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The intense development of novel data-driven and hybrid methods for structural health monitoring (SHM) has been demonstrated by field deployments on large-scale systems, including transport, wind energy, and building infrastructure. The actionability of SHM as an essential resource for life-cycle and resilience management is heavily dependent on the advent of low-cost and easily deployable sensors Nonetheless, in optimizing these deployments, a number of open issues remain with respect to the sensing side. These are associated with the type, configuration, and eventual processing of the information acquired from these sensors to deliver continuous behavioral signatures of the monitored structures. This book discusses the latest advances in the field of sensor networks for SHM. The focus lies both in active research on the theoretical foundations of optimally deploying and operating sensor networks and in those technological developments that might designate the next generation of sensing solutions targeted for SHM. The included contributions span the complete SHM information chain, from sensor design to configuration, data interpretation, and triggering of reactive action. The featured papers published in this Special Issue offer an overview of the state of the art and further proceed to introduce novel methods and tools. Particular attention is given to the treatment of uncertainty, which inherently describes the sensed information and the behavior of monitored systems.

probabilistic data-interpretation --- Bayesian model updating --- error-domain model falsification --- iterative asset-management --- practical applicability --- computation time --- swarm-based parallel control (SPC) --- Internet of Things (IoT) --- soil–structure interaction (SSI) --- semi-active control --- adjacent buildings --- Bayesian inference --- model updating --- modal identification --- structural dynamics --- bridges --- sensor placement optimisation --- structural health monitoring --- damage identification --- mutual information --- evolutionary optimisation --- inertial sensor fusion --- instrumented particle --- MEMS --- sediment entrainment --- sensor calibration --- frequency of entrainment --- varying environmental and operational conditions --- damage detection and localization --- Gaussian process regression --- autoregressive with exogenous inputs --- distributed sensor network --- mode shape curvatures --- n/a --- soil-structure interaction (SSI)

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The intense development of novel data-driven and hybrid methods for structural health monitoring (SHM) has been demonstrated by field deployments on large-scale systems, including transport, wind energy, and building infrastructure. The actionability of SHM as an essential resource for life-cycle and resilience management is heavily dependent on the advent of low-cost and easily deployable sensors Nonetheless, in optimizing these deployments, a number of open issues remain with respect to the sensing side. These are associated with the type, configuration, and eventual processing of the information acquired from these sensors to deliver continuous behavioral signatures of the monitored structures. This book discusses the latest advances in the field of sensor networks for SHM. The focus lies both in active research on the theoretical foundations of optimally deploying and operating sensor networks and in those technological developments that might designate the next generation of sensing solutions targeted for SHM. The included contributions span the complete SHM information chain, from sensor design to configuration, data interpretation, and triggering of reactive action. The featured papers published in this Special Issue offer an overview of the state of the art and further proceed to introduce novel methods and tools. Particular attention is given to the treatment of uncertainty, which inherently describes the sensed information and the behavior of monitored systems.

Technology: general issues --- probabilistic data-interpretation --- Bayesian model updating --- error-domain model falsification --- iterative asset-management --- practical applicability --- computation time --- swarm-based parallel control (SPC) --- Internet of Things (IoT) --- soil-structure interaction (SSI) --- semi-active control --- adjacent buildings --- Bayesian inference --- model updating --- modal identification --- structural dynamics --- bridges --- sensor placement optimisation --- structural health monitoring --- damage identification --- mutual information --- evolutionary optimisation --- inertial sensor fusion --- instrumented particle --- MEMS --- sediment entrainment --- sensor calibration --- frequency of entrainment --- varying environmental and operational conditions --- damage detection and localization --- Gaussian process regression --- autoregressive with exogenous inputs --- distributed sensor network --- mode shape curvatures --- probabilistic data-interpretation --- Bayesian model updating --- error-domain model falsification --- iterative asset-management --- practical applicability --- computation time --- swarm-based parallel control (SPC) --- Internet of Things (IoT) --- soil-structure interaction (SSI) --- semi-active control --- adjacent buildings --- Bayesian inference --- model updating --- modal identification --- structural dynamics --- bridges --- sensor placement optimisation --- structural health monitoring --- damage identification --- mutual information --- evolutionary optimisation --- inertial sensor fusion --- instrumented particle --- MEMS --- sediment entrainment --- sensor calibration --- frequency of entrainment --- varying environmental and operational conditions --- damage detection and localization --- Gaussian process regression --- autoregressive with exogenous inputs --- distributed sensor network --- mode shape curvatures

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This reprint contains articles from the Special Issue of Animals “Housing Environment and Farm Animals' Well-Being”, including original research, review, and communication related to livestock and poultry environmental management, air quality control, emissions mitigation, and assessment of animal health and well-being.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- broiler production --- alternative flooring --- ammonia emissions --- animal welfare --- environmental impact --- air pollution control --- air quality --- volatile organic compounds --- odor --- environmental technology --- advanced oxidation --- UV --- thermal index --- sows --- environmental parameters --- heat stress threshold --- skin temperature --- temperature and humidity index --- black globe-humidity index --- effective temperature --- equivalent temperature index for sows --- enthalpy --- group housing system --- individual stall --- behavior --- stress hormone --- offspring --- gestating sows --- weaned piglets --- cold exposure --- growth performance --- skeletal muscle fiber --- antioxidant capacity --- dairy cattle --- heat stress --- airborne E. coli --- settled E. coli --- survivability --- airborne transmission --- poultry --- heavy broiler --- surface temperature --- air velocity --- temperature humidity index --- alternative housing --- body temperature --- bone quality --- relative brain weight --- welfare --- pullet status --- housing type --- environmental management --- livestock monitoring --- camera coverage optimization --- sensor placement --- genetic algorithm

