Automated cognitive testing of monkeys in social groups yields results comparable to individual laboratory-based testing

Cognitive abilities likely evolved in response to specific environmental and social challenges and are therefore expected to be specialized for the life history of each species. Specialized cognitive abilities may be most readily engaged under conditions that approximate the natural environment of the species being studied. While naturalistic environments might therefore have advantages over laboratory settings for cognitive research, it is difficult to conduct certain types of cognitive tests in these settings. We implemented methods for automated cognitive testing of monkeys (Macaca mulatta) in large social groups (Field station) and compared the performance to that of laboratory-housed monkeys (Laboratory). The Field station animals shared access to four touch-screen computers in a large naturalistic social group. Each Field station subject had an RFID chip implanted in each arm for computerized identification and individualized assignment of cognitive tests. The Laboratory group was housed and tested in a typical laboratory setting, with individual access to testing computers in their home cages. Monkeys in both groups voluntarily participated at their own pace for food rewards. We evaluated performance in two visual psychophysics tests, a perceptual classification test, a transitive inference test, and a delayed matching-to-sample memory test. Despite the differences in housing, social environment, age, and sex, monkeys in the two groups performed similarly in all tests. Semi-free ranging monkeys living in complex social environments are therefore viable subjects for cognitive testing designed to take advantage of the unique affordances of naturalistic testing environments.     

Y's Girl: Increasing body satisfaction among primary school girls

To date, effective body image interventions for preadolescent school girls are lacking. The present study sought to evaluate the effectiveness of Y's Girl, a published body image curriculum specifically tailored for preadolescent school girls. A sample of 60 Grade 6 girls with a mean age of 11.25 (range of 11–12) years were allocated either to an intervention or control group and completed baseline and posttest measures of body image, thin-ideal internalization, body comparison, self-esteem, peer factors, and disordered eating. Findings revealed that, compared to the control group, girls receiving the intervention reported improved body image, thin-ideal internalization, body comparisons, and self-esteem at posttest 1 week after the intervention ended. Furthermore, changes in body satisfaction were moderated by initial levels of risk-factors. These findings provide initial support for Y's Girl as an effective, affordable body image intervention for preadolescent girls which can be implemented by teachers.     

SCIENCE MEETS BIBLICAL EXEGESIS IN THE GALILEO AFFAIR

Abstract Although Galileo's venture into theology, as discussed by McMullin, is limited to Galileo's exegesis of Scripture, it can be seen as an important element in a broader role in theology, namely in ecclesiology and in the development of doctrine. From the Council of Trent, the Reformation Council, until today there has been a development in the Church concerning the manner in which Sacred Scripture should be interpreted and as to whether it can be said to be in conflict with our scientific knowledge of nature. Galileo made a significant contribution to this development. With his telescopic observations he was, in fact, undermining the prevailing Aristotelian natural philosophy of his day and was defending the birth of modern science against a mistaken view of Scripture. The Church of his time was not prepared to accept his contribution to this theological development. What does this history have to contribute to the challenges we face today in the interactions between science and religious belief?     

Predictors of exercise program participation in older women

Abstract

This study examined predictors of exercise program participation in females aged 60 to 89 years of age. Fifty-five exercise program participants and 50 non-exercising subjects were assessed on potential group predictor variables. Univariate analyses indicated that the Exercise compared to the Non-Exercise group had a stronger belief that they did not receive enough exercise in their everyday lives and in the health value of exercise, greater self-efficacy and enjoyment of exercise, and less physical discomfort associated with exercise. The Exercise group perceived exercise programs to be more available and greater family support to participate. Medical advice to exercise and exercise history did not differ significantly between groups. A logistic regression analysis indicated that of the variables assessed, belief that one is not receiving enough exercise in daily life and exercise availability were the most powerful predictors of exercise group membership. The implications of these findings for the promotion of exercise in older women are discussed.     

Old Testament and Church Ministries in Two Ecumenical Dialogues

Abstract: To understand any church institution as founded by Jesus, one must take account of its relationship to his work of bringing the Old Testament revelation and its institutions to their eschatological realization. A sample of the work of recent ecumenical dialogues (BEM and the international Lutheran– Roman Catholic document on church and justification) shows that their discussions of church institutions have failed to do this adequately. This failure has complicated the efforts at unity to which these dialogues intend to contribute. Attention to the Old Testament roots of church institutions can help ecumenical ecclesiology to focus better on some important issues.     

Finding the traces of behavioral and cognitive processes in big data and naturally occurring datasets

Today, people generate and store more data than ever before as they interact with both real and virtual environments. These digital traces of behavior and cognition offer cognitive scientists and psychologists an unprecedented opportunity to test theories outside the laboratory. Despite general excitement about big data and naturally occurring datasets among researchers, three “gaps” stand in the way of their wider adoption in theory-driven research: the imagination gap, the skills gap, and the culture gap. We outline an approach to bridging these three gaps while respecting our responsibilities to the public as participants in and consumers of the resulting research. To that end, we introduce Data on the Mind (http://www.dataonthemind.org), a community-focused initiative aimed at meeting the unprecedented challenges and opportunities of theory-driven research with big data and naturally occurring datasets. We argue that big data and naturally occurring datasets are most powerfully used to supplement—not supplant—traditional experimental paradigms in order to understand human behavior and cognition, and we highlight emerging ethical issues related to the collection, sharing, and use of these powerful datasets.     

When Categorization Is Ambiguous: Factors That Facilitate the Use of a Multiple Category Inference Strategy

Prior research has established that categorization plays a central role in new product learning. Very little is known, however, about category‐based learning under conditions of categorization ambiguity. Of particular interest is whether and under what circumstances consumers might employ a multiple‐ (vs. single‐) category strategy to generate inferences about ambiguous products. In this research, we identified 2 factors—category familiarity and the nature of the category cue—that are responsible for determining whether inferences are based on a single category or multiple, competing categories. The results of 3 studies suggest that when an ambiguous product is described in terms of conflicting conceptual and perceptual category cues, a single category inference strategy is employed when the perceptually cued category is more familiar than the conceptually cued category. In particular, inferences are based largely on the perceptually cued category under these circumstances. However, when the perceptually cued category is less than or equal to the conceptually cued category in familiarity, a multiple category inference strategy is employed and inferences are based on both the perceptually and conceptually cued categories.