ; the renewable energy sector ; energy use ; structures ; food production systems ; Visegrad Group ; energy mix ; renewables ; energy in transport ; energetic efficiency ; energy sources ; economic growth ; developing and developed countries ; energy sector ; environmental quality ; renewable energy sources (RES) ; nuclear energy ; southeastern Poland ; sustainability ; renewable energy sources ; European Union ; cluster analysis ; Visegrad Group countries ; fuels ; cointegration ; Granger causality ; electricity prices ; households ; directions of price changes ; biogas energy ; solar energy ; hybrid biogas plant ; renewable energy ; circular economy ; off-grid systems ; energy efficiency ; social and economic aspects of energy ; economic efficiency ; low emissions ; zero emissions ; e-commerce ; last mile ; parcel lockers ; efficiency of logistics processes ; economies of scale ; simulation of logistics processes ; COVID-19 ; BESS management ; price arbitration ; shift load ; microgrid ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
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  • 15
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: On 11 March 2020, the World Health Organization declared COVID-19 a global pandemic, and the disease now affects nearly every country and region. Nearly 18 months later, COVID-19, caused by SARS-CoV-2, continues to present significant challenges to health systems, public health, and the economy of countries across both hemispheres. The morbidity and mortality of the infection caused by SARS-CoV-2 has been significant, and various waves of disease outbreaks initially overwhelmed hospitals and clinics in many countries and continue to do so. This influences everyone, and public health countermeasures have been dramatic in terms of their impact on employment, social systems, and mental health. This Special Issue collection follows on from the Special Issue “COVID-19: Current Challenges and Future Perspectives” and provides an avenue for authors from various disciplines to provide feedback on the response to and our future global preparedness for COVID-19, as well as to disseminate critical information about SARS-CoV-2 and the associated COVID-19 pandemic.
    Keywords: COVID-19 ; new-onset DM ; severe infection ; mortality ; outbreak ; P.1 variant ; Gamma variant ; SARS-CoV-2 infection ; whole-genome sequencing ; pandemic ; overweight ; obesity ; Peru ; psychological impacts ; public health ; preparedness ; mRNA-1273 ; BNT162b2 ; TAK-919 ; SARS-CoV-2 ; post-vaccination ; healthcare personnel ; vaccination ; asymptomatic infection ; HIV ; infectious disease ; excess mortality ; regdanvimab ; remdesivir ; severe ; community transmission ; population density gradient ; Dhaka ; Bangladesh ; dengue ; undifferentiated febrile illness ; antigen testing ; variants ; reinfections ; breakthrough infections ; vaccine hesitancy ; sub-Saharan Africa ; pulmonary fibrosis ; postacute COVID-19 syndrome ; tuberculosis ; helminth coinfection ; coronavirus ; coordination ; health operations and technical expertise ; AFRO ; diarrhea ; liver ; pancreas ; inflammatory bowel diseases ; liver transplantation ; reproduction rate ; phylogenetic analysis ; clade GK ; D614G ; P681R ; cross-reactivity ; haemorrhage ; thrombocytopenia ; thrombosis ; severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) ; molecular diagnostics ; real-time polymerase chain reaction (RT-qPCR) ; economy ; income levels ; waves ; policy ; turning points ; occupational exposure ; risk factors ; personal protective equipment ; SIR model ; socio-behavioral aspects ; interaction distance ; school reopening strategy ; self-medication ; over-the-counter ; medicine use ; Pakistan ; clinical features ; Luanda ; Angola ; socioeconomic status ; risk perception ; risk prevention practices ; qualitative ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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  • 16
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-06-23
    Description: The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices. The thirteen research papers published in this Special Issue make significant contributions to long- and short-term hydrological modeling and water resources management under changing environments using AI techniques coupled with various analytics tools. These contributions, which cover hydrological forecasting, microclimate control, and climate adaptation, can promote hydrology research and direct policy making toward sustainable and integrated water resources management.
    Keywords: ANN ; roadside IoT sensors ; simulations of the gridded rainstorms ; 2D inundation simulation and real-time error correction ; weather types and features ; meteorological feature extraction ; artificial neural network ; self-organizing map (SOM) ; urban agriculture ; resource utilization efficiency ; urban northern Taiwan ; machine learning ; random forest ; regression analysis ; support vector machine ; threshold rainfall ; threshold runoff ; XGBoost ; stochastic rainfall generator ; Huff rainfall curve ; copula ; GeoAI ; artificial intelligence ; hydrological ; hydraulic ; fluvial ; water quality ; geomorphic ; modeling ; anomaly detection ; deep reinforcement learning ; telemetry water level ; time series ; ensemble ; multi-model ensemble ; precipitation ; forecasting ; persian gulf ; deep learning ; dam inflow ; RNN ; LSTM ; GRU ; hyperparameter ; rainfall time series ; artificial neural networks ; Multiple Linear Regression ; Chania ; CNN ; ELM ; temporary rivers ; hydrological extremes ; multivariate stochastic model ; autoregressive model ; Markov model ; daily temperature ; temperature generator ; Bayesian neural network ; forecasting uncertainty ; multi-step ahead forecasting ; probabilistic streamflow forecasting ; variational inference ; smart microclimate-control system (SMCS) ; system dynamics ; water–energy–food nexus ; agricultural resilience ; hydroinformatics ; hydrological modeling ; early warning ; uncertainty ; sustainability
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  • 17
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Introducing “A Feasible Approach for Natural Products to Treatment of Diseases”–an exploration of the therapeutic potential locked within nature’s abundant offerings. This comprehensive reprint delves into the fascinating realm of natural products, uncovering their inherent properties, mechanisms of action, and potential roles in effective disease management. Through extensive scientific research and reviews, the authors shed light on the immense potential of natural products as a viable approach to enhancing health and combating diseases. This reprint presents a diverse and multidimensional exploration, bridging the gap between traditional wisdom and contemporary scientific understanding and offering new avenues for healthcare professionals, researchers, and enthusiasts to harness the power of nature’s remarkable resources. As a catalyst for unlocking the healing potential of natural products, this reprint inspires further investigation and innovation, and drives us towards a future where their integration into mainstream healthcare becomes indispensable. Discover the possibilities and embark on a health and well-being journey with “A Feasible Approach for Natural Products to Treatment of Diseases”.
    Keywords: cancer immunotherapy ; fructan ; FT-IR ; mass spectrometry ; young green barley ; COVID-19 ; β-glucans ; immunomodulation ; anti-inflammation ; anti-oxidant ; ACE2 regulation ; impedance ; ECIS ; antitumor activity ; anticancer properties ; betulin ; betulinic acid ; Amadori rearrangement compounds ; barley ; anti-obesity ; arginyl-fructose ; adipogenic ; ergosta-5,7,22,24(28)-tetraenol (ERGT) ; cholesta-5,7,22,24-tetraenol (CHT) ; ergosterol biosynthesis ; antimetabolite ; suicide substrate ; Trypanosoma brucei ; coronavirus SARS-CoV-2 ; main protease ; Saussurea costus ; molecular docking ; GC-MS profiling ; Molineria recurvata ; diabetic nephropathy ; urinary biomarkers ; inflammation ; oxidative stress ; walnut ; Juglans regia ; high-fat diet ; insulin resistance ; cognitive function ; JNK/NFκB pathway ; Citri Reticulatae Pericarpium ; flavonoids ; anticancer ; mechanism ; phenotype ; Angelica sinensis polysaccharide ; Astragalus membranaceus polysaccharide ; hexokinase 2 ; glycolysis ; JAK2/STAT3 pathway ; liver regeneration ; Holoptelea integrifolia ; MMP-9 ; wound healing ; friedelin ; oxalactam A ; macrolactam ; anti-Rhizoctonia solani ; Penicillium oxalicum ; molecular dynamics ; non-alcoholic fatty liver disease (NAFLD) ; natural products ; terpenoids ; mechanisms ; treatment ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: In 2020-2022, much of the world was at risk for catching COVID-19. This reprint, “Crimmigration in the Age of COVID-19,” contributes to understanding immigration during the pandemic. It engages a cross-national and interdisciplinary case-study approach to show how countries carved out exceptions to public health protocols for migrants. In the immigration context a variety of governments weaponized public health protocols to criminalize and exclude migrants. The Trump Administration sadistically misplayed the pandemic at almost every turn. Trump came to power on the backs of migrants, referring to them as murderers and rapists. The intersection of Trump’s COVID-19 and migration policies carved out space for the exceptional dehumanization of migrants in 2020-21. This reprint documents the weaponization of public through crimmigration. Crimmigration is the criminalization of migration and migrants via state-of-the-art surveillance and militarized technologies. During the worst of COVID-19, crimmigration strategies--mandatory detention and harsh exclusions— exacerbated the risk of transmission among migrants. Policies not migrants were to blame here. The ostensibly public health related Title42 actually pushed migrants, already at great risk, into unregulated shantytowns controlled by Mexican drug cartels. Additionally, migrants contended with detention facilities, medium security prisons, that functioned as Petrie dishes for the disease. We hope this reprint contributes to understanding the intersection of public health and crimmigration, and border penologies during these exceptional times.
    Keywords: coronavirus ; immigration detention ; migration enforcement ; detention abolition ; detention ; immigration ; human rights ; healthcare ; access to justice ; crimmigration ; deportation ; return ; COVID-19 ; pandemic ; securitisation ; threat prioritisation ; Australia ; New Zealand ; welfare ; exclusion ; surveillance ; attrition ; incarcergration ; decriminalization ; detention standards ; alternatives to detention ; conditions of detention ; COVID ; racial apathy ; white ignorance ; institutional legitimacy ; governing through migration ; The Netherlands ; discourse ; border practices ; asylum seekers ; economic migrants ; Poland ; pushbacks at the border ; COVID-19 pandemic ; governmental xenophobia ; migrants/refugees ; vaccination ; Greece ; n/a ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy
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  • 19
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The purpose of this Special Issue on inclusive research is to capture internationally, “How far have we come?” and “Where do we need to go?” Such questions are relevant now that it has been close to two decades since Walmsley and Johnson (2003) first introduced the inclusive research paradigm in their text, Inclusive research with people with learning disabilities: past, present, and futures. Within this Special Issue we have reprinted 18 articles that promote inclusive research as a paradigm that has succeeded in transferring power to people with intellectual disabilities who were once the "researched" to now being and becoming the "researchers". The articles draw upon the work of co-researchers both with and without the lived experience of disability who have adopted inclusive research as a paradigm to redress the exclusion of people with intellectual disabilities as researchers. All the 18 articles have an eye on the future and are sequenced across the following themes: the individual impact of being and becoming an inclusive researcher; building inclusive research relationships as a duo; being part of an inclusive research network; and using inclusive research to push boundaries and facilitate issues of importance identified by people with disabilities. The reprint concludes with two articles where inclusive researchers of long standing reflect on how to continue to walk forward on the road that aided by this reprint will become more well-travelled?
    Keywords: university ; higher education ; intellectual disability ; inclusive education ; autoethnography ; Down Syndrome ; action research ; design research ; inclusion ; social workers ; intellectual disabilities ; inclusive research ; participatory research ; developmental disability ; mental health ; collaborative groups ; qualitative research ; creative methodologies ; people with intellectual disabilities ; profound intellectual and multiple disabilities ; belonging ; intersubjectivity ; disability studies ; COVID-19 ; lived experience ; disability ; community researchers ; prisoners ; former prisoners ; criminal justice system ; inclusive employment ; collaborative autoethnography ; ethnography ; collaboration ; pandemic ; relationships ; research methods ; health ; rehabilitation ; assistive technology ; consumer-led ; employment ; students with intellectual disability ; sex education ; sexuality and gender identity ; sexual abuse ; inclusive ; research ; learning/intellectual disability ; impact ; life history ; rights ; community ; capacity building ; policy ; and practice ; funding ; co-design ; co-researching ; research with people with intellectual disability ; research with people with learning disability ; advocacy ; self-advocacy ; manifesto for inclusive research ; accessible academic literature ; space and non-accessible space ; down syndrome ; quality of life ; happiness ; n/a ; bic Book Industry Communication::J Society & social sciences::JM Psychology
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  • 20
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Herein we describe some molecular aspects of the recent anti-COVID-19 research, including some approaches making use of natural remedies, especially from medicinal plants, in silico methods, and different experimental procedures that led to the discovery of novel targets of SARS-CoV-2 and consequently novel potential COVID-19 therapeutics. COVID-19 vaccines also find mention in this book with also a description of some adverse effects reported in some cases. Considering that the different beta coronaviruses present certain conserved biomolecular mechanisms and, thus, some common therapeutic targets, finding effective therapies for a specific member of their family (such as SARS-CoV, SARS-CoV-2, and MERS-CoV) even in a scenario of a reduced impact at the time of the related disease on humankind is still relevant as it could offer or inspire efficacious therapeutic strategies not only in the context of novel pathogenic mutations of the already known beta coronaviruses, but also when future zoonoses caused by other beta coronaviruses will emergence, which is not unlikely to occur in the current world where the interactions between humans and wildlife are made more and more frequent due to the growing loss of intact ecosystems worldwide.
    Keywords: coronavirus infections ; pandemics ; natural compounds ; clove ; Syzygium aromaticum ; eugenol ; eugeniin ; SARS-CoV-2 ; COVID-19 ; phytochemicals ; herbal medicine ; catechin ; polyphenol ; tea leaf extract ; theaflavin ; virucidal activity ; MERS-CoV ; S1-NTD ; pharmacophore modeling ; ADME ; quantum mechanical calculation ; DFT ; FMO ; MM/GBSA ; molecular docking ; Molecular Dynamics Simulation ; HOMO ; LUMO ; COVID-19 vaccine ; disseminated intravascular coagulation ; heparin induced thrombocytopenia ; platelet factor 4 ; thrombosis ; thrombotic thrombo-cytopenic purpura ; vaccine induced thrombocytopenia and thrombosis ; disinfectants ; ethanol ; hand hygiene ; ozonated water ; slightly acidic electrolyzed water ; virucidal mechanism ; coronavirus ; renal disease ; nephrotoxicity ; reno-protective effect ; green tea ; epigallocatechin-3-gallate (EGCG) ; flavonoids ; natural products ; medicinal plant ; SARS-Cov-2 nsp10 ; structural similarity ; fingerprint ; ADMET ; toxicity ; main protease ; triazole ; docking ; MD simulation ; drug ; proteomic ; vaccine ; immunology ; biomarker ; cheminformatics ; phytocompounds ; systems pharmacology ; anti-COVID-19 ; drug repositioning ; molecular dynamic simulations ; binding free energy ; signal peptide ; RBD protein ; secretion ; mutant ; nucleocapsid or nucleoprotein ; structure-based drug discovery ; alphafold model and molecular dynamics ; neuroinflammation ; brain fog ; neuropeptides ; neurotransmission ; metabolism ; NSAIDs ; inflammation ; ketoprofen ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The reprint focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security. The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, network traffic, streaming media, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data. The papers included in this reprint discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation, as well as artificial intelligence, machine learning, and deep learning. Given this diversity of topics the book represents a valuable reference for researchers in cybersecurity security and data science.
    Keywords: steganography ; network security ; steganography detection ; steganalysis ; machine learning ; big data ; IoT ; pattern mining ; wireless communications ; covert channel ; dirty constellation ; wireless postmodulation steganography ; phase drift ; drift correction modulation ; undetectability ; security ; quadrature amplitude modulation ; spam ; phishing ; classification ; augmented dataset ; multi-language emails ; cybersecurity ; data protection ; SoC ; threat agents ; motivation ; opportunity ; capability ; user profiling ; implicit ; modeling ; real-time user monitoring ; complexity threat agent ; threat assessment ; network traffic analysis ; convolutional neural networks ; network traffic images ; visualization of traffic ; classifiers ; e-mail ; ham ; data science ; datasets ; cyber threats modeling ; multi-agent systems ; cyber deception ; pseudorandom sequences generators ; prime numbers ; additive Fibonacci generator ; statistical characteristics ; android device ; BrainShield ; hybrid model ; malware detection ; Omnidroid ; image processing ; BOSS database ; ensemble classifier ; deep learning ; stegomalware ; traffic analysis ; network probe ; hash function ; SHA-3 ; FPGA ; cognitive security ; cyberattacks ; game software ; threat matrix computing ; evaluation function ; data modeling ; authentication ; bit template ; information-processing electronic device ; Poisson pulse sequences generators ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Modern materials and structures are significantly different from conventional ones. Their sizes can be orders of magnitude smaller, and their compositions are so sophisticated that traditional characteristic methods are inapplicable. Non-conventional methods are essential to tackle these issues, which must often be approached in an interdisciplinary fashion. This Special Issue is a collection of articles that shed light on these problems.
    Keywords: analytical solution ; Fourier cosine series ; vibrations ; FGM rectangular plates ; Mindlin plate theory ; phased array transducer ; transducer optimization ; beam focusing ; pulse–echo mode ; harmonic generation ; stress-free boundary ; total correction ; acoustic emission ; electrical resistance ; damage monitoring ; criticality ; natural time analysis ; nonlinear parameter ; noncontact reception ; air-coupled receiver ; aluminum samples ; corrections ; field theory ; deformation and fracture ; 7075 aluminum alloy ; electronic speckle pattern interferometry ; concrete beam ; bending ; cementitious matrix ; FRCM ; analytical model ; numerical model ; linear low-density polyethylene ; digital image correlation ; optical non-destructive testing ; speckle ; fourier scaling theorem ; gaussian filtering ; optical methods ; AlSi10Mg ; SLM ; NDE ; deep learning ; CNN ; k-fold cross validation ; non-destructive testing ; optical interferometry ; residual stress ; thermal expansion ; elasticity ; high entropy alloys ; complex concentrated alloys ; refractory metal intermetallic composites ; high entropy phases ; complex concentrated phases ; Nb silicide-based alloys ; alloy design ; biomechanics ; Achilles tendon ; beam-to-beam contact ; arbitrary cross-section ; ANCF ; lithium-ion batteries ; redox-active organic anode ; organic anode materials ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
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  • 23
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Complex systems have long been an integral part of modern life and can be encountered everywhere. Undertaking a comprehensive study of such systems is a challenging problem, one which is impossible to solve without the use of contemporary mathematical modeling techniques. Mathematical models form the basis for the optimal design and control of complex systems. The present reprint contains all the articles accepted and published in the Special Issue of Mathematics entitled "Control, Optimization, and Mathematical Modeling of Complex Systems". This Special Issue is focused on recent theoretical and computational studies of complex systems modeling, control, and optimization. The topics addressed in this Special Issue cover a wide range of areas, including numerical simulation in physical, social, and life sciences; the modeling and analysis of complex systems based on mathematical methods and AI/ML approaches; control problems in robotics; design optimization of complex systems, modeling in economics and social sciences; stochastic models in physics and engineering; mathematical models in material science; and high-performance computing for mathematical modeling. It is our hope that the scientific results presented in this reprint will serve as valuable sources of documentation and inspiration to those seeking to delve into complex systems modeling, control, and optimization and examine their wide-ranging applications.
    Keywords: optimal control problem ; evolutionary computation ; robotics applications ; optimal control ; Lyapunov stability ; equilibrium point ; symbolic regression ; Pontryagin’s maximum principle ; continuous-time Markov chains ; ergodicity bounds ; discrete state space ; rate of convergence ; logarithmic norm ; interval analysis ; function approximation ; global optimization ; convexity evaluation ; overestimators ; underestimators ; machine learning control ; general synthesis problem ; evolutionary algorithm ; adaptive interpolation algorithm ; interval ordinary differential equations (ODEs) ; sparse grids ; hierarchical basis ; multidimensional interpolation ; high dimensions ; molecular dynamics modeling ; randomized maximum entropy estimation ; probability density functions ; Lagrange multipliers ; Lyapunov-type problems ; implicit function ; rotation of vector field ; asymptotic efficiency ; thermokarst lakes ; forecasting ; dynamical tracking target ; ship towing system ; relative curvature ; adaptive control ; discrete velocity method ; lattice Boltzmann method ; computational fluid dynamics ; mathematical modeling ; estimation ; minimax techniques ; pareto optimization ; regression analysis ; statistical uncertainty ; proton exchange membrane ; proton electrolyte membrane ; PEM ; fuel cell ; PEMFC ; power electronic converter ; DC–DC boost converter ; model predictive control ; MPC ; self-scalable robots ; modular robots ; origami structures ; complex system ; synergistic effect ; performance indicator ; structure change ; soft robotics ; continuum mechanisms ; modeling of complex systems ; kinematic model of soft robots ; mathematical modeling of complex systems ; non-linear models ; soft robotic neck ; tendon-driven actuators ; mathematical modelling ; modelling in economics ; impact of the COVID-19 ; logistics businesses ; fractional-order virus models ; stuxnet virus ; numerical computing ; supervisory control and data acquisition systems ; computer networks ; lyapunov analysis ; image segmentation ; remote sensing ; terrain identification ; data synthesis ; transfer learning ; controllability ; observability ; stochastic linear systems in finite and infinite dimensional spaces ; stochastic singular linear systems in finite and infinite dimensional spaces ; semigroup ; evolution operator ; GE-semigroup ; GE-evolution operator ; stochastic GE-evolution operator ; feature selection ; finite normal mixtures ; moving separation of mixtures ; deep LSTM ; neural network architectures ; deep learning ; turbulent plasma ; air–sea fluxes ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 24
    Publication Date: 2023-04-05
    Description: This reprint includes papers from different research fields, reflecting the sectional talks presented at the 9th edition of the Scientific Conference of the Doctoral Schools from the “Dunărea de Jos” University of Galaţi, which took place in June 2021. The objective of the 2021 Conference was to bring together perspectives and challenges in doctoral research in a common forum and to provide a platform enabling doctoral researchers to meet and share state-of-the-art developments in their fields. It consists of 16 papers presented at the 9th edition of the Scientific Conference of the Doctoral Schools from the “Dunărea de Jos” University of Galaţi, in several fields such as: mechanical and industrial engineering, food science and biotechnology, electrical/electronic engineering, systems engineering and information technologies, chemistry, electrochemistry, and economic models and strategies.
