Bidirectional feature selection with global and local structure preservation for small size samples

Collecting samples is a challenging task for face recognition, especially for some real-world applications such as law enhancement and ID card identification, where there is usually single sample per person (SSPS) used to train a face recognition system. To extract discriminative features from the small size samples, in this paper we propose virtual samples via bidirectional feature selection with global and local structure preservation (VS-BFS-GL) to augment the number of training samples. In VS-BFS-GL, bidirectional feature selection is developed, which introduces L_2,1 norm to explore the face variations from both horizontal and vertical directions. Further, to include more variations in the virtual images, the global structure information and sample-specified local structure information of the SSPP training set are considered. By integrating bidirectional feature selection, global and local structure, the limited training samples are fully utilized and more knowledge are mined. To further improve the effectiveness of VS-BFS-GL, an auxiliary database containing different face variations can be used to explore the local structure information. We extensively evaluated the proposed approach on AR and FERET database. The promising recognition results demonstrate that VS-BFS-GL is robust to expression, pose and partial occlusion variations in the faces.     

Metaphorical sense-making: visual-narrative language portraits of South African students

This article reflects on a creative visual-narrative approach to understanding South African students’ lived experiences of languages. Data were collected in two interviews: the first entailing a biographical history and the drawing of a linguistic portrait on a simple body outline and the second a narrative interview utilising the portrait generated in the first as a basis for talking about language and identity. Framing the research process in this creative visual mode shifts the focus of narrative talk, simultaneously grounding it in affective, embodied experience, and enabling a reflexive position from which to analyse the taken-for-granted role of language in the minutiae of everyday life. The theoretical lenses of identity and subjectivity are invigorated through these metaphorical representations, and new creative possibilities are released for analysing the role of language in mediating shifting power dynamics in post-apartheid and postcolonial South African life.     

Emotional reactivity to daily events in youth with anxiety disorders

Background: Although research supports associations between anxiety and emotional reactivity in adults (Cisler, J. M., Olatunji, B. O., Feldner, M. T., &; Forsyth, J. P. (2010). Emotion regulation and the anxiety disorders: an integrative review. Journal of Psychopathology and Behavioral Assessment, 32(1), 68–82.), few studies have examined emotional reactivity in anxious youth (e.g., Carthy et al., 2010; Tan, P. Z., Forbes, E. E., Dahl, R. E., Ryan, N. D., Siegle, G. J., Ladouceur, C. D., &; Silk, J. S. (2012). Emotional reactivity and regulation in anxious and nonanxious youth: a cell-phone ecological momentary assessment study. Journal of Child Psychology and Psychiatry, 53(2), 197–206.). Methods: Using daily diary methodology, this study examined both negative affect (NA) and positive affect (PA) reactivity to daily events in youth diagnosed with anxiety (N?=?68; 60% female; 78% non-Hispanic White; M age?=?11.18 years, SD?=?3.17). We also examined whether parent-reported emotion regulation would predict emotional reactivity. Results: Participants reported more NA on days they experienced more negative parent and teacher events and less PA on days that they experienced more negative peer events. Additionally, better emotion regulation was associated with less NA reactivity to negative teacher events and to both negative and positive academic events. Conclusions: Interpersonal events have a salient effect on daily affect for anxious youth. Youth anxiety therapists should target emotion regulation associated with negative events involving adults and address barriers to developing and maintaining positive peer relationships.     

