A Multi-Dimensional Conceptual Framework for Trauma-Informed Practice in Addictions Programming

Previous research has conceptualized trauma-informed practice in relation to five key values: safety, trust, choice, collaboration, and empowerment. This research identifies key organizational, programmatic, and interpersonal characteristics in community-based residential addictions treatment programming that exemplify each of these principles. Utilizing qualitative research methods, involving open-ended, one to one interviews with clients in residential substance misuse treatment (n = 41), respondents identified the importance of experiencing “safety” in relation to physical safety, confidentiality, reassurance, rule enforcement, and peer relationships. “Trust” was manifested in sharing, staff availability, nonjudgmental interactions, positive relationship dynamics, and caring. “Choice” was articulated in relation to individual needs, participation, opportunities, and focus of efforts. “Collaboration” was characterized in relation to opportunities for feedback, planning, goal setting, specificity, and support. Finally, “empowerment” was characterized by comfort in sharing, trigger management, trauma awareness, and understanding. The findings provide a conceptual framework for a trauma-informed social services organizational practice environment. Findings can inform adaptations to social service delivery processes and programs to become aligned with the values of trauma-informed practice. Future research can build on this framework by testing the study findings with quantitative methods along with replicating current methods in other social service delivery sectors.     

一个基于异步CSCW的工作流管理系统

阐明了基于异步ＣＳＣＷ（计算机支持的协同工作）的工作流管理系统的重要性，提出了基于异步ＣＳＣＷ的工作流控制机制的软件结构，并对系统具体实现和关键技术作了分析。     

Practical Maximum Pseudolikelihood for Spatial Point Patterns(with Discussion)

This paper describes a technique for computing approximate maximum pseudolikelihood estimates of the parameters of a spatial point process. The method is an extension of Berman & Turner's (1992) device for maximizing the likelihoods of inhomogeneous spatial Poisson processes. For a very wide class of spatial point process models the likelihood is intractable, while the pseudolikelihood is known explicitly, except for the computation of an integral over the sampling region. Approximation of this integral by a finite sum in a special way yields an approximate pseudolikelihood which is formally equivalent to the (weighted) likelihood of a loglinear model with Poisson responses. This can be maximized using standard statistical software for generalized linear or additive models, provided the conditional intensity of the process takes an 'exponential family' form. Using this approach a wide variety of spatial point process models of Gibbs type can be fitted rapidly, incorporating spatial trends, interaction between points, dependence on spatial covariates, and mark information.     

A unified approach to regression analysis under double-sampling designs

We propose a unified approach to the estimation of regression parameters under double-sampling designs, in which a primary sample consisting of data on the rough or proxy measures for the response and/or explanatory variables as well as a validation subsample consisting of data on the exact measurements are available. We assume that the validation sample is a simple random subsample from the primary sample. Our proposal utilizes a specific parametric model to extract the partial information contained in the primary sample. The resulting estimator is consistent even if such a model is misspecified, and it achieves higher asymptotic efficiency than the estimator based only on the validation data. Specific cases are discussed to illustrate the application of the estimator proposed.     

基于PCA商业银行经济效益评价研究

多年以来，提高商业银行的经济效益一直都是中国政府、银行监管部门关注的焦点，也始终是中国金融问题得以解决的核心。文章阐述了经济效益的概念，并进一步提出商业银行经济效益的涵义，建立商业银行经济效益评价指标体系，运用主成分分析模型得出商业银行经济效益的评价结果并进行了相应地分析。     

What it means to be a ‘model minority’: voices of ethnic Koreans in Northeast China

Ethnic Koreans in China have been widely recognized as a ‘model minority’ primarily for academic success. Using the data collected as part of a larger ethnographic research on Korean elementary school students, this paper examines how 27 Korean families construct meaning out of the model minority stereotype in the context of their lived experience in Northeast China. Research results indicate that Koreans constructed the multi-faceted nature of ‘model minority’ as a matter of cultural superiority and dual economic marginalization in the Chinese and South Korean mainstream societies, and valued education as a practical means to achieve economic upward mobility into the Chinese mainstream. This paper argues that the model minority stereotype with the cultural explanations for Korean success may reinforce the cultural deficiency argument about the academic failure of ‘backward’ minorities, silence the disadvantages suffered by Koreans in China's reform period and lead to no active intervention to remedy them.     

论日本经济周期变动中的财政政策责任

财政政策作为宏观经济政策体系中的一个重要内容,在战后日本经济增长中发挥了积极作用。而财政政策的中心目标,就是在高水平的就业基础上,保持经济稳定和稳步提高生产率,以在可用资源约束下实现最大化经济增长。文章以理论研究为主,以泡沫经济博奕现象分析为出发点,深入研究日本财政政策选择的最优次序和数量财政政策向质量财政政策转移问题,指出只有实行“质量扩张”财政政策才是经济稳定发展的必由之路。     

高校物业管理模式探讨

高校的物业管理制度的改革是高校后勤社会化改革的重要内容之一 ,也是后勤改革成败的关键因素。目前情况下 ,高校物业管理有三种模式可供选择 :自我管理模式、联合管理模式、社会化管理模式     

民族共生理论:散杂居民族关系及目标范示研究

本文以生物学中的共生理论为参照,基于生物共生理论的理念范畴和分析方法,结合生物共生理论在其他领域的研究成果,重点考察了我国散杂居民族的共生关系,并提供了民族共生目标范式以及实现途径.     

The Value of Weather Information for E‐Commerce Operations

To be efficient, logistics operations in e‐commerce require warehousing and transportation resources to be aligned with sales. Customer orders must be fulfilled with short lead times to ensure high customer satisfaction, and the costly under‐utilization of workers must be avoided. To approach this ideal, forecasting order quantities with high accuracy is essential. Many drivers of online sales, including seasonality, special promotions and public holidays, are well known, and they have been frequently incorporated into forecasting approaches. However, the impact of weather on e‐commerce operations has not been rigorously analyzed. In this study, we integrate weather data into the sales forecasting of the largest European online fashion retailer. We find that sunshine, temperature, and rain have a significant impact on daily sales, particularly in the summer, on weekends, and on days with extreme weather. Using weather forecasts, we have significantly improved sales forecast accuracy. We find that including weather data in the sales forecast model can lead to fewer sales forecast errors, reducing them by, on average, 8.6% to 12.2% and up to 50.6% on summer weekends. In turn, the improvement in sales forecast accuracy has a measurable impact on logistics and warehousing operations. We quantify the value of incorporating weather forecasts in the planning process for the order fulfillment center workforce and show how their incorporation can be leveraged to reduce costs and increase performance. With a perfect information planning scenario, excess costs can be reduced by 11.6% compared with the cost reduction attainable with a baseline model that ignores weather information in workforce planning.