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While there is a tremendous literature on the topic of wine and health ranging back to the days of Hippocrates, it is considered that there is an unlimited variety of wine, allowing for the association of senses, nutrition, and hedonism. The history of vine and wine has lasted for at least 7000 years. Vitis represent adaptable plants, and thanks to the large variety of strains, wine is an alchemical mix with unique properties, a rich and original composition in terms of polyphenols, and well known antioxidants. This explains why wine and health are closely linked to nutrition.
grape pomace --- polyphenols --- hypertension --- metabolites characterization --- N2a murine neuronal cells --- neuronal differentiation --- neurotrophic effects --- polyphenols --- apigenin --- resveratrol --- wine --- vine --- diet --- health --- dementia --- cardiovascular disease --- hydroxytyrosol --- tyrosol --- resveratrol --- EVOO --- olive oil --- RW --- red wine --- Mediterranean diet --- wine --- Mediterranean diet --- Okinawa diet --- health --- nrf2 --- alcohol --- polyphenols --- hormesis --- cardiovascular protection --- cancer --- Alzheimer --- metabolic disease --- red wine --- polyphenols --- cancers --- colorectal --- resveratrol derivatives --- synthesis strategies --- substituents phenyl rings --- biological targets --- efficacy towards diseases --- allergy --- antioxidant --- wine flavonoids --- polyphenols --- antioxidant capacity --- electrochemical technology --- wine --- n/a
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Lignans are a class of natural products found mainly in plants. They have a wide variety of structures and exhibit a range of potent biological activities. Lignans are also well-known components of a number of widely eaten foods and are frequently studied for their dietary impact. Owing to these factors, lignans have been extensively studied by scientists from a large number of disciplines. This collection of research and review articles describes topics ranging in scope from the recent isolation and structural elucidation of new lignans, strategies towards the chemical synthesis of lignans, assessment of their biological activities and potential for further therapeutic development. Research showing the impact of lignans in the food and agricultural industries is also presented.
lignans --- chemometrics --- neolignans --- flavonolignans --- chemical space --- drug-like --- Lespedeza cuneata --- lignan glycoside --- flavonoid glycoside --- cytotoxicity --- adipocyte and osteoblast differentiation --- Bursera --- Burseraceae --- lignans --- lignan --- molecular dynamics --- intermolecular interactions --- graph theory --- lignans --- heilaohu --- tujia ethnomedicine --- chemical characterization --- cytotoxicity --- antioxidant --- cultivar --- environment --- flax --- flavonol --- genetic --- hydroxycinnamic acid --- lignan --- seed --- aryldihydronaphthalene lignan --- arylnaphthalene lignan --- oxidation --- synthesis --- lignans --- dibenzyl butyrolactones --- anti-proliferative --- acyl-Claisen --- stereoselective synthesis --- Schisandra rubriflora --- Schisandra chinensis --- red-flowered Chinese magnolia vine --- Chinese magnolia vine --- lignans --- phytochemical analysis --- UHPLC-MS/MS --- anti-inflammatory activity --- LOX --- COX --- sPLA2 --- lignans --- neolignans --- Lauraceae --- chemical components --- chemical structures --- dietary lignans --- national databases --- food groups --- dietary intake --- harmonized databases --- lignans --- in silico studies --- podophyllotoxin --- antibacterial activity --- acetylcholinesterase inhibitors --- antioxidant activity --- cytotoxicity --- natural products --- total synthesis --- lignan --- Bursera fagaroides --- podophyllotoxin-type lignans --- cell cycle --- cell migration --- epiboly --- microtubules --- F-actin --- cancer --- lignans --- animal health --- cattle --- enterolignan --- human health --- pharmacokinetic --- ruminant --- secoisolariciresinol diglucoside --- Lignan --- bitterness --- taste-active compound --- quantification --- oak ageing --- lignans --- norlignans --- 9-norlignans --- semisynthesis --- hydroxymatairesinol --- bioactivity --- lignans --- oxidation --- lignans --- diet --- antioxidants --- health promotion --- chronic diseases --- Schisandrae Chinensis Fructus --- wild --- cultivated --- multiple bioactive components --- simultaneous quantitation
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This book is a printed edition of the Special Issue Wine Fermentation that was published in Fermentation
