Plants grow in a highly dynamic and complex environment, where adaptability and plasticity are key factors for their survival and development. Mobile signals, whether short- or long-distance, play an essential role in ...

This first five chapters of this thesis are concerned with the study of some two-player combinatorial games on random premises. These chapter include 1. the k-jump normal and k-jump misere ` games on rooted Galton-Watson ...

Metazoan embryonic development relies on precise cellular and morphogenetic processes, which are highly-energy intensive. Mitochondria, the powerhouse of the cell, play vital roles in various such morphogenetic events for ...

Malaria caused by the Plasmodium falciparum is driven by alterations in the infected RBC surface by recruiting antigens that can bind to the endothelial receptors (cytoadherence). The clonally variant multigene family of ...

Organocatalysis has become one of the essential pillars of asymmetric catalysis, complementing enzyme and chiral metal catalysis. Over the last few decades, various carbon-carbon and carbon-hetero (C-C and C-X) bond-forming ...

NHC/NHSi-ligated Transition Metal Complexes: Versatile Platforms for Catalysis and Small Molecule Activation Sandeep Kaulage and Shabana Khan* The chemistry of N-heterocyclic carbenes (NHCs) and N-heterocyclic silylene ...

The Membrane-associated Periodic Skeleton (MPS) is a critical cytoskeletal structure observed in diverse neuronal subtypes across multiple species. Since its identification in 2013, it has been demonstrated to be essential ...

Nature has always been the underlying inspiration for various solar energy conversion technologies and among them, solar-to-chemical energy conversion in photosynthesis is considered to be the most elegant way to make ...

One of the goals of early universe cosmology is to understand the physics of inflation. Since we cannot visually access this epoch, we rely on indirect observations, e.g., measuring temperature correlations on the CMB. By ...

Understanding the behavior of time-evolving systems is central to contemporary data science, with wide-ranging applications in domains such as finance, biology and environmental studies. These systems are often high-dimensional, ...