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  • Books  (1,166)
  • bic Book Industry Communication::M Medicine  (628)
  • machine learning  (588)
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  • MDPI - Multidisciplinary Digital Publishing Institute  (1,166)
  • 2020-2024  (1,166)
  • 2005-2009
  • 1995-1999
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  • Books  (1,166)
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  • 2020-2024  (1,166)
  • 2005-2009
  • 1995-1999
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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-21
    Description: This book is comprised of important reviews and cutting-edge original research papers concerning electrospun and electrosprayed formulations in drug delivery. Electrospinning and electrospraying have, in recent years, attracted increasing attention in the pharmaceutical sector, with research in the area advancing rapidly. It is now possible to prepare extremely complex systems using multi-fluid processes, and to increase production rates to an industrial scale. Electrospun formulations can be produced under GMP conditions and are in clinical trials. In this volume, we explore a range of topics around electrospinning and electrospraying in controlled drug delivery. Four reviews cover the exciting potential of cyclodextrin-containing fibers and the many potential biomedical applications of electrospun fibers. The use of electrospinning to prepare amorphous systems and improve the dissolution rate and solubility of poorly soluble active ingredients is addressed, and the possibilities of such materials in tissue engineering are comprehensively covered. The six original research papers cover the effect of molecular properties on API release from Eudragit-based electrospun fibers; ferulic acid solid dispersions; electrospun medicines to treat psoriasis; scale up of electrospinning and its use to produce low-dose tablets; transepithelial permeation of drugs released from electrospun fibers, and the possibilities for the synergistic chemophotothermal treatment of cancer.
    Keywords: R5-920 ; RM1-950 ; tissue engineering ; cyclodextrin ; permeability ; poly (vinylpyrrolidone-co-vinyl acetate) ; crystalline ; antibacterial ; drug delivery ; homogenization ; capsaicin ; combination therapy ; high-shear mixing ; cyclodextrin-inclusion complexes ; amorphous ; high-speed electrospinning ; PMVE/MA ; aqueous solubility enhancement ; sieve analysis ; Raman mapping ; Eudragit ; nanofibers ; psoriasis ; PCL ; essential oils ; parameters ; antibiotics ; xanthan gum ; carvedilol ; amorphous composite ; coaxial electrospinning ; insoluble drug ; NIR-triggered drug release ; fast dissolution ; electrospinning ; oral drug delivery ; electrospun nanofibers ; poly-cyclodextrin ; TRPV1 ; gallic acid ; solid dispersion ; photothermal therapy ; drug release ; applications ; bic Book Industry Communication::M Medicine
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  • 2
    Publication Date: 2023-12-21
    Description: Fluid intake has barely been assessed, and hydration status has only rarely been measured in epidemiological studies. This hampers attempts to assess the adequacy of water intake at a population level. However, although guidelines have been established to determine how much water humans require to avoid dehydration and to optimize physical and psychological function, limited data are available on the total water and beverages intake. Therefore, the percentage of population with inadequate water intake is unknown. There is a clear need for studies in different settings around the world that quantify total water and beverage intake and explore associations between types of beverages consumed and energy intake.
    Keywords: R5-920 ; Adequate hydration ; Beverages consumption ; Water and energy intake ; bic Book Industry Communication::M Medicine
    Language: English
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-24
    Description: This book reprints articles from the Special Issue "Advances in Computer-Aided Technology" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of thirteen published articles. This Special Issue belongs to the "Mechatronic and Intelligent Machines" section. Industry 4.0 is characterized by the integration of advanced technologies, such as artificial intelligence, the Internet of Things, and cloud computing, into traditional manufacturing and production processes. CAx (Computer-Aided Systems) systems are a set of computer software tools used in engineering and product design, covering various stages of the product development cycle. Advanced CAx tools combine many different aspects of product lifecycle management (PLM), including design, finite element analysis (FEA), manufacturing, production planning and product. In connection with the transition to Industry 4.0 concepts, the concept of the digital twin comes to the fore, and existing CAx systems must adapt to this trend. The Special Issue deals with a number of research areas, such as: - New trends in CAx systems; Digital manufacturing; Internet of Things in manufacturing; Simulation of production systems and processes; Systems for advanced finite element analysis; Material engineering; Digitization and 3D scanning.
    Keywords: tensor glyph ; golden section ; vector space ; sandwich ; springback ; Vegter yield criterion ; numerical simulation ; PAM-STAMP 2G ; isotropic hardening law ; kinematic hardening law ; bending ; Bauschinger effect ; machine learning ; artificial neural network ; additive manufacturing ; high precision metrology ; CAD ; predictive model ; ship hull structure ; computer-aided design of structure ; database ; function soft block ; gun drill tool ; deep-drilling technology ; optimization ; tool life ; angle ; digital implant impression ; interimplant distance ; intraoral scanner ; trueness ; sewing machine ; needle bar ; floating needle ; electromagnet ; electromagnetic simulation ; noise reduction ; cycloidal gearbox ; friction ; actuator ; servomotor ; permanent magnet synchronous machine ; fixture design ; machining ; sustainable manufacturing ; process innovation ; complex-shape part ; signal processing ; monitoring system ; laser profiler ; surface roughness ; quality assessment ; non-contact method ; vision-based method ; frequency analysis ; abrasive water jet ; wood plastic composite ; natural reinforcement ; knitting machine ; stroke ; drive ; simulation ; cylinder ; dynamic modeling ; load spectrum reconstruction ; fatigue test ; hydraulic excavator ; n/a ; thema EDItEUR::C Language and Linguistics
    Language: English
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-21
    Description: Gluten is the major protein of wheat and other cereals (rye and barley); it is responsible for triggering celiac disease (CD) in genetically predisposed individuals. Until a few years ago, CD was the major (if not the only) well-known gluten-related disorder. However, in recent years, it has become clear that gluten proteins may activate different pathological mechanisms, leading to a wide spectrum of human diseases, including non-celiac gluten sensitivity (NCGS), gluten ataxia, neuro-psychiatric disorders, and many others. Conceptually, we have therefore moved from a Ptolemaic to a Copernican system, i.e., CD is no longer the “center of the universe”, but is just one of the possible worlds of gluten intolerance. Many other gluten planets do indeed exist and deserve the attention of researchers and clinicians alike. Although different gluten-related disorders show specific epidemiological, pathophysiological, and clinical aspects, these conditions share a trigger and treatment: the gluten-free diet. For a very long time, awareness of these disorders has been limited and, therefore, the epidemiology of gluten-related disorders is still a “work in progress”. Current research strives to clarify the boundaries between these entities, their disease mechanisms, and how a proper diagnosis can be implemented.
    Keywords: R5-920 ; gluten-related disorders;celiac disease;gluten intolerance ; bic Book Industry Communication::M Medicine
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: Advancements in digital technologies are reshaping the world of dentistry, from prosthodontics to implant dentistry. Intraoral scanners, facial scanners, 3D printers, and milling machines have revolutionized the clinical approach and operative workflow in daily practice. However, digital dentistry brings several challenges to clinicians due to the rapid evolution of new technologies and the lack of evidence-based guidelines for their correct use. The aim of this Special Issue is to cover the latest advances in the development and application of digital technologies in prosthetic and implant dentistry. We wish to provide both clinicians and researchers with a comprehensive and up-to-date source of information on current trends, limitations, and potential future applications of digital technologies in daily clinical practice.
    Keywords: dental implants ; digital impression ; intraoral scanner ; CAD/CAM materials ; toothbrushing wear ; surface ; roughness ; surface integrity ; alveolar remodeling ; tooth extraction ; intraoral digital scanning ; imaging superimposition ; less traumatic surgery ; socket healing ; implantology ; computer-aided surgery ; image-guided surgery ; zygomatic implants ; navigation system ; dental implant ; bone level ; prospective study ; sub-crestal placement ; emergence profile ; guided surgery ; digital workflow ; stereolithographic surgical guide ; accuracy ; CAD–CAM ; DICOM–STL ; static guided surgery ; clinical study ; intraoral scanners ; digital dentistry ; impression techniques ; full-arch impression ; elderly population ; dimensional measurement accuracy ; implant scan ; operator ; precision ; scan area ; trueness ; occlusion ; overloading ; complications ; implant-supported restorations ; marginal bone loss ; oral implantology ; intraoral scan ; cone-beam computed tomography ; oral surgery ; emergence angle ; retrospective study ; bic Book Industry Communication::M Medicine
    Language: English
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  • 6
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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
    Language: English
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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis. Conventional signal processing is no longer adequate to extract all the relevant information from distorted signals through filtering, estimation, and detection to facilitate decision-making and control actions. Machine learning algorithms, optimization techniques and efficient numerical algorithms, distributed signal processing, machine learning, data-mining statistical signal detection, and estimation may help to solve contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid’s reliability, security, and efficiency; the dynamic optimization of grid operations; demand response; the incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and the integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information, and to transform information into actionable intelligence. This Special Issue includes fifteen articles, authored by international research teams from several countries.
    Keywords: virtual power plant (VPP) ; power quality (PQ) ; global index ; distributed energy resources (DER) ; energy storage systems (ESS) ; power systems ; long-term assessment ; battery energy storage systems (BESS) ; smart grids ; conducted disturbances ; power quality ; supraharmonics ; 2–150 kHz ; Power Line Communications (PLC) ; intentional emission ; non-intentional emission ; mains signalling ; virtual power plant ; data mining ; clustering ; distributed energy resources ; energy storage systems ; short term conditions ; cluster analysis (CA) ; nonlinear loads ; harmonics, cancellation, and attenuation of harmonics ; waveform distortion ; THDi ; low-voltage networks ; optimization techniques ; different batteries ; off-grid microgrid ; integrated renewable energy system ; cluster analysis ; K-means ; agglomerative ; ANFIS ; fuzzy logic ; induction generator ; MPPT ; neural network ; renewable energy ; variable speed WECS ; wind energy conversion system ; wind energy ; frequency estimation ; spectrum interpolation ; power network disturbances ; COVID-19 ; time-varying reproduction number ; social distancing ; load profile ; demographic characteristic ; household energy consumption ; demand-side management ; energy management ; time series ; Hidden Markov Model ; short-term forecast ; sparse signal decomposition ; supervised dictionary learning ; dictionary impulsion ; singular value decomposition ; discrete cosine transform ; discrete Haar transform ; discrete wavelet transform ; transient stability assessment ; home energy management ; binary-coded genetic algorithms ; optimal power scheduling ; demand response ; Data Injection Attack ; machine learning ; critical infrastructure ; smart grid ; water treatment plant ; power system ; 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::KNB Energy industries and utilities
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  • 8
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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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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-03-21
    Description: This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
    Keywords: truck dispatching ; mining equipment uncertainties ; orebody uncertainty ; discrete event simulation ; Q-learning ; grinding circuits ; minerals processing ; random forest ; decision trees ; machine learning ; knowledge discovery ; variable importance ; mineral prospectivity mapping ; random forest algorithm ; epithermal gold ; unstructured data ; blast impact ; empirical model ; mining ; fragmentation ; mine worker fatigue ; random forest model ; health and safety management ; stockpiles ; operational data ; mine-to-mill ; geostatistics ; ore control ; mine optimization ; digital twin ; modes of operation ; geological uncertainty ; multivariate statistics ; partial least squares regression ; oil sands ; bitumen extraction ; bitumen processability ; mine safety and health ; accidents ; narratives ; natural language processing ; random forest classification ; hyperspectral imaging ; multispectral imaging ; dimensionality reduction ; neighbourhood component analysis ; artificial intelligence ; mining exploitation ; masonry buildings ; damage risk analysis ; Bayesian network ; Naive Bayes ; Bayesian Network Structure Learning (BNSL) ; rock type ; mining geology ; bluetooth beacon ; classification and regression tree ; gaussian naïve bayes ; k-nearest neighbors ; support vector machine ; transport route ; transport time ; underground mine ; tactical geometallurgy ; data analytics in mining ; ball mill throughput ; measurement while drilling ; non-additivity ; coal ; petrographic analysis ; macerals ; image analysis ; semantic segmentation ; convolutional neural networks ; point cloud scaling ; fragmentation size analysis ; structure from motion ; 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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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: Third millennium engineering address new challenges in materials sciences and engineering. In particular, the advances in materials engineering combined with the advances in data acquisition, processing and mining as well as artificial intelligence allow for new ways of thinking in designing new materials and products. Additionally, this gives rise to new paradigms in bridging raw material data and processing to the induced properties and performance. This present topical issue is a compilation of contributions on novel ideas and concepts, addressing several key challenges using data and artificial intelligence, such as:- proposing new techniques for data generation and data mining;- proposing new techniques for visualizing, classifying, modeling, extracting knowledge, explaining and certifying data and data-driven models;- processing data to create data-driven models from scratch when other models are absent, too complex or too poor for making valuable predictions;- processing data to enhance existing physic-based models to improve the quality of the prediction capabilities and, at the same time, to enable data to be smarter; and- processing data to create data-driven enrichment of existing models when physics-based models exhibit limits within a hybrid paradigm.
    Keywords: plasticity ; machine learning ; constitutive modeling ; manifold learning ; topological data analysis ; GENERIC ; soft living tissues ; hyperelasticity ; computational modeling ; data-driven mechanics ; TDA ; Code2Vect ; nonlinear regression ; effective properties ; microstructures ; model calibration ; sensitivity analysis ; elasto-visco-plasticity ; Gaussian process ; high-throughput experimentation ; additive manufacturing ; Ti–Mn alloys ; spherical indentation ; statistical analysis ; Gaussian process regression ; nanoporous metals ; open-pore foams ; FE-beam model ; data mining ; mechanical properties ; hardness ; principal component analysis ; structure–property relationship ; microcompression ; nanoindentation ; analytical model ; finite element model ; artificial neural networks ; model correction ; feature engineering ; physics based ; data driven ; laser shock peening ; residual stresses ; data-driven ; multiscale ; nonlinear ; stochastics ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 11
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Epilepsy is one of the most prevalent neurological disorders and is characterized by recurrent seizures resulting from abnormal neuronal excitability in the central nervous system. Despite the availability of thirty-six antiseizure medications, about one-third of patients with epilepsy do not respond to the pharmacological treatment and develop a so-called “pharmaco-resistant epilepsy” or “refractory epilepsy.” Thus, there is an urgent need to develop novel, effective therapies based on novel mechanisms underlying neuronal excitability that leads to seizures. This reprint’s original research papers and review articles highlight unknown mechanisms underlying pharmaco-resistant resistant epilepsy, epileptogenesis, and seizure suppression.
    Keywords: 3CAI ; GRIA1 ; GRIA2 ; intractable epilepsy ; PICK1 ; protein kinase C ; pericytes ; mural cells ; cytokine ; blood-brain barrier ; neuroinflammation ; 3-phosphoinositide-dependent protein kinase-1 ; AKT ; cyclosporin A ; GluA1 ; GluR1 ; PDK1 ; refractory seizure ; temporal lobe epilepsy ; hippocampus ; 4-aminopyridine ; epilepsy model ; long-term potentiation ; AMPA receptor ; audiogenic epilepsy ; rodents ; fear reaction ; behavior genetics ; c-Fos ; early gene activation ; epileptogenesis ; lipopolysaccharide ; pentylenetetrazole ; post-traumatic epilepsy ; seizure susceptibility ; traumatic brain injury ; epilepsy ; ghrelin ; ghrelin receptor ; anxiety ; TRPV1 channels ; neuronal activity ; neuropsychiatric comorbidity ; immunofluorescence ; audiogenic kindling ; acoustically evoked seizures ; EACT ; generalized tonic-clonic seizures ; inherited epilepsy ; TMEM1A channels ; wild running seizures ; astrocyte ; ML365 ; pharmacoresistant epilepsy ; cortical atrophy ; hippocampal atrophy ; intracerebral electrode ; magnetic resonance imaging ; posttraumatic epilepsy ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
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  • 12
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The eradication of vector-borne diseases is threatened by the limited range of available insecticides, leading, inevitably, to the development of resistance. This is particularly concerning for malaria control, which relies heavily on insecticide-treated nets (ITNs) and indoor residual sprays (IRS). New chemistries are being developed, and innovative deployment of insecticides may play a role in overcoming resistance, either through new types of tools or new means of distribution. A variety of novel product types and vector control strategies are under development and evaluation, which is to be celebrated, but a strong evidence base is needed to guide effective operational deployment decisions. Novel approaches should be supported by robust data collected using appropriate and validated methods to monitor efficacy, durability, and any emerging resistance. This reprint presents original research into developing and characterizing new vector control products, as well as understanding and monitoring insecticide resistance. Review articles explore the impact of insecticide resistance and offer guidance on insecticide choice in the face of pyrethroid resistance. Consensus methodologies are presented, in the form of standard operating procedures (SOPs) designed to be adopted and used to generate reproducible data that can be compared and interpreted across and between studies. It is hoped that this collection of articles offers inspiration and guidance on how consistent data can be generated to inform more effective development, evaluation, and use of new and existing vector control tools.
    Keywords: prallethrin ; insecticide ; spatial treatment ; mosquito fitness ; protection ; pyrethroids ; Aedes albopictus ; Culex pipiens ; life tables ; mosquito ; bite-proof garment ; model ; textile ; non-insecticidal ; physical barrier ; insecticide selection ; out-crossing ; strain authentication ; laboratory screening ; pyrethroid ; pyrethroid resistance ; insecticide resistance ; insecticide resistance management ; vector control ; malaria ; malaria control ; Anopheles ; host-seeking behavior ; insecticide exposure ; pathogen transmission ; Aedes aegypti ; Anopheles gambiae ; ATSB ; Culex quinquefasciatus ; Iroquois ; RNAi ; Saccharomyces cerevisiae ; yeast ; Anopheles mosquito ; fertility ; ovary development ; pyriproxyfen (PPF) ; side-effects ; machine learning ; image classification ; automated identification ; convolutional neural network ; insecticide-treated net (ITN) ; PBO ITN ; synergist ITN ; dual-AI ITN ; insecticide resistance management (IRM) ; method validation ; durability monitoring ; bioinsecticide ; disease transmission ; insecticide-resistance ; mosquito-borne disease ; mosquito control ; natural compounds ; phytochemical ; malaria vector ; insecticide treated nets ; cytochrome P450s ; kdr ; cuticular resistance ; deltamethrin ; imidacloprid ; bifenthrin ; β-cyfluthrin ; etofenprox ; α-cypermethrin ; λ-cyhalothrin ; thiacloprid ; mosquitoes ; Attractive Toxic Sugar Bait (ATSB) ; Attractive Targeted Sugar Bait (ATSB) ; diagnostic bioassay ; resistance monitoring ; insecticide-treated nets (ITN) ; strain characterisation ; method development ; product evaluation ; quality control (QC) ; dual active ingredients (dual-AI) ; bioefficacy ; IRS ; application technology ; broflanilide ; clothianidin ; pirimiphos-methyl ; WHO tube ; WHO tunnel test ; ITNs ; interceptor ; interceptor G2 ; membrane ; human arm ; rabbit ; bioassay ; bio-efficacy ; 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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  • 13
    Publication Date: 2024-03-27
    Description: This Special Issue provides an insight, collated from 26 articles, focusing on various aspects of the Fit-For-Purpose Land Administration (FFPLA) concept and its application. It presents some influential and innovative trends and recommendations for designing, implementing, maintaining and further developing Fit-For-Purpose solutions for providing secure land rights at scale. The first group of 14 articles is published in Volume One and discusses various conceptual innovations related to spatial, legal and institutional aspects and its wider applications within land use management. The second group of 12 articles is published in Volume Two and focuses on case studies from various countries throughout the world, providing evidence and lessons learned from the FFPLA implementation process.
    Keywords: complete cadastre ; legal element ; fixing boundary ; eligible landowner ; agreement ; boundary marker ; fit-for-purpose land administration (FFP LA) ; violent conflict ; United Nations ; extra-legal ; transitional justice ; peace building ; land governance ; power relations ; securing land rights ; land registration ; development impacts ; fit-for-purpose land administration ; land administration ; decentralization ; India ; fit-for-purpose ; institutions ; governance ; politics ; Amazon ; deforestation ; Fit-For-Purpose land administration ; participatory mapping ; indigenous land conflict ; Cumaribo ; Colombia ; community-based land adjudication ; components of adjudication ; land tenure ; land rights ; good practices ; updating land records ; systematic land registration ; unconventional approach ; case study ; Benin ; cadaster ; land administration domain model ; LADM ; cadastre ; FFPLA ; customary tenure ; land inventory ; land management ; mobile-based applications ; pro-poor ; land surveying ; tenure security ; land rights and tenure ; fit-for-purpose approach ; human rights ; design science research ; design thinking ; fit for purpose ; spatial data quality ; spatial data quality assurance ; maintenance ; update ; upgrade ; upkeep ; renewal ; data quality ; spatial framework ; STDM ; technology ; UAV ; feature extraction ; rapid urbanization ; climate change ; pandemic ; urban resilience ; spatial ; legal ; and institutional frameworks ; land tenure security ; pro-poor land recordation ; land governance reform ; cost effectiveness ; innovative technology ; case studies ; Uganda ; customary land tenure ; land recordation tools ; semantic technologies ; land information system ; fit-for-purpose land management ; aerial and street level imagery ; machine learning ; integrated land programs ; land policy ; pilot study ; informal settlements ; urban development ; Brazil ; community-based crowdsourcing ; SiGIT ; Ecuador ; land and resources rights ; public-private partnerships ; corporate social responsibility ; poverty reduction ; business driven solutions ; social enterprises ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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  • 14
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-21
    Description: Development of strategies to assist the movement of poorly permeable molecules across biological barriers has long been the goal of drug delivery science. In the last three decades, there has been an exponential increase in advanced drug delivery systems that aim to address this issue. However, most proprietary delivery technologies that have progressed to clinical development are based on permeation enhancers (PEs) that have a history of safe use in man. This Special Issue entitled “Transmucosal Absorption Enhancers in the Drug Delivery Field” aims to present the current state-of-the-art in the application of PEs to improve drug absorption. Emphasis is placed on identification of novel permeation enhancers, mechanisms of barrier alteration, physicochemical properties of PEs that contribute to optimal enhancement action, new delivery models to assess PEs, studies assessing safety of PEs, approaches to assist translation of PEs into effective oral, nasal, ocular and vaginal dosage forms and combining PEs with other delivery strategies.
