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In the modern world, the competitiveness of bioenergy- and/or bioresources-related activities heavily depends on the effectiveness of supply chain management. A large number of multidisciplinary topics are involved in the bioresources and bioenergy production fields. Although the technical issues that are related with the topic are well-discussed and do not represent major barriers, supply chain management issues, such as design of the network, collection, storage or transportation of bioresources, are still considered as fundamental questions that need to be answered to enable the optimal exploitation of bioenergy and bioresources. Moreover, modeling of material and energy flows; identification of the dynamic character of the supply chains; available reverse logistics (waste management) alternatives; economic, social and environmental sustainability of bioresource supply chains; novelty in the applied business models; and decision support frameworks towards efficient supply chain management for bioenergy and bioresources present critical operational sustainability issues and business-making potential. This Special Issue, entitled “Supply Chain Management for Bioenergy and Bioresources”, seeks to contribute to the bioenergy and bioresources agenda through enhanced scientific and multi-disciplinary knowledge that may boost the performance efficiency of supply chain management and support the decision-making process of stakeholders. To that end, the Special Issue includes one extensive review on yellow and woody biomass supply-chain management, together with six original papers which span a number of innovative, multifaceted, technical developments that are related to all different echelons of supply chain management for bioenergy and bioresources.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- supply-chain design --- strategic planning --- operational planning --- energy crop production --- crop residue --- dry above ground biomass --- soybean --- empirical models --- bilinear regression analysis --- agricultural operations --- energy use --- assessment tool --- workability --- machinery --- agricultural machinery --- fleet management --- auto-steering system --- collaborative operating system --- flow-shop --- simulation --- field experiment --- Fuzzy Cognitive Maps --- photovoltaic solar energy --- scenario analysis --- decision-support --- energy management --- bioenergy --- efficiency of bio-resources --- decision support system --- multi-criteria analysis --- sustainability --- neuro-fuzzy --- ANFIS --- neural networks --- soft computing --- fuzzy cognitive maps --- energy forecasting --- natural gas --- prediction

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In the modern world, the competitiveness of bioenergy- and/or bioresources-related activities heavily depends on the effectiveness of supply chain management. A large number of multidisciplinary topics are involved in the bioresources and bioenergy production fields. Although the technical issues that are related with the topic are well-discussed and do not represent major barriers, supply chain management issues, such as design of the network, collection, storage or transportation of bioresources, are still considered as fundamental questions that need to be answered to enable the optimal exploitation of bioenergy and bioresources. Moreover, modeling of material and energy flows; identification of the dynamic character of the supply chains; available reverse logistics (waste management) alternatives; economic, social and environmental sustainability of bioresource supply chains; novelty in the applied business models; and decision support frameworks towards efficient supply chain management for bioenergy and bioresources present critical operational sustainability issues and business-making potential. This Special Issue, entitled “Supply Chain Management for Bioenergy and Bioresources”, seeks to contribute to the bioenergy and bioresources agenda through enhanced scientific and multi-disciplinary knowledge that may boost the performance efficiency of supply chain management and support the decision-making process of stakeholders. To that end, the Special Issue includes one extensive review on yellow and woody biomass supply-chain management, together with six original papers which span a number of innovative, multifaceted, technical developments that are related to all different echelons of supply chain management for bioenergy and bioresources.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- supply-chain design --- strategic planning --- operational planning --- energy crop production --- crop residue --- dry above ground biomass --- soybean --- empirical models --- bilinear regression analysis --- agricultural operations --- energy use --- assessment tool --- workability --- machinery --- agricultural machinery --- fleet management --- auto-steering system --- collaborative operating system --- flow-shop --- simulation --- field experiment --- Fuzzy Cognitive Maps --- photovoltaic solar energy --- scenario analysis --- decision-support --- energy management --- bioenergy --- efficiency of bio-resources --- decision support system --- multi-criteria analysis --- sustainability --- neuro-fuzzy --- ANFIS --- neural networks --- soft computing --- fuzzy cognitive maps --- energy forecasting --- natural gas --- prediction --- supply-chain design --- strategic planning --- operational planning --- energy crop production --- crop residue --- dry above ground biomass --- soybean --- empirical models --- bilinear regression analysis --- agricultural operations --- energy use --- assessment tool --- workability --- machinery --- agricultural machinery --- fleet management --- auto-steering system --- collaborative operating system --- flow-shop --- simulation --- field experiment --- Fuzzy Cognitive Maps --- photovoltaic solar energy --- scenario analysis --- decision-support --- energy management --- bioenergy --- efficiency of bio-resources --- decision support system --- multi-criteria analysis --- sustainability --- neuro-fuzzy --- ANFIS --- neural networks --- soft computing --- fuzzy cognitive maps --- energy forecasting --- natural gas --- prediction

