Multicenter clinical trials are essential for evaluating interventions but often face significant challenges in study design, site coordination, participant recruitment, and regulatory compliance. To address these issues, the National Institutes of Health’s National Center for Advancing Translational Sciences established the Trial Innovation Network (TIN). The TIN offers a scientific consultation process, providing access to clinical trial and disease experts who provide input and recommendations throughout the trial’s duration, at no cost to investigators. This approach aims to improve trial design, accelerate implementation, foster interdisciplinary teamwork, and spur innovations that enhance multicenter trial quality and efficiency. The TIN leverages resources of the Clinical and Translational Science Awards (CTSA) program, complementing local capabilities at the investigator’s institution. The Initial Consultation process focuses on the study’s scientific premise, design, site development, recruitment and retention strategies, funding feasibility, and other support areas. As of 6/1/2024, the TIN has provided 431 Initial Consultations to increase efficiency and accelerate trial implementation by delivering customized support and tailored recommendations. Across a range of clinical trials, the TIN has developed standardized, streamlined, and adaptable processes. We describe these processes, provide operational metrics, and include a set of lessons learned for consideration by other trial support and innovation networks.

The stars of the Milky Way carry the chemical history of our Galaxy in their atmospheres as they journey through its vast expanse. Like barcodes, we can extract the chemical fingerprints of stars from high-resolution spectroscopy. The fourth data release (DR4) of the Galactic Archaeology with HERMES (GALAH) Survey, based on a decade of observations, provides the chemical abundances of up to 32 elements for 917 588 stars that also have exquisite astrometric data from the Gaia satellite. For the first time, these elements include life-essential nitrogen to complement carbon, and oxygen as well as more measurements of rare-earth elements critical to modern-life electronics, offering unparalleled insights into the chemical composition of the Milky Way. For this release, we use neural networks to simultaneously fit stellar parameters and abundances across the whole wavelength range, leveraging synthetic grids computed with Spectroscopy Made Easy. These grids account for atomic line formation in non-local thermodynamic equilibrium for 14 elements. In a two-iteration process, we first fit stellar labels to all 1 085 520 spectra, then co-add repeated observations and refine these labels using astrometric data from Gaia and 2MASS photometry, improving the accuracy and precision of stellar parameters and abundances. Our validation thoroughly assesses the reliability of spectroscopic measurements and highlights key caveats. GALAH DR4 represents yet another milestone in Galactic archaeology, combining detailed chemical compositions from multiple nucleosynthetic channels with kinematic information and age estimates. The resulting dataset, covering nearly a million stars, opens new avenues for understanding not only the chemical and dynamical history of the Milky Way but also the broader questions of the origin of elements and the evolution of planets, stars, and galaxies.

Indirect calorimetry (IC) is regarded as the benchmark for measuring resting energy expenditure (REE)(1) but validity and reliability in adults with overweight or obesity have not been systematically appraised(2). The aim of our research was to evaluate the diagnostic accuracy of IC for REE in adults with overweight or obesity. A rapid systematic review was conducted. PubMed and Web of Science were searched to December 2023. Eligible studies measured REE by IC in adults with overweight or obesity (BMI ≥ 25 kg/m2 or mean BMI > 30 kg/m2) reporting validity and/or reliability. Studies were selected using Covidence and critically appraised using the CASP diagnostic study checklist. From n = 4022 records, n = 21 studies utilising n = 13 different IC devices were included (n = 10 reported concurrent validity, n = 7 reported predictive validity, n = 7 reported reliability). A hand-held IC had poor validity and inconsistent reliability (n = 6 studies). Standard desktop-based ICs (n = 9 devices) were examined by across n = 18 studies; most demonstrated high validity, predictive ability, and good to excellent reliability. An IC accelerometer showed weak validity (n = 1 study); a body composition-based IC showed strong validity (n = 1 study); and a whole-room IC demonstrated excellent reliability (n = 1 study). Standard desktop-based IC demonstrated the most consistent validity, predictive ability, and reliability for REE in adults with overweight or obesity. Hand-held IC may have limited validity and reliability. Accelerometer, body composition-based, and whole-room IC devices require further evaluation. Inconsistent findings are attributed to differing methodologies and reference standards. Further research is needed to examine the diagnostic accuracy of IC in adults with overweight and obesity.

A new fossil of Lycidae, Domipteron gaoi n. gen. n. sp., is described from Miocene Dominican amber. The fossil exhibits a combination of characteristics found in both Calopterini and Eurrhacini. To determine its systematic placement, we conducted phylogenetic analyses based on adult morphological features. Our analyses indicate that the new fossil belongs to Calopterini.

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