anthocyanins --- extraction --- red wine --- color --- ultrasound --- microwave --- wine --- temperature control --- sensor placement --- CFD --- end-user software --- wine clarification --- extraction --- pectinase --- glycosidase --- protease --- phenoloxidase --- color --- aroma --- non-Saccharomyces yeasts --- pioneering winemaking techniques --- peculiar yeasts --- volatile acidity --- fermented drinks --- cluster thinning --- yield manipulation --- vine balance --- crop load --- Pinot noir --- Central Coast of California --- reductive off-odors --- reappearance --- wine --- volatile sulfur compounds --- polythionates as precursors --- elemental sulfur --- Saccharomyces --- yeast hybrids --- yeast mixtures --- spontaneous fermentation --- stuck and sluggish fermentation --- winemaking --- partially dehydrated grapes --- appassimento --- yeast --- Saccharomyces bayanus --- sensory --- Ontario --- climate change adaptation --- winemaking --- metabolite profiling --- non-targeted analysis --- classical chemical analysis --- metabolic modelling --- yeast physiology and metabolism --- vineyard management --- anthocyanins --- tannins --- polymeric pigments --- wine color --- grape maturity --- microwave-assisted extraction --- Merlot --- extraction methods --- color intensity --- phenolic content --- Saccharomyces --- Lachancea --- yeast hybrids --- metabolomics --- sulfur compounds --- oenological enzymes --- process control
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In a worldwide context of ever-growing competition for water and land, climate change, droughts and man-made water scarcity, and less-participatory water governance, agriculture faces the great challenge of producing enough food for a continually increasing population. In this line, this book provides a broad overview of innovation issues in the complex water–agriculture–food nexus, thus also relative to their interconnections and dependences. Issues refer to different spatial scales, from the field or the farm to the irrigation system or the river basin. Multidisciplinary approaches are used when analyzing the relationships between water, agriculture, and food security. The covered issues are quite diverse and include: innovation in crop evapotranspiration, crop coefficients and modeling; updates in research relative to crop water use and saving; irrigation scheduling and systems design; simulation models to support water and agricultural decisions; issues to cope with water scarcity and climate change; advances in water resource quality and sustainable uses; new tools for mapping and use of remote sensing information; and fostering a participative and inclusive governance of water for food security and population welfare. This book brings together a variety of contributions by leading international experts, professionals, and scholars in those diverse fields. It represents a major synthesis and state-of-the-art on various subjects, thus providing a valuable and updated resource for all researchers, professionals, policymakers, and post-graduate students interested in the complex world of the water–agriculture–food nexus.
drought classes --- Standardized Precipitation and Evapotranspiration Index (SPEI) --- Standardized Precipitation Index (SPI) --- North Atlantic Oscillation (NAO) --- log-linear modeling --- persistence --- surface irrigation modelling --- precise land levelling --- irrigation systems design --- beneficial water use --- decision support systems (DSS) --- inflow rates --- cut-off time --- crop water requirements --- latent heat flux --- remote sensing --- olive orchard --- spatial variability --- agriculture --- impact --- measures --- nitrogen --- Sensitive Zones --- Tagus River Basin --- Vulnerable Zones --- basal crop coefficients --- crop coefficient curves --- crop transpiration --- Kcb from ground cover --- SIMDualKc model --- soil evaporation --- soil moisture --- soil temperature --- soil nutrient --- crop yield --- Corn --- Black soil --- deficit irrigation --- Fiesta grapes --- drip irrigation --- dried on the vine --- sustained deficit irrigation --- regulated deficit irrigation --- water–energy–food nexus --- policy-making --- stakeholder engagement --- fuzzy cognitive maps --- Spain --- Andalusia --- calibration --- irrigation district --- evapotranspiration --- crop growth --- validation --- Lycopersicon esculentum Mill. --- crop transpiration --- soil evaporation --- drip and basin irrigation --- deficit irrigation --- reform --- Participatory Irrigation Management --- Transfer --- water users association --- biomass --- crop transpiration --- direct forcing --- leaf area index --- soil evaporation --- soil temperature --- soil water storage depletion --- root growth --- maize yield --- semi-arid region --- actual evapotranspiration --- Pampa biome --- eddy covariance --- evaporative fraction --- hysteresis loops --- dry drainage system --- water and salt balance --- groundwater --- evaporation --- salinity --- irrigation scheduling --- wheat --- soil water balance --- new technologies --- smartphone application --- reference evapotranspiration --- local advection --- aridity effects --- satellite observations --- Evapotranspiration --- Irrigation --- Density coefficient --- Dual crop coefficients --- Row crops --- water and land management --- water users’ organization --- water balance --- supply–demand balance model --- organizational analysis --- participatory management --- pressurized irrigation systems --- on-demand operation --- perturbation --- unsteady flow --- hydrant risk indicator --- relative pressure exceedance --- agricultural intensification --- DPSIR --- nitrogen --- pressures --- policies --- surface water pollution --- water-agriculture-food nexus --- crop water use and evapotranspiration --- irrigation scheduling --- design of irrigation systems --- simulation models --- droughts --- irrigation water governance --- economic and environmental issues
