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  • COVID-19  (378)
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  • 1
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    Energy Supplies in the Countries from the Visegrad Group (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2023-01-05
    Description: The purpose of this Special Issue was to collect and present research results and experiences on energy supply in the Visegrad Group countries. This research considers both macroeconomic and microeconomic aspects. It was important to determine how the V4 countries deal with energy management, how they have undergone or are undergoing energy transformation and in what direction they are heading. The articles concerned aspects of the energy balance in the V4 countries compared to the EU, including the production of renewable energy, as well as changes in its individual sectors (transport and food production). The energy efficiency of low-emission vehicles in public transport and goods deliveries are also discussed, as well as the energy efficiency of farms and energy storage facilities and the impact of the energy sector on the quality of the environment.
    Keywords: energy supplies ; energy security ; energy market ; EU countries ; Hellwig’s method ; sustainability strategies ; sustainable development ; Visegrád Group ; sustainable strategic management ; the renewable energy sector ; energy use ; structures ; food production systems ; Visegrad Group ; energy mix ; renewables ; energy in transport ; energetic efficiency ; energy sources ; economic growth ; developing and developed countries ; energy sector ; environmental quality ; renewable energy sources (RES) ; nuclear energy ; southeastern Poland ; sustainability ; renewable energy sources ; European Union ; cluster analysis ; Visegrad Group countries ; fuels ; cointegration ; Granger causality ; electricity prices ; households ; directions of price changes ; biogas energy ; solar energy ; hybrid biogas plant ; renewable energy ; circular economy ; off-grid systems ; energy efficiency ; social and economic aspects of energy ; economic efficiency ; low emissions ; zero emissions ; e-commerce ; last mile ; parcel lockers ; efficiency of logistics processes ; economies of scale ; simulation of logistics processes ; COVID-19 ; BESS management ; price arbitration ; shift load ; microgrid ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
    Language: English
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  • 2
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    Women's Mental Health (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
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    Publication Date: 2022-06-21
    Description: Clinical psychology based on gender medicine is a core topic of this Special Issue. In general, consideration of women’s mental health is limited; however, it is important to consider subjective wellbeing factors connected with cultural, environmental, epigenetic and personality aspects. Many factors, such as the roles assigned to women nowadays in social and work contexts, can act as predisposing conditions in the etiology of the psychopathological frame, particularly affective disorders. Furthermore, in the developmental life of a woman, important risk factors can be highlighted, such as the vulnerability to psychological distress in women and couples. In particular, the topic addresses the individual maternal requirements for successful transition to healthy motherhood and innovative programs based on gender medicine in the life cycle considering student and elderly experiences. The connection of psychological vulnerability to the environment and repercussions for relationships have been studied in connection with the COVID-19 lockdown, induced changes in women’s psychological distress and research regarding sexual arousal, self-image and mental wellbeing. Psychological and emotional forms of violence in couples, such as IPV, is another point highlighting new trend of assessments (i.e., Intimate Partner Violence EAPA-P) and ad hoc treatment in emotional regulation and resilience. Psychological support for women is central to the prevention of psychopathology, especially in relation to subthreshold traits; finally, the topic offers an overview of ad hoc treatments in clinical contexts.
    Keywords: stress ; medical student ; temperament ; self-esteem ; optimism ; stress response ; gender differences ; social behavior ; attachment ; touch avoidance ; network analysis ; intimate partner violence ; psychological treatment ; randomized controlled trial ; posttraumatic stress ; effectiveness ; eating abnormal behavior ; pro-ana and pro-mia websites ; female adolescents ; distress ; self-efficacy ; maternal confidence ; maternal wellbeing ; post-partum ; fall ; women ; health-related quality of life ; South Korea ; COVID-19 ; principal component analysis ; emotion regulation ; social stability status ; intolerance of uncertainly ; Italian population ; psychological violence ; self-report ; violence against women ; gender-based violence ; domestic violence ; assessment ; mindfulness ; newborn ; mother-infant ; maternal behavior ; mother-infant interaction ; maternal parenting stress ; maternal support ; sexuality ; body image ; bic Book Industry Communication::J Society & social sciences::JM Psychology
    Language: English
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  • 3
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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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  • 4
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    Novel Approaches for Nondestructive Testing and Evaluation (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-05-06
    Description: Nondestructive testing and evaluation (NDT&E) is one of the most important techniques for determining the quality and safety of materials, components, devices, and structures. NDT&E technologies include ultrasonic testing (UT), magnetic particle testing (MT), magnetic flux leakage testing (MFLT), eddy current testing (ECT), radiation testing (RT), penetrant testing (PT), and visual testing (VT), and these are widely used throughout the modern industry. However, some NDT processes, such as those for cleaning specimens and removing paint, cause environmental pollution and must only be considered in limited environments (time, space, and sensor selection). Thus, NDT&E is classified as a typical 3D (dirty, dangerous, and difficult) job. In addition, NDT operators judge the presence of damage based on experience and subjective judgment, so in some cases, a flaw may not be detected during the test. Therefore, to obtain clearer test results, a means for the operator to determine flaws more easily should be provided. In addition, the test results should be organized systemically in order to identify the cause of the abnormality in the test specimen and to identify the progress of the damage quantitatively.