    Keywords: R5-920 ; RM1-950 ; chitosan ; intestinal epithelial cells ; ocular delivery ; amphiphilic polymers ; cornea ; tight junction modulator ; cyclodextrin ; permeability ; gemini surfactant ; transferrin ; compound 48/80 ; epithelial permeability ; cervicovaginal tumors ; nanoparticles ; confocal laser scanning microscopy ; safety ; formulation ; salcaprozate sodium ; intestinal absorption ; FITC-dextran ; curcumin ; block copolymers ; nasal vaccination ; whole leaf ; brush border ; ocular drug delivery ; vaccine adjuvant ; nanoparticle ; nasal delivery ; efflux ; permeation enhancers ; absorption enhancers ; nose to brain delivery ; small intestine ; epithelium ; CNS disorders ; absorption modifying excipients ; insulin ; absorption enhancer ; gel ; intestinal delivery ; thermogel system ; Caco-2 ; biocompatibility studies ; absorption enhancement ; man ; PN159 ; poorly absorbed drug ; tryptophan ; tight junction ; oral macromolecule delivery ; penetration enhancer ; intestinal permeation enhancers ; nanocrystals ; simvastatin ; nanomedicine ; enterocyte ; N-dodecyl-?-D-maltoside (DDM) ; cell-penetrating peptide ; quaternization ; KLAL ; nasal ; nasal permeability ; transmucosal drug delivery ; Caco-2 cells ; mast cell activator ; penetration enhancers ; drug delivery ; nose-to-brain ; bioenhancer ; polymeric micelles ; mucoadhesion ; cell-penetrating peptide (CPP) ; simulated intestinal fluid ; vaginal delivery ; nasal formulation ; pharmacokinetic interaction ; sodium caprate ; clinical trial ; transmucosal permeation ; drug absorption enhancer ; sugar-based surfactants ; nanocapsules ; imatinib ; teriparatide ; osteoporosis ; hydrophobization ; F-actin ; combined microsphere ; transepithelial electrical resistance ; oral delivery ; ocular conditions ; metabolism ; antimicrobial peptide ; permeation enhancer ; drug administration ; antiepileptic drug ; amino acid ; in vivo studies ; sodium cholate (NaC) ; epithelial transport ; preclinical ; nose to brain transport ; pharmacokinetics ; chitosan derivatives ; ophthalmology ; tight junctions ; sheep ; cationic functionalization ; GLP-1 ; pulmonary ; and liposome ; cytochrome P450 ; claudin ; P-glycoprotein ; in situ hydrogel ; mucoadhesiveness ; PTH 1-34 ; Aloe vera ; oral peptides ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.
    Keywords: self-healing grid ; machine-learning ; feature extraction ; event detection ; optimization techniques ; manta ray foraging optimization algorithm ; multi-objective function ; radial networks ; optimal power flow ; automatic P2P energy trading ; Markov decision process ; deep reinforcement learning ; deep Q-network ; long short-term delayed reward ; inter-area oscillations ; modal analysis ; reduced order modeling ; dynamic mode decomposition ; machine learning ; artificial neural networks ; steady-state security assessment ; situation awareness ; cellular computational networks ; load flow prediction ; contingency ; fuzzy system ; change detection ; data analytics ; data mining ; filtering ; optimization ; power quality ; signal processing ; total variation smoothing ; 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: 2022-05-06
    Description: In recent years, new and emerging digital technologies applied to food science have been gaining attention and increased interest from researchers and the food/beverage industries. In particular, those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this Special Issue (SI) is dedicated to novel technology based on sensor technology and machine/deep learning modeling strategies to implement artificial intelligence (AI) into food and beverage production and for consumer assessment. This SI published quality papers from researchers in Australia, New Zealand, the United States, Spain, and Mexico, including food and beverage products, such as grapes and wine, chocolate, honey, whiskey, avocado pulp, and a variety of other food products.
    Keywords: sensory ; physicochemical measurements ; artificial neural networks ; near infra-red spectroscopy ; wine quality ; machine learning modeling ; weather ; consumer acceptance prediction ; data fusion ; emotion recognition ; facial expression recognition ; galvanic skin response ; machine learning ; neural networks ; sensory analysis ; avocado ; cultivars ; preference mapping ; sensory evaluation ; sensory descriptive analysis ; consumer science ; unifloral honeys ; botanical origin ; physicochemical parameters ; classification ; natural language processing ; deep learning ; sensory science ; flavor lexicon ; long short-term memory ; 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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  • 17
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This book mainly deals with recent advances in biomedical sensing and imaging. More recently, wearable/smart biosensors and devices, which facilitate diagnostics in a non-clinical setting, have become a hot topic. Combined with machine learning and artificial intelligence, they could revolutionize the biomedical diagnostic field. The aim of this book is to provide a research forum in biomedical sensing and imaging and extend the scientific frontier of this very important and significant biomedical endeavor.
    Keywords: finite element method ; thin shell model ; β dispersion ; Maxwell–Wagner effect ; bio-impedance spectroscopy ; multisensory ; electromyography ; pattern recognition ; rehabilitation ; blood coagulation ; image sensing ; image classification ; electrical impedance tomography ; frequency difference ; time difference ; lung imaging ; electromagnetic detection and biosensors ; electromagnetic biological theory ; biomedical application ; frequency ; machine learning ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Currently, cancer is the second leading cause of death worldwide and is the most complex and challenging disease known to humankind. Due to the complex underlying mechanisms of tumorigenesis and tumor metastasis, as well as the intrinsic limitations of conventional cancer therapies, the effective treatment of cancer remains a great challenge. Novel therapeutic strategies with superior anticancer ability urgently need to be discovered. In recent years, nano-drug delivery systems have been extensively investigated and applied as alternatives to conventional cancer treatments. Cancer nanomedicines aim to achieve the targeted delivery of chemotherapeutic drugs to the tumor site, utilizing strategies such as passive targeting, active targeting and stimuli-triggered drug release, while simultaneously decreasing drug accumulation in normal tissues, which together lead to improved therapeutic efficacy and reduced side effects. Currently, several cancer nanomedicines are in regular use, and several others are in various stages of development.This Special Issue will highlight recent progress in the development of novel nanomedicines and targeted drug delivery systems for cancer therapy.
    Keywords: graphene quantum dot ; targeted drug delivery ; photothermal therapy ; chemo-therapy ; polymeric prodrug ; theranostic nanocomplex ; pH-triggering releasing ; magnetic targeting ; magnetic hyperthermia ; magnetic resonance imaging ; docetaxel ; adenosine receptors ; PLGA ; nanoparticles ; lung cancer ; Notch signaling ; RBPJ protein ; drug repurposing ; fidaxomicin ; acarbose ; schaftoside ; breast cancer ; experimental skin cancer ; entrapment efficacy ; ethosomes ; metformin ; in vitro permeation ; zeta potential ; sesamol ; albumin nanoparticles ; doxorubicin ; oxidative stress ; antioxidants ; tumor-derived membrane vesicles ; cancer therapy ; tumor vaccine ; personalized immunotherapy ; low-density lipoprotein ; nanoparticle ; tumor microenvironment-responsive ; magnetic nanofluid ; improved magnetic resonance imaging ; neutral-responsive Fenton reaction ; enhanced chemodynamic therapy ; brain targeting ; folate receptor ; glioma cancer ; erlotinib ; blood–brain barrier ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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  • 19
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: In this Special Issue, recent advancements in the field of pediatric tumors are discussed, and novel prognostic markers are critically appraised. Greater understanding of the heterogeneity of pediatric cancers will ultimately lead to new therapeutic strategies with the potential to provide new prospects for precision medicine in pediatric oncology.
    Keywords: undernutrition ; obesity ; nutritional status ; childhood cancer ; overall survival ; event-free survival ; relapse ; treatment-related toxicity ; review ; sarcoma botryoides ; fertility-sparing surgery ; embryonal rhabdomyosarcoma ; genital tract ; prognosis ; treatment ; local debulking ; neoadjuvant chemotherapy ; radiation ; ovarian cancer ; adolescents ; diagnosis ; therapy ; guidelines ; children ; papillary thyroid cancer ; proto-oncogene B-raf gene (BRAF) ; craniopharyngioma ; recurrence ; risk factors ; youth ; acute lymphoblastic leukemia (ALL) ; child ; genetics ; CDKN2A/2B deletions ; fluorescent in situ hybridization (FISH) ; multiple-ligation probe amplification (MLPA) ; copy-number alterations (CNAs) ; risk stratification ; minimal residual disease (MRD) ; cardiotoxicity ; chemotherapeutics agents ; biomarkers ; omics technology ; medulloblastoma ; tumor ; histologic ; pediatrics ; micro-RNAs ; non-coding RNAs ; molecular subgroup ; stratification ; acute lymphoblastic leukemia ; proteomics ; oncology ; chemotherapy ; cardiac function tests ; 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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  • 20
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective.
    Keywords: TA1-2040 ; T1-995 ; similarity measure ; swarm-robotics ; drag-based system ; PID algorithm ; human–robot interaction ; behaviour dynamics ; state constraints ; fair optimisation ; micro mobile robot ; robot ; actuators ; high-gain observer ; turning model LIP ; space robot ; manipulation action sequences ; subgoal graphs ; remotely operated vehicle ; constrained motion ; joint limit avoidance ; curvilinear obstacle ; rehabilitation system ; stability criterion ; system design ; quad-tilt rotor ; iterative learning ; spiral curve ; cable detection ; SEA ; douglas–peuker polygonal approximation ; predictable trajectory planning ; ATEX ; obstacle avoidance system ; kinematic singularity ; collision avoidance ; biologically-inspired ; jumping robot ; differential wheeled robot ; design and modeling ; control efficacy ; robotics ; extremum-seeking ; object-oriented ; non-holonomic mobile robot ; magneto-rheological fluids ; rendezvous consensus ; altitude controller ; master-slave ; switching control ; deep reinforcement learning ; mechanism ; expansion logic strategy ; negative buoyancy ; action generation ; radial basis function neural networks ; unmanned aerial vehicles ; extend procedure ; glass façade cleaning robot ; convolutional neural network ; climbing robot ; micro air vehicle ; car-like kinematics ; variable speed ; machine learning ; dynamical model ; transportation ; geodesic ; unmanned surface vessel ; medical devices ; stopper ; extended state observer (ESO) ; high efficiency ; object mapping ; multi-objective optimization ; hybrid robot ; robot learning ; auto-tuning ; cable disturbance modeling ; manipulation planning ; pesticide application ; high-speed target ; sparse pose adjustment (SPA) ; service robot ; lumped parameter method ; Geometric Algebra ; dynamic coupling analysis ; Thau observer ; tri-tilt-rotor ; industrial robotic manipulator ; hardware-in-the-loop simulation ; robotic drilling ; muscle activities ; small size ; chameleon ; continuous hopping ; wall climbing robot ; hover mode ; 3D-SLAM ; curvature constraints ; PSO ; drilling end-effector ; Rodrigues parameters ; gait adaptation ; static environments ; position/force cooperative control ; snake-like robot ; shape-fitting ; powered exoskeleton ; input saturation ; kinematic identification ; methane ; human–machine interactive navigation ; q-learning ; path following ; hopping robot ; mobile manipulation ; high step-up ratio ; actuatorless ; monocular vision ; stability analysis ; compact driving unit ; snake robot ; non-holonomic robot ; curvature constraint ; phase-shifting ; dialytic elimination ; gesture recognition ; snake robots ; series elastic actuator ; flapping ; servo valve ; motion camouflage control ; biomimetic robot ; minimally invasive surgery robot ; centralized architecture ; trajectory planning ; computing time ; adaptive control law ; kinematics ; facial and gender recognition ; single actuator ; victim-detection ; shape memory alloys ; undiscovered sensor values ; discomfort ; Differential Evolution ; numerical evaluation ; quadruped robot ; coverage path planning ; localization ; MPC ; n/a ; fault diagnosis ; neural networks ; disturbance-rejection control ; sample gathering problem ; cart ; bio-inspired robot ; opposite angle-based exact cell decomposition ; optimization ; safety ; goal exchange ; hierarchical planning ; ocean current ; robot motion ; nonlinear differentiator ; mapping ; finite-time currents observer ; Newton iteration ; inverse kinematics ; deposition uniformity ; spatial pyramid pooling ; hierarchical path planning ; end effector ; head-raising ; fault recovery ; LOS ; path tracking ; non-inertial reference frame ; step climbing ; obstacle avoidance ; sliding mode control ; symmetrical adaptive variable impedance ; lane change ; quadcopter UAV ; singularity analysis ; biped mechanism ; fault-tolerant control ; dynamic neural networks ; mobile robots ; data association ; UAV ; enemy avoidance ; reinforcement learning ; grip optimization ; safety recovery mechanism ; exoskeleton ; dynamic environment ; uncertain environments ; hybrid bionic robot ; potential field ; robot navigation ; cleaning robot ; unmanned aerial vehicle ; non-singular fast-terminal sliding-mode control ; contact planning ; Lyapunov-like function ; piezoelectric actuator ; transition mode ; non-prehensile manipulation ; multiple mobile robots ; Tetris-inspired ; real-time action recognition ; integral line-of-sight ; topological map ; alpine ski ; target tracking ; closed-loop detection ; working efficiency ; mathematical modeling ; curve fitting ; force control ; biped robots ; NSGA-II ; mobile robot ; load carriage ; prescription map translation ; artificial fish swarm algorithm ; Q-networks ; self-reconfigurable robot ; G3-continuity ; autonomous vehicle ; loop closure detection ; excellent driver model ; robots ; graph representation ; regional growth ; target assignment ; evolutionary operators ; intelligent mobile robot ; motion sensor ; exploration ; droplets penetrability ; dynamic uncertainty ; simultaneous localization and mapping (SLAM) ; area decomposition ; multi-criteria decision making ; 4WS4WD vehicle ; biped climbing robots ; skiing robot ; ROS ; decision making ; smart materials ; centrifugal force ; missile control system ; formation of robots ; electro-rheological fluids ; pneumatics ; variable spray ; inertial measurement unit (IMU) ; Robot Operating System ; trajectory interpolation ; formation control ; immersion and invariance ; dragonfly ; parallel navigation ; harmonic potential field ; pallet transportation ; mobile robot navigation ; negative-buoyancy ; grip planning ; manipulator ; position control ; external disturbance ; legged robot ; passive skiing turn ; autonomous underwater vehicle (AUV) ; gait cycle ; path planning ; sliding mode observer ; dynamic gait ; self-learning ; polyomino tiling theory ; coalmine ; 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: 2022-03-21
    Description: Recently, the development of polymeric materials for biomedical applications has advanced significantly. Polymeric materials are favored in the development of therapeutic devices, including temporary implants and three-dimensional scaffolds for tissue engineering and in vitro disease modelling.Further advancements have also occurred in the utilization of polymeric materials for pharmacological applications, such as delivery vehicles for drug release.We would like to invite you to contribute to this Special Issue. Research topics of interest include, but are not limited to, recent advances related to 3D cell culture, biomaterials, tissue engineering, disease modelling, hydrogel, organoids, drug discovery, bioimaging, cardio-renal, metabolic disease, and stem cell biology.
    Keywords: hydrogels ; crosslinking ; degradable ; gamma (γ)-irradiation ; sterilization ; sterility assurance ; antibacterial ability ; jojoba ; Simmondsia ; chemistry ; liquid wax ; biology ; toxicity ; pharmaceutical/industrial uses ; articular cartilage ; mechanical properties ; tribological properties ; antibacterial ; pathogens ; infectious diseases ; silver nanoparticles ; wound care ; wound dressings ; polymers ; gelatin ; nanofibers ; sponges ; Ag/RGO nanocomposites ; green preparation ; anticancer performance ; potential mechanism ; oxidative stress ; hydrogel ; poloxamer 407 polymer ; poloxamer 407 gel ; transungual drug delivery ; onychomycosis ; ungual penetration enhancer ; Terbinafine ; diafiltration ; SAXS ; aromatic interactions ; poly(sodium 4-styrenesulfonate) ; chlorpheniramine ; polyelectrolyte ; aggregation ; coaxial electrospinning ; extracellular matrix ; myelination ; oligodendrocyte ; water-soluble materials ; orthokeratology lens ; protein deposition ; optical characteristics ; rubbing ; chitosan ; kenaf ; nanocrystalline cellulose ; platelet lysate ; wound healing ; carbohydrate polymers blends ; functional food ; antioxidant activity ; co-microencapsulation ; spray drying ; bacteria viability (Bacillus clausii) ; probiotics ; itraconazole ; self-emulsifying nanovesicles ; transungual ; anti-fungal ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: This e-book summarises the latest advances in the rheumatic diseases with a focus on the recent efforts of vascular and pulmonary manifestations and anticipate the new and future directions of these research topic. Rheumatic diseases represent a heterogeneous group of severe autoimmune disorders. The present Special Issue aims to provide an overview of the complexity of vascular and pulmonary manifestations of rheumatologic diseases and helps in knowledge to manage them. The eleven published articles here collected underline the complexity of rheumatic diseases and the difficult to treated them. The manuscripts provide an overview of the pathophysiology and current treatment regimes of these disorders, highlighting tools which assist with diagnosis, risk stratification and therapy. Finally, we underline the importance of a multidisciplinary team working using the skills of clinicians, radiologists, and pathologists.
    Keywords: systemic sclerosis ; scleroderma ; interstitial lung disease ; pulmonary function tests ; high-resolution computed tomography ; rheumatic ; pulmonary arterial hypertension ; targeted therapy ; systemic lupus erythematosus ; airway disease ; shrinking lung syndrome ; diffuse alveolar hemorrhage ; pleurisy ; infection ; cardiopulmonary exercise testing ; osteopontin ; connective tissue diseases ; pulmonary involvement ; microvascular involvement ; nailfold capillaroscopy ; rheumatoid arthritis ; interstitial lung diseases ; CX3CL1/fractalkine ; CX3CR1 ; M1 macrophage ; M2 macrophage ; SKG mice ; heart failure ; 3D-echocardiography ; ventricular function ; outcome ; ventricular-arterial coupling ; antifibrotic agents ; COVID-19 ; IPF ; progressive fibrosing ILD ; UIP ; pharmacological interactions ; fibromyalgia ; gastrointestinal symptoms ; probiotic ; VSL#3® ; efficacy ; tolerability ; polymyalgia rheumatica ; vagus nerve stimulation ; inflammatory response ; PMR ; t-vns ; 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: 2024-03-27
    Description: Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy, public administrations, governments, and research bodies are promoting the construction of reliable and robust datasets to pursue policies coherent with the Sustainable Development Goals, as well as to allow citizens to make informed choices. Energy engineers and planners must provide the simplest and most robust tools to collect, process, and analyze data in order to offer solid data-based evidence for future projections in building, district, and regional systems planning. This Special Issue aims at providing the state-of-the-art on open-energy data analytics; its availability in the different contexts, i.e., country peculiarities; and its availability at different scales, i.e., building, district, and regional for data-aware planning and policy-making. For all the aforementioned reasons, we encourage researchers to share their original works on the field of open data and energy analytics. Topics of primary interest include but are not limited to the following: 1. Open data and energy sustainability; 2. Open data science and energy planning; 3. Open science and open governance for sustainable development goals; 4. Key performance indicators of data-aware energy modelling, planning, and policy; 5. Energy, water, and sustainability database for building, district, and regional systems; 6. Best practices and case studies.
    Keywords: data envelopment analysis ; Kohonen self-organizing maps ; factor analysis ; multiple regression ; energy efficiency ; social media ; energy-consuming activities ; energy consumption ; machine learning ; ontology ; energy performance certificate ; heating energy demand ; buildings ; data mining ; classification ; regression ; decision tree ; support vector machine ; random forest ; artificial neural network ; open data ; electrification modelling ; Malawi ; OnSSET ; MESSAGEix ; reproducibility ; collaborative work ; open modelling and data ; data-handling ; integrated assessment modelling ; data pre- and post-processing ; space heating ; domestic hot water ; market assessment ; EU28 ; district heating ; data analytics ; big data ; forecasting ; energy ; polygeneration ; clustering ; kNN ; pattern recognition ; heating ; building stock ; heat map ; spatial analysis ; heat density map ; building performance simulation ; parametric modelling ; energy management ; model calibration ; Passive House ; energy planning ; energy potential mapping ; urban energy atlas ; urban energy transition ; energy data ; data-aware planning ; spatial planning ; open data analytics ; smart cities ; open energy governance ; urban database ; energy mapping ; building dataset ; energy modelling ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This Special Issue includes 14 contributions, with 2 review contributions and 12 research contributions. The review contributions provide a survey with an overview of the state of the art in detecting and projecting cyber-attack scenarios, and the review of a specific application area, the safety of autonomous haulage systems in the mining environment related to both cybersecurity and communication. 10 research contributions are addressing the area of advanced services for intrusion detection systems: (a) the use of different machine learning models depending on the specific scenarios and datasets; (b) the use of deep learning techniques for the detection of zero-day attacks; (c) a proposal of an integrated scalable framework aimed at efficiently detecting anomalous events on large amounts of unlabeled data logs; (d) a spatiotemporal characterization of cyber-attacks for detecting such attacks; (e) a two-stage intrusion detection system for industrial control networks; (f) a chatbot for detecting online sex offenders, based on an artificial conversational entity (ACE); and (g) an open-source platform for manipulating both streaming and archived network flow data in real time. This Special Issue also contains two protection-related research contributions, including: (a) a countermeasure for on–off web defacement attacks and (b) the evaluation of multi-path routing as a protection feature against network attacks and failures.
    Keywords: cybersecurity ; machine learning ; intrusion detection ; cybersecurity awareness&nbsp ; 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: Robotics and control are both research and application domains that have been frequently engineered through the use of interdisciplinary approaches like cybernetics. Cognition is a particular concept of this approach, abstracted from the context of living organisms to that of artificial devices, and is concerned with knowledge acquisition and understanding through thought, experience, and the senses. Cognitive robotics and control refer to knowledge processing as much as knowledge generation from problem understanding, leading to special forms of architectures that enable systems to behave in an autonomous way. The main aim of this book is to highlight emerging applications and address recent breakthroughs in the domain of cognitive robotics and control and related areas. Procedures, algorithms, architectures, and implementations for reasoning, problem solving, or decision making are considered in the domain of robotics and control.
    Keywords: initial trajectory ; trajectory optimization ; Bézier surface ; robotics ; open FPGAs ; robot control ; surgical robotics ; human–machine interaction ; autonomous guidance ; low-cost platform ; FPGA ; S-curve ; motion control ; SoC ; telemanipulation ; haptics ; machine learning ; gesture recognition ; upper limb rehabilitation robot ; particle swam optimization (PSO) ; artificial bee colony (ABC) ; Ziegler Nichols ; Maximum sensitivity ; ontology ; robot task planning ; knowledge base ; knowledge representation ; industrial collaborative robots ; shared robotic tasks ; physical human–robot interaction ; human intention recognition ; time series classification ; n/a ; 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: 2022-06-21
    Description: With the development of analytical instruments, the academic system has become more complicated, producing new journals one after another. Therefore, it became much important to clarify what is original of “Medicines”. As the name Medicines indicates, it includes science and practice of caring for a patient and managing the diagnosis, prognosis, prevention, treatment or palliation of their injury or disease. Therefore, Medicines differs from other journals with similar title in that it covers a wide range of fields, from traditional medicine to rapidly developing molecular-targeted drugs, focusing on their pharmacological effects, structure–activity relationships, metabolic pathways, gene expression, using cultured cells, animals, and clinical trials. Most parts of this Special Issue were written by our editorial board members, who described the research topics and how they are engaged in their field of research. All of these articles are their life-long story. We collected a total number of 22 original works by basic researchers and clinical doctors. We hope that readers can get a chance to know the current status of diverse fields of medicines, and what your most important research themes are after reading these articles.