    Keywords: incremental pumps ; profiling of generating tools ; helical surfaces ; Romania ; coastal area ; wind energy ; measurements ; IEC classes ; wind turbines ; mass tourism ; management model ; Constanta ; PESTEL ; Black Sea ; sustainability ; eggplant peels ; bioactive compounds ; hydrogels ; anthocyanins ; beetroot peel ; betalains ; polyphenols ; CCD-RSM ; optimal control ; metaheuristic algorithms ; evolutionary algorithms ; simulation ; ventilation on ships ; HVAC requirements ; COVID-19 ; spread the disease ; airborne transmission ; HEPA filtration ; UV disinfection ; heat recovery ; L-tryptophan ; polypyrrole ; sensor ; amino acid ; cyclic voltammetry ; chronoamperometry ; atorvastatin ; carbon nanotubes ; gold nanoparticles ; Hippophae rhamnoides L. ; carotenoids ; flavonoids ; antioxidant activity ; microencapsulation ; modulation ; electromagnetic disturbances ; electromagnetic compatibility ; military ship ; communication systems ; navigation conditions ; Danube River ; management tool ; quality function deployment ; house of quality ; enwrapping surfaces ; profiling ; geometrical methods ; tower ; wind turbine ; load ; offshore wind ; marine renewable energy ; living labs ; design thinking ; coastal zone ; integrated coastal zone management (ICZM) ; Romanian coastal zone ; Black Sea basin ; wind parameters ; historical data ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economies
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-05-11
    Description: This reprint emphasizes the perspectives and challenges surrounding COVID-19 and obesity-related cancers, including but not limited to the risk factors of severe COVID-19 in cancer patients; the complications of COVID-19 in cancer patients; the challenges in cancer treatment and surgery; guidelines for cancer care during COVID-19; delayed diagnosis and suboptimal cancer management; the impact of COVID-19 on cancer screening, early diagnosis and cancer presentation; immune response after SARS-CoV-2 infection and vaccination in cancer patients; psychological distress among cancer survivors; telehealth in cancer care; the role of diet and nutraceuticals in the prevention of severe COVID-19 and cancer; and the effects of COVID-19 pandemic on cancer research.
    Keywords: COVID-19 ; neutropenia ; G-CSF treatment ; respiratory failure ; colorectal neoplasms ; gastrointestinal neoplasms ; immune checkpoint inhibitors ; neoplasms ; oncogenic viruses ; oncolytic virotherapy ; post-acute COVID-19 syndrome ; reactive oxygen species ; tumor escape ; SARS-CoV-2 ; thyroid cancer ; differentiated thyroid cancer ; COVID-19 severity ; inflammation ; immunity ; oxidative stress ; obesity ; SARS-Cov-2 ; oncology ; cancer screening ; clinical trials ; melanoma ; management ; pandemic ; teledermatology ; diagnostic delay ; immunotherapy ; vaccination ; lymph adenopathy ; cancer ; nutraceuticals ; supplements ; colorectal ; meta-analysis ; gynecologic oncology ; malignancy ; blood cancer ; hematologic malignancy ; leukemia ; lymphoma ; multiple myeloma ; myelodysplasia ; breast cancer ; cancer care ; screening ; surgery ; psychological distress ; cancer therapies ; immunogenicity ; safety ; vaccine hesitancy ; tumor subtype ; mortality ; intensive care unit ; medico-administrative data ; France ; n/a ; bic Book Industry Communication::M Medicine
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  • 26
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-02
    Description: Ageing is a diverse and multifaceted experience that is unique to each person. The process of ageing is lived differently according to each individual’s socio-cultural, historical, religious, and political context, among other factors. However, the stereotype of homogeneity is still one of the strongest aspects related to later life. This Special Issue covers manuscripts of original research that critically explore the experience of old age and the process of growing older from the social sciences and humanities perspectives. It also explores the topics pertaining to social gerontology, cultural and literary gerontology, environmental gerontology, gerotechnological studies, social anthropology, gender studies, body politics, sexuality, active and healthy ageing, space and place, age-friendly politics and other themes. The published articles collect arguments that show the variables and uniqueness of later life, and expand on the current theoretical frameworks in the field of age studies and beyond. The overall aim of this Special Issue was to broaden the gerontological scholarship and develop critical thought of old age and the life course beyond the merely biological processes of growing older and their sociocultural constructs. This Special Issue can be of interest to scholars, practitioners, stakeholders, care workers and individuals who are concerned with the dynamics of ageing as well as current and future dialogues on the unique experiences of ageing.
    Keywords: ageing ; older adults ; intimacy ; creativity ; strict morality ; sexuality ; theories of retirement ; rhythmanalysis ; management of time ; interdisciplinary gerontology ; busy ethic ; societal rhythms ; home ; identity ; Ireland ; place attachment ; rural ; Sweden ; women ; inclusivity ; Zimbabwe ; urban environments ; discourse analysis ; urban policy ; Africa ; ageism ; COVID-19 ; fourth age ; nursing homes ; third age ; cultural and literary gerontology ; aging and society ; agism ; popular culture and comics ; DC superheroes ; aging in place ; dementia ; cognitive changes ; design practice ; user involvement ; participatory design ; socio-gerontechnology ; active ageing ; age-friendly ; age panic ; metaphor ; neoliberal imagination ; older adults’ media practices ; older adults’ media biographies ; long-term care ; social isolation in later life ; social agency ; person-centered care ; information and communication technology (ICT) ; life course perspective ; communicative ecology mapping ; focused ethnography ; activism ; Iaioflautas ; intergenerational solidarity ; politicization ; social movements ; culture ; interdependence ; older immigrants ; religious minority ; social relationships ; older people ; public participation ; European welfare states ; gerontological responses ; pandemic management ; materiality ; corporeality ; humanoid robot Pepper ; human–robot interactions ; gender ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHM Anthropology::JHMC Social and cultural anthropology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Rapid developments have taken place over the recent years in the interventional cardiac electrophysiology. New methods and tools in the diagnosis and treatment of cardiac arrhythmia have emerged. There are many questions which still present a challenge, such as the ablation of refractory ventricular tachycardia, how to improve the long-term success rate of persistent atrial fibrillation, the long-term effectiveness and safety of His–Purkinje conduction system pacing. Accordingly, we dedicate this Special Issue Current Updates on Interventional Cardiac Electrophysiology to gathering the most recent progress in this field. Its aim is to present an overview of the current knowledge, latest evidence, and unresolved issues in this field. More specifically, the topics of interest include but are not limited to: atrial fibrillation; cryoablation; radiofrequency ablation; cardiac resynchronization therapy; His–Purkinje conduction system pacing; stereotactic radiotherapy for refractory ventricular tachycardia; pulsed electric field ablation; leadless pacemakers; and implantable cardioverter-defibrillators.
    Keywords: atrial fibrillation ; catheter ablation ; left atrial appendage occlusion ; stereotactic body radiotherapy ; refractory ventricular tachycardia ; treatment ; ablation ; elderly patients ; younger patients ; outcomes ; deep learning ; convolution neural network ; paroxysmal supraventricular tachycardia ; electrocardiography ; detection ; syncope ; vasovagal syncope ; ganglionated plexus ; high-frequency stimulation ; atrial fibrillation (AF) ; vein of Marshall (VOM) ; ethanol infusion ; coronary sinus (CS) ; coronary sinus ostium (CSo) ; cardiac implantable electronic device infection ; pocket infection ; antimicrobial therapy ; risk factors ; preventive strategies ; ventricular arrhythmias ; electrocardiogram ; algorithm ; left ventricular outflow tract ; COVID-19 pandemic ; interventional therapy ; percutaneous left atrial appendage occlusion ; pharmacotherapy ; amiodarone ; arrhythmogenic right ventricular cardiomyopathy ; abnormal electrograms ; ventricular tachycardia ; iatrogenic atrial septal defect ; intracardiac echocardiography ; left atrial appendage closure ; right-to-left shunt ; vein of Marshall ; collateral circulation ; slow injection ; paroxysmal atrial fibrillation ; high-power ; short-duration ; radiofrequency ablation ; ablation index ; pulmonary vein reconnection ; non-pulmonary vein triggers ; peri-device leak ; cardiac computed tomography angiography ; leadless single-chamber pacemaker ; complication ; atrioventricular synchrony ; leadless dual-chamber pacemaker ; strategy selection ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBG Medical equipment & techniques
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This reprint focusses on Smartness, a multidisciplinary topic, which is examined from four perspectives: Sensors, IoT, and Data Generation; Data and Information Processing; Actuation; and Digital Systems and Infrastructure. We see smartness in the way sensing is embedded in a system, the way data and information are processed, how a system interacts internally and with its environment, and whether a system is ubiquitous or limited by space (cloud-based or edge-enabled). This reprint contains a total of 14 chapters, which are grouped according to their areas of application: mobility and transportation, healthcare, industrial environments, and other urban infrastructures. This book covers a range of topics, including mobility; healthcare; image analysis; permeable pavements; solid-waste management; sensor node and gateway architectures; cloud, fog, and edge computing; air-quality monitoring; thermal anomalies and smart helmets in industrial environments; smart airports; smart districts; smart travel choices; sensor cities; artificially intelligent cities; platform urbanism; and more.
    Keywords: artificial intelligence (AI) ; artificially intelligent city ; artificially intelligence commons ; smart city ; smart urban technology ; urban informatics ; sustainable urban development ; climate change ; pandemics ; natural disasters ; sensor city ; City 4.0 ; smart urbanism ; smart governance ; disruptive urban transition ; Internet-of-Things (IoT) ; technology giants ; sensors ; transit ; bus ; transfer ; smart card ; spatial analysis ; mode choice ; internet of everything (IoE) ; 6th generation (6G) networks ; artificial intelligence ; Distributed AI as a Service (DAIaaS) ; fog computing ; edge computing ; cloud computing ; smart airport ; smart districts ; PPE ; OHS ; risk detection ; naive Bayes ; support vector machine ; convolutional neural network ; deep learning ; microcontroller ; edge-fog-cloud computing ; Internet of Things ; robotics ; autonomous driving ; image registration ; smart sensor ; real time big data ; land-use ; air quality ; particulate matter (PM10 PM2.5) ; Intelligent Transportation Systems ; functional requirements ; machine learning ; model actionability ; model evaluation ; cloud server ; customized sensor node ; customized gateway ; FLoRa simulation ; LoRa range radio ; solid waste management ; smart cities ; big data ; event detection ; road traffic ; distributed machine learning ; automatic labeling ; social media ; data analytics ; social media analytics ; Arabic tweets ; 3D microstructure reconstruction ; permeable pavement ; generative adversarial networks ; tiny AI ; tiny ML ; distributed AI as a service (DAIaaS) ; skin disease diagnosis ; healthcare ; smart societies ; smart healthcare ; reference architecture ; TensorFlow ; visually impaired ; smart mobility ; LiDAR ; ultrasonic ; obstacle detection ; obstacle recognition ; assistive tools ; green computing ; sustainability ; Arduino Uno ; smart app ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-05-11
    Description: There has been a rapid development in the academic literature over the last ten years on papers relating to individualization, personalization, patient-, client-, consumer- and person-centredness, with work on conceptual, instrumental, observational, and experimental levels. This Special Issue presents papers that can further establish the current state of science on these topics relating to personalized nursing and health care. We collected papers that highlight and further the knowledge base conceptually, instrumentally, observationally, and experimentally with sound theoretical and methodological underpinnings and implications for research, theory, and clinical work in the disciplines of nursing, medicine, allied health, and beyond.
    Keywords: anxiety ; life satisfaction ; life–work concerns ; melatonin ; cortisol ; biopsychosocial model ; obstetric complications ; patients’ rights ; student ; nursing ; personalized medicine ; HIV ; mobile health ; smartphone application ; symptom management ; nurse practitioners ; nursing home ; COVID-19 ; palliative care ; end-of-life ; dignified death ; older adults ; accidental falls ; fall prevention ; barriers ; patient compliance ; music therapy ; dementia ; caregiver ; RCT ; patient-centred care ; competence ; assessment ; instrument ; measurement ; validity ; reliability ; individual care ; nurses ; older diabetes patients ; physicians ; support ; Parkinson’s disease ; nursing training ; integrated care ; Parkinson nurse ; personalized care ; multidisciplinary care ; patient-centered ; arthritis ; autoimmune disease ; sociopsychological factors ; emotion ; depression ; self-identity ; qualitative study ; observational study ; dysmenorrhea ; kinesio tape ; auricular acupressure ; pain ; nursing care ; patient care planning ; quality of health care ; conditional inference trees ; education ; distance ; learning ; digital ; drawings ; Nigeria ; perinatal loss ; social networks ; stillbirth ; stillborn ; functional status ; health care ; hospitalization ; activities of daily living ; pelvic floor muscle exercises ; pelvic floor dysfunction ; qualitative research ; therapeutic exercise ; therapeutic adherence ; women’s health physiotherapy ; diabetes mellitus type 2 ; prediction model ; LogicRegression ; interpretability ; pelvic organ prolapse ; lifestyle changes ; women’s experience ; n/a ; foot ; foot self-care ; methodological review ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint contains several articles where the molecular mechanisms and structural changes in target proteins on interaction with various viruses and bacteria were studied. In addition, drug-protein interactions, drug–drug interaction mechanisms, anti-Glycating, antioxidant, binding affinity, network pharmacology-driven investigations, and targeted anticancer treatments were also investigated.
    Keywords: RSV ; ectodomain G protein ; heparan sulfate ; protein–ligand interaction ; fluorescence quenching ; molecular docking ; molecular dynamic simulation ; quercetin ; CCL4 ; neurotoxicity ; VirtualToxLab ; oxidative stress markers ; Huperzine A ; molecular dynamics simulation ; fluorescence spectroscopy ; human serum albumin ; neurodegenerative disorders ; drug–protein interactions ; erlotinib ; bovine serum albumin ; binding interaction ; competition ; hepatitis E virus ; methyltransferase ; protein stability ; enzyme assay ; garlic ; antioxidant ; anti-glycation ; glycation ; AGEs ; HSA ; quetiapine ; hydrophobic interaction ; thermodynamic parameters ; seproxetine ; antidepressant ; charge transfer ; π-acceptors ; DFT ; haloperidol ; antipsychotics ; keratoconus ; MMP-2 ; MMP-9 ; molecular dynamics ; MM-GBSA calculations ; pharmacophore mapping ; α-amylase ; advanced glycation end-products ; caffeic acid ; coumaric acid ; coronary artery disease ; phytotherapy ; network pharmacology ; angiogenesis ; zebrafish ; dynamics molecular docking ; NEK7 ; virtual screening ; DFTs ; deep learning ; drug design ; drug repurposing ; structural-based ; cancer ; A. aspera ; β-amyrin ; C. gigantea ; C. procera ; GC-MS ; Minimum inhibitory concentration (MIC) ; Molecular docking ; MD simulations ; Tuberculosis (TB) ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This reprint includes impactful chapters related to document-image related visual sensing, which do present and comprehensively discuss selected scientific concepts, frameworks, architectures and ideas on sensing technologies and machine-learning techniques. Indeed, document imaging/scanning approaches are essential techniques for digitalizing documents in various real-world contexts. This reprint emerging from the Special Issue "Document-Image Related Visual Sensors and Machine Learning Techniques” can be viewed as a result of the crucial need for document management systems. Such technologies are being applied in various fields or different domains and parts of the world to address relevant challenges that could not be addressed without the advances made in these technologies. The reprint includes impactful chapters that present scientific concepts, frameworks, architectures and innovative ideas on sensing technologies and machine-learning techniques to overcome a series of key challenges related to document imaging/scanning, text detection, text recognition, and documents clustering.
    Keywords: feature learning ; incomplete multimedia data ; fuzzy c-means ; variational autoencoder ; multispectral imaging ; document scanning ; portable sensor ; depth image filtering ; point clouds filtering ; Kinect v2 ; depth resolution ; close range ; hand pose ; image binarization ; optical character recognition ; document images ; local thresholding ; image pre-processing ; natural images ; scene text recognition ; visual sensor ; text position correction ; encoder-decoder network ; chart recognition ; deep learning ; visualization ; classification ; detection ; perspective correction ; house architecture type classification ; house type classification ; convolutional neural networks ; document classification ; feature selection ; data augmentation ; imbalanced dataset ; scene text detection ; multiple scales ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars).
    Keywords: speech emotion recognition ; domain adaptation ; SER generalization ; Korean Emotional Speech Database ; ensemble model ; multi-path ; group-loss ; BLSTM network ; facial micromovement ; emotion recognition ; emotion authenticity ; HRV parameter ; game addiction ; League of Legends ; stress response ; sensitivity ; specificity ; logistic regression ; facial action unit ; facial aging ; facial expression ; posed emotion ; virtual avatar ; virtual human ; virtual character ; embodied conversational agent ; social interaction ; empathy ; CNN ; cognitive workload ; functional connectivity analysis ; LSTM ; mental workload ; mutual information ; phase locking value ; phase transfer entropy ; deep learning ; facial expression recognition (FER) ; 3D convolutional neural network (3D CNN) ; multirate signal processing ; minimum overlapped frame structure ; self-attention ; multi-depth network ; video content empathy ; micro-movement synchronization ; non-contact empathy measurement ; empathic advertisement ; multimodal affective computing ; catecholamines ; emotion classification ; wearable devices ; deep neural networks ; multispectral imaging ; face recognition ; in the wild ; driver emotion recognition ; multimodal ; self-report ; real-world driving ; EEG ; learning emotions ; attention ; convolutional neural network ; multi-channel band features ; eye movement ; brain connectivity ; review ; human emotions ; affective and physiological states ; Plutchik’s wheel of emotions ; sensors ; methods and applications ; statistical and multiple criteria analysis ; country success and publications maps of the world ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: After almost two decades of continuous development in bio, circular, and green economy, the time is ripe for the assessment of the major achievements and challenges that private and public enterprises face today to further enhance these global sustainability concepts. Due to the central role of political incentives for the development and implementation of environmentally friendly and sustainable practices, the present book project focuses on the nexus between public policies, institutions, quality of public sector management, and patterns of interaction between government and private businesses in backing bio, green, and circular economy practices and eco-innovation. In addition, the project also accommodates surveys that elaborate on the differences between the implementation of new organizational forms and scientific innovations in technologically advanced and developing settings.
    Keywords: energy demand ; renewable energy ; biomass ; energy policies ; organizational factors ; healthcare waste management practices ; public hospitals ; Libya ; consumers ; cluster analysis ; sustainable consumption ; mass media ; social media ; green hydrogen ; green hydrogen value chain ; developing countries ; renewable energy sources ; hydrogen strategy ; scaling ; upscaling ; scaling innovation ; innovation diffusion ; innovation ; systematic literature review ; garbage sorting ; urban garbage disposal ; rural garbage disposal ; willingness ; family life ; neighbourhood ; COVID-19 ; Pakistan economy ; economic scale ; Keynesian theory ; mitigation ; economic revival measures ; innovations ; renewable power ; rebound effect ; low-carbon economy ; carbon pricing policy ; border carbon tax ; Sino–US trade friction ; export grab effect ; firm innovation ; GDP prediction ; feature selection ; deep learning ; temporal convolutional network ; organizational sustainability ; social and economic sustainability ; knowledge sharing ; organizational agility ; organizational behavior ; sustainable organizations ; economic sustainability ; consumer experience ; sustainable commerce ; online consumer behaviour ; e-commerce platform ; online purchase intention ; online customer engagement ; energy security ; energy policy ; energy resources ; sustainability ; bibliometrics ; circular business model ; open business model ; sharing economy ; circular economy ; peer-to-peer ; electricity trading ; green product ; green consumer behavior ; environmental responsibility ; environmental concern ; green purchasing decisions ; green business ; consumption dimension ; production dimension ; financial dimension ; technological dimension ; fundraising campaigns ; social networking sites ; NPO ; humanitarian response ; Kuwait ; Bahrain ; Guatemala ; forest ; property rights ; community concession ; entrepreneurship ; forest sustainability ; economic development ; free-market environmentalism ; Latin America ; consumption coupons ; purchase probability ; inventory optimization ; minimum-cost maximum-flow ; bioeconomy ; green growth ; eco-innovation ; environmental Kuznets curve ; EKC ; environmental economics and policy ; ecological economics ; resource management ; sustainable development ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: The reprint provides the most relevant and state-of-the-art in the field, including recent developments in the production of natural compounds from various bioresources, and their formulations as bioactives. This reprint also covered the engineered approaches for enhanced biological properties and their potential applications. Identification of novel compounds and bioprocess tools to improve the quantity and quality of bioactive compounds and their formulations are exclusively covered in this reprint.
    Keywords: anti-solvent ; enzymatic saccharification ; EMIM-Ac ; ethanol ; ionic liquid ; lignocellulosic biomass ; recycling ; agro-industry ; microencapsulation ; bioactive compounds ; in vitro digestion ; yogurt ; cannabis ; cannabinoids ; postharvest ; drying ; curing ; storage ; biosynthesis ; pre-treatments ; sorption isotherm ; Raphanus sativus L. ; recombinant IFN-α2a ; apoptosis ; antiviral and antitumor activity ; Japanese knotweed rhizome bark ; SARS-CoV-2 ; COVID-19 ; virus neutralization test ; nano-formulation ; nutraceuticals ; prebiotics ; nanofabricated delivery system ; liposomes ; nano-emulsions ; Abelmoschus manihot ; neurodegenerative disease ; oxidative stress ; proliferation ; inflammation ; nucleotide excision repair ; Actinosynnema pretiosum ; ansamitocin P-3 ; ssgA ; AdpA ; morphological differentiation ; pomegranate ; pomace ; extraction ; biological activity ; functional beverages ; sensory quality ; vitamins ; formulation ; homogeneous systems ; hydrophile–lipophile balance ; Emblica officinalis ; phytochemicals ; hyperlipidemia ; pharmacology ; nanoformulation ; Prunus mume ; vasorelaxant ; hypertension ; angiotensin receptor blockers ; agro-waste ; valorization ; value-added bioproducts ; micro/nano encapsulation ; agri-food-pharma applications ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSB Biochemistry
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-06-23
    Description: The field of healthcare is constantly evolving and advancing with new technologies and innovations. Among these, assistive technologies, robotics, and automated machines are rapidly gaining ground as powerful tools to improve the quality of care and enhance patient outcomes. From wearable devices that monitor vital signs to surgical robots that assist in complex procedures, these technologies have the potential to revolutionize the way we deliver healthcare. The development and the integration of assistive technologies, care robots, and automated machines are strategic both as single components, when paired together, and when interconnected in the health domain.This reprint explores the latest developments in assistive technologies, robotics, and automated machines in the health domain, providing a comprehensive overview of their applications and potential impact. The reprint is for the benefit of healthcare professionals, researchers, engineers, and students interested in these rapidly evolving fields.
