Web-based counseling for problem gambling: exploring motivations and recommendations

Background:

An effective heuristic for stockyard planning and machinery scheduling at a coal handling facility

Coal handling is a complex process involving different correlated and highly dependent operations such as selecting appropriate product types, planning stockpiles, scheduling stacking and reclaiming activities and managing train loads. Planning these operations manually is time consuming and can result in non-optimized schedules as future impact of decisions may not be appropriately considered. This paper addresses the operational scheduling of the continuous coal handling problem with multiple conflicting objectives. As the problem is NP-hard in nature, an effective heuristic is presented for planning stockpiles and scheduling resources to minimize delays in production and the coal age in the stockyard. A model of stockyard operations within a coal mine is described and the problem is formulated as a Bi- Objective Optimization Problem (BOOP). The algorithm efficacy is demonstrated on different real-life data scenarios. Computational results show that the solution algorithm is effective and the coal throughput is substantially impacted by the conflicting objectives. Together, the model and the proposed heuristic, can act as a decision support system for the stockyard planner to explore the effects of alternative decisions, such as balancing age and volume of stockpiles, and minimizing conflicts due to stacker and reclaimer movements.

Mixed methods and its application in prehospital research: a systematic review

The utilization of mixed methods in prehospital research is relatively new. Its use may enhance research findings, but it is not without its challenges. This study used online databases to systemically search for literature relating to the application of mixed methods in prehospital research, in order to understand the place of mixed methods research in the prehospital setting. The prehospital field appears to be embracing mixed methods as an approach to research due to its ability to address health care questions in complex, diverse environments. However, supplemental literature in this area is limited, with mixed methods expertise being found in other health science areas. Researchers should endeavor to continue to contribute to this area through high-quality, rigorous mixed methods studies.

Refraction in children: a comparison of two methods of accommodation control

Purpose: 

On the kidney exchange problem: cardinality constrained cycle and chain problems on directed graphs: a survey of integer programming approaches

The Kidney Exchange Problem (KEP) is a combinatorial optimization problem and has attracted the attention from the community of integer programming/combinatorial optimisation in the past few years. Defined on a directed graph, the KEP has two variations: one concerns cycles only, and the other, cycles as well as chains on the same graph. We call the former a Cardinality Constrained Multi-cycle Problem (CCMcP) and the latter a Cardinality Constrained Cycles and Chains Problem (CCCCP). The cardinality for cycles is restricted in both CCMcP and CCCCP. As for chains, some studies in the literature considered cardinality restrictions, whereas others did not. The CCMcP can be viewed as an Asymmetric Travelling Salesman Problem that does allow subtours, however these subtours are constrained by cardinality, and that it is not necessary to visit all vertices. In existing literature of the KEP, the cardinality constraint for cycles is usually considered to be small (to the best of our knowledge, no more than six). In a CCCCP, each vertex on the directed graph can be included in at most one cycle or chain, but not both. The CCMcP and the CCCCP are interesting and challenging combinatorial optimization problems in their own rights, particularly due to their similarities to some travelling salesman- and vehicle routing-family of problems. In this paper, our main focus is to review the existing mathematical programming models and solution methods in the literature, analyse the performance of these models, and identify future research directions. Further, we propose a polynomial-sized and an exponential-sized mixed-integer linear programming model, discuss a number of stronger constraints for cardinality-infeasible-cycle elimination for the latter, and present some preliminary numerical results.

A review of methods and tools to assess the implementation of government policies to create healthy food environments for preventing obesity and diet-related non-communicable diseases

BACKGROUND: Policies to create healthy food environments are recognized as critical components of efforts to prevent obesity and diet-related non-communicable diseases. There has not been a systematic review of existing methods and tools used to assess the implementation of these government policies. The purpose of this study was to review methods and tools used for assessing the implementation of government policies to create healthy food environments. The study conducted a systematic literature search. Multiple databases as well as the grey literature were searched. All study designs and review papers on assessing the implementation of government policies to create healthy food environments were included. A quality assessment of the methods and tools identified from relevant studies was carried out using the following four criteria: comprehensiveness, relevance, generalizability and feasibility. This quality assessment was completed by two independent reviewers. RESULTS: The review identified 52 studies across different policy areas, levels and settings. Self-administered questionnaires and policy checklists were most commonly applied to assess the extent of policy implementation, whereas semi-structured interviews were most commonly used to evaluate the implementation process. Measures varied widely, with the existence of policy implementation the aspect most commonly assessed. The most frequently identified barriers and facilitators for policy implementation were infrastructure support, resources and stakeholder engagement. The assessment of policy implementation on food environments was usually undertaken in combination with other policy areas, particularly nutrition education and physical activity. Three tools/methods were rated 'high' quality and 13 tools/methods received 'medium' quality ratings. CONCLUSIONS: Harmonization of the available high-quality methods and tools is needed to ensure that assessment of government policy implementation can be compared across different countries and settings and over time. This will contribute to efforts to increase government accountability for their actions to improve the healthiness of food environments.

Rehabilitation staff perspectives on training for problem-solving therapy for primary care in a low vision service

Vision rehabilitation staff were trained to deliver problem-solving therapy for primary care (PSTPC) over the telephone to adults with depressive symptoms and low vision. Training was a 2-day workshop, completion of training cases, and assessment of treatment fidelity. Staff perspectives of training and challenges in PST-PC delivery were explored. Telephone-administered semistructured interviews were conducted pre- and post-workshop and following PST-PC competency. In all, 14 staff (mean age = 47.64 years, SD = 12.68 years, 93% females) achieved competency and 6 withdrew. Results showed an increased understanding of PST-PC from pre- to post-workshop (Z = −2.71, p = .007) and pre-workshop to post-competency (Z = −3.09, p = .002). A high level of satisfaction with training was reported. Staff challenges included the clients’ ability to define problems and brainstorm solutions. Training enabled staff to competently deliver PST-PC and may serve as a model for integrating depression care into vision rehabilitation services recommended by international guidelines.

Reaching for the heavenly bead of teaching through structured problem solving

Japanese Lesson Study has provoked intense interest since it became known in the mid-1990s due to descriptions of the "typical" Japanese abacus - the soroban - with its Earth and Heaven beads as its metaphor, this paper examines the Earth beads necessary to reach the goal of a Heavenly bead - that is, an effective structured problem-solving mathematics lesson.