In the domain of human action recognition, existing works mainly focus on using RGB, depth, skeleton and infrared data for analysis.While these methods have the benefit of being non-invasive, they can only be used within limited setups, are prone to issues such as occlusion and often need substantial computational resources.In this work, we address

In this study, we attempted to conduct a comprehensive review of the existing and pertinent literature on the topic of factor investment.We performed Scientometric analysis of studies published in reputable finance journals, i.e., The Journal of Portfolio Management, The Financial Analysts Journal, The Journal of Asset Management and others, during

The cellular immune system screens peptides presented by host cells on MHC molecules to assess if the cells are infected.In this study we examined whether the presented peptides contain enough information for a proper self/nonself assessment by comparing the presented human (self) and bacterial or viral (nonself) peptides on a large number of MHC m

Abstract Accurate measles data is crucial for effective disease surveillance, outbreak response, and vaccination strategy formulation in India.However, data collection and analysis face significant challenges due to limitations in primary data sources, including the Health Management Information System (HMIS), the Integrated Disease Surveillance Pr