This inaugural virtual issue of the Health Information and Libraries Journal (HILJ) celebrates the contribution of health information in informing health and social care library and information provision. It has been drawn together to reflect the 2010 biennial Health Libraries Group conference theme of Keeping Information Centre Stage Amid Changing Scenery and includes a series of eleven key papers published in the journal over the last two years. This virtual issue mirrors the usual format of a journal issue with a review article, original articles and regular features on Learning and Teaching in Action, Using Evidence in Practice and International Perspectives and Initiatives. All papers included in this virtual issue of Health Information and Libraries Journal are available free online.
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http://dx.doi.org/10.1111/j.1471-1842.2010.00906.x | DOI Listing |
Mol Ther Oncol
December 2024
Drug Repurposing and Medicines Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia.
Drug repurposing has potential to improve outcomes for high-grade serous ovarian cancer (HGSOC). Repurposing drugs with PARP family binding activity may produce cytotoxic effects through the multiple mechanisms of PARP including DNA repair, cell-cycle regulation, and apoptosis. The aim of this study was to determine existing drugs that have PARP family binding activity and can be repurposed for treatment of HGSOC.
View Article and Find Full Text PDFAdv Mater
January 2025
Division of Materials Science and Engineering, Hanyang University, Seoul, 04763, Republic of Korea.
The evolution of display technologies is rapidly transitioning from traditional screens to advanced augmented reality (AR)/virtual reality (VR) and wearable devices, where quantum dots (QDs) serve as crucial pure-color emitters. While solution processing efficiently forms QD solids, challenges emerge in subsequent stages, such as layer deposition, etching, and solvent immersion. These issues become especially pronounced when developing diverse form factors, necessitating innovative patterning methods that are both reversible and sustainable.
View Article and Find Full Text PDFThe use of virtual reality (VR) in medicine is rapidly expanding, particularly in areas like pain management, surgical training, and mental health therapy. This study examines the implementation and effects of the Cold River VR application, a fully immersive tool designed to help manage pain and anxiety during dressing changes for burn trauma patients in a Czech hospital. The Cold River application immerses patients in a peaceful, interactive virtual environment, utilizing eye-tracking technology to engage them without the need for physical controllers, which could interfere with wound care.
View Article and Find Full Text PDFMol Inform
January 2025
Department of Applied Chemistry, School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan.
Recent advances in machine learning have significantly impacted molecular design, notably the molecular generation method combining the chemical variational autoencoder (VAE) with Gaussian mixture regression (GMR). In this method, a mathematical model is constructed with X as the latent variable of the molecule and Y as the target properties and activities. Through direct inverse analysis of this model, it is possible to generate molecules with the desired target properties.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Unsupervised Domain Adaptation for Object Detection (UDA-OD) aims to adapt a model trained on a labeled source domain to an unlabeled target domain, addressing challenges posed by domain shifts. However, existing methods often face significant challenges, particularly in detecting small objects and over-relying on classification confidence for pseudo-label selection, which often leads to inaccurate bounding box localization. To address these issues, we propose a novel UDA-OD framework that leverages scale consistency (SC) and Temporal Ensemble Pseudo-Label Selection (TEPLS) to enhance cross-domain robustness and detection performance.
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