    Keywords: Hedychium ; traditional medicine ; coronarin D ; villosin ; anti-acetylcholinesterase ; antidiabetic ; anti-inflammatory ; antimicrobial ; antioxidant ; antitumor ; Genista tridentata ; Pterospartum tridentatum ; isoflavones ; flavonols ; genistein ; biochanin A ; rutin ; daidzein ; inflammatory bowel disease ; Crohn’s disease ; ulcerative colitis ; extra-intestinal manifestations ; orofacial granulomatosis ; tag-like lesions ; cobblestoning ; mucogingivitis ; lip swelling ; aphthous stomatitis ; Angelicae Sinensis Radix ; Danggui ; granules ; herb ; multivariate analysis ; ultra-performance liquid chromatography ; Tai Chi ; qigong ; immune system ; immunity ; inflammation ; telemedicine ; remote monitoring ; GER-e-TEC ; elderly patient ; artificial intelligence ; geriatric syndromes ; detection of the precursory signs of decompensation of geriatric syndromes ; renal cell cancer ; genomic landscape ; targeted therapy ; tumor evolution ; tumor heterogeneity ; allergic rhinitis ; quercetin ; human CD4+ T cells ; Th1/Th2 cytokine balance ; modulation ; in vitro ; intravascular catheter ; CRBSI ; biofilm ; CVC ; antifouling ; chromone ; tumor specificity ; QSAR analysis ; apoptosis ; cell cycle analysis ; contrast-enhanced ultrasound ; hepatocellular carcinoma ; LI-RADS ; chronic liver disease ; granuloma annulare ; granulomatous disorders of the skin ; inflammatory skin conditions ; medical dermatology ; biliary tract cancer ; cholangiocarcinoma ; PARP ; BRCA ; olaparib ; rucaparib ; liver cancer ; pancreatic adenocarcinoma ; pancreatic cancer ; sarcoidosis ; superior vena cava syndrome ; venous thrombosis ; RUCAM ; Roussel Uclaf Causality Assessment Method ; diagnostic algorithm ; iDILI ; iDrug induced liver injury ; DILI ; HILI ; herb induced liver injury ; Stachys L. ; traditional uses ; pharmacological activities ; phytochemicals ; bioactive compounds ; Kampo formulae ; alkaline extract of Sasa sp. ; pine cone extract ; povidone-iodine ; HSV ; HIV ; loss of infectivity ; solubilization method ; diaphragmatic breathing ; abdominal breathing ; breathing exercise ; systematic review ; randomized controlled trial ; respiratory function ; auricular acupuncture ; preoperative anxiety ; protocol ; randomized controlled trials ; meta-analysis ; boiogito ; knee osteoarthritis ; rat ; Yokukansan ; fentanyl ; transient receptor potential ankyrin 1 (TRPA1) channel ; phosphorylated extracellular signal-regulated kinase (pERK) ; whole-cell patch-clamp recording ; herbal medicine ; calcium metabolism ; bone metabolism ; protease ; osteoclast ; macrophage ; RANKL ; LPS ; TLR4 ; TREM2 ; bic Book Industry Communication::M Medicine
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  • 27
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Personalised medicine is the next step in healthcare, especially when applied to genetically diverse diseases such as cancers. Naturally, a host of methods need to evolve alongside this, in order to allow the practice and implementation of individual treatment regimens. One of the major tasks for the development of personalised treatment of cancer is the identification and validation of a comprehensive, robust, and reliable panel of biomarkers that guide the clinicians to provide the best treatment to patients. This is indeed important with regards to radiotherapy; not only do biomarkers allow for the assessment of treatability, tumour response, and the radiosensitivity of healthy tissue of the treated patient. Furthermore, biomarkers should allow for the evaluation of the risks of developing adverse late effects as a result of radiotherapy such as second cancers and non-cancer effects, for example cardiovascular injury and cataract formation. Knowledge of all of these factors would allow for the development of a tailored radiation therapy regime. This Special Issue of the Journal of Personalised Medicine covers the topic of Radiation Response Biomarkers in the context of individualised cancer treatments, and offers an insight into some of the further evolution of radiation response biomarkers, their usefulness in guiding clinicians, and their application in radiation therapy.
    Keywords: carbon-ion radiotherapy ; head-and-neck tumors ; squamous cell carcinoma ; radiosensitivity ; relative biological effectiveness ; lung cancer ; radiotherapy ; radiotherapy monitoring ; radiation-induced lung injury ; RILI ; pneumonitis ; radiation-induced lung fibrosis ; RILF ; circulating biomarkers ; microRNA ; micronuclei ; uterine cervical cancer ; cGAS ; STING ; abscopal effect ; immunotherapy ; PBMCS ; micronucleus assay ; biological dosimetry ; human blood ; genotoxicity tests ; ionizing radiation ; biomarkers ; dicentric assay ; gamma H2AX foci assay ; health surveillance analyses ; clonogenic assays ; methods ; plating ; cancer ; radiation ; head and neck cancer ; exosomes ; serum ; metabolomics ; GC/MS ; biodosimetry ; chromosome aberrations ; normal tissue toxicity ; predictive tests ; normal tissue ; biomarker ; protein ; immune infiltrate ; stroma ; tumour microenvironment ; proteomics ; telomeres ; chromosomal instability ; inversions ; prostate cancer ; IMRT ; machine learning ; individual radiosensitivity ; late effects ; personalized medicine ; liquid biopsy ; circulating tumour cells ; extracellular vesicles ; microRNAs ; immune system ; inflammation ; n/a
    Language: English
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: In recent years, the implementation of sustainable concrete systems has been a topic of great interest in the field of construction engineering worldwide, as a result of the large and rapid increase in carbon emissions and environmental problems resulting from traditional concrete production and industry. For example, the uses of supplementary cementitious materials, geopolymer binder, recycled aggregate and industrial/agricultural wastes in concrete are all approaches to building a sustainable concrete system. However, such materials have inherent flaws due to their variety of sources, and exhibit very different properties compared with traditional concrete. Therefore, they require specific modifications in preprocessing, design, and evaluation before use in concrete. This reprint, entitled “Advances in Sustainable Concrete System”, covers a broad range of advanced concrete research in environmentally friendly concretes, cost-effective admixtures, and waste recycling, specifically including the design methods, mechanical properties, durability, microstructure, various models, hydration mechanisms, and practical applications of solid wastes in concrete systems.
    Keywords: high-strength concrete ; energy evolution ; elastic strain energy ; brittleness evaluation index ; concrete ; humidity ; moisture absorption ; moisture desorption ; numerical simulation ; acoustic emission ; AE rate process theory ; corrosion rate ; damage evolution ; axial load ; precast concrete structure ; lattice girder semi-precast slabs ; bending resistance ; FE modelling ; concrete damage ; GSP ; high strength ; hydration ; strength ; penetrability ; rice husk ash ; sustainable concrete ; artificial neural networks ; multiple linear regression ; eco-friendly concrete ; green concrete ; sustainable development ; artificial intelligence ; data science ; machine learning ; bagasse ash ; mechanical properties ; natural coarse aggregate ; recycled coarse aggregate ; two-stage concrete ; materials design ; recycled concrete ; crumb rubber concrete ; crumb rubber ; NaOH treatment ; lime treatment ; water treatment ; detergent treatment ; compressive strength ; materials ; adhesively-bonded joint ; temperature aging ; residual strength ; mechanical behavior ; failure criterion ; steel slag powder ; compound activator ; mortar strength ; orthogonal experiment ; GM (0, N) model ; ultrafine metakaolin ; silica fume ; durability ; fiber-reinforced concrete ; damage mechanism ; uniaxial tension ; cracked concrete ; crack width ; crack depth ; tortuosity ; sustainability ; concrete composites ; sulfate and acid attacks ; WPFT fibers ; coal gangue ; gradation ; cement content ; unconfined compressive strength ; freeze–thaw cycle ; minimum energy dissipation principle ; three-shear energy yield criterion ; damage variable ; constitutive model ; phosphorus slag ; limestone ; sulphate-corrosion resistance ; volume deformation ; blast furnace ferronickel slag ; alkali-activated material ; dosage of activator ; reactive powder concrete ; beam-column joint ; FE modeling ; crack ; cementitious gravel ; fly ash ; age ; optimal dosage ; bamboo ; sawdust ; pretreatment ; bio-based material ; mechanical property ; self-compacting concrete ; supplementary cementitious materials ; hydration mechanisms ; microstructure ; fresh properties ; synthetic polymer ; high temperature ; bentonite-free drilling fluid ; rheology ; filtration ; FRP reinforced concrete slab ; punching shear strength ; SHAP ; 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::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book is a collection of recent publications from researchers all over the globe in the broad area of high-voltage engineering. The presented research papers cover both experimental and simulation studies, with a focus on topics related to insulation monitoring using state-of-the-art sensors and advanced machine learning algorithms. Special attention was given in the Special Issue to partial discharge monitoring as one of the most important techniques in insulation condition assessment. Moreover, this Special Issue contains several articles which focus on different modeling techniques that help researchers to better evaluate the condition of insulation systems. Different power system assets are addressed in this book, including transformers, outdoor insulators, underground cables, and gas-insulated substations.
    Keywords: TA1-2040 ; T1-995 ; artificial neural network ; simulation ; high-frequency ; artificial flashover tests ; wide bandgap power modules ; tracking ; electrical field strength ; fast-rise square wave voltages ; FDTD simulation ; cable joint ; corona discharge ; feature selection ; post insulator ; earthing systems ; wind speed ; surface discharge ; oil/paper insulation ; oil-paper insulation ; high-magnitude currents and impulse polarity ; UFVM ; Tettex 9520 ; electrical tree ; flashover characteristics ; composite insulator ; partial discharge ; numerical modeling ; saline mechanism ; thermal parameters ; space charge density ; seasonal ; ion flow field ; denoising ; DDX 9121b ; temperature ; transformer asset management ; cavity discharge ; space/interface charge ; insulation health index ; heat transfer model ; leakage current ; machine learning ; partial discharges (PD) ; RF signal ; flashover ; high impulse conditions ; grounding electrodes ; generalized finite difference time domain ; curve fitting ; grounding ; plasma discharge ; outdoor insulators ; flashover dynamic model ; wavelet transform ; degradation ; thermal properties ; bipolar charge transport model ; UHF sensor ; cable ; random walk theory ; tracking test setup ; GIL ; pressure ; modelling ; non-uniform pollution between windward and leeward sides ; calibrator ; secondary arc ; polymeric insulation ; optical-UHF integrated detection ; shoreline ; dry band arcing ; photoelectric fusion pattern ; DDX 8003 ; XLPE ; silicone gel ; partial discharge modeling ; electric field analysis ; NSCT ; electrode’s geometry ; gas ; Comsol Multiphysics ; fast-impulses ; laying modes ; ageing ; cable ampacity ; residual resistance formulation ; finite element analysis ; thermal effect ; hydrophobicity ; soil resistivity ; charge simulation method ; short-circuit discharge ; dry band formation ; 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: In this reprint, state-of-the-art research and review articles on emerging material systems for additive manufacturing (AM) are collected, with a focus on the process–structure–properties relationships. Additive manufacturing (AM) has grown and evolved rapidly in recent years. There are many exciting research and translational works in many areas of application, such as biomedical, aerospace and electronics. These advancements are typically coupled with materials development, which has resulted in more functionalities added to 3D-printed parts, such as multi-material fabrications and integration with machine learning or digital twins. Such enhancements in functionalities have enabled the evolution of AM from a rapid prototyping tool to an actual manufacturing solution. In this reprint, two reviews and thirteen original research articles are included to highlight the latest development in the field of materials science for AM.
    Keywords: titanium scaffolds ; 3D printing ; pore design ; selective laser melting ; lattice structures ; torsion ; design ; additive manufacturing ; functionally gradient lattice ; torsional stiffness ; energy absorption ; failure behavior ; ferritic steel ; heat treatment ; SLM ; nuclear application ; laser powder bed fusion ; solidification crack ; hot crack ; aluminum alloy powder ; EN AW-5083 ; AA5083 ; AlSi10Mg ; powder bed fusion ; metal matrix composites ; laser powder-bed fusion ; aluminum alloys ; reinforcement ; ceramic particulates ; grain refinement ; crystallographic texture ; mechanical properties ; laser-directed energy deposition ; melt pool ; process maps ; multi-fidelity Gaussian process ; Bayesian Optimization ; uncertainty quantification ; K418 alloy ; orientation ; phase ; microhardness ; color 3D printing ; penetration depth ; chromaticity ; image-based metric ; color reproduction ; Ti-24Nb-4Zr-8Sn ; titanium alloy ; biomedical engineering ; microstructure ; X-ray diffraction ; directed energy deposition ; shape-memory alloys ; joining of metals ; elemental powders ; 3D concrete printing (3DCP) ; hybrids ; geopolymer ; frost resistance ; UV radiation ; thermal conductivity ; surface finishing ; physical vapor deposition ; composites ; recycling ; polymer-matrix composites (PMCs) ; direct ink writing ; liquid deposition modeling ; glass fibers ; stainless steel ; AISI 316L ; AISI 630 (17-4PH) ; AISI 420 ; AISI 440C ; carbon content ; online monitoring ; electron beam melting ; 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: 2024-04-09
    Description: This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective.
    Keywords: subject-dependent emotion recognition ; subject-independent emotion recognition ; electrodermal activity (EDA) ; deep learning ; convolutional neural networks ; automatic facial emotion recognition ; intensity of emotion recognition ; behavioral biometrical systems ; machine learning ; artificial intelligence ; driving stress ; electrodermal activity ; road traffic ; road types ; Viola-Jones ; facial emotion recognition ; facial expression recognition ; facial detection ; facial landmarks ; infrared thermal imaging ; homography matrix ; socially assistive robot ; EEG ; arousal detection ; valence detection ; data transformation ; normalization ; mental stress detection ; electrocardiogram ; respiration ; in-ear EEG ; emotion classification ; emotion monitoring ; elderly caring ; outpatient caring ; stress detection ; deep neural network ; convolutional neural network ; wearable sensors ; psychophysiology ; sensor data analysis ; time series analysis ; signal analysis ; similarity measures ; correlation statistics ; quantitative analysis ; benchmarking ; boredom ; emotion ; GSR ; classification ; sensor ; face landmark detection ; fully convolutional DenseNets ; skip-connections ; dilated convolutions ; emotion recognition ; physiological sensing ; multimodal sensing ; flight simulation ; activity recognition ; physiological signals ; thoracic electrical bioimpedance ; smart band ; stress recognition ; physiological signal processing ; long short-term memory recurrent neural networks ; information fusion ; pain recognition ; long-term stress ; electroencephalography ; perceived stress scale ; expert evaluation ; affective corpus ; multimodal sensors ; overload ; underload ; interest ; frustration ; cognitive load ; stress research ; affective computing ; human-computer interaction ; deep convolutional neural network ; transfer learning ; auxiliary loss ; weighted loss ; class center ; stress sensing ; smart insoles ; smart shoes ; unobtrusive sensing ; stress ; center of pressure ; regression ; signal processing ; arousal ; aging adults ; musical genres ; emotion elicitation ; dataset ; emotion representation ; feature selection ; feature extraction ; computer science ; virtual reality ; head-mounted display ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-21
    Description: In Western countries, cancer is among the most frequent causes of death. Despite striking advances in cancer therapy, especially by the so called “targeted agents”, there is still an urgent need for new drugs in oncology. Hope comes from the marine environment, which is a rich source of natural compounds showing anti-cancer activity. To date, four marine cytotoxic substances, namely cytarabine, trabectidine, eribulin, and monomethyl auristatin E (as a drug-antibody conjugate named vedotin) have made it into clinical routine. Many more are in all phases of clinical testing, and a plethora of substances has already been examined for in vitro and in vivo activity. Interestingly, more and more precise research tools allow the dissection of the molecular mode of action of these cytotoxic substances, thereby uncovering the specific drug targets in cancer cells. This development will blur the edges between “targeted” and “untargeted” therapy, and will hopefully lead to a more directed use of cancer medicine (based on a molecular rationale of activity) in the future. This Topical Collection will cover the whole scope from agents with cancer-preventive activity, to novel and previously characterized compounds with anti-cancer activity, both in vitro and in vivo, and the latest status of clinical development from drug trials. Of note, compounds possessing pro-carcinogenic activity or mediating cancer cell survival are also within the scope of this Topical Collection. In addition, a special focus will be placed on current shortfalls and possible strategies to overcome obstacles in the area of marine anti-cancer drug development.
    Keywords: R5-920 ; toxicology ; marine toxins ; drug discovery ; marine natural compounds and their derivatives ; xenograft models ; drug combination ; cancer ; drug resistance ; cancer-preventive activity ; molecular effects ; molecular targets ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: Personalized medicine for Parkinson’s disease is a growing and emerging concept in light of recent recognition that Parkinson’s is a syndromic condition affecting multiple neurotransmitter systems, as well as brain and extracranial structures. The clinical expression is, thus, heterogeneous, and presentation age can range from the 30s to the 90s, with PD in older patients being associated with significant neuropathological comorbidity as well, involving not just misfolded alpha synuclein deposition but also amyloid and tau. Traditional and largely guideline-driven “one size fits all” management strategies adopted in clinical practice are, therefore, often inadequate in holistic management of a patient, particularly when aspects of motor and nonmotor symptoms are taken into consideration. In this supplement of JPM, we present a selection of papers which address several possible strands of personalized medicine in PD, ranging from genomic precision medicine to digital “checklists” to ensure delivery of holistic personalized medicine involving nonpharmacological strategies, as well. We are soliciting any papers addressing biomarkers, genetics and pharmacogenetics, treatment or complementary therapies for personalized or individualized treatment for PD.
    Keywords: Parkinson’s disease ; movement disorders ; periodontitis ; periodontal disease ; hematologic tests ; Vitamin D ; oral health ; Parkinson’s Disease ; cognition ; GABAergic signaling ; cerebellum ; MRS ; response inhibition ; non-motor symptoms ; carer stress ; older persons with Parkinson’s disease ; education ; lifestyle behaviours ; diet ; cross-sectional ; population study ; neurological disorders ; precision medicine ; genetics ; clinical trials ; Parkinson’s disease (PD) ; cognitive rehabilitation ; intervention ; deep brain stimulation ; levodopa-carbidopa intestinal gel ; apomorphine ; radiofrequency ; focused ultrasound ; induced pluripotent stem cells ; cell therapy ; gene therapy ; personalized medicine ; advanced Parkinson’s disease (APD) ; apomorphine subcutaneous infusion therapy ; pain ; intrajejunal ; levodopa ; motor and non-motor symptoms ; PKG (KinetiGrap) ; rehabilitation ; device-aided therapies ; personalised medicine ; Alzheimer’s disease ; clinical trial ; impulsive-compulsive disorders (ICD) ; dopaminergic therapy ; genetic markers ; pharmacogenetic ; polymorphisms ; insomnia ; sleep quality ; assessment ; young onset Parkinson’s (YOPD) ; Emiratis ; expatriate ; genetic ; epigenetics ; societal impact ; device aided therapies ; quality of life ; non motor symptoms ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MJ Clinical & internal medicine::MJN Neurology & clinical neurophysiology
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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: 2023-04-05
    Description: In the urological sphere, the number of tumor malignancies caused by cancer is continuously growing in Western countries. Although this is mainly due to the contemporary increase in the life expectancy of people in these geographic areas, many other factors are also contributing to this growth. Urological cancer is a complex and varied disease which affects different organs and mainly affects the male population. In fact, in most statistics, kidney, prostate, and bladder cancer are regularly included in the top-ten list of the most frequent neoplasms in males. The female population, however, has also been increasingly affected by renal and bladder cancer in the last decade. From these facts, it is clear that urological cancer is a problem of major concern in developed societies. This Topic Issue of Cancers intends to shed some light on the complexity of this field and will consider all useful and appropriate contributions from scientists and clinicians in order to improve urological cancer knowledge for patients’ benefit.
    Keywords: high-risk prostate cancer ; androgen receptor axis ; castration resistance ; neuroendocrine carcinoma ; PARP inhibition ; immunotherapy ; cancer genome ; precision targeting ; robot-assisted partial nephrectomy ; renal cell carcinoma ; indocyanine green ; nephron sparing ; prostate cancer survivors ; follow-up care ; primary health care ; general practice ; process evaluation ; Consolidated Framework for Implementation Research ; prostate-specific membrane antigen positron-emission tomography ; multiparametric magnetic-resonance imaging ; primary diagnosis ; prostate cancer ; systematic review ; diagnosis ; PSMA ; PSA ; tumor ; PET scan ; bladder cancer ; bisphenol A ; bisphenol S ; energy metabolism ; migration ; proliferation ; carbon-ion radiotherapy ; elderly patients ; radiotherapy ; particle beam therapy ; life expectancy ; systemic immune-inflammation index ; Charlson comorbidity index ; CAPRA-S ; early survival ; male incontinence ; robotic prostatectomy ; clear cell renal cell carcinoma ; ferroptosis ; prognostic model ; TCGA ; E-MTAB-1980 ; GLS2 ; pazopanib ; real-world data ; non-interventional study ; time on drug ; nivolumab ; everolimus ; trial-eligibility ; ureteral neoplasms ; urinary bladder neoplasms ; ureteroscopy ; CNTF ; CNTFRα ; LNCaP ; 22Rv1 ; castration resistant ; castration sensitive ; STAT3 ; ERK ; MMP ; biomarker ; Gleason grade ; transforming growth factor-β family ; activin ; INHBA ; INHBB ; INHBC ; prostate-specific antigen ; false-positive results ; real world-data ; 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: 2022-06-21
    Description: The book provides a comprehensive overview of nanostructures and methods used to design biosensors, as well as applications for these biosensor nanotechnologies in the biological, chemical, and environmental monitoring fields. Biological sensing has proven to be an essential tool for understanding living systems, but it also has practical applications in medicine, drug discovery, food safety, environmental monitoring, defense, personal security, etc. In healthcare, advancements in telecommunications, expert systems, and distributed diagnostics are challenging current delivery models, while robust industrial sensors enable new approaches to research and development. Experts from around the world have written five articles on topics including:Diagnosing and treating intraocular cancers such as retinoblastoma; Nanomedicine in cancer management; Engineered nanomaterials in osteosarcoma diagnosis and treatment; Practical design of nanoscale devices; Detect alkaline phosphatase quantitatively in clinical diagnosis; Progress in the area of non-enzymatic sensing of dual/multi biomolecules; Developments in non-enzymatic glucose and H2O2 (NEGH) sensing; Multi-functionalized nanocarrier therapies for targeting retinoblastoma; Galactose functionalized nanocarriers; Sensing performance, electro-catalytic mechanism, and morphology and design of electrode materials; Biosensors along with their applications and the benefits of machine learning; Innovative approaches to improve the NEGH sensitivity, selectivity, and stability in real-time applications; Challenges and solutions in the field of biosensors.
