Sleep is an imperative behavioral state that is observed in all organisms studied in the literature until now, but its functions are yet to be completely understood. Sleep is known to be homeostatically regulated and sleep ...
Subseasonal forecasting (SSF) is the forecasting of the weather parameters two weeks (weather timescale) to two months (seasons timescale) in advance. SSF was considered a ‘predictability desert’ as it is too long for much ...
Complex networks provide a common framework to study and understand dynamics on them, for instance, on internet, transportation networks, and protein interaction networks of biological systems. Though work on network science ...
Understanding the regulation of gene expression in the context of development is important as it helps in comprehending the processes by which cells differentiate and develop into specific tissues and organs. Cis-regulatory ...
Photo-crosslinked polymer nano-assemblies have gained significant importance in biomedical field in drug delivery, and tissue engineering, etc. This thesis work is aimed to make new classes of photo-crosslinkable polypeptides ...
Reliable communication of neuronal information by neurons of the central nervous system to its downstream neurons involves transformation of input spike trains to specific output spike trains. The spike train to spike train ...
Studying amorphous/disordered solids is challenging compared to their ordered counter parts, crystals. Lattice imperfections or defects in crystals are known to play a significant role in deformation, as the defects within ...
This thesis studies the causal effects of electricity access and quality on villages and households in India. Using three panels of rural household data, we quantify the impacts of short-term (0-7 years) and long-term (7-17 ...
In this work, we study the use of machine learning techniques to generate simulation of pp collisions at the CMS experiment at the LHC. Standard model processes such as W +jets form a background for beyond standard model ...
Visual-spatial memory is essential for forming a representation of whatever picture the eye captures in mind. Working memory is a subset of the limited capacity part of memory that helps in cognition by integrating information ...
Highly conserved during evolution, the Serine Hydrolase (SH) superfamily of enzymes is a diverse group of catalysts that conduct a wide range of metabolic events in eukaryotic cells. A recent characterization of the ...
Cerium dioxide (CeO2) sometimes referred to as ceria, is a rare earth metal oxide that is extensively used in a large number of applications. It is a white or pale-yellow powder that conducts electricity well and cannot ...
Indian capital markets are heavily influenced by foreign institutional investments(FII). Foreign institutional investors are drawn to investing in developing economies like India because of its substantially stronger growth ...
The development of novel algorithms that process information in ways that are classically intractable and achieve computational speedup is one of the prime motivations in quantum information research. Machine learning is ...
In neuroscience, zebra finches are used for studying bird vocalizations, which helps us draw parallels with human speech learning (Doupe & Kuhl, 2003). In this songbird species, only the male zebra finch sings as a part ...
One of the most traditional C-H activation reaction, Fujiwara-Moritani reaction requires stoichiometric metal oxidant. Electro-organic chemistry provides a greener alternative, where electron is used as the redox equivalent. ...
One of the open problems in data science is how to automate the end-to-end EDA process, which involves exploring the dataset, identifying patterns, outliers, and relationships among variables, and preparing the data for ...
PHARC is an autosomal recessive neurological disorder caused a null mutation in ABHD12 gene. The murine model for PHARC is kind of characterized but the other model organism like Drosophila is not well characterized. We ...
SARS-CoV-2, the virus responsible for the COVID-19 pandemic, has infected millions of lives worldwide, causing a significant number of deaths. Despite the development of several drugs and vaccines, the emergence of new ...
For decision making in environments with hidden changes in context and consequent uncertainty, it is suboptimal to perfectly accumulate evidence. Instead, an ideal strategy involves a non-linear belief updating process ...