A Qualitative Case Study on Recovery and Personal Growth in Korean Drug Addicts

ABSTRACT

In recent years, crimes related to drug smuggling and production have gradually increased in Korea. This qualitative case study explores the experiences of Koreans recovering from drug addiction and identifies specific details and mechanisms of recovery. For this purpose, participants were selected based on criteria such as engaging in social activities after recovery from addiction for 3 years or more. Next, one-on-one in-depth interviews were conducted with five voluntarily consenting participants. Data were analyzed using the within-/cross-case analysis suggested by Creswell. Substantial personal growth took place in the recovery process for drug addicts. Nineteen themes were identified as manifestations of personal growth through within-case analysis. Four common themes were then derived through cross-case analysis. These four common themes were “reconnection with reality,” “embracing the essence of one's own existence,” “reconstructing oneself in social relations,” and “self-love.” The study's results suggest that a recovery program needs to be developed wherein the program not only enables drug addicts to reflect on their current existence but also allows them to develop their specific coping skills. Future research should be broadened to consider the social support mechanism and viewpoints of people including family and local community members in close contact with drug addicts.     

论善意取得制度

善意取得制度作为民事法律中的一项重要制度,对维护交易安全、社会经济秩序的稳定起着积极的作用。我国《民法通则》中没有对善意取得制度做出详细规定,仅在最高人民法院《关于贯彻执行〈中华人民共和国民法通则〉若干问题的意见(试行)》的第89条对涉及该制度在司法实践中的运用做出了司法解释。但在现实生活中,存在很多复杂情况,仅凭这一司法解释是难以满足社会需要的,在物权法即将出台之际,笔者提出了对善意取得制度的粗浅理解。     

试析高等学校固定资产的内部控制体系

加强固定资产管理,防止固定资产流失,提高固定资产的使用效率,从而节约资金,是每个高校固定资产管理的目标。从固定资产的内部控制入手,分析了内部控制在固定资产管理中的重要作用,固定资产内部控制所要达到的目标,以及内部控制的措施和手段,并从九个方面构建了固定资产内部控制的管理模式。     

Determining the Number of Factors in Approximate Factor Models

In this paper we develop some econometric theory for factor models of large dimensions. The focus is the determination of the number of factors (r), which is an unresolved issue in the rapidly growing literature on multifactor models. We first establish the convergence rate for the factor estimates that will allow for consistent estimation of r. We then propose some panel criteria and show that the number of factors can be consistently estimated using the criteria. The theory is developed under the framework of large cross‐sections (N) and large time dimensions (T). No restriction is imposed on the relation between N and T. Simulations show that the proposed criteria have good finite sample properties in many configurations of the panel data encountered in practice.     

Ambiguity,Risk, and Asset Returns in Continuous Time

Models of utility in stochastic continuous–time settings typically assume that beliefs are represented by a probability measure, hence ruling out a priori any concern with ambiguity. This paper formulates a continuous–time intertemporal version of multiple–priors utility, where aversion to ambiguity is admissible. In a representative agent asset market setting, the model delivers restrictions on excess returns that admit interpretations reflecting a premium for risk and a separate premium for ambiguity.     

资产证券化在金融资产管理公司的运用研究

通过对资产证券化的含义 ,及其在金融资产管理公司不良资产资产处置业务中运用的可行性、操作模式 ,存在的问题等研究 ,对作为金融资产管理公司业务范围之一的资产证券化业务 ,从理论和实践两方面进一步进行剖析 ,为金融资产管理公司的实际工作提供建议和启发。     

基于流通基本方程的人民币研究

本文在一些假设的基础上推导出了我国货币流通的基本方程,并结合我国的当前实际情况,描述我国的人民币市场。     

Remove unwanted variation retrieves unknown experimental designs

Remove unwanted variation (RUV) is an estimation and normalization system in which the underlying correlation structure of a multivariate dataset is estimated from negative control measurements, typically gene expression values, which are assumed to stay constant across experimental conditions. In this paper we derive the weight matrix which is estimated and incorporated into the generalized least squares estimates of RUV-inverse, and show that this weight matrix estimates the average covariance matrix across negative control measurements. RUV-inverse can thus be viewed as an estimation method adjusting for an unknown experimental design. We show that for a balanced incomplete block design (BIBD), RUV-inverse recovers intra- and interblock estimates of the relevant parameters and combines them as a weighted sum just like the best linear unbiased estimator (BLUE), except that the weights are globally estimated from the negative control measurements instead of being individually optimized to each measurement as in the classical, single measurement BIBD BLUE.     

GMM with Weak Identification

This paper develops asymptotic distribution theory for GMM estimators and test statistics when some or all of the parameters are weakly identified. General results are obtained and are specialized to two important cases: linear instrumental variables regression and Euler equations estimation of the CCAPM. Numerical results for the CCAPM demonstrate that weak‐identification asymptotics explains the breakdown of conventional GMM procedures documented in previous Monte Carlo studies. Confidence sets immune to weak identification are proposed. We use these results to inform an empirical investigation of various CCAPM specifications; the substantive conclusions reached differ from those obtained using conventional methods.     

Challenges of social workers' involvement in the recovery of the 5.12 Wenchuan Earthquake in China

This article explores the challenges of social workers' involvement in recovery work of the 5.12 Wenchuan Earthquake (12 May 2008). Six social workers working in three social work stations in Sichuan, China, were asked to report the challenges they faced in working with disaster survivors. Findings reveal that the social workers faced many challenges. These include lack of government support, low professional status of social work, rapid changes in the social environment in disaster‐affected areas, lack of supervision, lack of cooperation and coordination among social service agencies, and lack of experience and knowledge in working with disaster survivors. The practical, educational and policy implications of the findings are addressed.