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  • thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues  (902)
  • machine learning  (603)
  • bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences  (481)
  • Environmental Sciences.
  • MDPI - Multidisciplinary Digital Publishing Institute  (1,849)
  • Cham :Springer International Publishing :  (347)
  • Frontiers Media SA  (16)
  • Dordrecht :Springer Netherlands :
  • Palgrave Macmillan
  • English  (2,217)
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  • English  (2,217)
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  • 1
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    Mathematical Finance with Applications (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: Mathematical finance plays a vital role in many fields within finance and provides the theories and tools that have been widely used in all areas of finance. Knowledge of mathematics, probability, and statistics is essential to develop finance theories and test their validity through the analysis of empirical, real-world data. For example, mathematics, probability, and statistics could help to develop pricing models for financial assets such as equities, bonds, currencies, and derivative securities.
    Keywords: cluster analysis ; equity index networks ; machine learning ; copulas ; dependence structures ; quotient of random variables ; density functions ; distribution functions ; multi-factor model ; risk factors ; OLS and ridge regression model ; python ; chi-square test ; quantile ; VaR ; quadrangle ; CVaR ; conditional value-at-risk ; expected shortfall ; ES ; superquantile ; deviation ; risk ; error ; regret ; minimization ; CVaR estimation ; regression ; linear regression ; linear programming ; portfolio safeguard ; PSG ; equity option pricing ; factor models ; stochastic volatility ; jumps ; mathematics ; probability ; statistics ; finance ; applications ; investment home bias (IHB) ; bivariate first-degree stochastic dominance (BFSD) ; keeping up with the Joneses (KUJ) ; correlation loving (CL) ; return spillover ; volatility spillover ; optimal weights ; hedge ratios ; US financial crisis ; Chinese stock market crash ; stock price prediction ; auto-regressive integrated moving average ; artificial neural network ; stochastic process-geometric Brownian motion ; financial models ; firm performance ; causality tests ; leverage ; long-term debt ; capital structure ; shock spillover ; thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items
    Language: English
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  • 2
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    Commodity Market Finance (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: Commodity markets have evolved substantially since the early 2000s and have become more financialized. The recent cold war between the U.S.A. and China, the outbreak of COVID-19, and Russia's invasion of Ukraine have caused resource prices to soar, leading to greater volatility in the commodity markets. The volatility of the commodity markets has increased, and at the same time, financial markets such as the stock market, bond market, and foreign exchange market have become unstable. This has increased the linkage between the commodity and financial markets and has led to a great deal of attention being paid to the commodity markets by governments, companies, and investors.This reprint delves into recent developments in the commodity markets and elucidates the multifaceted factors that have shaped their trajectory. It examines how the interwoven dynamics of supply and demand, geopolitics, technology, and financialization have brought about a new era in commodity trading. By providing a comprehensive survey of these developments, we aim to provide insights that will help stakeholders successfully navigate the challenges and opportunities presented by this evolving landscape.
    Keywords: Russia and Ukraine conflict ; commodities ; G7 and BRIC markets ; TVP-VAR ; connectedness ; oil price uncertainty shocks ; international equity markets ; global vector autoregressive model ; arbitrage ; efficiency ; futures ; liquidity ; market integration ; platinum ; COVID-19 ; pandemic ; agriculture ; commodity ; MF-DFA ; high frequency ; asymmetric volatility spillover ; bitcoin ; altcoin ; cryptocurrency ; frequency connectedness ; Bitcoin ; machine learning ; random forest regression ; LSTM ; energy market volatility ; oil price dynamics ; fear index ; Markov-regime switching models ; volatility risk premium (VRP) ; implied and realized volatility ; oil and stock returns ; financialization ; Bermudan commodity options ; multi-layer perceptron ; multi-asset stochastic volatility model ; hybrid forecasting approaches ; two-step forecasting approaches ; gold ; euro ; sentiment analysis ; ARIMA ; wavelet transformation ; seasonal decomposition ; long short-term memory ; random forest ; eXtreme gradient boosting ; stock ; markets ; cycles ; investing ; risk ; returns ; thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items
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  • 3
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    Computational Methods for Medical and Cyber Security (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: Over the past decade, computational methods, including machine learning (ML) and deep learning (DL), have been exponentially growing in their development of solutions in various domains, especially medicine, cybersecurity, finance, and education. While these applications of machine learning algorithms have been proven beneficial in various fields, many shortcomings have also been highlighted, such as the lack of benchmark datasets, the inability to learn from small datasets, the cost of architecture, adversarial attacks, and imbalanced datasets. On the other hand, new and emerging algorithms, such as deep learning, one-shot learning, continuous learning, and generative adversarial networks, have successfully solved various tasks in these fields. Therefore, applying these new methods to life-critical missions is crucial, as is measuring these less-traditional algorithms' success when used in these fields.
