Results 101 to 110 of about 38,536 (261)
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
A time‐multiplexed nanobody‐functionalized organic electrochemical transistor enables rapid and sensitive detection of three respiratory viral proteins from saliva. Sequentially addressed multi‐gate electrodes on a shared channel achieve around 1 fm detection within 15 min without sample preprocessing. Clinical validation demonstrates high specificity,
Tianrui Chang +13 more
wiley +1 more source
Pseudo-Labeling With Large Language Models for Multi-Label Emotion Classification of French Tweets
This study proposes a novel semi-supervised multi-label emotion classification approach for French tweets based on pseudo-labeling. Human subjectivity in emotional expression makes it difficult for a machine to learn.
Usman Malik +5 more
doaj +1 more source
Semi-Supervised Classification of Noisy, Gigapixel Histology Images. [PDF]
Pulido JV +8 more
europepmc +1 more source
The hyperactivation of PI3K/AKT signaling in PTEN wild‐type triple‐negative breast cancer represents a clinical paradox. We delineate a novel post‐translational regulatory axis wherein the oncogene TSPYL5 competitively antagonizes the deubiquitinase USP10.
Jiaying Shi +8 more
wiley +1 more source
Histopathological Classification Model for Semi-supervised Knowledge Distillation
Histopathological image classification is a key technology for computer-aided diagnosis, which largely relies on a large amount of labeled data. Although boosting semi-supervised and weakly supervised methods can reduce dependence on labeled data, they ...
XIE Yining +4 more
doaj +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Enhancing Maturation of Human Neuromuscular Organoids via Electrical Stimulation
A framework for on‐demand and non‐invasive exposure of human neuromuscular organoids (NMOs) to electrical stimuli is established to promote their maturation. The robustness and effectiveness of different stimulation regimes are evaluated via thorough characterization of organoid tissue structure and contraction capacity. Chronic electrical stimulation,
Chrysanthi‐Maria Moysidou +12 more
wiley +1 more source
Open-World Semi-Supervised Learning for fMRI Analysis to Diagnose Psychiatric Disease
Due to the incomplete nature of cognitive testing data and human subjective biases, accurately diagnosing mental disease using functional magnetic resonance imaging (fMRI) data poses a challenging task.
Chang Hu +3 more
doaj +1 more source
Cigarette smoke accelerates the aging of immune cells in the lung. By combining human single‐cell sequencing, cell culture, and mouse models, the authors show that the protein GEM drives mitochondrial damage and senescence in alveolar macrophages by suppressing SIRT3.
Jin Wang +8 more
wiley +1 more source

