Comparing Missing Data Strategies for Generalized Pairwise Comparisons in Randomized Clinical Trials: A Simulation Study. [PDF]
van Eijk RPA, Lu Y.
europepmc +1 more source
A 3D Multitask Graph Neural Network Framework for Ames Mutagenicity Prediction
Our proposed multitask graph neural network model has a high predictive accuracy for Ames mutagenicity. By operating directly on molecular graph representations instead of traditional molecular descriptors, and predicting strain‐specific results, the model outperforms most existing benchmarks.
Abigail E. Teitgen +3 more
wiley +1 more source
Comparison of a 36-week functional training program versus traditional physical education on physical fitness in male adolescents: a longitudinal school-based study. [PDF]
Li T, Wu J, Wei J, Liu X, Yu T.
europepmc +1 more source
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao +5 more
wiley +1 more source
Factors Influencing Response Rates in National Internet-Based Questionnaires: Analysis of a Large National Survey. [PDF]
Birkeland S, Haakonsson A, Möller S.
europepmc +1 more source
Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam +6 more
wiley +1 more source
Efficacy and safety of <i>Artemisia annua</i> pollen sublingual immunotherapy in patients with seasonal allergic rhinoconjunctivitis with or without comorbid asthma: A real-world study. [PDF]
Hao W, Liu X, Gao N, Bai C.
europepmc +1 more source
Collaborative Visual Localization for Modular Self‐Reconfigurable Robots
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang +4 more
wiley +1 more source
Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez +3 more
wiley +1 more source
Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia +3 more
wiley +1 more source