    Keywords: composites ; multi-scale ; embedded damage ; non-destructive testing ; photoacoustic ; ultrasonic representation ; terahertz ; coded-aperture imaging ; convolution neural network (CNN) ; fast image reconstruction ; nondestructive evaluation ; acoustic nonlinearity parameter ; indirect method ; laser ultrasound ; fully non-contact ; surface acoustic wave ; UWB-PPM ; UWB-OOK ; buried objects ; nondestructive environment ; Levenberg–Marquardt method ; textured surface anomaly detection ; computer vision ; deep learning ; attention mechanism ; adaptive fusion ; power quality disturbances ; long short term memory ; convolutional neural network ; short time Fourier transform ; leaky Lamb wave ; semi-analytical finite element (SAFE) ; waveguide sensor ; finite-width plate ; waveguide plate ; width modes ; spatial beating ; Rayleigh–Sommerfeld integral (RSI) ; weld cracks ; eddy current nondestructive testing ; gradiently relative magnetic permeability ; heat affected zone ; austenitic stainless steel ; circulating fluidized bed combustion boiler ; water-cooled wall tube ; magnetic sensor array ; magnetic flux density ; flexible ultrasonic probe ; neutron irradiation embrittlement ; reactor pressure vessel ; magnetic nondestructive evaluation ; micromagnetic multiparameter microstructure and stress analysis 3MA ; magnetic adaptive testing ; 3D imaging of metal grains ; non-destructive testing methods ; stacking images ; SA106 carbon steel ; terahertz waves ; refractive index ; thickness measurement ; Shim stock films ; composite materials ; reflection mode ; neutron radiography ; Bragg-edge imaging ; gas tungsten arc welding (GTAW) ; low transformation temperature (LTT) steel ; austenite-to-martensite transformation ; Debye–Waller factor ; 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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  • 5
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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
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  • 6
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    Towards a Sustainable Life: Smart and Green Design in Buildings and Community (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-23
    Description: This Special Issue includes contributions about occupants’ sustainable living in buildings and communities, highlighting issues surrounding the sustainable development of our environments and lives by emphasizing smart and green design perspectives. This Special Issue specifically focuses on research and case studies that develop promising methods for the sustainable development of our environment and identify factors critical to the application of a sustainable paradigm for quality of life from a user-oriented perspective. After a rigorous review of the submissions by experts, fourteen articles concerning sustainable living and development are published in this Special Issue, written by authors sharing their expertise and approaches to the concept and application of sustainability in their fields. The fourteen contributions to this special issue can be categorized into four groups, depending on the issues that they address. All the proposed methods, models, and applications in these studies contribute to the current understanding of the adoption of the sustainability paradigm and are likely to inspire further research addressing the challenges of constructing sustainable buildings and communities resulting in a sustainable life for all of society.
    Keywords: sustainability ; regionalism ; climate ; unit plan ; apartment ; Singapore ; Korea ; sustainable architecture ; space syntax ; partitioning theory ; total depth ; intelligibility ; movement economies ; architecture ; building performance simulation ; performance-based design ; agent-based model ; Gaussian process ; electroencephalography ; virtual reality ; monument architecture ; stress ; data visualization ; deep learning ; smart building ; interactive experience ; “five senses” interaction ; people-oriented ; embedding ; recommender system ; collaborative filtering ; housing preference ; housing decision ; human behavior simulation ; virtual users ; social sustainability ; performance analysis ; evaluation method ; architectural design education ; eye tracking ; virtual environment ; street robbery ; CPTED ; crime prevention ; fixation count ; people with physical disabilities ; job retention ; path analysis ; perceived workplace safety ; workplace disability facilities ; work satisfaction ; social housing ; social economy actors ; Seoul ; South Korea ; sustainable development ; sustainable design ; energy efficiency ; public rental housing ; building simulation ; elderly ; biophilia ; biophilic experience ; smart home ; smart-home service ; service framework ; water distribution ; water war ; conflict ; ownership ; divided Cyprus ; blue-collar workers ; intervention study ; health promotion ; cardiovascular disease ; n/a ; thema EDItEUR::A The Arts ; thema EDItEUR::A The Arts::AM Architecture
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  • 7
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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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  • 8
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    Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2022-05-06
    Description: In recent years, new and emerging digital technologies applied to food science have been gaining attention and increased interest from researchers and the food/beverage industries. In particular, those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this Special Issue (SI) is dedicated to novel technology based on sensor technology and machine/deep learning modeling strategies to implement artificial intelligence (AI) into food and beverage production and for consumer assessment. This SI published quality papers from researchers in Australia, New Zealand, the United States, Spain, and Mexico, including food and beverage products, such as grapes and wine, chocolate, honey, whiskey, avocado pulp, and a variety of other food products.
