
Partha Pratim Ray
Communications Professional, News Contributor, Content Editor at Freelance
Experienced Communications Professional. loves to write on F1 Sports, WRC, travel & tourism, art & culture, Branding and climate change.
Articles
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1 week ago |
epw.in | Partha Pratim Ray
This special issue of the Economic & Political Weekly is devoted to several leitmotifs of money, banking, and finance. With an emphasis on diversity and spanning over seven papers, this special issue delves into various themes. While some of the themes are contemporary, some are more classical. Dear Reader, To continue reading, become a subscriber. Explore our attractive subscription offers. OrTo gain instant access to this article (download).
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1 week ago |
epw.in | Biju Paul Abraham |Partha Pratim Ray
Pakistan and the IMF Lending The IMF, being a quota-based organisation, is often run at the behest of the bigger quota holders, dominated by the US, European countries, and China. Pakistan, despite being a serial borrower, exhibiting the features of a classic rentier state, was able to obtain continuous support from the US, China, and select countries in the Arab world on account of its strategic location and ability to build alliances.
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1 month ago |
preprints.org | Partha Pratim Ray |Westley Van Zant
Choose an area of interest and we will send you notifications of new preprints at your preferred frequency.
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1 month ago |
epw.in | Parthapratim Pal |Partha Pratim Ray
Dubious Foundation of Questionable Economics The United States authorities try to justify the imposition of tariffs as a response to persistent US trade deficits and the perceived decline of domestic manufacturing, arguing that trade imbalances undermine advanced manufacturing capacity and critical supply chains. However, this argument overlooks several other factors that influence the US trade deficit and domestic economy.
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1 month ago |
nature.com | Partha Pratim Ray
The integration of Artificial Intelligence (AI) into clinical genetics represents a transformative frontier in medicine, driven largely by advancements in machine learning (ML), deep learning (DL), and generative AI techniques. The comprehensive review by Dat Duong and Benjamin D. Solomon effectively outlines the current state, highlighting the rapid acceleration of AI-driven applications across diagnostics, management, and clinical support in clinical genetics [1].
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