    Keywords: fintech ; financial technology ; blockchain ; deep learning ; regtech ; environment ; social sciences ; machine learning ; learning analytics ; student field forecasting ; imbalanced datasets ; explainable machine learning ; intelligent tutoring system ; adversarial machine learning ; transfer learning ; cognitive bias ; stock market ; behavioural finance ; investor’s profile ; Teheran Stock Exchange ; unsupervised learning ; clustering ; big data frameworks ; fault tolerance ; stream processing systems ; distributed frameworks ; Spark ; Hadoop ; Storm ; Samza ; Flink ; comparative analysis ; a survey ; data science ; educational data mining ; supervised learning ; secondary education ; academic performance ; text-to-SQL ; natural language processing ; database ; machine translation ; medical image segmentation ; convolutional neural networks ; SE block ; U-net ; DeepLabV3plus ; cyber-security ; medical services ; cyber-attacks ; data communication ; distributed ledger ; identity management ; RAFT ; HL7 ; electronic health record ; Hyperledger Composer ; cybersecurity ; password security ; browser security ; social media ; ANOVA ; SPSS ; internet of things ; cloud computing ; computational models ; metaheuristics ; phishing detection ; website phishing ; thema EDItEUR::U Computing and Information Technology
    Language: English
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  • 4
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    Sports Medicine and Physical Fitness (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: Sports Medicine and Physical Fitness has been a successful Special Issue, which addressed novel topics in any subject related to sports medicine, physical fitness, and human movement. The article collection was able to positively evaluate three systematic reviews, nineteen original articles, and one brief report. These encompassed a broad range of topics ranging from accident kinematics, soccer monitoring, children’s physical evaluation, adapted physical activity, physical evaluation for people with intellectual disabilities, performance analysis in rowers, ultramarathon racers, karateka’s, rugby players, volleyball and basketball players, and cross-fit athletes, and also aspects related to biomechanics, fatigue and injury prevention in racing motorcycle riders, gymnasts, and cyclists.These scientific contributions within the field of Sports Medicine and Physical Fitness broaden the understanding of specific aspects of each analyzed discipline.It has been a pleasure for the Editorial Team to have served the International Journal Of Environmental Research and Public Health.
    Keywords: MotoGP ; video analysis ; collision ; accident ; safety ; disability ; tool ; health ; life span ; physical fitness ; reference values ; muscular strength profile ; quadriceps ; hamstring ; H/Q ratio ; total work ; sprint ; postactivation potentiation ; fixed seat rowing ; performance ; psychology ; odontology ; nutrition ; training ; stress ; running ; type 1 diabetes ; high-intensity interval training ; exercise ; VO2max ; anti-inflammatory ; machine learning ; PCA ; intensive training ; proprioception ; postural sway ; testing ; pacing ; cycling ; time trial ; RPE ; cognitive functions ; aging ; partnered dances ; fall prevention ; physical activity ; water polo ; biomechanics ; force-velocity relationship ; power-velocity relationship ; soccer ; match ; internal load ; external load ; fatigue ; young athletes ; cycling performance ; sport nutrition ; hydration ; PA ; MVPA ; accelerometer ; questionnaire ; children ; athlete ; high-intensity functional training ; cross-training ; functional fitness ; vitamin D ; explosive strength ; overload training ; wrist pain ; injury prevention ; overuse ; sitting position ; modified 505 test ; kinetic variables ; completion time ; foot contact ; predictors ; squat ; bench press ; strength ; speed ; interval training ; continuous training ; heart failure ; meta-analysis ; handgrip ; carpi radialis ; flexor digitorum superficialis ; neuromuscular fatigue ; motorcycle ; recovery ; spike jump ; block jump ; critical threshold ; specialization ; anaerobic power ; peak power ; HIFT, high-intensity functional training ; crossfit ; athletes ; field test ; hypertrophy ; katsu ; low-intensity training ; occlusive exercise ; sarcopenia ; diabetes type 1 ; HIIT ; sleep quality ; exercise motivation ; quality of life ; hypoxia ; hyperoxia ; hyperbaric breathing ; nitric oxide ; vascular reactions ; breathing ; extreme environments ; thema EDItEUR::W Lifestyle, Hobbies and Leisure
    Language: English
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  • 5
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    Learning to Understand Remote Sensing Images (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.
