Prastut, a market research and strategic management company, founded in 1998 by Sangeeta Agrawal, offers innovative and agile solutions for businesses globally. With a team of experienced researchers, Prastut focuses on in-depth analysis, providing actionable insights backed by 20+ years of industry

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This presentation by Dr. Ajai Agrawal covers the mechanisms of accommodation and convergence in the eye, essential for focusing at different distances. It discusses the anatomy, reflexes, and theories related to these processes, providing a comprehensive overview for students and professionals in th

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Explore the world of portfolio evaluation by Dr. Pravin Agrawal, Ph.D. in Finance. Delve into the intricacies of portfolio management, balancing strengths and weaknesses in debt vs. equity, domestic vs. international investments, and more. Learn about measuring portfolio performance and risk-adjuste

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The birth of Data Mining is credited to papers by Agrawal, Imielinski, and Swami in the early 1990s, focusing on Association Rules and Frequent Itemsets. Market-Basket data analysis involves finding common item combinations, with applications in retail strategies and web content analysis.

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Dr. Ajai Agrawal, an Additional Professor at AIIMS, Rishikesh, presents valuable insights on refraction and common optical anomalies like hypermetropia and astigmatism. The session covers the basics of refractive errors, the concept of emmetropia, and detailed explanations of hypermetropia. Learn ab

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Subhash Chandra Agrawal, a renowned writer and Guinness World Record holder, sheds light on the Indian Right to Information (RTI) Act of 2005. He discusses the Act's significance in promoting transparency and democracy, highlighting proposed amendments that could impact the autonomy of Information C

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UMKC is in the vetting stage of its strategic plan, focusing on the next 5 and 10 years to ensure success for the university and represent it effectively. The plan includes Missouri Compacts and UMKC commitments, aligning with Chancellor Agrawal's pillars for student success, community impact, and i

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Dr. Ajai Agrawal, an Additional Professor at AIIMS Rishikesh, provides valuable insights on refraction in ophthalmology. The presentation covers topics such as emmetropia, refractive errors like myopia and hypermetropia, along with the types and characteristics of hypermetropia. Learn about the comm

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Vaneesa Agrawal, a prominent business lawyer specializing in startup law, noted, \u201cThe extension on tax holiday offered a crucial financial buffer for startups, allowing them to reinvest profits into growth rather than allocating funds for tax li

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Vaneesa Agrawal, an expert SEBI lawyer highlights that these regulations were designed to ensure transparency, mitigate conflicts of interest, and safeguard client interests by setting clear guidelines for who could provide investment advice and unde

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Anupam Saxena, a professor in Mechanical Engineering at the Indian Institute of Technology Kanpur, presents a detailed study on part and assembly drawings in ME 251 Lecture III. The lecture covers examples such as non-return valves, threaded fasteners, bolts, nuts, sizes, proportions, and representa

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Explore the intricate world of ocular pharmacology with Dr. Ajai Agrawal, an Additional Professor at A.I.I.M.S., Rishikesh. The learning objectives cover pharmacokinetics, pharmacodynamics, and various routes of drug administration in ocular treatments. Delve into the anatomy of the eye, tear film c

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Association rule mining is a data analysis technique introduced by Agrawal & Srikant in 1994, focusing on discovering interesting associations between values in a dataset. This involves finding frequent itemsets, infrequent itemsets, and utilizing properties to reduce the search space. The goal is t

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The digital economy is rapidly evolving, and with it comes the pressing need for effective governance of data \u2014 both personal and non-personal. As highlighted by Vaneesa Agrawal in her Thinking Legal

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This content discusses the concept of frequent itemsets and association rules in data mining, tracing back to the pioneering research by Rakesh Agrawal, Tomasz Imielinski, and Arun N. Swami. It covers market-basket data analysis, identifying frequent itemsets, and applications of association rules i

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