Membrane Catalyzed Formation of Nucleotide Clusters and Their Role in the Origins of Life: Insights from Molecular Simulations and Lattice Modeling.

One of the mysteries in studying the molecular "Origin of Life" is the emergence of RNA and RNA-based life forms, where nonenzymatic polymerization of nucleotides is a crucial hypothesis in formation of large RNA chains. The nonenzymatic polymerization can be mediated by various environmental settings, such as cycles of hydration and dehydration, temperature variations, and proximity to a variety of organizing matrices, such as clay, salt, fatty acids, lipid membrane, and mineral surface. In this work, we explore the influence of different phases of the lipid membrane toward nucleotide organization and polymerization in a simulated prebiotic setting.

Vestigial singlet pairing in a fluctuating magnetic triplet superconductor and its implications for graphene superlattices.

Stacking and twisting graphene layers allows to create and control a two-dimensional electron liquid with strong correlations. Experiments indicate that these systems exhibit strong tendencies towards both magnetism and triplet superconductivity. Motivated by this phenomenology, we study a 2D model of fluctuating triplet pairing and spin magnetism.

Pathogenesis of Viral Infections and Male Reproductive Health: An Evidence-Based Study.

Viruses, being intracellular obligate parasites, can cause several congenital and sexually transmitted diseases. Depending on the site of infection, viruses can adopt various pathogenic mechanisms for their survival and to escape the host immune response. The male reproductive system is one of the attainable targets of many viruses including immunodeficiency virus (HIV), Zika virus (ZIKV), adenovirus, cytomegalovirus (CMV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and infection with such viruses may cause serious health issues.

GrapHD: Graph-Based Hyperdimensional Memorization for Brain-Like Cognitive Learning.

Memorization is an essential functionality that enables today's machine learning algorithms to provide a high quality of learning and reasoning for each prediction. Memorization gives algorithms prior knowledge to keep the context and define confidence for their decision. Unfortunately, the existing deep learning algorithms have a weak and nontransparent notion of memorization.

Characterization of a new virulent phage ϕMC1 specific to Microbulbifer strain CMC-5.

Microbulbifer strain CMC-5, isolated from decomposing seaweeds degrades agar, alginate, carrageenan, chitin, carboxymethyl cellulose and xylan. Using bacterial strain CMC-5 as host, a novel virulent phage, designated ϕMC1 was isolated from the coast of Goa, India. Although ϕMC1 demonstrated cross infectivity with type species of Microbulbifer such as M.