    Keywords: QA75.5-76.95 ; T58.5-58.64 ; metadata ; image classification ; sensitivity analysis ; ROI detection ; residual learning ; image alignment ; adaptive convolutional kernels ; Hough transform ; class imbalance ; land surface temperature ; inundation mapping ; multiscale representation ; object-based ; convolutional neural networks ; scene classification ; morphological profiles ; hyperedge weight estimation ; hyperparameter sparse representation ; semantic segmentation ; vehicle classification ; flood ; Landsat imagery ; target detection ; multi-sensor ; building damage detection ; optimized kernel minimum noise fraction (OKMNF) ; sea-land segmentation ; nonlinear classification ; land use ; SAR imagery ; anti-noise transfer network ; sub-pixel change detection ; Radon transform ; segmentation ; remote sensing image retrieval ; TensorFlow ; convolutional neural network ; particle swarm optimization ; optical sensors ; machine learning ; mixed pixel ; optical remotely sensed images ; object-based image analysis ; very high resolution images ; single stream optimization ; ship detection ; ice concentration ; online learning ; manifold ranking ; dictionary learning ; urban surface water extraction ; saliency detection ; spatial attraction model (SAM) ; quality assessment ; Fuzzy-GA decision making system ; land cover change ; multi-view canonical correlation analysis ensemble ; land cover ; semantic labeling ; sparse representation ; dimensionality expansion ; speckle filters ; hyperspectral imagery ; fully convolutional network ; infrared image ; Siamese neural network ; Random Forests (RF) ; feature matching ; color matching ; geostationary satellite remote sensing image ; change feature analysis ; road detection ; deep learning ; aerial images ; image segmentation ; aerial image ; multi-sensor image matching ; HJ-1A/B CCD ; endmember extraction ; high resolution ; multi-scale clustering ; heterogeneous domain adaptation ; hard classification ; regional land cover ; hypergraph learning ; automatic cluster number determination ; dilated convolution ; MSER ; semi-supervised learning ; gate ; Synthetic Aperture Radar (SAR) ; downscaling ; conditional random fields ; urban heat island ; hyperspectral image ; remote sensing image correction ; skip connection ; ISPRS ; spatial distribution ; geo-referencing ; Support Vector Machine (SVM) ; very high resolution (VHR) satellite image ; classification ; ensemble learning ; synthetic aperture radar ; conservation ; convolutional neural network (CNN) ; THEOS ; visible light and infrared integrated camera ; vehicle localization ; structured sparsity ; texture analysis ; DSFATN ; CNN ; image registration ; UAV ; unsupervised classification ; SVMs ; SAR image ; fuzzy neural network ; dimensionality reduction ; GeoEye-1 ; feature extraction ; sub-pixel ; energy distribution optimizing ; saliency analysis ; deep convolutional neural networks ; sparse and low-rank graph ; hyperspectral remote sensing ; tensor low-rank approximation ; optimal transport ; SELF ; spatiotemporal context learning ; Modest AdaBoost ; topic modelling ; multi-seasonal ; Segment-Tree Filtering ; locality information ; GF-4 PMS ; image fusion ; wavelet transform ; hashing ; machine learning techniques ; satellite images ; climate change ; road segmentation ; remote sensing ; tensor sparse decomposition ; Convolutional Neural Network (CNN) ; multi-task learning ; deep salient feature ; speckle ; canonical correlation weighted voting ; fully convolutional network (FCN) ; despeckling ; multispectral imagery ; ratio images ; linear spectral unmixing ; hyperspectral image classification ; multispectral images ; high resolution image ; multi-objective ; convolution neural network ; transfer learning ; 1-dimensional (1-D) ; threshold stability ; Landsat ; kernel method ; phase congruency ; subpixel mapping (SPM) ; tensor ; MODIS ; GSHHG database ; compressive sensing ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 6
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    Improving Practice and Performance in Basketball (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: Despite being one of the most popular sports worldwide, basketball has received limited research attention compared to other team sports. Establishing a strong evidence base with high-quality and impactful research is essential in enhancing decision-making processes to optimize player performance for basketball professionals. Consequently, the book entitled Improving Performance and Practice in Basketball provides a collection of novel research studies to increase the available evidence on various topics with strong translation to practice in basketball. The book includes work by 40 researchers from 16 institutions or professional organizations from 9 countries. In keeping with notable topics in basketball research, the book contains 2 reviews focused on monitoring strategies to detect player fatigue and considerations for travel in National Basketball Association players. In addition, 8 applied studies are also included in the book, focused on workload monitoring, game-related statistics, and the measurement of physical and skill attributes in basketball players. This book also has a strong focus on increasing the evidence available for female basketball players, who have traditionally been under-represented in the literature. The outcomes generated from this book should provide new insights to inform practice in many areas for professionals working in various roles with basketball teams.
