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Free Download Digital Management and Artificial Intelligence English | 2025 | ISBN: 303188051X | 630 Pages | PDF (True) | 43 MB This book presents selected contributions from the Fourth International Scientific-Practical Conference (ISPC2024), held on October 10-11, 2024, organized by IU International University, East European University, Adelphi University, and the E-Commerce Institute, with contributions from Asia, Africa, Europe, and the USA. It discusses the challenges and opportunities of digital transformation and AI in different industries and introduces advanced research and solutions from both academic and professional perspectives. The topics covered include artificial intelligence, digitalization in healthcare, legal systems, corporate responsibility, e-commerce, digital entrepreneurship, and digital transformation in education. One key topic is social commerce, including live shopping, as a blend of social media and e-commerce. 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Free Download Digital Leadership: Kompetenzentwicklung von Führungskräften und Mitarbeitenden als zentraler Erfolgsfaktor transformativer Unternehmensberatung Deutsch | 2025 | ISBN: 3662703211 | 232 Pages | PDF (True) | 6.5 MB  Free Download Digital HR by Gupta, Deepa;Gupta, Mukul;Balusamy, Balamurugan;Dhanaraj, Rajesh Kumar;Gupta, Parth Mukul;, Gupta, Mukul, Balusamy, Balamurugan, Kumar Dhanaraj, Rajesh, Mukul Gupta, Parth English | 2025 | ISBN: 1032619627 | 228 pages | True EPUB | 7.76 MB  Free Download Digital Ethics in the Age of AI: Navigating the ethical frontier today and beyond by Julie Mehan English | December 12, 2024 | ISBN: 1787785491 | 266 pages | EPUB | 8.50 Mb In an era characterised by the remarkable growth of AI, there emerges a profound ethical dimension that demands our attention. 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These new measurements, performed by employing generalised magnetic field gradient waveforms, grant access to specific features of the cellular composition and structural organisation of the tissue. Methods based on them have already proven beneficial for the assessment of different brain diseases, sparking interest in translating such techniques into clinical practice. This thesis focuses on improving the methods currently employed for the analysis of such diffusion MRI data, with the aim of facilitating their clinical adoption. |
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