RECONSTRUCTION OF FINITE-ALPHABET BLOCK-SPARSE SIGNALS FROM MAP SUPPORT DETECTION


Predicting Renewable Energy Investment Using Machine Learning

In order to combat climate Chlorophyll change, many countries have promised to bolster Renewable Energy (RE) production following the Paris Agreement with some countries even setting a goal of 100% by 2025.The reasons are twofold: capitalizing on carbon emissions whilst concomitantly benefiting from reduced fossil fuel dependence and the fluctuatio

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Extracellular ATP and the P2X7 receptor in astrocyte-mediated motor neuron death: implications for amyotrophic lateral sclerosis

Abstract Background During pathology of the nervous system, increased extracellular ATP acts both as a cytotoxic factor and pro-inflammatory mediator through P2X7 receptors.In animal models of amyotrophic lateral sclerosis (ALS), astrocytes expressing superoxide dismutase 1 (SOD1G93A) mutations display a neuroinflammatory phenotype and contribute t

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3D-printed indirect bonding trays and transfer jigs for lingual brackets: Digital workflows and two case reports

With the advancement of 3-dimensionally (3D) printing technology, orthodontists can design and fabricate 3D-printed indirect bonding trays and transfer jigs for lingual brackets independently from the laboratory.The present article describes, in detail, the digital workflows for designing and fabricating 3D-printed lingual bracket indirect bonding

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Growth prediction models and dynamics of three fodder crops under fresh and brackish water irrigation in dry-land regions

The current study delves into the impact of irrigation using two distinct water sources (freshwater and brackish water) in conjunction with three salt-tolerant fodder crops (Sesbania, Guar, and Pearl millet) within arid dry-land environments for two year experiments.Brackish water irrigation impedes the growth of all three plant species and reduces

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