Singular neutrosophic extended triplet groups and generalized groups

Neutrosophic extended triplet group (NETG) is an interesting extension of the concept of classical group, which can be used to express general symmetry. This paper further studies the structural characterizations of NETG. First, some examples are given to show that some results in literature are false. Second, the differences between generalized groups and neutrosophic extended triplet groups are investigated in detail. Third, the notion of singular neutrosophic extended triplet group (SNETG) is introduced, and some homomorphism properties are discussed and a Lagrange-like theorem for finite SNETG is proved. Finally, the following important result is proved: a semigroup is a singular neutrosophic extended triplet group (SNETG) if and only if it is a generalized group.     

Team situation awareness within the context of human-autonomy teaming

Effective team communication, a fundamental part of team coordination, is crucial for both effective Team Situation Awareness (TSA) and team performance. In this study, we looked at the role that team interaction (i.e., more specifically team verbal behaviors) played in TSA and team performance in order to better understand Human-Autonomy Teaming (HAT). We first analyzed team verbal behaviors (i.e., pushing and pulling information) across conditions of human-autonomy teams and human-human teams, and then analyzed their relationship with TSA and team performance via Growth Curve Modelling (GCM). Good teamwork involves anticipating the needs of teammates and that means pushing information before it is requested. Therefore, if things are going well, there should be little need for pulling information. In this study’s task, participants were instructed to push information to others, and over time master the specific timing of information sharing to the intended recipient. Findings indicate that pushing information was positively associated with TSA and team performance, and human-autonomy teams had lower levels of both pushing and pulling information than all-human teams. Through this study, we have learned that anticipation of other team member behaviors and information requirements in human-autonomy teams are important for effective TSA and team performance. In order to make HAT more effective in terms of teamwork, we need to develop mechanisms to enhance pushing information within HAT.     

Child Characteristics,Parent Education and Depressive Symptoms,and Marital Conflict Predicting Trajectories of Parenting Behavior from Childhood Through Early Adolescence in Taiwan

The study examined how child and parent characteristics, and contextual sources of stress, such as marital conflict predict initial status and trajectories of parent involvement, support, and harsh control, over a 4‐year period in families in Taiwan (n = 4,754). Based on Belsky's (1984) ecological model of parenting, three domains predicting parenting were tested, child characteristics (age cohort and gender), father and mother characteristics (education and depressive symptoms), and contextual sources of stress (marital conflict). The study followed two cohorts of children; the younger cohort was followed from first to fourth grade and the older cohort from fourth to seventh grade. Initially, fourth graders reported more parental involvement, support, and harsh control than first graders. However, involvement, support, and harsh control decreased across the 4 years for the older cohort as they transitioned to early adolescence. In the first year, girls reported more parental involvement and support and less harsh control than boys. Across the 4 years, involvement and support increased, and harsh control decreased for boys; whereas involvement stayed the same, support slightly decreased, and harsh control slightly increased for girls. Children whose parents were more educated reported more parent involvement, support, and harsh control in the first year. Children whose fathers were chronically depressed and whose parents were experiencing marital conflict reported decreasing parent involvement and support over the years.     

Dealing with Big Numbers: Representation and Understanding of Magnitudes Outside of Human Experience

Being able to estimate quantity is important in everyday life and for success in the STEM disciplines. However, people have difficulty reasoning about magnitudes outside of human perception (e.g., nanoseconds, geologic time). This study examines patterns of estimation errors across temporal and spatial magnitudes at large scales. We evaluated the effectiveness of hierarchical alignment in improving estimations, and transfer across dimensions. The activity was successful in increasing accuracy for temporal and spatial magnitudes, and learning transferred to the estimation of numeric magnitudes associated with events and objects. However, there were also a number of informative differences in performance on temporal, spatial, and numeric magnitude measures, suggesting that participants possess different categorical information for these scales. Educational implications are discussed.     

Role models in career development: New directions for theory and research

Career theory proposes the importance of role models as helping to guide individual development. Furthermore, the media often depict role models as essential to career success. However, research on role models as a construct distinct from developmental relationships with mentors and behavioral models has waned. This article makes the case for reinvigorating the role model construct. A revised definition is provided, depicting role models as cognitive constructions based on an individual’s needs, wants, and ambitions. Drawing on recent advances in social comparison and self-concept theories, a dimensional approach to role models integrates current theory and research, suggesting that role models should be construed along two cognitive dimensions (positive/negative, global/specific), and two structural dimensions (close/distant, up/across-down). The article concludes by suggesting new research directions prompted by this new view of the role model construct.     

