Application of GIS and multicriteria evaluation in locating sustainable boundary between the tunari National Park and Cochabamba City (Bolivia)

Increased population growth and urbanization, has caused increase in demand for land around the city of Cochabamba, which has led to encroachment into the National Park and the construction of illegal settlements. This has created a number of problems, some of which are the direct consequences of the new settlements in the ‘Tunari’ foothills. These settlements constitute a threat to the environment and people because of their location in flood risk and aquifer recharge areas. In response to this problem the city authorities are considering relocating the boundary between the National Park and the city. This study has focused on the design and evaluation of alternative locations for a sustainable boundary between the north of ‘Cochabamba City’ and the southern boundary of the ‘Tunari National Park’. In this process, a rational and systematic approach of collaborative‐decision‐making, supported by geographical information systems (GIS) and multicriteria evaluation (MCE) has been employed and evaluated. Copyright © 2003 John Wiley & Sons, Ltd.     

基于遗传算法的模糊综合评价在心理测量中的应用

提出了运用模糊数学对利克特量表数据进行分析的方法, 探讨了人们在进行模糊综合评价时, 所采用的算子和对各个自变量的权重分配, 并且运用遗传算法(GA)来确定相关的权重。以大学生对康师傅红烧牛肉面的评价数据为例, 运用基于遗传算法的模糊综合评价方法, 发现男生采用了“最大最小”合成算子, 女生采用了“有界和、取小”合成算子。研究结果表明, 基于遗传算法的模糊综合评价方法可以对利克特量表的心理测量数据进行有效的分析。     

Place of Strength: Indigenous Artists and Indigenous Knowledge is Prevention Science

The Place of Strength (PoS) project represents an effort to Indigenize program evaluation with Indigenous communities by melding art with prevention science. We propose that Native artists as evaluators: (a) opens avenues of communication for Indigenous perspectives; (b) provides opportunities to capture spiritual, relational, and emotional impacts of prevention programming; and (c) maintains Indigenous processes, language, and values at the center of knowledge production. The New Mexico Tribal Prevention Project (NMTPP) funded seven Southwestern tribes to develop substance abuse prevention programs. In response to their expressed negative experiences with evaluation of prevention strategies, NMTPP piloted PoS. PoS shifted systematic knowledge paradigms to Tribal thought, values, and perspectives embodied in art. Art exists in Native communities as a way of documenting lifeways and historical experiences through various cultural forms. We share the process of collaborating with Native artists to document the impact of substance abuse prevention initiatives through their art within a community context. We offer concepts derived from this project as a community psychology model for re‐conceptualizing evaluation utilizing Indigenous knowledge.     

反馈评估的局部背景依赖效应：ERP研究

人脑对反馈的评估依赖于其所处背景。但是只能依赖整体背景(整个组块的结果范围), 还是可以依赖局部背景(单个试次的结果范围)进行评估, 目前并不清楚。本研究通过获益/损失线索操纵所在试次的反馈背景, 探讨反馈评估仅依赖整体背景, 还是可延伸到局部水平。25名被试参与实验。结果发现, 背景试次间变化时, 在获益背景下, ￥0 (负反馈)比+ ￥4 (正反馈)引发更负的FRN (feedback-related negativity); 在损失背景下, - ￥4 (负反馈)比￥0 (正反馈)引发更负的FRN。这一结果说明反馈评估以某线索背景中可能的结果为参考对象, FRN的背景依赖可以延伸到局部水平。结合前人研究, 推测任务类型和反馈真实性会调节背景依赖水平。在含真实反馈的主动性任务中, FRN的背景依赖效应可延伸至局部水平。     

Meta‐Analysis of Integrated Primary and Behavioral Health Care Interventions for Treating Substance Use Among Adults

This meta‐analysis detected low effects in reducing substance use (Hedges's g = –0.11) in favor of using integrated primary and behavioral health care (IPBH) compared with treatment‐as‐usual approaches for adult patients with substance use. The impact of IPBH was limited.     

Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson’s disease

An accurate diagnosis of Parkinson’s disease by specialists involves many neurological, psychological and physical examinations. The specialists investigate a number of symptoms and signs when examining the nervous system conditions of a person. The diagnosis involves reviewing the medical history and genetic factor of the person. The recent diagnosis methodology to Parkinson’s disease relies on voice disorders analysis. This methodology entails extracting feature sets of a recorded person’s voice then utilizing a machine learning technique to identify the healthy and Parkinson’s cases from the voice. This paper attempts to improve the diagnoses of Parkinson’s disease by testing multiple feature evaluation and classification machine learning methods based on the voice disorders analysis. The aim of this paper is to find the optimal solution to the problem by (i) proposing a new Multiple Feature Evaluation Approach (MFEA) of a multi-agent system (ii) implementing five independent classification schemas which are Decision Tree, Naïve Bayes, Neural Network, Random Forests, and Support Vector Machine on the Parkinson’s diagnosis before and after applying the MFEA, and (iii) evaluating the diagnosis accuracy of the results. The methodology of the tests encompasses 10-fold cross-validation to evaluate the learning of methods and track variation in their performance. The test results show that the MFEA of the multi-agent system finds the best set of features and improves the performance of the classifiers. The average rate of improvement in the diagnostic accuracy of the classifiers are Decision Tree 10.51%, Naïve Bayes 15.22%, Neural Network 9.19%, Random Forests 12.75%, and Support Vector Machine 9.13%. These results show that the MFEA makes a significant improvement to the classifiers’ diagnosis results.     

大学生社会排斥对社交焦虑的影响：负面评价恐惧与人际信任的作用

为探讨大学生社会排斥对社交焦虑的影响以及负面评价恐惧和人际信任在二者之间的作用机制,研究采用大学生社会排斥问卷（SEQU）、社交焦虑量表（SASSCS）、负面评价恐惧量表（BFNES）及人际信任量表（ITS）对450名大学生进行测试。结果表明：（1）大学生社会排斥不仅对个体的社交焦虑水平产生影响,还会通过负面评价恐惧的中介作用对社交焦虑产生影响;（2）人际信任能够调节大学生社会排斥对社交焦虑的直接作用,具体而言,与高人际信任的大学生相比较,较低人际信任的大学生的社会排斥对社交焦虑的预测作用更加显著。     

多目标追踪在各类人群评价与训练中的应用

多目标追踪范式主要用来探讨动态情景下对多个目标的视觉注意和记忆加工过程, 早期研究侧重于追踪过程中的影响因素及加工机制。近年来, 越来越多的研究应用多目标追踪范式对各类人群进行评价与训练, 包括儿童、老年人、神经发育障碍患者、驾驶员、运动员、电子游戏玩家以及一些其他职业群体。总体来看, 多目标追踪表现越好, 在复杂快速的动态情境中的专业表现越好; 反之, 多目标追踪表现差, 标志着认知功能可能发育不成熟或出现衰退。并且, 多目标追踪还可作为认知训练的手段, 改善老年人和神经发育障碍患者的认知功能, 提高各职业人群的专业表现。未来, 多目标追踪作为评价和训练的方法还有很大的发展空间, 包括加强特殊职业人群的模拟训练, 扩展目标人群, 结合立体视觉和真实场景, 结合身体活动, 探索多人合作的多目标追踪, 拓展用于进行情绪和社会功能的评价与训练等。     

A computational analysis of general intelligence tests for evaluating cognitive development

The progression in several cognitive tests for the same subjects at different ages provides valuable information about their cognitive development. One question that has caught recent interest is whether the same approach can be used to assess the cognitive development of artificial systems. In particular, can we assess whether the ‘fluid’ or ‘crystallised’ intelligence of an artificial cognitive system is changing during its cognitive development as a result of acquiring more concepts? In this paper, we address several IQ tests problems (odd-one-out problems, Raven’s Progressive Matrices and Thurstone’s letter series) with a general learning system that is not particularly designed on purpose to solve intelligence tests. The goal is to better understand the role of the basic cognitive operational constructs (such as identity, difference, order, counting, logic, etc.) that are needed to solve these intelligence test problems and serve as a proof-of-concept for evaluation in other developmental problems. From here, we gain some insights into the characteristics and usefulness of these tests and how careful we need to be when applying human test problems to assess the abilities and cognitive development of robots and other artificial cognitive systems.