Gale Researcher Guide for: Ancient China's Cultural and Intellectual Achievements


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Gale Researcher Guide for: Ancient China's Cultural and Intellectual Achievements is selected from Gale's academic platform Gale Researcher. These study guides provide peer-reviewed articles that allow students early success in finding scholarly materials and to gain the confidence and vocabulary needed to pursue deeper research.




GALE RESEARCHER GUIDE FOR


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Bibliotheca Americana


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Autonomous Vehicle Technology


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The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.




The Great Ming Code / Da Ming lu


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Imperial China’s dynastic legal codes provide a wealth of information for historians, social scientists, and scholars of comparative law and of literary, cultural, and legal history. Until now, only the Tang (618–907 C.E.) and Qing (1644–1911 C.E.) codes have been available in English translation. The present book is the first English translation of The Great Ming Code (Da Ming lu), which reached its final form in 1397. The translation is preceded by an introductory essay that places the Code in historical context, explores its codification process, and examines its structure and contents. A glossary of Chinese terms is also provided. One of the most important law codes in Chinese history, The Great Ming Code represents a break with the past, following the alien-ruled Yuan (Mongol) dynasty, and the flourishing of culture under the Ming, the last great Han-ruled dynasty. It was also a model for the Qing code, which followed it, and is a fundamental source for understanding Chinese society and culture. The Code regulated all the perceived major aspects of social affairs, aiming at the harmony of political, economic, military, familial, ritual, international, and legal relations in the empire and cosmic relations in the universe. The all-encompassing nature of the Code makes it an encyclopedic document, providing rich materials on Ming history. Because of the pervasiveness of legal proceedings in the culture generally, the Code has relevance far beyond the specialized realm of Chinese legal studies. The basic value system and social norms that the Code imposed became so thoroughly ingrained in Chinese society that the Manchus, who conquered China and established the Qing dynasty, chose to continue the Code in force with only minor changes. The Code made a considerable impact on the legal cultures of other East Asian countries: Yi dynasty Korea, Le dynasty Vietnam, and late Tokugawa and early Meiji Japan. Examining why and how some rules in the Code were adopted and others rejected in these countries will certainly enhance our understanding of the shared culture and indigenous identities in East Asia.




Explorers and Discoverers of the World


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Presents 322 men and women whose journeys shaped the modern world.




Ask a Manager


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From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together




Artificial Intelligence in Healthcare


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Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data