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The sensory properties of foods are the most important reason people eat the foods they eat. What those properties are and how we best measure those properties are critical to understanding food and eating behavior. Appearance, flavor, texture, and even the sounds of food can impart a desire to eat or cause us to dismiss the food as unappetizing, stale, or even inappropriate from a cultural standpoint. This Special Issue focuses on how sensory properties are measured, the specific sensory properties of various foods, and consumer behavior related to which properties might be most important in certain situations and how consumers use sensory attributes to make decisions about what they will eat. This Special Issue contains both research papers and review articles.
mayonnaise --- Choquet integral --- multi-attribute time-intensity (MATI) data --- foods --- fuzzy measure --- specialty food --- monosodium glutamate (MSG) --- food label --- plant breeding --- consumer test --- perception --- multi-criteria decision-making --- interaction indices --- multicollinearity --- unique food products --- sensory thresholds --- natural --- quality control --- Shapley value --- processing --- thermosensing --- willingness to pay --- esophageal cancer --- cross-cultural affective test --- carryover effects --- Prunus dulcis --- hot beverages --- sensory acceptability --- mixed models --- chicken soup --- sensory bias --- product development --- temperature --- methodological study --- relative importance of attributes to liking --- product improvement --- nonlinear models --- consumer --- lexicon --- descriptive sensory analysis --- emulsification --- ingredient --- hydroSOStainable products --- temporal drivers of liking (TDOL) --- texture --- MSG substitutes --- functional data analysis --- food --- ethnic food --- descriptive analysis --- LMG statistic --- shelf life --- sensory evaluation --- sensory --- coffee --- fruit chews --- descriptive
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Energy consumption and economic growth have been of great interest to researchers and policy-makers. Knowing the actual causal relationship between energy and the economy with respect to environmental degradation has important implications for modeling environmental and growth policies. The eleven chapters included herein aim to help researchers, academicians, and especially decision-makers to understand relevant issues and adopt appropriate methods to tackle and solve relevant environmental problems. Various methods from different disciplines are proposed and applied to various environmental and energy issues.
expected utility maximization --- decoupling theory --- urban utility tunnel --- sensitivity analysis --- environmental Kuznets curve (EKC) --- economic systems --- structural decomposition analysis --- thermodynamic cycles --- sustainable wind energy management --- environmental engineering --- energy commodities --- hedging strategies --- energy consumption --- industrialization --- energy --- waste --- Analytic Hierarchy Process --- panel data --- rank reversal --- economy --- industrial CO2 emission --- sustainability --- sustainable development --- energy-related carbon emissions --- Multi-Criteria Decision Analysis --- Shapley value --- Kaya identity --- circular economy --- minimum-variance hedge ratio --- MESSAGE model --- fixed assets investment --- life cycle cost --- Analytic Network Process --- environmental efficiency --- Pakistan --- data envelopment analysis --- embodied energy --- carbon emissions --- district distributed power plants --- economic benefit evaluation --- differential GMM estimation --- linearization --- effectiveness --- dynamic hybrid input–output model --- environment quality cointegration --- cost allocation --- risk aversion --- environment --- 3E --- financial development --- LMDI approach --- differential games --- energy recovery --- resource dependence theory --- open-loop control systems --- Tapio decoupling model --- uncertain dynamic systems
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