    Keywords: GV557-1198.995 ; n/a ; talent selection ; classification tree ; Movement Assessment Battery for Children-2 ; NBA ; basketball ; maturation ; body composition ; fatigue ; countermovement jump ; athletic performance ; circadian rhythm ; injury ; basketball tactics ; female ; athlete ; non-linear analysis ; monitoring ; basketball performance ; performance analysis ; training load ; variability ; game-related statistics ; sleep ; youth athletes ; accelerometer ; women athletes ; fat free mass ; collegiate athletes ; workloads ; team sports ; machine learning ; microtechnology ; motor manual sequences ; elite sport ; attention ; visuo-spatial working memory ; playing position ; smallest worthwhile change ; body fat ; thema EDItEUR::V Health, Relationships and Personal development::VX Mind, body, spirit::VXH Complementary therapies, healing and health::VXHT Traditional medicine and herbal remedies
    Language: English
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  • 7
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    Nutritional Components of Wheat Based Food: Composition, Properties and Uses (2024)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: This reprint concerns topics on chemical, functional, and technological features of wheats to obtain wheat-based foods improved in phytochemicals. Genetic materials, from landraces to ancient and modern wheat varieties, characterized for their content of bioactive compounds, were exploited to produce superior staple foods. The study of other species allowed to identify functional ingredients, in wholemeals or in their by-products, useful in the enrichment of formulations for various cereal-based products. Further, in the optic of circular economy, it is of great interest the extraction of bioactive components from food processing waste belonging to the other crops to functionalize final products.
    Keywords: durum wheat ; diversity ; pigmented cereals ; phytochemicals ; anthocyanins ; antioxidant activity ; protein ; gluten ; wheat aleurone ; dietary fibre ; extraction process ; antioxidant ; bread ; arabinoxylans ; bakery ; biologically active substances ; DPPH assay ; nutritional value ; sensory properties ; pasta fortification ; hemp flour ; durum wheat cultivar ; amino acids ; fatty acids ; mineral fortification ; brewers’ spent grain ; bread-making ; circular economy ; common wheat ; emmer ; phenolics ; proteins ; sustainable food production ; bread wheat ; spelt ; fibre ; metabolites ; minerals ; fertilisation ; health benefits ; colour ; farinograph ; rheofermentograph ; viscoelastic behaviour ; bread shelf life ; crumb porosity ; cereals ; wholemeal ; biscuits ; phenolic acid compositions ; carotenoids ; consumer acceptance ; wheat quality ; genetic resources ; ancient wheat ; avocado wastes/by-products ; functional bread ; lactic acid bacteria ; sourdough ; peels ; pulp ; seeds ; polyphenols ; antioxidant properties ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
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  • 8
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    Mechanical Behavior of Shape Memory Alloys: 2022 (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: In recent years, the fascination with shape memory alloys (SMAs) has grown across industries such as aerospace, automotive, naval, civil, and biology. SMAs possess unique properties, including the ability to recover from deformation when heated, exhibit pseudoelastic stress-strain behavior for large deformations, and exceptional biocompatibility for bioengineering applications. However, a comprehensive understanding of critical characteristics like transformation temperature and stress values is necessary to fully utilize SMAs. The shape memory effect, where SMAs regain their original shape after deformation under specific thermal conditions, has driven innovative applications in various sectors. In aerospace, SMAs are used in wing structures and actuation systems, enabling morphing and improving aerodynamics. In healthcare, they are integrated into orthopedic devices, simplifying surgical procedures and providing necessary support. The automotive industry also benefits from SMAs, using them in seatbelts and vibration damping systems for enhanced safety and comfort. Accurate knowledge of critical characteristics is essential for effective utilization of SMAs, unlocking their potential in different fields. The remarkable versatility of SMAs, with their deformation recovery, pseudoelasticity, and biocompatibility, positions them as a material of immense interest. As research and development continue, SMAs are poised to drive future innovations, shaping various industries.
