In recent years, cyber threats and malicious software attacks have been escalated on various platforms.Therefore, it has become essential to develop automated machine learning methods for defending against malware.In the present study, we propose stacked bidirectional long short-term memory (Stacked BiLSTM) and generative pre-trained transformer ba
Data transparency has played a key role in this pandemic.The aim of this paper is to map COVID-19 data availability and accessibility, and aquarium decor to rate their transparency and credibility in selected countries, by the source of information.This is used to identify knowledge gaps, and to analyse policy implications.The availability of a num
Sickle cell disease (SCD) is the most common genetic blood disorder in the United States, with over 100,000 people suffering from this debilitating disease.SCD is caused by abnormal hemoglobin (Hb) variants that interfere with normal red blood cell (RBC) function.Research on SCD has Cosmetic Bags led to the development and approval of several new S
Integrating expression quantitative trait loci (eQTL) data with genome-wide association studies (GWAS) steel-cockrings enables the discovery of pleiotropic gene regulatory variants that influence a wide range of traits and disease susceptibilities.However, a comprehensive understanding of the distribution of pleiotropic QTLs across the genome and t
Abstract Neuromorphic computing aims to develop hardware platforms that emulate the effectiveness of our brain.In this context, brain-inspired self-organizing memristive networks have been demonstrated as promising physical substrates steel-cockrings for in materia computing.However, understanding the connection between network dynamics and informa