A Multivariate Associative Finite Growth Mixture Modeling Approach Examining Adolescent Alcohol and Marijuana Use

Theoretical and empirical substance use development research suggests that adolescent populations are not homogenous and can often be separated into subpopulations characterized by qualitatively different patterns of substance use development. This paper demonstrates the application of a multivariate associative finite latent growth mixture modelling approach to examine heterogeneity in patterns of adolescent alcohol and marijuana use and the influence of age, gender, parent, and peer substance use. Substance use problem outcomes were also examined. Participants were male and female adolescents (N = 1,044) ranging in age from 11 to 17 years at the first assessment (Mean age = 14.47; SD = 1.95). Individuals were 45% female and 82% Caucasian. Using growth mixture methodology, a 7-class model captured distinct simultaneous alcohol and marijuana use patterns over a 3-year period. Findings highlight the importance of examining subgroups of adolescent substance use, rather than focusing only on single samples.     

Restructuring partitioned knowledge: the role of recoordination in category learning

Knowledge restructuring refers to changes in the strategy with which people solve a given problem. Two types of knowledge restructuring are supported by existing category learning models. The first is a relearning process, which involves incremental updating of knowledge as learning progresses. The second is a recoordination process, which involves novel changes in the way existing knowledge is applied to the task. Whereas relearning is supported by both single- and multiple-module models of category learning, only multiple-module models support recoordination. To date, only relearning has been directly supported empirically. We report two category learning experiments that provide direct evidence of recoordination. People can fluidly alternate between different categorization strategies, and moreover, can reinstate an old strategy even after prolonged use of an alternative. The knowledge restructuring data are not well fit by a single-module model (ALCOVE). By contrast, a multiple-module model (ATRIUM) quantitatively accounts for recoordination. Low-level changes in the distribution of dimensional attention are shown to subsequently affect how ATRIUM coordinates its modular knowledge. We argue that learning about complex tasks occurs at the level of the partial knowledge elements used to generate a response strategy.     

Implicit theories of intelligence and IQ test performance in adolescents with Generalized Anxiety Disorder

During the past decade, several studies have reported positive effects of cognitive-behavioral therapy (CBT) in the treatment of children and adolescents with mental disorders. One of the most important CBT interventions is to teach children and adolescents to challenge negative thoughts that lead to maladjusted behaviors. Based on the implicit theories of intelligence framework, the main purpose of this study was to test whether an incremental theory manipulation could be used to affect IQ test performance in adolescents with Generalized Anxiety Disorder (GAD). Results showed that patients demonstrated enhanced IQ performance and experienced less state anxiety when they were exposed to an incremental theory of intelligence manipulation. Our findings suggest that incremental theory manipulation provides a useful cognitive strategy for addressing school-related anxiety in adolescents with mental disorders such as GAD.     

A colorful walk, but is it on the mental number line? Reply to Cohen Kadosh, Tzelgov, and Henik

Cohen Kadosh, Tzelgov, and Henik [Cohen Kadosh, R., Tzelgov, J., and Henik, A. (2008). A synesthetic walk on the number line: The size effect. Cognition, 106, 548-557] present a new paradigm to probe properties of the mental number line. They describe two experiments which they argue to be inconsistent with the exact small number model proposed by Verguts, Fias, and Stevens [Verguts, T., Fias, W., Stevens, M. (2005). A model of exact small-number representation. Psychonomic Bulletin and Review, 12, 66-80]. We discuss the data, assumptions, and conclusions of Cohen Kadosh et al.'s paper in relation to existing models of numerical cognition.     

Using relational structure to detect symmetry: a Voronoi tessellation based model of symmetry perception

Numerous models of symmetry perception have been proposed in recent years. Unfortunately, it is difficult to assess the relative utility of these models as little effort has been made to directly compare them. This paper outlines a new model of symmetry perception based upon the relational structure revealed by Voronoi tessellation. The model has been developed in response to evidence suggesting that the human visual system is generating a Voronoi-like representation at an early stage in processing. Bayesian model selection is employed to compare the performance of the Voronoi model to that of five previously published models across six empirical datasets. The results indicate that the Voronoi model provides a more likely account of the data than the five alternative models.