Results 241 to 250 of about 3,753,697 (367)
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley +1 more source
Does Cyberchondria Influence Subjective Well-Being in Online Healthcare platforms?-An Empirical Study. [PDF]
Ding X, Wang Y, Wang W.
europepmc +1 more source
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
The impact of cultural leisure activities participation on older adults' subjective well-being: an empirical study in China. [PDF]
Ji R, Sheng Y, Zheng C, Chen W.
europepmc +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Parental marital conflict and adolescent BrainRot behavior : the chain mediation of experiential avoidance and subjective well-being. [PDF]
Jia W +5 more
europepmc +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Measuring the Subjective Well-Being of Nations: National Accounts of Time Use and Well-Being [PDF]
Richard Layard
core +6 more sources

