Evaluating the Efficacy of and Preference for Interactive Computer Training with Student-Generated Examples.

Designing effective and preferred teaching practices for undergraduate students are common goals in behavior analytic training programs. A preliminary study by Nava et al. (2019) showed that undergraduate students generally rated peer-generated examples of the principles of behavior analysis as more preferred, relatable, and culturally responsive than traditional textbook examples.

Effect of ketamine on anxiety: findings from the Ketamine for Adult Depression Study.

Background: Anxiety disorders and treatment-resistant major depressive disorder (TRD) are often comorbid. Studies suggest ketamine has anxiolytic and antidepressant properties.

Aims: To investigate if subcutaneous racemic ketamine, delivered twice weekly for 4 weeks, reduces anxiety in people with TRD.

Nanopore sequencing as a novel method of characterising anorexia nervosa risk loci.

Background: Anorexia nervosa (AN) is a polygenic, severe metabopsychiatric disorder with poorly understood aetiology. Eight significant loci have been identified by genome-wide association studies (GWAS) and single nucleotide polymorphism (SNP)-based heritability was estimated to be ~ 11-17, yet causal variants remain elusive. It is therefore important to define the full spectrum of genetic variants in the wider regions surrounding these significantly associated loci.

Feasibility of using an artificially intelligent chatbot to increase access to information and sexual and reproductive health services.

Background: Following the US Supreme Court decision overturning Roe v. Wade, there is evidence of limitations in access to safe abortion care. Artificially intelligent (AI)-enabled conversational chatbots are becoming an appealing option to support access to care, but generative AI systems can misinform and hallucinate and risk reinforcing problematic bias and stigma related to sexual and reproductive healthcare.

Utilizing network analysis to identify core items of quality of life for children with autism spectrum disorder.

The purpose of this study was to develop and validate an ultra-short scale called the Quality of Life for Children with Autism Spectrum Disorder 3 (QOLASD-C3) from the full 16-item QOLASD-C scale. We first used network analysis to identify three core items to be retained on the QOLASD-C3 scale. Second, we used Cronbach's alpha and Pearson Product Moment correlations to determine the reliability and validity of the scale.