Jawaharlal Nehru University

About: Jawaharlal Nehru University is a education organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Politics. The organization has 6082 authors who have published 13455 publications receiving 245407 citations. The organization is also known as: JNU.

The Adenylate Cyclase Toxins

Abstract: Cyclic AMP is a ubiquitous messenger that integrates many processes of the cell. Diverse families of adenylate cyclases and phosphodiesterases stringently regulate the intracellular concentration of cAMP. Any alteration in the cytosolic concentration of cAMP has a profound effect on the various processes of the cell. Disruption of these cellular processes in vivo is often the most critical event in the pathogenesis of infectious diseases for animals and humans. Many pathogenic bacteria secrete toxins to alter the intracellular concentration of cAMP. These toxins either disrupt the normal regulation of the host cell's adenylate cyclases/phosphodiesterases or they themselves catalyze the synthesis of cAMP in the host cell. The latter are known as the adenylate cyclase toxins. Four such toxins have been identified: the invasive adenylate cyclase of Bordetella pertussis, the edema factor of Bacillus anthracis, ExoY of Pseudomonas aeruginosa, and the adenylate cyclase of Yersinia pestis. These adenylate cyclase toxins enter the eukaryotic host cells and get activated by eukaryotic cofactors, like calmodulin, to trigger the synthesis of cAMP in these cells. By accumulating cAMP in the target cells, these toxins either modulate the cellular function or completely deactivate the cell for further function. The immune effector cells appear to be the primary target of these adenylate cyclase toxins. By accumulating cAMP in the immune effector cells, these adenylate cyclase toxins poison the immune system and thus facilitate the survival of the bacteria in the host.

Contesting Urban Metabolism: Struggles Over Waste‐to‐Energy in Delhi, India

Abstract: Recent scholarship on the materiality of cities has been criticized by critical urban scholars for being overly descriptive and failing to account for political economy. We argue that through the conceptualization of urban metabolisms advanced by ecological economists and industrial ecologists, materialist and critical perspectives can be mutually enriching. We focus on conflict that has erupted in Delhi, India. Authorities have embraced waste-to-energy incinerators, and wastepickers fear that these changes threaten their access to waste, while middle class residents oppose them because of their deleterious impact on ambient air quality. We narrate the emergence of an unlikely alliance between these groups, whose politics opposes the production of a waste-based commodity frontier within the city. We conclude that the materiality and political economy of cities are co-constituted, and contestations over the (re)configuration of urban metabolisms span these spheres as people struggle to realize situated urban political ecologies.

Invited review: Physics potential of the ICAL detector at the India-based Neutrino Observatory (INO)

Abstract: The upcoming 50 kt magnetized iron calorimeter (ICAL) detector at the India-based Neutrino Observatory (INO) is designed to study the atmospheric neutrinos and antineutrinos separately over a wide range of energies and path lengths. The primary focus of this experiment is to explore the Earth matter effects by observing the energy and zenith angle dependence of the atmospheric neutrinos in the multi-GeV range. This study will be crucial to address some of the outstanding issues in neutrino oscillation physics, including the fundamental issue of neutrino mass hierarchy. In this document, we present the physics potential of the detector as obtained from realistic detector simulations. We describe the simulation framework, the neutrino interactions in the detector, and the expected response of the detector to particles traversing it. The ICAL detector can determine the energy and direction of the muons to a high precision, and in addition, its sensitivity to multi-GeV hadrons increases its physics reach substantially. Its charge identification capability, and hence its ability to distinguish neutrinos from antineutrinos, makes it an efficient detector for determining the neutrino mass hierarchy. In this report, we outline the analyses carried out for the determination of neutrino mass hierarchy and precision measurements of atmospheric neutrino mixing parameters at ICAL, and give the expected physics reach of the detector with 10 years of runtime. We also explore the potential of ICAL for probing new physics scenarios like CPT violation and the presence of magnetic monopoles.

Modeling groundwater quality over a humid subtropical region using numerical indices, earth observation datasets, and X-ray diffraction technique: a case study of Allahabad district, India.

Abstract: Water is undoubtedly the vital commodity for all living creatures and required for well-being of the human society. The present work is based on the surveys and chemical analyses performed on the collected groundwater samples in a part of the Ganga basin in order to understand the sources and evolution of the water quality in the region. The two standard indices such as water quality index and synthetic pollution index for the classification of water in the region are computed. The soil and sediment analysis are carried out with the help of X-ray diffractometer (XRD) for the identification of possible source of ions in water from rock and soil weathering. The dominant minerals which include quartz, muscovite, plagioclase, and orthoclase are reported in the area. The study further utilizes the multivariate statistical techniques for handling large and complex datasets in order to get better information about the groundwater quality. The following statistical methods such as cluster analysis (CA), factor analysis (FA), and principal component analysis (PCA) are applied to handle the large datasets and to understand the latent structure of the data. Through FA/PCAs, we have identified a total of 3 factors in pre-monsoon and 4 factors in post-monsoon season, which are responsible for the whole data structure. These factors explain 77.62 and 82.39 % of the total variance of the pre- and post-monsoon datasets. On the other hand, CA depicted the regions that have similar pollutants origin. The average value of synthetic pollution index of groundwater during pre-monsoon is 9.27, while during post-monsoon, it has been recorded as 8.74. On the other hand, the average values of water quality index of groundwater during pre-monsoon and post-monsoon seasons are found as 217.59 and 233.02, respectively. The study indicates that there occurs an extensive urbanization with gradual vast development of various small- and large-scale industries, which is responsible for degradation in water quality. The overall analysis reveals that the agricultural runoff, waste disposal, leaching, and irrigation with wastewater are the main causes of groundwater pollution followed by some degree of pollution from geogenic sources such as rock and soil weathering, confirmed through XRD analysis.