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Understanding deserts and drylands is essential, as arid landscapes cover >40% of the Earth and are home to two billion people. Today's problematic environment–human interaction needs contemporary knowledge to address dryland complexity. Physical dimensions in arid zones—land systems, climate and hazards, ecology—are linked with social processes that directly impact drylands, such as land management, livelihoods, and development. The challenges require integrated research that identifies systemic drivers across global arid regions. Measurement and monitoring, field investigation, remote sensing, and data analysis are effective tools to investigate natural dynamics. Equally, inquiry into how policy and practice affect landscape sustainability is key to mitigating detrimental activity in deserts. Relations between socio-economic forces and degradation, agro-pastoral rangeland use, drought and disaster and resource extraction reflect land interactions. Contemporary themes of food security, conflict, and conservation are interlinked in arid environments. This book unifies desert science, arid environments, and dryland development. The chapters identify land dynamics, address system risks and delineate human functions through original research in arid zones. Mixed methodologies highlight the vital links between social and environmental science in global deserts. The book engages with today's topical themes and presents novel analyses of arid land systems and societies.
Central Asia --- landscape --- One Belt --- One Road --- Kazakhstan --- Kyrgyzstan --- infrastructure --- environment --- New Silk Road --- drylands --- wind erosion modelling --- drag partition --- aerodynamic roughness --- remote sensing --- computational fluid dynamics --- cellular automata --- remote sensing --- modelling --- coverage --- grass height --- Cuchillas de la Zarca --- Chobe --- forest resources --- ecosystem services --- non-linear change --- protected areas --- disturbance --- drought --- sustainable livelihoods --- ecotone --- dryland --- KAZA --- Southern Africa --- nomadic pastoralism --- spatial migration model --- Afar --- livestock --- fodder demand --- fodder supply --- Asian dust --- human health --- Mongolia --- Japan --- subarctic agriculture --- Greenland --- soil quality index --- farming at its limits --- air temperature increase --- increase of growing season --- dry lake beds --- dust storm emission --- remote sensing --- Gobi Desert region --- communal rangelands --- property rights --- environmental impacts --- policy implementation --- drylands --- arid region --- LUCC --- driving forces --- snow index --- SPOT VGT --- Kashgar Region --- degrading --- tamarind age --- regeneration --- invasive vine --- vegetation survey --- erosion --- rotational grazing --- continuous grazing --- grassland degradation --- case study of nomadic and settlement grazing system --- remote sensing --- Mongolian grassland --- arid area --- land use change --- soil carbon storage --- global carbon balance --- the Shiyang River Basin --- riparian ecosystems --- Sonoran desert --- remote sensing --- land cover/land use --- drip irrigation --- groundwater --- common-pool resource --- water rights --- local farming --- desert reclamation --- desertification --- river basin development --- political ecology --- water --- vegetation response to precipitation --- dust storm outbreak --- cross correlation analysis --- the Hovmoller diagram --- environmental regime shift --- Gobi desert of Mongolia --- climate hazard --- Asia --- drylands --- risk --- drought --- desert --- Central Asia --- Kyrgyzstan --- infrastructure --- environment --- mining --- social movements --- protest --- environmental justice --- subversive clientelism --- China --- Tibetan Plateau --- Sanjiangyuan region --- social–ecological systems --- pastoralism --- partnerships --- co-management --- national parks --- Belt and Road Initiative --- mountains of Central Asia --- pastoralism --- Ethiopia --- South Omo --- Nyangatom --- Jordan River Basin --- water productivity --- Jordan --- Israel --- Palestine --- agriculture --- agricultural water intensity --- decoupling --- water security --- institutional change --- ecosystem services --- economic valuation --- drylands --- absence --- afforestation --- charisma --- China --- conservation --- desertification --- Gobi --- Mongolia
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Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.