    Keywords: shape memory alloy (SMAs) ; shape memory effect (SME) ; superelasticity ; smart materials ; constitutive models ; simulation and modeling ; smart devices ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science
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  • 9
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    Research Progress in High-Performance Magnesium Alloy and Its Applications (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Mg alloy is the lightest metallic structural material and possesses the advantages of high specific strength, high specific stiffness, good electromagnetism shield, good damping capacity, good machinability, and easy recycling, etc. Therefore, it has extremely broad application prospects and has drawn considerable interest in the fields of automobile, electronics, electrical appliances, transportation, aerospace, and aviation. In addition, Mg alloys are gradually showing application potential in emerging industries, serving as biodegradable metals in the biomedical field, functional material for hydrogen storage, and so on. This Special Issue (SI), entitled “Research Progress in High-Performance Magnesium Alloy and Its Applications”, presents recent developments and excellent results in the field of Mg alloys, and includes 10 articles and one editorial covering some interesting aspects of the topic.
    Keywords: grain refinement ; high strength and toughness ; {10–12} twin ; Mg-Gd-Y alloy ; multidirectional impact forging ; Mg-Zn-Mn-Ca ; Ca2Mg6Zn3 phase ; corrosion behaviors ; SKPFM ; boride ; MgB2 ; mechanical alloying ; ignition ; combustion ; flame temperature ; magnesium alloy ; biocompatibility ; surface coating modification ; corrosion resistance ; implantable bio-metal materials ; filler material ; welding ; scandium ; microstructure modification ; mechanical properties ; microstructure ; texture ; stretch formability ; high temperature cross-rolling ; annealing ; wire arc additive manufacturing ; cold metal transfer ; Al-Mg alloys ; orthogonal experiment ; Mg-Bi-Ca alloy ; hot deformation ; constitutive model ; dynamic recrystallization kinetics ; Mg alloy ; twinning ; random orientation ; compression ; room temperature ; backward extrusion ; tensile strength ; failure mechanism ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science
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  • 10
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    Silkworm and Silk: Traditional and Innovative Applications (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Papers collected in the present Special Issue relate to the field of sericulture. They cover different aspects based on a very ancient human agricultural activity, taking into consideration classical agronomic aspects, such as the impact of feeding on silk quality and sericulture in different parts of the world. Nonetheless, cutting edge topics are addressed as well, with papers studying silk as a biomaterial, the silkworm as a model organism, and the possibility of exploring its physiology and the molecular mechanisms that stand behind it with the aid of modern tools such as gene profiling, the CRISPR/Cas-9 system, and -omics sciences.
    Keywords: silkworm ; Bombyx mori ; transcriptome analysis ; RNA-seq ; gene model transcriptional factor ; Cutibacterium acnes ; infection ; antibacterial drugs ; polyamines ; cell cycle progression ; Bombyx mori nuclear polyhedrosis virus ; sequencing analysis ; qPCR ; pathogenicity difference ; maternal mRNAs ; 20-hydroxyecdysone ; pupa ; wandering ; fibroin ; sericin ; chrysalis ; diabetes ; hydrogen sulfide ; transcriptome ; differentially expressed genes ; expression pattern ; silk ; supercritical carbon dioxide impregnation ; nanofiller ; CRISPR-Cas ; silkworms ; genome engineering ; insect biotechnology ; entomology ; sericulture ; agroindustry ; Food and Agriculture Organization of the United Nations ; mulberry ; moriculture ; germplasm preservation ; 16S rRNA gene ; amplicon sequencing ; gut microbiota ; co-expression network analysis ; silk protein ; transcription factor ; Eri silkworm ; pentose-utilizing microbe ; lactic acid bacteria ; probiotic ; Eri culture ; silk fibroin ; SILKBridge® nerve conduit ; performance testing ; biocompatibility ; toxicology ; regulatory requirements ; quality requirements ; control manufacturing ; green material ; biomaterial ; 3D scaffolds ; cancer therapy ; bibliometric analysis ; mulberry silkworm pupae ; nutritional composition ; silk gland ; infection model ; Staphylococcus epidermidis ; insect immune response ; antimicrobial compounds ; glycopeptide antibiotics ; vancomycin ; teicoplanin ; dalbavancin ; mulberry leaves ; chemical composition ; feeding experiment ; bacterial microbiome ; BmNPV ; Bombyx mori L. ; non-timber forest product ; livelihood ; Indonesia ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
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