    Keywords: advanced nanomaterials ; dual in-line sensing ; bi-functional properties ; non-enzymatic ; electrochemical sensing ; glucose and H2O2 ; nanotechnology ; bone diseases ; drug delivery ; nanocarriers ; osteosarcoma ; tumor-targeted ; retinoblastoma ; rare cancer ; surface-tailored multi-functionalized nanoparticles ; metallic nanoparticle ; tumor-suppressor gene mutation ; alkaline phosphatase ; terminal protection ; copper nanoparticle ; fluorescence ; biosensor ; electrochemical ; sensitivity ; amperometric ; voltammetric ; food quality monitoring ; machine learning ; 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: 2022-06-21
    Description: Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management.
    Keywords: pig weight ; body size ; estimation ; deep learning ; convolutional neural network ; pig identification ; mask scoring R-CNN ; soft-NMS ; group-housed pigs ; audio ; dairy cow ; mastication ; jaw movement ; forage management ; precision livestock management ; equine behavior ; wearable sensor ; intermodality interaction ; class-balanced focal loss ; absorbing Markov chain ; cow behavior analysis ; prediction of calving time ; cow identification ; EfficientDet ; YOLACT++ ; cascaded model ; instance segmentation ; generative adversarial network ; machine learning ; automated medical image processing ; deep neural network ; animal science ; CT scans ; computer vision ; cow ; extensive livestock ; sensorized wearable device ; monitoring ; parturition prediction ; radar sensors ; radar signal processing ; animal farming ; computational ethology ; signal classification ; wavelet analysis ; dairy welfare ; hierarchical clustering ; mutual information ; precision livestock farming ; time budgets ; unsupervised machine learning ; wearables design ; animal-centered design ; animal telemetry ; modularity ; smart collar ; design contributions ; additive manufacturing ; low-frequency tracking ; commercial aviary ; laying hens ; false registrations ; tree-based classifier ; animal behaviour ; 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: 2023-07-14
    Description: Global cancer incidence and death are expected to increase in the next decades. Inappropriate therapeutic regimens and tumor recurrence due to the development of drug resistance are two major clinical challenges impacting poor patient outcomes, which is critical to the discovery and development of new anticancer drugs. Over the last few decades, the marine environment has proved to be a key source of molecules with potent anticancer properties. The Special Issue, “Marine Natural Products as Anticancer Agents 2.0”, gathered eleven publications, including two reviews and nine research articles, about the anticancer activities of marine natural and/or derived products on in vitro 2D and 3D cellular models, and/or in vivo models of colorectal, breast, lung, myeloma, liver, leukemia, and melanoma cancers. Altogether, the eleven scientific papers published in this Special Issue provide an exciting overview of marine natural products as potential anticancer agents.
    Keywords: Clavatadine C ; spirocyclic bromotyrosines ; cytotoxicity ; cancer selectivity ; marine compounds ; melanoma A-375 cell line ; Sarcophyton convolutum ; sarcoconvolutum A–E ; cembrenoids ; anti-angiogenesis ; bromophenols ; tube formation ; vasculogenic mimicry ; brefeldin A ; ester derivative ; chronic myelogenous leukemia ; BCR-ABL ; proliferation inhibition ; molecular modeling ; 5-O-(N-Boc-l-alanine)-renieramycin T ; Xestospongia sp. ; marine sponge ; lung cancer ; anti-cancer ; cancer stem cells ; apoptosis ; Akt ; c-Myc ; migrastatics ; cell migration ; cell invasion ; metastasis ; terpenes ; algae ; marine natural products ; mitochondrial dysfunction ; oxidative stress ; anticancer ; Sphaerococcus coronopifolius ; seaweed ; Laminaria japonica ; Laminaria japonica peptides ; cancer ; liver ; cell cycle ; porphyrin ; Isabela ; hemin ; X-ray diffraction ; NOESY NMR ; cytotoxic ; colorectal cancer ; 5-fluorouracil ; 7S,15R-dihydroxy-16S,17S-epoxy-docosapentaenoic acid ; tumor-associated macrophages ; chemoresistance ; fucoidan ; immunopotentiation ; immunomodulatory ; immunotherapy ; cancer treatment ; cytokines ; 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: 2022-02-01
    Description: Extracellular vesicles (EVs) are particles wrapped in a lipid bilayer membrane and are naturally released from cells. This kind of cargo vessel is a nanostructure that mainly transfers lipids, proteins, various nucleic acid fragments, and metabolic components to neighboring cells or distant parts of the body through the circulatory system. EVs are of great significance to the communication mechanism between cells. This book collects feature articles to enhance our understanding of the biological characteristics of EVs and their potential applications.
    Keywords: extracellular vesicle ; precision oncology ; cancer biomarker ; prostate cancer ; drug delivery ; extracellular vesicles ; lysosome ; nanocarriers ; ultrasound ; size exclusion chromatography ; differential ultracentrifugation ; head and neck squamous cell carcinoma (HNSCC) ; exosomes ; cancer ; biomarker ; diagnostic ; therapy ; liquid biopsy ; small extracellular vesicles (sEV) ; tumor-derived exosomes (TEX) ; melanoma cell-derived exosomes (MTEX) ; proteomics ; tumor microenvironment ; biomarkers ; ectosomes ; neoplasia ; microvesicles ; small extracellular vesicles ; isolation ; purification ; size-exclusion chromatography ; ultracentrifugation ; sucrose density cushion ; lymph node ; spleen ; solid tissue ; microvesicle ; exosome ; cancer therapeutic ; drug carrier ; flow cytometry ; immunophenotyping ; swarm detection ; tumor-associated macrophages ; macrophage polarization ; mannose receptor ; HIV-1 Nef ; glioblastoma ; microRNA ; immunoprecipitation ; CD44 ; human milk ; nutrient ; microbiota ; microRNAs ; nanocommunicator ; diagnostic biomarker ; drug delivery vehicle ; personalized cancer immunotherapy ; therapeutic agents ; cell-to-cell communication ; ionising radiation ; non-targeted effects ; signalling ; imaging flow cytometry ; biomarker reservoirs ; cancer diagnostics ; disease monitoring ; large EVs ; ovarian cancer cells ; ES-2 ; OAW-42 ; adipose tissue origin mesenchymal stem cells ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: A collection of 18 scientific papers written in honor of Professor Karlheinz Schwarz's 80th birthday. The main topics include spectroscopy, excited states, DFT developments, results analysis, solid states, and surfaces.
    Keywords: density functional theory ; Coulomb systems ; excited states ; nodal variational principle ; DFT ; anatase TiO2(101) surface ; adsorption energy ; Bader charge ; helium atom ; screened Coulomb potential ; variational Monte Carlo method ; Lagrange mesh method ; comparison theorem ; TD-DFT ; MC-PDFT ; Lie–Clementi ; Colle–Salvetti ; OLEDs ; subphthalocyanines ; UV–visible spectra ; axial substituents ; peripheral substituents ; time-dependent DFT ; hexatetra-carbon ; electrical properties ; molecular aggregates ; singlet excitons ; triplet excitons ; TDDFT ; charge-transfer states ; charge-resonance states ; Frenkel states ; localized excitations ; diabatic states ; adiabatic states ; semiconductors ; oscillator strength ; hybrid exchange-correlation functional ; non-local potential ; statistics ; methods comparison ; benchmarking ; band gaps ; atomization energy ; DFT codes ; electronic structure calculation ; numerical accuracy and precision ; kinetic functional ; Yukawa potential ; periodic DFTB ; deMonNano ; graphene ; graphite ; benzene dimers ; deposited benzene ; supported clusters ; weighted mulliken charges ; LAPW method ; APW+lo method ; all-electron DFT ; density matrix functional embedding ; density-functional theory ; householder transformation ; He atomic basis sets ; helium dimer ; He2 potential well ; correlation energy ; complete basis set ; sigma basis set ; atomic multiplet theory ; crystal/ligand-field theory ; coordination compounds ; electronic structure ; Cu2OCl2 ; Cu2OBr2 ; Cu2OI2 ; oxyhalides ; magnetic couplings ; Néel temperature ; chemical pressure ; NMR ; machine learning ; zeolites ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PN Chemistry::PNR Physical chemistry
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-10-25
    Description: This reprint is related to the latest research in the field of thyroid surgery, including molecular and imaging diagnosis, surgical treatment, and the treatment of recurrent disease and advanced thyroid carcinoma.
    Keywords: thyroid carcinoma ; prophylactic central lymph node dissection ; lymph node metastases ; RET ; medullary thyroid carcinoma ; clinical management ; variants of uncertain significance ; differentiated thyroid cancer ; papillary thyroid cancer ; minimal extrathyroidal extension ; radioactive iodine therapy ; prognosis ; TNM ; histology ; multifocality ; lymph node metastasis ; vascular invasion ; autoimmune thyroid diseases ; radioiodine refractory ; Lenvatinib ; 18F-FDG-PET/CT ; cost-benefit analysis ; economics ; medical ; thyroid neoplasms ; radiomics ; ultrasound ; magnetic resonance imaging ; computer tomography ; prediction ; classification ; angiogenic microenvironment ; prognostic factors ; antiangiogenic therapy ; therapeutic target ; tumor microenvironment ; tumor behavior ; proliferation pathways ; cell cycle control pathways ; angiogenesis process ; thyroid cancer ; Gal-3 expression ; NIFTP ; EFVPTC ; lymphocytic thyroiditis (LT) ; immunohistochemical (IHC) analysis ; molecular imaging ; theranostics ; companion diagnostics ; immunoPET ; anaplastic thyroid cancer ; poorly thyroid cancer ; genetic landscape ; genetically guided therapy ; fluorodeoxyglucose F18 (18F-FDG) ; positron emission tomography (PET) ; magnetic resonance imaging (MRI) ; recurrence ; neoplasm metastasis ; thyroid surgery ; hypoparathyroidism ; fluorescence-guided surgery ; near-infrared autofluorescence ; PRKAR1A ; PKA ; Carney complex ; cAMP ; bone metastasis ; metastasectomy ; stereotactic radiosurgery ; ultrasound imaging ; thyroid nodule ; fine-needle aspiration ; papillary thyroid carcinoma ; lobectomy ; operative extent ; CONUT score ; tyrosine kinase inhibitors ; 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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  • 42
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-21
    Description: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a severe chronic health condition that is often misunderstood or ignored by health establishments. The lack of definitive diagnostic markers to separate ME/CFS patients from the healthy population as well as from other chronic disorders is problematic for both health professionals and researchers. A consortium of Australian researchers gathered to systematically understand ME/CFS, ranging from a deep analysis of clinical and pathology data to metabolomic profiles and the investigation of mitochondrial function. From this broad collaboration, a number of compelling insights have arisen that may form the basis of specific serum, blood, and/or urinary biomarkers of ME/CFS. This Special Edition reports on a conference centred on these biomedical discoveries, with other contributions, with a translation focus for predictive markers for ME/CFS diagnosis. By supporting health professionals with developments in diagnostics for this condition, the patients and their families will hopefully benefit from an improved recognition of the biomedical underpinnings of the condition and will be better able to access the care that is urgently required. This Special Edition contains a mix of speaker submissions and other accepted manuscripts that contributed to our objective of advancing biomedical insights to enable the accurate diagnosis of ME/CFS.
    Keywords: R5-920 ; RM1-950 ; fatigue syndrome ; n/a ; work rehabilitation ; tryptophan metabolism ; substrate inhibition ; myalgic encephalomyelitis ; 3-dioxygenase ; ME (Myalgic Encephalomyelitis) ; assessment ; myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) ; muscles ; hypoacetylation ; circadian rhythm ; immune system ; chronic ; CFS (Chronic Fatigue Syndrome) ; energy metabolism ; ME/CFS ; immunological ; cytokine ; bistability ; diagnosis ; biomarker ; symptoms ; kynurenine pathway ; inflammation and immunity ; metabolism ; neuro-inflammation ; pathology ; signaling ; exercise ; Epstein Barr virus ; methylhistidine ; hypothalamic–pituitary–adrenal axis ; potential biomarkers ; critical point ; inflammation ; histone deacetylation ; participatory research ; neurology ; neuroimmune ; activin ; mitochondria ; patient-driven questionnaire ; medical retirement ; machine learning ; prognosis ; gut microbiota ; post-exertional malaise ; chronic fatigue syndrome ; mathematical model ; reference intervals ; diagnostic biomarker ; indoleamine-2 ; bic Book Industry Communication::M Medicine
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  • 43
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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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This Urological Cancer 2020 collection contains a set of multidisciplinary contributions to the extraordinary heterogeneity of tumor mechanisms, diagnostic approaches, and therapies of the renal, urinary tract, and prostate cancers, with the intention of offering to interested readers a representative snapshot of the status of urological research.
    Keywords: renal cell carcinoma ; iron ; macrophages ; chelation therapy ; urothelial carcinoma ; transcriptome ; microtubule ; MAP1B ; prognosis ; KLF5 ; androgen receptor ; cell proliferation ; tumorigenesis ; prostate cancer ; precision medicine ; whole genome sequencing ; optical mapping ; therapy ; prostate carcinoma ; prostate mpMRI ; machine learning ; artificial intelligence ; deep learning ; neural network ; angiogenesis ; angiogenic growth factors ; antiangiogenic therapy ; renal tumors ; prevention ; α1-adrenoceptor antagonists ; anoikis ; vascularity ; research model ; oncogenes ; tumor suppressor genes ; MR-guided ; radiotherapy ; MRgRT ; stereotactic ablative radiotherapy ; stereotactic ablative radiation therapy (SABR) ; renal cell cancer ; RCC ; online adaptive ; [68Ga]Ga-PSMA PET/CT ; dual-time point imaging ; delayed imaging ; biphasic imaging ; lesion positivity rate ; CXCL9 ; PD1 ; PD-L1 ; stage T1 NMIBC ; prostatic neoplasms/mortality ; prostatic neoplasms/epidemiology ; SEER Program ; bladder cancer ; transurethral resection ; en-bloc resection ; CPT1A ; fatty acids ; serine ; androgen response ; ROS ; oxidative stress ; DONSON ; Downstream Neighbor of SON ; biomarker ; metastatic spread ; diagnosis ; differential diagnosis ; histopathology ; immunohistochemistry ; stroma signature ; patient-derived xenografts ; 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
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  • 45
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: This Book, entiled “Allergic Rhinosinusitis and Airway Diseases”, presents the concept of united airway disease interaction, which comprises chronic rhinosinusitis and other lower airway disorders such as asthma. This concept furthers a deeper comprehension on the pathophysiology and management of upper and lower airway diseases. In this Book, the published papers cover different interesting topics such as healthcare equality, advanced biomarkers, accurate diagnosis and treatment, occupational exposure-induced upper airway allergy and neoplastic disease mimicking chronic rhinosinusitis.
    Keywords: chronic rhinosinusitis ; B-cell lymphoproliferative disorder ; sinus ; nasal allergies ; tannery worker ; Kanpur ; asthma ; ovalbumin ; saffron ; salbutamol ; IL’s ; TNF-α ; allergic rhinitis ; bronchial asthma ; allergy ; Th17 cells ; IL-17 ; IL-33 ; microRNA ; miR ; airway mucosal inflammation ; united airway disease ; acute rhinosinusitis ; acute recurrent rhinosinusitis ; Mediterranean diet ; nutritional evaluation ; nutritional therapy ; olfactory dysfunction ; anosmia ; post-acute COVID-19 ; nitric oxide ; NO ; exhaled NO ; FENO ; nasal peak flow ; atopic status ; total IgE ; specific IgE ; childhood asthma ; immunoblot ; ImmunoCAP ; otolaryngology ; sinusitis ; ethnic groups ; patient-reported outcome measures ; quality of life ; social justice ; n/a ; bic Book Industry Communication::M Medicine
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  • 46
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Model-informed precision dosing (MIPD) is an advanced quantitative approach focusing on individualized treatment optimization. MIPD integrates mathematical models of drugs and diseases combined with individual patient characteristics (e.g., genotype, anthropometric factors, and organ function). MIPD has been highlighted as a useful tool for drug dosage selection in both the drug development process and clinical practice and it is a rapidly growing discipline that is supported by the main drug regulatory agencies. Despite the potential benefits of this methodology toward personalized medicine, its application is still limited. The Special Issue presented here includes several PKPD and PBPK models focused on improving the current state of art regarding the PK behaviour of different drugs with the aim of improving the efficacy/safety balance of these treatments and their clinical outcome; the Special Issue is intended to be of particular interest for clinical pharmacologists, pharmacometricians, and specific clinicians who routinely use the considered drugs.
    Keywords: model-informed precision dosing (MIPD) ; efficacy PKPD indexes ; pharmacokinetics ; pharmacodynamics ; PKPD modeling and simulation ; dosing algorithms ; nomograms ; 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
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  • 47
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Ionizing radiation (IR) exposure can be deleterious for living tissues and eventually lead to illness or even death. DNA breakdown and the overproduction of highly reactive free radicals, reactive oxygen species (ROS) and reactive nitrogen species (RNS) are considered initiators of IR-induced molecular and cellular damages, whereas NO, TGF-β and other pro-inflammatory cytokines are the primary effectors involved in radiation bystander effects (RIBE). Radiomodulators can reduce (radioprotectors and radiomitigators) or increase (radiosensitizers) IR damage. Past world events have highlighted the urgent need to develop predictive biomarkers of the IR absorbed dose and radiation countermeasures to reduce IR damage. Despite the strong economic and scientific efforts over the last decades, at present, drugs for effective protection against lethal IRs remain an unmet need. Moreover, the development of radiosensitizers that selectively increase IR damage in cancer cells but protecting, or at least do not affect, healthy tissues is also of unquestionable importance to improving patient survival and quality of life. It includes contributions that will help to understand the mechanisms involved in radiation-derived cellular responses and damage, the importance of free radical scavengers and antioxidant cellular defenses in preventing harm, and the relevance of the antiinflammatory response to improve recovery. In accordance, the mechanism of action and effectiveness of relevant radiomodulators are described and discussed, and novel clinical models and IR biomarker technologies are presented.
    Keywords: ferulic acid ; total body irradiation ; bone marrow microenvironment ; stem cell senescence ; bone marrow injury ; reactive oxygen species ; antioxidant defense system ; planarians ; model animal ; irradiation ; regeneration ; radioprotection ; radiation ; melatonin ; nDNA-repair ; mtDNA-mutations ; oxidation stress ; protection ; mitigation ; H2O2 ; ATP ; MDA ; GSH ; X-ray radiation ; 3T3 fibroblasts ; proliferation ; apoptosis ; cellular stress ; senescence ; peroxiredoxin 6 ; Prdx6 ; radioprotector ; pharmacologic ascorbate ; vitamin C ; pancreatic cancer ; Auranofin ; thioredoxin ; thioredoxin reductase ; peroxiredoxin ; nuclear and radiological emergencies ; radioprotectors ; radiomitigators ; radionuclide scavengers ; radiation biodosimetry ; Olea europaea L. cv. Caiazzana ; oleacein ; ionising radiation ; cancer ; radiotherapy ; normal tissue ; radiosensitization ; radiomodulation ; proteomic analysis ; oxidative modification profiling ; serum albumin ; amino acid sequences ; radiation biomarker ; human lactoferrin ; acute gamma irradiation ; C57Bl/6 mice ; survival rate ; open field test ; spleen ; serum homeostasis ; leukocytes ; stilbenoid ; electron paramagnetic resonance (EPR) ; FT-IR ; electron beam radiation ; radioresistance ; oxidative phosphorylation ; oncometabolites ; radiation response ; bioinformatics ; oxidative stress ; transcriptomics ; radiobiology database ; gene signature ; ionizing radiation ; intestine ; mucositis ; microbiome ; microbiota ; dysbiosis ; bacterial dietary supplement ; radiomitigator ; hyperthermia ; combination therapy ; synergistic effect ; oxygenation ; hypoxia ; immune response ; Tameron ; antioxidant ; 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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  • 48
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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: 2023-12-21
    Description: This Special Issue on “Blood-Derived Products for Tissue Repair and Regeneration” reveals the evolution and diversity of platelet rich plasma (PRP) technologies, which includes experimental research on novel formulations, the creation of combination therapies, and the exploration of potential modifiers of PRPs, as well as efficacy of PRP therapies in clinical veterinary and human applications. Scientist and clinicians are now starting to develop different treatments based on their reinterpretation of the traditional roles of platelets and plasma, and the current Issue has provided a forum for sharing research and ways of understanding the associated medicinal benefits from different points of view. The research interest in this area has covered different medical disciplines, such as ophthalmology, dentistry, orthopedics, and sports medicine.
    Keywords: R5-920 ; RM1-950 ; n/a ; biomaterial ; redifferentiation ; regenerative medicine ; skeletal muscle regeneration ; furcation defects ; Platelet-Rich Plasma (PRP) ; PRP ; fracture ; fibrin sealant ; periodontal surgery ; bone regeneration ; serum derived from plasma rich in growth factors (s-PRGF) ; cartilage repair ; myofibroblasts ; autologous platelet concentrates ; burns ; satellite cells ; articular cartilage ; stem cell niche ; wound healing ; quantification ; growth factors ; biologics ; platelet rich plasma ; meniscus ; adipose tissue ; Carprofen ; platelet-rich fibrin ; platelets ; hyperacute serum ; bone defects ; serum eye drops ; corneal epithelial defect ; fibrosis ; dog ; myoblasts ; differentiation ; chronic meniscal lesion ; horizontal meniscal tear ; PRGF ; collagen hydrogels ; periodontal defects ; bone grafting material ; composition ; cell therapy ; bone healing ; tissue healing ; trephination ; plasma rich plasma (PRP) ; bone repair ; plasma rich in growth factors ; knee arthrosis ; meniscus tear ; cornea regeneration ; wrist osteoarthritis ; periosteal sheet ; Platelet-Poor Plasma (PPP) ; platelet-rich plasma ; microfat ; bone grafting ; hyaluronic acid (NaHA) ; periodontal regeneration ; meniscus repair ; photobiomodulation therapy ; growth ; myogenesis ; blood derived products ; low-level laser therapy ; bic Book Industry Communication::M Medicine
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  • 50
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Chronic intestinal diseases are increasing around the world. With poor quality of life and expensive healthcare costs, the patients demand novel approaches and treatments for better clinical outcomes. This book illustrates the state of the art and the envisaged near future in the management of these pathologies.