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In recent years, bioeconomy strategies have been implemented and adapted internationally. In the bioeconomy, materials are to a certain extent circular by nature. However, biomaterials may also be used in a rather linear way. Lately, a transition towards a circular economy, a more restorative and regenerative economic model, is being promoted worldwide. A circular economy offers an alternative model aiming at “doing more and better with less”. It is based on the idea that circulating matter and energy will diminish the need for new input. Its concept lies in maintaining the value of products, materials, and resources for as long as possible and at the same time minimizing or even eliminating the amount of waste produced. Focused on “closing the loops”, a circular economy is a practical solution for promoting entrepreneurial sustainability, economic growth, environmental resilience, and a better quality of life for all. The most efficient way to close resource loops is to find value in the waste. Different modes of resource circulation may be applied, e.g., raw materials, by-products, human resources, logistics, services, waste, energy, or water. To that end, this Special Issue seeks to contribute to the circular bioeconomy agenda through enhanced scientific and multidisciplinary knowledge to boost the performance efficiency of circular business models and support decision-making within the specific field. The Special Issue includes innovative technical developments, reviews, and case studies, all of which are relevant to green, closed-loop, circular bioeconomy.

Economic history --- bioeconomy --- survey --- strategies --- research program --- biogas --- lignocellulose --- microalgae --- agricultural sustainability --- sustainability assessment --- review --- ammonia loss --- land application --- manure management --- irrigation --- biofuels --- spatial difference-in-difference --- corn markets --- climate change adaptation --- transformative adaptation --- limits to adaptation --- adaptation barrier --- fuzzy cognitive maps --- resilience --- sustainability --- vulnerability --- Sundarbans --- circular economy --- sustainable socio-economic development --- quality of life --- poverty alleviation --- participatory modelling --- ordered weighted averaging --- aggregation --- reflectance spectroscopy --- soil spectral libraries --- VNIR-SWIR --- soil organic matter --- carbon sequestration --- forestry --- wood --- non-wood forest products --- developing world --- rural electrification --- Sub-Saharan Africa --- energy --- agriculture --- machine learning --- artificial neural networks --- natural gas --- demand forecasting --- indicators --- investments' sustainability --- multi-criteria analysis --- decision support --- ELECTRE III --- coronavirus --- occupational health and safety --- food security --- control measures --- systemic design --- rice --- wine --- value chains --- by-products --- bioeconomy --- survey --- strategies --- research program --- biogas --- lignocellulose --- microalgae --- agricultural sustainability --- sustainability assessment --- review --- ammonia loss --- land application --- manure management --- irrigation --- biofuels --- spatial difference-in-difference --- corn markets --- climate change adaptation --- transformative adaptation --- limits to adaptation --- adaptation barrier --- fuzzy cognitive maps --- resilience --- sustainability --- vulnerability --- Sundarbans --- circular economy --- sustainable socio-economic development --- quality of life --- poverty alleviation --- participatory modelling --- ordered weighted averaging --- aggregation --- reflectance spectroscopy --- soil spectral libraries --- VNIR-SWIR --- soil organic matter --- carbon sequestration --- forestry --- wood --- non-wood forest products --- developing world --- rural electrification --- Sub-Saharan Africa --- energy --- agriculture --- machine learning --- artificial neural networks --- natural gas --- demand forecasting --- indicators --- investments' sustainability --- multi-criteria analysis --- decision support --- ELECTRE III --- coronavirus --- occupational health and safety --- food security --- control measures --- systemic design --- rice --- wine --- value chains --- by-products

