A Local Adaptation in an Output-Based Research Support Scheme(OBRSS)at University College Dublin

University College Dublin(UCD) has implemented the Output-Based Research Support Scheme(OBRSS) since 2016. Adapted from the Norwegian model, the OBRSS awards individual academic staff using a points system based on the number of publications and doctoral students. This article describes the design and implementation processes of the OBRSS, including the creation of the ranked publication list and points system and infrastructure requirements. Some results of the OBRSS will be presented, focusing on the coverage of publications reported in the OBRSS ranked publication list and Scopus, as well as information about spending patterns. Challenges such as the evaluation of the OBRSS in terms of fairness, transparency, and effectiveness will also be discussed.

Internet-Based Support and Coaching for Adolescents and Young Adults with Neuropsychiatric Disorders—The Implementation of an Intervention from an Organizational Perspective

There is a documented and often unmet need for interventions aimed at supporting young people with attention-deficit/hyperactivity disorder (ADHD) and/or autism spectrum disorder (ASD) in their transition between adolescence and adulthood. Difficulties with social interaction, initiation difficulties, and impairments in executive function can complicate visits at a clinic, i.e. traditional treatment, for individuals with neuropsychiatric disorders (NPD). A model for internet-based support and coaching aimed at young people with ASD and/or ADHD was developed and tested at three treatment sites in western Sweden. The implementation was analyzed against an inventory according to which implementations are more likely to be successful if an intervention: 1) has advantages compared to other existing methods, 2) matches the individual and organizational values, norms and work practices of its recipients, 3) is perceived as easy to use, and 4) is adaptable to local conditions and the recipients’ needs. Data were collected through group interviews with professionals involved in the implementation of the intervention. The implementation of the intervention showed promising results on measures such as access, delivery/quality of healthcare services, and equality of distribution of healthcare services. The identified impediments to successful implementation related to a wide range of factors and levels, including the design of the intervention, technical issues, attitudes of staff, organizational culture, and organizational structure at the implementation sites in terms of patient stock, work division, and resource allocation. The results are consistent with previous studies that stress the need for multi-component implementation strategies.

Integration of Decision－Support and Knowledge－Based Techniques in a Problem－Solving Strategy for Sel

The limitations of traditional approaches to selection problems are examined. A problemsolving strategy is presented in which decision-support and knowledge-based techniques play complementary roles. An approach to the representation of knowledge to support the problem-solving strategy is presented which avoids commitment to a specific programming language or implementation environment. The problem of choosing a home is used to illustrate the representation of knowledge in a specific problem domain. Techniques for implementation of the problem-solving strategy are described. Knowledge elicitation techniques and their implementation in a development shell for application of the problem-solving strategy to any selection problem are also described.

Innovative Artificial Neural Networks-Based Decision Support System for Heart Diseases Diagnosis

Heart diagnosis is not always possible at every medical center, especially in the rural areas where less support and care, due to lack of advanced heart diagnosis equipment. Also, physician intuition and experience are not always sufficient to achieve high quality medical procedures results. Therefore, medical errors and undesirable results are reasons for a need for unconventional computer-based diagnosis systems, which in turns reduce medical fatal errors, increasing the patient safety and save lives. The proposed solution, which is based on an Artificial Neural Networks (ANNs), provides a decision support system to identify three main heart diseases: mitral stenosis, aortic stenosis and ventricular septal defect. Furthermore, the system deals with an encouraging opportunity to develop an operational screening and testing device for heart disease diagnosis and can deliver great assistance for clinicians to make advanced heart diagnosis. Using real medical data, series of experiments have been conducted to examine the performance and accuracy of the proposed solution. Compared results revealed that the system performance and accuracy are acceptable, with a heart diseases classification accuracy of 92%.

A knowledge-based decision support system for engineering design

A knowledge-based decision supporting system, used for engineering design is introduced by describing the architecture, function, workflow of the system and its way of implementation. Based upon information composed of knowledge, models, data, cases, methods, etc, the system is designed to use such methods as knowledge-based reasoning, case-based reasoning, and multi-criteria evaluation techniques to provide effective tools to support the decision-making process.