    Keywords: chronic intestinal pseudo-obstruction ; parenteral nutrition ; pediatrics ; myopathy ; neuropathy ; IBS ; microbiota ; visceral hypersensitivity ; colorectal motility ; inflammatory bowel disease ; Crohn’s disease ; ulcerative colitis ; anti-TNF ; ustekinumab ; vedolizumab ; postoperative complications ; surgery ; preoperative therapy ; biologic therapy ; bio-naïve ; IBD ; pro-inflammatory cytokines ; lymphocyte migration ; treatment ; inflammatory bowel diseases ; biologic treatment ; combination ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint contains articles published in the Special Issue entitled "Assessing Atmospheric Pollution and Its Impacts on the Human Health" in the journal Atmosphere. The research focuses on the evaluation of atmospheric pollution by statistical methods on the one hand, and on the other hand, on the evaluation of the relationship between the level of pollution and the extent of its effect on the population's health, especially on pulmonary diseases.
    Keywords: household air pollution ; fine particulate matter ; international environmental health ; cookstove ; respiratory disease ; brick worker ; particulate matter ; heavy metals ; Sulfate-Nitrate-Ammonium ; pollution levels ; mobile sources ; aerosols ; PAHs ; OC and EC ; transport sources ; urbanized coastal station ; grain dust ; health risk assessment ; Monte Carlo simulation ; disability adjusted life year ; multi-media exposure ; health risk ; probabilistic risk assessment ; Lake Chaohu ; PM10 ; health risks ; extreme learning machine ; echo state network ; neural networks ; pollution ; concentration ; indicators ; aberrant values ; nitrogen oxides ; ARIMA ; GRNN ; ARIMA–GRNN ; isolation forest ; LOF ; AOD ; classification ; dendrogram ; PCA ; air quality index ; polluting agents ; respiratory diseases ; monitoring stations ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology::MMGT Medical toxicology
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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: 2022-06-21
    Description: This Special Issue is aimed to offer an overview of studies presenting new rehabilitation approaches addressed to children with neurodevelopmental disorders, designed to enhance the effects of learning processes through the use of new technologies. The contributions of this Special Issue, authored by researchers and clinicians from some of the most valued Italian scientific institutions in the field of neurodevelopmental disorders, can offer some useful data and advice on the use of technology in rehabilitation and telerehabilitation to researchers, rehabilitators, clinicians and pratictioners (psychologists, neuropsychologists, speech therapists, etc.).
    Keywords: neurorehabilitation ; cognitive enhancement in children ; tech mediated rehabilitation ; developmental coordination disorders ; virtual reality ; telerehabilitation ; specific learning disorders ; cerebral palsy ; well-being ; dyslexia ; rhythm ; music therapy ; intervention ; developmental dyslexia ; new technologies ; augmented reality ; good practices ; Delphi method ; rehabilitation ; remote intervention ; children ; age ; severity ; improvement ; follow-up ; n/a ; bic Book Industry Communication::M Medicine
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  • 54
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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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  • 55
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Coastal regions are susceptible to rapid changes, as they constitute the boundary between the land and the sea. The resilience of a particular segment of coast depends on many factors, including climate change, sea-level changes, natural and technological hazards, extraction of natural resources, population growth, and tourism. Recent research highlights the strong capabilities for remote sensing applications to monitor, inventory, and analyze the coastal environment. This book contains 12 high-quality and innovative scientific papers that explore, evaluate, and implement the use of remote sensing sensors within both natural and built coastal environments.
    Keywords: big data applications ; data processing ; data visualization ; neural networks ; reduction ; coastal waters ; urban expansion ; remote sensing and GIS ; expansion types and rates ; major explanatory factors ; Miami metropolitan area ; cliff coastlines ; cliff retreat ; time-series analysis ; airborne laser scanner ; warm upwelling ; sea surface temperature ; numerical modelling ; winter ; southern Baltic Sea ; beach monitoring ; mobile terrestrial LiDAR ; intensity calibration ; beach surface moisture ; Baltic coast ; Poland ; CORINE Land Cover ; land cover flow ; urbanisation ; afforestation ; deforestation ; spatial analysis ; SDGs ; coastal habitats ; ecosystem monitoring ; land cover mapping ; random forest algorithm ; Sentinel-2 ; modified soil-adjusted vegetation index 2–MSAVI2 ; normalized difference water index 2–NDWI2 ; brightness index 2–BI2 ; oil spill ; remote sensing ; review ; machine learning ; deep learning ; trajectory modeling ; vulnerability assessment ; coastal geomorphology ; shoreline change ; coastal process ; monitoring ; geomatic techniques ; Po River Delta ; archival multi-temporal data ; coastline changes ; emerged/submerged surfaces ; land subsidence ; relative sea level rise 2100 ; land cover ; dune coast ; air photograph ; South Baltic Sea ; coastal monitoring ; estuaries ; IoT ; lidar ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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  • 56
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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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: Dry pasta is one of the most popular staple foods worldwide due to its convenience in terms of affordability, versatility, long shelf life, as well as sensory and nutritional value. As such, it represents a suitable carrier for health-promoting substances providing specific physiological functions. This Special Issue deals with the continuum aspects, “from seed to fork”, that could have an impact on the nutritional, sensory, and technological aspects of pasta. In this Special Issue, we aimed to publish innovative research and review papers on physico-chemical and sensorial characteristics, nutritional value, functional and technological properties of pasta, and pasta-making processes. New raw materials, new functional ingredients, up-cycling of waste materials, in vivo experiments to test the effect of assumption of the supplemented pasta, and innovative packaging systems will also be addressed in this Special Issue. Predictions of pasta quality adopting chemometrics as well as multi-variate and statistical data analysis approaches were welcomed. Finally, in the medium term, the international pasta market is expected to stay negative unless tangible product innovations are introduced, particularly regarding the technological innovations aimed at improving the products’ health benefits. This Special Issue aimed to provide a fundamental understanding and present the current strategies to improve the technological, nutritional, and sensory properties of pasta.
    Keywords: innovative pasta raw materials ; durum ; emmer ; spelt ; pasta ; brewers’ spent grain ; dietary fiber ; einkorn ; functional pasta ; tritordeum ; upcycling ; unconventional ingredients ; nutritional value ; cooking quality ; legumes ; Spirulina Platensis ; resistant starch ; hydrolysis index ; dietary fibre ; annealing ; slowly digestible starch ; carbohydrates ; fiber ; in vitro digestion ; micronization ; brown rice ; air fractionation ; parboiling ; rice pasta ; enriched pasta ; bioactive compound ; tuna ; sea bass ; Ω-3 fatty acids ; sensometrics ; TPA (texture profile analysis) ; glycemic index ; glycemic response ; durum wheat ; landraces ; starch ; available carbohydrates ; glycemic load ; texture profile analysis ; gluten-free ; celiac disease ; fish ; allergy ; pear, date, and apple by-products ; wheat flour ; sensorial properties ; scanning electron microscopy ; multiple factor analysis ; n/a ; 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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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: Social media has the potential to provide rapid insights into unfolding public health emergencies such as infectious disease outbreaks. They can also be drawn upon for rapid, survey-based insights into various health topics. Social media has also been utilised by medical professionals for the purposes of sharing scholarly works, international collaboration, and engaging in policy debates. One benefit of using social media platforms to gain insight into health is that they have the ability to capture unfiltered public opinion in large volumes, avoiding the potential biases introduced by surveys or interviews. Social media platforms can also be utilised to pilot surveys, for instance, though the use of Twitter polls. Social media data have also been drawn upon in medical emergencies and crisis situations as a public health surveillance tool. A number of software and online tools also exist, developed specifically to aide public health research utilising social media data. In recent years, ethical issues regarding the retrieval and analysis of data have also arisen.
    Keywords: social media ; disordered eating behaviours ; body image ; female ; university students ; telemedicine ; carbon dioxide ; air pollutants ; vehicle emissions ; primary care ; machine learning ; teleconsultation ; remote consultation ; classification ; public health ; short video ; social network ; TAM ; cost analysis ; health technology assessment ; provider-to-provider telemedicine ; telehealth ; economic analysis ; questionnaires and surveys ; validation studies ; health personnel ; electronic nicotine delivery systems ; smoking ; twitter ; poor doctor-patient relationship ; healthcare consultation ; mobile context ; computer-mediated communication ; point-of-care systems ; ultrasonography ; traffic-related pollution ; primary health care ; acceptability of health care ; surveys and questionnaires ; health communication ; Spanish official medical colleges ; stakeholders ; Twitter ; systemic lupus erythematosus (SLE) ; network analysis ; topic modeling ; text analysis ; online media ; vaccination ; social marketing ; stroke ; prehospital emergency care ; training ; stroke code ; large vessel occlusion ; prehospital scales ; hearing loss ; latent topic ; LDA ; social Q&amp ; A ; public voice ; public health emergency ; policy evolution ; product innovation ; cooperative governance ; COVID-19 ; coronavirus ; masks ; transmission ; 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: 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: 2024-03-27
    Description: Global health, conceived as a discipline, aims to train, research and respond to problems of a transboundary nature, in order to improve health and health equity at the global level. The current worldwide situation is ruled by globalization, and therefore the concept of global health involves not only health-related issues, but also those related to the environment and climate change. Therefore, in this Special Issue, the problems related to global health have been addressed from a bibliometric approach in four main areas: environmental issues, diseases, health, education and society.
    Keywords: social networks ; health ; young people ; bibliometric study ; scientometrics ; obesity ; interventions ; children ; youths ; pediatrics ; reclaimed water ; advanced oxidation process ; microorganisms ; concern emergent contaminant ; worldwide ; content analysis ; text mining ; diabetes ; QOL ; artificial intelligence ; machine learning ; bibliometric ; LDA ; HIV/AIDS ; quality of life ; global health ; public health ; scientometric study ; knowledge map ; visualization analysis ; CiteSpace ; COPD ; QoL ; medicinal plants ; drugs ; worldwide research ; bibliometrics ; traditional medicine ; asthma ; HRQoL ; Scival ; patents ; Spain ; Research and Development (R&amp ; D) ; social returns ; COVID-19 ; biomechanics ; musculoskeletal disorders ; RULA ; ergonomics ; applications ; climate change ; infectious diseases ; bibliometric analysis ; co-word analysis ; biclustering ; strategic diagram ; academic performance ; citation network ; motivation ; microplastics ; network analysis ; VOSviewer software ; research hotspots ; pulmonary disease ; musculoskeletal risks ; wastewater treatment ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: The concept of advanced therapy medicinal products (ATMPs) encompasses novel kinds of medicines for human use that are based on genes, cells or tissues. These intend to offer not only regeneration, but complete functional recovery of diseased tissues and organs using different strategies. Gene therapy, cell therapy and tissue engineering are the main areas in which promising advanced therapies are emerging. The eye is a very complex organ whose main structures, the cornea and the retina, play a pivotal role in maintaining normal vision, as severe alterations in these tissues can lead to blindness. Ocular tissues are starting to benefit from ATMPs by fighting against the enormous complexity and devastating potential of many ocular diseases. However, developments arising from this field of work face important challenges related to vectors to deliver drugs and genetic material to target tissues, suitable biomaterials to prepare cell scaffolds and cell stemness, among others—not to mention the complicated legislation around ATMPs, the complexity in production and quality control and the absence of standardized protocols.The purpose of this Special Issue is to serve as an overview of the current progress in the application of cell and gene therapies, as well as tissue engineering to restore functionality in diseased ocular structures, and the challenges linked to reaching patients.
    Keywords: MPC polymer ; dry eye ; ocular surface ; lacrimal fluid ; mucin ; 3D bioprinting ; cornea ; retina ; ophthalmology ; tissue regeneration ; electrospinning ; conjunctiva ; decellularized tissue matrix ; small intestinal submucosa ; urinary bladder matrix ; polycaprolactone ; fiber ; tissue engineering ; stratification ; conjunctival epithelial cells ; hydrogel ; keratoplasty ; scaffold ; collagen ; advanced therapy medicinal product ; ATMP ; cell therapy ; gene therapy ; eye ; ocular ; regulatory ; marketing authorization ; double-crosslinking ; carbodiimide ; glutaraldehyde ; sodium metabisulfite ; sodium borohydride ; EDC/NHS ; stem cells ; retinal diseases ; optic nerve diseases ; cell replacement ; cell sources ; advanced therapies ; ocular mucosa ; blindness ; CLET ; limbal niche ; limbal stem cell ; LSCD ; mesenchymal stem cell transplantation ; MSCT ; corneal limbus ; decellularized xenograft ; recellularization ; mesenchymal stem cells ; n/a ; bic Book Industry Communication::M Medicine
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  • 62
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-01-05
    Description: This book focuses on fundamental and applied research on construction project management. It presents research papers and practice-oriented papers. The execution of construction projects is specific and particularly difficult because each implementation is a unique, complex, and dynamic process that consists of several or more subprocesses that are related to each other, in which various aspects of the investment process participate. Therefore, there is still a vital need to study, research, and conclude the engineering technology and management applied in construction projects. This book present unanimous research approach is a result of many years of studies, conducted by 35 well experienced authors. The common subject of research concerns the development of methods and tools for modeling multi-criteria processes in construction engineering.
    Keywords: earned value method—EVM ; time variances ; cost variances ; schedule ; cadastre ; land surveyor ; construction surveying ; building layout ; polar coordinates ; stake-out methods ; total station ; construction reports ; construction contracts ; natural language processing ; machine learning ; simulation modeling ; bridge expansion and contraction installation (BECI) ; decision making (DM) ; technical condition assessment ; analytic hierarchy process (AHP) ; whale optimization algorithm ; Tent chaotic mapping ; Lévy flight ; resilience ; baseline schedule ; uncertainty ; taxonomy ; construction project ; PERT ; theory of constraint (TOC) ; drum-buffer-rope (DBR) ; construction schedule ; monitoring progress ; construction phase ; automated monitoring ; digital tools ; as-built ; as-planned ; efficiency ; risk ; randomization ; association analysis ; tabu search ; delay ; time schedules ; project risk ; construction project management ; Time-at-Risk (TaR) ; investment-construction process model ; Monte Carlo simulation ; decision-making process ; decision modelling in construction activities ; decisions in civil engineering ; liquid cooling system ; flow calibration ; differential pressure ; experimental method ; aircraft ; building information modelling (BIM) ; automatisation ; facilities design ; domestic plumbing and sanitation ; management ; project cost ; investment schedule ; risk mitigation ; randomness ; fuzziness ; health and safety control ; 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: 2022-06-21
    Description: This reprint includes contributions from leaders in the field of personalized medicine in ophthalmology. The contributions are diverse and cover pre-clinical and clinical topics. We hope you enjoy reading the articles.
    Keywords: subthreshold micropulse laser ; 577-nm laser ; laser fixed parameters ; diabetic retinopathy ; diabetic macular edema ; optical coherence tomography ; autofluorescence ; real-life ; diabetic macular oedema ; visual prognosis ; indicators ; personalized medicine ; age-related macular degeneration ; choroidal neovascularization ; classification ; machine learning ; type 2 diabetes ; retinopathy ; ethnicity ; general practice ; risk factors ; progression ; glycemic gap ; glucose variability ; ETDRS classification ; biomarkers ; phenotypes ; anti-vascular endothelial growth factor ; diabetic retinopathy severity scale ; panretinal leakage index ; neovascular age-related macular degeneration ; anti-VEGF therapy ; retinal thickness ; visual acuity ; variability ; leakage index ; microaneurysms ; intravitreal aflibercept ; neovascularization ; ultra-widefield fluorescein angiography ; retinal imaging ; quantitative biomarkers ; precision medicine ; autoantibodies ; AT1-receptor ; PAR1 ; VEGF-A ; VEGF-B ; VEGF-receptor 2 ; AMD ; complement system ; semi-quantitative multiplex profilin ; mass spectrometry ; C4 ; vitronectin ; factor I ; genetic variants ; metabolites ; HDL ; central area thickness ; biomarker ; microRNA ; anti-VEGF ; retina ; edema ; OCT ; tomography ; microphysiological systems ; blood-neural barriers ; neurovascular unit ; disease modeling ; 3D models ; organ-on-a-chip ; inner blood-retinal barrier ; 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: 2022-08-12
    Description: The scope of the Special Issue is research and reviews on evaluations of current practice, innovations in medication management, developments in therapeutics, and pharmaceutical science research that informs and improves practice and administration, as well as the social and administrative pharmacy. We will mainly feature original research, reviews, short reports, and clinical studies, but also case reports, descriptive/how-to, and commentary submissions for consideration.
    Keywords: older adults ; polypharmacy ; internal medicine ward ; community pharmacy ; drug disposal ; unused medication ; environment ; awareness ; practice ; ambulatory care facilities ; health workforce ; pharmacists ; Taiwan ; Commonwealth Partnerships for Antimicrobial Stewardship (CwPAMS) ; National Health Service (NHS) ; Chief Pharmaceutical Officer’s Global Health Fellowship ; CPhOGH Fellows ; CwPAMS ; pharmacy ; fellowship ; health partnerships ; antimicrobial resistance (AMR) ; global health ; leadership ; non-prescription medicines ; emergency contraception ; community pharmacies ; information gathering ; availability ; pricing ; mystery calls ; ulipristal acetate ; levonorgestrel ; Germany ; e-prescription ; prescription writing ; Jazan ; Saudi Arabia ; prescription errors ; medicine consumption ; defined daily dose ; adolescents and young adults ; cancer patients ; fragility ; pain ; MUR ; medication review ; barriers ; pharmacist ; pregabalin ; abuse ; community pharmacists ; reproductive health ; contraception ; emergency contraceptives ; patient education ; biosensing technology ; digital medicine system ; medication adherence ; medication event monitoring system ; nonadherence ; prescription opioids ; mortality ; standardized mortality ratio ; underlying cause of death ; prescriptions ; community pharmacy services ; emergency prescribing ; pharmacy practice ; pharmacy law and regulation ; COVID-19 ; additional monitoring ; black triangle ; adverse event reporting ; pharmacovigilance ; intervention ; outcomes ; systematic review ; pharmacy education ; decision to study in pharmacy ; selecting pharmacy as a first choice ; pharmacogenomics ; learning activity ; asynchronous learning ; virtual learning ; student survey ; Program of All-Inclusive Care for the Elderly ; adverse drug events ; medication-related problems ; drug-related problems ; medication safety ; Medicare ; Medicaid ; financial management ; pharmacy management ; business ; entrepreneurship ; pharmacy students ; perception ; attitudes ; ability ; interprofessional ; simulation ; acute care ; nursing ; students ; standardized patients ; high fidelity ; SPICE-R2 ; 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
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: The trend of digitalization is an omnipresent phenomenon nowadays – in social life and in the dental community. Advancement in digital technology has fostered research into new dental materials for the use of these workflows, particularly in the field of prosthodontics and oral implantology.CAD/CAM-technology has been the game changer for the production of tooth-borne and implant-supported (monolithic) reconstructions: from optical scanning, to on-screen designing, and rapid prototyping using milling or 3D-printing. In this context, the continuous development and speedy progress in digital workflows and dental materials ensure new opportunities in dentistry.The objective of this Special Issue is to provide an update on the current knowledge with state-of-the-art theory and practical information on digital workflows to determine the uptake of technological innovations in dental materials science. In addition, emphasis is placed on identifying future research needs to manage the continuous increase in digitalization in combination with dental materials and to accomplish their clinical translation.This Special Issue welcomes all types of studies and reviews considering the perspectives of the various stakeholders with regard to digital dentistry and dental materials.
    Keywords: Dentistry ; Prosthodontics ; Implant ; dentistry ; Digital ; technology ; Dental ; materials ; Rapid ; prototyping ; CAD/CAM ; Optical ; scanning ; 3D ; printing ; Translational ; research ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-21
    Description: In the last few years, an increasing number of individuals have adopted a gluten free diet (GFD). A significant proportion of that includes patients affected by celiac disease (CD), who have to follow a strict GFD for medical purposes. However, a high number of individuals are currently following a GFD without medical counseling and without a specific diagnosis needing a gluten withdrawal from the diet. This is due to the frequently incorrect information diffused on the Internet and mass media on the topic of GFD. For these reasons, research on the GFD and its clinical use and biological effects is urgently needed.
    Keywords: R5-920 ; RC620-627 ; gluten ; n/a ; mental health ; 33-mer ; gut motility ; gluten re-introduction ; teenagers ; gastric emptying ; islet of Langerhans ; children ; high-fat diet-induced obesity ; affective disorders ; FODMAP intake ; Brazilian CD-QoL ; DQ2.5-glia-?3 epitopes ; place of residence ; zinc ; glutenin ; quality of life (QoL) ; mood disorders ; magnesium ; dietary adherence ; coeliac disease ; food habit ; villous atrophy ; pepsin ; peptides derived from gluten in faeces and urine ; beta cell ; body mass index (BMI) ; oral food challenge ; gliadin ; ?-gliadin ; non-celiac gluten sensitivity ; celiac disease ; wheat ; outcome ; DQ2.5-glia-?1 ; DQ2.5-glia-?2 ; gut microbiota ; type 2 diabetes ; major depressive disorder ; micronutrient ; beta-cell stress ; non-coeliac gluten sensitivity ; screening ; gluten free diet ; gluten-related disorders ; threshold ; diary recommended intake ; wheat species ; non-coeliac wheat sensitivity ; body composition ; serology ; educational level ; mineral ; disease duration ; gastrointestinal symptoms ; gluten-free diet ; NOD mouse ; diagnosis ; osteoporosis ; nutrition ; cholecyst ; wheat allergy ; celiac disease (CD) ; quality of life ; microbiota ; questionnaire ; nutritionists ; structured questionnaires ; Pseudomonas ; intestinal permeability ; Celiac Disease ; economic status ; effectiveness ; type 1 diabetes ; cost ; calcium ; irritable bowel syndrome ; adherence ; non celiac gluten sensitivity ; deficiency ; gluten sensitivity ; iron ; low FODMAP diet ; depression ; clinic ; duodenal biopsies ; fortification ; mucosal recovery ; bic Book Industry Communication::M Medicine
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    Publication Date: 2023-12-21
    Description: The recent advances in optical sources and detectors have opened up new opportunities for sensing and imaging techniques which can be successfully used in biomedical and healthcare applications. This book, entitled ‘Optical Methods in Sensing and Imaging for Medical and Biological Applications’, focuses on various aspects of the research and development related to these areas. The book will be a valuable source of information presenting the recent advances in optical methods and novel techniques, as well as their applications in the fields of biomedicine and healthcare, to anyone interested in this subject.
