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26 results on 'LN cat08778a'

1. Advances in Public Transport Platform for the Development of Sustainability Cities.

Author

Corchado, Juan M., Larriba-Pey, Josep L., Chamoso, Pablo, De la Prieta, Fernando, and Corchado, Juan M.

Subjects
Technology: general issues, History of engineering & technology, Environmental science, engineering & technology, optimization models, timetable, passenger waiting time, vehicle occupancy ratio, intelligent transportation systems, demand prediction, taxi recommendation, vehicle social network, ride-hailing, urban rail transit (URT), exploratory data analysis (EDA), data envelopment analysis (DEA), sustainable transport systems, intelligent transportation systems (ITS), big-data applications, dynamic bus travel time prediction, wide and deep, data fusion, attention, recurrent neural network, deep neural networks, intelligent transportation, railway, CPS, security, safety, critical infrastructure, carsharing, data analysis, delays, demand, public transit, taxi, complex network analysis, centrality measures, network robustness, ridership patterns, clustering analysis, passenger flow, Barcelona underground, artificial intelligence, Big Data analytics, forecasting systems, recommender system, Fintech, passenger traffic, artificial neural network, regression analysis, reputation algorithm, users' reputation, transport, software application, deep learning, energy consumption, sustainable cities, transfer learning, wastewater treatment plants, unmanned aerial vehicles (UAVs), multi-objective optimization, integer programming, GLPK, variable neighborhood search, search and rescue, learning recommender system, learning object, learning videos, content-based, collaborative filtering, users' profiling, data extraction, natural language processing, mapping application, time series forecasting, HTM, regression, machine intelligence, cyber-attack detection, IoT, trust, energy trading, trusted negotiations, n/a
Abstract

Summary: Modern societies demand high and varied mobility, which in turn requires a complex transport system adapted to social needs that guarantees the movement of people and goods in an economically efficient and safe way, but all are subject to a new environmental rationality and the new logic of the paradigm of sustainability. From this perspective, an efficient and flexible transport system that provides intelligent and sustainable mobility patterns is essential to our economy and our quality of life. The current transport system poses growing and significant challenges for the environment, human health, and sustainability, while current mobility schemes have focused much more on the private vehicle that has conditioned both the lifestyles of citizens and cities, as well as urban and territorial sustainability. Transport has a very considerable weight in the framework of sustainable development due to environmental pressures, associated social and economic effects, and interrelations with other sectors. The continuous growth that this sector has experienced over the last few years and its foreseeable increase, even considering the change in trends due to the current situation of generalized crisis, make the challenge of sustainable transport a strategic priority at local, national, European, and global levels. This Special Issue will pay attention to all those research approaches focused on the relationship between evolution in the area of transport with a high incidence in the environment from the perspective of efficiency.

2. Advances in Sustainable and Digitalized Factories: Manufacturing, Measuring Technologies and Systems.

Author

Calvo, Roque, Yagüe-Fabra, José A., Tosello, Guido, and Calvo, Roque

Subjects
Technology: general issues, History of engineering & technology, Industry 4.0, continuous improvement, lean manufacturing, lean production systems, lean 4.0, systematic literature review, tiny RFID, metallic electromagnetic isolation, analog manometer, Ansys HFSS simulator, passive digitization, ontology, production simulation, multi-agent, digital twin, augmented reality, industry 4.0, quality 4.0, metrology, assembly, turbine blades, re-manufacturing, uncertainty, robust scheduling, case-based reasoning, failure mode, effect and criticality analysis, knowledge-based system, nearest neighbor, reliability-centered maintenance, virtual reality, cyber physical system, OPC UA, CAD, industrial IoT, prototyping, retrofitting solutions, embedded solutions, low-cost, value chain, additive manufacturing, subtractive manufacturing, cost comparison, plant simulation, technology comparison, hybrid dependability modelling, production scheduling, dynamic failure rate, discrete event simulation, time-driven simulation, machine learning, manufacturing, artificial intelligence, smart manufacturing, digitization, smart surface, friction force field, under-actuation, feeding, simulation, material flow handling, intralogistics, robotic bin-picking, simulation model, ADAMS, pick-point determination, MATLAB/Simulink, 2-F robotic gripper, performance analysis, plastic injection molding, design of experiments, process optimization, facility layout problem, evolutionary algorithms, numerical modeling, multi-objective optimization, n/a
Abstract

Summary: The book is the reprint of the Special Issue 'Advances in Sustainable and Digitalized Factories: Manufacturing, Measuring Technologies and Systems' published in the journal Applied Science (MDPI). It contains 17 articles, including 1 Editorial, 14 Research Papers, and 2 Reviews.

3. Advances of Machine Design in Italy 2022.

Author

Ceccarelli, Marco, Carbone, Giuseppe, Gasparetto, Alessandro, and Ceccarelli, Marco

Subjects
Technology: general issues, History of engineering & technology, Mechanical engineering & materials, precision agriculture, mobile manipulation, motion planning, analytic Jacobian, inverse kinematics, manipulability, history of mms, italian history of mechanism design, models of mechanisms, history of teaching, italian mechanism collections, kinematics, planar mechanism, instant center, singular configuration, machine design, drone-based package delivery, UAV transportation, embedded payload, packaging, quick-release system, hypoid gears, friction, wear, elasto-hydrodynamic lubrication, automatic machines, planar parallel mechanism, five bar linkage, design optimization, vibration reduction, lightweight gears, finite-element analysis, multibody simulation, design space exploration, transmission error, squeeze film damper, seal instability, rotor dynamics, lubrication, UGVs, reconfigurable robots, mechatronic design, field robotics, path and trajectory planning, rollover detection, heavy vehicles, off-road applications, predictive algorithms, artificial intelligence, load transfer ratio, gas micro-turbine, discriminant analysis, vibrational analysis, diesel blends, kerosene, biofuel, statistical index, accelerometer, confusion matrix, Cohen's kappa, human-robot collaboration, human-in-the-loop, virtual reality, obstacle avoidance, configuration-dependent substructuring, dynamics of linkages, three-points linkage, vibrations, feeding, rotary device, functional synthesis, mechanical design, applied mechanics, tribology, Boundary Elements Methods, n/a
Abstract

Summary: This reprint contains a Special Issue of the MDPI journal Machines on Italian advances in mechanism and machines science through a collection of selected papers from the Fourth International Conference of IFToMM Italy, IFIT 2022. The included papers belong to a broad range of disciplines in MMS, with research and design results that can be of interest not only to scholars in the field of MMS and mechanical engineering but also to professionals and even students, broadening their understanding of the problems and solutions under development, mainly, but not only, from the Italian community.

