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Anisotropically Epitaxial P-N Heterostructures Actuating Efficient Z-Scheme Photocatalytic Water Splitting.
Small
January 2025
Key Laboratory of Eco-chemical Engineering, International S&T Cooperation Foundation of Eco-chemical Engineering and Green Manufacture, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, P. R. China.
Crafting anisotropically epitaxial p-n heterostructures with Z-scheme charge transmission is a promising avenue toward excellent photocatalytic efficiency, yet the large lattice mismatch and diverse crystal growth habits between components have often arisen as a big challenge to this goal. Here, anisotropically epitaxial p-n heterostructures with 19.8% lattice mismatch are obtained via a dynamics-mediated seeded growth tactic under reaction temperature as low as 60 °C.
View Article and Find Full Text PDFSelf-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology.
Med Image Anal
January 2025
Nuffield Department of Medicine, University of Oxford, Oxford, UK; Department of Engineering Science, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK; Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, Oxford, UK. Electronic address:
Predicting disease-related molecular traits from histomorphology brings great opportunities for precision medicine. Despite the rich information present in histopathological images, extracting fine-grained molecular features from standard whole slide images (WSI) is non-trivial. The task is further complicated by the lack of annotations for subtyping and contextual histomorphological features that might span multiple scales.
View Article and Find Full Text PDFUnderstanding Cyclists' Visual Behavior Using Eye-Tracking Technology: A Systematic Review.
Sensors (Basel)
December 2024
Department of Civil Engineering and Architecture, University of Catania, 64 Santa Sofia Street, 95123 Catania, Italy.
Eye-tracking technologies are emerging in research aiming to understand the visual behavior of cyclists to improve their safety. These technologies gather real-time information to reveal what the cyclists look at and how they respond at a specific location and time. This systematic review investigates the use of eye-tracking systems to improve cyclist safety.
View Article and Find Full Text PDFAutomated high-throughput RP-HPLC-MS and SFC-MS analytical and purification platforms to support drug discovery.
J Chromatogr A
December 2024
Chemistry Capabilities, Analytical & Purification, Global Discovery Chemistry. Janssen Research & Development, a Division of Janssen Pharmaceuticals, Johnson & Johnson company, 1400 McKean Rd. Spring House PA 19477, USA.
In recent years, the need to accelerate drug discovery processes in the pharmaceutical industry has revived the interest of implementing automated workflows, allowing the simultaneous processing of multiple samples on global processes that are referred as High-Throughput Purification (HTP). In this work, SAPIO Laboratory Information Management System (SAPIO LIMS) has been customized at the HTP laboratories of Janssen R&D to accommodate the needs of global purification groups on several automated HTP workflows, integrating Analytical Studio™ data processing tool on multiple steps. Herein we describe the workflow details from crude analysis via RP-LC-MS or SFC-MS systems to sample redissolution and delivery to Compound Logistics (CL) in tubes ready for assay plate preparation.
View Article and Find Full Text PDFOptimizing Exclusion Criteria for Clinical Trials of Persistent Lyme Disease Using Real-World Data.
Healthcare (Basel)
December 2024
Union Square Medical Associates, 595 Buckingham Way, Suite 350, San Francisco, CA 94132, USA.
Background/objectives: Although eligibility criteria for clinical trials significantly impact study outcomes, these criteria are often established without scientific justification, leading to delayed recruitment, small sample sizes, and limited study generalizability. Persistent Lyme disease (PLD) presents unique challenges due to symptom variability, inconsistent treatment responses, and the lack of reliable biomarkers, underscoring the need for scientifically justified eligibility criteria.
Objective: This study examines the effects of commonly used enrollment criteria on sample yield in PLD clinical trials using real-world data (RWD) from the MyLymeData patient registry.
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