The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Bin Chen - One of the best experts on this subject based on the ideXlab platform.
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Energy-Water Nexus in Urban Industrial System
Energy Procedia, 2016Co-Authors: Bin ChenAbstract:Abstract Energy and water are coupled in urban industrial systems in terms of energy-water nexus, playing key roles to sustain a city. This work proposed an Environmental Input-output analysis based methodological model to depict the nexus and reflect its dualistic impacts on the nature, which was applied into Beijing's case. Results show the agriculture and manufacturing sectors had the higher nexus intensities, playing as major energy consumers with higher embodied water consumption via the urban industrial chain. We hope this work would help to explore the energy-water nexus for urban system management.
Douglas G Mcmahon - One of the best experts on this subject based on the ideXlab platform.
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rhythmic regulation of membrane potential and potassium current persists in scn neurons in the absence of Environmental Input
European Journal of Neuroscience, 2004Co-Authors: Sandra J Kuhlman, Douglas G McmahonAbstract:Neurons of the mammalian suprachiasmatic nucleus (SCN) generate self-sustained rhythms of action potential frequency having a period of approximately 24 h. It is generally believed that cell autonomous circadian oscillation of a network of biological clock genes drives the circadian rhythm in neuronal firing rate through as yet unspecified effects on the neuronal membrane. While it is clear that cyclic gene expression continues in constant darkness, previous studies have not examined which specific membrane properties of SCN neurons continue to oscillate in constant conditions. Here, we demonstrate that SCN neurons exhibit robust rhythms in resting membrane potential and Input resistance in constant darkness. Furthermore, application of the K + channel blocker tetraethylammonium revealed a rhythm in K + current amplitude that persists in constant darkness and underlies the rhythm in membrane potential.
Asher D Cutter - One of the best experts on this subject based on the ideXlab platform.
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genetically distinct behavioral modules underlie natural variation in thermal performance curves
G3: Genes Genomes Genetics, 2019Co-Authors: Gregory W Stegeman, Scott Everet Baird, William S Ryu, Asher D CutterAbstract:Thermal reaction norms pervade organismal traits as stereotyped responses to temperature, a fundamental Environmental Input into sensory and physiological systems. Locomotory behavior represents an especially plastic read-out of animal response, with its dynamic dependence on Environmental stimuli presenting a challenge for analysis and for understanding the genomic architecture of heritable variation. Here we characterize behavioral reaction norms as thermal performance curves for the nematode Caenorhabditis briggsae, using a collection of 23 wild isolate genotypes and 153 recombinant inbred lines to quantify the extent of genetic and plastic variation in locomotory behavior to temperature changes. By reducing the dimensionality of the multivariate phenotypic response with a function-valued trait framework, we identified genetically distinct behavioral modules that contribute to the heritable variation in the emergent overall behavioral thermal performance curve. Quantitative trait locus mapping isolated regions on Chromosome II associated with locomotory activity at benign temperatures and Chromosome V loci related to distinct aspects of sensitivity to high temperatures, with each quantitative trait locus explaining up to 28% of trait variation. These findings highlight how behavioral responses to Environmental Inputs as thermal reaction norms can evolve through independent changes to genetically distinct modular components of such complex phenotypes.
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genetically distinct behavioral modules underlie natural variation in thermal performance curves
bioRxiv, 2019Co-Authors: Gregory W Stegeman, Scott Everet Baird, William S Ryu, Asher D CutterAbstract:Thermal reaction norms pervade organismal traits as stereotyped responses to temperature, a fundamental Environmental Input into sensory and physiological systems. Locomotory behavior represents an especially plastic read-out of animal response, with its dynamic dependence on Environmental stimuli presenting a challenge for analysis and for understanding the genomic architecture of heritable variation. Here we characterize behavioral reaction norms as thermal performance curves for the nematode Caenorhabditis briggsae , using a collection of 23 wild isolate genotypes and 153 recombinant inbred lines to quantify the extent of genetic and plastic variation in locomotory behavior to temperature changes. By reducing the dimensionality of the multivariate phenotypic response with a function-valued trait framework, we identified genetically distinct behavioral modules that contribute to the heritable variation in the emergent overall behavioral thermal performance curve. Quantitative trait locus (QTL) mapping isolated regions on Chromosome II associated with locomotory activity at benign temperatures and Chromosome V loci related to distinct aspects of sensitivity to high temperatures, with each QTL explaining up to 28% of trait variation. These findings highlight how behavioral responses to Environmental Inputs as thermal reaction norms can evolve through independent changes to genetically distinct modular components of such complex phenotypes.