4. Artificial Intelligence and Ambient Intelligence.

Author

Gams, Matjaz, Gjoreski, Martin, and Gams, Matjaz

Subjects
Information technology industries, robotic hand, control, perception, tactile sensing, mechatronics, grasping, manipulation, PUT-Hand, underactuated, multi-modal fusion, machine learning, robotics, perception for grasping, effective computing, emotion system, emotional machine, agent, human-machine interface, Wi-Fi, CSI, crowd counting, Doppler spectrum, information society, electronics, artificial intelligence, ambient intelligence, one-dimensional depth sensor, biometrics, identification, affective computing, cognitive load, psychophysiology, supervised learning, n/a
Abstract

Summary: This book includes a series of scientific papers published in the Special Issue on Artificial Intelligence and Ambient Intelligence at the journal Electronics MDPI. The book starts with an opinion paper on "Relations between Electronics, Artificial Intelligence and Information Society through Information Society Rules", presenting relations between information society, electronics and artificial intelligence mainly through twenty-four IS laws. After that, the book continues with a series of technical papers that present applications of Artificial Intelligence and Ambient Intelligence in a variety of fields including affective computing, privacy and security in smart environments, and robotics. More specifically, the first part presents usage of Artificial Intelligence (AI) methods in combination with wearable devices (e.g., smartphones and wristbands) for recognizing human psychological states (e.g., emotions and cognitive load). The second part presents usage of AI methods in combination with laser sensors or Wi-Fi signals for improving security in smart buildings by identifying and counting the number of visitors. The last part presents usage of AI methods in robotics for improving robots' ability for object gripping manipulation and perception. The language of the book is rather technical, thus the intended audience are scientists and researchers who have at least some basic knowledge in computer science.

5. Artificial Intelligence and Cognitive Computing. Methods, Technologies, Systems, Applications and Policy Making.

Author

Lytras, Miltiadis, Visvizi, Anna, and Lytras, Miltiadis

Subjects
Information technology industries, data mining, decision-making system, rough set, mixed integer linear programming, assembly clearance, diesel engine quality, Internet of things, Wireless nodes, Hybrid clustering, Multi-hop routing, Network lifetime, Artificial intelligence, data envelopment analysis, decision making, artificial intelligence, performance, visual analytics, system, air quality, spatiotemporal, multivariate, dimension reduction, clustering, regular patterns, anomalies, speech recognition, Long Short Term Memory (LSTM), speech output correction, most-matching, empirical correlations, rheological properties, real-time, water-based drill-in fluid, artificial neural network, elastic parameters, Poisson's ratio, sandstone, self-adaptive differential evolution, total organic carbon, barnett shale, devonian shale, fishbone multilateral wells, predictive models, well productivity, international research, knowledge map visualization, policy documents quantification, research hotspot, policy keyword, minimum miscibility pressure (MMP), CO2 flooding, new models, face recognition, security, spoofing, histogram of oriented gradients, smart cities, deep learning, LSTM, neural networks, location prediction, trajectories, smart tourism, static Young's modulus, sandstone formations, machine learning, n/a
Abstract

Summary: Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today's world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.

6. Assistive Technologies, Robotics, and Automated Machines in the Health Domain.

Author

Giansanti, Daniele and Giansanti, Daniele

Subjects
Medical equipment & techniques, n/a, rehabilitation, virtual reality, upper extremity, virtual rehabilitation, Facebook advertisements, personalized advertisements, social media, precision medicine, public health informatics, public health communications, consumer health informatics, population health, human immunodeficiency virus, diagnosis, acquired immunodeficiency syndrome, regulation, artificial intelligence, digital radiology, medical devices, child patient, care robot, caregiver, hospitalization, testing, motor coordination, screening tool, robotic exoskeletons, servo motor, brushless, brushed, actuators, torque, centre mass, clinical decision, U-Net, CNN, CAD system, brain tumor, classification, segmentation, humanoid social robot, older adults, living alone, loneliness, social isolation, home-based, spinal cord injuries, assistive technology, tongue barbell piercing, tongue drive system, inductive tongue control system, rehabilitation robot, assistive technology sports rehabilitation, continuation therapy, degenerative diseases, elder, telemedicine, expectation confirmation theory, trust typology theory, personal privacy concerns, urination and defecation care, automation, multi-sensor fusion detection algorithm, stroke, gait robot, goal setting, Remote Monitoring Digital Solutions (RMDSs), elderly patient, mental and emotional decline, COVID-19, exoskeleton device, gait, robot, personal satisfaction, physical fitness, orthodontics, AI, ChatGPT, AI Treatment Assessment, Teledentistry Cephalometrics
Abstract

Summary: The field of healthcare is constantly evolving and advancing with new technologies and innovations. Among these, assistive technologies, robotics, and automated machines are rapidly gaining ground as powerful tools to improve the quality of care and enhance patient outcomes. From wearable devices that monitor vital signs to surgical robots that assist in complex procedures, these technologies have the potential to revolutionize the way we deliver healthcare. The development and the integration of assistive technologies, care robots, and automated machines are strategic both as single components, when paired together, and when interconnected in the health domain.This reprint explores the latest developments in assistive technologies, robotics, and automated machines in the health domain, providing a comprehensive overview of their applications and potential impact. The reprint is for the benefit of healthcare professionals, researchers, engineers, and students interested in these rapidly evolving fields.

7. Creating Age-friendly Communities. Housing and Technology.

Author

van Hoof, Joost, Marston, Hannah R., Brittain, Katie, Barrie, Helen, and van Hoof, Joost

Subjects
Medicine, physical environment/space, nursing homes, small-scale living, green care farms, engagement, social interaction, long-term care facilities, older adults, gerontechnology, dementia-friendly environments, aids and adaptations, loneliness, domestic settings, ICT, Age in Place, Disability, Smart Technology, Intergenerational Relationships, Connected Health, smart health, older people, co-design, digital life-world, smart cities, retirement community, privacy, research ethics, artificial intelligence, robots, living alone, older immigrants, Canada, U.S., older age-friendly housing, dementia, technology, perspectives, informal caregivers, formal caregivers, rural ageing, qualitative research methods, intergenerational, social connectedness, community networks, cardiology, wearable devices, community care, primary care, clinical care, scoping review, meaningful activities, transition, nursing home, citizen science, built environment, urban neighbourhoods, GIS, spatial, Australia, n/a
Abstract

Summary: The "Creating Age-friendly Communities: Housing and Technology" publication presents contemporary, innovative, and insightful narratives, debates, and frameworks based on an international collection of papers from scholars spanning the fields of gerontology, social sciences, architecture, computer science, and gerontechnology. This extensive collection of papers aims to move the narrative and debates forward in this interdisciplinary field of age-friendly cities and communities.