    Keywords: n/a ; rehabilitation ; virtual reality ; upper extremity ; virtual rehabilitation ; Facebook advertisements ; personalized advertisements ; social media ; precision medicine ; public health informatics ; public health communications ; consumer health informatics ; population health ; human immunodeficiency virus ; diagnosis ; acquired immunodeficiency syndrome ; regulation ; artificial intelligence ; digital radiology ; medical devices ; child patient ; care robot ; caregiver ; hospitalization ; testing ; motor coordination ; screening tool ; robotic exoskeletons ; servo motor ; brushless ; brushed ; actuators ; torque ; centre mass ; clinical decision ; U-Net ; CNN ; CAD system ; brain tumor ; classification ; segmentation ; humanoid social robot ; older adults ; living alone ; loneliness ; social isolation ; home-based ; spinal cord injuries ; assistive technology ; tongue barbell piercing ; tongue drive system ; inductive tongue control system ; rehabilitation robot ; assistive technology sports rehabilitation ; continuation therapy ; degenerative diseases ; elder ; telemedicine ; expectation confirmation theory ; trust typology theory ; personal privacy concerns ; urination and defecation care ; automation ; multi-sensor fusion detection algorithm ; stroke ; gait robot ; goal setting ; Remote Monitoring Digital Solutions (RMDSs) ; elderly patient ; mental and emotional decline ; COVID-19 ; exoskeleton device ; gait ; robot ; personal satisfaction ; physical fitness ; orthodontics ; AI ; ChatGPT ; AI Treatment Assessment ; Teledentistry Cephalometrics ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBG Medical equipment & techniques
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This reprint covers 27 papers published in the Special Issue entitled “Corporate Finance, Governance, and Social Responsibility,” which examines several topics related to corporate finance, financial modeling, corporate governance, and corporate social responsibility. Corporate finance-related articles (Anton and Afloarei Nucu, 2021; Bae et al., 2023; Kedzior et al., 2020; Lääts and Lukason, 2022; Miglo, 2020; Mihail et al., 2021; Mota and Moreira, 2023; Tsolas, 2021; Tudose et al., 2021; and Wen et al., 2021) focus on the drivers of the capital structure and firm performance, the effect of working capital management on profitability, and the link between derivative use and profitability. Regarding financial modeling, stock market volatility was explored during COVID-19 (Gherghina et al., 2021). Corporate governance studies (Aluchna and Kuszewski, 2020; Ararat et al., 2021; Ding and Chea, 2021; Kjærland et al., 2020; Lourenço et al., 2021; Lukason and Camacho-Miñano, 2020; Maier and Yurtoglu, 2022; Mihail and Dumitrescu, 2021; Mihail et al., 2022; Mihail and Micu, 2021; and Pourmansouri et al., 2022) examine the effect of corporate governance compliance practices, board attributes, or employee stock option plans on bankruptcy risk, performance, firm value, or earnings management. Regarding CSR (Bozos et al., 2022; Rossi et al., 2021; Saeed and Sroufe, 2021; Singh and Hong, 2023; and Tseng and Shih, 2022), the research focuses on how CSR affects financial performance, risk management, or analyst profits estimates.
    Keywords: capital structure ; New Technology-Based Firms (NTBFs) ; internal and external innovativeness ; intangibility ; corporate governance ; information disclosure ; timeliness of financial reporting ; law violation ; private firms ; corporate governance best practice ; corporate governance compliance ; company value ; Warsaw Stock Exchange ; accrual earnings management ; Nordic model ; zero-debt policy ; flexibility ; tax shield ; free cash flow problem ; debt overhang ; dividend policy ; emerging economy ; profitability ; working capital management ; employee stock option plans ; executive compensation ; firm performance ; New Zealand ; financial derivatives ; Shenzhen stock exchange of China ; state-owned companies ; private-owned enterprises ; performance ; measurement of performance ; EVA ; strategies ; business success ; Romanian stock market ; volatility clustering ; autocorrelation ; COVID-19 ; GARCH models ; vector autoregression model ; Granger causality ; CSR practice ; financial performance ; environmental social and governance (ESG) ; board size ; independent board members ; return on equity ; Romania ; boards of directors ; Egypt ; gender diversity ; Egyptian Revolution ; investor relations ; Bucharest Stock Exchange ; firm efficiency ; data envelopment analysis (DEA) ; pharmaceutical, cosmetic and detergent (PCD) firms ; Greece ; agency ; corporate social responsibility ; information environment ; distress risk ; trade credit ; LGBT ; market value ; resource-based theory ; sexual orientation and identity ; simultaneous equations ; protection of minority investors ; stock market development ; economic growth ; board diversity ; CEO characteristics ; board committees ; ownership concentration ; agency theory ; COVID-19 pandemic ; Iran ; global economy ; financial management ; corporate social responsibility reports ; mandatory disclosure ; mandatory assurance ; analyst forecast accuracy ; analyst forecast dispersion ; board independence ; bankruptcy risk ; Europe ; corporate sustainability ; environmental ; social ; failure risk ; nonbinding voting ; shareholder activism ; systematic risk ; risk management practices ; performance outcome ; strategy ; supply chain ; capital budgeting ; capital budgeting practices ; footwear industry ; metalworking industry ; manufacturing ; SMEs ; equity investments ; property and liability insurers ; financial crisis ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCM Development economics and emerging economies
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The use of telemedicine and mobile devices is growing, and sensors might aid in creating creative solutions. Developing these solutions is crucial for monitoring senior citizens, lifestyles, and medical procedures. This Special Issue’s goal was to bring together academics and professionals in healthcare and medicine interested in using information and communication technologies (ICT) to serve people with special needs. The development of assistive technology for various users to follow sports and other activities is strongly tied to this study area. Data protection is crucial, and the development of these solutions for medical uses should be verified. The security and privacy of the information may be tied to other recognized research projects for their acceptability. ICT research has considerably improved quality of life and has fully assimilated all citizens into society through medical rehabilitation and assistive technology. The technologies and research fields that influence medical informatics include databases, networking, graphical user interfaces, data mining, machine learning, intelligent decision support systems, and specialized programming languages. Because mobile devices are commonly used for several everyday chores and are equipped with sensors that monitor various physical and physiological indicators, it is crucial to encourage the development of m-Health and e-Health solutions for healthcare practitioners. In this area, several solutions are now being developed. In addition, they can collaborate with emerging technologies for social assistance while enhancing life quality.
    Keywords: data privacy ; taxonomy ; IoT ; COVID-19 ; mobile application ; accelerometer sensor ; stand-up time ; total time ; aging ; linear-map convolutional neural network ; direct acyclic graph ; action recognition ; spatial feature ; temporal feature ; frailty ; home monitoring ; user-centered design ; usability ; user experience ; acceptance ; activity recognition ; Internet of Things ; smart house ; deep learning ; channel state information ; glaucoma screening ; retinal images ; segmentation ; classification ; precision nutrition ; food plans ; machine learning ; food logging ; Eight Hop Test ; systematic review ; measurement ; sensors ; diseases ; wrist-wearable device ; PPG processing ; physiological parameters ; web-based applications ; data analysis ; elderly monitoring ; successful aging ; gerontechnology ; AAL ; healthcare ; prevalidation ; deployment ; chronic heart failure ; large-scale pilot ; H2020 ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries ; bic Book Industry Communication::U Computing & information technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: We are honored to announce this reprint, containing contributions from the top experts in the field of logic and fuzzy logic. In total, this reprint consists of 10 papers that were selected from more than 20 submissions. The 10 papers comprising the reprint are the product of re-known experts in fuzzy logic from all over the world, such as Canada, Poland, China, Slovakia, Lithuania, Turkey, Pakistan, Germany, Serbia, Portugal, Taiwan, Norway, India, Saudi Arabia, Thailand, and Mexico. We expect that the papers comprising the Special Issue will contribute to an advancement in the state of the art in the fields of logic and also fuzzy logic.
    Keywords: fuzzy-sets ; fuzzy-random variables ; distribution generating function ; fuzzy binomial distribution ; Fuchs distribution ; MADM ; Aczel–Alsina operations ; IVIFNs ; IVIF Aczel–Alsina geometric aggregation operators ; interval type-3 fuzzy theory ; fuzzy control ; manufacturing ; Vietè’s method ; Newton–Raphson method ; regula falsi method ; testing of algorithms ; foundations of mathematics ; arithmetic ; set theory ; spatial fuzzy C-means ; COVID-19 ; rustbelt states ; extrapolation ; interpolation ; proving ; refuting ; improving ; fuzzy set ; linear Diophantine fuzzy sets ; linear Diophantine fuzzy relations ; level cut relations ; rough approximations on two universes ; decision analysis ; multi-valued logic trees ; hydraulic proportional valve ; weighting factors ; optimization ; granular computing ; formal concept analysis ; intuitionistic fuzzy sets ; periodicity ; spatial and temporal aspects ; knowledge discovery ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Novel Anticancer Strategies (Volume II) reviews important findings and updates within the cancer therapy field of great interest to those in academic research studying the development and validation of novel anticancer approaches. The Editor invited preeminent specialists to contribute to original and review articles devoted to key areas of major progress and expectations. Key Features:Nanoparticle-based drug delivery in cancer therapy;Nanoerythrosomes;Cancer immunotherapy;Therapeutic vaccines;Oncogenic and tumor suppressive components of the cell cycle;Antimitotics in cancer clinical trials;Multifunctional enzymes as anti-cancer drug targets;Targeting undruggable proteins and non-coding RNAs;Cell-penetrating peptides;Repurposed cancer drugs in clinical trials;Circulating tumour cells.
    Keywords: Breast cancer treatment ; Photodynamic therapy ; Inorganic nanoparticles ; Active targeting ; cathepsins ; BAX ; MOMP ; ubiquitination ; apoptosis ; chemotherapy ; cancer ; nanoerythrosome ; nanoerythrocyte ; nanovesicles ; biomimetic ; cancer therapy ; diagnostics ; imaging agents ; cell cycle ; cyclin-dependent kinase ; p16 ; p21 ; p27 ; breast cancer ; prognosis ; drug delivery ; HL60 ; leukemia ; prodrug ; resistance ; retinoic acid ; vitamin K ; drug repurposing ; COVID-19 ; pandemic ; vaccination ; multi-drug resistance ; enhanced permeation and retention effect ; nanotherapeutics ; cancer theranostic ; clinical translation ; cell-penetrating peptides ; protein transduction domains ; tumor imaging ; targeted therapies ; dog ; comparative oncology ; molecular targets ; spheroids ; tumoroids ; hydrogel ; collagen ; agarose ; mammary spheroids ; tissue engineering ; cisplatin ; melanoma ; melanin nanoparticles ; cytotoxicity ; laser medical applications ; hyperthermia ; antimitotics ; mitotic slippage ; spindle assembly checkpoint ; clinical trials ; TRAIL ; cancer stem cells ; TRAIL resistance ; angiogenesis ; on-demand drug delivery systems ; electrospun nanofibers ; poly (N-isopropylacrylamide) ; gold nanorods ; paclitaxel ; β-Cyclodextrin ; SPIONs ; metallodrugs ; RAPTA derivatives ; phosphino-amine ligands ; CTCs ; NSCLCs ; metastasis suppression ; curcumin ; flavonoids ; TNBC ; immunotherapy ; immune checkpoint ; nanocarrier ; combinational immunotherapy ; lung cancer ; miRNA ; oncomiRs ; photodynamic therapy PDT ; porphyrin ; iron oxide nanoparticles ; mesoporous silica nanoparticles ; antibody functionalization ; targeted drug delivery systems ; molecular-targeted therapies ; multifunctional enzymes ; HCC ; CHRNA5 ; metastasis ; stemness property ; sorafenib sensitivity ; neoantigens ; vaccine ; Patched ; chemotherapy resistance ; metastases ; persistent cells ; adrenocortical carcinoma ; BUB3 ; mitosis ; senescence ; anticancer target ; boron neutron capture therapy ; 4-borono-l-phenylalanine ; drug discovery ; solubility ; mebendazole ; polymer ; HPMA ; controlled drug release ; PLK1 ; BI2536 ; Navitoclax ; slippage ; PD-1 ; gemcitabine ; new anti-cancer drugs ; precision medicine ; undruggable targets ; non-coding RNAs ; oligonucleotide therapeutics ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MJ Clinical & internal medicine::MJC Diseases & disorders::MJCL Oncology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Each year, natural hazards, such as earthquakes, landslides, avalanches, tsunamis, floods, wildfires, severe storms, and drought, , affect humans worldwide, resulting in deaths, suffering, and economic losses. According to insurance broker Aon, 2010–2019 was the worst decade on record for economic losses due to disasters triggered by natural hazards, amounting to USD 3 trillion, which is USD 1 trillion more than for the period of 2000–2009. In 2019, the economic losses from disasters caused by natural hazards were estimated at over USD 200 billion (UNDRR Annual Report, 2019). In this context, remote sensing shows high potential to provide valuable information, at various spatial and temporal scales, concerning natural processes and their associated risks. The recent advances in remote sensing technologies and analysis, in terms of sensors, platforms, and techniques, are strongly contributing to the development of natural hazards research. With this Special Issue titled “Remote Sensing for Natural Hazards Assessment and Control”, we proposed state-of-the-art research that specifically addresses multiple aspects on the use of remote sensing (RS) for Natural Hazards (NH). The aim was therefore to collect innovative methodologies, expertise, and capabilities to detect, assess, monitor, and model natural hazards. The present Special Issue of Remote Sensing encompasses 18 open access papers presenting scientific studies based on the exploitation of a broad range of RS data and techniques, as well as focusing on a well-assorted sample of NH types.
    Keywords: wildfires ; hillslope erosion ; satellite imagery ; rainfall erosivity ; RUSLE ; rockfall source areas ; identification ; relief ; slope angle ; rock mass strength ; rockfall susceptibility ; land subsidence ; Geographic Information System (GIS) ; InSAR ; machine learning algorithm ; meta-heuristics ; Iran ; k-Nearest Neighbor ; Random Forest ; fires ; Landsat 8 ; Sentinel 2 ; Terra ; ASTER ; MODIS ; burned ; mapping ; hazard chain ; turbidity ; suspended sediment detection ; extreme climate events ; tailing dam risk management ; spatiotemporal pattern mining ; El Niño ; remote sensing ; geographic information system ; flash floods ; visual analysis ; SAR offset tracking ; glacier surface velocity ; glacier instability ; glacier hazards ; ice avalanches ; ENSO ; glacier mass balance ; glacier surface energy ; earthquake ; coseismic effects ; field line resonance ; acoustic gravity waves ; lithosphere-magnetosphere coupling ; burnt area monitoring ; Australia ; Sydney ; wildfire ; earth observation ; mid-resolution sensors ; time series analysis ; burn severity ; climate zones ; deep learning ; PRISMA ; burned area ; Sentinel-2 ; morphological operator ; convolutional neural network ; casualty prediction ; importance assessment ; spatial division ; support vector regression ; digital image correlation ; phase correlation ; optical flow ; time series image stack ; landslides ; ground motion identification ; displacement mapping ; UAS ; risk assessment ; random forest ; DInSAR ; Yan’an city ; settlement prediction ; reclaimed land ; exponential model ; Asaoka method ; wide-area deformation ; deformation detection ; time-series InSAR ; stacking ; Turpan–Hami basin ; heavy rainfall ; shallow landslides ; TRIGRS model ; spatial distribution ; susceptibility assessment ; Longchuan County ; Guangdong Province ; MT-InSAR ; ground deformation monitoring ; Sentinel-1A/B ; image partition ; block adjustment ; Gaofen-2 ; Interferometric synthetic aperture radar (InSAR) ; freeze–thaw processes ; permafrost ; Qilian Mountains ; natural hazards ; hazard ; vulnerability ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Transportation is one of the most crucial aspects across the world, supporting the daily life of human beings and the sustainable development of the whole of society. Generally, meteorology causes various impacts on transportation operation, safety and efficiency. In the context of global warming, increasing numbers of extreme weather and climate events (such as fog, icy roads, and extreme winds) have been detected worldwide and are expected to occur more frequently in the future. Meanwhile, extreme events, such as dense fog, rainstorm, and blizzard, tend to damage transportation and traffic facilities (such as express ways, port, airport, and high-speed railway) and induce serious traffic blocks and accidents. In recent decades, concentrated and continuous efforts have been made to carry out meteorological analyses regardless of urban traffic or transportation conditions, including those of highways, shipping, aviation, etc. A number of methods and techniques have been intensively developed to promote the qualities of both observations and forecasts. More recently, state-of-the-art machine learning frameworks have also been widely introduced into studies regarding transportation meteorology and many other fields.
    Keywords: transportation meteorology ; pavement temperature prediction ; deep learning ; BiLSTM ; attention mechanisms ; winter icing ; air pollution ; traffic vitality ; built environment ; spatial correlation ; spatial lag model ; phone signaling data ; air quality ; behavioral habits ; activity density ; population distribution ; land use mix ; wind forecast ; error decomposition ; bias ; distribution ; sequence ; urban meteorology ; observation ; forecast ; early warning ; review ; China ; low-level wind shear ; ensemble learning classifiers ; Bayesian optimization ; SHapley Additive exPlanations ; wind shear ; go-around ; machine learning ; dynamic ensemble selection ; civil aviation safety ; pilot reports ; self-paced ensemble ; Shapley additive explanations ; climate change ; climatology ; sea ice ; marginal sea ; East Asia ; time-series modeling ; pavement temperature ; nowcasting ; variation characteristics ; forecast validation ; relative humidity ; microwave radiometer data ; total rainfall ; precipitation duration ; vertical distribution ; Beijing–Tianjin–Hebei region ; rail breakage ; frequency ; high-speed railway ; Siberian high ; teleconnection ; temperature ; Qinling mountains ; rainfall ; change characteristics ; geographical factors ; highways ; road blockage ; fuzzy analytic hierarchy process ; CRITIC weight assignment method ; road network vulnerability ; spatiotemporal distribution ; precipitation forecast ; ConvLSTM ; PredRNN ; expressway ; agglomerate fog ; risk level prediction of fog-related accidents ; meteorological conditions ; road hidden dangers ; traffic flow conditions ; visibility ; Yellow Sea and Bohai Sea ; observation data ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-11-30
    Description: This reprint addresses healthcare transformation towards personalized, participative, preventive, predictive, and precision medicine (5P Medicine) with the support of new technologies such as micro-, nano-, and bio-techniques, as well as artificial intelligence and learning systems. It focuses, therefore, on the representation and management of knowledge from different domains and their actors, using their methodologies and languages but also individual skills and experiences. The outcome is a system-oriented, architecture-centric, ontology-based, policy-driven approach allowing a formal representation and management of health ecosystems, including their integration and interoperability. Such development is accompanied by security, privacy, and ethical challenges to be resolved. The reprint describes the principles, methodologies, and standards for successfully managing the transformation of health and social care, illustrated by many practical examples and implemented use cases. The reprint is based on papers published in the context of the pHealth 2021 Conference in Genoa, Italy. However, the content goes far beyond the focus and size of the original papers.
    Keywords: syntactical parsing ; natural language processing ; electronic health records ; Node2Vec ; automatic text labeling ; graph algorithms ; mobile application ; mHealth ; digital technology ; emergency service ; hospital ; emergency department ; clinical laboratory information systems ; communication ; text messaging ; pediatrics ; postoperative risks ; aortic aneurysm ; integrated data ; predictive modeling ; feature extraction ; machine learning ; privacy ; trust ; modelling ; antecedents ; Fuzzy attractiveness rating ; didactic ; Healthcare IT ; citizens ; E-Learning ; digitalization ; digitization ; patient empowerment ; education ; healthcare communications ; surgical biobank ; post-traumatic arthritis ; osteomyelitis ; semantic data integration ; system theory ; biomedical ontologies ; knowledge representation ; ascending aortic dilatation ; aneurysm ; risk factors ; echocardiography ; social media ; physical activity ; chatbot ; health ; participatory health ; usability ; conversational agent ; behavior change ; genomics ; security ; modular architecture ; GIPAMS ; standards ; Markov model ; periprosthetic joint infection ; revision arthroplasty ; total hip replacement ; decision trees ; oncohematology ; epilepsy risk ; epilepsy modeling ; COVID-19 ; pneumonia ; dynamical Bayesian networks ; treatment trajectories ; auto ML ; eHealth ; data democratization ; health data infrastructure ; privacy-enhancing technologies ; hospital-acquired infections ; international coding system ; laboratory information systems ; information extraction ; stress detection ; individual learning ; centralized learning ; federated learning ; smartwatch ; health transformation ; ecosystems ; knowledge representation and management ; architecture ; n/a ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: At present, data is constantly generated across various industries, including the internet. New technologies have emerged to trace data origins and assess their potential for collection, quantification, decoding, and analysis. Big data, signals, and images are of particular importance due to the wealth of domain-specific information they hold. These data play a critical role in addressing issues like national security, cybersecurity, marketing, medical informatics, and fraud detection. Deep learning techniques have gained immense popularity. They empower the analysis and understanding of vast amounts of unsupervised data, making them invaluable for processing when raw data lack categorization and labels. These applications extend to working with medical images and signal processing for wellness devices, remote monitoring, and neural devices. In industrial settings, data can be used for early warning systems in assembly lines, while massive datasets can be derived from electronic health records and hospital information systems, for example. This reprint is dedicated to exploring the application of deep learning in tackling significant challenges related to big data, images, and signals. It seeks to unravel the potential of these cutting-edge technologies in addressing complex real-world problems across diverse sectors.
    Keywords: big data ; image processing ; deep learning ; signal processing ; digital era ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-29
    Description: The reprint showcases a review and empirical studies on life satisfaction and its related aspects. The studies are from several countries on a wide range of samples including university students, faculty, nurses, entrepreneurs, adolescents, national databases, refugees, and community samples.
    Keywords: preference-based health-related quality of life ; refugee ; EQ–5D–5L ; post-migration stressors ; self-efficacy ; recreation specialization ; flow experience ; life satisfaction ; mediating effect ; Gallup World Poll ; New Zealand ; wellbeing ; trust in government ; social security fairness ; social security satisfaction ; social entrepreneur ; exit intention ; prosocial motivation ; gender ; nurses ; quality of life ; protective factors ; coping strategies ; type of practice ; COVID-19 ; ageism ; stereotypes ; discrimination ; work engagement ; conscientiousness ; physical well-being ; subjective well-being ; activities of daily living ; health ; physical activity ; post-COVID-19 condition ; work ; community home-based elderly care ; Chinese older adults ; kindness interventions ; materialism ; satisfaction with life ; self-determination theory ; emotional intelligence ; resilience ; self-esteem ; university students ; happiness ; positive affect ; family functioning ; developmental age ; systematic review ; youth ; adolescence ; normative stressors ; interpersonal stressors ; school stressors ; bic Book Industry Communication::J Society & social sciences::JM Psychology ; thema EDItEUR::J Society and Social Sciences::JM Psychology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology. A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications. In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications. This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports.