Integrating Knowledge－Based Simulation with Aspiration－Directed Model－based Decision Support System

This paper reports an aspiration-directed, model-based decision support system (AMDSS) integrated with a knowledge-based simulation system. The system is designed to study China's mid-range economic development strategy. The capacity of the system is enhanced by the knowledge-based component which provides a knowledge-based simulation environment for model management. Currently the system has passed the stage of prototype and achieves its implementation capacity. The paper first presents the mathematical aspects of decision making including aspiration-directed decision making, then discusses the architecture of the system. The purpose of the paper is to provide insights into how such an integrated system could provide decision support for complex decision analysis.

NEW SOLID BASE DERIVED FROM AIPO4-5 SUPPORTED KF

Dispersion of KF on AlPO4-5 molecular sieve created basic sites and caused 1654 cm- band of bidentate carbonate in CO2 adsorption.After pre-treated above 823K. 5%KF/AlPO4-5exhibited basic catalytic activity in the isomerization of butenes at 273K. and the activity increasedwith the pre-treatment temperature up to 923K.

Multi-agent decision support system for missile defense based on improved PSO algorithm

Ballistic missile defense system (BMDS) is important for its special role in ensuring national security and maintaining strategic balance. Research on modeling and simulation of the BMDS beforehand is essential as developing a real one requires lots of manpower and resources. BMDS is a typical complex system for its nonlinear, adaptive and uncertainty characteristics. The agent-based modeling method is well suited for the complex system whose overall behaviors are determined by interactions among individual elements. A multi-agent decision support system (DSS), which includes missile agent, radar agent and command center agent, is established based on the studies of structure and function of BMDS. Considering the constraints brought by radar, intercept missile, offensive missile and commander, the objective function of DSS is established. In order to dynamically generate the optimal interception plan, the variable neighborhood negative selection particle swarm optimization (VNNSPSO) algorithm is proposed to support the decision making of DSS. The proposed algorithm is compared with the standard PSO, constriction factor PSO (CFPSO), inertia weight linear decrease PSO (LDPSO), variable neighborhood PSO (VNPSO) algorithm from the aspects of convergence rate, iteration number, average fitness value and standard deviation. The simulation results verify the efficiency of the proposed algorithm. The multi-agent DSS is developed through the Repast simulation platform and the constructed DSS can generate intercept plans automatically and support three-dimensional dynamic display of missile defense process.

Research on and implementation of a knowledge-reasoning based evaluation support system

An evaluation support system involving complicated decision making problems during engineering design of products is introduced by first describng and modeling complicated decision making problems, and then constructing and describing the architecture and functional structure of an evaluation support system, based on knowledge-based reasoning. Knowledge contains important experience of field-expert and can be classified and stored in knowledge bases, and therefore, the system suggests information-processing tools based on information resources including data knowledge bases and methods bases, which can be used to evaluate the designs against the multi-criteria decision framework thereby providing decision-makers with rational and scientific information.

Decision Support through Intelligent Agent Based Simulation and Multiple Goal Based Evolutionary Optimization

Agent based simulation has successfully been applied to model complex organizational behavior and to improve or optimize aspects of organizational performance. Agents, with intelligence supported through the application of a genetic algorithm are proposed as a means of optimizing the performance of the system being modeled. Local decisions made by agents and other system variables are placed in the genetic encoding. This allows local agents to positively impact high level system performance. A simple, but non trivial, peg game is utilized to introduce the concept. A multiple objective bin packing problem is then solved to demonstrate the potential of the approach in meeting a number of high level goals. The methodology allows not only for a systems level optimization, but also provides data which can be analyzed to determine what constitutes effective agent behavior.

直接甲醇燃料电池中碳基载体材料的研究进展

甲醇氧化电催化剂是决定直接甲醇燃料电池(DMFCs)性能、寿命与成本的关键。为获得高功率密度和低生产成本的DMFCs,设计合成组成、结构、形貌可控的阳极催化剂备受关注。阳极催化剂的颗粒尺寸、粒径分布、形貌结构、稳定性、分散性以及催化活性都与载体息息相关,而碳基载体材料由于其优异的性能已广泛应用于DMFCs中。首先,介绍了酸性环境和碱性环境中甲醇氧化反应的机理;然后,对不同形式的碳基载体材料,如炭黑、介孔碳、碳纳米材料、氧功能化碳、杂原子掺杂碳以及金属氧化物改性碳作为催化剂载体在DMFCs中的应用进行了综述;最后,对DMFCs的发展趋势进行了展望。

