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  • bic Book Industry Communication::M Medicine  (628)
  • machine learning  (591)
  • MDPI - Multidisciplinary Digital Publishing Institute  (1,163)
  • Springer  (5)
  • English  (1,168)
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  • English  (1,168)
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  • 1
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    Electrospun and Electrosprayed Formulations for Drug Delivery (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
    Language: English
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  • 2
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    Beverage Consumption Habits around the World: Association with Total Water and Energy Intakes (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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    Advances in Computer-Aided Technology (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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    From Ptolemaus to Copernicus: The Evolving System of Gluten-Related Disorder (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
    Language: English
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  • 5
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    Current Trends and Future Directions in Prosthetic and Implant Dentistry in the Digital Era (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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    COVID-19: Current Status and Future Prospects (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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    Machine Learning and Data Mining Applications in Power Systems (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
    Language: English
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  • 8
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    Artificial Intelligence Techniques in Hydrology and Water Resources Management (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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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    Advances in Computational Intelligence Applications in the Mining Industry (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
    Language: English
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  • 10
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    Empowering Materials Processing and Performance from Data and AI (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
    Language: English
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