8. Data Analytics and Applications of the Wearable Sensors in Healthcare.

Author

Syed Abdul, Shabbir, Luque, Luis Fernandez, Garcia-Gomez, Juan Miguel, Garcia-Zapirain, Begoña, Hsueh, Pei-Yun, and Syed Abdul, Shabbir

Subjects
Humanities, Social interaction, eHealth, wearable, monitoring, services, integration, IoT, Telemedicine, wearable sensors, multivariate analysis, longitudinal study, functional decline, exercise intervention, accidental falls, fall detection, real-world, signal analysis, performance measures, non-wearable sensors, accelerometers, cameras, machine learning, smart textiles, healthcare, talking detection, activity recognition and monitoring, patient health and state monitoring, wearable sensing, orientation-invariant sensing, motion sensors, accelerometer, gyroscope, magnetometer, pattern classification, artificial intelligence, supervised machine learning, predictive analytics, hemodialysis, non-contact sensor, heart rate, respiration rate, heart rate variability, time-domain features, frequency-domain features, principal component analysis, behaviour analysis, classifier efficiency, personal risk detection, one-class classification, actigraphy, encoding, data compression, denoising, edge computing, signal processing, wearables, activity monitoring, citizen science, cluster analysis, physical activity, sedentary behavior, walking, energy expenditure, wearable device, impedance pneumography, neural network, mechanocardiogram (MCG), smart clothes, heart failure (HF), left ventricular ejection fraction (LVEF), technology acceptance model (TAM), physical activity classification, free-living, GENEactiv accelerometer, Gaussian mixture model, hidden Markov model, wavelets, skill assessment, deep learning, LSTM, state space model, probabilistic inference, latent features, human activity recognition, MIMU, genetic algorithm, feature selection, classifier optimization, bispectrum, entropy, feature extraction, heat stroke, filtering algorithm, physiological parameters, exercise experiment, biomedical signal processing, wearable biomedical sensors, wireless sensor network, respiratory monitoring, optoelectronic plethysmography, biofeedback, biomedical technology, exercise therapy, orthopedics, mobile health, qualitative, human factors, inertial measurement unit, disease prevention, occupational healthcare, P-Ergonomics, precision ergonomics, musculoskeletal disorders, wellbeing at work, electrocardiogram, conductive gels, noncontact electrode, myocardial ischemia, pacemaker, ventricular premature contraction, upper extremity, motion, action research arm test, activities of daily living, IoT wearable monitor, health, posture analysis, spinal posture, wearable sensor, embedded system, recurrent neural networks, physical workload, wearable systems for healthcare, machine learning for real-time applications, actigraph, body worn sensors, clothing sensors, cross correlation analysis, healthcare movement sensing, wearable devices, calibration, inertial measurement units, human movement, physical activity type, real-life, GPS, GIS, n/a
Abstract

Summary: This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled "Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases" as a part of Sensors journal.

9. Data Science in Healthcare.

Author

Hulsen, Tim and Hulsen, Tim

Subjects
Medicine, Pharmacology, data sharing, data management, data science, big data, healthcare, depression, psychological treatment, task sharing, primary care, pilot study, non-specialist health worker, training, digital technology, mental health, COVID-19, SARS-CoV-2, pneumonia, computed tomography, case fatality rate, social distancing, smoking, metabolically healthy obese phenotype, metabolic syndrome, obesity, coronavirus, machine learning, social media, apache spark, Twitter, Arabic language, distributed computing, smart cities, smart healthcare, smart governance, Triple Bottom Line (TBL), thoracic pain, tree classification, cross-validation, hand-foot-and-mouth disease, early-warning model, neural network, genetic algorithm, sentinel surveillance system, outbreak prediction, artificial intelligence, vascular access surveillance, arteriovenous fistula, end stage kidney disease, dialysis, kidney failure, chronic kidney disease (CKD), end-stage kidney disease (ESKD), kidney replacement therapy (KRT), risk prediction, naïve Bayes classifiers, precision medicine, machine learning models, data exploratory techniques, breast cancer diagnosis, tumors classification, n/a
Abstract

Summary: Data science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to create value based on extracting knowledge and insights from available data. Advances in data science have a significant impact on healthcare. While advances in the sharing of medical information result in better and earlier diagnoses as well as more patient-tailored treatments, information management is also affected by trends such as increased patient centricity (with shared decision making), self-care (e.g., using wearables), and integrated care delivery. The delivery of health services is being revolutionized through the sharing and integration of health data across organizational boundaries. Via data science, researchers can deliver new approaches to merge, analyze, and process complex data and gain more actionable insights, understanding, and knowledge at the individual and population levels. This Special Issue focuses on how data science is used in healthcare (e.g., through predictive modeling) and on related topics, such as data sharing and data management.

10. Efficiency and Optimization of Buildings Energy Consumption: Volume II.

Author

Orosa, José A. and Orosa, José A.

Subjects
Research & information: general, Physics, ventilation, energy, COVID-19, procedure, building, ISO, energy consumption, building construction, Passivhaus, affordable housing, neural network, LSTM, MLP, thermal inertia, building performance, artificial intelligence, artificial neural network, demand-side management, evolutionary computing, non-intrusive appliance load monitoring, parallel computing, smart grid, smart house, cellular concrete, lightweight materials, thermal conductivity, electricity, dynamic simulation, housing, climate change, weather controlled central system, energy saving, thermal improved of buildings, new energy technologies, sustainable buildings, energy efficiency, heat loss coefficient, machine learning, XGBoost, SVR, load disaggregation, multi-scale, attention mechanism, residual network, energy savings, daylighting, photovoltaic system, EnergyPlus, Homer PRO, Net Zero Energy Buildings, solar radiation, support vector machine, heuristic algorithm, renewable energy, solar energy systems, n/a
Abstract

Summary: This reprint, as a continuation of a previous Special Issue entitled "Efficiency and Optimization of Buildings Energy Consumption", gives an up-to-date overview of new technologies based on Machine Learning (ML) and Internet of Things (IoT) procedures to improve the mathematical approach of algorithms that allow control systems to be improved with the aim of reducing housing sector energy consumption.