    Keywords: heterogeneous transformation ; SAR image ; optical image ; conditional generative adversarial nets (CGANs) ; self-supervised ; synthetic aperture radar (SAR) ; despeckling ; enhanced U-Net ; video synthetic aperture radar (Video-SAR) ; moving target tracking ; guided anchor Siamese network (GASN) ; interferometric synthetic aperture radar ; deep convolutional neural network ; phase unwrapping ; unsupervised change detection ; polarimetric synthetic aperture radar (PolSAR) ; UAVSAR ; multi-scale shallow block ; multi-scale residual block ; synthetic aperture radar ; image registration ; transformer ; deep learning ; SAR target detection ; multiscale learning ; ship detection ; SAR ship detection ; position-enhanced attention ; lightweight backbone ; image augmentation ; building extraction ; SAR ; semantic segmentation ; SAR dataset ; single-stage detector ; two-stage detector ; anchor free ; train from scratch ; oriented bounding box ; multi-scale detection ; computer vision ; low-grade road extraction ; remote sensing ; image segmentation ; optical images ; scene classification ; on-board ; lightweight self-supervised algorithm ; synthetic aperture radar (SAR) image ; arbitrary-oriented ship detection ; differentiable rotational IoU algorithm ; triangle distance IoU loss ; attention-weighted feature pyramid network ; multiple skip-scale connections ; attention-weighted feature fusion ; Rotated-SARShip dataset (RSSD) ; object classification ; radar image reconstruction ; convolutional neural networks ; ResNet18 ; GBSAR ; Omega-K algorithm ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint is the result of a Special Issue, which took place in the International Journal of Environmental Research and Public Health (IJERPH) during 2022-2023. The general topic of the reprint discusses the different uses, protection and promotion of food, always from a broad perspective, through 15 innovative research papers, from both qualitative and quantitative methodological approaches.
    Keywords: health ; values and preferences ; red meat ; processed meat ; cross-sectional study ; mixed methods ; explanatory sequential ; survey ; food consumption ; well-being ; dietary patterns ; sustainable consumption ; consumer behaviour ; food well-being ; subjective well-being ; social influence ; food choice ; climate-friendly eating ; social media ; political consumerism ; children’s health ; functional diversity ; commensality ; self-esteem ; shame ; loneliness ; aquaculture ; food heritage ; carp ; consumer preferences of Young Adult Populations ; marketing place ; sustainability ; consumer attitudes ; organic food ; consumer behavior ; sustainable food ; food surveys ; food change ; food policies ; sociology of food ; obesity ; edible insects ; alternative proteins ; planetary health ; systematic review ; gastronomic routes ; Iberian ham ; olive oil ; wine ; Córdoba ; ARIMA ; food ; gastronomic tourism ; social media data ; outdoor dining environment preference ; rural restaurants ; human-oriented ; rural sustainable development ; food label ; consumer purchase intention ; attitude ; food delivery app ; online food delivery ; online-to-offline (O2O) ; COVID-19 ; post-pandemic ; thematic review ; food preferences ; entomophagy ; nutrition surveys ; food neophobia ; cultural domains ; pile sorts ; food risk ; trust ; distrust ; pregnancy ; breastfeeding ; prehabilitation ; ERAS ; endometrial cancer ; surgery ; protein supplementation ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFC Cultural studies::JFCV Food & society
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: Advancements in medical imaging modalities have resulted in increasing the importance and demand of pediatric radiology. This reprint showcases various examples of advanced research in pediatric radiology and nuclear medicine. These include the use of medical imaging modalities such as computed tomography, general radiography, magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and ultrasound for diagnosis, as well as the performance of artificial intelligence (AI) in computer-aided detection and diagnosis in the pediatric population. The radiation dose issue of pediatric radiological examinations and emerging AI technology for dose reduction, as well as the use of three-dimensional printing based on medical images for pediatric surgical planning, healthcare professional education, and patient–clinician communication are also covered.
    Keywords: as low as reasonably achievable ; computed tomography ; convolutional neural network ; deep learning ; dose reduction ; generative adversarial network ; image processing ; machine learning ; medical imaging ; noise ; contrast-enhanced ultrasound ; head ultrasound ; brain death ; infants ; ancillary test ; child ; paediatric ; infant ; adolescent ; chest X-ray ; CXR ; chest radiography ; COVID-19 ; SARS-CoV-2 ; coronavirus ; biliary atresia ; ultrasonography ; diagnostic accuracy ; intraoperative cholangiography (IOC) ; diagnostic performance ; elastography ; three-dimensional printing ; congenital heart disease ; children ; model ; personalized medicine ; application ; confusion matrix ; disease identification ; image interpretation ; pneumonia ; artificial intelligence (AI) ; deep learning (DL) ; paediatric pneumonia ; chest radiograph ; computer-aided detection (CAD) ; cumulative ; radiation dose ; acute tonsillitis ; shear wave elastography ; stiffness ; pediatric ; magnetic resonance imaging ; infection ; neck ; emergency medicine ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The 10th International Conference on Modern Circuit and System Technologies on Electronics and Communications (MOCAST 2021) will take place in Thessaloniki, Greece, from July 5th to July 7th, 2021. The MOCAST technical program includes all aspects of circuit and system technologies, from modeling to design, verification, implementation, and application. This Special Issue presents extended versions of top-ranking papers in the conference. The topics of MOCAST include:Analog/RF and mixed signal circuits;Digital circuits and systems design;Nonlinear circuits and systems;Device and circuit modeling;High-performance embedded systems;Systems and applications;Sensors and systems;Machine learning and AI applications;Communication; Network systems;Power management;Imagers, MEMS, medical, and displays;Radiation front ends (nuclear and space application);Education in circuits, systems, and communications.
    Keywords: incremental power and timing optimization ; Lagrangian relaxation ; gate sizing ; multimode multicorner ; physical optimization ; two-qubit states ; quantum computers ; quantum gates ; Rabi oscillations ; single qubit quantum computer ; quantum operations simulation ; vision transformers ; computer vision ; deep learning ; artistic style recognition ; memristor model ; tantalum oxide ; memory crossbar ; nonlinear dopant drift ; window function ; LTSPICE library memristor model ; stochastic computing ; stochastic filtering ; stochastic FIR filter ; unconventional computing ; electrical masking ; interconnection delay ; Single Event Multiple Transients ; Soft Error Rate ; STA ; TCAD ; timing-masking ; transient faults ; IoT ; wireless sensor networks ; hydroponics ; smart agriculture ; Network-on-Chip ; bufferless routing ; 3D NoC ; Markov chains ; visible light communication (VLC) ; wireless communication ; analog front end (AFE) ; pre-amplification ; classification ; COVID-19 ; lightweight neural network ; medical imaging ; chest X-rays ; image sensors ; 3D pixels ; 3D sequential integration ; 3DSI ; monolithic 3D ; M3D ; coupling ; parasitic capacitances ; memristor ; emulator ; analog design ; switched capacitor ; mixed signal ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The digital economy has significantly impacted countries throughout the world by contributing to the growth of the economy and the further progress of societies. Recent developments demonstrate that the information and innovation-driven era triggered integration of traditional activities and digital technologies. Moreover, the rise of innovation has been accelerating in emerging industries such as cleantech, the new generation of information technology, biotechnology, and high-end equipment manufacturing. The estimations provided by the World Economic Forum predict that “new value creation over the next decade will be based on digitally enabled platform business models”. Therefore, organizations must change the traditional approaches adopted and capture value in the context of digital disruptions. These tendencies raise a number of management challenges that need to be solved by the efforts of the scientific community. Therefore, this Special Issue provides the platform for a fruitful discussion and the development of relevant theories.
    Keywords: leadership behaviors ; e-training ; employment security ; stress management ; employee performance ; teaching staff ; digitalisation ; hospital ; optimisation of resources ; equipment/facilities ; COVID-19 ; benefits ; savings ; leadership styles ; high-involvement human resource management practices ; small and medium enterprises ; digital era ; active learning ; growth mindset ; self-efficacy ; engagement of employees ; adaptive performance ; innovation management ; digital entrepreneurship ; creative industries ; tourism ; creative entrepreneurship ; research agenda ; e-government ; digital management ; e-leadership ; technologies ; municipalities ; stablecoins ; risks in business economics and finance ; digital trading and investment platforms ; economic sanctions ; digital currencies ; customer loyalty ; perceived service quality ; relational benefits ; relationship quality ; sustainability ; bibliometric analysis ; Scopus ; digital transformation ; labor market ; labor productivity ; unemployment ; Saudi Arabia ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCM Development economics and emerging economies
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: System dynamics is a simulation modeling approach to strategic and policy analysis that has been applied to many health care and public health issues since the 1960s and has become increasingly prevalent since the 2000s. The ten articles in this reprint appeared in a Special Issue of Systems and cover a broad cross-section of relevant methodological topics as well as applications to specific health problems.One methodological article describes the use of cascaded system archetypes, with an application to reducing hospital congestion. Another discusses Monte Carlo uncertainty analysis, with an application to the US opioid crisis. Three of the articles describe models of community response to severe shocks, including recovery from the COVID-19 pandemic. Two other articles address strategies for dealing with myriad chronic diseases and risk factors in a population. Other papers include in-depth analyses of prostate cancer screening, digital prosthetic services for lower-limb amputees, and the complex behavioral health challenge of youth homelessness.This reprint provides an excellent snapshot of the current state of practice in system dynamics as it is applied to public health, health care delivery, and health policy. It offers practical policy guidance and will be of interest to both experienced practitioners and those new to the field.
    Keywords: simulation model ; public health practice ; chronic disease ; prevention ; cardiovascular diseases ; cancer ; COVID-19 ; tourism recovery ; public policy ; system dynamics ; participatory modelling ; health ; social care ; integrated care ; hospital ; delayed hospital discharges ; strategy ; congestion ; capacity ; archetypes ; unintended consequences ; population health and well-being ; equity ; stewardship ; resilience ; simulation modeling ; uncertainty analysis ; optimization ; sensitivity testing ; Monte Carlo randomization ; opioid epidemic ; prosthetics ; major lower-limb amputations ; prosthesis usage ; amputee mobility ; health care system ; health policy ; youth homelessness ; child welfare ; juvenile justice ; mental health ; public health ; decision making ; long-term conditions ; resource allocation ; complex systems ; early detection of cancer ; mass screening ; decision-making ; dissemination ; clinical practice guidelines ; evidence-based guidelines ; policy decision thresholds ; prostate cancer ; natural history of disease ; biomarker ; PSA ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This Special Issue on advanced sensor technologies contains contributions on the latest developments in mobile robotic systems and related research. Various topics with different ideas and applications from mobile robotics have found their place. New ideas are presented for mobile robots that specialise in cleaning floors, power lines and HVAC systems. We also find innovative approaches for navigation path planning using local minima-free potential fields, novel path primitives and/or their parameterisation for minimum-time planning, and various control approaches ranging from visual serving to model predictive and adaptive trajectory tracking, applied to wheeled robots, humanoid manipulators and flying robots. Localisation approaches using LiDAR, motion capture systems, fingerprint-based and biomechanical gait systems are also discussed. In addition to advances in methodology, applications in healthcare, mining tunnels, cleaning, warehouses and other areas are mentioned.
    Keywords: UAVs ; inspection and maintenance ; mobile robots ; insulators ; artificial intelligence ; mobile cleaning robot ; vibration source classification ; predictive maintenance ; deep learning ; 1D CNN ; defect detection ; Faster R-CNN ; object detection ; IoRT ; inspection robot ; navigation ; model predictive control ; path planing ; warehouse automation ; underground mining robots ; scan matching ; localization and SLAM in tunnels ; 2D lidar navigation ; GPS-denied environment ; robot navigation ; path planning ; potential field ; bilinear interpolation ; dynamic local re-planning ; domestic dirt ; dirt dataset ; audit robot ; cleaning benchmark ; dirt classification ; robot-aided cleaning auditing ; geometrical feature ; cleaning auditing ; swarm algorithms ; motion trajectory prediction ; kinematical models ; gait biomechanics ; spherical robot ; model ; simulation ; CoppeliaSim (V-REP) ; visual servoing ; autonomous landing ; monocular vision ; aerial robotics ; localization and SLAM ; 3D lidar ; range sensing ; Uniform Second-Order Sliding Mode Observer ; Prescribed Performance Control ; robot manipulators ; finite-time Stability ; feature detection ; light-weight mapping ; B-splines ; localization ; mobile robot ; complete coverage ; path smoothing ; velocity profile optimization ; humanoid robot ; state estimation ; motion capture ; Whole-Body Control ; ADHD ; screening ; skeleton ; position estimation ; indoor positioning ; sensor fusion ; RSSI ; magnetometer ; fingerprint ; wheeled mobile robots ; trajectory generation ; velocity profile ; trajectory optimization ; Bézier curves ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Since the introduction of Bitcoin in 2009, the cryptocurrency market has experienced exponential expansion. Evolving from sets of transactions primarily conducted on Internet fora into a significant market valued at over 1.2 trillion USD as of August 2023, today cryptocurrency trading occurs 24/7 on more than 600 platforms. Despite its persistent volatility, recurrent speculation bubbles and subsequent market crashes, the trading characteristics of cryptocurrency exchanges are similar to those observed in mature financial markets. Recently, the correlation between the most frequently traded cryptocurrencies, specifically Bitcoin and Etherereum, has increased significantly versus the stock indices and other financial assets, suggesting an emerging connectedness with the global financial markets. This Special Issue collected research studies that make steps towards developing a better understanding of cryptocurrency market, with a particular aim of confirming or denying the growing signs of market maturity. Most submissions focus on price fluctuations in the cryptocurrency exchanges and produce evidence of the cryptocurrency market’s evolution into a valid and interrelated component of the global financial markets. Interestingly, the events related to COVID-19 contributed to the intensification of this process. Some articles address the structure of the cryptocurrency market, including DeFi, the methods of obtaining consensus used, and the environmental impact of these transactions.
    Keywords: public-key cryptosystem ; error correcting code ; bounded distance decoding ; blockchain technology ; cryptocurrency ; Kolmogorov entropy ; DAO ; metaverse ; Bitcoin carbon footprint ; Bitcoin mining ; energy consumption ; FIGARCH ; MFDFA ; long memory ; Hurst exponent ; permanent policy ; cryptocurrencies ; noise and trend effects ; tick-by-tick data ; network structure ; community detection ; COVID-19 ; AI ; business development ; information processing ; volatility ; precision ; financial development ; bitcoin ; ADCC-GARCH ; diversifier ; hedge ; safe haven ; anomaly score ; Mahalanobis distance ; minimum covariance determinant ; shrinkage estimators ; blockchain ; edge computing ; electric vehicles ; Ethereum ; P2P charging ; DeFi ; oracle ; automated market makers ; decentralized exchange ; lending protocol ; forex market ; complexity ; entropy ; multifractal analysis ; complex systems ; financial crisis ; econophysics ; financial markets ; cross-correlations ; multiscale ; time series ; fluctuations ; correlations ; multifractality ; market maturity ; market impact ; collective dynamics ; time series analysis ; portfolio optimization ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: The reliability of high-voltage equipment is critical to the safe operation of the power grid. This reprint focuses on the new developments and advances in both fundamental and applied research on the testing, monitoring, and diagnostics of high-voltage equipment, including insulators, transformers, etc.
    Keywords: HV bushing ; dielectric response ; paper–oil insulation ; temperature distribution ; distribution transformers ; failure analysis ; monitoring ; diagnostic method ; frequency response ; open and short-circuit response ; hydro-generators ; partial discharges ; PD Spectral Pulse Counting Map (PD-SPCM) ; microstrip antenna ; UHF method ; Frequency Resolved Partial Discharges (FRPD) ; AC breakdown characteristics ; arresters ; lightning protection insulator ; electric field calculation ; icing conditions ; cable insulation ; contact surface ; dielectric breakdown ; electrical breakdown ; polymeric insulation ; solid–solid interface ; surface roughness ; insulator ; deicing ; hot water jet ; numerical calculation ; temperature spatial distribution ; pollution insulators ; nonsoluble deposit density ; flashover characteristics ; arc parameters ; high voltage apparatus ; deep learning ; classification ; localization ; partial discharge ; faults ; outdoor insulators ; railway electrification system ; outdoor porcelain insulators ; low-frequency flashover AC voltage ; lightning impulse critical-flashover voltage ; icing ; anti-icing ; de-icing transmission lines ; ice-melting ; icing disaster ; diameter-expanded conductor ; current transferred ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: Non-destructive testing and evaluation are commonly referred to as the vast group of analysis techniques used in civil, medical, and industrial sectors to evaluate the properties of materials, tissues, components, or structures, without causing any damage. Automation offers many benefits for non-destructive testing to cope with increasing demands, including improved reliability and higher inspection speeds. Additionally, robots enable inspections in locations that are not easily accessible to human operators and allow for humans to be removed from potentially dangerous environments. However, the perceived complexity and high costs have limited the adoption of automation. As a result, the full potential that could be derived from the seamless integration of robotic platforms with sensors, actuators, and software has not been fully explored; it could still revolutionise the way that automated inspections are performed and conceived. The recent advancements in electronics, robotics, sensor technology and software pave the way for new developments in automated testing and data-driven autonomous robotic inspections in several sectors. This Special Issue aimed to attract the latest research outcomes in the field of robotic sensing. Five papers relate to inspection systems based on robotic fixed-base manipulators, three of which are associated with in-process inspection in manufacturing applications (robotic wire-arc welding and additive manufacturing). Four papers report research advancements in mobile robotic-enabled sensing.
    Keywords: wall-climbing robot ; passive adaptive mechanism ; magnetic circuit optimization ; flexible detection method ; welding robot ; seam tracking ; laser sensor ; feature point extracting ; complex welding seam ; UAVs ; inspection ; soft robotics ; non-destructive evaluation ; robotic NDE ; robotic welding ; robotic control ; in-process NDE ; ultrasonic NDE ; ultrasound ; image motion analysis ; image processing ; optical flow ; underwater robotic ; NDT ; free-form surface profiling ; autonomous robotic systems ; in-process robotic NDE ; Wire + Arc Additive Manufacture (WAAM) ; ultrasound testing ; total focusing method ; defect recognition ; aircraft inspection ; deep learning ; CNN ; UAV ; defect classification ; AI ; underwater vehicle–manipulator system ; robotics emulator ; contact management ; remote inspection ; force control ; automated eddy current testing ; eddy current arrays ; robotics ; thermography ; non-destructive testing ; image alignment ; image blending ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint contains all of the articles in the second edition of the Special Issue titled “Statistical Data Modeling and Machine Learning with Applications II”. This Special Issue belongs to the “Mathematics and Computer Science” Section and aims to publish research on the theory and application of statistical data modeling and machine learning. New mathematical methods and approaches, new algorithms and research frameworks, and their applications aimed at solving diverse and nontrivial practical problems are proposed and developed in this SI. We believe that the chosen papers are attractive and useful to the international scientific community and will contribute to further research in the field of statistical data modeling and machine learning.
    Keywords: forecasting model ; electricity energy consumption ; grey model ; artificial neural network ; machine learning ; rotation CART ensemble ; bagging ; boosting ; arcing ; simplified selective ensemble ; linear stacked model ; IoV ; xNN ; K-MEANS ; anomaly detection ; single-index models ; composite quantile regression ; SCAD ; Laplace error penalty (LEP) ; causality ; Bayesian networks ; scalability ; group lasso penalty ; data integration ; network estimation ; stability selection ; time series model ; wavelet transform ; neural network NARX ; ionospheric parameters ; gambling ; jackpot ; multidimensional integrals ; Monte Carlo methods ; lattice sequences ; digital sequences ; surface approximation ; surface segmentation ; surface denoising ; gaussian process latent variable model ; line geometry ; line elements ; regression ; classification ; prediction ; meteorological parameters ; traffic incidents ; multi-agent architecture ; air pollution ; random forest ; ARIMA errors ; MIMO averaging strategy ; multi-step ahead prediction ; unmeasured forecast ; Explainableartificial intelligence ; credit card frauds ; deep learning ; long short-term memory ; fraud classification ; lung cancer ; tumor ; CT image ; one-stage detector ; YOLO ; multi-scale ; receptive field ; data analysis ; decision trees ; LightGBM ; SHAP ; leisure time ; influencing factors ; time allocation ; neural networks ; cosmic rays ; space weather ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint showcases a selection of bleeding-edge articles about medical image processing and segmentation workflows based on artificial intelligence algorithms. The proposed papers are applied to multiple and different anatomical districts and clinical scenarios.
    Keywords: fundus image ; image registration ; deep learning ; computer vision applications ; nuclei segmentation ; histopathology ; Grad-CAM ; semantic segmentation ; instance segmentation ; nuclei detection ; pap smear ; cervical net ; shuffle net ; canonical correlation analysis (CCA) ; support vector machine (SVM) ; random forest (RF) ; k-nearest neighbour (KNN) ; artificial neural network (ANN) ; dual-energy CT ; two-step method ; limited-angular range ; directional total variation ; PA ; CNN ; tooth disease recognition ; image segmentation ; image preprocessing ; breast cancer ; mitotic nuclei classification ; histopathology images ; artificial hummingbird algorithm ; medical imaging ; cervical cancer ; feature fusion ; feature selection ; deep learning structures ; support vector machine ; disease discrimination accuracy ; performance comparisons ; 2D/3D registration ; orthogonal X-ray ; breast density ; CAD ; image enhancement ; textural ; auto-segmentation ; neuroimaging ; magnetic resonance imaging ; ovarian tumor ; 2D ultrasound image ; image inpainting ; lesion segmentation ; attention mechanism ; GAN ; medical image analysis ; synthetic CT ; MRI guidance ; MRI-only ; image-guided radiotherapy ; carbon ion radiotherapy ; particle therapy ; rare tumor ; PCNSL ; radiomics ; image normalization ; MRI ; prostate cancer ; prostate segmentation ; U-Net ; mp-MRI ; loss function ; automatic volume measurement ; ultrasound bladder scanner ; edge computing ; urinary disease ; artificial intelligence ; mandible ; segmentation ; 3D virtual reconstruction ; CBCT ; CT ; Convolutional Neural Networks ; comparison ; in-house ; software ; patch size ; Cranio-Maxillofacial surgery ; DICOM ; osteoarthritis ; histopathological ; hematoxylin eosin ; safranin O fast green ; DarkNet-19 ; MobileNet ; NasNet ; ResNet-101 ; ShuffleNet ; PCA ; ALO ; ensemble learning ; OCT ; pyramidal network ; scale-adaptive ; teeth segmentation ; panoramic radiographs ; mask-transformer-based networks ; panoptic segmentation ; tuberous sclerosis complex ; children ; convolutional neural network ; multi-contrast MRI ; rare neurodevelopmental disorder ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: When adopting remote sensing techniques in precision agriculture, there are two main areas to consider: data acquisition and data analysis methodologies. Imagery and remote sensor data collected using different platforms provide a variety of information volumes and formats. For example, recent research in precision agriculture has used multispectral images from different platforms, such as satellites, airborne, and, most recently, drones. These images have been used for various analyses, from the detection of pests and diseases, growth, and water status of crops to yield estimations. However, accurately detecting specific biotic or abiotic stresses requires a narrow range of spectral information to be analyzed for each application. In data analysis, the volume and complexity of data formats obtained using the latest technologies in remote sensing (e.g., a cube of data for hyperspectral imagery) demands complex data processing systems and data analysis using multiple inputs to estimate specific categorical or numerical targets. New and emerging methodologies within artificial intelligence, such as machine learning and deep learning, have enabled us to deal with these increasing data volumes and the analysis complexity.
