Using Technology to Facilitate Collaboration in Community-Based Participatory Research (CBPR)

This study explores the use of Computer-Supported Collaborative Work (CSCW) technologies, by way of a computer-based system called iCohere. This system was used to facilitate collaboration conducting Community-Based Participatory Research (CBPR). Data was gathered from 13 members of a Community Collaborative Board (CCB). Analysis revealed that iCohere served the following functions: facilitating communication, providing a depository for information and resource sharing, and allowing for remote meeting attendance. Results indicated that while iCohere was useful in performing these functions, less expensive technologies had the potential to achieve similar goals if properly implemented. Implications for future research on CSCW systems and CBPR are discussed.     

Early Pregnancy Assessment Services in Australia: What psychosocial support is available? A qualitative study

ProblemWomen commonly experience emotional distress following miscarriage but do not receive the support they need from healthcare providers.BackgroundMiscarriage can result in psychological morbidity; however, appropriate support at the time of a miscarriage can lead to better psychological outcomes. Early Pregnancy Assessment Services (EPASs) are dedicated outpatient services considered the “gold standard” for miscarriage care. Little is known about the psychosocial support EPASs provide in Australia.AimsThe aim of this study was to explore the provision of psychosocial support in Australian EPASs.MethodsSemi-structured interviews were conducted with 29 purposively sampled key-informants from 13 EPASs. Interviews were audio-recorded, transcribed, and thematically analysed.FindingsConsiderable variation was found in how EPASs functioned and their provision of psychosocial support. Many services were co-located with antenatal services, run by doctors with limited experience and most did not offer any psychosocial training to staff specific to EPAS. Referrals for additional support were generally not offered for first trimester miscarriages, and follow-up typically focused on physical management rather than emotional wellbeing. All EPAS staff demonstrated a strong commitment to providing best possible care to women within their own clinical setting and acknowledged the need for improved psychosocial support.ConclusionThis study provides the first exploration of Australian EPASs’ provision of psychosocial support. It has shown that while health care professionals working in EPASs are dedicated to providing the best possible care to women within their clinical setting, psychosocial support is very limited and could be improved.     

河北省大学生就业现状研究

2012年,河北省的高校毕业生将达到35万人,加上中专、技校毕业生可达40万人,就业形势不容乐观。在这样严峻的形势下,河北省要实现大学生充分就业,须从政府、社会、高校和用人单位等各方面抓起。     

Assisting the High Administrative Court in Restricting Too Broad a Concept of Academic Judgment

I have received substantial monetary compensation and a formal apology from my first doctoral school, and a Ph.D. from another university. This essay describes my personal view on discussing the boundaries of academic judgment and research supervision with the ombudsman agency for higher education, and at the High Administrative Court of England and Wales. The Court’s judicial doctrine addresses substantial research accountability matters. It clarifies that although the Court and ombudsman agency must not interfere with academic judgment, not everything done by an academic can be considered as academic judgment. A Ph.D. supervisor can seriously fail to perform his/her duties.     

多语际语言语音习得中的质性案例研究

语言迁移现象既发生在母语与第一外语学习过程中,也同样发生在学习第二外语的过程中,并且因此而变得复杂有趣。多种语言本身的独特性和差异性,使多语际语言基础对第一、第二外语语音学习过程产生了相互影响和作用。本研究以西班牙大学生和中国西班牙语专业大学生为研究对象,通过对比研究中文普通话、英语和西班牙语在语音方面的特点,探索母语、第一外语、第二外语之间的相互关系,及其对语音学习所产生的作用和影响,为多语际语音习得与外语教学提供有价值的借鉴和经验。     

会计核算软件逆向操作的利弊分析

为了迎合财务会计的需求,软件公司开发了不少带有逆向操作功能的软件,虽然在使用中对更正会计差错、减少系统数据冗余和提高工作质量等起到了一定的作用,但同样也给财务会计系统的安全带来了威胁。这里在简略介绍会计核算软件逆向操作内涵和功能作用的基础上,针对其可能产生的隐患和危害等进行了分析,并针对其弊端和可能的风险提出了防范性完善措施。     

Sensitivity,uncertainty, and decision analyses in the prioritization of research

The evaluation of hazards from complex, large scale, technologically advanced systems often requires the construction of computer implemented mathematical models. These models are used to evaluate the safety of the systems and to evaluate the consequences of modifications to the systems. These evaluations, however, are normally surrounded by significant uncertainties related to the uncertainty inherent in natural phenomena such as the weather and those related to uncertainties in the parameters and models used in the evaluation.

Another use of these models is to evaluate strategies for improving information used in the modeling process itself. While sensitivity analysis is useful in defining variables in the model that are important, uncertainty analysis provides a tool for assessing the importance of uncertainty about these variables. A third complementary technique, is decision analysis. It provides a methodology for explicitly evaluating and ranking potential improvements to the model. Its use in the development of information gathering strategies for a nuclear waste repository are discussed in this paper.     

Fused least absolute shrinkage and selection operator for credit scoring

Credit scoring can be defined as the set of statistical models and techniques that help financial institutions in their credit decision makings. In this paper, we consider a coarse classification method based on fused least absolute shrinkage and selection operator (LASSO) penalization. By adopting fused LASSO, one can deal continuous as well as discrete variables in a unified framework. For computational efficiency, we develop a penalization path algorithm. Through numerical examples, we compare the performances of fused LASSO and LASSO with dummy variable coding.     

Moment‐Independent Sensitivity Analysis Using Copula

In risk assessment, the moment‐independent sensitivity analysis (SA) technique for reducing the model uncertainty has attracted a great deal of attention from analysts and practitioners. It aims at measuring the relative importance of an individual input, or a set of inputs, in determining the uncertainty of model output by looking at the entire distribution range of model output. In this article, along the lines of Plischke et al., we point out that the original moment‐independent SA index (also called delta index) can also be interpreted as the dependence measure between model output and input variables, and introduce another moment‐independent SA index (called extended delta index) based on copula. Then, nonparametric methods for estimating the delta and extended delta indices are proposed. Both methods need only a set of samples to compute all the indices; thus, they conquer the problem of the “curse of dimensionality.” At last, an analytical test example, a risk assessment model, and the levelE model are employed for comparing the delta and the extended delta indices and testing the two calculation methods. Results show that the delta and the extended delta indices produce the same importance ranking in these three test examples. It is also shown that these two proposed calculation methods dramatically reduce the computational burden.