The current research used grounded theory methodology (GTM) to construct a conceptualization of personal knowledge within a knowledge management (KM) perspective. The need for the current research was based on the use of just two categories of knowledge, explicit and tacit, within KM literature to explain diverse characteristics of personal…

One important function of categories is to permit rich inductive inferences. Prior work shows that children use category labels to guide their inductive inferences. However, there are competing theories to explain this phenomenon, differing in the roles attributed to conceptual information vs. perceptual similarity. Seven experiments with 4- to…

The purpose of the present study was to re-examine diagnostic data from a state-wide autism prevalence study (n = 489) conducted in the 1980s to investigate the impact of broader diagnostic criteria on autism spectrum disorder (ASD) case status. Sixty-four (59%) of the 108 originally "Diagnosed Not Autistic" met the current ASD case definition.…

Though the number of interdisciplinary undergraduate programs has increased rapidly over the past several decades, little empirical research has characterized such programs. In this article we report on our investigation of the characteristics of interdisciplinary programs and develop typologies to describe the multiple ways in which such programs…

We analyzed stimulus class formation in a human study and in a connectionist model (CM) with a yes/no procedure, using compound stimuli. In the human study, the participants were six female undergraduate students; the CM was a feed-forward back-propagation network. Two 3-member stimulus classes were trained with a similar procedure in both the…

Rapid advances in data-rich domains of science, technology, and business has amplified the computational challenges of "Big Data" synthesis necessary to slow the widening gap between the rate at which the data is being collected and analyzed for knowledge. This has led to the renewed need for efficient and accurate algorithms, framework,…

With the rapid development of the Internet, nowadays tremendous amounts of data including images and videos, up to millions or billions, can be collected for training machine learning models. Inspired by this trend, this thesis is dedicated to developing large-scale machine learning techniques for the purpose of making classification and nearest…

The evaluative priming effect (i.e., faster target responses following evaluatively congruent compared with evaluatively incongruent primes) in nonevaluative priming tasks (such as naming or semantic categorization tasks) is considered important for the question of how evaluative connotations are represented in memory. However, the empirical…

Employing the political construct of "target" populations, we suggest that the Boomers in old age will constitute a conceptually distinct population from that represented by either their parents or grandparents. A fourfold typology organized along the dimensions posited by Schneider and Ingram (1993) yields categorizations of target populations as…

This article will explore the current evolution in the practice of cohabitation. The intent of this literature- and web-based article is to acquaint counselors with three typologies of cohabitation. These categories can be utilized in the development of psychoeducational and remedial interventions and in the identification of areas of future…

Background: The International Classification of Functioning, Disability and Health (ICF), and its version for children and youth (ICF-CY), has been increasingly adopted as a system to describe function and disability. A content analysis of the Vineland Adaptive Behavior Scales-II (VABS-II) was conducted to examine congruence with the functioning…

Vanpaemel and Lee (2012) argued, and we agree, that the comparison of formal models can be facilitated by Bayesian methods. However, Bayesian methods neither precede nor supplant our proposals (Wills & Pothos, 2012), as Bayesian methods can be applied both to our proposals and to their polar opposites. Furthermore, the use of Bayesian methods to…

Purpose: The authors present 3 methods of performing pattern recognition on spatiotemporal plots produced by pharyngeal high-resolution manometry (HRM). Method: Classification models, including the artificial neural networks (ANNs) multilayer perceptron (MLP) and learning vector quantization (LVQ), as well as support vector machines (SVM), were…

The scientific performance of 64 political science, sociology and marketing departments in Romania is investigated with the aid of the "g"-index. The assessment of departments based on the "g"-index shows, within each of the three types of departments that make up the population of the study, a strong polarisation between top…

Transferring from elementary to secondary school can be difficult for many children, and students making this transition often suffer from anxiety and stress. One source of stress can be found in the scary stories transitioning pupils hear about their new schools, particularly those about physical education and sport. The purpose of this study was…