Knowledge graphs have become a common approach for knowledge representation. Yet, the application of graph methodology is elusive due to the sheer number and complexity of knowledge sources. In addition, semantic incompatibilities hinder efforts to harmonize and integrate across these diverse sources. As part of The Biomedical Translator Consortium, we have developed a knowledge graph–based question-answering system designed to augment human reasoning and accelerate translational scientific discovery: the Translator system. We have applied the Translator system to answer biomedical questions in the context of a broad array of diseases and syndromes, including Fanconi anemia, primary ciliary dyskinesia, multiple sclerosis, and others. A variety of collaborative approaches have been used to research and develop the Translator system. One recent approach involved the establishment of a monthly “Question-of-the-Month (QotM) Challenge” series. Herein, we describe the structure of the QotM Challenge; the six challenges that have been conducted to date on drug-induced liver injury, cannabidiol toxicity, coronavirus infection, diabetes, psoriatic arthritis, and ATP1A3-related phenotypes; the scientific insights that have been gleaned during the challenges; and the technical issues that were identified over the course of the challenges and that can now be addressed to foster further development of the prototype Translator system. We close with a discussion on Large Language Models such as ChatGPT and highlight differences between those models and the Translator system.

Variations in pubertal timing and tempo have relevance to psychosocial development. Accounting for pubertal timing, tempo, and psychosocial development simultaneously in a model remains challenging. This study aimed to document the typology of pubertal development in a cohort of Taiwanese adolescent boys and then to examine how the associations between psychosocial variables across time vary by the patterns of pubertal development. A group of adolescent boys (n = 1,368) reported pubertal signs and psychosocial variables for 3 years since seventh grade. The growth mixture model revealed three major classes of pubertal transition: average pubertal growth, late-onset with rapid catch-up, and late-onset with slow catch-up. In a cross-lagged panel model, the multigroup analysis found the regression coefficients mostly invariant across all three classes, except those between deviant behavior and subsequent changes in depressive symptoms that were significantly positive only in the late-onset with slow catch-up group. Adolescent boys in this group were estimated to have the highest marginal level of depressive symptoms and deviant behavior in ninth grade among the three classes. Our study highlights the heterogeneity in boys’ pubertal development and the role of the pubertal development pattern in their psychosocial development.

We describe an ultra-wide-bandwidth, low-frequency receiver recently installed on the Parkes radio telescope. The receiver system provides continuous frequency coverage from 704 to 4032 MHz. For much of the band ( ${\sim}60\%$ ), the system temperature is approximately 22 K and the receiver system remains in a linear regime even in the presence of strong mobile phone transmissions. We discuss the scientific and technical aspects of the new receiver, including its astronomical objectives, as well as the feed, receiver, digitiser, and signal processor design. We describe the pipeline routines that form the archive-ready data products and how those data files can be accessed from the archives. The system performance is quantified, including the system noise and linearity, beam shape, antenna efficiency, polarisation calibration, and timing stability.