wireless sensor network (WSN) --- Wi-SUN --- vine --- mandarin orange --- thermal image --- fluorescent measurement --- X-ray fluorescence spectroscopy --- visible and near-infrared reflectance spectroscopy --- heavy metal contamination --- spectral pre-processing --- feature selection --- machine-learning --- LiDAR --- light-beam --- plant localization --- Kinect --- leaf area index --- radiative transfer model --- neural networks --- GF-1 satellite --- wide field view --- big data --- geo-information --- plant phenotyping --- grapevine breeding --- Vitis vinifera --- ambient intelligence --- wireless sensor --- fuzzy logic --- smart irrigation --- virtual organizations of agents --- CIE-Lab --- precision plant protection --- optical sensor --- weed control --- classification --- NIR hyperspectral imaging --- chemometrics analysis --- weeds --- UAS --- RPAS --- one-class --- machine learning --- remote sensing --- geoinformatics --- plant disease --- pest --- deep convolutional neural networks --- real-time processing --- detection --- hyperspectral imaging --- soil type classification --- total nitrogen --- texture features --- data fusion --- Fusarium --- near-infrared --- spectroscopy --- hulled barely --- partial least squares-discriminant analysis --- remote sensing --- precision agriculture --- crop monitoring --- data fusion --- speckle --- diffusion --- scattering --- biological sensing --- apparent soil electrical conductivity --- ECa-directed soil sampling --- electromagnetic induction --- proximal sensor --- response surface sampling --- salt tolerance --- boron tolerance --- soil mapping --- soil salinity --- spatial variability --- irrigation --- energy balance --- water management --- semi-arid regions --- on-line vis-NIR measurement --- total nitrogen --- total carbon --- spiking --- gradient boosted machines --- artificial neural networks --- random forests --- rice --- striped stem-borer --- hyperspectral imaging --- texture feature --- data fusion --- greenhouse --- wireless sensor network --- data fusion --- dynamic weight --- dataset --- agriculture --- obstacle detection --- computer vision --- cameras --- stereo imaging --- thermal imaging --- LiDAR --- radar --- object tracking --- crop area --- remote sensing image classification --- area frame sampling --- stratification --- regression estimator --- agriculture --- meat spoilage --- vegetable oil --- quality assessment --- electronic nose --- electrochemical sensors --- spectral analysis --- feature selection --- genetic algorithms --- classification --- vegetation indices --- vineyard --- diseases --- spatial data --- sensor --- data fusion --- change of support --- geostatistics --- precision agriculture --- management zones --- event detection --- back propagation model --- multivariate water quality parameters --- time-series data --- spatial-temporal model --- connected dominating set --- water supply network --- SS-OCT --- Capsicum annuum --- germination --- salt concentration --- deep learning --- clover-grass --- precision agriculture --- dry matter composition --- proximity sensing --- 3D reconstruction --- RGB-D sensor --- crop inspection platform --- water depth sensors --- soil moisture sensors --- temperature sensors --- rice field monitoring --- irrigation --- silage --- packing density --- moisture content --- compound sensor --- simultaneous measurement --- birth sensor --- bovine embedded hardware --- ambient intelligence --- virtual organizations of agents --- Fusarium --- near infrared --- discrimination --- hulled barely --- naked barley --- wheat --- dielectric probe --- apple shelf-life --- dielectric dispersion --- electronic nose --- pest scouting --- pest management --- gas sensor --- noninvasive detection --- nitrogen --- near infrared sensors --- drying temperature --- SPA-MLR --- PLS --- CARS --- hyperspectral camera --- handheld --- sensor evaluation --- case studies --- soil --- moisture --- sensor --- landslide --- rice leaves --- chromium content --- laser-induced breakdown spectroscopy --- laser wavelength --- preprocessing methods --- agricultural land --- field crops --- land cover --- photograph-grid method --- remote sensing --- data validation and calibration --- mobile app --- wireless sensor networks (WSN) --- energy efficiency --- distributed systems --- processing of sensed data --- WSN distribution algorithms --- recognition patterns --- agriculture
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Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.
