ChromaStarPy: A stellar atmosphere and spectrum modeling and visualization lab in python

We announce ChromaStarPy, an integrated general stellar atmospheric modeling and spectrum synthesis code written entirely in python V. 3. ChromaStarPy is a direct port of the ChromaStarServer (CSServ) Java modeling code described in earlier papers in this series, and many of the associated JavaScript (JS) post-processing procedures have been ported and incorporated into CSPy so that students have access to ready-made "data products". A python integrated development environment (IDE) allows a student in a more advanced course to experiment with the code and to graphically visualize intermediate and final results, ad hoc, as they are running it. CSPy allows students and researchers to compare modeled to observed spectra in the same IDE in which they are processing observational data, while having complete control over the stellar parameters affecting the synthetic spectra. We also take the opportunity to describe improvements that have been made to the related codes, ChromaStar (CS), CSServ and ChromaStarDB (CSDB) that, where relevant, have also been incorporated into CSPy. The application may be found at the home page of the OpenStars project: http://www.ap.smu.ca/~ishort/OpenStars/ .Comment: See DOI zenodo.1095687. Accepted for publication in The Astrophysical Journa

Does an athlete's anger differ by sport type and gender?

Anger is an emotion that is frequently associated with a bad reputation. Anger has proven to play an effective role in certain athletic achievements; however, it is unknown which sport and gender have the athletes whose performance is most influenced by anger. In this study, we administered the STAXI-2 to determine relationships between gender and levels of athlete anger in 156 British athletes across a range of contact and non-contact sports and competitive levels (from professional/Olympians to recreational). We investigated differences in levels of anger in relation to the sport they played. Although not statistically significant, the results indicated that male athletes scored higher in trait, expression-out, anger control-out, and overall anger index, but females scored higher in state anger. The findings revealed that athletes in contact sports have higher levels of trait anger, but non contact athletes have higher levels of state anger. This study’s findings imply that anger does not influence all athletes similarly because anger is subjective to persons and sports

Contingency Management: Dealing Abstinence from Methamphetamines

Presented at the 2022 Virtual Northwest Medical Research Symposiu

Health psychology training in the UK: an example from the first professional Doctorate in Health Psychology in Scotland

This short report briefly outlines the development and structure of a three-year stage 1 and 2 combined Health Psychology training route available in Scotland. It then goes on to showcase two short case studies from Trainee Health Psychologists (hereafter referred to as trainees) who have graduated from the programme to highlight the variety of approaches and contexts within which trainees work. We hope to have demonstrated how introducing a new route for health psychology training can offer opportunities for trainees to broaden their skill base and to learn with and from other applied psychology trainees

Ambiguity in guideline definitions introduces assessor bias and influences consistency in IUCN Red List status assessments

The IUCN Red List is the most widely used tool to measure extinction risk and report biodiversity trends. Accurate and standardized conservation status assessments for the IUCN Red List are limited by a lack of adequate information; and need consistent and unbiased interpretation of that information. Variable interpretation stems from a lack of quantified thresholds in certain areas of the Red List guidelines. Thus, even in situations with sufficient information to make a Red List assessment, inconsistency can occur when experts, especially from different regions, interpret the guidelines differently, thereby undermining the goals and credibility of the process. Assessors make assumptions depending on their level of Red List experience (subconscious bias) and their personal values or agendas (conscious bias). We highlight two major issues where such bias influences assessments: relating to fenced subpopulations that require intensive management; and defining benchmark geographic distributions and thus the inclusion/exclusion of introduced subpopulations. We suggest assessor bias can be reduced by refining the Red List guidelines to include quantified thresholds for when to include fenced/intensively managed subpopulations or subpopulations outside the benchmark distribution; publishing case studies of difficult assessments to enhance cohesion between Specialist Groups; developing an online accreditation course on applying Red List criteria as a prerequisite for assessors; and ensuring that assessments of species subject to trade and utilization are represented by all dissenting views (for example, both utilitarian and preservationist) and reviewed by relevant Specialist Groups. We believe these interventions would ensure consistent, reliable assessments of threatened species between regions and across assessors with divergent views, and will thus improve comparisons between taxa and counteract the use of Red List assessments as a tool to leverage applied agendas.University of Bangor, University of Pretoria, CIB, the Scientific Authority of the South African National Biodiversity Institute