苏联解体的原因与后果

1991年12月8日俄罗斯领导人Б.Н.叶利钦、乌克兰领导人Л.М.克拉夫丘克和白俄罗斯领导人С.С.舒什克维奇签署了别洛韦日协议,导致了苏联的解体;苏联解体是20世纪世界史上最重大的历史事件之一,这大概是大多数历史学家和政治学家对此的一致评价,而其他所有有关苏联解体的原因、后果等问题则一直是激烈争论的对象。     

Ethics and the Physician-Patient Relationship

Book Reviews in This Article:
Getting Rid of Patients: Contradictions in the Socialization of Physicians . By Terry Mizrahi
Physicians and Social Change . By John Colombotos and Corinne Kirchner
Changing Values in Medicine . Edited by Eric J. Cassell and Mark Siegler
Professional Ethics and Primary Care Medicine: Beyond Dilemmas and Decorum . By Harmon L. Smith and Larry R. Churchill
Physician—Patient Decision-Making: A Study in Medical Ethics . By Douglas N. Walton
With Dignity: The Search for Medicare and Medicaid . By Sheri I. David
The Dismissal of Students with Mental Disorders. Legal Issues, Policy Considerations, and Alternative Responses .
Courtroom Toxicology . By Marshall Houts, Randall C. Baselt, and Robert H. Cravey     

The Influence of Advisers and Decision Strategies on Foreign Policy Choices: President Clinton's Decision to Use Force in Kosovo

In the following paper, I analyze the influence of advisers and domestic political factors on President Clinton's decision to use force against Slobodan Milosevic and the Serbs in Kosovo in March 1999. I present an analysis and examination of President Clinton's decision-making process, using press reports, personal speeches, etc. In other words, I attempt to trace the process by which Clinton came to the decision to use force in Yugoslavia. Specifically, using the poliheuristic theory, I argue that President Clinton's decision was influenced by noncompensatory domestic political calculations and the strong influence of his Secretary of State, Madeleine K. Albright. Examining how advisers interact with one another, their status in the advisory group, and the manner in which presidents solicit information from advisers will further our understanding of how, when, and under what conditions national security-level decision makers make decisions.     

A Test of Generalizability of the Social Development Model Across Gender and Income Groups with Longitudinal Data from the Elementary School Developmental Period

The social development model (SDM) is a theory of behavior that has proven useful in explaining the etiology of delinquency, violence, and substance use among adolescents as well as early antisocial behavior among pre-adolescents. A further test of the model is its generalizability across population groups. A section of the SDM representing prosocial influences in the etiology of problem behavior was compared for boys and girls and for children from low- and non low-income families using three waves of child, parent and teacher survey data on a sample of 851 elementary school students. Multiple group structural equation modeling was used to assess differences across groups in both measurement of model constructs and hypothesized structural paths between constructs. The results indicate overall similarity in the reliability of measurement models and validity of structural models.     

Inmates: Who occupies our jails?

The purpose of this investigation was to identify inmate personal and demographic data that may be used to further define or profile persons with a greater likelihood of being at risk for serving a jail sentence. This study was explorative. The survey administration was similar in format to that conducted by the U.S. Department of Justice. Chaplains were used as survey proctors. Pilot studies were conducted to determine the suitability of survey content. Surveys consisted of 172 items. Subjects included four hundred inmates: males comprised 88.75 percent of the sample, Caucasians 58.25 percent, Blacks 37 percent, Hispanics 3.25 percent and other 1.5 percent of the sample. Respondents ranged in age from 15 to 64 years with an average age of 30.3 years. Less than two percent of the contacted inmates refused participation in the survey. Results are presented for demographic data, select legal/criminal data, select drug and alcohol use data, employment data, health, parent/family data, education data, social data, and “other”.