11. Intelligent Sensors for Human Motion Analysis.

Author

Krzeszowski, Tomasz, Świtoński, Adam, Kepski, Michal, Calafate, Carlos Tavares, and Krzeszowski, Tomasz

Subjects
Technology: general issues, History of engineering & technology, gait recognition, biometrics, regularized discriminant analysis, particle swarm optimization, grey wolf optimization, whale optimization algorithm, FMCW, vital sign, XGBoost, MFCC, COVID-19, 3D human pose estimation, deep learning, generalization, optical sensing principle, modular sensing unit, plantar pressure measurement, gait parameters, 3D human mesh reconstruction, deep neural network, motion capture, neural networks, reconstruction, gap filling, FFNN, LSTM, BILSTM, GRU, pose estimation, movement tracking, computer vision, artificial intelligence, markerless motion capture, assessment, kinematics, development, machine learning, human action recognition, features fusion, features selection, recognition, fall risk detection, balance, Berg Balance Scale, human tracking, elderly, telemedicine, diagnosis, precedence indicator, knowledge measure, fuzzy inference, rule induction, posture detection, aggregation function, markerless, human motion analysis, gait analysis, data augmentation, skeletal data, time series classification, EMG, pattern recognition, robot, cyber-physical systems, RGB-D sensors, human motion modelling, F-Formation, Kinect v2, Azure Kinect, Zed 2i, socially occupied space, facial expression recognition, facial landmarks, action units, convolutional neural networks, graph convolutional networks, artifact classification, artifact detection, anomaly detection, 3D multi-person pose estimation, absolute poses, camera-centric coordinates, deep-learning, n/a
Abstract

Summary: The book, "Intelligent Sensors for Human Motion Analysis," contains 17 articles published in the Special Issue of the Sensors journal. These articles deal with many aspects related to the analysis of human movement. New techniques and methods for pose estimation, gait recognition, and fall detection have been proposed and verified. Some of them will trigger further research, and some may become the backbone of commercial systems.

12. Machine Learning in Tribology.

Author

Tremmel, Stephan, Marian, Max, and Tremmel, Stephan

Subjects
Technology: general issues, History of engineering & technology, artificial intelligence, machine learning, artificial neural networks, tribology, condition monitoring, semi-supervised learning, random forest classifier, self-lubricating journal bearings, reduced order modelling, dynamic friction, rubber seal applications, tensor decomposition, laser surface texturing, texturing during moulding, digital twin, PINN, reynolds equation, triboinformatics, databases, data mining, meta-modeling, monitoring, analysis, prediction, optimization, fault data generation, Convolutional Neural Network (CNN), Generative Adversarial Network (GAN), bearing fault diagnosis, unbalanced datasets, tribo-testing, tribo-informatics, natural language processing, tribAIn, BERT, amorphous carbon coatings, UHWMPE, total knee replacement, Gaussian processes, rolling bearing dynamics, cage instability, regression, neural networks, random forest, gradient boosting, evolutionary algorithms, rolling bearings, remaining useful life, feature engineering, structure-borne sound, n/a
Abstract

Summary: Tribology has been and continues to be one of the most relevant fields, being present in almost all aspects of our lives. The understanding of tribology provides us with solutions for future technical challenges. At the root of all advances made so far are multitudes of precise experiments and an increasing number of advanced computer simulations across different scales and multiple physical disciplines. Based upon this sound and data-rich foundation, advanced data handling, analysis and learning methods can be developed and employed to expand existing knowledge. Therefore, modern machine learning (ML) or artificial intelligence (AI) methods provide opportunities to explore the complex processes in tribological systems and to classify or quantify their behavior in an efficient or even real-time way. Thus, their potential also goes beyond purely academic aspects into actual industrial applications. To help pave the way, this article collection aimed to present the latest research on ML or AI approaches for solving tribology-related issues generating true added value beyond just buzzwords. In this sense, this Special Issue can support researchers in identifying initial selections and best practice solutions for ML in tribology.

13. Numerical and Evolutionary Optimization 2021.

Author

Quiroz, Marcela, de la Fraga, Luis Gerardo, Lara, Adriana, Trujillo, Leonardo, Schütze, Oliver, and Quiroz, Marcela

Subjects
Information technology industries, Computer science, distributor's pallet loading problem, heuristics, bin packing, real-life instances, emergency medical services, emergency medicine, decision-support system, pre-hospital emergency care, ambulance response time, machine learning, geo-indistinguishability, differential privacy, privacy-preserving machine learning, input perturbation, estimation of distribution algorithm, Mallows model, moth-flame algorithm, job shop scheduling problem, quay crane scheduling problem, first-passage time, Markov chain, queueing theory, simulation, OR in health services, KPI, wind energy, wind turbine blades, erosion, modal analysis, aerodynamic analysis, AutoML, feature selection, fault severity assessment, gearboxes, XGBoost classifiers, autism, attention, ASD, learning activities, EEG, BCI, features, artificial intelligence, Grouping Genetic Algorithm, variable decomposition, Large-Scale Constrained Optimization, DVT, early diagnosis, machine-learning, smart system, embedded system, edge computing, edge device, OpenFOAM, CFD, ANFIS, ANFIS (GA), ANFIS (PSO), ANFIS (FFA), nonlinear programming, largest small polygons (LSP), {LSP(n)} model-class, optimal area sequence {A(n)}, revised LSP model, mathematica model development environment, IPOPT solver engine, numerical optimization results and regression model for estimating {A(n)}, n/a
Abstract

Summary: This reprint was established after the 9th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.

14. Pediatric Fractures.

Author

van Bergen, Christiaan J. A. and van Bergen, Christiaan J. A.

Subjects
Medicine, 3D ultrasonography, wrist, fractures, pediatric, artificial intelligence, humerus fracture, proximal humeral fracture, children, plate fixation, ORIF, tissue entrapment, biceps, COVID-19, pediatric trauma HUB, outbreak, ER admissions, pediatric fractures, pediatric injuries, non-accidental trauma, self-defense, violence, adolescent, dexterity, biomechanics, shock index, pediatric age-adjusted shock index, trauma, pediatric trauma, mortality, forearm malunion, osteotomy, patient-specific guides, 3D, NSAIDs, ibuprofen, fracture healing, pediatrics, evidence-based recommendations, recurrent patellar dislocation, knee injury, medial patellofemoral ligament reconstruction, supracondylar humerus fracture, vascular injury, brachial artery injuries, bone fractures, osteogenesis imperfecta, clavicle, fracture, pseudarthrosis, treatment, diagnosis, e-cigarette, vaping, adolescent health, pediatric orthopedics, surgery, orthopedics, supracondylar humerus, night, reduction, after-hours, brittle bone disease, rehabilitation, collagen, injury prevention, fracture risk, global recommendations on physical activity for health, SQUASH questionnaire, multi-center, adolescents, pediatric orbital fracture, orbital trapdoor fracture, n/a, titanium elastic nails, tibial fracture, elastic stable intramedullary nailing (ESIN), physeal, physis, long-bone fractures in children, pediatric facial fractures, etiology, epidemiology, Romania, fat pad sign (FPS), elbow, survey, receiver operating characteristic (ROC), intraclass correlation coefficients (ICC), anterior fat pad sign (AFPS), posterior fat pad sign (PFPS), apophysial avulsion, rectus femoris tendon, sport, pediatric radial neck fracture, radial neck angulation, elbow motion
Abstract