    Keywords: vineyard ; pesticide application ; variable rate application ; unmanned aerial vehicle ; satellite ; nanosatellite ; monsoon crops ; leaf area index ; leaf chlorophyll concentration ; crop water content ; multispectral ; hyperspectral ; deep learning ; forage dry matter yield ; high-throughput phenotyping ; Brazilian pasture ; nitrogen indicator ; nitrogen nutrition diagnosis ; optical sensor ; spectral index ; UAV ; wheat lodging ; lightweight ; digital surface model (DSM) ; winter wheat ; fractional order differential ; continuous wavelet transform ; optimal subset regression ; support vector machine ; wheat powdery mildew ; machine learning ; information fusion ; remote sensing monitoring ; hyperspectral imaging ; dimensionality reduction ; LDA ; PLS ; PCA ; RandomForest ; ReliefF ; XGB ; Meloidogyne ; Solanum tuberosum ; soil salinity sensitive parameter ; random forest ; optimal retrieval model ; remote sensing ; high throughput phenotyping ; UAV/drone ; biomass estimation ; oats ; wheat ; yield prediction ; random forests ; satellite imagery ; Normalized Difference Vegetation Index (NDVI) ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-06-23
    Description: In the treatment of acute stroke, thrombolysis and thrombectomy have proven to be highly effective. Many patients have seen significant improvement after reperfusion therapy. This reprint aims to address current knowledge gaps and promote advancements in the use of thrombolysis and thrombectomy for the treatment of acute ischemic stroke.
    Keywords: ischemic stroke ; acute kidney injury ; contrast media ; endovascular treatment ; outcome ; hyperglycemia ; acute ischemic stroke ; large vessel occlusion ; mechanical thrombectomy ; stroke ; ischemia ; machine learning ; cerebral infarction ; biomarkers ; recanalization therapy ; reperfusion ; temperature ; time to admission ; prehospital delay ; prior stroke ; basilar artery ; brain ischemia ; intracranial atherosclerosis ; embolism ; infarction ; clinical symptoms ; intravenous thrombolysis ; endovascular therapy ; recanalization times ; clinical outcome ; hypoperfusion index ratio ; collateral circulation ; collateral scoring ; CTA ; CTP ; thrombolysis ; C-reactive protein ; white blood cell count ; prognosis ; hypoperfusion ; collaterality ; thrombectomy ; frailty ; elderly patients ; hospital frailty risk score ; acute stroke ; perfusion imaging ; CT perfusion ; MR perfusion ; RAPID ; fasting hyperglycemia ; fasting normoglycemia ; long-term outcome ; hemorrhagic transformation ; parenchymal hematoma ; GWAS ; single nucleotide variants ; anterior circulation ; bridging therapy ; recanalization ; stroke risk score ; COVID-19 ; Lithuania ; reperfusion therapies ; outcomes ; safety ; prehospital stroke diagnosis ; ultrasound ; brain perfusion ; SONAS® ; prehospital stroke scales ; point-of-care diagnostics ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Collectively, the studies presented in this reprint have used various validated biomechanical models or proposed novel methods of motion analysis to gain new insights into health-related problems and sports performance.
    Keywords: human ankle model ; product of exponentials formula ; anthropometry ; biomechanics ; coordinate measuring machines ; kinematics ; pose estimation ; position measurement ; biomedical informatics ; adolescent idiopathic scoliosis (AIS) ; surface electromyography (sEMG) ; paraspinal muscle ; Schroth exercise ; paraspinal muscle symmetry index (PMSI) ; negative heel shoes ; positive heel shoes ; gait ; pregnant women ; OpenSim ; IDEEA ; dentistry ; dental unit chair systems ; muscle fatigue ; muscle activation ; in vivo study ; femoral neck fracture ; internal fixation ; intramedullary fixation ; finite element analysis ; finite element ; proximal junctional failure ; spinal reconstruction ; thoracolumbar ; rollback ; ligament strain ; kinematic alignment ; mechanical alignment ; total knee arthroplasty ; markerless motion capture system ; gait analysis ; joint moment ; joint power ; running economy ; running style ; duty factor ; vertical oscillation ; stride frequency ; freezing of gait ; gait initiation ; Parkinson’s disease ; posture ; segmental centers of mass ; anthropometric measurement ; base of support ; hand exoskeleton design ; motion simulation ; rehabilitation ; intention recognition ; machine learning ; deep learning ; two-dimensional (2D) image ; marker-free video ; walking speed ; walking speed classification ; bi-LSTM ; redundant feature ; ratio-based body measurement ; optimal feature ; surface topography ; rasterstereographic back shape analysis ; normative data ; healthy adults ; posture analysis ; spine ; intelligent system ; classroom behavior ; motion identification ; shoulder activity ; sensor ; rehabilitation protocol ; proximal humerus fracture ; ground reaction force ; knee and hip ; lower limb ; normal walking ; musculoskeletal multibody dynamics ; spinal biomechanics ; spinal alignment ; spinal loading ; muscle force computation ; thoracolumbar spine ; biomechanical model ; electromyography ; inertial measurement units ; gait-phase prediction ; spinal cord injury (SCI) ; muscle fiber conduction velocity (MFCV) ; surface electromyography (EMG) ; EMG–force relation ; composite index ; characteristic points ; multivariable linear regression ; anterior cruciate ligament deficiency ; competitive swimming ; performance ; velocity fluctuations ; multibody simulation ; finite element method ; co-simulation ; sports ; degeneration ; intervertebral disc ; coupled ; embryo implantation ; human choriocarcinoma cell ; extracellular matrix ; stiffness ; durotaxis ; n/a ; thema EDItEUR::M Medicine and Nursing
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-29
    Description: This reprint is devoted to fundamental and applied research in the field of implementing the principles of the circular economy in energy transition, and it substantiates the need for its transformation in the context of sustainable development. Of particular interest are promising areas for the use of secondary energy resources in the economy to create closed production cycles. Specific technologies are considered, and their environmental and economic assessments of scenarios for the introduction of low-carbon technologies in the circular economy, the achievement of the Sustainable Development Goals through the introduction of a circular economy, and the development of regional cooperation are given. Particular attention is paid to the possibility of using eco-innovations for the national transition to decarbonization in the integrated European energy system, Green intellectual capital as a support for corporate environmental development, a sustainable value chain for the industrial consumption of biocomposites, and various options for programs to reduce CO2 emissions.
    Keywords: My Electricity ; photovoltaic (PV) ; LCA ; carbon dioxide emission ; grants ; Poland ; renewable energy ; renewable energy source (RES) ; solar photovoltaic ; self-consumption ; COVID-19 ; energy consumption ; sustainable industrial consumption ; sustainable value chain ; biocomposite ; sustainable packaging ; COVID-19 pandemic influence ; consumer behavior ; green marketing scale ; scale development ; scale validation ; internal marketing ; external marketing ; strategy ; tactics ; operations ; clean technology ; experience circular economy ; rational use ; resource consumption ; sharing model ; green intellectual capital ; green human capital ; green organizational capital ; green relational capital ; environmental development ; sustainable development ; ecology ; innovative development ; decarbonisation ; energy efficiency ; “green” transition ; Data Envelopment Analysis (DEA) ; factor analysis (FA) ; circular economy (CE) ; sustainability ; sustainable development indicators (SDI) ; European Union (EU) ; circular economy ; European green deal ; industrial symbiosis ; transformation ; green organization ; performance evaluation ; sustainable development goals ; resources ; value chain ; management functions ; sustainability-oriented innovation ; conceptual framework ; energy transition ; energy systems modelling ; islands ; life cycle assessment ; low-carbon heating ; responsible consumption ; green purchase ; purchase intention ; thema EDItEUR::K Economics, Finance, Business and Management
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-05-11
    Description: As Editor-in-Chief of the journal Diabetology, I am pleased to announce that the Special Issue “Diabetology: Feature Papers 2022” has now been published as a reprint. Diabetology (ISSN 2673-4540) is an international, peer-reviewed scientific open access journal that provides an advanced forum for studies related to the epidemiology, etiology, pathophysiology, pathogenesis, management, complications, and prevention of diabetes, including the molecular, biochemical, and physiological aspects of diabetes. In this Special Issue, “Feature Papers”, we aimed to publish outstanding contributions in the main fields covered by the journal, which will make a great contribution to the community. This reprint covers the whole spectrum of diabetology from risk screening, risk markers, pathways of disease in type 1 diabetes and insulin treatment, and management of the disease and comorbidities.
    Keywords: older people ; diabetes mellitus ; management ; insulin therapy ; frailty ; sarcopenia ; type 1 diabetes ; type 2 diabetes ; insulin ; beta cell preservation ; verapamil ; thioredoxin-interacting protein (TXNIP) ; Chronic Care Model ; self-management of type 2 diabetes ; chronic disease ; healthcare system of Pakistan ; patients’ quality of life ; obstructive sleep apnoea ; DM ; obesity ; inflammation ; polysomnography ; coronavirus disease 2019 ; COVID-19 ; severe acute respiratory syndrome coronavirus 2 ; SARS-CoV-2 ; diabetes ; diabetic ketoacidosis ; DKA ; hyperglycemia ; mortality ; innate immunity ; cytokine storm ; angiotensin-converting enzyme 2 ; pancreatic β-cell damage ; pediatrics ; HbA1c ; telemedicine ; continuous glucose monitoring ; prediabetes ; liver enzymes ; rhenium (V) compound ; triglycerides ; NAFLD ; fructose ; injection technique ; lipohypertrophy ; sodium glucose co-transporter 2 (SGLT2) inhibitors ; nocturia ; sodium intake ; key informant interviews ; prevention of type 2 diabetes ; National DPP ; DSMES ; telehealth ; provider experiences ; lipodystrophy ; clinical detection ; recommendations ; rehabilitation ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MJ Clinical & internal medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Today, a great variety of contraceptive techniques are available to women; this, coupled with improving the educational levels of female children and adults, is hastening a decline in fertility and consequently, population growth. With the advent of sustained fertility rates lower than replacement levels in many countries, including China and India, we are already witnessing major economic, social, environmental, and geopolitical consequences. Given this situation, today, the promotion of the use of contraception means improving health, not demography, placing emphasis on individuals and not just on methods alone; on the quality of services, and not simply on availability. Indeed, there is an increasing awareness that contraception can help women reduce health risks that are associated with reproductive events and specifically, with unwanted pregnancies. This means that, no matter how ideal a method may be from a purely scientific viewpoint, it must be submitted to the free, decision-making of well-informed women. To contribute to this new user-centric perspective, this reprint presents a series of articles in which technology is considered withing the broader concept of women’s health. Five articles deal with issues related to the users’ and providers’ perspectives; three discuss a modality that is receiving increasing attention, the so-called Long-Acting Reversible Contraception (LARC); and the last three contributions highlight the new advances in oral hormonal contraception.
    Keywords: long-acting reversible contraception ; intrauterine device ; LARC placement delays ; removal rates ; inner-city clinic ; emergency contraception ; contraceptive method ; levonorgestrel ; ulipristal acetate ; community pharmacies ; health services administration ; combined hormonal contraception ; estetrol ; metabolism ; SHBG ; cycle control ; hemostasis ; emergency contraception pills ; morning-after pill ; sexual behavior ; students ; contraceptive knowledge ; contraceptive attitude ; contraceptive experience ; hormonal contraception ; long-acting reversible contraceptive ; quality of life ; sexual arousal and desire ; short-acting reversible contraceptive ; Nexplanon ; subcutaneous device ; etonogestrel implant ; alternative insertion ; implantation site ; contraceptive implant ; norethisterone acetate ; POP ; progesterone-only pills ; vaginal bleeding ; vaginal spotting ; contraception ; sexual habits ; women ; long-acting reversible contraceptives ; short-acting reversible contraceptives ; counselling ; COVID-19 ; LARC ; reproductive health ; sexual health ; oral contraceptives ; bleeding pattern ; ethinylestradiol ; estradiol ; drospirenone ; norethindrone acetate ; nomegestrol acetate ; dienogest ; abnormal uterine bleeding ; amenorrhea ; dysmenorrhea ; levonorgestrel-releasing intrauterine system ; Progestasert ; n/a
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer and masked autoencoder) are dramatically changing the field of data-driven algorithms. More importantly, deep learning models are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and other sciences. For example, recent advances in deep representation learning are allowing us to learn about protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market). This collection gathers the advanced studies of novel deep learning algorithms/frameworks and their applications in real-world scenarios. The topics cover, but are not limited to, supervised learning, explainable deep learning, finance, healthcare, and sciences.
    Keywords: Convolutional Neural Network (CNN) ; pooling ; deep learning ; computer vision ; image analysis ; benchmark ; lithium-ion battery ; prognostics ; long short-term memory ; ARIMA ; reinforcement learning ; generative adversarial networks ; deep-learning ; crop/weed classification ; transfer learning ; feature extraction ; natural language processing ; image-text matching ; cheapfakes ; misinformation ; transformer encoder ; RoGPT2 ; control tokens ; summarization ; text generation ; human evaluation ; tricalcium silicate ; analytical model ; ion activity ; dissolution kinetics ; deep forest ; subsurface fluid flow ; Fourier neural operator ; small-shape data ; finite element method ; convolutional neural network ; sensitivity analysis ; source code comments ; classification ; machine learning techniques ; ANN flow law ; constitutive behavior ; radial return algorithm ; numerical implementation ; VUHARD ; GrC15 ; Abaqus Explicit ; defect detection ; surface defect detection ; defect detection for X-ray images ; defect recognition ; photoacoustic imaging ; image processing ; simulation ; reconstruction ; residual echo suppression ; acoustic echo cancellation ; speech enhancement ; graph neural network ; variational autoencoder ; nearest neighbours ; acute myeloid leukemia ; risk factors ; average treatment effect ; uplift modelling ; machine learning ; benzene ; ANOVA ; Shapley values ; self-explaining neural networks ; generalised additive models ; interpretability ; Siamese networks ; synthetic data ; cyclic learning ; unsupervised learning ; data augmentation ; single cell cultivation ; bioimage analysis ; finite element simulation ; plausibility checks ; convolutional neural networks ; storm surge ; hurricane ; forecasting ; CNN ; LSTM ; physics informed neural network ; dynamic force identification ; duffing’s equation ; spring mass damper system ; non-linear oscillators ; massive MIMO ; hybrid beamforming ; compressive measurement matrix ; long short-term memory network ; capsule network ; routing algorithm ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: In this Special Issue, we aim to represent the vibrant state of protein structure studies at the end of 2021. Recent decades have brought significant changes to the protein structure research field. Thanks to the genome projects and advances in structure determination methods, the number of solved protein structures has increased significantly. Protein structure research is experiencing a new renaissance, and in 2020 the number of deposited structures in the PDB database reached a new record. An assortment of many new frontiers are presented in this collection. A single Special Issue cannot give a comprehensive overview of a large field such as proteins science, but we aim to give a broad overview of current research.
    Keywords: configurational entropy ; force fields ; intrinsically disordered proteins ; protein folding ; NMR ; high hydrostatic pressure ; thermodynamic stability ; α-helical bundle ; Li-Fraumeni syndrome ; hereditary breast cancer ; germline TP53 missense variants ; quantitative prediction model ; protein conformation ; protein–protein interactions ; protein–protein binding ; protein–protein complex ; coarse-grained modeling ; multiscale modeling ; UFM1 ; UBA5 ; UFC1 ; protein-protein interactions ; complex structure ; oxidative stress ; Nrf2 ; Keap1 ; nuclear magnetic resonance spectroscopy ; hydrogen/deuterium exchange ; mass spectrometry ; circular dichroism ; intrinsically disordered ; bifidobacteria ; fucosidases ; glycosyl hydrolases ; conserved domains ; human milk ; analytical ultracentrifugation ; CO2 concentrating mechanism ; diffusion-ordered NMR spectroscopy ; electrospray ionization mass spectrometry ; homotetramer ; manganese ; metalloprotein ; photosynthesis ; small-angle X-ray scattering ; C1q ; calcium binding proteins ; genetic variation ; otoconia ; otolin-1 ; OTOL1 ; site-directed mutagenesis ; thermal shift assay ; B.1.1.7 ; B.1.617.2 ; COVID-19 ; E484Q ; T478K and L452R mutation ; N501Y mutation ; spike protein ; tetrabromobisphenol A ; tetrabromobisphenol S ; erythrocyte membrane ; retardants ; erythrocytes ; protein–ligand interactions ; protein dynamics ; FK506-binding protein ; FKBP12 ; FKBP51 ; oxidative folding ; glutathionylation ; nitrosylation ; cysteine reactivity ; ribosomal exit tunnel ; transient complex ; glutathione ; phosphorylation ; transmembrane proteins ; saturation mutagenesis ; deep sequencing ; residue packing ; deep learning ; convolutional neural network ; bidirectional long-short term memory ; protein ; prediction ; contact ; distance ; alphafold ; ProSPr ; CASP ; dataset ; retrainable ; mutual synergetic folding ; solvent accessibility of peptide bonds ; inter-subunit interaction ; solvent-accessible surface area ; Shannon information entropy ; amino acid composition ; glucose ; GlcNAc ; galactose ; GalNAc ; mannose ; xylose ; fucose ; Neu5Ac ; glucuronate ; iduronate ; tetrahydropyran ; entropy ; free energy ; free energy landscape ; energy-dependent protein folding ; co-translational protein folding ; molecular chaperones ; physical model of protein folding ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint focuses on data-driven software solutions and their impact on research and development at the academic, industry, business, and government levels to exploit the hidden knowledge and big data that can be offered to cities and citizens in the future. Data-driven software solutions are different from “traditional” software development projects, as the focus of the main development core is on managing the data (e.g., data store and data quality) and designing behavioral models with the aid of artificial intelligence and machine learning techniques. To this end, new life cycles, algorithms, methods, processes, and tools are required. This reprint is centered on the recent trends and advancements in the field of engineering data-intensive software solutions to address the challenges in developing, testing, and maintaining such data-driven systems, with a focus on the application of data-driven solutions to real-life problems and techniques and algorithms addressing the different challenges of data-driven software engineering.
    Keywords: COVID-19 ; SARS-CoV-2 ; data analytics ; schools’ impact ; Google mobility impact ; feature selection ; ontology ; text classification ; machine-learning ; SARS-COV-2 ; Bayesian regression ; changepoint detection ; European football championship ; big data ; delay-tolerant network (DTN) ; multi-attribute decision making ; public transport ; energy consumption ; software development process ; operations ; software engineering ; information system development ; team structure ; Software Library Recommendation ; graph filters ; dependency graphs ; link prediction ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-02
    Description: Although many educational researchers were pioneers in the integration of technology into teaching and learning prior to 2000, institutions started extensively adopting technology in their courses around this period. However, the adoption process was slow and mainly followed the traditional mode of teaching in the formal university learning environment. The COVID-19 pandemic’s disruption “forced” everyone to use technology for teaching and learning purposes, supporting synchronous and/or asynchronous teaching and learning processes. This book aims not only to present successful practice examples from before or during the COVID-19 pandemic, but also to provide useful information to university teachers, assisting them in further understanding the higher education context, demands and challenges of digital education. Including evidence from the current higher education landscape from all over the world and discussing various frameworks allows institutions and policymakers to take decisions about the future digital education transformation, while teachers and educational researchers can find examples of how various digital learning tools (i.e., virtual simulations and e-portfolios) are integrated into teaching and learning processes in various environment (i.e., online, and blended learning). Considering experiences prior to the COVID-19 pandemic alongside the opportunities and challenges brought about by the pandemic, this book can support the higher education sector in considering curriculum reformations and introducing innovative teaching and learning approaches to meet the Industrial 4.0 revolution.
    Keywords: standardized test ; Saber Pro ; student characteristics ; mean score differences ; correlations between competencies ; academic performance ; improvement ; e-learning ; technology acceptance ; learning management system ; behavioral intention e-learning ; behavioral intention ; digital learning ecology ; self-directed learning ; learning technology ; digital resilience ; higher education ; HeXie ; bioscience ; home labs ; COVID-19 ; practical skills development ; learning communities ; gamification ; flipped classroom ; virtual labs ; remote lab ; virtual lab ; enquiry-based learning ; inquisitive learning ; interactive learning ; digital interruptions ; online learning ; mobile learning ; blended learning ; career planning ; electronic learning ; employability ; Technological Pedagogical Content Knowledge ; science education ; student teachers ; self-report measure ; ubiquitous learning ; learning theories ; digital transformation ; educational environment ; eco-environment ; educational design ; process model ; capabilities ; Labour 4.0 ; teaching ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JN Education
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This Special Issue is dedicated to Professor Reinhard Schlickeiser on the occasion of his 70th birthday. Reinhard Schlickeiser’s internationally well-recognized work, comprising several hundred research articles and the comprehensive monograph “Cosmic Ray Astrophysics,” has had a lasting influence in several areas of astrophysics. He has also inspired a large number of junior researchers, many of whom are now pursuing successful academic careers. Over the last few decades, he has motivated and established many fruitful collaborations that have triggered new ideas and provided new insights into various plasma and astrophysical topics. This Special Issue aims to present original papers by Reinhard Schlickeiser’s collaborators that document the breadth of his scientific accomplishments and the subsequent studies that he has directly or indirectly influenced as a collaborator or as a teacher. This Special Issue may serve as inspiration for others to follow in his path and to accept the challenges awaiting them in the many areas of astrophysics that have been, for many years, Reinhard’s turf.
    Keywords: Langmuir waves ; Landau damping ; particle wave interactions ; space physics ; plasma physics ; n/a ; nucleus-acoustic waves ; nonlinear waves ; nonplanar geometries ; non-thermal radiation mechanisms ; relativistic jets ; relativistic processes ; BL Lacertae objects ; active galaxies ; blazars ; diffusive shock acceleration ; radiative transport ; gamma-rays ; solar wind ; plasmas ; instabilities ; waves ; cosmic rays ; galactic anti-matter ; solar modulation ; solar cycle ; dissipative solitary waves ; magnetized plasma ; superthermal trapped electrons ; kappa distribution ; Schamel equation ; oblique propagation of electrostatic plasma waves ; suprathermals ; cosmic-ray transport ; turbulence ; plasma waves ; particle-in-cell simulations ; automated driving ; data-driven modeling ; deep learning ; scene prediction ; trajectory prediction ; Alfvén waves ; wave–wave interactions ; magnetic loops ; solar corona ; particle transport ; numerical methods ; modelling ; cosmic-ray diffusion ; active galactic nuclei (AGN) ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Cybersecurity models include provisions for legitimate user and agent authentication, as well as algorithms for detecting external threats, such as intruders and malicious software. In particular, we can define a continuum of cybersecurity measures ranging from user identification to risk-based and multilevel authentication, complex application and network monitoring, and anomaly detection. We refer to this as the “anomaly detection continuum”. Machine learning and other artificial intelligence technologies can provide powerful tools for addressing such issues, but the robustness of the obtained models is often ignored or underestimated. On the one hand, AI-based algorithms can be replicated by malicious opponents, and attacks can be devised so that they will not be detected (evasion attacks). On the other hand, data and system contexts can be modified by attackers to influence the countermeasures obtained from machine learning and render them ineffective (active data poisoning). This Special Issue presents ten papers that can be grouped under five main topics: (1) Cyber–Physical Systems (CPSs), (2) Intrusion Detection, (3) Malware Analysis, (4) Access Control, and (5) Threat intelligence.AI is increasingly being used in cybersecurity, with three main directions of current research: (1) new areas of cybersecurity are being addressed, such as CPS security and threat intelligence; (2) more stable and consistent results are being presented, sometimes with surprising accuracy and effectiveness; and (3) the presence of an AI-aware adversary is recognized and analyzed, producing more robust solutions.
