Enhancing law enforcement identification and investigation of child maltreatment

OBJECTIVE: Data from two independent studies is presented, representing the investigators' ongoing work with faculty from a state criminal justice academy to analyze existing knowledge and skill levels among veteran law enforcement officers and recruits, as well as to enhance future training. METHOD: Through an anonymous questionnaire, the first of these studies examined officers' perceptions of maltreatment, including those factors that do and do not influence a determination of whether a particular act constitutes child maltreatment and assessments of whether particular acts constitute abuse or neglect. The second study also utilized an anonymous questionnaire to examine officers' knowledge of the developmental strengths and limitations of children relative to their ability to provide accurate information in suspected cases of child maltreatment. RESULTS: As hypothesized, several gaps both in law enforcement officers' knowledge of certain characteristics that can serve to denote a case of maltreatment and their knowledge of fundamental developmental issues and interview techniques that could assist them in the performance of their professional duties are identified. CONCLUSIONS: Suggestions for enhanced law enforcement training programs are presented and discussed.     

Relative Importance of the Institute of Food Technologists (IFT) Core Competencies—A Case Study Survey

ABSTRACT: Nearly 90% of graduating seniors from the Food Science program at Purdue University gain employment in the food industry. Ensuring the program is meeting employers' needs is one mission of our curriculum committee with input from an Industrial Advisory Board (IAB). In light of the recent outcomes-based assessment requirements outlined by IFT, feedback from our IAB members regarding the relative importance of the core competencies was needed. The objective of this study was to survey the IAB members regarding relative importance of each of the 46 core competencies. Each competency was ranked using a Likert scale from 1 = not important to 5 = very important. Statistical analysis was conducted using the Mann-Whitney nonparametric test. Significant differences (P = 0.05) were found between several of the five content categories with Success Skills scoring highest (4.35 out of 5) on relative importance followed by Applied Food Science Knowledge (4.02 out of 5). Also, significant differences (P = 0.05) were found between competencies within each content category. Overall, the results suggest that the 46 core competencies should not be given the same instructional weight within a curriculum. One option for addressing the variation in importance could be to include some planned redundancy within the curriculum for those core competencies that were ranked the highest. In addition, part of the outcomes-based assessment process should include measures of the level of competency being achieved by graduates. By considering relative importance and competency achieved by graduates, important areas for improvement can be identified.     

Accumbens D2: Raters of the Loss Outcome

Zalocusky et al. (Nature 531:642–646, 2016) recently showed that activity in D2R+ cells in the nucleus accumbens is associated with loss sensitivity to prior outcomes and reduced subsequent risky choice, and that optogenetic stimulation of these cells decreased risky choices in risk-prone rats. While their findings are important for understanding trait-level risk-taking, future research should aim to examine the neuronal mechanisms of a broader range of facets of gain and loss processing with respect to different potential reference points.     

Fractals and the large-scale structure in the Universe

During the last decade it has been argued by some investigators that the distribution of galaxies in the Universe is a fractal. This is contrary to the standard view that the Universe is homogeneous and isotropic on large scales. In this article, the basic concepts of fractals and their characterization are introduced with the help of simple examples. The applications of these concepts in the context of cosmology will be discussed in the second part. A K Mittal is currently a visiting scientist at Harish-Chandra Research Institute, Allahabad, on leave from the University of Allahabad. His research interests include chaos, fractals and their applications, partleularly in cosmology and in weather prodiction. T H Seshadri is at the Department of Physics and Astrophysics, University of Delhi. He is presently on lien from Harish-Chandra Research Institute, Allahabad. Areas of his interest include cosmic microwave background radiation, large scale structures in the Universe and application of fractals in these.     

Post-secondary Science Students’ Explanations of <Emphasis Type="Italic">Randomness</Emphasis> and <Emphasis Type="Italic">Variation</Emphasis> and Implications for Science Learning

The concepts of randomness and variation are pervasive in science. The purpose of this study was to document how post-secondary life science students explain randomness and variation, infer relationships between their explanations, and ability to describe and identify appropriate and inappropriate variation, and determine if students can identify sources of variation. An instrument designed to test statistical concepts was administered to 282 college students from three universities, ranging from introductory non-science majors to science graduate students. Students readily distinguished between causes of variation. A naïve no-pattern concept of randomness persisted from first-year non-science majors to senior-level science majors, contributing to incorrect responses on the variation instrument. Students’ expressions of randomness were better predictors of performance on the variation instrument than their expressions of variation. It is argued that inclusion of everyday language uses of randomness in instruction can bridge the gap between vernacular and scientific uses of this term.