Exploring the Multivariate Relationships between Adolescent Depression and Social Support, Religiosity, and Spirituality in a Faith-Based High School

Depression is one of the most common psychological disorders that affect adolescents. In this study, we investigated how depression in adolescents relates to social support, religiosity, and spirituality in multivariate analyses. We also investigated whether age, gender and ethnicity are predictors of depression among adolescents in a faith-based high school. We measured social support using the Child and Adolescent Social Support Scale (CASSS), religiosity with the Duke University Religion Index (DUREL);spirituality with the Spiritual Well-Being Scale (SWBS);and depression with the Center for Epidemiological Studies Depression Scale for Children (CES-DC). Results of the bivariate analyses showed a significant negative association between depression and social support, religiosity, and spirituality (p –0.548, p = 0.00) was negatively related to depression in adolescents. The study found significant gender differences only in religiosity, while significant ethnic differences were only found in social support. Implications to education, practice, research and future directions of study are discussed.

Generating Fuzzy Rule-based Systems from Examples Based on Robust Support Vector Machine

This paper firstly proposes a new support vector machine regression (SVR) with a robust loss function, and designs a gradient based algorithm for implementation of the SVR, then uses the SVR to extract fuzzy rules and designs fuzzy rule-based system. Simulations show that fuzzy rule-based system technique based on robust SVR achieves superior performance to the conventional fuzzy inference method, the proposed method provides satisfactory performance with excellent approximation and generalization property than the existing algorithm.

含氟材料助燃硼粉研究进展

系统综述了含氟材料助燃硼粉的研究进展,并分析了助燃机制。研究表明,不论无机含氟材料、有机含氟材料还是自组装含氟材料,对硼粉燃烧都有一定的助燃效果。但是,不同含氟材料对硼粉的助燃效果有很大差异,新兴的自组装含氟材料结构规整,可能极具应用价值,值得深入研究。分析表明,含氟材料的助燃机制为氟自由基或含氟基团的自由基的催化作用,该发现对材料的应用场景具有重要参考意义。综合大量文献研究,作者首次提出,氢含量低、易于热解且热解时易产生氟原子及含氟烷烃、含氟烯烃的自由基的材料,对硼粉会具有更好的助燃效果。研究结果预计对火炸药行业从业者会有重要的参考价值。

Development of a Web-Based Decision Support System for Cell Formation Problems Considering Alternative Process Routings and Machine Sequences

In this study, we use the respective advantages of the tabu search (TS) and the Web-based technologies to develop a Web-based decision support system (DSS) for cell formation (CF) problems considering alternative process routings and machine sequences simultaneously. With the assistance of our developed Web-based system, the CF practitioners in the production departments can interact with the systems without knowing the details of algorithms and can get the best machine cells and part families with minimize the total intercellular movement wherever and whenever they may need it. To further verify the feasibility and effectiveness of the system developed, an example taken from the literature is ado- pted for illustrational purpose. Moreover, a set of test problems with various sizes drawn from the literature is used to test the performance of the proposed system. Corresponding results are compared to several well-known algorithms previously published. The results indicate that the proposed system improves the best results found in the literature for 67% of the test problems. These show that the proposed system should thus be useful to both practitioners and researchers.

高速钢桶焊缝机电机座支撑脚复合模设计

针对高速钢桶焊缝机电机座支撑脚使用2 mm厚的SECC板料进行中小批量冲压成形的要求,设计了3副模具用于制件的4道工序成形。冲孔落料和修边压印采用倒装式复合模结构、切分模和弯曲模采用正装结构,且切分模和弯曲模集成在1副模具内。弯曲模中设计了凸模驱动的双滑块内收弯曲成形机构,该机构在制件弯曲壁的两侧都使用滑块进行夹紧驱动弯曲,能有效防止弯曲回弹,保证了制件的弯曲成形尺寸。模具结构简单实用,成形工艺设计合理,实现了制件的自动化生产。

高职院校工程测量技术专业学生创新创业能力现状调研

通过问卷调查法深入了解高职院校工程测量技术专业学生的创新创业能力现状。将问卷调查分为高职院校和学生两部分,其中针对高职院校的调查以网络问卷为主,对学生的调查采取线上线下相结合的方式。调查结果显示,学生在创新创业资金方面需要高职院校提供更多支持。学生的创新创业意愿较弱,大多数学生参加创新创业活动的次数为1~3次,参与度相对较低,且活动形式较为单一。高职院校需积极探索创新创业教育的新模式,注重创新创业实践教学环节的设置,为学生搭建更多的创新创业平台。

Is There an Improvement in Patient Survival/Code Blue Activation after Training Based on Simulation (Basic Life Support—BLS) Based Practice of Cardiopulmonary Resuscitation?