    Keywords: Internet of Things ; cybersecurity ; cyber threats ; malware detection ; machine learning ; network traffic ; cooperative intelligent transportation systems (cITSs) ; IDS ; vehicular ad-hoc networks (VANET) ; adaptive model ; deep belief network (DBN) ; NIDS ; deep learning ; false negative rate ; artificial neural network ; MITRE ATT&CK Matrix ; techniques classification ; BERT-based multi-labeling ; formal ontology ; risk identification ; vulnerability ; portable executable malware ; tree-based ensemble ; performance comparison ; statistical significance test ; adversarial examples ; face recognition ; mask matrix ; targeted attack ; non-targeted attack ; anomaly detection ; attack detection ; cyber-physical system ; datasets ; evaluation metrics ; biometric cryptosystem ; iris identification ; error-correcting codes ; intrusion detection ; smart grid ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This reprint, entitled “Process Control and Smart Manufacturing for Industry 4.0”, contains the extended papers from the Series of annual IFSA conferences on Automation, Robotics and Communications for Industry 4.0/5.0 (ARCI) on the following topics: Process Automation, Process Control and Monitoring, Design Principles in Industry 4.0, Smart Manufacturing and Technologies, Smart Factories, Machine Learning and Artificial Intelligence in Manufacturing. The reprint contains 13 chapters written by 54 ARCI conference participants from seven countries: China, Croatia, Denmark, Germany, Italy, Poland and Romania. This reprint will inform readers of cutting-edge developments in the field and provide effective starting points and a road map for further research and development. All chapters follow the same structure: firstly, an introduction to the specific topic under study; secondly, a description of the field, including sensing or/and measuring applications. Each chapter ends with a curated list of references, including books, journals, conference proceedings and websites. “Process Control and Smart Manufacturing for Industry 4.0” is intended for researchers and scientists from academia and industry, as well as for postgraduate students.
    Keywords: steel alloys ; resistance spot welding ; RSW ; electrode wear ; electrode tip-dressing ; process monitoring ; mushrooming ; plateau forming ; quality control ; COVID-19 ; FDM ; 3D printing ; injection molding ; personal protection ; rapid prototyping ; protective face shields ; mechatronics line ; visual servoing system ; wheeled mobile robot ; industrial robotic manipulator ; Industry 4.0 ; NDT ; magnetic particle inspection ; optimization ; condition monitoring ; vibration ; acoustic emission ; drive train ; data fusion ; machine learning ; product morphology ; core data model ; phase rule filter ; phase private data model ; storage system ; forklift AGV ; deep learning ; semantic segmentation ; H-Swish ; community transformation ; community innovation governance ; ternary space ; coupling and coordination analysis ; lean manufacturing ; lean principles ; pull principle ; production control mechanisms ; production processes ; lean implementation ; batch process ; partial least squares ; multi-phase ; multi-mode ; master production scheduling ; make-to-order ; mathematical programming ; agent-based ; overtime ; earliness ; tardiness ; equipment selection decision ; business compass ; energy consumption ; processing time ; beetle antennae search algorithm ; sustainable blank dimension design ; energy-saving ; low-carbon ; grey wolf algorithm ; gas–solid ; cyclone ; separator ; gas dynamics ; erosion ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: This Special Issue is intended to lay the foundation of AI applications focusing on oral health, including general dentistry, periodontology, implantology, oral surgery, oral radiology, orthodontics, and prosthodontics, among others.
    Keywords: machine learning ; artificial intelligence ; malocclusion ; diagnostic imaging ; active learning ; maxillary sinusitis ; convolutional neural network ; deep learning ; segmentation ; oral microbiota ; LEfSe ; PCoA ; alloprevotella ; prevotella ; core microbiota ; artificial neural networks ; oral cancer diagnosis ; oral cancer prediction ; pit and fissure sealants ; caries assessment ; visual examination ; clinical evaluation ; convolutional neural networks ; transfer learning ; deep learning network ; YOLOv4 ; mandibular third molar ; inferior alveolar nerve ; contact relationship ; panoramic radiograph ; deep learning methods ; caries diagnosis ; dental panoramic images ; radiography ; Fourier transform infrared spectroscopy ; FTIR imaging ; spectral biomarker ; multivariate analysis ; discriminant model ; oral squamous cell carcinoma ; oral epithelial dysplasia ; oral potentially malignant disorder ; risk stratification ; early oral cancer detection ; dentigerous cysts ; histopathology images ; image classification ; odontogenic keratocysts ; radicular cysts ; AI ; screening ; diagnosis ; dentistry ; ultrasonography ; tongue ; algorithm ; dysphagia ; impacted ; tooth ; detection ; neural networks ; proximal caries ; training strategy ; small dataset ; periapical radiograph ; X-ray ; tooth extraction ; oroantral fistula ; operative planning ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The fast development of biosensors with high sensitivity through new functional materials introduced, or simplified the procedure in measurements, which is definitely important. However, more attentions should be paid for real applications, increasing tolerances against various matrix that potentially influence the performance of biosensors. This reprint focuses on the biosensors which were widely used in various fields after some problems were circumstanced, analytical methods development for containments in environments and foods, and biomarkers/hazardous substances in cells based on nanozyme or other nanoparticles, combined with antibodies, nucleic acids, aptamers or nanobodies, including enough sensitivity and satisfactory accuracy, maintaining enzyme activity at varied harsh environments.
    Keywords: autoinducer ; co-cultivation bioassay ; food safety ; foodborne pathogens ; N-acyl homoserine lactones ; plasmid-based biosensor ; Yersinia enterocolitica ; immunoassay ; antibody ; dibutyl phthalate ; scopoletin ; amplex red ; silver nanoparticles ; extracellular vesicles ; Fe3O4@TiO2 ; PD-L1 ; aptasensor ; chemiluminescence ; lung cancer ; non-invasive diagnosis ; bound-free phase ; micro/nanoparticles ; point-of-care ; centrifugal microfluidics ; inflammation ; reagent storage ; DNA ; biosensor ; electrochemiluminescence ; sensitivity ; amplification strategy ; COVID-19 ; SARS-CoV-2 ; spike glycoprotein ; peptide ; all-dielectric metasurface ; fluorescence sensor ; sandwich assay ; rapid antigen test ; omicron variant ; deoxynivalenol ; gold nanoparticles ; PAMAM ; multi-enzyme probes ; aptamer ; MnO2 ; sulfadiazine ; ALI/ARDS ; biosensors ; PR3 ; human NE ; MMP-2 ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This reprint collected a set of papers where our section Editorial Board Members discuss key topics that typify the very best insightful and influential original articles or reviews in the “Communications” field. We expect these papers to be widely read and highly influential within the field.
    Keywords: network security ; double defense ; zero trust ; situation awareness ; immunology ; blind modulation classification ; orthogonal frequency division multiplexing ; higher-order cumulant and cyclic cumulant ; maximum-likelihood ; maximum a posteriori ; deep learning ; convolutional neural networks ; probability of correct classification ; testbed implementation ; drone ; UAV ; RF methods ; software-defined radio ; detection system ; defense system ; TSN ; Industry 4.0 ; smart distributed measurement systems ; IIoT ; IoT ; Ethernet ; Wi-Fi ; bit error rate ; fading channels ; Internet of things ; LoRa ; performance evaluation ; Named Data Networking ; information centric networking ; caching ; edge networks ; 6G ; IEEE 802.11be ; multilink operation ; channel access ; backoff ; coexistence ; Bluetooth ; wireless passive human sensing ; wireless sensor networks ; cyber-attacks ; intrusion-detection system ; MCDM ; q-rung orthopair fuzzy sets ; q-ROFWG ; 5G ; 5G-AKA ; authentication ; blockchain ; BAN logic ; Scyther ; radio channel ; path loss ; signal strength ; receivers ; transmitters ; wireless communication ; computational modeling ; path planning ; electromagnetic propagation ; loss measurement ; propagation loss ; reconfigurable antenna ; metasurface ; varactor diode ; beam-scanning ; high gain ; actor–critic learning ; energy-efficiency ; O-RAN ; RAN optimization ; low power wide-area networks ; large-scale LoRa networks ; single-channel LoRa gateways ; multi-objective ; quantum computing ; quantum optimization algorithms ; quantum routing optimization ; 6G communication networks ; SNR estimation ; optical wireless communications ; intensity modulation ; digital signature ; elliptic curve cryptography ; key exchange ; platoons ; Sybil attack ; 3D indoor localization ; location-based services ; Internet of Things ; computer vision ; biomedical imaging ; biometrics ; remote sensing ; cybersecurity ; natural language processing ; audio and speech processing ; control system and robotics ; information system ; food ; agriculture ; chemistry ; characteristic mode ; parasitic loading ; slit loading ; low-profile ; wearable antenna ; platoon ; traffic congestion ; collision avoidance ; CACC ; merge maneuver ; join maneuver ; lane change ; clustering ; information element ; MAC de-randomization ; OPTICS ; probe request ; WiFi-enabled device detection ; wireless sensing device ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue of Life, entitled "Plants as a Promising Biofactory for Bioactive Compounds," showcases the latest research that explores the utilization of plant biofactories for the production of compounds with multiple biological effects, including antioxidant, antitumor, antidiabetic, anti-inflammatory, antimicrobial, anti-Alzheimer, antihemolytic, neuroprotective, and pesticide activities.
    Keywords: Arabidopsis ; hairy roots ; lipase ; protein production ; phenolic acid ; flavonoids ; DPPH radical scavenging activity ; anti-inflammatory activity ; maximum possible analgesia ; beverage preservative ; natural essential oils ; antimicrobial activity ; Lithospermum erythrorhizon ; acetylshikonin ; shikonin ; BAHD ; LeSAT1 ; hairy root ; Agathophora alopecuroides ; antidiabetic ; LC-HRMS/MS ; molecular docking ; waste ; by-product ; composition ; bioactive compounds ; health benefits ; blueberry ; Vaccinium myrtillus ; Vaccinium arctostaphylos ; phenolic compounds ; antioxidant activity ; neuroprotective activity ; naringin ; naringenin ; polyphenols ; neurological disease ; dietary interventions ; Cinnamomum zeylanicum ; polyphenol ; cinnamon oil ; LC-HRMS ; GCMS ; enzyme inhibition ; arbuscular mycorrhizal fungi ; commercial herb cultivation ; gene expression ; rosemary ; terpene synthase ; volatile production ; coronavirus ; COVID-19 ; antivirals ; vaccines ; plant production ; molecular farming ; recombinant proteins ; secondary metabolites ; ABTS ; DPPH ; early bud burst ; English oak ; half-sib ; late bud burst ; pedunculate oak ; total flavonoid content ; total phenol content ; natural products ; acetone:butanol:ethanol ; solvent extraction ; process design and economics ; Caenorhabditis elegans ; Meloidogyne incognita ; Zivzik pomegranate ; Punica granatum ; antioxidant ; α-glycosidase ; acetylcholinesterase ; carbonic anhydrase ; LC-MS/MS analysis ; antitumor activity ; cancer ; ethnobotany ; lymphoma ; medicinal plants ; natural extracts ; Mexican plants ; Andrographis ; antioxidants ; GS-MS analysis ; β-D-glucans ; cereals ; biosynthesis ; genes ; breeding ; environment ; functions ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This reprint focuses on fish otoliths, as one of the most useful and important biological structures for fishery scientists and managers around the world. Collected papers cover several different research areas, from the otolith macro- to the microstructure and microchemistry, analyzing different types of otoliths and investigating various freshwater and marine species in their larval, juvenile and adult stages. Special attention is given to different approaches in otolith research and to many practical applications of such studies. The obtained data served to determine the age and growth of individual fish; to study habitat interactions, migration patterns, or habitats that the fish live in; to detect water temperatures or the presence of certain pollutants in the environment; and to reveal all other vital information about the life history of the fish.
    Keywords: sagittal otolith ; somatic growth ; long-lived fishes ; ontogeny ; teleost anatomy ; development ; fish morphology ; Fourier ; marking ; alizarin complexone ; hard tissue ; fin ray ; otolith ; scale ; silver carp (Hypophthalmichthys molitrix) ; age ; growth ; otoliths ; morphometry ; Sphyraena sphyraena ; fish age determination ; Greenland halibut ; deep learning ; dataset shift ; domain adaptation ; red snapper ; wavelet ; genetic diversity ; population structure ; asteriscus ; side effect ; otolith shape ; geographical effect ; temperature effect ; pH ; brook trout ; fish kill ; anadromy ; otolith microchemistry ; crucian carp ; strontium ; marking efficiency ; restocking ; time delay ; fish otoliths ; CNN ; age determination ; web tool ; Kokanee ; homing ; stocking ; Anguilla anguilla ; fish biology ; ecosystem variability ; minho river ; stock assessment ; Coilia nasus ; river estuary ; Yellow Sea ; elemental signature ; stable isotopic signature ; stock spatial structure ; atherinids ; trade-off ; daily growth ; spawning ; European hake ; length–frequency distribution ; sex-ratio ; hydro-morpho-sedimentary characteristics ; marginal increment analysis ; band deposition ; Thunnus thynnus ; growth curves ; edge analysis ; growth performance index ; quartile of marginal growth band method ; k-fold cross-validation ; back-calculation ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: The global financial crisis plunged the global economy into a great recession. Many central banks responded with unconventional monetary policies such as quantitative easing, negative policy rates, and forward guidance to calm down financial markets. The COVID-19 pandemic led the global economy, financial markets, and central banks to face even more severe problems. Central banks set up further asset purchase programmes to complement existing unconventional monetary policy measures that have already been in place to help the economy to absorb the COVID-19 shock. The new crisis has increased the importance of preserving financial stability through the international cooperation of central banks around the globe. Managing the expectations of market participants plays a crucial role in the context of financial stability. Therefore, the aim of this Special Issue is to disseminate important empirical and theoretical research questions concerning the connection between monetary policy and international financial markets and to stimulate discussion among academics and policymakers. A special focus is devoted to emerging and developing economies. The Special Issue covers several different articles on a variety of topics from the fields of monetary policy and international financial markets. The contributions address research questions on exchange rates, cryptocurrencies, stock markets, the connection between money supply and inflation after the COVID-19 pandemic, the role of commodity price shocks for banking system stability in developing countries, global liquidity effects, the twin deficit, and the Taylor rule.
    Keywords: exchange rates ; cryptocurrencies ; inflation ; COVID-19 ; commodity prices ; emerging and developing countries ; stock markets ; banking ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Given the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a planetary scale. Agriculture 4.0 involves a large variety of mobile apps, web applications, Internet of Things (IoT) devices and platforms, drones, robots, and smart machinery for precision agriculture. The expansion of cloud technologies, artificial intelligence (AI), machine learning (ML), deep learning (DL), and big data collection are setting the stage for Agriculture 5.0. Agriculture science and natural sciences are further promoting this trend with the development of leading-edge scientific models and platforms, including stochastic, process-based, and data-driven machine learning modeling. This Special Issue covers the most recent and up-to-date progress in all aspects of internet and computer software applications in agriculture, focusing on the development of web applications and mobile apps, smart IoT devices and platforms, AI, ML and DL solutions in precision agriculture for detection, recognition, classification, monitoring, cultivation, harvesting, and marketing; development of cloud technologies for smart agriculture; computer and machine vision methods and applications for drones and smart machinery, and sensors for field operations; diagnostics and data collection; big data science; scientific process-based and stochastic modeling; and machine learning modeling for agriculture, agroecosystems and natural ecosystems. The research in this Special Issue will contribute to the promotion of modern agriculture practices in the current climate and in the future.
    Keywords: grape varieties identification ; Support Vector Machine (SVM) ; Convolutional Neural Network (CNN) ; deep feature fusion ; Canonical Correlation Analysis (CCA) ; smart machinery ; digital agriculture ; Chinese agricultural diseases and pests ; named entity recognition ; adversarial training ; semantic enhancement ; technology innovation ; food processing ; transition pathways ; sustainable food systems ; transformation ; smart farming ; IoT ; WSN ; containerization ; multi-agent ; neural network ; LSTM ; leisure agricultural park ; traveler group ; COVID-19 pandemic ; fuzzy collaborative intelligence ; machine vision ; maize seeds ; classification ; deep learning ; convolutional neural network ; decision support systems ; agricultural water management ; water security ; data-driven modeling ; conceptual resilience model ; input uncertainty ; climate extreme ; process-based modeling ; vehicle routing problem ; fresh agricultural products ; split delivery ; NSGA-II algorithm ; farm management information system ; farmers’ information needs assessment ; soft system methodology ; smallholder farmers ; conceptual model ; Indonesian chili farmers ; residual block ; attention mechanism ; grape leaf disease ; aquatic products price forecast ; VMD ; IBES ; hybrid model ; precision agriculture ; sensor network ; semi-literate farmers ; interactive interface ; User Interface (UI) ; Android apps ; machine learning ; regression algorithms ; web application ; early prediction of crop yield ; grape detection ; self-attention ; buffalo breeds ; Neural Networks ; Self Activated CNN ; DeepLabv3+ ; semantic segmentation ; picking point identification ; e-commerce interest linkage ; participation willingness and behaviors ; government policies ; farmers’ cognition ; evolutionary game model ; structural equation model ; object detection ; YOLOv7 ; hemp duck count ; smart agriculture ; LoRaWAN ; water status ; supply chain ; horticulture ; logistics ; operations ; planning framework ; decision support ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The reprint provides the most relevant and state-of-the-art in the field, including recent developments in the production of natural compounds from various bioresources, and their formulations as bioactives. This reprint also covered the engineered approaches for enhanced biological properties and their potential applications. Identification of novel compounds and bioprocess tools to improve the quantity and quality of bioactive compounds and their formulations are exclusively covered in this reprint.
    Keywords: anti-solvent ; enzymatic saccharification ; EMIM-Ac ; ethanol ; ionic liquid ; lignocellulosic biomass ; recycling ; agro-industry ; microencapsulation ; bioactive compounds ; in vitro digestion ; yogurt ; cannabis ; cannabinoids ; postharvest ; drying ; curing ; storage ; biosynthesis ; pre-treatments ; sorption isotherm ; Raphanus sativus L. ; recombinant IFN-α2a ; apoptosis ; antiviral and antitumor activity ; Japanese knotweed rhizome bark ; SARS-CoV-2 ; COVID-19 ; virus neutralization test ; nano-formulation ; nutraceuticals ; prebiotics ; nanofabricated delivery system ; liposomes ; nano-emulsions ; Abelmoschus manihot ; neurodegenerative disease ; oxidative stress ; proliferation ; inflammation ; nucleotide excision repair ; Actinosynnema pretiosum ; ansamitocin P-3 ; ssgA ; AdpA ; morphological differentiation ; pomegranate ; pomace ; extraction ; biological activity ; functional beverages ; sensory quality ; vitamins ; formulation ; homogeneous systems ; hydrophile–lipophile balance ; Emblica officinalis ; phytochemicals ; hyperlipidemia ; pharmacology ; nanoformulation ; Prunus mume ; vasorelaxant ; hypertension ; angiotensin receptor blockers ; agro-waste ; valorization ; value-added bioproducts ; micro/nano encapsulation ; agri-food-pharma applications ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: In total, this Special Issue includes 11 papers. Firstly, Qi et al. conducted research on the large-scale non-uniform parallel solution of the two-dimensional Saint-Venant equations for flood behavior modeling. Zhang et al. proposed an efficient deep learning-based mineral identification method. Subsequently, Huang et al. proposed a named entity recognition method for geological news based on BERT model. Yang et al. proposed an automatic landslide identification method to solve the problem of the time-consuming nature and low efficiency of traditional landslide identification methods. Du et al. analyzed the potential of unsupervised machine learning methods for submarine landslide prediction. Wang et al. performed parallel computations on the inversion algorithm of the two-dimensional ZTEM. Xu et al. used the sliding window method and gray relational analysis to extract features from multi-source real-time monitoring data of landslides. Furthermore, Cao et al. proposed a new method called dual encoder transform (DualET) for the short-term prediction of photovoltaic power. Hao et al. conducted a series of parallel optimizations and large-scale parallel simulations on the high-resolution ocean model. Wang et al. proposed a time series prediction model for landslide displacements using mean-based low-rank autoregressive tensor completion. Finally, Yang et al. developed a measure of site-level gross primary productivity (GPP) using the GeoMAN model.
    Keywords: Saint-Venant equations ; finite difference method ; parallel computing ; heterogeneous computing ; deep learning ; image enhancement ; mineral identification ; convolutional neural networks ; BERT ; named entity recognition ; geological news ; CRF ; semantic segmentation ; PSPNet ; landslide ; submarine landslide ; machine learning ; hazard susceptibility ; spatial distribution ; ZTEM ; 2D forward modeling ; inversion ; parallel algorithm ; tipper ; disaster precursor identification ; early warning ; association rule mining ; particle swarm optimization ; k-means clustering ; Apriori algorithm ; gray relation analysis ; transformer ; photovoltaic power forecasting ; satellite images ; LICOM ; meteorological model ; parallel optimization ; time series ; missing data ; tensor completion ; autoregressive norm ; displacement prediction ; GeoMAN model ; gross primary productivity ; attention mechanism ; interdisciplinary ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: Antibiotic resistance represents one of the most important challenges in the world and involves humans, animals and the environment.For this reason, it is increasingly important to focus our attention on the present scenarios and the future prospects relating to this problem. The One Health approach helps us and can provide the tools to consider the problem from different points of view, also providing alternative solutions to the use of the antibiotic itself.
