Multilayer network decoding versatility and trust

In the recent years, the multilayer networks have increasingly been realized as a more realistic framework to understand emergent physical phenomena in complex real world systems. We analyze a massive time-varying social data drawn from the largest film industry of the world under multilayer network framework. The framework enables us to evaluate the versatility of actors, which turns out to be an intrinsic property of lead actors. Versatility in dimers suggests that working with different types of nodes are more beneficial than with similar ones. However, the triangles yield a different relation between type of co-actor and the success of lead nodes indicating the importance of higher order motifs in understanding the properties of the underlying system. Furthermore, despite the degree-degree correlations of entire networks being neutral, multilayering picks up different values of correlation indicating positive connotations like trust, in the recent years. Analysis of weak ties of the industry uncovers nodes from lower degree regime being important in linking Bollywood clusters. The framework and the tools used herein may be used for unraveling the complexity of other real world systems.Comment: 16 pages, 5 figure

AI-DRIVEN PAYMENT ORCHESTRATION PLATFORMS: PERFORMANCE METRICS, SCALABILITY, AND INTEROPERABILITY

Payment orchestration platforms powered by artificial intelligence (AI) are rapidly transforming the global payments landscape. These innovative solutions enable businesses to streamline and optimize their payment processes, leading to improved operational efficiency, enhanced customer experience, and increased revenue growth. This research article explores the key performance metrics, scalability considerations, and interoperability challenges associated with AI-driven payment orchestration platforms. By examining these critical aspects, we aim to provide valuable insights for businesses seeking to leverage these cutting-edge technologies and stay competitive in the ever-evolving digital payments ecosystem

Determinants of anaemia among adolescent girls in rural Varanasi, Uttar Pradesh

Background: India is home to 253 million adolescents 10-19 years of age, among the largest cohorts globally. This age group comprises of individuals in a transient phase of life requiring nutrition, education, counselling and guidance to ensure their development into healthy adults. Adolescent girls are the most vulnerable group of population due to different reasons especially anaemia. Anaemia is a major public health problem worldwide. The aim of this study was to assess the prevalence of anaemia and associated factors among adolescent girls (10-19 years) in rural Varanasi, Uttar Pradesh. Methods: The present study was a community-based cross-sectional study conducted among 369 adolescent girls in rural Varanasi with a semi-structured and pretested questionnaire. Results: Study shows that the overall prevalence of anaemia among adolescent girls was 67.8% out of which 41.5% and 24.4% were mild and moderately anaemic respectively. Anaemia was significantly associated with age groups, birth order, menarche status, no. of days of menstruation, gap between two cycles, use of clothes/sanitary pads and no. of pads used during menstrual cycle. Conclusions: Study found some preliminary factors significantly associated with anaemia like low socio-economic status, higher birth order, and knowledge about menstrual hygiene practices. Anaemia continues to be a major public health problem in India despite multiple initiatives to address it among adolescent girls