Background and Aim: The only way to survive a sudden cardiac arrest is when the CPR is performed immediately after the arrest. The focus of the present research study is to assess the effectiveness of a pre- and post-simulation-based BLS training (BLS) and the outcome was measured on the basis of patient survival after the cardiac arrest. Study Design: This pre- and post-training BLS/CPR training study enrolled all nursing staff, all hospital residents, internees, throughout the hospital in a simulation-based BLS training as per the standards of American Heart Association (AHA), to make them respond to immediate resuscitation and code blue activation during the cardiac arrest within the hospital premises including ED, wards, ICUs, MRI, CT and all miscellaneous areas. The providers completed self-efficacy questionnaires as per the AHA protocol before being certified and were evaluated during the emergency in hospital cardiopulmonary arrest. Results: 296 nursing staff, 206 non-healthcare professionals, 143 residents, 212 internees, and 98 medical staff grade doctors completed the BLS training (total 955 hospital staff—providers) were graded for the response by pre- and post-training testing. In the course of pre-BLS training period out of the 250 cardiac arrest patients, 68 patients (27.2%) had ROSC, while after instituting the BLS training period, 143 individuals (40.86%) of the 350 patients who had cardiac arrest had ROSC (p < 0.05). Conclusion: A simulation-based CPR and BLS training curriculum greatly improves patient outcome by reducing mortality and morbidity with improved subjectivity, self-efficiency along with the objective assessment of the performance scores during acute cardiac arrest in Emergency Cardiovascular Care (ECC).

基于TOE框架的企业创新质量提升路径研究——专利战略化申请视角的分析

创新质量的提升对中国企业来说是实现效益可持续增长和保持竞争力的重要手段。近年来,我国在知识产权保护方面取得了巨大进步,在专利数量与质量层面均呈现出显著的提升趋势。在此背景下,国内企业申请专利的动机不再仅限于技术知识保护的单一目标,还包含了开拓国际市场、建立声誉和增加谈判筹码等。因此,我国企业以多动机并存的方式进行专利布局,而多元化的专利战略化申请动机对企业创新活动与结果产生了异质性影响。以中国医疗制造型上市企业为研究对象,运用模糊集定性比较分析方法(fsQCA),基于技术—组织—环境(TOE)框架,探讨技术(发明专利战略化申请动机)、组织(企业技术知识基础广度与深度)和外部环境(政府经费支持与区域知识产权保护)对企业创新质量的多元影响路径。研究发现:①企业发明专利战略化申请动机、技术知识基础特性以及外部环境之间存在联动匹配的多重并发因果关系,引致企业高创新质量与非高创新质量的组态结果呈现出因果非对称性关系;②引致企业高创新质量的组态路径有技术与组织协同型(P1)及技术—组织—环境耦合型(P2、P3)共3条,以及发明专利战略化申请的阻挡动机与国际市场开拓动机是引致企业高创新质量的关键要素;③企业高创新质量背后涉及多种因素的协同作用,通过多种组合以“殊途同归”的方式提升企业的创新质量。研究结论为企业在不同外部环境与内部知识资源的条件下,根据不同发明专利战略化申请动机,更好地利用知识产权保护以实现创新质量提升提供了理论指导与管理启示。

共同富裕理念下农村社区互助养老长效机制探索

在共同富裕的大背景下,互助养老依托第三次分配机制,具有资源整合度高、运行成本低、嵌入性强等特征,在农村社区具有较大的发展空间与前景,得到学界与政府重视与推广,但还存在不易解决特殊困难老人的社区居家养老等问题。因此,农村养老问题还需要政府发挥基本保障职能,强化第二次分配力度,为特殊困难老人提供兜底养老保障,同时助力老年协会规范化建设,让其成为互助养老服务的主体,让农村社区互助养老基本服务惠及每位老人。