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In 1985, Yuri B. Shvets, an idealistic young KGB officer, reported to the Soviet embassy in Wash., DC. His mission: to try to recruit Americans with access to important political offices. Under cover as a reporter for TASS, the Soviet news agency, he recruited a journalist & former White House advisor -- code-named "Socrates." This is a riveting account of his experiences spying against the U.S. & details the daily activities of Soviet spies in D.C., including the games of cat & mouse between KGB officers & FBI agents. Paints a devastating portrait of the KGB in the final years of the USSR, when it & the Soviet Union were collapsing.
This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss.
This is an open access book. With the support of universities and the research of AEIC Academic Exchange Center, The 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022) will be held in Dali from June 24th to 26th. Compared with previous conferences, it will discuss more in-depth economic independent innovation, open cooperation and innovative business culture under the background of the new development stage, new situation and new journey era. There will be a broad exchange environment. Well-known experts, scholars or entrepreneurs in the field will be invited to make keynote reports. Contributing authors are also very welcome to actively participate in the conference and build an academic exchange ceremony.
**THE INSTANT NEW YORK TIMES BESTSELLER** Kompromat n.—Russian for "compromising information" This is a story about the dirty secrets of the most powerful people in the world—including Donald Trump. It is based on exclusive interviews with dozens of high-level sources—intelligence officers in the CIA, FBI, and the KGB, thousands of pages of FBI investigations, police investigations, and news articles in English, Russian, and Ukrainian. American Kompromat shows that from Trump to Jeffrey Epstein, kompromat was used in operations far more sinister than the public could ever imagine. Among them, the book addresses what may be the single most important unanswered question of the entire Tru...
The 2nd International Conference on Mathematical Statistics and Economic Analysis (MSEA 2023) was held virtually from 26-28 May 2023 in Nanjing, China. The conference was attended by researchers, teachers, students and engineers in the field of mathematical statistics and economic analysis. Through data statistics and analysis, we can quickly understand the pattern of economic development. This conference combines mathematical statistics and economic analysis, explores the relationship between the two, and provides a platform for experts and scholars in the fields of mathematical statistics and economic analysis to discuss related issues and exchange ideas. Therefore, we hope to create a forum for sharing research results and exploring future research directions, so that participants can learn about the latest research directions, contents and results of mathematical statistics and economic analysis; secondly, we hope that the conference can provide solutions to the major problems facing mathematical statistics and economic analysis, and create a space that encourages discussion and joint development of research, technological development and innovation.
The Healthcare industry is one of the largest and rapidly developing industries. Over the last few years, healthcare management is changing from disease centered to patient centered. While on one side the analysis of healthcare data plays an important role in healthcare management, but on the other side the privacy of a patient’s record must be of equal concern. This book uses a research-oriented approach and focuses on privacy-based healthcare tools and technologies. It offers details on privacy laws with real-life case studies and examples, and addresses privacy issues in newer technologies such as Cloud, Big Data, and IoT. It discusses the e-health system and preserving its privacy, and the use of wearable technologies for patient monitoring, data streaming and sharing, and use of data analysis to provide various health services. This book is written for research scholars, academicians working in healthcare and data privacy domains, as well as researchers involved with healthcare law, and those working at facilities in security and privacy domains. Students and industry professionals, as well as medical practitioners might also find this book of interest.
This book redefines the essence of the information society and the digital economy, offering a new approach to their management and organization based on big data. The novelty of the new approach is that it ensures the use of the advanced technological capabilities of the Fourth Industrial Revolution to accelerate socio-economic development. The success of the new approach is based on progressive social institutions and advanced big data technology. Theoretical issues, methodological developments, and the author’s applied recommendations are consistently presented in forty chapters distributed in five sections. The book contains cases that reveal the practical experience of the Eurasian Economic Union (EAEU). The intended readership of the book is scientists. The book is interesting and useful for them because it presents an innovative model of information society and digital economy development driven by big data.
Proceedings of the 2nd International Conference on Big Data Economy and Digital Management (BDEDM 2023) supported by University Malaysia Sabah, Malaysia, held on 6th–8th January 2023 in Changsha, China (virtual conference). The immediate purpose of this Conference was to bring together experienced as well as young scientists who are interested in working actively on various aspects of Big Data Economy and Digital Management. The keynote speeches addressed major theoretical issues, current and forthcoming observational data as well as upcoming ideas in both theoretical and observational sectors. Keeping in mind the “academic exchange first” approach, the lectures were arranged in such a way that the young researchers had ample scope to interact with the stalwarts who are internationally leading experts in their respective fields of research. The major topics covered in the Conference are: Big Data in Enterprise Performance Management, Enterprise Management Modernization, Intelligent Management System, Performance Evaluation and Modeling Applications, Enterprise Technology Innovation, etc.