Summary: This reprint contains original research and review chapters concerning the latest advancements in various topics related to pediatric fractures. Topics include fractures of the face, clavicle, shoulder, elbow, forearm, wrist, pelvis, femur, and tibia; special considerations focus on osteogenesis imperfecta patients; and consideration is also given to general pediatric fracture topics, such as the influence of the COVID-19 pandemic, mortality after pediatric trauma, the effects of NSAID and electronic cigarette use, and chapters on epidemiology and physical activity.

15. Personalized Diagnosis and Therapy for Multiple Sclerosis.

Author

Ramo-Tello, Cristina M. and Ramo-Tello, Cristina M.

Subjects
Public health & preventive medicine, cognition, cognitive impairment, neuroimaging, longitudinal, predictors, multiple sclerosis, lifestyle behavior, MS management, MS phenotype, quality of life, natalizumab, extended interval dose, biomarker, CD49d, sVCAM-1, immunomonitoring, personalized dose, prognosis, machine learning, artificial intelligence, relapse, pseudo-relapses, methylprednisolone, treatment algorithm, multiple sclerosis treatment, escalating strategy, he-DMT, diseases modifying therapies, early intense therapy, teleconsultation, internet, feasibility, digital health, neuromyelitis optica spectrum disorder, health-related quality of life, mood, n/a
Abstract

Summary: We all agree that people with MS need to be cared in a profoundly personalized way. The care of the patient with MS is still based on the presence of relapses, so their successful diagnosis and treatment is fundamental and will condition the therapeutic strategies to follow with the patient. The treatment strategies are a highly controversial topic of debate that is increasingly supported by robust objective biological markers of response and that also increasingly take into account the dynamics and predictors of cognitive impairment along the disease course, which includes the adoption of new trends in the field of machine learning techniques. However, we all know that patient care goes beyond being treated with drugs and we cannot overlook reminding patients of the importance of their lifestyle behaviors that vary according to the MS phenotype, in order to improve their quality of life. Teleconsultation is a new care strategy proved to be feasible and well-received by patients with MS that will undoubtedly become reinforced because it will allow a closer follow-up of the patient without the need for displacement.

16. Pharmacogenomics. From Basic Research to Clinical Implementation.

Author

Scheinfeldt, Laura B. and Scheinfeldt, Laura B.

Subjects
Medicine, Pharmacology, 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
Abstract

Summary: 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.

17. Recent Advances in Minimally Invasive Surgery.

Author

Biebl, Matthias, Alkatout, Ibrahim, and Biebl, Matthias

Subjects
Medicine, ovarian cancer, laparoscopy, minimally invasive surgery, survival, mortality, platelet-rich plasma (PRP), thin endometrium, hysteroscopy, robotic surgery, sexuality, laparoscopic hysterectomy, learning curve, quality of life, counseling, patient-doctor-relationship, body donors, surgical education, clinical anatomy, live surgery events, neuropelveology, LION procedure, genital nerves stimulation, chronic pelvic pain, esophagectomy, esophageal cancer, Ivor-Lewis procedure, health-related quality of life, cervical cancer, robotic radical hysterectomy, recurrence rate, surgery, artificial intelligence, machine learning, augmented reality, hysterectomy, NOTES, minimally invasive, systematic review, meta-analysis, pediatric surgery, fetal surgery, single-incision surgery, surgical techniques, surgical devices, open surgery, endoscopy, endoscopic surgery, cysts of the canal of Nuck, Nuck hydrocele, hydrocelectomy, TAPP, Lichtenstein, colorectal liver metastases, laparoscopic liver surgery, minimal invasive surgery, general anesthesia, anesthetics, perioperative care, laparoscopic surgery, endometrial cancer, lymphadenectomy, embryology, sentinel lymph node mapping, indocyanine green, PMMR, technical aspects, rectal cancer, mesorectal, transanal, laparoscopic, local recurrence, conversion rate, minimally invasive surgical procedures, radiotherapy, ovarian neoplasms, endometrial neoplasms, uterine cervical neoplasms, vaginal neoplasms, vulvar neoplasms, survival analysis, n/a, video feedback, video modeling, gynecology, surgical training, pelvitrainer, prolapse, pelvic floor, native tissue, pectopexy, robotic assisted surgery, pancreatic surgery, pancreaticoduodenectomy, pelvic floor repair, laparoscopic repair, vaginal repair, mesh use, VATS, pain, postoperative pain control, thoracic surgery, lung cancer, intercostal catheter, opioid, regional anaesthesia, hepatectomy, single-port laparoscopy, radiofrequency pre-coagulation, endometriosis, endometrioma surgery, ovarian reserve, anti-Müllerian hormone, spontaneous pregnancy, robotic liver resection, da Vinci, intraoperative imaging, hepatocellular cancer, real-life imaging, hepatic metastasis, COVID-19, sars-cov-2, surgical performance, 3D printing, skill assessment, snorkel mask, malabsorption, Roux-en-Y gastric bypass, one-anastomosis gastric bypass, SADI-S, biliopancreatic diversion, weight regain, hepatocellular carcinoma, cholangiocarcinoma, risk score, pelvic compartments, embryologic development, oncologic surgery, pelvic lymphonodectomy, topographic anatomy, autonomic pelvic nerves, uterine cancer, prostate cancer, diaphragmatic hernia, liver resection, hernia repair, mesh, enterothorax
Abstract

Summary: Minimally invasive surgery has become a common term in visceral as well as gynecologic surgery. It has almost evolved into its own surgical speciality over the past 20 years. Today, being firmly established in every subspeciality of visceral surgery, it is now no longer a distinct skillset, but a fixed part of the armamentarium of surgical options available. In every indication, the advantages of a minimally invasive approach include reduced intraoperative blood loss, less postoperative pain, and shorter rehabilitation times, as well as a marked reduction of overall and surgical postoperative morbidity. In the advent of modern oncologic treatment algorithms, these effects not only lower the immediate impact that an operation has on the patient, but also become important key steps in reducing the side-effects of surgery. Thus, they enable surgery to become a module in modern multi-disciplinary cancer treatment, which blends into multimodular treatment options at different times and prolongs and widens the possibilities available to cancer patients. In this quickly changing environment, the requirement to learn and refine not only open surgical but also different minimally invasive techniques on high levels deeply impact modern surgical training pathways. The use of modern elearning tools and new and praxis-based surgical training possibilities have been readily integrated into modern surgical education,which persists throughout the whole surgical career of modern gynecologic and visceral surgery specialists.