    Keywords: R5-920 ; TA1-2040 ; RM1-950 ; fiber optic sensor ; computational optical sensing and imaging ; imaging spectroscopy ; spectral imaging ; optical coherent tomography ; optical feedback interferometry ; optical tomography ; Raman sensing and imaging ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Rare diseases, or orphan diseases, are those that individually affect a small number of patients, but taken together affect over 300 million people worldwide. They are characterized by their etiological, diagnostic and evolutionary complexity, important morbi-mortality, with high levels of disability that entail and hinder the development of a normal vital subject, not only in those who suffer from them, but also their families; therefore, a comprehensive social health approach is necessary to address this problem.About 80% of rare diseases have a genetic origin, mainly monogenic; thus, genetic testing is mandatory for the confirmation of clinical diagnostics and to ensure correct genetic counseling. Next-generation sequencing (NGS) has enabled a revolution in genetic diseases, specially in rare diseases. However, their complexity makes diagnoses difficult even with the advent of NGS.In this Special Issue, we present several examples of the complexity of genetic diagnosis for most of these diseases and the consequences that genetic testing implies for genetic counseling. There are examples of the genetic heterogeneity of hearing loss, some metabolic and lisosomal disorders, ataxia, Prader–Willi syndrome, and three comprehensive reviews on syndromic retinal dystrophies, the complexity of the molecular diagnosis of neuromuscular disorders, and the value of genetic counseling before and after a genetic test.
    Keywords: retina ; inherited retinal diseases ; syndrome ; Turner syndrome ; mosaicism ; ring chromosomes ; growth hormone deficiency ; pituitary microadenoma ; clinical genetics ; early onset ataxia ; dystonia ; neurodevelopment ; network analysis ; bioinformatics ; ataxia ; phenotype ; child ; NGS ; next generation sequencing ; inborn errors of metabolism ; lysosomal disorders ; neuromuscular disease ; genetic testing ; whole exome sequencing ; Prader–Willi syndrome ; imprinting disorder ; recombinant human growth hormone ; insulin-like growth factor 1 ; HMGLD ; HMGCL ; HMG-CoA lyase deficiency ; inherited metabolic diseases ; familial hearing loss ; multiple diagnoses ; non-syndromic hearing loss ; ACTG1 ; MYH9 ; genetic counselling ; rare diseases ; professional recognition ; hearing loss ; genetic diagnosis ; SLC26A4 ; DFNB4 ; Tuvinians ; Altaians ; Southern Siberia ; Russia ; GSDME ; DFNA5 ; single-exon CNV ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: The need for energy is increasing and at the same time production from the conventional reservoirs is declining quickly. This requires an economically and technically feasible source of energy for the coming years. Among some alternative future energy solutions the most approachable source is from unconventional reservoirs. As the name “unconventional” implies it requires different and challenging approach to characterize and to develop such a resource. This special issue covers some of the technical challenges for developing unconventional energy sources from shale gas/oil, tight gas sand, and coalbed methane.
    Keywords: bedding fractures ; failure criterion ; lamina ; tight oil ; tight sandstone ; finite element simulation ; numerical simulation ; unconventional reservoir ; permeability ; group method of data handling ; artificial neural network ; well logs ; sensitivity analysis ; tight gas reservoir ; multi-fractured horizontal well (MFHW) ; unstable productivity model ; productivity forecast ; influencing factor analysis ; horizontal well with multiple finite-conductivity fractures ; elliptical-shaped drainage ; productivity index ; non-Darcy flow ; pressure-dependent conductivity ; reservoir properties ; void space structure ; porosity ; complex rocks ; NMR ; MICP ; CT ; SEM ; coal-bearing tight sandstone ; organic-rich clasts ; occurrence ; classifications ; formation mechanisms ; Ordos Basin ; hydraulic fracturing ; fracturing fluids ; fluids-rock interaction ; environmental implication ; history matching ; semianalytic model ; unconventional gas reservoirs ; multistage fractured horizontal wells ; fractal theory ; pore structure ; heterogeneity ; NMR measurements ; multifractal analysis ; shale reservoir ; elastic properties ; brittleness ; rock physics ; brittle spot identification ; shale gas ; reservoir characteristics ; gas content ; eastern Sichuan Basin ; the Da’anzhai member ; pulse decay method ; gas adsorption ; dual media ; unconventional core ; natural fracture ; influencing factor ; oil production ; carbonate rock ; basement reservoir ; Jizhong Sub-basin ; dynamic pore network modeling ; shale reservoirs ; water imbibition ; discrete element method ; modified fluid-mechanical coupling algorithm ; injection sequence ; well spacing ; stress shadow effect ; seismic location ; microseismic events ; waveform stacking ; induced seismicity ; CBM ; surfactant ; solid-free drilling fluid ; CBM reservoir wettability ; machine learning ; lithofacies ; umiat ; Alaska ; proppant transportation ; cross fractures ; CFD simulation ; dimensional analysis ; equilibrium proppant height ; coalbed methane ; Lattice Boltzmann method ; gas diffusion ; adsorption–desorption ; pore-scale ; clay minerals ; pore structures ; tight gas reservoirs ; Xujiaweizi Rift ; Northern Songliao Basin ; methane adsorption isotherm ; coal properties ; gradient boosting decision tree ; estimation model ; shale gas reservoir ; geology ; Gibbs excess adsorption ; supercritical adsorption ; gas viscosity ; high voltage spark discharge ; electrohydraulic effect ; electrical conductivity ; drilling ; rock damage ; pressure waves ; water fracturing ; turbulence effect ; Eulerian multiphase modeling ; proppant transport mechanism ; equilibrium height prediction model ; adaptive filtering ; complex noise canceling ; electromagnetic telemetry ; multifractured horizontal wells ; production analysis ; irregular stimulated region ; natural gas hydrate ; seismic modeling ; fractional derivatives ; gas geochemical characteristics ; noble gas ; shale gas evolution ; Large Igneous Province (LIP) ; gas loss ; geological structure ; gas controlling pattern ; neutral surface ; tectonic movement ; Bumu region ; seismic interpretation ; depositional environments characteristics ; Wheeler diagram ; seismic attributes ; heterogeneous sequence ; sample size ; neutron scattering ; mercury injection capillary pressure ; adsorption ; shale ; junggar basin ; hong-che fault zone ; carboniferous ; volcanic reservoir ; main controlling factors of hydrocarbon accumulation ; fracture ; vug ; micro CT ; carbonate ; wave velocity ; amorphous SiO2 ; X-ray diffraction ; X-ray fluorescence spectrometry ; scanning electron microscope ; quantitative analysis ; void ratio ; FEM ; ABAQUS ; matrix porosity ; kerogen porosity ; water saturation ; gas hydrate ; saturation ; deep learning ; recurrent neural network ; molecular simulation ; enhanced oil recovery ; methane ; shale petroleum ; technological development ; patent ; network analysis ; imbibition ; osmosis ; unconventional formations ; EOR ; water flooding ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: This Special Issue (SI) on “Land Degradation Assessment with Earth Observation” comprises 17 original research papers with a focus on land degradation in arid, semiarid and dry-subhumid areas (i.e., desertification) in addition to temperate rangelands, grasslands, woodlands and the humid tropics. The studies cover different spatial, spectral and temporal scales and employ a wealth of different optical and radar sensors. Some studies incorporate time-series analysis techniques that assess the general trend of vegetation or the timing and duration of the reduction in biological productivity caused by land degradation. As anticipated from the latest trend in Earth Observation (EO) literature, some studies utilize the cloud-computing infrastructure of Google Earth Engine to cope with the unprecedented volume of data involved in current methodological approaches. This SI clearly demonstrates the ever-increasing relevance of EO technologies when it comes to assessing and monitoring land degradation. With the recently published IPCC Reports informing us of the severe impacts and risks to terrestrial and freshwater ecosystems and the ecosystem services they provide, the EO scientific community has a clear obligation to increase its efforts to address any remaining gaps—some of which have been identified in this SI—and produce highly accurate and relevant land-degradation assessment and monitoring tools.
    Keywords: bfast ; Mann–Kendall ; Sen’s slope ; East Africa ; NDVI ; breakpoint analysis ; vegetation trends ; greening ; browning ; Kenya ; Uganda ; trend analysis ; land use ; land cover ; spatial heterogeneity ; mining development ; geographically weighted regression (GWR) ; Mann-Kendall ; arid and semi-arid areas ; salinization ; irrigated systems ; Niger River basin ; salinity index ; vegetation index ; TI-NDVI ; Sentinel-2 images ; high temporal resolution ; wind erosion modeling ; RWEQ ; GEE ; central Asia ; spatial-temporal variation ; land degradation ; archetypes ; self-organizing maps ; drivers ; savannah ; Nigeria ; reference levels ; REDD+ ; greenhouse gas emissions ; Xishuangbanna ; monitoring and reporting ; Normalised Difference Vegetation Index (NDVI) ; Vegetation Condition Index (VCI) ; drought ; land use-land cover ; remote sensing ; Botswana ; developing countries ; Google Earth Engine ; Landsat time series analysis ; semi-arid areas ; sustainable land management programmes ; precipitation ; breakpoints and timeseries analysis ; ecosystem structural change ; BFAST ; land degradation neutrality ; SDG ; land productivity ; Landsat ; vegetation-precipitation relationship ; soil organic carbon ; Kobresia pygmaea community ; unmanned aerial vehicle ; Gaofen satellite ; spatial distribution ; aridity index ; satellite-based aridity index ; remote sensing index ; salinized land degradation index (SDI) ; Amu Darya delta (ADD) ; satellite imagery ; gully mapping ; machine learning ; random forest ; support vector machines ; South Africa ; semi-arid environment ; shrub encroachment ; slangbos ; Earth observation ; time series ; Sentinel-1 ; Sentinel-2 ; Synthetic Aperture Radar (SAR) ; Soil Adjusted Vegetation Index (SAVI) ; Kyrgyzstan ; pastures ; MODIS ; land surface phenology ; drought impacts ; drought adaptation ; drought index ; vegetation resilience ; drought vulnerability ; standardized precipitation evapotranspiration index ; AVHRR ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-20
    Description: This book presents a collection of papers revealing the impact of advanced computation and instrumentation on healthcare. It highlights the increasing global trend driving innovation for a new era of multifunctional technologies for personalized digital healthcare. Moreover, it highlights that contemporary research on healthcare is performed on a multidisciplinary basis comprising computational engineering, biomedicine, biomedical engineering, electronic engineering, and automation engineering, among other areas.
    Keywords: eHealth ; mHealth ; telemedicine ; telehealth ; social sciences ; bibliometrics ; telediagnostic ; project management ; funding ; IT infrastructure ; cross-border multiprofessional team ; European Union ; Interreg ; reporting ; quality control ; resident ; diagnostic error ; artificial intelligence ; healthcare AI ; deployment and scaling ; medical center ; critical factors ; stakeholders ; health information technology ; information sharing ; hospital costs ; poverty ratio ; concentration ; continuous glucose monitoring ; insulin pump ; continuous subcutaneous insulin infusion ; pediatric diabetes ; biomedical data ; medical imaging ; shared data ; massive databases ; AI-based healthcare solutions ; trueness ; 3D printing ; milling ; interim dental crown ; digital dentistry ; dental device ; data mining ; bio-signal analysis ; bio-signal repository ; execution engine ; bio-signal monitoring ; digital healthcare ; patient-centric ; blockchain ; federated learning ; coronavirus (COVID-19) ; pandemic management ; healthcare transformation ; public health strategies ; stroke detection ; portable head scanner ; low-intensity EM waves ; intrinsically safe ; low carbon footprint ; orthodontic treatment ; clear aligners ; smart application ; AI ; computerized learning ; behavior change techniques ; decision tree algorithm ; digital interventions ; mental health literacy ; audiovisual ; dentistry ; computer-controlled local anesthetic delivery ; ultrasounds ; chemomechanical caries removal ; modern technologies ; laser ; ozone ; healthcare ; emergency department ; patient flow ; simulation modeling ; agent-based modeling ; pandemic decision support ; additive manufacturing ; patient-centric dosage form ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-21
    Description: Supporting initiation, development and resolution of appropriate immune responses is key to survival. Many nutrients and dietary components have been purported to have a role in supporting optimal immune function. This is vital throughout the life course, from the development and programming of the immune system in early life, to supporting immunity and reducing chronic inflammation in older people. In this special issue of Nutrients, we examine the evidence for the role of diet and dietary components in promoting protective immunity.
    Keywords: R5-920 ; RC581-607 ; immunonutrition ; supplementation ; superoxide dismutase (SOD) ; fermented milk ; selenocysteine ; dendritic cells ; lipoxygenase (LOX) ; chronic inflammatory conditions ; formulation ; immune system ; cytokines ; skeletal muscle ; zinc ; non-digestible carbohydrates ; Toll-like receptor ; carbohydrates ; fiber ; lymphocytes ; antibody ; infants ; liver ; macrophage ; inflammatory process ; probiotic ; plant ; older people ; gut barrier ; infection ; amino acids ; gut ; T helper 1 (Th1) ; immunity ; T cells ; bioactive peptide ; inhibitor of kappa kinase (IKK) ; inflammation ; adhesion molecules ; leukocytes ; human milk oligosaccharides ; vitamin D ; food structure ; vitamin E ; mitogen-activated protein Kinase (MAPK) ; gut microbiota ; weaning ; homeostasis ; intestinal immune system ; extra-cellular signal regulated kinases (ERK) ; cyclooxygenase (COX) ; oxidative stress ; life course ; polyphenols ; oligosaccharides ; micronutrients ; Th17 ; obesity ; tolerance ; arachidonic acid ; growth factors ; anti-inflammation ; age-related immunity ; prebiotic ; biomarker ; microbiome ; functional foods ; immunosenescence ; nutrition ; molecular mechanisms ; metabolism ; macronutrients ; toll-like receptor 4 ; sepsis ; nutrition guidelines ; microbiota ; immunomodulation ; inflammatory markers ; elderly ; Th1/Th17 response ; adults ; reactive oxygen species (ROS) ; anorexia nervosa ; macrophages ; autoimmune diseases ; fatty acids ; T cell ; Treg ; breast milk ; nitric oxide synthase (NOS) ; chemokines ; anti-tumorigenic ; metabolites ; deficiency ; protein hydrolysate ; nuclear factor kappa-light-chain-enhancer of activated B cells (NF-?B) ; cancer ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: Today, modern Geotechnical Engineers, who in the past would have considered the phenomena occurring in the (primarily soil) environment, are faced with developments in environmental sciences that are becoming increasingly more detailed and sophisticated, with the natural phenomena and processes surrounding the civil engineering infrastructure being modeled, designed, monitored, and assessed in a more holistic way. This book brings together the state of the art in geotechnics with a focus on sustainable design, resilience, construction, and monitoring of the performance of geotechnical assets from ground investigations, through foundation and drainage design to soil stabilization and reinforcement. Engineers and scientists working in the fields of green infrastructure, nature-based solutions, sustainable drainage, eco-engineering, hydro-geology, landscape planning, plant science, environmental biology or bio-chemistry, earth sciences, GIS, and remote sensing are represented here by articles that show significant geotechnical components or applications. Case studies showcasing the application of the sustainable development principles (e.g., reuse, recycle, reduce; stakeholder engagement; public health; UN Global Sustainability Goals) in Geotechnics are also included in this book.
    Keywords: machine learning ; random forest ; particle swarm optimization ; Vietnam ; Seepage ; Earth-fill dam ; Experimental analysis ; Numerical analysis ; SEEP/W model ; Dam safety and sustainability ; highway construction ; environmental protection ; soil loss ; erosion control ; risk ; hazard ; vulnerability ; landslides ; multicriteria assessment ; analytical hierarchy process ; calcium sulfoaluminate cement ; stabilized soil ; unconfined compressive strength ; hydration products ; microstructure ; sustainability ; geosynthetics ; poly(lactic acid) ; biopolymers ; geogrids ; tensile strength ; 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: 2022-02-01
    Description: This book was proposed and organized as a means to present recent developments in the field of testing of materials and elements in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of testing of different materials and elements in civil engineering, from building materials to building structures. The current trend in the development of testing of materials and elements in civil engineering is mainly concerned with the detection of flaws and defects in concrete elements and structures, and acoustic methods predominate in this field. As in medicine, the trend is towards designing test equipment that allows one to obtain a picture of the inside of the tested element and materials. Interesting results with significance for building practices were obtained.
    Keywords: rock bolt ; grouting quality ; dynamic response ; natural frequency ; finite element method ; monitoring ; historical masonry wall ; hygrothermal processes ; internal insulation ; testing of building materials ; test uncertainty ; validation of test methods ; sustainable test methods ; recycling ; foamed asphalt mixtures with cement (FAC) ; base layer ; reclaimed asphalt pavement (RAP) ; fatigue durability ; GFRP ; FRP reinforcement ; shear ; capacity ; reinforced concrete beams ; column ; stiffness ; FRCM ; PBO mesh ; PBO–FRCM ; carpentry joints ; scarf and splice joints ; stop-splayed scarf joints (‘bolt of lightning’) ; static behaviour ; experimental research ; concrete ; non-destructive testing ; ultrasounds ; ultrasonic tomography ; acoustic methods ; defects ; diagnostic ; detection ; convolutional neural networks ; transfer learning ; monitoring FBG ; power transmission tower ; civil engineering ; X-ray microtomography ; microstructure characteristics ; infiltration damage ; high-strength concrete ; steel fibres ; flexural tensile strength ; fracture energy ; numerical analysis ; concrete floors ; compressive strength ; strength distribution ; industrial floors ; ultrasound tests ; ventilated facades ; large-scale facade model ; fire safety ; fiber cement board ; large-slab ceramic tile ; plasterboards ; moisture content ; hydration processes ; mechanical properties ; ultrasound measurements ; ESD resin ; expansion joint ; quasi-plastic material ; energy absorption ; asphalt mix ; compaction index ; volumetric parameters ; stiffness modulus ; moisture resistance ; roughness ; texture ; close-range photogrammetry ; bond strength ; random field generation ; semivariograms ; hybrid truss bridge ; steel–concrete connection joint ; mechanical behavior ; failure mode ; strain ; static test ; static elastic modulus ; dynamic elastic modulus ; machine learning ; P-wave ; S-wave ; resonance frequency test ; nondestructive method ; Al–Ti laminate ; fracture ; acoustic emission diagnostic ; pattern recognition ; clustering AE signal ; storage systems ; tab connector ; flexural test ; capable design moment ; restrained ring test ; autogenous shrinkage cracking ; concrete cracking test ; concrete shrinkage cracking test ; restrined ring calibration ; cement–fiber boards ; acoustic emission method ; k-means algorithm ; wavelet analysis ; fiber composites ; ground penetrating radar (GPR) ; HMA dielectric constant ; road pavement thickness estimation ; early age concrete ; damage processes detection before loading ; strength of structures ; aggregate ; classification ; wire mesh ; roundness ; tilting angle ; opening size ; concrete centrifugation ; morphology ; image processing ; porosity ; cement ; waste paper sludge ash (WPSA) ; controlled low-strength material (CLSM) ; unconfined compressive strength ; bearing capacity ; backfill material ; P-wave velocity ; amplitude attenuation ; resistivity ; CT scan ; sandstone ; damage variable ; nuclear magnetic resonance ; spin-lattice relaxometry ; proton ; hydration kinetics ; superplasticizer ; ready-mixed concrete ; construction material ; quality assessment ; conformity criteria ; statistical-fuzzy method ; FRTP ; rivet ; connection ; polyethylene pipe ; mechanical properties of polyethylene ; resistance strain ; computer simulation ; residual shear stress ; particle crushing ; ring shear test ; particle flow code (PFC2D) ; frictional work ; fibre-reinforced concrete ; recycled steel fibres ; micro-computed tomography ; scanning electron microscopy ; tensile strength ; reinforced concrete ; diagnostic testing ; corrosion ; carbonation ; galvanostatic pulse method ; phase composition analysis ; X-ray analysis ; thermal analysis ; quasi-brittle cement composites ; low-module polypropylene fibres ; elastic range ; digital image correlation ; Arcan shear test ; wood ; orthotropic shear modulus ; elastic-plastic material ; shear wave velocity ; sand ; bender elements test ; grain-size characteristics ; complex modulus ; shrinkage analysis ; reclaimed asphalt ; mineral–cement emulsion mixtures ; cement dusty by-products (UCPPs) ; degradation of glass panels ; effective area ratio ; relative mass loss ; visible light transmittance ; windblown sand ; wood-plastic composites ; methods of testing resistance to fungi ; methods of assessment ; ground-penetrating radar (GPR) ; non-destructive techniques (NDT) ; corrosion of reinforcement ; slip resistance ; granite floor ; slip resistance value ; ramp test ; acceptance angle ; sliding friction coefficient ; comparability of test methods ; wall temperature ; fibre bragg grating sensors ; freeze-thaw cycles ; signal analysis ; short-time Fourier transform ; fast Fourier transform ; brine ; sodium chloride ; X-ray ; partition walls ; brick walls ; bending strength ; cracking ; post-tension ; cable ; girder ; destructive test ; non-destructive test ; structural health monitoring ; safety ; monitoring fibre Bragg grating ; mining areas ; strain/stress distribution ; geopolymer concrete ; fly-ash ; bottom-ash ; neural network ; sustainability ; industrial waste management ; flexural strength ; cladding ; AE acoustic emission ; micro-events ; sound spectrum ; traditional and quasi-brittle cement composites ; residual-state creep ; saturation front ; landslides ; erosional stability ; laboratory testing ; grout mixtures ; groundwater ; test apparatus ; testing ; building materials ; elements ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.
