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\"This volume develops a historically informed phenomenology of caste and untouchability. It explores the idea of 'Brahmin' and the practice of untouchability by offering a scholarly reading of ancient and medieval texts. By going beyond the notions of purity and pollution, it presents a new framework of understanding relationships between social groups and social categories. An important intervention in the study of caste and untouchability, this book will be an essential read for the scholars and researchers of political studies, political philosophy, cultural studies, Dalit studies, Indology, sociology, social anthropology and Ambedkar studies\"-- Provided by publisher.

Writing Self, Writing Empireexamines the life, career, and writings of the Mughal state secretary, or munshi, Chandar Bhan \"Brahman\" (d. c.1670), one of the great Indo-Persian poets and prose stylists of early modern South Asia. Chandar Bhan's life spanned the reigns of four different emperors, Akbar (1556-1605), Jahangir (1605-1627), Shah Jahan (1628-1658), and Aurangzeb Alamgir (1658-1707), the last of the Great Mughals whose courts dominated the culture and politics of the subcontinent at the height of the empire's power, territorial reach, and global influence. As a high-caste Hindu who worked for a series of Muslim monarchs and other officials, forming powerful friendships along the way, Chandar Bhan's experience bears vivid testimony to the pluralistic atmosphere of the Mughal court, particularly during the reign of Shah Jahan, the celebrated builder of the Taj Mahal. But his widely circulated and emulated works also touch on a range of topics central to our understanding of the court's literary, mystical, administrative, and ethical cultures, while his letters and autobiographical writings provide tantalizing examples of early modern Indo-Persian modes of self-fashioning. Chandar Bhan's oeuvre is a valuable window onto a crucial, though surprisingly neglected, period of Mughal cultural and political history.

On the political role of the Brahmans in India.

Vedānta is one of the oldest philosophical systems. While there are many detailed commentaries on Vedānta, there are very few mathematical descriptions of the different concepts developed there. This article shows how ideas from theoretical computer science can be used to explain Vedānta. The standard ideas of transition systems and modal logic are used to develop a formal description for the different ideas in Vedānta. The generality of the formalism is illustrated via a number of examples including , Patañjali’s s, , the three s from the and the key difference between and in relation to

This chapter contains sections titled: Tamil Brahmans: Introductory Background The Non‐Brahman Movement and Reservations Education The Position of Women Migration and Urbanization Social Structure Cultural Values and Self‐Esteem Comparison and Conclusion References

\"A portrait of the collision between tradition and modernity in India, as told through the lives of the Brahmins in the holy city of Benares\"-- Provided by publisher.

Fertility traits measured early in life define the reproductive potential of heifers. Knowledge of genetics and biology can help devise genomic selection methods to improve heifer fertility. In this study, we used ~2400 Brahman cattle to perform GWAS and multi-trait meta-analysis to determine genomic regions associated with heifer fertility. Heifer traits measured were pregnancy at first mating opportunity (PREG1, a binary trait), first conception score (FCS, score 1 to 3) and rebreeding score (REB, score 1 to 3.5). The heritability estimates were 0.17 (0.03) for PREG1, 0.11 (0.05) for FCS and 0.28 (0.05) for REB. The three traits were highly genetically correlated (0.75–0.83) as expected. Meta-analysis was performed using SNP effects estimated for each of the three traits, adjusted for standard error. We identified 1359 significant SNPs (p-value < 9.9 × 10−6 at FDR < 0.0001) in the multi-trait meta-analysis. Genomic regions of 0.5 Mb around each significant SNP from the meta-analysis were annotated to create a list of 2560 positional candidate genes. The most significant SNP was in the vicinity of a genomic region on chromosome 8, encompassing the genes SLC44A1, FSD1L, FKTN, TAL2 and TMEM38B. The genomic region in humans that contains homologs of these genes is associated with age at puberty in girls. Top significant SNPs pointed to additional fertility-related genes, again within a 0.5 Mb region, including ESR2, ITPR1, GNG2, RGS9BP, ANKRD27, TDRD12, GRM1, MTHFD1, PTGDR and NTNG1. Functional pathway enrichment analysis resulted in many positional candidate genes relating to known fertility pathways, including GnRH signaling, estrogen signaling, progesterone mediated oocyte maturation, cAMP signaling, calcium signaling, glutamatergic signaling, focal adhesion, PI3K-AKT signaling and ovarian steroidogenesis pathway. The comparison of results from this study with previous transcriptomics and proteomics studies on puberty of the same cattle breed (Brahman) but in a different population identified 392 genes in common from which some genes—BRAF, GABRA2, GABR1B, GAD1, FSHR, CNGA3, PDE10A, SNAP25, ESR2, GRIA2, ORAI1, EGFR, CHRNA5, VDAC2, ACVR2B, ORAI3, CYP11A1, GRIN2A, ATP2B3, CAMK2A, PLA2G, CAMK2D and MAPK3—are also part of the above-mentioned pathways. The biological functions of the positional candidate genes and their annotation to known pathways allowed integrating the results into a bigger picture of molecular mechanisms related to puberty in the hypothalamus–pituitary–ovarian axis. A reasonable number of genes, common between previous puberty studies and this study on early reproductive traits, corroborates the proposed molecular mechanisms. This study identified the polymorphism associated with early reproductive traits, and candidate genes that provided a visualization of the proposed mechanisms, coordinating the hypothalamic, pituitary, and ovarian functions for reproductive performance in Brahman cattle.

Selected articles of Tantai Periyār Ī. Ve. Rāmacāmi, 20th century social reformer from Tamil Nadu.

Background Cross-validation tools are used increasingly to validate and compare genetic evaluation methods but analytical properties of cross-validation methods are rarely described. There is also a lack of cross-validation tools for complex problems such as prediction of indirect effects (e.g. maternal effects) or for breeding schemes with small progeny group sizes. Results We derive the expected value of several quadratic forms by comparing genetic evaluations including “partial” and “whole” data. We propose statistics that compare genetic evaluations including “partial” and “whole” data based on differences in means, covariance, and correlation, and term the use of these statistics “method LR” (from linear regression). Contrary to common belief, the regression of true on estimated breeding values is (on expectation) lower than 1 for small or related validation sets, due to family structures. For validation sets that are sufficiently large, we show that these statistics yield estimators of bias, slope or dispersion, and population accuracy for estimated breeding values. Similar results hold for prediction of future phenotypes although we show that estimates of bias, slope or dispersion using prediction of future phenotypes are sensitive to incorrect heritabilities or precorrection for fixed effects. We present an example for a set of 2111 Brahman beef cattle for which, in repeated partitioning of the data into training and validation sets, there is very good agreement of statistics of method LR with prediction of future phenotypes. Conclusions Analytical properties of cross-validation measures are presented. We present a new method named LR for cross-validation that is automatic, easy to use, and which yields the quantities of interest. The method compares predictions based on partial and whole data, which results in estimates of accuracy and biases. Prediction of observed records may yield biased results due to precorrection or use of incorrect heritabilities.