18. Swarms and Network Intelligence.

Author

Altshuler, Yaniv, Pereira, Francisco Camara, David, Eli, and Altshuler, Yaniv

Subjects
Information technology industries, Computer science, generative design, automated learning, evolutionary learning, co-design, genetic programming, human behavior, socioeconomic status, data analysis, social media, crowd-sourcing, wisdom of the crowd, social learning, Bayesian models, risk, Docker Swarm, leader election, privilege escalation, defense evasion, cloud, collective intelligence, crowdsourcing, policymaking, public policy, e-participation, literature review, deep learning, cybersecurity, artificial intelligence, swarm intelligence, adversarial AI, information theory, entropy, models, neural networks, communication, multi-agent, deep reinforcement learning, partial observability, distributed estimation, Sparse Bayesian Learning, exploration, swarm, multi-agent systems, consensus, D-optimal design, mobile crowdsensing, UAV control, graph network, maximum-entropy learning, mobile robotics, swarms, crowd dynamics, natural algorithms, locusts, n/a
Abstract

Summary: This reprint covers a wide range of topics related to collective intelligence, exploring the interplay between swarm intelligence, network intelligence, and other emerging technologies. The first set of chapters focuses on the behavior and mechanisms of swarming. One chapter describes a locust-inspired model of collective marching on rings, while another demonstrates the experimental validation of entropy-driven swarm exploration under sparsity constraints using sparse Bayesian learning. These studies provide new insights into the principles of swarming and its potential applications in fields such as robotics and mobile crowdsensing. The next set of chapters discusses the integration of swarm intelligence with other emerging technologies such as deep learning and graph theory. These studies show how swarm intelligence can be combined with other advanced technologies to solve complex problems and improve decision-making processes. The reprint also covers the topic of network intelligence, including the study of social network analysis, Twitter user activity, and crowd-sourced financial predictions. These studies provide insights into how network intelligence can be harnessed to understand social dynamics and improve decision-making processes in various domains. The reprint concludes with a chapter that proposes a generative design approach for the efficient mathematical modeling of complex systems.

19. Systems Engineering: Availability and Reliability.

Author

Antosz, Katarzyna, Machado, Jose, Mazurkiewicz, Dariusz, Antonelli, Dario, Soares, Filomena, and Antosz, Katarzyna

Subjects
Technology: general issues, History of engineering & technology, Quality check, bike frame, mathematical model, graphical user interface, risk management, safety assurance, medical parallel robot, robotic assisted cancer treatment, risk performance reasoning, hidden Markov model, Handy bauxite carrier, process safety, performance evaluation, safety, coupling correlation, risk assessment, multi-dimensional theory, precision steel tape, tape transportation, roller-tape interactions, roller-tape contact pair, reliability, truck unloading system, petroleum equipment, preventive maintenance, cork-rubber composites, compression, apparent compression modulus, Young's modulus, bonded condition, importance measure, cost, inventory systems, air compression system, nitrogen generation system, utility module, availability, sensitivity analysis, predictive maintenance, Industry 4.0, Internet of Things, artificial intelligence, machine learning, maintenance, predictive scheduling, flow shop, job shop, ant colony optimisation, on-line monitoring, collaborative robots, human robot collaboration, time between failure (TBF), common beta hypothesis (CBH) test, meta-analysis, level of heterogeneity, mean time between failure (MTBF), text mining, network-based distributed manufacturing systems, moth flame optimization algorithm, support vector machines, Naive Bayes, random forest, decision trees, supplier classification, machining centre, DSM, Copula function, fault propagation intensity, fault propagation behaviour, lubricity, gear oil, wear, operational reliability, n/a
Abstract

Summary: Current trends in Industry 4.0 are largely related to issues of reliability and availability. As a result of these trends and the complexity of engineering systems, research and development in this area needs to focus on new solutions in the integration of intelligent machines or systems, with an emphasis on changes in production processes aimed at increasing production efficiency or equipment reliability. The emergence of innovative technologies and new business models based on innovation, cooperation networks, and the enhancement of endogenous resources is assumed to be a strong contribution to the development of competitive economies all around the world. Innovation and engineering, focused on sustainability, reliability, and availability of resources, have a key role in this context. The scope of this Special Issue is closely associated to that of the ICIE'2020 conference. This conference and journal's Special Issue is to present current innovations and engineering achievements of top world scientists and industrial practitioners in the thematic areas related to reliability and risk assessment, innovations in maintenance strategies, production process scheduling, management and maintenance or systems analysis, simulation, design and modelling.

20. Systems Radiology and Personalized Medicine.

Author

de Jong, Pim A., Foppen, Wouter, Tolboom, Nelleke, and de Jong, Pim A.

Subjects
Medicine, COVID-19, chest X-ray, deep learning, convolutional neural network, Grad-CAM, computed tomography, image analysis, osteoarthritis, reliability, FDG-PET/CT, infection, bloodstream infection, endocarditis, vascular graft infection, spondylodiscitis, cyst infection, white blood cell scintigraphy, total body PET/CT, radiotracers, artificial intelligence, contrast media, body composition, large vessel vasculitis, atherosclerosis, imaging, FDG-PET, radiological imaging, MRI, non-contrast, venography, TRANCE, QFlow, neuroblastoma, nuclear medicine, radionuclide imaging, [123I]mIBG, [124I]mIBG, [18F]mFBG, [18F]FDG, [68Ga]Ga-DOTA peptides, [18F]F-DOPA, [11C]mHED, chronic limb-threatening ischemia, peripheral arterial disease, calcification pattern, diffuse idiopathic skeletal hyperostosis, risk factors, adiposity, intra-abdominal fat, cardiorenal syndrome, imaging biomarker, tissue characterization, cerebral aneurysm, computational fluid dynamics, hemodynamic, morphological, rupture, n/a
Abstract

Summary: Medicine has evolved into a high level of specialization using the very detailed imaging of organs. This has impressively solved a multitude of acute health-related problems linked to single-organ diseases. Many diseases and pathophysiological processes, however, involve more than one organ. An organ-based approach is challenging when considering disease prevention and caring for elderly patients, or those with systemic chronic diseases or multiple co-morbidities. In addition, medical imaging provides more than a pretty picture. Much of the data are now revealed by quantitating algorithms with or without artificial intelligence. This Special Issue on "Systems Radiology and Personalized Medicine" includes reviews and original studies that show the strengths and weaknesses of structural and functional whole-body imaging for personalized medicine.