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Cybercrime is increasingly exposing the health domain to growing risk. The push towards a strong connection of citizens to health services, through digitalization, has undisputed advantages. Digital health allows remote care, the use of medical devices with a high mechatronic and IT content with strong automation, and a large interconnection of hospital networks with an increasingly effective exchange of data. However, all this requires a great cybersecurity commitment—a commitment that must start with scholars in research and then reach the stakeholders. New devices and technological solutions are increasingly breaking into healthcare, and are able to change the processes of interaction in the health domain. This requires cybersecurity to become a vital part of patient safety through changes in human behaviour, technology, and processes, as part of a complete solution. All professionals involved in cybersecurity in the health domain were invited to contribute with their experiences. This book contains contributions from various experts and different fields. Aspects of cybersecurity in healthcare relating to technological advance and emerging risks were addressed. The new boundaries of this field and the impact of COVID-19 on some sectors, such as mhealth, have also been addressed. We dedicate the book to all those with different roles involved in cybersecurity in the health domain.

Medical equipment & techniques --- n/a --- personal health record --- emergency access --- access control --- blockchain --- hyperledger fabric --- hyperledger composer --- auditability --- privacy &amp --- security --- healthcare --- review --- electronic medical record --- cloud --- internet of things --- technology convergence --- eHealth --- medical devices --- digital health --- mHealth --- cyber-risk --- pacemaker --- artificial pancreas --- app --- regulation --- wearable device --- digital identity --- decentralized identity --- identity management --- smart contract --- Ethereum --- sexism --- social networks --- adolescence --- digital gender gap --- emotional well-being --- healthcare service --- body area network --- privacy --- authentication --- security protocol --- cybersecurity culture --- COVID-19 --- security assessment --- phishing --- health domain --- cybersecurity --- fuzzy cognitive maps --- telehealth --- scenario analysis --- planning --- contact tracing --- pandemic --- fall detection --- fall prediction --- fall prevention --- fall risk factors --- gait assessment --- 5G networks --- key performance indicators --- wireless communication --- awareness --- healthcare domain

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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.

hysteresis loops --- irrigation systems design --- fuzzy cognitive maps --- Standardized Precipitation Index (SPI) --- olive orchard --- Kcb from ground cover --- crop growth --- surface water pollution --- crop water use and evapotranspiration --- measures --- water–energy–food nexus --- water-agriculture-food nexus --- drought classes --- soil temperature --- pressures --- crop water requirements --- Standardized Precipitation and Evapotranspiration Index (SPEI) --- validation --- latent heat flux --- log-linear modeling --- impact --- Row crops --- dried on the vine --- reform --- Tagus River Basin --- precise land levelling --- regulated deficit irrigation --- Transfer --- relative pressure exceedance --- irrigation district --- evaporation --- Irrigation --- perturbation --- aridity effects --- economic and environmental issues --- water users’ organization --- pressurized irrigation systems --- decision support systems (DSS) --- Pampa biome --- crop yield --- reference evapotranspiration --- DPSIR --- SIMDualKc model --- semi-arid region --- wheat --- calibration --- design of irrigation systems --- Density coefficient --- simulation models --- biomass --- crop transpiration --- groundwater --- direct forcing --- Spain --- satellite observations --- maize yield --- water and salt balance --- soil water balance --- spatial variability --- persistence --- supply–demand balance model --- sustained deficit irrigation --- leaf area index --- evapotranspiration --- eddy covariance --- dry drainage system --- droughts --- Participatory Irrigation Management --- Black soil --- surface irrigation modelling --- drip and basin irrigation --- remote sensing --- crop coefficient curves --- irrigation scheduling --- unsteady flow --- root growth --- North Atlantic Oscillation (NAO) --- Sensitive Zones --- soil evaporation --- actual evapotranspiration --- agricultural intensification --- organizational analysis --- policies --- water and land management --- agriculture --- hydrant risk indicator --- evaporative fraction --- local advection --- Fiesta grapes --- Evapotranspiration --- Dual crop coefficients --- Vulnerable Zones --- salinity --- cut-off time --- soil moisture --- irrigation water governance --- nitrogen --- Andalusia --- Corn --- basal crop coefficients --- water balance --- participatory management --- beneficial water use --- soil nutrient --- water users association --- deficit irrigation --- stakeholder engagement --- new technologies --- smartphone application --- drip irrigation --- Lycopersicon esculentum Mill. --- inflow rates --- policy-making --- soil water storage depletion --- on-demand operation