    Keywords: Enterococcus ; vancomycin resistance ; systematic review ; meta-analysis ; Nigeria ; climate change ; One Health ; Candida auris ; COVID 19 ; emerging pathogens ; antimicrobial resistance ; Staphylococcus aureus ; rabbits ; pathotype ; antibiotic resistance profiles ; spa type ; Italy ; Escherichia coli ; AmpC β-lactamases ; CMY-2 type ; ISEcp1 ; chickens ; wild birds ; livestock ; Greece ; one health ; antibiotic resistance ; human ; animal ; environment ; text data mining ; natural language processing ; common language ; AMR ; AR ; antimicrobial use ; COVID-19 ; SARS-CoV-2 ; farm animals ; blaCTX-M ; Chile ; domestic animals ; E. coli ; extended-spectrum beta-lactamases ; wildlife ; Salmonella enterica ; pigs ; Suriname ; whole genome sequencing ; awareness ; antimicrobial stewardship ; layer poultry farms ; surveillance ; Middle East ; One Heath ; foodborne pathogens ; Campylobacter spp. ; Salmonella spp. ; strategic action plan on antibiotic resistance ; Swedish stakeholder perceptions ; qualitative study ; Enteritidis ; multidrug-resistant ; Derby ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSG Microbiology (non-medical)
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This second Special Issue was compiled because of the interest demonstrated by the great success of the first Special Issue devoted to "Sensor Systems for Gesture Recognition".We believe this reprint acts as a meaningful window towards "Gesture Recognition" and the related sensors allowing the gathering of necessary data.
    Keywords: abnormal gait behavior ; OpenPose ; machine learning ; XGBoost ; random forest ; horse locomotion ; training effect ; inertial measurement units ; sports technology ; football ; motion analysis ; IMU ; trajectory reconstruction ; human-computer interactive ; data glove ; virtual hand ; emotion driven ; test ; visual tracking ; Siamese tracker ; tracking drift ; background clutter ; deep learning ; surgical skills assessment ; computer vision ; surgical education ; biomedical engineering ; multi-modal ; human activity recognition ; markerless ; RGB-D ; general movements ; infant movement analysis ; movement disorders ; surface electromyography ; forearm amputee ; hand posture ; visual feedback training ; pattern recognition ; artificial neural network ; hand gesture recognition ; electromyography ; inertial measurement unit ; reinforcement learning ; deep Q-network ; extreme learning machine ; force myography ; grasshopper optimization algorithm ; k-tournament selection ; frequency emphasis ; ensemble learning ; sign language recognition ; gloss prediction ; transformer ; pose-based approach ; pose estimation ; emotion judgment system ; adaptive interactive game ; set of optimal signal features ; sensor ; MARG ; MIMU ; orientation estimation ; sensor fusion algorithm ; dataset ; orientation algorithm benchmarking ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint includes 14 articles in Biomedical Data Science in honor of Professor Philip Bourne. Contributed by world-renowned experts, these articles cover a broad range of topics in machine learning, biophysics, bioinformatics, and systems biology.
    Keywords: structure-based drug discovery ; ligand binding sites ; deep learning ; graph neural network ; CRISPR/Cas9 ; genome editing ; machine learning ; SHAP values ; binding energy ; off-targets ; drug discovery ; retrosynthesis ; reaction template ; recurrent neural network ; and graph neural network ; mutational signatures ; smoking ; lung cancers ; APOBEC ; immune response to smoking ; cell-type composition ; goblet cells ; ciliated cells ; basal cells ; Protein Data Bank ; Open Access ; Worldwide Protein Data Bank ; macromolecular crystallography ; cryogenic electron microscopy ; cryogenic electron tomography ; electron crystallography ; micro-electron diffraction ; nuclear magnetic resonance spectroscopy ; biological macromolecules ; proteins ; nucleic acids ; DNA ; RNA ; carbohydrates ; small-molecule ligands ; social determinants of health ; electronic health records ; real-world evidence ; census tract ; data science ; protein database ; search tool ; prioritization algorithm ; drug repositioning ; quantum machine learning ; quantum metric learning ; kernel method ; kernel classifiers ; structural bioinformatics ; function annotation ; specificity annotation ; MSA ; entropy ; variability ; amino acids ; Philip Bourne ; FAIR ; bioinformatics ; n/a ; protein kinases ; functional families ; KinFams ; KinBase classification ; large language models ; pharmacovigilance ; social media ; drugs of abuse ; DNA sequencing ; read classification ; metagenomics ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-01
    Description: This book focuses on the application of implementation science methods to enable the rapid uptake and sustainable implementation of new diagnostics into routine health practices to strengthen health systems.Diagnostics are essential for the success of universal health coverage and improved health outcomes. The increased development and deployment of diagnostics for use at the point of care will not guarantee improved access to diagnostics and health outcomes if their implementation is not optimized. Optimal implementation will need to be guided by theories and methods that aim to promote evidence-based practices and findings of research into routine practice, taking into consideration quality systems and contexts.
    Keywords: prognosis ; lactate clearance ; biomarker ; emergency medical services ; emergency department ; critical care ; ultrasound ; imaging ; X-ray ; chest ; diagnosis ; SARS ; SARS-CoV-2 ; rapid diagnostic techniques ; POCT techniques ; lung ultrasound ; COVID-19 ; POCUS ; mHealth devices ; accuracy ; sensitivity ; specificity ; sub-Saharan Africa ; point of care ultrasound ; implementation science ; adoption ; mHealth applications ; disease diagnosis ; treatment support ; rapid diagnostic testing ; RDT ; modelling ; symptoms ; transmission prevention ; infectious disease ; human immunodeficiency virus ; HIV ; coronavirus ; tuberculosis ; health services ; primary healthcare ; point of care diagnostic services ; supply chain management ; resource-limited settings ; Indian pandemic ; rapid antigen tests (RATs) ; CoviSelf ; CoWIN ; digital divide ; rural India ; Indian villagers ; poverty ; discourse analysis ; qualitative medical/health research strategies ; vulnerable populations ; literacy ; diagnostics ; advocacy ; n/a ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This reprint covers the following topics in the field of smart grids: 1. Optimal dg location and sizing to minimize losses and improve the voltage profile using garra rufa optimization. 2. Solar and wind energy forecasting for the green and intelligent migration of traditional energy sources. 3. Optimized micro-grid’s operation with electrical-vehicle-based hybridized sustainable algorithm. 4. The detection of nontechnical losses in smart meters using a MLP-GRU deep model and augmenting data via theft attacks. 5. A hybrid deep-learning-based model for the detection of electricity losses using big data in power systems. 6. Load frequency control and automatic voltage regulation in a multi-area interconnected power system using nature-inspired computation-based control methodology. 7. Line overload alleviations in wind energy integrated power systems using automatic generation control. 8. Electric price and load forecasting using a CNN-based ensembler in a smart grid. 9. Day-ahead energy forecasting in a smart grid considering the demand response and microgrids. 10. A dragonfly optimization algorithm for extracting the maximum power of grid-interfaced pv systems. 11. An economic load dispatch problem with multiple fuels and valve point effects using a hybrid genetic–artificial fish swarm algorithm. 12. Incentive-based dynamic pricing in a smart grid.
    Keywords: demand side management ; demand response ; load scheduling ; real time pricing ; genetic algorithm ; dynamic incentives ; artificial fish swarm algorithm ; economic load dispatch ; hybrid genetic–artificial fish swarm algorithm ; multi-objective optimization ; sustainable power generating system ; photovoltaic (PV) ; partial shading ; maximum power point tracking (MPPT) ; dragonfly optimization algorithm (DOA) ; adaptive cuckoo search optimization (ACSO) ; fruit fly optimization algorithm combined with general regression neural network (FFO-GRNN) ; improved particle swarm optimization (IPSO) ; voltage source inverter (VSI) ; total harmonic distortion (THD) ; energy optimization ; day ahead energy prediction ; artificial neural network ; renewable energy sources ; microgrid ; smart grid ; electricity price forecasting ; energy management ; electricity load forecasting ; convolutional neural network ; corona virus herd immunity optimization ; sustainable cities ; requirement-gathering tool ; qualitative comparison ; requirement engineering ; software engineering ; requirement-management tools ; automatic generation control ; wind energy ; transmission line security ; dispatch strategies ; Pakistan power system ; PI-PD controller ; load frequency control ; automatic voltage regulator ; nature-inspired optimization ; multi-area interconnected power system ; class imbalance ; gated recurrent units ; electricity theft detection ; non-technical losses ; smart grids ; deep learning ; GRU ; healthcare ; MLP ; PRECON ; smart cities ; smart meters ; sustainable society ; electric vehicles ; flexible load ; optimization ; renewable energy ; forecasting ; machine learning ; energy efficiency ; sustainability ; low carbon emission ; distribution generation ; Garra Rufa ptimization ; PSO ; GA ; power system ; urban sustainability ; local growth ; regional cities ; cultural heritage ; real estate ; intelligent regions ; innovation systems ; circular economy ; regional policies ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Food quality, including dietary quality and diversity, is as essential to human health as air is to human life. In addition, other healthy lifestyle factors, including a healthy body mass index, regular exercise, no smoking, and sufficient sleep duration, are associated with a lower incidence of chronic non-communicable diseases and longer life expectancy. More importantly, maternal healthy lifestyle factors are also associated with a substantially reduced risk of chronic diseases in their offspring. Childhood is a critical period for the development of a healthy lifestyle and the prevention of chronic diseases in adulthood. However, the prevalence of childhood obesity is increasing and unhealthy lifestyles are becoming an epidemic, posing a potential future burden of adult chronic disease. The aim of this Special Issue is to identify and assess dietary factors, including dietary diversity and specific nutrients/phytochemicals, as well as other healthy lifestyle factors, in the prevention and management of childhood chronic diseases. Additionally, we want to identify gaps and tools that could help with the assessment of children’s health. We wanted to encourage all researchers who work in this field to submit original research, reviews, systematic reviews, and meta-analyses to this Special Issue to broaden our knowledge and pave the way for new research directions.
    Keywords: preschool children ; nutritional status ; eating habits ; Mediterranean diet ; Split-Dalmatia County ; fruit consumption ; lipid ; dyslipidemia ; children and adolescents ; China ; child ; diet quality ; caregiver perception ; CCDI ; dietary fat ; polyunsaturated fatty acid ; monounsaturated fatty acid ; puberty timing ; soy food ; obesity ; hypertension ; child and adolescent health ; food marketing ; policy research ; diet ; kindergarten ; menus ; nutritional errors ; children ; blood pressure ; single-child status ; lifestyle behaviors ; birth cohort ; prospective study ; maternal dietary pattern ; neurodevelopment ; malnutrition ; overnutrition ; fruit and vegetable intake ; potassium intake ; renal damage ; leptin ; preterm neonate ; intrauterine growth restriction (IUGR) ; growth trajectories ; children health prognosis ; diet quality questionnaire ; food groups ; sentinel foods ; dietary diversity ; sedentary behavior ; metabolic syndrome ; preterm ; prebiotics ; glycomacropeptide ; metagenomics ; breastfeeding ; obesity phenotypes ; healthy lifestyle ; baby food ; food contaminant ; toxic elements ; food exposure ; children safety ; children’s health ; arsenic ; cadmium ; mercury ; lead ; latent class analysis ; mediation analysis ; health-related behavior ; cohort ; health-related quality of life ; Swedish Healthy Eating Index for Adolescents 2015 (SHEIA15) ; Riksmaten Adolescents Diet Diversity Score (RADDS) ; inositol ; myo-inositol ; D-chiro-inositol ; gestational diabetes mellitus ; insulin resistance ; randomized controlled trial ; meta-analysis ; screeners ; nutrition ; physical activity ; sedentary behaviour ; lifestyle risk ; COVID-19 ; dietary balance ; Japan ; mealtime regularity ; lifestyle ; electronic devices ; household ; fast food ; adolescents ; dietary behavior ; family ; childhood asthma ; innate immunity ; fruit and vegetables ; carotenoids ; cardio-metabolic risk factors ; birth weight ; parents’ educational level ; parents’ occupational level ; birthweight ; adiposity ; cardiorespiratory fitness ; cholesterol ; lifestyle intervention ; KIDMED test ; kidney impairment ; Diet Quality Questionnaire ; global dietary recommendations ; overweight ; child-nutrition disorders ; prediabetic state ; nutrition therapy ; Mediterranean ; rural health ; complementary feeding ; determinants ; infant feeding ; Thailand ; young child ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCC Cultural studies::JBCC4 Cultural studies: food and society
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-23
    Description: Maritime transport contributes to over 80% of global trading volumes. As such, marine policy has received a large amount of attention from industrial practitioners, researchers, policymakers, and the local community. In general, marine policy covers a wide-ranging area, including governance, international relations, economics, environments, and operations, amongst others. To a certain extent, marine policy fosters the sustainable development of the maritime industry. There has been a wide range of research in different disciplines of marine policy.The purpose of this book is to publish the most intriguing research with respect to the above subjects and to provide a rapid turn-around time regarding reviewing and publishing, as well as to disseminate articles freely for research, teaching, and reference purposes. Furthermore, the book aims to keep readers up to date with the latest developments and research in maritime affairs.
    Keywords: crisis management ; maritime management ; circular letter ; corpus linguistics ; coevolution ; blockchain (BC) ; adoption ; challenges ; developing environments ; Chinese cruisers ; arctic region ; travel constraint ; preference ; behavioral intention ; vessel deployment ; de-hubbing ; transhipment ; port development ; container demand ; liner shipping ; uncertainties ; ship schedules ; schedule recovery ; recovery strategies ; literature survey ; maritime container shipping (MCS) ; network analysis ; Suez Canal (SC) ; weighted network ; graph theory ; 1970s ; liner service (LS) ; disruption simulation ; Maritime Silk Road ; shipping network structure resilience ; dominant port ; vulnerable port ; crisis response ; corporate social responsibility ; container shipping ; text analysis ; COVID-19 ; ferry ; navigation ; safety ; risk ; fuzzy AHP ; coastal management ; fishing areas ; spatial planning ; coastal environmental ; coastal geopolitics ; blue economy ; bibliometrics ; export promotion programs ; export competitiveness ; export performance ; marine transportation ; craft products ; niche differentiation strategy ; craft product ; ship ; transport ; English ; engineer ; IMO ; carbon neutral ; marine fishery ; carbon emission ; carbon sink ; net carbon emission ; LMDI ; maritime industry ; safety management ; ISM Code ; safety supervision ; shipboard safety ; n/a ; thema EDItEUR::A The Arts::AT Performing arts::ATF Films, cinema ; thema EDItEUR::A The Arts::AT Performing arts::ATJ Television
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint contains 33 articles accepted and published in the Special Issue entitled “Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics, 2022” in the MDPI journal, Mathematics, which covers a wide range of topics connected to the theory and applications of feature representation learning for image processing, artificial intelligence, data mining and robotics. These topics include, among others, elements from image blurring, image aesthetic quality assessment, pedestrian detection, visual tracking, vehicle re-identification, face recognition, 3D reconstruction, the stability of switched systems, domain adaption, deep reinforcement, sentiment analysis, graph convolutional networks, knowledge graphs, geometric metric learning, etc. It is hoped that this reprint will be interesting and useful for those working in the area of image processing, computer vision, machine learning, natural language processing and robotics, as well as for those with backgrounds in machine learning who are willing to become familiar with recent advancements in artificial intelligence, which, today, is present in almost all aspects of human life and activities.
    Keywords: head detection ; YoloV4 ; NMS ; soft-NMS ; people counting ; vehicle re-identification ; license plate recognition ; video surveillance ; feature extraction ; pedestrian detection ; machine learning ; end-to-end ; anchor-free ; feature reuse ; correlation filters ; second-order fitting ; visual tracking ; DCNN-BiLSTM ; domain adaptation ; MMD ; fine-tuning ; C-MAPSS ; cross-working ; small sample ; blind image deblurring ; image prior ; sparse channel ; sparsity ; multi-output ; kNN ; metric learning ; cost-weighted ; geometric mean metric ; motion deblurring ; image super-resolution ; multi-order attention ; gated learning ; decoupling ; face recognition ; second-order gradient ; image gradient orientations ; collaborative-representation-based classification ; image aesthetic assessment ; semi-supervised learning ; label propagation ; deep learning ; computer vision ; garbage quantity identification ; YOLOX ; Soft-NMS ; stability ; switched system ; state-dependent switching ; time delay ; multi-source domain adaptation ; Dempster–Shafer evidence theory ; cross-domain classification ; 3D reconstruction ; multi-view stereo ; structure from motion ; background matting ; adversarial example ; feature transformation ; black-box attack ; ensemble attack ; deep neural network ; intelligent design ; data analysis ; models and algorithms ; extension theory ; scheme design ; adversarial learning ; adversarial equilibrium ; transferability quantification ; power load forecasting ; routing, modulation and spectrum assignment ; elastic optical networks ; deep reinforcement learning ; knowledge distillation ; aspect-based sentiment analysis ; graph neural networks ; dependency trees ; dependency types ; graph attention mechanism ; syntactic ; semantic ; vehicle color recognition ; low–high level joint task ; object detection ; joint semantic learning ; rainy image recovery ; XSS attack ; traffic detection ; payloads ; fusion verification ; hypergraph matching ; similarity metric ; information-theoretic metric learning ; mixed noise removal ; matrix nuclear norm ; logarithm norm ; ADMM ; plug-and-play ; aspect-level sentiment classification ; external knowledge ; KGE ; GCN ; discriminative feature learning ; multidimensional scaling ; fuzzy k-means ; pairwise constraint propagation ; iterative majorization algorithm ; Aspect Level Sentiment Classification ; Contrasitve Learning ; Graph Convolutional Networks ; graph convolutional networks ; commonsense knowledge graph ; anomaly detection ; cyber–physical ; industrial control systems ; image classification ; large-margin technique ; robustness ; anti-noise performance ; cross-domain sentiment classification ; word embedding ; GAT ; hate speech detection ; contrastive learning ; multi-task learning ; attention mechanism ; state reconstruction ; gait adjustment ; uncertain temporal knowledge graph ; temporal knowledge graph ; knowledge graph embedding ; confidence score ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special issue focuses of the most relevant advances in the field of inborn errors of immunity. Indeed, as immunology is rapidly progressing, with the constant discovery of new disease entities and the better characterization of molecular mechanisms and targeted therapies, a continuous update is mandatory for clinician and researchers. In this Issue, the non-infectious manifestations of inborn errors of immunity (such as autoimmunity, atopy, and lymphoproliferation) are deeply discussed, as well as the impact of the novel genetic sequencing techniques in the diagnostic approach. Moreover, some well-known disorders, including common variable immunodeficiency, are extensively reviewed and revisited in a modern way. Also, diseases of recent description, including some disorders of immune dysregulation and inborn errors of immunity associated with syndromes, are described. Finally, some of the papers of this Special Issue focus in a detailed way the molecular mechanisms leading to immunodeficiency and immune dysregulation, also opening the way for further clinical and preclinical studies. As the expanding availability of immunological and genetic testing offers the opportunity to identify new disease entities and elucidate the function of new genes involved in the development and regulation of the immune response, we aim to present the most relevant innovations in this delicate field.
    Keywords: B cell maturation ; CD4+ cells ; T cell maturation ; primary immune deficiency ; autoimmunity ; connective tissue diseases ; atopic diseases ; atopy ; allergy ; selective IgA deficiency ; primary immunodeficiency ; autoimmune diseases ; Immunoglobulin E ; Immunoglobulin deficiency ; infections ; malignancy ; 22q11.2 deletion syndrome ; activated phosphoinositide 3-kinase d syndrome ; common variable immunodeficiency ; complement deficiency ; CTLA-4 ; Immune dysregulation ; LRBA ; severe combined immunodeficiency ; X-linked agammaglobulinemia ; anti-SARS-CoV-2 antibodies ; COVID-19 ; SARS-CoV-2 ; PIMS-TS ; Foxp3 ; IPEX ; CVID ; primary immunodeficiencies ; epigenetics ; DNA methylation ; inborn errors of immunity ; DiGeorge syndrome ; 22q11.2 deletion ; thymic output ; dendritic cells ; immunodeficiency ; copy number variations ; array-CGH ; IKZF1 ; IKAROS ; de novo mutation ; R162Q ; immune response ; heterologous vaccine ; humoral response ; T-cell response ; autoimmune lymphoproliferative syndrome ; lymphoproliferation ; gastrointestinal infections ; Giardia ; giardiasis ; refractory ; treatment ; immunology ; immunogenetic ; eosinophilic gastrointestinal disorders ; eosinophilic esophagitis ; unclassified primary antibody deficiency ; primary antibody deficiency ; transient hypogammaglobulinemia of infancy ; children ; TNFRSF13B mutations ; isolated IgM deficiency ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Research performed on robotic applications has significantly expanded in the last decade, and currently, robotic systems are being utilized for many purposes. To achieve this generalized application of robots, researchers have endeavoured to study a wide variety of methods and algorithms in order to properly employ robotic systems in many real-life scenarios. At present, many types of robotic platforms are being employed in various applications, e.g., dual-arm robots, parallel robots, mobile robots, humanoid robots, aerial robots, underwater robots, and micro/nano robots. Moreover, some theoretical tools are specially being used to obtain correct robot performance, e.g., machine learning, artificial intelligence, multi-agent systems, and control and planning theory. The purpose of this reprint is to exhibit the current state of robotic applications. In particular, in addition to introducing novel theories and methods, this reprint is particularly focused on the application of robotic systems in real-life situations. Thus, the presentation of experimental results makes evident the feasibility and usefulness of robotic systems in practical cases. Obviously, this reprint does not intend to exhaustively demonstrate all the current existing robotic applications but rather give an overview of them, revealing the high level of activity in this area. This reprint contains an Editorial, together with 30 contributions in total from countries all around the world, addressing a broad range of robotic applications.