    Keywords: TA1-2040 ; T1-995 ; optical sensor ; spectral analysis ; response surface sampling ; sensor evaluation ; electromagnetic induction ; multivariate water quality parameters ; mandarin orange ; crop inspection platform ; SPA-MLR ; object tracking ; feature selection ; simultaneous measurement ; diseases ; genetic algorithms ; processing of sensed data ; electrochemical sensors ; thermal image ; ECa-directed soil sampling ; handheld ; recognition patterns ; salt concentration ; clover-grass ; bovine embedded hardware ; weed control ; soil ; field crops ; vineyard ; connected dominating set ; water depth sensors ; SS-OCT ; wheat ; striped stem-borer ; silage ; geostatistics ; detection ; NIR hyperspectral imaging ; electronic nose ; machine learning ; virtual organizations of agents ; packing density ; data validation and calibration ; dataset ; Wi-SUN ; temperature sensors ; geoinformatics ; gas sensor ; X-ray fluorescence spectroscopy ; vegetable oil ; photograph-grid method ; Vitis vinifera ; WSN distribution algorithms ; laser-induced breakdown spectroscopy ; irrigation ; quality assessment ; energy efficiency ; wireless sensor network (WSN) ; geo-information ; Fusarium ; texture features ; weeds ; discrimination ; big data ; soil moisture sensors ; meat spoilage ; land cover ; stereo imaging ; near infrared sensors ; biological sensing ; compound sensor ; pest management ; moisture ; plant localization ; heavy metal contamination ; artificial neural networks ; spectral pre-processing ; moisture content ; apparent soil electrical conductivity ; data fusion ; semi-arid regions ; smart irrigation ; back propagation model ; wireless sensor network ; energy balance ; light-beam ; fluorescent measurement ; agriculture ; precision agriculture ; deep learning ; spectroscopy ; hulled barely ; dielectric probe ; RPAS ; water supply network ; rice leaves ; mobile app ; gradient boosted machines ; hyperspectral camera ; one-class ; nitrogen ; LiDAR ; total carbon ; chemometrics analysis ; rice ; agricultural land ; on-line vis-NIR measurement ; CARS ; obstacle detection ; stratification ; neural networks ; regression estimator ; Kinect ; proximity sensing ; distributed systems ; pest ; noninvasive detection ; texture feature ; soil mapping ; classification ; soil salinity ; visible and near-infrared reflectance spectroscopy ; germination ; computer vision ; hyperspectral imaging ; diffusion ; dielectric dispersion ; UAS ; random forests ; case studies ; total nitrogen ; thermal imaging ; cameras ; dry matter composition ; near-infrared ; salt tolerance ; deep convolutional neural networks ; soil type classification ; water management ; preprocessing methods ; wireless sensor networks (WSN) ; remote sensing image classification ; precision plant protection ; radar ; spatial variability ; GF-1 satellite ; plant disease ; naked barley ; leaf area index ; CIE-Lab ; change of support ; radiative transfer model ; 3D reconstruction ; plant phenotyping ; vine ; near infrared ; vegetation indices ; remote sensing ; greenhouse ; time-series data ; scattering ; sensor ; crop area ; speckle ; spatial data ; grapevine breeding ; wide field view ; partial least squares-discriminant analysis ; spiking ; area frame sampling ; chromium content ; machine-learning ; RGB-D sensor ; pest scouting ; PLS ; Capsicum annuum ; spatial-temporal model ; drying temperature ; boron tolerance ; ambient intelligence ; laser wavelength ; fuzzy logic ; dynamic weight ; landslide ; management zones ; real-time processing ; event detection ; crop monitoring ; apple shelf-life ; rice field monitoring ; wireless sensor ; birth sensor ; proximal sensor ; 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: 2023-04-05
    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: 2023-04-05
    Description: As we know, strokes are one of the world's leading causes of death, and the cruel aspect of a stroke is that it leaves people with severe functional disability and/or cognitive impairment. Strokes have a significant impact on economies worldwide, as it is estimated that about 10% of the male population and 8% of the female population are affected by them. Such people need personal help in their everyday life and must be materially supported by social services. With the advancement of medicine, artificial intelligence, and new technologies have been developing rapidly and are gradually applied in diseases of the nervous system, increasingly helping diagnosis, treatment, rehabilitation, and prognosis of disease.This Special Issue has collected the 14 papers on artificial intelligence and new technologies in strokes, including in the aspects of diagnosis, treatment, prognosis, rehabilitation, and nursing. We welcome your reading.
    Keywords: non-invasive brain stimulation ; stroke ; spasticity ; meta-analysis ; hemiplegia ; electromyographic bridge ; upper limb rehabilitation ; randomized controlled trial ; hypoxic ischemic encephalopathy ; disorders of consciousness ; metabolic connectivity ; positron emission tomography ; 18F-fluorodeoxyglucose ; hand function rehabilitation ; hand rehabilitation robot ; computer vision technology ; wearable devices ; sensors ; artificial intelligence ; brain–computer interface ; active rehabilitation training ; motor function ; brain function ; executive function ; postural control ; gait ; repetitive transcranial stimulation ; facial paralysis ; peripheral magnetic stimulation ; blood flows ; laser speckle ; stroke rehabilitation ; upper limb ; automated system ; motor function assessment ; Fugl-Meyer Assessment ; motor attempt (MA) ; EEG ; deep learning method ; overlapping time window ; facial expression recognition (FER) ; vision transformer (ViT) ; convolutional neural networks (CNNs) ; rehabilitation ; assessment ; upper extremity ; hand ; brain–computer interfaces ; motor task ; sensorimotor rhythm ; hand rehabilitation ; motor imagery ; virtual reality ; rTMS ; DTI ; immersive virtual reality ; post-stroke cognitive impairment ; aging ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MJ Clinical & internal medicine::MJN Neurology & clinical neurophysiology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This overview of the most recent advances in the field of SMA research and applications in civil engineering aims to help remove the knowledge barriers across disciplines and sheds considerable light on the opportunity to commercialize SMA products in the construction industry.
    Keywords: seismic analysis ; rocking pier ; shape memory alloy ; ECC material ; bridge engineering ; television transmission tower ; seismic excitation ; shape memory alloy damper ; parametric study ; vibration control ; shape memory alloys ; engineered cementitious composites ; composites materials ; self-recovery capacity ; bending behavior ; machine learning ; artificial neural networks ; superelastic ; parameter identification ; constitutive model ; thermodynamic parameters ; shape memory alloy (SMA) ; self-centering SMA brace ; loading rate ; initial strain ; energy dissipation coefficient ; self-centering ; beam-column joints ; seismic performance ; iron-based shape memory alloy (Fe-SMA) ; shape memory effect ; martensitic transformation ; prestressing ; low cycle fatigue ; seismic ; damping ; transmission tower ; wind excitation ; SMA damper ; energy response ; viscoelastic ; brace ; hybrid control ; seismic resilience ; self-centering rocking (SCR) piers ; seismic fragility ; resilience ; life-cycle loss ; ferrous shape memory alloys ; prestress ; recovery stress ; relaxation ; thermomechanical behavior ; fatigue ; active materials ; low-cost SMAs ; civil engineering applications ; 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::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented.
    Keywords: Direct Normal Irradiance (DNI) ; IFS/ECMWF ; forecast ; evaluation ; DNI attenuation Index (DAI) ; bias correction ; nowcast ; meteorological radar data ; optical flow ; deep learning ; Bates–Granger weights ; uniform weights ; (REG) ARIMA ; ETS ; Hodrick–Prescott trend ; Google Trends indices ; Himalayan region ; streamflow forecast verification ; persistence ; snow-fed rivers ; intermittent rivers ; costumer relation management ; business to business sales prediction ; machine learning ; predictive modeling ; microsoft azure machine-learning service ; travel time forecasting ; time series ; bus service ; transit systems ; sustainable urban mobility plan ; bus travel time ; learning curve ; forecasting ; production cost ; cost estimating ; semi-empirical model ; logistic map ; COVID-19 ; SARS-CoV-2 ; PV output power estimation ; PV-load decoupling ; behind-the-meter PV ; baseline prediction ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: Hyperbaric oxygen is a known therapeutic agent, and treatments using this agent remain a matter of discussion and research. This Special Issue collection will add new knowledge and also offer some not so usual approaches to foster contemporary understanding and potential benefit for patients and scholars.
    Keywords: hyperbaric oxygen therapy (HBOT) ; Hyperoxia ; wound healing ; antimicrobial properties ; Coronavirus Disease-19 (COVID-19) ; critical flicker fusion frequency ; threshold of flicker fusion ; neuropsychology ; diving and hyperbaric medicine ; minimal hepatic encephalopathy ; diabetes ; hyperbaric oxygen therapy ; glycaemia ; oxygen ; hyperbaric oxygen ; epigenetics ; normobaric oxygen paradox ; hyperoxic-hypoxic paradox ; frostbite ; classification ; cold disease ; prognosis ; amputation ; medical outcome ; atmosphere exposure chambers ; diving physiology ; decompression ; periodontal disease ; oral health index ; dental mobility ; periodontal pockets depth ; subfoveal choroidal thickness ; intraocular pressure ; central corneal thickness ; central serous chorioretinopathy ; flow-mediated dilation ; arterial stiffness ; endothelial dysfunction ; n/a ; FMD ; underwater ; hyperbaric ; commercial diver ; off-shore energy operation ; human ; adverse effects ; autonomic nervous system ; lung ultrasound ; mixed gas diving ; pulmonary function ; technical diving ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book introduces and provides solutions to a variety of problems faced by society, companies and individuals in a quickly changing and technology-dependent world. The wide acceptance of artificial intelligence, the upcoming fourth industrial revolution and newly designed 6G technologies are seen as the main enablers and game changers in this environment. The book considers these issues not only from a technological viewpoint but also on how society, labor and the economy are affected, leading to a circular economy that affects the way people design, function and deploy complex systems.
    Keywords: Industry 4.0 ; cognitive manufacturing ; cognitive load ; human–computer interaction ; 6GIIoE priorities ; 6GIIoE challenges ; 6GIIoE applications ; information system ; sequential methodology ; 6GIIoE theoretical framework ; circular economy ; circular building ; implementation strategies ; design strategies ; circular resource flows ; digital twin ; digital model ; system optimization ; predictive maintenance ; artificial and human intelligence ; security ; risks and risk management ; quality of life ; common welfare ; socio-political assessment ; assembly ; process planning systems ; concurrent engineering ; automotive industry applications ; manufacturing industry applications ; artificial intelligence ; sustainable development ; construction ; civil engineering ; machine learning ; construction engineering ; cognitive data intelligence ; cognitive healthcare ; tiny machine learning ; 6GCIoHE theoretical framework ; data science ; statistical data processing ; predictive analytics ; classification ; clustering ; labor productivity ; health management ; health-saving strategies ; electric power industry ; bridge ; expansion joint ; joint gap ; smart bridge maintenance equipment ; sensor ; structural health monitoring ; line-scan camera ; machine vision ; change management ; COVID-19 ; decision-support model ; digitization ; employee motivation ; employee satisfaction ; human resources ; software tool ; 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: 2022-11-17
    Description: The year 2021 saw the publication of the Special Issue “"Diseases of the Salivary Glands" (https://www.mdpi.com/journal/jcm/special_issues/Salivary_Glands), Part I, covering recent and novel advancements as well as future trends in the field of research evaluating diagnostic and therapeutic treatment of salivary gland (SGs) diseases. Given the enormous success of Part I, the Special Issue “Diseases of the Salivary Glands” Part II has been launched, with the firm belief that it will enrich the panorama of world research in this field. Topics include: 1) Clinical features and presentation of potentially malignant SG disorders; 2) Risk factors and etiopathogenesis of SGs tumors; 3) Etiopathogenesis and molecular mechanisms involved in the chronic inflammatory condition characterizing Sjӧgren’s syndrome; 4) New discoveries in the field of micro RNAs associated with Sjӧgren’s syndrome; 5) Molecular markers linked to development and progression of SG diseases: current knowledge and future implications; 6) More innovative techniques for the study of the SG diseases: current limitations and future directions.
    Keywords: xerostomia ; dry mouth ; protein–protein interaction ; drug target ; head and neck cancer ; Sjögren’s Syndrome ; major histocompatibility complex (MHC) ; human leukocyte antigen (HLA) ; autoantigens ; T cells ; E-cadherins ; salivary glands ; morphogenesis ; EMT ; Sjögren’s syndrome ; autoimmunity ; hydrogen peroxide ; adrenaline ; blood loss ; tonsillectomy ; fibrosis ; pleomorphic adenoma ; epithelial–mesenchymal transition ; carcinoma ex-pleomorphic adenoma ; 99mTc-interleukin-2 ; activated lymphocytes ; inflammation imaging ; Sjögren syndrome ; nuclear medicine ; radiopharmaceuticals ; PET ; SPECT ; Follistatin-like 1 protein ; TGF-β1 ; SMAD2/3 ; fluoride ; sodium fluoride ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The book Green, Energy-Efficient and Sustainable Networks provides insights and solutions for a range of problems in the field of obtaining greener, energy-efficient, and sustainable networks. The book contains the outcomes of the Special Issue on “Green, Energy-Efficient and Sustainable Networks” of the Sensors journal. Seventeen high-quality papers published in the Special Issue have been collected and reproduced in this book, demonstrating significant achievements in the field. Among the published papers, one paper is an editorial and one is a review, while the remaining 15 works are research articles. The published papers are self-contained peer-reviewed scientific works that are authored by more than 75 different contributors with both academic and industry backgrounds. The editorial paper gives an introduction to the problem of information and communication technology (ICT) energy consumption and greenhouse gas emissions, presenting the state of the art and future trends in terms of improving the energy-efficiency of wireless networks and data centers, as the major energy consumers in the ICT sector. In addition, the published articles aim to improve energy efficiency in the fields of software-defined networking, Internet of things, machine learning, authentication, energy harvesting, wireless relay systems, routing metrics, wireless sensor networks, device-to-device communications, heterogeneous wireless networks, and image sensing. The last paper is a review that gives a detailed overview of energy-efficiency improvements and methods for the implementation of fifth-generation networks and beyond. This book can serve as a source of information in industrial, teaching, and/or research and development activities. The book is a valuable source of information, since it presents recent advances in different fields related to greening and improving the energy-efficiency and sustainability of those ICTs particularly addressed in this book
    Keywords: TA1-2040 ; T1-995 ; node speed ; linear recovery ; resource block allocation ; social awareness ; internet-of-things ; scheduling algorithm ; renewables ; neural network ; battery capacity ; energy awareness ; measurement structure ; optimization ; energy efficiency ; charging efficiency ; random structural matrices ; SDN ; water filling algorithm ; ONOS ; energy harvesting ; malware detection ; node density ; HetNets ; sustainability ; cooperative smart community ; adversarial samples ; spatial modulation ; NOMA ; 5G ; light-weight authentication ; green networking ; Device-to-Device (D2D) ; lightweight cipher ; mobile edge computing ; wireless power transfer ; adaptive link rate ; successive interference cancellation (SIC) ; directional charging vehicle ; self-interference cancellation ; proportional rate constraint ; inter-meeting time ; sustainable ; RWSN ; channel state information ; stochastic geometry ; networks ; green internet of things (IoT) ; PHY-layer ; IoT ; Markov chain ; traffic engineering ; QoS ; energy-efficient Ethernet ; power ; lightweight authentication ; energy aware routing ; authentication ; wired access ; amplify-and-forward ; software defined networking (SDN) ; image compressive sensing (CS) ; green ; edge computing ; LTE-A ; opportunistic networks ; RF Fingerprinting ; data centre ; multiple-input multiple-output ; Internet of Things ; machine learning ; peer discovery ; full-duplex ; industrial ; carbon footprint ; WSN ; imperfect CSI ; data center ; symbol error probability ; physical-layer authentication ; interference coordination ; clustering ; control and data plane ; wireless ; ICT ; bisection based optimal power allocation ; energy-efficiency ; consumer preferences ; real-time traffic ; 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: 2023-12-21
    Description: Several promising techniques have been developed to overcome the poor solubility and/or membrane permeability properties of new drug candidates, including different fiber formation methods. Electrospinning is one of the most commonly used spinning techniques for fiber formation, induced by the high voltage applied to the drug-loaded solution. With modifying the characteristics of the solution and the spinning parameters, the functionality-related properties of the formulated fibers can be finely tuned. The fiber properties (i.e., high specific surface area, porosity, and the possibility of controlling the crystalline–amorphous phase transitions of the loaded drugs) enable the improved rate and extent of solubility, causing a rapid onset of absorption. However, the enhanced molecular mobility of the amorphous drugs embedded into the fibers is also responsible for their physical–chemical instability. This Special Issue will address new developments in the area of electrospun nanofibers for drug delivery and wound healing applications, covering recent advantages and future directions in electrospun fiber formulations and scalability. Moreover, it serves to highlight and capture the contemporary progress in electrospinning techniques, with particular attention to the industrial feasibility of developing pharmaceutical dosage forms. All aspects of small molecule or biologics-loaded fibrous dosage forms, focusing on the processability, structures and functions, and stability issues, are included.
    Keywords: R5-920 ; RM1-950 ; antibacterial activity ; piroxicam ; n/a ; tissue engineering ; biotechnology ; polydextrose ; solvent casting ; antibacterial ; drug delivery ; diabetic ; pectin ; nanotechnology ; nanocomposite ; hydroxypropyl methyl cellulose ; poorly water-soluble drug ; artificial red blood cells ; oral dosage form ; Lactobacillus ; scanning electron microscopy ; wound healing ; UV imaging ; wetting ; biocompatibility ; scale-up ; polylactide-co-polycaprolactone ; nanofibers ; growth factor ; drug release kinetics ; hydrogel ; differential scanning calorimetry ; bacterial bioreporters ; physical solid-state properties ; PCL ; coaxial spinning ; drug delivery system ; haemanthamine ; probiotics ; amphiphilic nanofibers ; wound dressings ; grinding ; scanning white light interferometry ; biopharmaceuticals ; clove essential oil ; viability ; plant-origin alkaloid ; oligochitosan ; local delivery ; electrospinning ; Lactococcus ; self-assembled liposomes ; microcapsules ; microfibers ; nanofiber ; in situ drug release ; biomedical ; core-sheath nanofibers ; processability ; polymeric carrier ; aceclofenac ; drying ; gentamicin sulfate ; traditional electrospinning ; electrospinning and electrospray ; fourier transform infrared spectroscopy ; drug release ; gelatin ; ultrasound-enhanced electrospinning ; 3D printing ; bic Book Industry Communication::M Medicine
    Language: English
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  • 85
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This book presents recent advances in the field of bone tissue engineering, including molecular insights, innovative biomaterials with regenerative properties (e.g., osteoinduction and osteoconduction), and physical stimuli to enhance bone regeneration.
    Keywords: bone ; collagen type I ; alginate ; conditioned medium ; viability ; MSC ; osteogenesis ; pulsed electromagnetic field ; osteogenic factors ; wool keratin scaffolds ; bone tissue engineering ; biocompatibility ; biomaterials ; bone augmentation ; bone conduction ; bone grafting ; calcium hydroxyapatite ; tissue regeneration ; dental implants ; osseointegration ; osteoporosis ; zoledronate ; animal model ; titanium membrane ; titanium foil ; occlusive titanium barrier ; guided bone regeneration ; osteoporotic condition ; xenograft ; bone regeneration ; titanium implants ; additive manufacturing ; reused powder ; unit cell topology ; tissue engineering ; mechanical properties ; stem cells ; surface functionalization ; titanium ; protein adsorption ; surface modifications ; cell interactions ; collagen hydrogel ; cell delivery ; olfactory ectomesenchyme stem cells ; bioactive glasses ; alkali-free ; sol–gel ; bone remodeling ; bone disorders ; biomechanics ; scaffolds ; microenvironment ; 3D bioprinting ; computational modeling ; bone implant ; bone defects ; chitosan ; degree of deacetylation ; bone formation ; X-ray micro CT ; histology ; sheep tibia ; bic Book Industry Communication::M Medicine
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  • 86
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: This reprint focuses on the current progress in sports medicine, with a specific interest in surgery, exercise therapy, and multi-disciplinary research. With the advancement of society, more attention is paid to the quality of life, which emphasizes the importance of sports and exercise. Correspondingly, there is a great need for sports medicine. This issue collected novel findings on sports medicine in surgery, conservative therapy, and the application of exercise training in other disorders
    Keywords: shoulder ; rotator cuff ; allografts ; demineralized bone matrix ; biologics ; diabetes mellitus ; aerobic training ; resistance training ; vascular function ; meta-analysis ; femoroacetabular impingement ; hip arthroscopy ; longitudinal capsulotomy ; femoroplasty ; labrum repair ; degenerative lumbar diseases ; albumin-to-alkaline phosphatase ratio ; spinal fusion rate ; prognostic marker ; arterial hypertension ; exercise hypertension ; blood pressure ; exercise testing ; sports injuries ; machine learning ; injury prediction ; sports monitorization ; elite football ; performance ; systemic inflammation ; physical endurance ; physical fitness ; maximal aerobic capacity ; gingivitis ; cardiac rehabilitation ; exercise therapy ; balance exercises ; cardiovascular diseases ; ACLR ; hamstring tendon with preserved tibial insertion ; MRI ; T2 ; cartilage volume ; gait retraining ; running-related injuries ; kinetics ; kinematics ; rehabilitation ; rotator cuff tear ; rotator cuff repair ; bone quality ; osteopenia ; osteoporosis ; anchor pullout ; pullout strength ; n/a ; bic Book Industry Communication::M Medicine
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  • 87
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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
    Language: English
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  • 88
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Almost all fields of dentistry are closely related to newly developed materials, and all clinical improvements often follow, or, in any case, go hand in hand with the creation and the development of innovative and higher performing materials, instruments, and equipment. Thanks to contemporary applications of dental materials, the effectiveness of clinical dentistry has made remarkable advances. In recent years, thanks to digital technology and the frenetic development of the dental industry, new materials have been developed and proposed in many fields of dentistry: prosthesis, restorative dentistry, endodontics, implantology, and orthodontics. Unfortunately, as often happens, this productive challenge is not always accompanied by valid scientific research, and consequently the clinician finds new materials at their disposal that are not necessarily better than the old. Further studies are needed to gain relevant evidence for all recently introduced dental materials. This reprint includes research articles, clinical studies, review articles, and case reports focused on the latest advances and prospects of dental materials concerning all fields of dentistry.
