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.

Imagined Religious Communities? Ancient History and the Modern Search for a Hindu Identity

Abstract: My choice of subject for this lecture arose from what I think might have been a matter of some interest to Kingsley Martin; as also from my own concern that the interplay between the past and contemporary times requires a continuing dialogue between historians working on these periods. Such a dialogue is perhaps more pertinent to post-colonial societies where the colonial experience changed the framework of the comprehension of the past from what had existed earlier: a disjuncture which is of more than mere historiographical interest. And where political ideologies appropriate this comprehension and seek justification from the pre-colonial past, there, the historian's comment on this process is called for. Among the more visible strands in the political ideology of contemporary India is the growth and acceptance of what are called communal ideologies. ‘Communal’, as many in this audience are aware, in the Indian context has a specific meaning and primarily perceives Indian society as constituted of a number of religious communities. Communalism in the Indian sense therefore is a consciousness which draws on a supposed religious identity and uses this as the basis for an ideology. It then demands political allegiance to a religious community and supports a programme of political action designed to further the interests of that religious community. Such an ideology is of recent origin but uses history to justify the notion that the community (as defined in recent history) and therefore the communal identity have existed since the early past.

Are You Risk Averse over Other People's Money?

Abstract: Decisions with uncertain outcomes are often made by one party in settings where another party bears the consequences. Whenever an individual is delegated to make decisions that affect others, such as in the typical corporate structure, does the individual make decisions that reflect the risk preferences of the party bearing the consequences? We examine this question in two simple settings, lottery choices and sealed-bid auctions, using controlled laboratory experiments. We find that when an individual makes a decision for an anonymous stranger, there is a tendency to exhibit less risk aversion. This reduction in risk aversion is relative to his or her own preferences, and it is also relative to his or her belief about the preferences of others. This result has significant implications for the design of contracts between principals and agents.

Inhibition of protein aggregation: supramolecular assemblies of arginine hold the key.

Abstract: Background. Aggregation of unfolded proteins occurs mainly through the exposed hydrophobic surfaces. Any mechanism of inhibition of this aggregation should explain the prevention of these hydrophobic interactions. Though arginine is prevalently used as an aggregation suppressor, its mechanism of action is not clearly understood. We propose a mechanism based on the hydrophobic interactions of arginine. Methodology. We have analyzed arginine solution for its hydrotropic effect by pyrene solubility and the presence of hydrophobic environment by 1-anilino-8-naphthalene sulfonic acid fluorescence. Mass spectroscopic analyses show that arginine forms molecular clusters in the gas phase and the cluster composition is dependent on the solution conditions. Light scattering studies indicate that arginine exists as clusters in solution. In the presence of arginine, the reverse phase chromatographic elution profile of Alzheimer’s amyloid beta 1-42 (Ab1-42) peptide is modified. Changes in the hydrodynamic volume of Ab1-42 in the presence of arginine measured by size exclusion chromatography show that arginine binds to Ab1-42. Arginine increases the solubility of Ab1-42 peptide in aqueous medium. It decreases the aggregation of Ab1-42 as observed by atomic force microscopy. Conclusions. Based on our experimental results we propose that molecular clusters of arginine in aqueous solutions display a hydrophobic surface by the alignment of its three methylene groups. The hydrophobic surfaces present on the proteins interact with the hydrophobic surface presented by the arginine clusters. The masking of hydrophobic surface inhibits protein-protein aggregation. This mechanism is also responsible for the hydrotropic effect of arginine on various compounds. It is also explained why other amino acids fail to inhibit the protein aggregation.

Yeast ATP-binding cassette transporters conferring multidrug resistance.

Abstract: Overexpression of the ATP-binding cassette (ABC) drug transporter P-glycoprotein (P-gp) is often responsible for the failure of chemotherapy as a treatment for human tumors. The presence of proteins homologous to P-gp in organisms ranging from prokaryotes to eukaryotes indicates that drug export is a general mechanism of multidrug resistance. Yeasts are no exception. They have developed a large subfamily of ABC exporters involved in pleiotropic drug resistance (PDR) and in the cellular efflux of a wide variety of drugs. The PDR transporters Pdr5p of Saccharomyces cerevisiae and Cdr1p of Candida albicans are important members of this PDR subfamily, which comprises up to 10 phylogenetic clusters in fungi. Here, we review current achievements concerning the structure, molecular mechanism, and physiological functions of yeast Pdr transporters.

Tropospheric Ozone Assessment Report: Database and Metrics Data of Global Surface Ozone Observations

Abstract: In support of the first Tropospheric Ozone Assessment Report (TOAR) a relational database of global surface ozone observations has been developed and populated with hourly measurement data and enhanced metadata. A comprehensive suite of ozone data products including standard statistics, health and vegetation impact metrics, and trend information, are made available through a common data portal and a web interface. These data form the basis of the TOAR analyses focusing on human health, vegetation, and climate relevant ozone issues, which are part of this special feature. Cooperation among many data centers and individual researchers worldwide made it possible to build the world's largest collection of in-situ hourly surface ozone data covering the period from 1970 to 2015. By combining the data from almost 10,000 measurement sites around the world with global metadata information, new analyses of surface ozone have become possible, such as the first globally consistent characterisations of measurement sites as either urban or rural/remote. Exploitation of these global metadata allows for new insights into the global distribution, and seasonal and long-term changes of tropospheric ozone and they enable TOAR to perform the first, globally consistent analysis of present-day ozone concentrations and recent ozone changes with relevance to health, agriculture, and climate. Considerable effort was made to harmonize and synthesize data formats and metadata information from various networks and individual data submissions. Extensive quality control was applied to identify questionable and erroneous data, including changes in apparent instrument offsets or calibrations. Such data were excluded from TOAR data products. Limitations of a posteriori data quality assurance are discussed. As a result of the work presented here, global coverage of surface ozone data for scientific analysis has been significantly extended. Yet, large gaps remain in the surface observation network both in terms of regions without monitoring, and in terms of regions that have monitoring programs but no public access to the data archive. Therefore future improvements to the database will require not only improved data harmonization, but also expanded data sharing and increased monitoring in data-sparse regions.