A review of computational models of basic rule learning: The neural-symbolic debate and beyond

Psychonomic Bulletin & Review - We present a critical review of computational models of generalization of simple grammar-like rules, such as ABA and ABB. In particular, we focus on models...     

A reliable fast-operating door for small animal research

Described is a reliable and fast-operating door suitable for research with small animals. The primary operating control is a 60-rpm Hurst motor.     

Cognitive computing models for estimation of reference evapotranspiration: A review

Irrigation practices can be advanced by the aid of cognitive computing models. Repeated droughts, population expansion and the impact of global warming collectively impose rigorous restrictions over irrigation practices. Reference evapotranspiration (ET₀) is a vital factor to predict the crop water requirements based on climate data. There are many techniques available for the prediction of ET₀. An efficient ET₀ prediction model plays an important role in irrigation system to increase water productivity. In the present study, a review has been carried out over cognitive computing models used for the estimation of ET₀. Review exhibits that artificial neural network (ANN) approach outperforms support vector machine (SVM) and genetic programming (GP). Second order neural network (SONN) is the most promising approach among ANN models.     

Dyadic longitudinal models: A critical review

In this review, we discuss the most commonly used models to analyze dyadic longitudinal data. We start the review with a definition of dyadic longitudinal data that allows relationship researchers to identify when these models might be appropriate. Then, we go on to describe the three major models commonly used when one has dyadic longitudinal data: the dyadic growth curve model (DGCM), the actor–partner interdependence model (APIM), and the common fate growth model (CFGM). We discuss when each model might be used and strengths and weaknesses of each model. We end with additional thoughts that focus on extensions to new methods being discussed in the literature, along with some of the challenges of collecting and analyzing dyadic longitudinal data that might be helpful for future dyadic researchers.     

Social conditions for human happiness: A review of research

Empirical research on happiness took off in the 1970s and accelerated after the emergence of positive psychology by 2000. Today this has resulted in some 23,000 research findings. In this article, I take stock of the findings on social conditions for happiness and distinguish between conditions at the macro level of society, the meso level of organisations and the micro level of individual conditions. A new review technique is applied, an online findings archive is used, in which research findings on happiness are described in a uniform way and sorted by subject.     

Ministerial effectiveness: A review of recent research

Effectiveness of ministers is difficult to measure. Ideally, the goal would be to find out if they have been helpful in reconciling people to God and to each other. However, these criteria can only be assessed indirectly. This essay proposes a model of effectiveness and reviews several studies designed to assess one or more of its facets. Although results are only somewhat conclusive, the methods are promising and future research on this foundation is indicated.     

计算精神病学：抑郁症研究和临床应用的新视角

抑郁症是一种复杂而异质的精神疾病, 给全球带来沉重的疾病负担。尽管基于症状学的诊断方法已被广泛应用于各领域, 但这种方法并不利于病理机制的探讨。另外, 该诊断方法预测效度较低, 导致其难以准确评估和比较各种治疗方案的疗效。计算精神病学方法则能通过理论驱动和数据驱动两种互补的方法解决上述问题, 从而提高对抑郁症的认识、预防和治疗。理论驱动方法基于经验知识或假设, 利用计算建模方法对数据进行多水平分析; 数据驱动方法则基于机器学习算法分析高维数据, 提高抑郁症诊断和预测的准确性, 进而提高治疗的精准度。理论驱动和数据驱动方法的发展与结合, 以及人才和资源的整合, 将会更有效地推进抑郁症的防治。     

Kleptomania: a review of the research.

Research on kleptomania is limited. Earlier views and recent reports of treatment are reviewed in this article. More study is needed to delineate this impulse-control disorder.     

Intelligence scales for the blind: A review with implications for research

The verbal section of the Wechsler Intelligence Scale for Children (WISC) has become a frequently used assessment device and research tool with blind children. This article reviews and critiques studies involving the WISC with samples of blind subjects. Discussion focuses on reliability, validity, and research strategy. Recommendations and suggestions for further research place emphasis upon experimental analysis of behavior.     

Civil commitment: A review of empirical research

This article presents a comprehensive review of empirical micro-level research which has attempted to evaluate changes in civil commitment law in the United States. It groups studies by category of the general question they address: Who are being processed through civil commitment and who are being committed? How dangerous are civil commitment candidates on admission, in the hospital, and after release? To what extent are court officers adhering to procedural protections in form and in intent? To what extent have restrictive criteria influenced the behavior of medical professionals in processing individuals through civil commitment? and What happens to individuals after their civil commitment experience and their involuntary hospitalization? The article points to needed research and concludes by summarizing existing research from the perspective of finding a balance between civil liverty and benevolence.