    Keywords: MIH ; hypersensitivity ; enamel infiltration ; hypomineralization ; marginal adaptation ; fixed partial denture ; dental technology ; cobalt–chromium alloys ; scanning electron microscopy ; titanium ; dental implants ; hydrophilic ; hydrocarbon ; biological ageing ; UV photofunctionalization ; alveolar bone defects ; guided bone regeneration ; titanium meshes ; customized titanium meshes ; laser melting process ; electron beam melting ; composite restoration ; microleakage ; oblique layering technique ; horizontal layering technique ; composite ; fluorescence ; de-bonding ; residuals ; enamel damage ; orthodontics ; radiolucent sign ; OPG ; CBCT ; third molar ; oral surgery ; periapical sign ; biofilm ; bone healing capacity ; infected gutta-percha ; rat calvarium ; zirconia ; airborne particle abrasion ; femtosecond laser ; flexural strength ; surface roughness ; bond strength ; brackets ; dry ; wet and moistened enamel ; adhesion ; calcium phosphate ; radiation-induced center ; hyperfine interaction ; EDNMR ; ESEEM ; ENDOR ; biomaterial ; bone regeneration ; bone substitute ; dental implant ; octacalcium phosphate ; TiN ion plating ; metal allergy ; orthodontic wire ; micro-implants ; success rate ; insertion ; loading ; biocompatibility ; compliance ; dental material ; restorative material ; glass ionomer ; resin-modified glass ionomer ; pH ; acidity ; oral environment ; dental filling ; dental restoration ; apical negative pressure irrigation ; calcium hydroxide removal ; intracanal medicament ; mechanical activation ; ultrasonic activation ; osseoincorporation ; osseointegration ; trabecular metal ; guided tissue regeneration ; barrier membranes ; allergology ; demineralized dentin matrix ; human demineralized dentin matrix ; human ; bone graft ; FT-MIR ; SEM ; 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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  • 89
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: Beer is a beverage with more than 8000 years of history, and the process of brewing has not changed much over the centuries. However, important technical advances have allowed us to produce beer in a more sophisticated and efficient way. The proliferation of specialty hop varieties has been behind the popularity of craft beers seen in the past few years around the world. Craft brewers interpret historic beer with unique styles. Craft beers are undergoing an unprecedented period of growth, and more than 150 beer styles are currently recognized. This Special Issue, Brewing and Craft Beer, comprises nine different works by researchers from five continents (North America, South America, Europe, Africa, and Oceania). This Special Issue reflects thus a broad perspective on the most important questions that concern the researchers in different parts of the world.
    Keywords: QH301-705.5 ; QD415-436 ; Q1-390 ; polyphenols ; n/a ; nutrient ; audible sound ; wet milling ; brewing technology ; robotics ; fast-screening ; lactose ; image analysis ; bottle refermentation ; beer aging ; sensory attributes ; brewing ; automation ; bitterness ; stout beer ; beer ; craft beer ; foamability ; Safrari ; adjuncts ; fermentation rate ; barley milling ; preference ; germ ; beer wort ; machine learning ; carbonation ; quality ; FAN ; granulometry ; sensory evaluation ; coffee ; beer acceptability ; computer vision ; fermentation ; economic contribution analysis ; short-chain fatty acids ; local value chain ; AEDA ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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  • 90
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.
    Keywords: SVM ; budding rate ; UAV ; geometric consistency ; radiometric consistency ; point clouds ; ICP ; reflectance maps ; vegetation indices ; Parrot Sequoia ; artificial intelligence ; precision agriculture ; agricultural robot ; optimization algorithm ; online operation ; segmentation ; coffee leaf rust ; machine learning ; deep learning ; remote sensing ; Fourth Industrial Revolution ; Agriculture 4.0 ; failure strain ; sandstone ; digital image correlation ; Hill–Tsai failure criterion ; finite element method ; reference evapotranspiration ; moisture sensors ; machine learning regression ; frequency-domain reflectometry ; randomizable filtered classifier ; convolutional neural network ; U-Net ; land use ; banana plantation ; Panama TR4 ; aerial photography ; remote images ; systematic mapping study ; agriculture ; applications ; total leaf area ; mixed pixels ; Cabernet Sauvignon ; NDVI ; Normalized Difference Vegetation Index ; precision viticulture ; 3D model ; spatial vision ; fertirrigation ; teaching–learning ; spectrometry ; Sentinel-2 ; pasture quality index ; normalized difference vegetation index ; normalized difference water index ; supplementation ; decision making ; digital agriculture ; grape yield estimate ; berries counting ; Dilated CNN ; machine learning algorithms ; classification performance ; winter wheat mapping ; large-scale ; water stress ; Prunus avium L. ; stem water potential ; low-cost thermography ; thermal indexes ; canopy temperature ; non-water-stressed baselines ; non-transpiration baseline ; soil moisture ; andosols ; image processing ; greenhouse ; automatic tomato harvesting ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 91
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Various molecular techniques based on omics (transcriptomics, proteomics, genomics) and phylogenetics have been applied in biological sciences. Molecular dynamics and approaches evolved over time into various quantitative tools that allow researchers from multiple disciplines to design different studies. The molecular-based techniques can be comprehensive and systematic, as they allow identification, resolve genetic differences, molecular docking, and prediction models of ecological niches and taxonomic ranks. Investigating genomics, proteomics, and phylogenetic techniques utilize a novel class of DNA elements, such as microsatellites from mitochondria and chloroplast and retrotransposons, resulting in genetic variations using molecular data. In addition to this, the advantages and limitations of molecular approaches have been well studied and acknowledged. The combination of molecular phylogenetic and omics techniques and expression and pathways analysis may greatly increase our capacity to understand and develop new molecular mechanisms and stress responses in biological systems. Furthermore, these techniques offer extensive opportunities for researchers to develop targeted therapy approaches and disease diagnoses using molecular data. It is necessary to evaluate and explore how data from diverse molecular techniques can be applied to different biological studies. The study and applications of molecular approaches hold significant potential for advancing genomics, proteomics, and phylogenetic techniques in biological sciences.
    Keywords: autophagy-related protein ; degradation ; ubiquitin ; proteasome ; autophagy ; Bacillus thuringiensis ; Cry toxin ; nematicidal activity ; pore-formation ; diabetes ; vaccines ; clinical trials ; insulin ; GLP ; nitric oxide ; antioxidants ; metal-stress related transcripts ; rice ; Pb-stress ; Aurisin A ; beta-cyclodextrins ; inclusion complex ; lung cancer ; ruxolitinib ; JAK inhibitor ; rheumatoid arthritis ; molecular modeling ; TOR ; photosynthesis ; cell growth ; AZD8055 ; Auxenochlorella pyrenoidosa ; ovarian cancer ; somatic BRCA mutational status ; digital pathology ; machine learning ; artificial intelligence ; super-secondary structure ; 3β-corner ; folding nuclei ; structure stability ; H Ferritin subunit ; PRDX6 ; protein-protein interaction ; seed-specific transcription factors ; signaling pathways ; seed size ; seed development ; juvenile idiopathic arthritis ; transcriptome-wide association study ; gene-based association analysis ; enrichment analysis ; gene regulatory network ; computational cancer biology ; precision medicine ; oxaliplatin and capecitabine (XELOX) ; data bank ; AlphaFold 2.0 ; graph neural network ; protein features ; nasopharyngeal carcinoma ; bioinformatics ; genes ; melon ; CmSUN ; IQ67 domain ; expression analysis ; overexpression phenotype ; fruit shape regulation ; protein interaction ; smooth muscle titin ; protein aggregates ; amyloid aggregation ; amyloids ; cross-β ; 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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  • 92
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-02
    Description: Higher education has been considered both an ‘engine’ for innovation and a ‘catalyst’ for sustainability development; the integration of both the innovation engine and sustainability catalyst roles are discussed in a recently published Special Issue on the theme of Higher Education in Innovation Ecosystems in the journal Sustainability. Based on 16 articles contributing to the Special Issue from various perspectives, the Special Issue editors have developed an overarching framework about the relationships between higher education and innovation ecosystems. In the framework, we re-define the concept of innovation ecosystem and identify emerging roles of universities in developing sustainable innovation ecosystems. Re-conceptualization of innovation ecosystems In the editorial of the Special Issue, innovation ecosystem is defined as: co-innovation networks in which actors from organizations concerned with the functions of knowledge production, wealth creation, and norm control interact with each other in forming co-evolution and interdependent relations (both direct or indirect) in cross-geographical contexts and through which new ideas and approaches from various internal and external sources are integrated into a platform to generate shared values for the sustainable transformation of society. Compared with most commonly cited definitions of innovation ecosystem, our definition highlights three new aspects of interactions in co-innovation networks: cross-sectoral, transnational, and indirect, drawing insights from the literature including innovation, geography, and biology studies. The roles of universities in innovation ecosystems The emerging roles of universities in innovation ecosystems are as follows: (1) The role of universities is changing from being a central player in technology transfer to being an anchor in knowledge exchange; (2) universities are assuming a new role in trust-building between actors in innovation ecosystems; and (3) universities are not merely an entrepreneurial universities but are also institutional entrepreneur in the innovation ecosystem. The three emerging roles all indicate that universities are becoming the catalysts for sustainable development in innovation ecosystems. Knowledge exchange is crucial for sustainability; trust is the foundation of the sustainable networks; social entrepreneurship is indispensable for sustainable social change. Evidence in wider contexts A total of 44 authors from 10 countries contributed to the discussions on the changing roles of higher education in innovation ecosystems from varying perspectives. They also report transformations within higher education and universities’ responses to both external and internal transformations. When addressing these issues, the studies provide both theoretical and methodological contributions to the research on higher education in innovation ecosystems. The 16 articles can be generally placed into four categories: (1) new demands for universities arising from the transformation in society toward innovation ecosystems, (2) transformations within higher education responding to emerging societal demands, (3) dynamics of the interaction of university with other innovation actors in a transnational context, and (4) academic and student mobility for higher education innovation. Calling for a new research agenda While societal changes demand broader roles of universities, they also call for and leads to substantial changes within the internal fabric of the university. The innovations in both society and the universities necessitate a renewed understanding of higher education in society, which has become a new research agenda in studies on innovation in higher education. We hope our Special Issue will inspire and encourage more scholars to join the research field.
    Keywords: transnational industry cooperation ; transnational university cooperation ; transnational innovation ecosystem ; EU–China ; science, technology and innovation cooperation ; transdisciplinary approach ; artificial intelligence ; machine learning ; Higher Education ; University ; Entrepreneurial competences ; Employability ; Theory of Planned Behaviour (TPB) ; Open Innovation ; business creation ; technology transfer ; innovation ; innovation ecosystem ; entrepreneurship education ; science and technology ; sustainability ; higher education ; educational innovation ; Mexico ; academic mobility ; knowledge transfer ; higher education innovation ; institutional environment ; postgraduate education ; education level ; discipline background ; graduation institution ; R&amp ; D investment ; triple helix ; synergy mechanism ; national system of innovation ; China ; Belt and Road Initiative ; developmental model of intercultural sensitivity ; general model of instructional communication ; instructional beliefs model ; intercultural communication competence model ; green GDP ; environment ; sustainable development ; global innovation systems ; Chinese research university ; faculty income ; academic labor market ; ordinary labor market ; joint R&amp ; D institute ; institutional logics ; China’s innovation system ; China’s transnational Triple Helix linkages ; problem-solving ; critical reflection ; knowledge integration ; social learning ; systemic thinking ; entrepreneurial university ; entrepreneurship ; influencing factors ; sustainable universities ; corporate sustainability ; tensions ; integrative framework ; Finnish universities ; higher education system ; social entrepreneurship ; entrepreneurial universities ; business model innovation ; socialist economies ; Cuba ; knowledge brokers ; knowledge intensive policies ; smart specialisation ; innovation ecosystems ; global talent ; social integration ; economic integration ; Chinese student ; Finland ; university ; third mission ; knowledge-based society ; global innovation networks ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::J Society and Social Sciences::JN Education
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  • 93
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –
    Keywords: Traffic sign detection and tracking (TSDR) ; advanced driver assistance system (ADAS) ; computer vision ; 3D convolutional neural networks ; machine learning ; CT brain ; brain hemorrhage ; visual inspection ; one-class classifier ; grow-when-required neural network ; evolving connectionist systems ; automatic design ; bio-inspired techniques ; artificial bee colony ; image analysis ; feature extraction ; ship classification ; marine systems ; citrus ; pests and diseases identification ; convolutional neural network ; parameter efficiency ; vehicle detection ; YOLOv2 ; focal loss ; anchor box ; multi-scale ; deep learning ; neural network ; generative adversarial network ; synthetic images ; tool wear monitoring ; superalloy tool ; image recognition ; object detection ; UAV imagery ; vehicular traffic flow detection ; vehicular traffic flow classification ; vehicular traffic congestion ; video classification ; benchmark ; semantic segmentation ; atrous convolution ; spatial pooling ; ship radiated noise ; underwater acoustics ; surface electromyography (sEMG) ; convolution neural networks (CNNs) ; hand gesture recognition ; fabric defect ; mixed kernels ; cross-scale ; cascaded center-ness ; deformable localization ; continuous casting ; surface defects ; 3D imaging ; defect detection ; object detector ; object tracking ; activity measure ; Yolo ; deep sort ; Hungarian algorithm ; optical flows ; spatiotemporal interest points ; sports scene ; CT images ; convolutional neural networks ; hepatic cancer ; visual question answering ; three-dimensional (3D) vision ; reinforcement learning ; human–robot interaction ; few shot learning ; SVM ; CNN ; cascade classifier ; video surveillance ; RFI ; artefacts ; InSAR ; image processing ; pixel convolution ; thresholding ; nearest neighbor filtering ; data acquisition ; augmented reality ; pose estimation ; industrial environments ; information retriever sensor ; multi-hop reasoning ; evidence chains ; complex search request ; high-speed trains ; hunting ; non-stationary ; feature fusion ; multi-sensor fusion ; unmanned aerial vehicles ; drone detection ; UAV detection ; visual detection ; 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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  • 94
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-11-30
    Description: Childhood cancer or pediatric cancer is one of the leading causes of death among children. Treatment strategies for pediatric cancers include chemotherapy, surgery, radiation, and stem cell transplantation. These therapeutic regimens are well known to develop highly toxic and long-lasting side-effects including secondary cancers in the future lifespan of pediatric patients. Despite these intensive therapeutic regimens, cancer may still relapse as refractory and metastatic cancer. Therefore, further understanding the causes of different pediatric cancers, mechanisms of drug-resistance, and causes of relapse and metastasis is required for developing and advancing less toxic and more effective therapeutic strategies for pediatric cancers. Recent advancements in immunotherapies and targeted therapeutic approaches using pharmacological inhibitors are one step in this direction.In this Special Issue of Cancers, authors contributed original research and review articles focusing on different aspects of pediatric cancer development, causes, maintenance, and therapeutic strategies. The collected articles in this Special Issue will further enhance our knowledge and understanding of pediatric cancers and drive the development of novel therapeutic strategies.
    Keywords: infections ; cancer ; children ; bacteremia ; pneumonia ; sarcoma ; solid tumor ; outcome ; KI67 ; EZRIN ; 18F-FDG PET/CT ; random forest ; radiogenomics ; chemotherapy response ; metastasis ; serine-threonine kinase receptor-associated protein ; neuroblastoma ; CRISPR-Cas9 ; metronomic chemotherapy ; maintenance therapy ; high-risk ; Ewing sarcoma ; RNA-binding proteins ; regulation network ; prognosis prediction ; risk model ; melanotic neuroectodermal tumor of infancy ; inoperable ; metastatic ; recurrent ; chemotherapy ; adjuvant ; neoadjuvant ; systemic treatment ; childhood malignant bone tumors ; survivorship ; late effects ; somatic disease ; cohort study ; rhabdomyosarcoma ; targeted therapies ; cell surface proteomics ; B7-H3 ; stress ; allostasis ; stress regulatory pathways ; stress dysregulation ; stress reactivity ; early life stress ; childhood cancer ; cytotoxic cancer treatment ; interventions ; ependymoma ; risk stratification ; molecular group ; prognosis ; nephroblastoma ; clinical malformations ; cancer predisposition syndromes ; tumor surveillance ; n/a ; DSRCT ; EWSR1-WT1 ; preclinical model ; in vitro model ; pediatric cancer ; pediatric ; brain ; tumor ; medulloblastoma ; glioma ; natural products ; drug discovery ; fungal secondary metabolites ; soil microbes ; RH30 ; RD ; EZH2 ; epigenetic ; EPZ005687 ; DZNep ; AdOx ; malignant rhabdoid tumor ; hepatoblastoma ; small cell undifferentiated (SCUD) hepatoblastoma ; SMARCB1 ; INI1 ; pediatric liver tumors ; drug repurposing ; PI3K pathway ; epigenetics ; Fimepinostat ; LPAR1 ; LPA ; tumor metastasis ; bioinformatics analysis ; ulixertinib ; ERK inhibition ; combination therapy ; c-Myc/N-Myc ; cell differentiation ; ATRA ; SOX4 ; diffuse intrinsic pontine glioma ; immunotherapy ; immune microenvironment ; immune checkpoint inhibitor ; vaccine ; oncolytic virus ; myeloid sarcoma ; chloroma ; acute myeloid leukemia ; pediatric cancers ; VIPN ; DIC ; MDR ; drug transporters ; childhood acute leukemia ; early complication ; hyperleukocytosis ; risk factor ; survival outcome ; 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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  • 95
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-24
    Description: Endometriosis is defined as the presence of endometrial-like endometrial cells, glands, and stroma outside the uterus, causing a strong inflammatory-like microenvironment in the affected tissue. The exact prevalence of endometriosis is unknown, but estimates range from 2%–10% of women of reproductive age, to 50% of infertile women. Its etiopathogenesis of endometriosis still remains controversial—immune, hormonal, genetic, and epigenetic factors may be all involved, and several theories have been proposed to explain it.This book aims to summarize recent ground-breaking studies that may open new scenarios and change the perspective of the topic, including cutting-edge elements about diagnosis, pharmacologic and surgical treatments, as well as basic/translational science (immunology, cell biology, genetics, and epigenetics) pieces of evidence, to unravel new pathways to follow for the future diagnosis and management of endometriosis, and to improve our current knowledge of its aetiology.
    Keywords: BTG1 ; endometriosis ; human endometrial stromal cells ; endometrium ; uterus ; purinergic signaling ; ATP ; pathogenesis ; genetics ; epigenetics ; immunology ; ion channels ; etiology ; CFTR ; aquaporin ; chloride channels ; biomarker ; angiogenesis ; cytokines ; urinary biomarkers ; genetic polymorphisms ; SNPs ; aetiology ; Mediterranean population ; Sardinian population ; peritoneal fluid ; microenvironment ; precision medicine ; bic Book Industry Communication::M Medicine
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  • 96
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: This Special Issue focuses on the current state of pharmacogenomics (PGx) and the extensive translational process, including the identification of functionally important PGx variation; the characterization of PGx haplotypes and metabolizer statuses, their clinical interpretation, clinical decision support, and the incorporation of PGx into clinical care.
    Keywords: pharmacogenomics ; return of results ; genetic counseling ; qualitative ; pharmacogenetics ; implementation ; pharmacogenetics service ; screening ; pre-emptive ; personalized medicine ; precision medicine ; community pharmacy ; pharmacogenomic testing ; genetic privacy ; pharmaco-economics ; polymorphisms ; pharmacogenes ; pharmacogenomic ; machine learning ; adaptation ; human evolution ; US Food and Drug Administration ; clinical actionability ; clinical translation ; chronic kidney disease ; CYP3A5 ; polymorphism ; progression ; pharmacogenomics (PGx) ; pediatrics ; best practice alerts (BPAs) ; electronic health records (EHR) ; genomic indicators ; clinical decision support (CDS) ; phenotype ; genotype ; polypharmacy ; chronic disease ; medication management ; electronic medical record ; artificial intelligence ; 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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  • 97
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The researchers involved in this reprint will continue their studies to improve the existent dental biomaterials in order to achieve optimal dental treatment with biocompatible, bioactive, and stable properties. As the Guest Editors, we sincerely value and thank the reviewers for their insightful comments and the support of the team at Bioengineering. Finally, we express our gratitude to all contributing authors for their valuable research. Altogether, the 16 research papers/reviews in this Special Issue entitled "Recent Advances in Biomaterials and Dental Disease" reflect the importance of in vitro and in vivo studies for improving the efficacy of using biomaterials in dental treatment.
    Keywords: adhesion ; bonding ; dental porcelain ; glass ceramics ; orthodontic bracket ; shear strength ; aligner ; cytotoxicity ; estrogenicity ; invisalign ; monomer ; retainer ; 3D resin ; endodontic sealer ; polyphenols ; resveratrol ; pyrogallol ; biological activity ; piezoelectric surgery ; endodonticsurgery ; crack formation ; ultrasonic tip ; retropreparation ; antibacterial effect ; dental impressions ; disinfectant agents ; disinfection ; oral bacteria ; implant periapical lesion ; implant failure ; peri-implantitis ; endodontic surgery ; complication ; retreatment procedure ; filling materials removal ; revision system ; sonic activation ; oval-shaped canal ; decontamination ; lithium disilicate ; resin ; saliva ; shear bond strength ; crowns ; fixed prosthodontics ; resin composite ; survival ; bond strength ; contact angle ; dentin ; desensitizers ; resin cements ; 3D printing ; digital light processing ; interim crown ; in vivo study ; wear ; endodontists ; general practicing dentists ; root canal treatment ; quality ; undergraduate students ; traumatic dental injury ; tooth fracture ; adhesive reattachment ; pulp ; regeneration ; revitalization ; transplant ; root ; maxillary premolars ; upper premolars ; canal ; root canal anomalies ; anatomical variations ; root morphology ; coneless ; MEA technique ; n/a ; bic Book Industry Communication::M Medicine
    Language: English
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  • 98
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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
    Language: English
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  • 99
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-12-21
    Description: In this special issue of Diagnostics, expert contributors have produced up-to-date research studies and reviews on various topics related to the diagnosis of dementia and cognitive impairment. The methods of the assessments discussed extend from simple neurological signs, which may be elicited in the clinical encounter, through cognitive screening instruments, to sophisticated analyses of neuroimaging and cerebrospinal fluid biomarkers of disease. It is hoped that these various methods may facilitate earlier diagnosis of dementia and its subtypes, and provide differential diagnosis of depression and functional cognitive disorders, as a prelude to meaningful interventions.
    Keywords: R5-920 ; screening ; MoCA ; neurodegeneration ; accuracy ; frontotemporal dementia ; cognitive assessment ; Free-Cog ; molecular imaging ; Alzheimer’s ; standardised mini-mental state examination ; decision tree ; differential diagnosis depression vs. MCI/dementia ; computerized cognitive assessment ; quantification ; Alzheimer’s disease ; functional cognitive disorder ; diagnosis ; Triple Test ; diagnostic imaging ; neurocognitive disorder ; feasibility ; TYM-MCI ; amyloid ; cerebrospinal fluid ; dementia ; precision medicine ; Mini-Addenbrooke’s Cognitive Examination ; memory ; depression in old age ; quick mild cognitive impairment screen ; cognition ; nuclear medicine ; TYM ; Rapid Cognitive Screen ; 18F-FDG ; functional neurological disorder cognition ; stroke ; sensitivity and specificity ; Codex ; mortality ; mild cognitive impairment ; cognitive screening instruments ; cognitive impairment ; aging ; SKT (Syndrom-Kurztest) ; PET ; executive function ; bic Book Industry Communication::M Medicine
    Language: English
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  • 100
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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
    Language: English
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