wireless sensor network (WSN) --- Wi-SUN --- vine --- mandarin orange --- thermal image --- fluorescent measurement --- X-ray fluorescence spectroscopy --- visible and near-infrared reflectance spectroscopy --- heavy metal contamination --- spectral pre-processing --- feature selection --- machine-learning --- LiDAR --- light-beam --- plant localization --- Kinect --- leaf area index --- radiative transfer model --- neural networks --- GF-1 satellite --- wide field view --- big data --- geo-information --- plant phenotyping --- grapevine breeding --- Vitis vinifera --- ambient intelligence --- wireless sensor --- fuzzy logic --- smart irrigation --- virtual organizations of agents --- CIE-Lab --- precision plant protection --- optical sensor --- weed control --- classification --- NIR hyperspectral imaging --- chemometrics analysis --- weeds --- UAS --- RPAS --- one-class --- machine learning --- remote sensing --- geoinformatics --- plant disease --- pest --- deep convolutional neural networks --- real-time processing --- detection --- hyperspectral imaging --- soil type classification --- total nitrogen --- texture features --- data fusion --- Fusarium --- near-infrared --- spectroscopy --- hulled barely --- partial least squares-discriminant analysis --- remote sensing --- precision agriculture --- crop monitoring --- data fusion --- speckle --- diffusion --- scattering --- biological sensing --- apparent soil electrical conductivity --- ECa-directed soil sampling --- electromagnetic induction --- proximal sensor --- response surface sampling --- salt tolerance --- boron tolerance --- soil mapping --- soil salinity --- spatial variability --- irrigation --- energy balance --- water management --- semi-arid regions --- on-line vis-NIR measurement --- total nitrogen --- total carbon --- spiking --- gradient boosted machines --- artificial neural networks --- random forests --- rice --- striped stem-borer --- hyperspectral imaging --- texture feature --- data fusion --- greenhouse --- wireless sensor network --- data fusion --- dynamic weight --- dataset --- agriculture --- obstacle detection --- computer vision --- cameras --- stereo imaging --- thermal imaging --- LiDAR --- radar --- object tracking --- crop area --- remote sensing image classification --- area frame sampling --- stratification --- regression estimator --- agriculture --- meat spoilage --- vegetable oil --- quality assessment --- electronic nose --- electrochemical sensors --- spectral analysis --- feature selection --- genetic algorithms --- classification --- vegetation indices --- vineyard --- diseases --- spatial data --- sensor --- data fusion --- change of support --- geostatistics --- precision agriculture --- management zones --- event detection --- back propagation model --- multivariate water quality parameters --- time-series data --- spatial-temporal model --- connected dominating set --- water supply network --- SS-OCT --- Capsicum annuum --- germination --- salt concentration --- deep learning --- clover-grass --- precision agriculture --- dry matter composition --- proximity sensing --- 3D reconstruction --- RGB-D sensor --- crop inspection platform --- water depth sensors --- soil moisture sensors --- temperature sensors --- rice field monitoring --- irrigation --- silage --- packing density --- moisture content --- compound sensor --- simultaneous measurement --- birth sensor --- bovine embedded hardware --- ambient intelligence --- virtual organizations of agents --- Fusarium --- near infrared --- discrimination --- hulled barely --- naked barley --- wheat --- dielectric probe --- apple shelf-life --- dielectric dispersion --- electronic nose --- pest scouting --- pest management --- gas sensor --- noninvasive detection --- nitrogen --- near infrared sensors --- drying temperature --- SPA-MLR --- PLS --- CARS --- hyperspectral camera --- handheld --- sensor evaluation --- case studies --- soil --- moisture --- sensor --- landslide --- rice leaves --- chromium content --- laser-induced breakdown spectroscopy --- laser wavelength --- preprocessing methods --- agricultural land --- field crops --- land cover --- photograph-grid method --- remote sensing --- data validation and calibration --- mobile app --- wireless sensor networks (WSN) --- energy efficiency --- distributed systems --- processing of sensed data --- WSN distribution algorithms --- recognition patterns --- agriculture
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Risk measures play a vital role in many subfields of economics and finance. It has been proposed that risk measures could be analysed in relation to the performance of variables extracted from empirical real-world data. For example, risk measures may help inform effective monetary and fiscal policies and, therefore, the further development of pricing models for financial assets such as equities, bonds, currencies, and derivative securities.
