The Effect of Educational Program Based on Belief, Attitude, Subjective Norm, and Enabling Factors Model on Changing the Metabolic Indices in Elderly Patients with Type II Diabetes. [PDF]
Askari A +4 more
europepmc +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Adherence to and predictors of EBP in Swiss-German speech-language pathology: the influence of intrinsic and extrinsic factors. [PDF]
Schäli S, Hofmann V, Hartmann E.
europepmc +1 more source
Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa +3 more
wiley +1 more source
Psychological and contextual determinants of public CPR intention in Hubei Province: an extended theory of planned behavior study. [PDF]
Chen K, Xu R, Wang H.
europepmc +1 more source
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Understanding purchase intention toward upcycled foods through a consumer education lens: an extended theory of planned behavior approach. [PDF]
Shan L, Zhang Y, Ma Y, Tian J, Li Y.
europepmc +1 more source
Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei +9 more
wiley +1 more source
Determinants of Learners' Continuance Intention in Informal Video Learning: Evidence from YouTube. [PDF]
Khanmolee T, Lekcharoen S, Pankham S.
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