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This book is a printed edition of the Special Issue Wine Fermentation that was published in Fermentation

peculiar yeasts --- red wine --- wine color --- non-targeted analysis --- volatile sulfur compounds --- phenolic content --- reductive off-odors --- Saccharomyces --- Saccharomyces bayanus --- partially dehydrated grapes --- elemental sulfur --- yield manipulation --- fermented drinks --- appassimento --- metabolomics --- yeast mixtures --- oenological enzymes --- metabolite profiling --- sulfur compounds --- cluster thinning --- winemaking --- yeast hybrids --- anthocyanins --- microwave-assisted extraction --- extraction --- color intensity --- spontaneous fermentation --- yeast --- extraction methods --- stuck and sluggish fermentation --- phenoloxidase --- process control --- non-Saccharomyces yeasts --- pioneering winemaking techniques --- reappearance --- Ontario --- wine --- Central Coast of California --- CFD --- classical chemical analysis --- color --- metabolic modelling --- temperature control --- wine clarification --- vine balance --- vineyard management --- protease --- crop load --- sensor placement --- Lachancea --- end-user software --- yeast physiology and metabolism --- microwave --- polymeric pigments --- polythionates as precursors --- grape maturity --- volatile acidity --- ultrasound --- glycosidase --- Pinot noir --- pectinase --- sensory --- climate change adaptation --- tannins --- aroma --- Merlot

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This book presents the paper form of the Special Issue (SI) on Smart Urban Water Networks. The number and topics of the papers in the SI confirm the growing interest of operators and researchers for the new paradigm of smart networks, as part of the more general smart city. The SI showed that digital information and communication technology (ICT), with the implementation of smart meters and other digital devices, can significantly improve the modelling and the management of urban water networks, contributing to a radical transformation of the traditional paradigm of water utilities. The paper collection in this SI includes different crucial topics such as the reliability, resilience, and performance of water networks, innovative demand management, and the novel challenge of real-time control and operation, along with their implications for cyber-security. The SI collected fourteen papers that provide a wide perspective of solutions, trends, and challenges in the contest of smart urban water networks. Some solutions have already been implemented in pilot sites (i.e., for water network partitioning, cyber-security, and water demand disaggregation and forecasting), while further investigations are required for other methods, e.g., the data-driven approaches for real time control. In all cases, a new deal between academia, industry, and governments must be embraced to start the new era of smart urban water systems.

Technology: general issues --- hydraulic modelling --- pressure control valve --- pressure management --- remote real-time control --- stochastic consumption --- water distribution system --- fault identification --- hydraulic transient --- inverse transient analysis (ITA) --- water distribution network --- optimization approach --- water distribution monitoring --- optimal sensor placement --- water network partitioning --- topological centrality --- smart water system --- framework --- smartness --- cyber wellness --- leakage --- sensitivity --- uncertainty --- entropy --- multi-criteria decision-making --- DEMATEL --- clustering --- district metered area --- network sectorization --- smart city --- water quality monitoring --- Internet of Things --- wireless sensor networks --- water treatment plant --- data analytics --- nitrate --- nitrite --- water demand forecasting --- hybrid model --- error correction --- chaotic time series --- least square support vector machine --- cross-correlation --- data spatial aggregation --- finite population effect --- metering --- sample mean --- sampling design --- standard error --- stochastic analysis --- water demand peak factor --- water distribution networks --- comparative analysis --- hydraulic measure --- multi-criteria decision analysis (MCDA) --- reliability index --- water distribution network (WDN) --- smart stormwater --- machine learning --- cluster analysis --- data science --- flooding detection --- rainwater harvesting --- water trading --- dual reticulation --- decentralized water supply --- agent-based modeling --- urban water management --- urban water consumption --- water demand data --- water data accessibility --- data resolution --- smart meter --- smart water systems --- cyber-physical security --- cyber-security --- cyber-physical attacks --- water distribution systems --- cyber-attack detection --- blind sources separation --- FastICA --- hydraulic modelling --- pressure control valve --- pressure management --- remote real-time control --- stochastic consumption --- water distribution system --- fault identification --- hydraulic transient --- inverse transient analysis (ITA) --- water distribution network --- optimization approach --- water distribution monitoring --- optimal sensor placement --- water network partitioning --- topological centrality --- smart water system --- framework --- smartness --- cyber wellness --- leakage --- sensitivity --- uncertainty --- entropy --- multi-criteria decision-making --- DEMATEL --- clustering --- district metered area --- network sectorization --- smart city --- water quality monitoring --- Internet of Things --- wireless sensor networks --- water treatment plant --- data analytics --- nitrate --- nitrite --- water demand forecasting --- hybrid model --- error correction --- chaotic time series --- least square support vector machine --- cross-correlation --- data spatial aggregation --- finite population effect --- metering --- sample mean --- sampling design --- standard error --- stochastic analysis --- water demand peak factor --- water distribution networks --- comparative analysis --- hydraulic measure --- multi-criteria decision analysis (MCDA) --- reliability index --- water distribution network (WDN) --- smart stormwater --- machine learning --- cluster analysis --- data science --- flooding detection --- rainwater harvesting --- water trading --- dual reticulation --- decentralized water supply --- agent-based modeling --- urban water management --- urban water consumption --- water demand data --- water data accessibility --- data resolution --- smart meter --- smart water systems --- cyber-physical security --- cyber-security --- cyber-physical attacks --- water distribution systems --- cyber-attack detection --- blind sources separation --- FastICA