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This paper examines how students' network size, distance, prestige, and connections to influential individuals impact academic performance. Larger and closer networks facilitate information exchange, but may also increase distractions that decrease productivity. We resolve this ambiguity using administrative data from a business school that features random assignment of students to multiple overlapping sets of peers, allowing us to calculate degree, closeness, eigenvector, and Katz-Bonacich centrality for each node. We find that increasing closeness centrality within the network negatively affects student performance measured by grade point average, suggesting that synergy reduction and information processing costs outweigh benefits from greater information access. (JEL 123, L14, L23), I. INTRODUCTION Social environment not only affects labor market outcomes but is also an important determinant of human capital accumulation and productivity. The importance of social networks in mitigating information [...]

The evolution of cryptoassets has been an exasperating experience for tax administrations the world over and it is no different in India. Over the years, the Indian authorities have struggled to frame regulations delineating the acceptability and contours of cryptoasset transactions and the issue has been compounded by judicial involvement. Nonetheless, the Indian tax administration has shed its inertia in order to introduce a specific and high tax incidence regime for cryptoassets, which treats these assets as distinct from capital assets. The value-added tax (VAT) rules, however, are a work in progress. The purpose of this paper is to trace the evolution of the taxation of, and regulatory framework for, cryptoassets in India, which continue to be intricately intertwined. The methodology employed in this paper is deliberately less analytical and more informative so as to inform the readers about contemporary developments, thereby highlighting the challenges faced by developing nations when framing tax policy and law for cryptoassets. The paper finds that the existing regulations are a work in progress, with larger concerns, such as money laundering and tax evasion, overwhelmingly dictating the evolution and enforcement of tax laws for cryptoassets. These findings have serious implications for the crypto ecosystem, because the initial reaction of the crypto market participants to these high tax incidence and strenuous withholding tax requirements reveals a clear inverse correlation between the tough tax and regulatory regime and crypto transactions. [ABSTRACT FROM AUTHOR]

The article discusses a case study of a 5-year-old girl with twisted and rolled body hairs, presenting as multiple black dot-like skin lesions on her cheeks and back. The study utilized light microscopy, dermoscopy, and scanning electron microscopy to analyze the hair samples, revealing knots, twists, and pink fibers entangled in the hair. The condition is considered an acquired defect of unknown origin, more commonly reported in Caucasians due to differences in hair characteristics. The authors emphasize the need for further research to understand the pathogenesis of this unusual hair malformation. [Extracted from the article]