多级评分项目的多维CAT选题策略开发

本研究开发了两种新的适用于多级评分项目的多维计算机化自适应测验（PMCAT）的选题策略——修正的连续熵（RCEM）和修正的后验期望KL信息（MKB）方法,并与以往PMCAT的选题策略进行了对比研究。Monte Carlo实验结果表明：两种新开发的选题策略比原方法估计精度更高,并且RCEM方法在所有选题策略中曝光率最低。新开发的选题策略具有较理想的估计精度和曝光控制效果,为PMCAT在实践中的应用提供了新的方法支持。     

Women’s hair as a cue to desired relationship and parenting characteristics

We investigated how women’s hair color (blond, brown, black) and length (short, medium, long) influences males’ judgments about the women’s age, health, physical attractiveness, relationship potential, and parenting capability. Results, which are generally consistent with evolutionary psychology approaches, indicate that hair color and, to a lesser extent, length can affect perceptions of personal characteristics. More specifically, we found that lighter hair (blond and brown) compared to darker hair (black) is generally associated with perceptions of youth, health and attractiveness, and generally leads to more positive perceptions of relationship and parenting potential. Furthermore, the relationships between variables suggest that characteristics directly related to reproductive potential may be inferred from more obvious indirect characteristics. These results suggest that males are able to make complex judgments about women concerning their desirable relationship and parenting potential based on discernable characteristics such as hair color and length.     

Prospective Elementary Teachers Learning to Reason Flexibly with Sums and Differences: Number Sense Development Viewed Through the Lens of Collective Activity

I present a viable learning trajectory for prospective elementary teachers’ number sense development with a focus on whole-number place value, addition, and subtraction. I document a chronology of classroom mathematical practices in a Number and Operations course. The findings provide insights into prospective elementary teachers’ number sense development. These include the role of standard algorithms and their relationship to the evolution of classroom mathematical practices that involve reasoning flexibly about number composition, sums, and differences.     

Discounting model selection with area‐based measures: A case for numerical integration

A novel method for analyzing delay discounting data is proposed. This newer metric, a model‐based Area Under Curve (AUC) combining approximate Bayesian model selection and numerical integration, was compared to the point‐based AUC methods developed by Myerson, Green, and Warusawitharana (2001) and extended by Borges, Kuang, Milhorn, and Yi (2016). Using data from computer simulation and a published study, comparisons of these methods indicated that a model‐based form of AUC offered a more consistent and statistically robust measurement of area than provided by using point‐based methods alone. Beyond providing a form of AUC directly from a discounting model, numerical integration methods permitted a general calculation in cases when the Effective Delay 50 (ED50) measure could not be calculated. This allowed discounting model selection to proceed in conditions where data are traditionally more challenging to model and measure, a situation where point‐based AUC methods are often enlisted. Results from simulation and existing data indicated that numerical integration methods extended both the area‐based interpretation of delay discounting as well as the discounting model selection approach. Limitations of point‐based AUC as a first‐line analysis of discounting and additional extensions of discounting model selection were also discussed.     

An external review of the conclusions regarding the peak direct training module

Promoting the Emergence of Advanced Knowledge—Direct Training Module (PEAK‐DTM) is a commercially available assessment and curriculum for individuals whose language skills are not developmentally adequate. In their review of PEAK‐DTM, Reed and Luiselli (2016) analyzed the extant literature on PEAK‐DTM and concluded that it has a sound and growing body of empirical support on its efficacy, usability, and psychometric properties. Similar conclusions are mirrored in the PEAK‐DTM literature and promotional material. I review these conclusions and contend that many overrate the research that backs them. Suggestions for a more rigorous research agenda on PEAK‐DTM and its related modules are provided.     

Object-Tool-Actor Interaction: Object Information Drives Intended Action

Tool use is typically explored via actor-tool interactions. However, the target-object (that which is being acted on) may influence perceived action possibilities and thereby guide action. Three different tool-target-object pairings were tested (Experiment 1). The hammering action demonstrated the greatest sensitivity and therefore subsequently used to further investigate target-object pairings. The hammer was removed as an option and instructions were provided using pictorial (Experiment 2), written (Experiment 3), and both pictorial and written formats (Experiment 4). The designed tool is chosen when available (Experiment 1) and when removed as a choice (i.e., the hammer), participants perform the same action associated with the designed tool (i.e., hammering) regardless of instruction method (Experiments 2, 3, and 4).