A NOVEL DYNAMIC MODEL FOR RANKING CRYPTOCURRENCIES IN DIFFERENT TIME HORIZONS BASED ON DEEP LEARNING AND SENTIMENT ANALYSIS

A Novel Dynamic Model for Ranking Cryptocurrencies in Different Time Horizons Based on Deep Learning and Sentiment Analysis

This paper addresses the imperative task of assessing and ranking cryptocurrencies, particularly pertinent in the context of the burgeoning popularity of public blockchains.The proliferation of available options necessitates a rigorous evaluation, prompting the formulation of a novel model grounded in both objective and subjective criteria.To conte

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LncRNA landscape and associated ceRNA network in placental villus of unexplained recurrent spontaneous abortion

Abstract Background Unexplained recurrent spontaneous abortion (URSA) is one of the most challenging conditions frustrates women of childbearing age profoundly.The gene expression patterns and biological characteristics of placental villus in patients with URSA remain largely unknown.The aim of our study was to identify potential lncRNAs as well as

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Antioxidant potential of biotransformed green tea catechin metabolites and their impact on peripheral blood mononuclear cells

Objective: Catechin absorption, bioavailability, and distribution in human tissue and excretion were low.Colonic bacteria degrade catechin and few studies suggest that biotransformed metabolites may increase or decrease biological activities.However, the antioxidant potential of biotransformed metabolites is still unexplored.Hence, it is necessary

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RAPO: An Automated Performance Optimization Tool for Redis Clusters in Distributed Storage Metadata Management

Distributed storage systems are well-equipped to address the demands of massive data storage and rapid ankle-and-wrist-cuffs access in the era of big data.However, as the scale of these systems continues to expand, challenges related to data localization, performance optimization, and secure access have become increasingly prominent, making effecti

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