A MODEL FOR THE BIOSYNTHESIS AND TRANSPORT OF PLASMA MEMBRANE-ASSOCIATED SIGNALING RECEPTORS TO THE CELL SURFACE

A model for the biosynthesis and transport of plasma membrane-associated signaling receptors to the cell surface

Intracellular protein transport is emerging as critical in determining the outcome of receptor-activated signal transduction pathways.In plants, relatively little is known about the nature of Bundles the molecular components and mechanisms involved in coordinating receptor synthesis and transport to the cell surface.Recent advances in this field in

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How active forces influence nonequilibrium glass transitions

Dense assemblies of self-propelled particles undergo a nonequilibrium form of glassy Dual Fuel Range dynamics.Physical intuition suggests that increasing departure from equilibrium due to active forces fluidifies a glassy system.We falsify this belief by devising a model of self-propelled particles where increasing departure from equilibrium can bo

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Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Vector Inputs

Short-term load forecasting is crucial for the operations planning of an electrical grid.Forecasting the next 24 h Figurines of electrical load in a grid allows operators to plan and optimize their resources.The purpose of this study is to develop a more accurate short-term load forecasting method utilizing non-linear autoregressive artificial neur

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Hardware Accelerated Sequence Alignment with Traceback

Embroidery Needles Biological sequence alignment is an essential tool used in molecular biology and biomedical applications.The growing volume of genetic data and the complexity of sequence alignment present a challenge in obtaining alignment results in a timely manner.Known methods to accelerate alignment on reconfigurable hardware only address se

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