    Keywords: sensory ; physicochemical measurements ; artificial neural networks ; near infra-red spectroscopy ; wine quality ; machine learning modeling ; weather ; consumer acceptance prediction ; data fusion ; emotion recognition ; facial expression recognition ; galvanic skin response ; machine learning ; neural networks ; sensory analysis ; avocado ; cultivars ; preference mapping ; sensory evaluation ; sensory descriptive analysis ; consumer science ; unifloral honeys ; botanical origin ; physicochemical parameters ; classification ; natural language processing ; deep learning ; sensory science ; flavor lexicon ; long short-term memory ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
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  • 9
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    Photoacoustic Tomography (PAT) (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Photoacoustic (or optoacoustic) imaging, including photoacoustic tomography (PAT) and photoacoustic microscopy (PAM), is an emerging imaging modality with great clinical potential. PAI’s deep tissue penetration and fine spatial resolution also hold great promise for visualizing physiology and pathology at the molecular level. PAI combines optical contrast with ultrasonic resolution, and is capable of imaging at depths of up to 7 cm with a real-time scalable spatial resolution of 10 to 500 µm. PAI has demonstrated applications in brain imaging and cancer imaging, such as breast cancer, prostate cancer, ovarian cancer etc. This Special Issue focuses on the novel technological developments and pre-clinical and clinical biomedical applications of PAI. Topics include but are not limited to: brain imaging; cancer imaging; image reconstruction; quantitative imaging; light source and delivery for PAI; photoacoustic detectors; nanoparticles designed for PAI; photoacoustic molecular imaging; photoacoustic spectroscopy.
    Keywords: photoacoustic imaging ; tomography ; thermoacoustic ; radio frequency ; image quality assessment ; image formation theory ; image reconstruction techniques ; sparsity ; signal processing ; deconvolution ; empirical mode decomposition ; signal deconvolution ; photoacoustics ; tissue characterization ; absorption ; Photoacoustic Computed Tomography (PACT) ; ring array ; fast imaging ; low cost ; photoacoustic tomography ; full-field detection ; wave equation ; final time inversion ; uniqueness ; stability ; iterative reconstruction ; 3D photoacoustic tomography ; full-view illumination and ultrasound detection ; photoacoustic coplanar ; quartz bowl ; correlation matrix filter ; time reversal operator ; photo-acoustic tomography ; reflection artifacts ; deep learning ; convolutional neural network ; time reversal ; Landweber algorithm ; U-net ; optoacoustic imaging ; respiratory gating ; motion artifacts ; full-ring illumination ; diffused-beam illumination ; point source illumination ; ultrasound tomography (UST) ; photoacoustic tomography (PAT) ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 10
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    A Feasible Approach for Natural Products to Treatment of Diseases (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-28
    Description: Introducing “A Feasible Approach for Natural Products to Treatment of Diseases”–an exploration of the therapeutic potential locked within nature’s abundant offerings. This comprehensive reprint delves into the fascinating realm of natural products, uncovering their inherent properties, mechanisms of action, and potential roles in effective disease management. Through extensive scientific research and reviews, the authors shed light on the immense potential of natural products as a viable approach to enhancing health and combating diseases. This reprint presents a diverse and multidimensional exploration, bridging the gap between traditional wisdom and contemporary scientific understanding and offering new avenues for healthcare professionals, researchers, and enthusiasts to harness the power of nature’s remarkable resources. As a catalyst for unlocking the healing potential of natural products, this reprint inspires further investigation and innovation, and drives us towards a future where their integration into mainstream healthcare becomes indispensable. Discover the possibilities and embark on a health and well-being journey with “A Feasible Approach for Natural Products to Treatment of Diseases”.
    Keywords: cancer immunotherapy ; fructan ; FT-IR ; mass spectrometry ; young green barley ; COVID-19 ; β-glucans ; immunomodulation ; anti-inflammation ; anti-oxidant ; ACE2 regulation ; impedance ; ECIS ; antitumor activity ; anticancer properties ; betulin ; betulinic acid ; Amadori rearrangement compounds ; barley ; anti-obesity ; arginyl-fructose ; adipogenic ; ergosta-5,7,22,24(28)-tetraenol (ERGT) ; cholesta-5,7,22,24-tetraenol (CHT) ; ergosterol biosynthesis ; antimetabolite ; suicide substrate ; Trypanosoma brucei ; coronavirus SARS-CoV-2 ; main protease ; Saussurea costus ; molecular docking ; GC-MS profiling ; Molineria recurvata ; diabetic nephropathy ; urinary biomarkers ; inflammation ; oxidative stress ; walnut ; Juglans regia ; high-fat diet ; insulin resistance ; cognitive function ; JNK/NFκB pathway ; Citri Reticulatae Pericarpium ; flavonoids ; anticancer ; mechanism ; phenotype ; Angelica sinensis polysaccharide ; Astragalus membranaceus polysaccharide ; hexokinase 2 ; glycolysis ; JAK2/STAT3 pathway ; liver regeneration ; Holoptelea integrifolia ; MMP-9 ; wound healing ; friedelin ; oxalactam A ; macrolactam ; anti-Rhizoctonia solani ; Penicillium oxalicum ; molecular dynamics ; non-alcoholic fatty liver disease (NAFLD) ; natural products ; terpenoids ; mechanisms ; treatment ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry
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