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The Handbook of Organic Analytical Reagents, 2nd Edition, is an indispensable source book of physico-chemical properties, preparation, and analytical applications of the most commonly used organic reagents. Updated from the 1st Edition, this volume includes data on 40 new reagents (such as ultra-high sensitive azo dyes, fluorescent calcium indicators, and chromogenic crown ethers and porphyrin reagents), a new Reagent Index listing reagents according to the elements to be assayed, and completely updated references. Each entry contains information on synonyms, sources and methods of synthesis, analytical applications, complexation reactions and the properties of complexes, purification and purity of the reagent, and other regeants with a related structure. The Handbook of Organic Analytical Reagents, 2nd Edition, is an invaluable bench-side reference for professional analytical chemists and graduate students.
The Handbook of Organic Analytical Reagents, 2nd Edition, is an indispensable source book of physico-chemical properties, preparation, and analytical applications of the most commonly used organic reagents. Updated from the 1st Edition, this volume includes data on 40 new reagents (such as ultra-high sensitive azo dyes, fluorescent calcium indicators, and chromogenic crown ethers and porphyrin reagents), a new Reagent Index listing reagents according to the elements to be assayed, and completely updated references.
In the current era, people and society have grown increasingly reliant on artificial intelligence (AI) technologies. AI has the potential to drive us towards a future in which all of humanity flourishes. It also comes with substantial risks for oppression and calamity. In response, researchers and organizations have been working to publish principles and develop AI regulations for the responsible use of AI in consequential application domains. However, these theoretically formulated principles and regulations also need to be turned into actionable algorithms to materialize AI for good.This book introduces a unified perspective of Socially Responsible AI to help bridge conceptual AI principles to responsible AI practice. It begins with an interdisciplinary definition of socially responsible AI and the AI responsibility pyramid. Existing efforts seeking to materialize the mainstream responsible AI principles are then presented. The book also discusses how to leverage advanced AI techniques to address the challenging societal issues through Protecting, Informing, and Preventing, and concludes with open problems and challenges.This book serves as a convenient entry point for researchers, practitioners, and students to understand the problems and challenges of socially responsible AI, and to identify how their areas of expertise can contribute to making AI socially responsible.
How can countries develop their ports to become gateways for economic prosperity? Despite being endowed with natural coastlines, many countries in Africa and Asia have struggled to translate this competitive advantage into vehicles for economic transformation. What China achieved can be informative.
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