Shit is good: Mental health social work with lives of squalor

This paper investigates the phenomenon of three clients living in squalor, all of whom have severe and enduring mental health problems, and are on the caseload of a mental health social work team. By thinking about the clients both individually and as a group, within a psychoanalytic framework, it attempts to understand their squalor in a new way, with particular regard to the transference and countertransference experienced by the practitioner. By making use of social work literature as well as that concerning organisations and community care, it also discusses the impact these clients make on the wider community around them, and examines some of the dilemmas faced by the practitioner. The implications for social work are serious and far-reaching and these are discussed with regard to long-term intervention as well as professional and personal scrutiny.     

R&D cooperation in collaborative consumption of research equipment: An ERGM approach

High-tech research infrastructure is essential for state-of-the-art research, but requires many resources. Relatively weak actors, such as SMEs, cannot secure enough of those. Applying the concept of collaborative consumption via digital platforms, we examine the cooperative behavior of Korean SMEs that share research equipment to overcome their lack of resources. Also, we analyze configurations of a collaborative consumption network using the Exponential Random Graph Model. Network structural factor analysis shows sufficient effects of network positive feedback through cooperative consumption with a variety of popular providers and attributes analysis shows that SMEs frequently engage in collaborative consumption with their counterparts in the same region. This new cooperative model can achieve a virtuous cycle of policies, as it increases the efficiency of research infrastructure, preventing the unnecessary building of new research equipment and enabling relocation of underutilized infrastructure and online reservation of equipment.     

Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

A ship that is not under control (NUC) is a typical incident that poses serious problems when in confined waters close to shore. The emergency response to NUC ships is to select the best risk control options, which is a challenge in restricted conditions (e.g., time limitation, resource constraint, and information asymmetry), particularly in inland waterway transportation. To enable a quick and effective response, this article develops a three‐stage decision‐making framework for NUC ship handling. The core of this method is (1) to propose feasible options for each involved entity (e.g., maritime safety administration, NUC ship, and ships passing by) under resource constraint in the first stage, (2) to select the most feasible options by comparing the similarity of the new case and existing cases in the second stage, and (3) to make decisions considering the cooperation between the involved organizations by using a developed Bayesian network in the third stage. Consequently, this work provides a useful tool to achieve well‐organized management of NUC ships.     

That's My Art: A Case Study on Children's Views of Cultural Policy

How do children experience a participatory TV cultural policy project and, related to that, which views do they share on cultural policy matters? These questions guided a case study on a TV show aired on the Flemish children's public service channel, which staged children as cultural experts. Although the programme was presented as a participatory project, we found that the children's views were minimally involved in the production process. The children also expressed concerns about how (their) art and cultural practices were represented. Yet, from a cultural policy perspective, the children accepted adults’ authority in art and cultural matters.     

Analysis of Regional Scale Risk of Whirling Disease in Populations of Colorado and Rio Grande Cutthroat Trout Using a Bayesian Belief Network Model

Introduction and spread of the parasite Myxobolus cerebralis, the causative agent of whirling disease, has contributed to the collapse of wild trout populations throughout the intermountain west. Of concern is the risk the disease may have on conservation and recovery of native cutthroat trout. We employed a Bayesian belief network to assess probability of whirling disease in Colorado River and Rio Grande cutthroat trout (Oncorhynchus clarkii pleuriticus and Oncorhynchus clarkii virginalis, respectively) within their current ranges in the southwest United States. Available habitat (as defined by gradient and elevation) for intermediate oligochaete worm host, Tubifex tubifex, exerted the greatest influence on the likelihood of infection, yet prevalence of stream barriers also affected the risk outcome. Management areas that had the highest likelihood of infected Colorado River cutthroat trout were in the eastern portion of their range, although the probability of infection was highest for populations in the southern, San Juan subbasin. Rio Grande cutthroat trout had a relatively low likelihood of infection, with populations in the southernmost Pecos management area predicted to be at greatest risk. The Bayesian risk assessment model predicted the likelihood of whirling disease infection from its principal transmission vector, fish movement, and suggested that barriers may be effective in reducing risk of exposure to native trout populations. Data gaps, especially with regard to location of spawning, highlighted the importance in developing monitoring plans that support future risk assessments and adaptive management for subspecies of cutthroat trout.     

An access network design problem with end-to-end QoS constraints

In this paper, we present an access network design problem with end-to-end quality of service (QoS) requirement. The problem can be conceptualized as a two-level hierarchical location-allocation problem on the tree topology with nonlinear side constraints. The objective function of the nonlinear mixed integer programming model minimizes the total cost of switch and fiber cable, while satisfying demand within the prescribed level of QoS. By exploiting the inherent structure of the nonlinear QoS constraints, we develop linearization techniques for finding an optimal solution. Also, we devise an effective exact optimal algorithm within the context of disjunctive constraint generation. We present promising computational results that demonstrate the effectiveness of the proposed solution procedure.     

A Quantitative Estimate of the Dominant Position of Public Ownership in China and Trends in Its Development

以不同生产资料所有制的经营性资产价值量作为衡量主次地位的边界标准，估算第一产业公有制与非公有制的资产规模及其比重变化，并在前人估算的基础上，延伸估算第二和第三产业两种所有制的资产规模及其比重变化。结果发现：截至2012年，中国三次产业经营性总资产约为487．53万亿元，其中公有制经济的资产规模是258．39万亿元，占53％；第二、三产业非公有制经济占增加值和就业规模的比重分别为67．59％和75．20％。这表明，公有制资产仍占主体，非公有制经济贡献占优，中国社会主义基本经济制度充满活力，从而为我国社会主义初级阶段的所有制改革和坚持“两个毫不动摇”的政策提供了理论依据。     

Transient detailed balance and product form for reaction networks

This paper explores the boundary of the set of reaction networks that have an exact transient (truncated) multidimensional Poisson or product-form distribution for the number of particles of different types. Motivated by the birth–death process, we introduce the notions of transient detailed balance and delay functions, and use these notions to obtain the novel transient product-form distribution in a coagulation-fragmentation process for polymers with a tree-like structure from that of the pure coagulation process.     

充分利用网络技术全面提高会计控制质量

e7T中华财会网网络技术的发展对企业内部会计控制产生了深远的影响,文章从网络环境下内部会计控制呈现的新特点着手,分析了网络环境下内部会计控制系统所面临的风险,对存在的问题及其成因作了尝试性的探讨,提出了完善、加强内部会计控制的建议,以期达到提高网络环境下内部会计控制质量的目的。     

Connecting for success: Egocentric network types among underrepresented minority students at college

This study investigates the egocentric networks of underrepresented minority students. Adjustment to college for underrepresented minority students often means balancing between the origin (i.e., low-status family) and host (i.e., academic) environments, requiring students to develop different coping strategies. The analysis included 124 Roma university students. We employed the contact diary method and the EgoNet program for mapping students’ egocentric networks. We explored classification among egocentric networks by cluster analysis based on the network proportion of the origin, fellow, and host groups. Three clusters were distinguished. The Host-based cluster proved to be the most advantageous, while the Balancing cluster appeared to be the most disadvantageous in terms of network resources, well-being, and trust. Partners’ ethnicity and educational attainment showed a strong connection with cluster membership. Our results highlight that small fellow communities can successfully interconnect the origin and host groups in students’ egocentric networks.