Karen Turner - One of the best experts on this subject based on the ideXlab platform.
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examining the nature and structure of a local pollutant an illustrative case of physical waste generation in scotland using Environmental Input output accounting methods
2017Co-Authors: Oluwafisayo Alabi, Karen Turner, Grant Allan, Kim SwalesAbstract:This paper explores how the Environmental Input-output model can be applied to consider the fundamental aspects of physical waste problems in Scotland. In particular, we consider how IO multiplier methods may be used to develop an understanding of demand drivers of a local pollutant (taking physical waste as an example). This is with the aim to demonstrate how Environmental IO Type I multipliers (incorporating direct and indirect, or inter-industry, effects) may be used to describe and communicate key elements of local pollution impacts. As a first step, we calculate the amount of waste directly generated in different production activities in Scotland under what is commonly referred to as a ‘production based principle’. We also attribute total waste generated in production to the different types of final consumers, whose demand for particular output directly or indirectly may be attributed as driving this waste generation. More generally, we consider how this approach may be used as a basis for the home region dimension of a footprint analysis based on a partial ‘consumption accounting principle’. We argue that employing IO methods in this way can provide information that may prove useful if regional policy makers attempt to consider waste reduction through consumption-focussed polices as well as production-based ones.
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Input-output analyses of the pollution content of intra- and inter-national trade flows
Contemporary Social Science, 2012Co-Authors: Karen Turner, Cathy Xin Cui, Geoffrey J. D. HewingsAbstract:This paper considers the application of Input–output accounting methods to consider the pollution implications of different production and consumption activities, with specific focus on pollution embodied in intra- and inter-national trade flows. It considers the illustrative case studies of production and consumption measures of emissions and pollution embodied in interregional trade flows between two regions of the UK and between five Midwest regions/states within the United States. The analysis raises questions in terms of policy reliance on the extremes of conventional production and consumption accounting measures and considers a range of alternative measures that may be calculated using Input–output methods to provide different informational content. The paper focuses on different types of air pollutant of current policy concern in each the UK and the US Midwest cases and demonstrates how use of the Environmental Input–output framework allows the analysis of the nature and significance of interregio...
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the co2 trade balance between scotland and the rest of the uk performing a multi region Environmental Input output analysis with limited data
Ecological Economics, 2008Co-Authors: Peter Mcgregor, Kim J Swales, Karen TurnerAbstract:In this paper we attempt an empirical application of the multi-region Input-output (MRIO) method proposed by Turner, Lenzen, Wiedmann and Barrett [Turner, K., Lenzen, M., Wiedmann, T., Barrett, J., 2007. Examining the global Environmental impact of regional consumption activities -- part 1: a technical note on combining Input-output and ecological footprint analysis. Ecological Economics 62 (1), 37-44] in a recent issue of this journal in order to enumerate the CO2 pollution content of interregional trade flows between Scotland and the rest of the UK (RUK). We extend the analysis to account for direct emissions generation by households, as final consumers, and to a social accounting matrix (SAM), where a more comprehensive account of incomes and expenditures is possible. While the existence of significant data problems mean that the quantitative results of this study should be regarded as provisional, the interregional economy-environment IO and SAM framework for Scotland and RUK allows an illustrative analysis of some very important issues in terms of the nature and significance of interregional Environmental spillovers within the UK and the existence of a CO2 'trade balance' between Scotland and RUK.
Sandra J Kuhlman - One of the best experts on this subject based on the ideXlab platform.
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rhythmic regulation of membrane potential and potassium current persists in scn neurons in the absence of Environmental Input
European Journal of Neuroscience, 2004Co-Authors: Sandra J Kuhlman, Douglas G McmahonAbstract:Neurons of the mammalian suprachiasmatic nucleus (SCN) generate self-sustained rhythms of action potential frequency having a period of approximately 24 h. It is generally believed that cell autonomous circadian oscillation of a network of biological clock genes drives the circadian rhythm in neuronal firing rate through as yet unspecified effects on the neuronal membrane. While it is clear that cyclic gene expression continues in constant darkness, previous studies have not examined which specific membrane properties of SCN neurons continue to oscillate in constant conditions. Here, we demonstrate that SCN neurons exhibit robust rhythms in resting membrane potential and Input resistance in constant darkness. Furthermore, application of the K + channel blocker tetraethylammonium revealed a rhythm in K + current amplitude that persists in constant darkness and underlies the rhythm in membrane potential.