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Hedge Fund Activism begins with a brief outline of the research literature and describes datasets on hedge fund activism.
Cancer has become a leading cause of death and disability and a serious yet unforeseen challenge to health systems in low-and middle-income countries. A protracted and polarized cancer transition is under way and fuels a concentration of preventable risk, illness, suffering, impoverishment from ill health, and death among poor populations. Closing this cancer divide is an equity imperative. The world faces a huge, unperceived cost of failure to take action that requires an immediate and large-scale global response. Closing the Cancer Divide presents strategies for innovation in delivery, pricing, procurement, finance, knowledge-building, and leadership that can be scaled up by applying a diagonal approach to health system strengthening. The chapters provide evidence-based recommendations for developing programs, local and global policy-making, and prioritizing research. The cases and frameworks provide a guide for developing responses to the challenge of cancer and other chronic illnesses. The book summarizes results of the Global Task Force on Expanding Access to Cancer Care and Control in Developing Countries, a collaboration among leaders from the global health and cancer care communities worldwide, originally convened by Harvard University. It includes contributions from civil society, global and national policy-makers, patients and practitioners, and academics representing an array of fields.
This work comprises the proceedings of a conference held last year in Rhodes, Greece, to assess developments during the last 20 years in the field of nonlinear dynamics in geosciences. The volume has its own authority as part of the Aegean Conferences cycle, but it also brings together the most up-to-date research from the atmospheric sciences, hydrology, geology, and other areas of geosciences, and discusses the advances made and the future directions of nonlinear dynamics.
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1989.
Ît then rigorously analyses each model in the tradition of microeconomic theory, leading to a richer, more realistic picture of consumer behavior. Ran Spiegler analyses phenomena such as exploitative price plans in the credit market, complexity of financial products and other obfuscation practices, consumer antagonism to unexpected price increases, and the role of default options in consumer decision making. Spiegler unifies the relevant literature into three main strands: limited ability to anticipate and control future choices, limited ability to understand complex market environments, and sensitivity to reference points. Although the challenge of enriching the psychology of decision makers in economic models has been at the frontier of theoretical research in the last decade, there has been no graduate-level, theory-oriented textbook to cover developments in the last 10-15 years.
This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4–5 September 2020. The book addresses the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like data-driven industrial IoT, bioinformatics, network and security, autonomous computing and various other aligned areas. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber-physical system and smart agriculture. All papers have been carefully reviewed. The book is of interest to computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
Malaysia, a country of approximately 16 million people which gained independence in 1957, relied heavily on trade to achieve substantial growth in GNP during the 1960s (6.7 percent per year) and 1970s (10.5 percent per year). In the period 1980-83, however, the rate slipped to 3.1% per year. Malaysia's traditional exports are natural rubber and palm oil, but in the 1970s the country also became an important exporter of crude oil. During the study period (1960-83), government intervention through the taxation of natural rubber and palm oil has made the cultivation of these two products less profitable for farmers while also reducing foreign exchange earnings. In contrast to its policies for natural rubber and palm oil, Malaysia steadily intervened in the price of rice during the study period to improve producer prices. Direct intervention in rice prices has taken the form of a guaranteed minimum price which was raised substantially in the late 1970s. Agricultural pricing policies in Malaysia have been remarkably stable over time. In return, the Malay paddy farmers have faithfully supported the moderate Malay political parties, hence, keeping the pro-development political coalition in power throughout this period.
Drug discovery increasingly requires a common understanding by researchers of the many and diverse factors that go into the making of new medicines. The scientist entering the field will immediately face important issues for which his education may not have prepared him: project teams, patent law, consultants, target product profiles, industry trends, Gantt charts, target validation, pharmacokinetics, proteomics, phenotype assays, biomarkers, and many other unfamiliar topics for which a basic understanding must somehow be obtained. Even the more experienced scientist can find it frustratingly difficult to get an overview of the many factors involved in modern drug discovery and often only after years of exploring does a whole and integrated picture emerge in the mind of the researcher.Real World Drug Discovery: A Chemist's Guide to Biotech and Pharmaceutical Research presents this kind of map of the landscape of drug discovery. In a single, readable volume it outlines processes and explains essential concepts and terms for the recent science graduate wondering what to expect in pharma or biotech, the medicinal chemist seeking a broader and more timely understanding of the industry, or the contractor or collaborator whose understanding of the commercial drug discovery process could increase the value of his contribution to it. - Interviews with well-known experts in many of the fields involved, giving insightful comments from authorities on many of the sub-disciplines important to cutting edge drug discovery. - Helpful suggestions gleaned from years of experience in biotech and pharma, which represents a repository drug discovery "lore" not previously available in any book. - "Periodic Table of Drugs" listing current top-selling drugs arranged by target and laid out so that structural similarities and differences are plain and clear. - Extensive use of diagrams to illustrate concepts like biotech startup models, preteomic profiling for target identification, Gantt charts for project planning, etc.