21. The Application of Computer Techniques to ECG Interpretation.

Author

Macfarlane, Peter and Macfarlane, Peter

Subjects
Medicine, electrocardiographic imaging (ECGI), heart failure (HF), cardiac resynchronization therapy (CRT), ultrasound, strain, speckle tracking echocardiography, in silico, electrophysiology, electrocardiogram, ECG, cardiac disease, arrhythmia, ischemia, standardization, computerized ECG, personalized medicine, telemedicine, digital ECG data interchange protocol, eHealth, ECG equipment, computerized electrocardiograph, ECG analysis algorithms, computerized ECG interpretation, interatrial block, partial interatrial block, advanced interatrial block, atypical patterns, electrocardiogram (ECG), automated ECG analysis, CSE study, age, sex, race, historical aspects, electronic cohort, mortality, big data, telehealth, alarm fatigue, annotation of ECG data, arrhythmia alarms, intensive care unit, patient monitoring, ambulatory ECG, machine learning, deep learning, pattern recognition, noise reduction, Holter ECG, ECG interpretation, artificial intelligence, body surface mapping, electrocardiographic imaging, image processing, clinical applications, n/a
Abstract

Summary: This book presents some of the latest available information on automated ECG analysis written by many of the leading researchers in the field. It contains a historical introduction, an outline of the latest international standards for signal processing and communications and then an exciting variety of studies on electrophysiological modelling, ECG Imaging, artificial intelligence applied to resting and ambulatory ECGs, body surface mapping, big data in ECG based prediction, enhanced reliability of patient monitoring, and atrial abnormalities on the ECG. It provides an extremely valuable contribution to the field.

22. The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?

Author

Giansanti, Daniele and Giansanti, Daniele

Subjects
Medical equipment & techniques, n/a, eHealth, medical devices, mHealth, digital radiology, picture archive and communication system, artificial intelligence, electronic surveys, chest CT, chest radiography, AI, radiology, awareness, radiographers, radiologists, e-health, m-health, digital-pathology, cytology, histology, diagnostic pathology, breast cancer, bibliometric analysis, healthcare, medical imaging, VOSviewer, digital-radiology, artificial-intelligence, acceptance, consensus, information technology, cardiology, imaging, cervical cancer screening, colposcopy, deep learning, machine learning, medical students, perceptions, digitization in medicine
Abstract

Summary: This book is a reprint of the Special Issue entitled "The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?". Artificial intelligence is extending into the world of both digital radiology and digital pathology, and involves many scholars in the areas of biomedicine, technology, and bioethics. There is a particular need for scholars to focus on both the innovations in this field and the problems hampering integration into a robust and effective process in stable health care models in the health domain. Many professionals involved in these fields of digital health were encouraged to contribute with their experiences. This book contains contributions from various experts across different fields. Aspects of the integration in the health domain have been faced. Particular space was dedicated to overviewing the challenges, opportunities, and problems in both radiology and pathology. Clinal deepens are available in cardiology, the hystopathology of breast cancer, and colonoscopy. Dedicated studies were based on surveys which investigated students and insiders, opinions, attitudes, and self-perception on the integration of artificial intelligence in this field.

23. The Digital Health in the Pandemic Era.

Author

Giansanti, Daniele and Giansanti, Daniele

Subjects
Medicine, Mental health services, n/a, digital contact tracing, IMMUNI app, COVID-19, students, digital care visit, online consultation, medical staff, healthcare personnel, user experience, magnetic resonance imaging (MRI), brain tumor, machine learning, digital health, e-health, pandemic, physical activity, performance evaluation, eHealth, self-care, chronic diseases, mental health, mindfulness, mobile health, social isolation, mental stress, feature selection, artificial intelligence, human health, lock down, normative activation model, COVID-19 prevention, prevention intention, IoT, obesity, classification, regression, real-time system, COVID-19 pandemic, contact tracing, CNN, chest X-ray images, hybrid learning, computer-aided diagnosis, remote psychotherapy, psychotherapy via telephone, psychotherapy via videoconferencing, tele-health, e-mental-health, psychotherapy, qualitative psychotherapy research, mixed-methods psychotherapy research, exergaming, breast neoplasms, physical function, telehealth, (d)health literacy, health literacy, health intervention, health strategy, medical data, medical imaging, data classification, image detection, YOLOv4, logistic regression, AI, deep learning, chatbot, health, health domain
Abstract

Summary: Digital health, virtual assistance, and telemedicine are terms often used interchangeably to refer to remote medical assistance, monitoring and care. Several studies and insights have developed these issues, analyzing the advantages and disadvantages and successes and failures and offering reflections on the implications and issues of these technologies in the health domain. The results of these investigations are affecting the redesign of hospital and outpatient management based on digital innovation using eHealth and mHealth. During the COVID-19 pandemic, this approach made it possible to offer assistance and continue care at home, protecting patients, preserving health workers, limiting the spread of the virus, and reducing the need for hospitalization. This reprint contains contributions dealing with the development of DH during the COVID-19 pandemic. The contributions are from various experts in different fields regarding the application of digital health, which, in some cases is also integrated with artificial intelligence, including digital contact tracing, mHealth, virtual reality, mental health, physiology, and rehabilitation.

