PACKET-BASED PREAMBLE DESIGN FOR RANDOM ACCESS IN MASSIVE IOT COMMUNICATION SYSTEMS


ASSESSING THE EFFECTIVENESS OF STATE POLICY FOR THE DEVELOPMENT OF SMALL AND MEDIUM-SIZED BUSINESSES: FINANCIAL ASPECT

The main purpose of the article is a theoretical and methodological substantiation of the optimal choice of a modern strategy for implementing state policy for the development of small and medium-sized businesses in Ukraine.The object of the study is the development of small and medium-sized businesses.The subject of the Fish Food study is the stat

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Chronic alcohol-induced long-lasting working memory deficits are associated with altered histone H3K9 dimethylation in the prefrontal cortex

IntroductionEpigenetic modifications have emerged as key contributors to the enduring behavioral, molecular and epigenetic neuroadaptations during withdrawal from chronic Fitness alcohol exposure.The present study investigated the long-term consequences of chronic alcohol exposure on spatial working memory (WM) and associated changes of transcripti

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SLiTRANet: An EEG-Based Automated Diagnosis Framework for Major Depressive Disorder Monitoring Using a Novel LGCN and Transformer-Based Hybrid Deep Learning Approach

Major depressive disorder (MDD) is a mental ailment marked by a loss of interest in activities, persistent depression, and hopelessness.MDD has been on the rise in society in recent decades for varied reasons and has spurred suicidal tendencies among individuals.Early detection, continuous monitoring, and effective treatment are crucial for its imp

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A new uniform framework of source attribution in forensic science

Abstract Scientific principles of forensic source identification have attracted widespread interest in recent years.Among those presented principles and theorems, the Bayes inference was regarded as one of the most scientific principles.In this paper, we argue that the Bayes theorem is in challenge when used as principal basis 76% ORANGE CHOC BAR f

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