falsified products --- medication --- health risk --- low-income country --- regular vine copulas --- tree structures --- co-dependence modelling --- European stock markets --- carbon emissions --- fossil fuels --- crude oil --- coal --- low carbon targets --- green energy --- spot and futures prices --- Granger causality --- volatility spillovers --- quasi likelihood ratio (QLR) test --- diagonal BEKK --- full BEKK --- dynamic hedging --- socially responsible investment --- multivariate regime-switching --- time-varying correlations --- volatility transmission --- conscientiousness --- openness to experience --- perceived ease of use --- perceived usefulness --- online purchase intention --- dynamic conditional correlation --- generalized autoregressive score functions --- time-varying copula function --- CoVaR --- utility --- credit derivatives --- stochastic volatility --- asymptotic approximation --- risk aversion --- portfolio selection --- need hierarchy theory --- two-level optimization --- variance --- coherent risk measures --- probability of default --- bank risk --- banking regulation --- SYMBOL --- financial stability --- China’s food policy --- sustainable food security system --- japonica rice production --- two-level CES function --- technological progress --- Project Financing --- Mezzanine Financing --- option value --- Monte Carlo Simulations --- probabilistic cash flow --- optimizing financial model --- risks mitigation --- investment profitability --- financial hazard map --- random forests --- early warning system --- bank failure --- B-splines --- inflation forecast --- monthly CPI data --- out-of-sample forecast --- the sudden stop of capital inflow --- financial security --- the optimal scale of foreign exchange reserve --- utility maximization --- finance risk --- liquidity premium --- uncertainty termination --- investment horizon --- Amihud’s illiquidity ratio --- factor models --- diversification --- bank profitability --- bank risk --- dynamic panel --- European banking system --- sustainability of economic recovery --- Bayesian approach --- conjugate prior --- cartel --- leniency program --- policy simulation --- S&P 500 index options --- gain-loss ratio --- risk-neutral distribution --- binomial tree --- risk management --- market timing --- moving averages --- risk-free rate --- returns and volatility --- financial risk --- bankruptcy --- regression model --- sustainable development --- Slovak enterprises --- sentiment analysis --- polarity --- scientific verification --- emotion --- joy --- sadness --- climate change --- GMC --- VIX --- RV5MIN --- causal path --- ANN --- sovereign credit default swap (SCDS) --- emerging market --- markov regime switching --- credit risk --- risk assessment --- risk measures --- IPO underpricing --- financial crisis --- information asymmetry --- financial risks --- business groups --- financial performance --- group-affiliated --- institutional voids --- production frontier function --- stochastic frontier model --- specification testing --- wild bootstrap --- smoothing process --- empirical process --- simulations --- stakeholder theory --- sustainability --- risk --- social efficiency --- banking --- cooperative banks --- Data Envelopment Analysis (DEA) --- corporate sustainability --- news release --- stakeholder theory --- stock return volatility --- EGARCH-m --- life insurance --- term life insurance --- whole life insurance --- self-perceived health --- objective health status --- future health risk --- SHARE --- national health system
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