24. The Fuzziness in Molecular, Supramolecular, and Systems Chemistry.

Author

Gentili, Pier and Gentili, Pier

Subjects
Research & information: general, Biology, life sciences, fuzzy logic, complexity, chemical artificial intelligence, human nervous system, fuzzy proteins, conformations, photochromic compounds, qubit, protein dynamics, conformational heterogeneity, promiscuity, fuzzy complexes, higher-order structures, protein evolution, fuzzy set theory, artificial intelligence, GCN4 mimetic, peptides-DNA, E:Z photoisomerization, conformational fuzziness, photoelectrochemistry, wide bandgap semiconductor, artificial neuron, in materio computing, neuromorphic computing, intrinsically disordered protein, intrinsically disordered protein region, liquid-liquid phase transition, protein-protein interaction, protein-nucleic acid interaction, proteinaceous membrane-less organelle, fuzzy complex, d-TST, activation energy, Transitivity plot, solution kinetic, Maxwell-Boltzmann path, Euler's formula for the exponential, activation, transitivity, transport phenomena, moonlighting proteins, intrinsically disordered proteins, metamorphic proteins, morpheeins, n/a
Abstract

Summary: Fuzzy Logic is a good model for the human ability to compute words. It is based on the theory of fuzzy set. A fuzzy set is different from a classical set because it breaks the Law of the Excluded Middle. In fact, an item may belong to a fuzzy set and its complement at the same time and with the same or different degree of membership. The degree of membership of an item in a fuzzy set can be any real number included between 0 and 1. This property enables us to deal with all those statements of which truths are a matter of degree. Fuzzy logic plays a relevant role in the field of Artificial Intelligence because it enables decision-making in complex situations, where there are many intertwined variables involved. Traditionally, fuzzy logic is implemented through software on a computer or, even better, through analog electronic circuits. Recently, the idea of using molecules and chemical reactions to process fuzzy logic has been promoted. In fact, the molecular word is fuzzy in its essence. The overlapping of quantum states, on the one hand, and the conformational heterogeneity of large molecules, on the other, enable context-specific functions to emerge in response to changing environmental conditions. Moreover, analog input-output relationships, involving not only electrical but also other physical and chemical variables can be exploited to build fuzzy logic systems. The development of "fuzzy chemical systems" is tracing a new path in the field of artificial intelligence. This new path shows that artificially intelligent systems can be implemented not only through software and electronic circuits but also through solutions of properly chosen chemical compounds. The design of chemical artificial intelligent systems and chemical robots promises to have a significant impact on science, medicine, economy, security, and wellbeing. Therefore, it is my great pleasure to announce a Special Issue of Molecules entitled "The Fuzziness in Molecular, Supramolecular, and Systems Chemistry." All researchers who experience the Fuzziness of the molecular world or use Fuzzy logic to understand Chemical Complex Systems will be interested in this book.

25. Updates in Management of SARS-CoV-2 Infection.

Author

Flisiak, Robert and Flisiak, Robert

Subjects
Medicine, COVID-19, SARS-CoV-2, interleukin-6, tocilizumab, therapy, coronavirus disease 2019, cytokines, severity, prognosis, mortality, kidney failure, rapid diagnostic test, antigen detection, Cytomegalovirus, co-infections, critical care, liver markers, inflammation, morbidity, personalized medicine, liver functional tests, COVID-19 pneumonia, meta-analysis, trial sequential analysis, children, clinical presentation, coronavirus disease 2019 (COVID-19), epidemiology, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), clinical outcome, symptomatology, pandemic, angiotensin 1 receptor (AT1R), AT1R concentration, angiotensin II, symptoms' severity, diagnosis, artificial intelligence, medical imaging, systematic umbrella review, methodological credibility, PCR test, COVID-19 diagnosis, Charlson Comorbidities Index, cluster analysis, longitudinal cluster, individualized management, n/a
Abstract

Summary: Severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) has spread worldwide from the beginning of 2020. The infection is mostly asymptomatic but some patients may develop COVID‑19 (coronavirus disease 2019) with a severe or critical course leading to pneumonia, acute respiratory distress syndrome, and multiorgan failure. Apart from the virus‑related damage of the lungs, pathomechanism of the disease seems to be linked to thromboembolism and inflammation accompanied by overproduction of proinflammatory cytokines, termed a cytokine storm, responsible for multiorgan damage and death. Since the development of a new therapeutic molecule, dedicated strictly to a particular virus is time‑consuming, physicians and scientists have started to test and repurpose old medications. Unfortunately, after one year of pandemics, there is still a lack of optimal therapy and no clear indicators of recovery. A major issue is also insufficient knowledge on predictors of the severe or deadly course of the disease, which could also help to switch from one therapeutic option to another. Due to many gaps still existing in the management of COVID-19, there is a need for the accumulation of new data particularly from real-world experience, which could be applicable to practice guidelines. The objective of this special issue of the Journal of Clinical Medicine is to provide an update on the mangement for the diagnostic workup and pharmacotherapy of SARS‑CoV‑2 infection.

26. Water Quality Assessments for Urban Water Environment.

Author

Kumar, Pankaj and Kumar, Pankaj

Subjects
Research & information: general, Environmental economics, groundwater, geospatial analysis, hydrogeochemical assessment, multivariate statistical analysis, water quality index, middle and lower reaches of the Yangtze River, urban river stretches, phosphorus, spatial distribution, bioavailability, suspended sediment (SS), water quality, WEAP, climate change adaptation, urbanization, domestic wastewater management, sustainable development goals, triple-rice cropping system, full-dike, surface water quality, WAWQI, An Giang Province, the Vietnamese Mekong Delta, hydrological residence time (HRT), lake, COVID, waterbodies, WQI, HPI, HEI, SARS-CoV-2, COVID-19, bioaerosol, aerosolized wastewater, environmental transmission, agriculture, water security, water scarcity, climate change, IWRM, socioeconomic changes, sustainable development, Pindrawan tank area, drinking water quality, artificial intelligence, particle swarm optimization, support vector machine, naive Bayes classifier, water insecurity, water security framework, public health, primary health care, groundwater demand, Sundarbans, vulnerability, sensitivity loop, water-human wellbeing nexus, n/a
Abstract

Summary: This special issue entitled "Water Quality Assessments for Urban Water Environment," strives to highlights the status quo of water environment, opportunities and challenges for their sustainable management in lieu of rapid global changes (land us eland cover changes, climate change, population growth, change in socio-economic dimension, urbanization etc.), in the urban space particularly in developing nations around the world. It also highlights the effect of COVID19 pandemic on water resources and way forward to minimize the risk of spreading health risk associated with wastewater management. Considering the complex nature of the urban water security, it highlights the importance of emerging approaches like socio-hydrology, landscape ecology, regional-circular-ecological sphere etc., which presents a perfect combination of hard (infrastructure) and soft (numerical simulations, spatial technologies, participatory approaches, indigenous knowledge) measures, as the potential solutions to manage this precious water resource in coming future. Finally, what is the way forward to enhance science-policy interface in a better way to achieve global goals e.g., SDGs at local level in a timely manner. It provides valuable information about sustainable water resource management at the urban landscape, which is very much useful for policy-makers, decision-makers, local communities, and other relevant stakeholders.

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