Under the impact of various uncertainties, the potential operation risk of the distribution network is gradually gaining more and more attention in both security and economy. To comprehensively ...determine the risk level, an operational risk assessment method considering multiple risk factors is proposed. Firstly, probabilistic models are established including temporal distributions of electric vehicles and uncertainties of renewable energy. Secondly, a time-sequential security risk assessment method with several security indicators including overvoltage risk, undervoltage risk, line-overload risk and load-loss risk is established using probabilistic load flow and dynamical sensitivity weight analysis method. Thirdly, conditional value at risk model is presented for time-varying economic risk considering line-loss risk and operational profit or loss risk of distributed generations. Finally, a risk early warning standard is proposed to realise the visualisation of risk warning by defining the risk level and risk area. Simulations of different scenarios are conducted on the modified IEEE 34-bus radial test system and the results reveal that the proposed strategy is effective and practical.
This innovative ethnographic study animates the racial politics that underlie genomic research into type 2 diabetes, one of the most widespread chronic diseases and one that affects ethnic groups ...disproportionately. Michael J. Montoya follows blood donations from "Mexican-American" donors to laboratories that are searching out genetic contributions to diabetes. His analysis lays bare the politics and ethics of the research process, addressing the implicit contradiction of undertaking genetic research that reinscribes race's importance even as it is being demonstrated to have little scientific validity. In placing DNA sampling, processing, data set sharing, and carefully crafted science into a broader social context, Making the Mexican Diabetic underscores the implications of geneticizing disease while illuminating the significance of type 2 diabetes research in American life.
Between 1965 and 1987, the cesarean section rate in the United States rose precipitously—from 4.5 percent to 25 percent of births. By 2009, one in three births was by cesarean, a far higher number ...than the 5–10% rate that the World Health Organization suggests is optimal. While physicians largely avoided cesareans through the mid-twentieth century, by the early twenty-first century, cesarean section was the most commonly performed surgery in the country. Although the procedure can be life-saving, how—and why—did it become so ubiquitous?
Cesarean Section is the first book to chronicle this history. In exploring the creation of the complex social, cultural, economic, and medical factors leading to the surgery’s increase, Jacqueline H. Wolf describes obstetricians’ reliance on assorted medical technologies that weakened the skills they had traditionally employed to foster vaginal birth. She also reflects on an unsettling malpractice climate—prompted in part by a raft of dubious diagnoses—that helped to legitimize “defensive medicine,” and a health care system that ensured cesarean birth would be more lucrative than vaginal birth. In exaggerating the risks of vaginal birth, doctors and patients alike came to view cesareans as normal and, increasingly, as essential. Sweeping change in women’s lives beginning in the 1970s cemented this markedly different approach to childbirth.
Wolf examines the public health effects of a high cesarean rate and explains how the language of reproductive choice has been used to discourage debate about cesareans and the risks associated with the surgery. Drawing on data from nineteenth- and early twentieth-century obstetric logs to better represent the experience of cesarean surgery for women of all classes and races, as well as interviews with obstetricians who have performed cesareans and women who have given birth by cesarean, Cesarean Section is the definitive history of the use of this surgical procedure and its effects on women’s and children’s health in the United States.
Maintaining a balance between managing and assessing risk and upholding the required high standards of practice in health and social care can be demanding, particularly in the current climate of ...increased preoccupation with the difficult tensions between rights, protection and risk-taking. Good Practice in Assessing Risk is a comprehensive guide to good practice for those working with risk, covering a wide variety of health, social care and criminal justice settings including child protection, mental health, work with sex offenders and work with victims of domestic violence. The contributors discuss a range of key issues relating to risk including positive risk-taking, collaborating with victims and practitioners in the design of assessment tools, resilience to risk, and defensibility. The book also explores the role of bureaucracy in hindering high quality professional practice, complex decision-making in situations of stress or potential blame, and involving service users in assessment. This book reflects the latest policy and practice within health, social care and criminal justice and will be an invaluable volume to all professionals working in these fields.
