State-of-the-Art Deep Learning Methods for Microscopic Image Segmentation: Applications to Cells, Nuclei, and Tissues. [PDF]
Krikid F, Rositi H, Vacavant A.
europepmc +1 more source
SLS-2 - the upgrade of the Swiss Light Source. [PDF]
Streun A +6 more
europepmc +1 more source
Abstract Greenhouse gas (GHG) emissions from freshwater ecosystems contribute significantly to global carbon budgets, yet they remain poorly constrained due to limited high‐frequency measurements. We tested a low‐cost, high‐frequency GHG measurement system in a long‐term mesocosm experiment in Lemming, Denmark, over a 7‐month period, focusing on CO2 ...
Tuba Bucak +6 more
wiley +1 more source
Medication Knowledge of Patients with Parkinson's Disease: Strengths and Gaps
Abstract Background Effective drug treatment of motor and non‐motor symptoms in Parkinson's disease (PD) often requires the administration of several anti‐Parkinson drugs in complex treatment regimens. The successful autonomous application of drugs places high demands on therapy adherence, which in turn relies on sufficient medication knowledge ...
Stephan Greten +9 more
wiley +1 more source
SATINN v2: automated image analysis for mouse testis histology with multi-laboratory data integration†. [PDF]
Yang R +11 more
europepmc +1 more source
Machine Learning Assisted Prediction of Degradation Behavior of Poly(Lactic‐Co‐Glycolic Acid)
Using a gradient boosting‐based machine learning model trained on 484 data points, this study predicts the degradation behavior of poly(lactic‐co‐glycolic acid) (PLGA) implants. Degradation time, molecular weight, and lactide/glycolide ratio were identified as key governing factors, enabling accurate prediction while reducing reliance on extensive ...
Shuai Wang +11 more
wiley +1 more source
Genomic Characterization of Bacillus sp. THPS1: A Hot Spring-Derived Species with Functional Features and Biotechnological Potential. [PDF]
Mwamburi SM +10 more
europepmc +1 more source
A Synergistic Strategy for Data‐Constrained Deep Learning in Materials Science
This work develops a three‐stage machine learning framework for materials property prediction, integrating data preparation, graph‐based model training, and final property inference. By synergistically integrating attention pooling, multi‐task learning, auxiliary tasks, and classification‐corrected regression, this hybrid framework provide a ...
Chun Ting Shao +6 more
wiley +1 more source
ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee +3 more
wiley +1 more source
Antiviral drug discovery and development: challenges and future directions. [PDF]
Du S +6 more
europepmc +1 more source