    Keywords: 6D pose estimation ; learning-based approach ; 2D-information-based approach ; 3D-information-based approach ; textureless and reflective objects ; foreground occlusion ; background clutter ; automated parking system ; fuzzy comprehension evaluation ; Floyd algorithm ; human-operated vehicle ; autonomous vehicle ; agriculture ; cooperative robots ; key technology ; control ; humanoid and bipedal locomotion ; legged robots ; passive walking ; foot placement estimation ; nonprehensile manipulation ; robotic batting ; high-speed object manipulation ; ball recognition ; trajectory estimation ; motion control ; weighted least square ; mobile robot ; formation ; motion coordination ; attitude observer ; trajectory tracking ; path tracking ; compliance control ; human–robot interaction ; sliding mode controller ; manual guidance ; path planning ; pure pursuit controller ; deep learning ; robot kidnapping detection ; autonomous navigation ; topological mapping ; field robotics ; mining automation ; robotic assembly ; deep neural networks ; peg-in-hole ; dual-arm ; human–robot collaboration ; assembly task ; user studies ; user preferences ; quality of task execution ; usability ; autonomous loading system ; manipulator motion planning ; manipulability ; stochastic planner ; robotics ; service robots ; healthcare robots ; robot-as-a-service ; smart cities ; AGV ; AMR ; industrial robots ; collaborative robots ; machine learning in robotics ; computer vision ; system identification ; flapping-wing micro air vehicle ; longitudinal mode ; model refinement ; gray box model ; onboard sensors ; robot calibration ; robot remastering ; calibration uncertainty ; part probing ; uncertainty reduction ; sensor feedback ; nanoelectromechanical system (NEMS) ; nanorobots ; ion channel Kv10.1 ; mathematical modeling ; control algorithm ; pose estimation ; 3D reconstruction ; charuco cuboid ; pediatric stroke ; upper limb ; hand rehabilitation ; device ; Gloreha Sinfonia ; case report ; robot system ; augmented reality ; robot teleoperation ; face recognition ; face tracking ; face detection ; face alignment ; person identification ; intelligent robots ; interactive systems ; time-of-flight ; lidar ; field of view redirection ; passive redirection ; clean mirror ; dusted mirror ; prism ; robot-assisted laparoscopic surgery ; surgical robot ; da Vinci Research Kit ; IoT ; multiple object tracking ; MOT ; self-driving ; SLAM ; KITTI ; MOTChallenges ; MOT15 ; MOT16 ; MOT17 ; UA_DETRAC ; symmetry ; sit-to-stand ; elevation angle ; coordination ; backpropagation ; optimization methods ; inverse kinematics ; bipedal robot ; bio-inspired design ; simulation ; model-based design ; LIPM ; passive walker ; Unmanned aerial vehicles (UAVs) ; detection technologies ; radio frequency-based (RF) ; radar ; acoustic ; electro optical ; hybrid fusion ; controller detection ; bird song ; soundscape ; ecoacoustics ; sound source localization ; robot audition ; HARK ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries ; bic Book Industry Communication::U Computing & information technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Twenty interesting studies on, among others, risks towards firm performance, financial risk and financial uncertainties, risk consequences for European countries’ businesses and economies from the Russia and Ukraine conflict, the effects of adopting enterprise risk management on the performance and risks of European publicly listed insurance firms, the management of financial risks while performing international commercial transactions, market liquidity and its dimensions, benchmarking as a way of finding risk factors in business performance, the effect of risk disclosure for trade credit, risk perception, accounting, and resilience in public sector organizations, and psychological effects from potential unexpected environmental disasters on investors. Although disasters are associated with risk, investors tend to have a different perspective depending on the source of the disaster. More specifically, if a country is facing a natural disaster, where no one can be blamed, the foreign investors who may hold a country’s bonds will continue to trust the country due to the “innocence” of the country. On the other hand, when a firm causes a technological disaster, such as a nuclear power plant explosion, investors, if this corporation is publicly traded, will “punish” the firm by selling its shares at any price to avoid a bigger loss.
    Keywords: na-tech ; systematic risk ; market reaction ; unexpected events ; investing ; banking ; clearinghouses ; systemic risk ; derisking ; drivers and implications of derisking ; risk management ; antimoney laundering (AML) ; combatting the financing of terrorism (CFT) ; financial services ; Malta ; small EU state ; proportionality ; conditional value-at-risk ; CVaR ; CVaR regression ; drawdown ; conditional drawdown-at-risk ; fund style classification ; resilience capacity ; cut-back management ; crisis ; Plato ; fairness ; commercial transactions ; international trade ; game theory ; risk disclosure ; trade credit ; content analysis ; Tunisian listed companies ; benchmarking ; best value ; business ; data envelopment analysis (DEA) ; performance ; risk factors ; microblogging data ; data mining ; investor sentiments ; asset pricing ; market liquidity ; liquidity dimensions ; option pricing ; utility indifference pricing ; transaction costs ; Hamilton-Jacobi-Bellman equation ; penalty methods ; finite difference approximation ; financial risk ; financial institutions ; international commerce ; profiteering ; non-fraudulent currency ; classical Athens ; risk ; bonds ; equities ; hedge funds ; forecasting ; GARCH ; value at risk ; enterprise risk management ; firm characteristics ; firm performance ; firm risk ; insurance firms ; COVID-19 ; helping behavior ; in-group identity ; risk perception ; severity of a local pandemic ; financial ; non-stationary ; time-series ; copula ; dependence ; univariate ; bivariate ; war in Ukraine ; Europe ; consequences ; economy ; companies ; embargo ; institutional volatility ; institutional rigidity ; political and social change ; regime risks ; Sparta ; Athens ; transformational change ; nonprofits ; NDIS Implementation Framework ; business models ; sustainability ; energy crisis risks ; nuclear energy ; renewable energy ; greenhouse gases emissions ; nuclear accidents ; nuclear weapons ; nuclear waste management ; capabilities ; reputation risk ; mediation model ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJC Business strategy ; thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-29
    Description: The business model concept has gained a prominent position both in academia and among practitioners during the past 30+ years. The aim of this Special Issue of Systems is to contribute to a stronger theoretical basis for the business model concept. This includes a focus on the systemic character of business models and the systems approaches that this entails. Another important aspect is to allocate more attention to innovations of business models. The business models that emerged with e-commerce and e-business as such were in themselves innovations. However, innovations of business models have received too little attention. Most of the business models analyzed and discussed in the business model literature have been rather static instead of dynamic. This is the reason why this Special Issue of Systems, entitled ‘Business Model—the Perspective of Systems Thinking and Innovation’, has been developed.
    Keywords: digital business models ; digital economy ; network effects ; digital business model innovation ; digital innovation ; systems thinking ; Rich Picture ; complexity ; Netflix ; port supply chain ; blockchain ; smart contract ; probabilistic model checking ; luxury hotel ; COVID-19 ; marketing ; human resource ; efficiency ; TRIZ ; decision making ; social commerce ; e-commerce ; social media ; business model ; network steam ; business model innovation ; blitz canvas ; process-driven business models ; business model canvas ; lean startups ; adaptability ; ecological fitness ; entropy ; environment ; growth ; stability ; start-ups ; survival ; synchronous ; sustainability ; system design thinking ; system innovation ; designer ; open system approach ; product innovation ; attention allocation ; strategic attentions ; external information sources ; absorptive capacity ; organizational learning ; service design ; digital technology ; experience innovation ; cultural heritage ; supply chain system ; data sharing ; access control ; system verification ; supply chain ; data ownership ; data asset trading ; block chain ; demand-side economies of scope ; economies of scale ; Big Tech corporations ; business models ; system dynamics ; agriculture value chain ; farmers behavior ; fresh products production ; incumbents ; innovation management ; exploration ; renewal ; thema EDItEUR::K Economics, Finance, Business and Management
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  • 93
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The global coronavirus pandemic has highlighted the paramount importance of immune health and the nutrient status of peoples worldwide. Vitamins C and D have important roles in both the innate and adaptive immune systems and are known to support healthy immune function. Both vitamins C and D have gene regulatory roles with the ability to up- and down-regulate thousands of genes, thus playing pleotropic roles in human health and disease. People from low- and middle-income countries tend to have inadequate micronutrient intakes and status, as do specific subgroups from high-income countries. This can affect their resistance to both communicable and non-communicable diseases and the severity of these diseases. In this Special Issue, we have compiled review articles and research papers (both observational and interventional studies) that explore the role of vitamins C and D in numerous aspects of global and population health.
    Keywords: immune system ; viral infection ; influenza ; COVID-19 ; micronutrients ; vitamins ; omega-3 fatty acids ; minerals ; vitamin C ; vitamin D ; vitamin C status ; vitamin C deficiency ; global health ; dietary intake ; obesity ; smoking ; communicable disease ; infection ; noncommunicable disease ; hypovitaminosis C ; low and middle income ; LMIC ; supplement ; non-communicable disease ; Vitamin C status ; energy ; well-being ; kiwifruit ; mood ; SARS-CoV-2 ; coronavirus ; ascorbate ; colds ; pneumonia ; sepsis ; immunonutrition ; supplementation ; dietary surveys ; trends ; descriptive studies ; United States ; fruit juice ; fruit ; vegetables ; psychology ; mental health ; nutrition ; healthy adults ; ethnicity ; Māori ; Pasifika ; Pacific ; Asian ; ascorbic acid ; post-viral fatigue ; lack of concentration ; sleep disturbances ; depression ; frailty ; elderly ; hospitalisation ; serum 25-hydroxyvitamin D ; first-generation immigrants ; melanin ; long COVID ; immunisation ; immune support ; body weight ; vitamin C intake ; plasma ascorbate concentrations ; vitamin C requirements ; dietary vitamin C ; hyperglycaemia ; South Africa ; vitamin D receptor ; vitamin D-binding protein ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFC Cultural studies::JFCV Food & society
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: A multidisciplinary approach that involves multiple sectors and stakeholders is essential for disaster risk reduction and adaptation to climate change. This Special Issue explores how interdisciplinary approaches could resolve a wide range of issues, including risk and damage assessment, behavior change, investment, and evidence-based policy formulation.
    Keywords: natural hazard-triggered technological (Natech) ; risk perception ; protective actions ; evacuation ; household survey ; Cilegon ; Indonesia ; agricultural drought vulnerability ; spatial heterogeneity ; entropy weight method ; contribution model ; China ; risk assessment ; high-temperature disaster ; kiwifruit ; climatic suitability zoning ; hazard ; vulnerability ; exposure ; disaster prevention and mitigation capacity ; extreme temperature indices ; abrupt ; prediction ; disaster risk ; Yangtze River Basin ; climate change ; adaptation ; method ; digital disaster reduction ; natural disasters ; agricultural production ; food aid ; official development assistance ; conflict ; poverty ; cereal production ; humanitarian aid ; financing mechanism ; flood protection ; investment cycle ; investment in DRR ; Japan ; long-term plan ; lost decades ; Sendai Framework for Disaster Risk Reduction ; multi-variate Probit model ; Poisson regression model ; agricultural productive services ; earthquake disaster ; earthquake fatalities ; rapid estimation ; earthquake relief ; disaster assessment ; earthquake emergency response ; numerical simulation ; empirical method ; Yangbi earthquake ; COVID-19 ; disaster science ; evidence-based policymaking ; ordinal logistic regression ; principal component analysis ; compound indicator ; single-person households ; indirect death ; long-term effects ; excess mortality ; surveillance system ; disaster risk reduction ; disaster risk perception ; the population at risk ; agent-based modeling ; coastal areas ; community-based adaptation ; nature-based solutions ; green infrastructure ; perception ; family ; community ; Jakarta ; disaster preparedness capability ; heavy rainstorm ; local government ; AHP ; evaluation index system ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics ; bic Book Industry Communication::P Mathematics & science::PH Physics::PHK Electricity, electromagnetism & magnetism
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The discovery of new drugs is one of pharmaceutical research's most exciting and challenging tasks. Unfortunately, the conventional drug discovery procedure is chronophagous and seldom successful; furthermore, new drugs are needed to address our clinical challenges (e.g., new antibiotics, new anticancer drugs, new antivirals).Within this framework, drug repositioning—finding new pharmacodynamic properties for already approved drugs—becomes a worthy drug discovery strategy.Recent drug discovery techniques combine traditional tools with in silico strategies to identify previously unaccounted properties for drugs already in use. Indeed, big data exploration techniques capitalize on the ever-growing knowledge of drugs' structural and physicochemical properties, drug–target and drug–drug interactions, advances in human biochemistry, and the latest molecular and cellular biology discoveries.Following this new and exciting trend, this book is a collection of papers introducing innovative computational methods to identify potential candidates for drug repositioning. Thus, the papers in the Special Issue In Silico Strategies for Prospective Drug Repositionings introduce a wide array of in silico strategies such as complex network analysis, big data, machine learning, molecular docking, molecular dynamics simulation, and QSAR; these strategies target diverse diseases and medical conditions: COVID-19 and post-COVID-19 pulmonary fibrosis, non-small lung cancer, multiple sclerosis, toxoplasmosis, psychiatric disorders, or skin conditions.
    Keywords: COVID-19 ; drug repurposing ; topological data analysis ; persistent Betti function ; SARS-CoV-2 ; network-based pharmacology ; combination therapy ; nucleoside GS-441524 ; fluoxetine ; synergy ; antidepressant ; natural compounds ; QSAR ; molecular docking ; drug repositioning ; UK Biobank ; vaccine ; LC-2/ad cell line ; drug discovery ; docking ; MM-GBSA calculation ; molecular dynamics ; cytotoxicity assay ; GWAS ; multiple sclerosis ; oxidative stress ; repurposing ; ADME-Tox ; bioinformatics ; complex network analysis ; modularity clustering ; ATC code ; hidradenitis suppurativa ; acne inversa ; transcriptome ; proteome ; comorbid disorder ; biomarker ; signaling pathway ; druggable gene ; drug-repositioning ; MEK inhibitor ; MM/GBSA ; Glide docking ; MD simulation ; MM/PBSA ; single-cell RNA sequencing ; pulmonary fibrosis ; biological networks ; p38α MAPK ; allosteric inhibitors ; in silico screening ; computer-aided drug discovery ; network analysis ; psychiatric disorders ; medications ; psychiatry ; mental disorders ; toxoplasmosis ; Toxoplasma gondii ; in vitro screening ; drug targets ; drug-disease interaction ; target-disease interaction ; DPP4 inhibitors ; lipid rafts ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KND Manufacturing industries::KNDP Pharmaceutical industries
    Language: English
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  • 96
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This special issue "Separation, Extraction and Purification of Natural Products from Plants" contains high-quality multidisciplinary research and review articles on various aspects of natural products. Quality by design (QbD) is a science-based and risk-based concept. The implementation of QbD ensures consistent high quality of natural product. The advantages of the concept are reflected in the researches collected in this special issue, such as the two articles on the optimization of the steam distillation process from Jiangxi University of Chinese Medicine. Process analytical technology (PAT) is an important part of the implementation of QbD concept. Two articles from Dr. Li Wenlong combines spectroscopy and chemometrics, providing good examples on the monitoring of natural product preparation process. Chromatographic separation and analysis are very important for quality control of natural products. There are six articles from different countries focusing on this topic. There are two articles investigating separation technologies, including membrane filtration and ethanol precipitation. Traditional Chinese medicines are also an important category of natural products. A review from Zhejiang University talks about the quality control of Xiaochaihu Capsule. I received a lot of help from friends from universities and enterprises in completing this special issue. I would like to express my gratitude to them. My thanks also go to the editors of this journal of Separations.
    Keywords: azide ; cilostazol ; COVID-19 ; genotoxic impurity ; validation ; LLE ; ethanol precipitation ; loss of active ingredients ; mixing condition indicator ; micromesh mixer ; Caulis sinomenii ; microfiltration ; ultrafiltration ; sinomenine hydrochloride ; separation and purification ; Phyllanthus urinaria L. ; ellagic acid ; mechanochemical-assisted extraction ; macroporous adsorption resin ; compositional monosaccharides ; HPLC–ELSD/PDA combined with HPSEC–MALLS–RID ; molecular weight ; quality markers (Q-marker) ; red ginseng polysaccharides ; Xiaochaihu (XCH) formula ; preparations ; quality control ; standard ; 4-aryl-3,4-dihydropyrimidin-2(1H)-ones ; teicoplanin aglycone ; chiral HPLC ; enantioselectivity ; molecular docking ; molecular dynamics ; Radix Angelicae sinensis ; volatile oil ; Box–Behnken design ; steam distillation ; extraction kinetics ; design space ; dill ; Anethum graveolens L. ; essential oil ; Neofusicoccum parvum ; antifungal mechanism ; near-infrared spectroscopy ; Astragali radix ; alcohol precipitation ; accuracy profile ; Vis-NIR spectroscopy ; Ginkgo biloba L. leaves ; in-line analysis ; column chromatographic elution ; consistency evaluation ; multivariate statistical process control (MSPC) ; quality by design ; Xiaochaihu capsule ; quantitative chromatographic fingerprint ; definitive screening design ; Plackett–Burman ; Forsythia suspensa ; Lonicera japonica ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PN Chemistry ; thema EDItEUR::P Mathematics and Science::PN Chemistry::PNF Analytical chemistry
    Language: English
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  • 97
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Natural hazard events and technological accidents are separate causes of environmental impacts. Natural hazards are physical phenomena active in geological times, whereas technological hazards result from actions or facilities created by humans. In our time, combined natural and man-made hazards have been induced. Overpopulation and urban development in areas prone to natural hazards increase the impact of natural disasters worldwide. Additionally, urban areas are frequently characterized by intense industrial activity and rapid, poorly planned growth that threatens the environment and degrades the quality of life. Therefore, proper urban planning is crucial to minimize fatalities and reduce the environmental and economic impacts that accompany both natural and technological hazardous events.
    Keywords: landslide monitoring ; early warning ; emergency management ; dissemination ; urbanized areas ; benefit evaluation ; gray correlation method ; soil erosion ; soil physical properties ; earthquake fatalities ; deep learning ; random forest ; feature importance ; structure type ; flash flood ; driving factor ; sensitivity analysis ; subregion of landcover ; Yunnan Province ; flood risk ; Bayesian networks ; integrated index for flood risk assessment ; WSN ; pipeline leakage ; human-induced sinkhole ; leakage detection ; sewer pipeline ; sensors ; highway waterfall ice ; ground water ; mathematical model ; formation mechanism ; natural hazards ; multi-agent system ; emergency relief ; public participation ; contamination indices ; geo-accumulation factor ; heavy metals ; GIS ; hazard ; social vulnerability ; hydrological and hydrodynamic model ; analytic hierarchy process ; fuzzy Delphi ; Athens metropolitan area ; urban fires ; analytical hierarchy process ; flooding ; structural vulnerability ; seismicity ; Wastewater Treatment Plants ; sustainability ; Ioannina polje ; soil quality ; agricultural soil ; aircraft emissions ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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  • 98
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-02
    Description: This reprint focuses on the impact of the global COVID-19 pandemic on STEM education and measures (teaching tools and research practices) taken to combat the learning gaps in STEM education in the post-pandemic era. Contributions were collected from researchers engaged in STEM education research, including the methods, pedagogical approaches, and environments they utilize in the post-pandemic era.
    Keywords: educational innovation ; COVID-19 ; higher education ; professional education ; remote learning ; online teaching ; chemistry laboratory ; hands-on experiments ; competencies ; students’ perception ; engineering education ; online assessments ; multi-course project-based learning (MPL) ; Sustainable Development Education (ESD) ; educational technologies ; digital technologies ; teaching experiences ; learning experiences ; pedagogy ; online learning ; distributed learning environments ; media in education ; domestic space ; programming education ; feedback to teachers ; programming process ; visualization ; online problem-based learning (PBL) ; online just-in-time teaching (JiTT) ; impacts on learning and skills ; implementation challenges ; multidisciplinary education ; interdisciplinary ; convergence education ; attitude toward convergence ; creative problem solving ; integrated curriculum ; STEM ; STEAM education ; self-efficacy ; emotions ; academic engagement ; hybrid learning ; COVID-19 pandemic ; STEAM ; design-based research ; cooperative teaching ; China ; gender differences ; learning outcomes ; compulsory education ; pedagogical methods ; STEM education ; high school ; teacher education ; STEM pedagogies ; barriers ; post-pandemic ; coronavirus ; engineering students ; remote classes ; online classes ; distance education ; information technologies ; students’ perceptions ; n/a ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JN Education
    Language: English
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  • 99
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The delicate balance of resource intensity and efficiency of a solution for a very complex problem raises the issue of how these aspects constitute a symmetrical or asymmetrical system. Computational Intelligence (CI) offers a plethora of efficient tools for the potential and rather good quality solution of highly complex, often mathematically intractable problems. This "toolbox" is one of the best examples for the study of the above mentioned issue, namely, how to find the best balance, how to establish a symmetry of weights or costs in a particular field, for a particular problem. This special issue presents a number of interesting novel applications of CI for the tackling of a wide variety of difficult problems. The Introduction gives a short insight into the symmetry and asymmetry aspect of the topic.
    Keywords: lung nodule segmentation ; 3D-UNet ; 3D-Res2UNet ; multi-scale features ; deep learning ; butterfly optimization algorithm (BOA) ; particle swarm optimization (PSO) ; cubic map ; nonlinear ; high dimension ; extensional fuzzy numbers ; MI-algebras ; similarity ; arithmetics of fuzzy numbers ; orderings ; fuzzy interpolation ; economic data ; air defense system ; artificial immune system ; command and control ; learning classifier system ; multi-agent systems ; weapon-target assignment ; energy optimization ; genetic algorithms ; multi-objective optimization ; artificial neural network simulator ; artificial intelligence ; artificial bee colony algorithm ; global optimization ; neural network ; nonlinear static system ; behavioural finance ; imprecision ; oriented fuzzy number ; oriented present value ; oriented return ; S-divergence ; S-distance ; spectral clustering ; text summarization ; recurrent neural network ; embedding ; dynamic memory network ; fuzzy-rough cognitive network ; fuzzy cognitive map ; granular computing ; fuzzy-rough sets ; stability ; convergence ; discrete bacterial memetic evolutionary algorithm ; simulated annealing ; flow shop scheduling problem ; global sensitivity analysis ; Sobol procedure ; fast algorithm ; convolutional neural network ; structure reduction ; pruning ; quality ; feature selection ; machine learning ; asexual ; genetic algorithm ; android malicious application detection ; bees algorithm ; training deep neural networks ; metaheuristics ; opinion mining ; recurrent neural networks ; sentiment classification ; natural language processing ; data augmentation ; fine-tuning ; generative models ; StyleGAN ; transfer learning ; present value ; discount factor ; portfolio ; finance ; optimization ; tourist trip design ; vehicle routing ; key performance indicator (KPI) ; anomaly detection ; variational auto-encoder (VAE) ; support vector data description (SVDD) ; FMEA ; Fuzzy Logic ; greenhouse gases ; blockchain ; difficulty adjustment ; proof-of-work ; ANN ; AlexNet ; COVID-19 ; TSA ; commonsense ; knowledge graph ; linguistic terms ; language models ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 100
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars).
    Keywords: speech emotion recognition ; domain adaptation ; SER generalization ; Korean Emotional Speech Database ; ensemble model ; multi-path ; group-loss ; BLSTM network ; facial micromovement ; emotion recognition ; emotion authenticity ; HRV parameter ; game addiction ; League of Legends ; stress response ; sensitivity ; specificity ; logistic regression ; facial action unit ; facial aging ; facial expression ; posed emotion ; virtual avatar ; virtual human ; virtual character ; embodied conversational agent ; social interaction ; empathy ; CNN ; cognitive workload ; functional connectivity analysis ; LSTM ; mental workload ; mutual information ; phase locking value ; phase transfer entropy ; deep learning ; facial expression recognition (FER) ; 3D convolutional neural network (3D CNN) ; multirate signal processing ; minimum overlapped frame structure ; self-attention ; multi-depth network ; video content empathy ; micro-movement synchronization ; non-contact empathy measurement ; empathic advertisement ; multimodal affective computing ; catecholamines ; emotion classification ; wearable devices ; deep neural networks ; multispectral imaging ; face recognition ; in the wild ; driver emotion recognition ; multimodal ; self-report ; real-world driving ; EEG ; learning emotions ; attention ; convolutional neural network ; multi-channel band features ; eye movement ; brain connectivity ; review ; human emotions ; affective and physiological states ; Plutchik’s wheel of emotions ; sensors ; methods and applications ; statistical and multiple criteria analysis ; country success and publications maps of the world ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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