6 AN INTERDISCIPLINARY APPROACH TO STUDYING THE MITOCHONDRIAL TOXICITY OF PRENATAL PAH EXPOSURE


Reinforcement learning based Secure edge enabled multi task scheduling model for internet of everything applications

Abstract The fast growth of the Internet of Everything (IoE) has resulted Preamps in an exponential rise in network data, increasing the demand for distributed computing.Data collection and management with job scheduling using wireless sensor networks are considered essential requirements of the IoE environment; however, security issues over data s

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A study of combination of autoencoders and boosted Big-Bang crunch theory architectures for Land-Use classification using remotely sensed imagery

Abstract The research introduced a new method for land-use classification by merging deep convolutional neural networks with a modified NEW Neff V6320X1GB 7kg Wash 4kg Dry 1400rpm Integrated Washer Dryer -White variant of a metaheuristic optimization technique.The methodology involved utilizing the VGG-19 model for feature extraction, dimensionalit

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Targeting SRSF2 mutations in leukemia with RKI-1447: A strategy to impair cellular division and nuclear structure

Summary: Spliceosome machinery mutations are common early mutations in myeloid malignancies; however, effective targeted therapies against them are Agogo Bell still lacking.In the current study, we used an in vitro high-throughput drug screen among four different isogenic cell lines and identified RKI-1447, a Rho-associated protein kinase inhibitor

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