Integrated in this book are contributions from leading scientists who have each studied children's adjustment across risks common in contemporary society. Chapters in the first half of the book focus ...on risks emanating from the family; chapters in the second half focus on risks stemming from the wider community. All contributors have explicitly addressed a common set of core themes, including the criteria they used to judge 'resilience' within particular risk settings, the major factors that predict resilience in these settings; the limits to resilience (vulnerabilities coexisting with manifest success); and directions for interventions. In the concluding chapter, the editor integrates evidence presented through all preceding chapters to distill (a) substantive considerations for future research, and (b) salient directions for interventions and social policies, based on accumulated research knowledge.
Several drugs used in the treatment of mental diseases are associated with an increased risk of sudden cardiac death (SCD). A general cause-relationship between the intake of these drugs and SCD is ...unattainable, but numerous case reports of drug-induced malignant arrhythmia and epidemiological studies, associating the use of specific drugs with SCD, strongly support the presence of an increased risk. Whereas the absolute risk of drug-induced life-threatening arrhythmia may be relatively low, even small increments in risk of SCD may have a major health impact considering that millions of patients are treated with psychotropics. In subgroups of pre-disposed patients, e.g. patients with cardiac diseases or other co-morbidities, the elderly or patients treated with other negatively interacting drugs, the absolute risk of drug-induced arrhythmia may be considerable. On the other hand, several of the major mental disorders are associated with a large risk of suicide if untreated. The observed risk of malignant arrhythmia associated with treatment with psychotropic drugs calls for clinical guidelines integrating the risk of the individual drug and other potentially interacting risk factors. In this review, data from various authorities on the risk of arrhythmia associated with psychotropic medications were weighted and categorized into three risk categories. Additionally, we suggest a clinically applicable algorithm to reduce the risk of malignant arrhythmia in patients to be treated with psychotropic medications. The algorithm integrates the risk categories of the individual drugs and pre-disposing risk factors and suggests a prudent follow-up for patients with an increased risk. We believe this clinically manageable guideline might improve safety in the many and rapidly increasing number of patients on psychotropic drugs.
This book updates and advances the theory of expected utility as applied to risk analysis and financial decision making. Von Neumann and Morgenstern pioneered the use of expected utility theory in ...the 1940s, but most utility functions used in financial management are still relatively simplistic and assume a mean-variance world. Taking into account recent advances in the economics of risk and uncertainty, this book focuses on richer applications of expected utility in finance, macroeconomics, and environmental economics. The book covers these topics: expected utility theory and related concepts; the standard portfolio problem of choice under uncertainty involving two different assets; P the basic hyperplane separation theorem and log-supermodular functions as technical tools for solving various decision-making problems under uncertainty; s choice involving multiple risks; the Arrow-Debreu portfolio problem; consumption and saving; the equilibrium price of risk and time in an Arrow-Debreu economy; and dynamic models of decision making when a flow of information on future risks is expected over time. The book is appropriate for both students and professionals. Concepts are presented intuitively as well as formally, and the theory is balanced by empirical considerations. Each chapter concludes with a problem set.
Twenty interesting studies on, among others, risks towards firm performance, financial risk and financial uncertainties, risk consequences for European countries’ businesses and economies from the ...Russia and Ukraine conflict, the effects of adopting enterprise risk management on the performance and risks of European publicly listed insurance firms, the management of financial risks while performing international commercial transactions, market liquidity and its dimensions, benchmarking as a way of finding risk factors in business performance, the effect of risk disclosure for trade credit, risk perception, accounting, and resilience in public sector organizations, and psychological effects from potential unexpected environmental disasters on investors. Although disasters are associated with risk, investors tend to have a different perspective depending on the source of the disaster. More specifically, if a country is facing a natural disaster, where no one can be blamed, the foreign investors who may hold a country’s bonds will continue to trust the country due to the “innocence” of the country. On the other hand, when a firm causes a technological disaster, such as a nuclear power plant explosion, investors, if this corporation is publicly traded, will “punish” the firm by selling its shares at any price to avoid a bigger loss.