Results 251 to 260 of about 74,157 (331)

Eicosapentaenoic and Docosahexaenoic Acid Levels in Mouse Tissues After Intake of Echium and Ahiflower Oils Rich in Stearidonic and α‐Linolenic Acids

Lipids, EarlyView.
Dietary supplementation with stearidonic acid–rich Echium and Ahiflower oils increases EPA levels across multiple mouse tissues, while DHA responses remain tissue‐specific and limited, supporting the strategic use of plant‐based omega‐3 sources for EPA‐focused interventions. ABSTRACT Omega‐3 fatty acids (n‐3 FA), particularly eicosapentaenoic acid (EPA)
Letícia V. Segre, Mariana S. Bisinotto, Inar A. Castro   +2 more
wiley   +1 more source

Readability of patient education materials for lumbar disc replacement. [PDF]

J Spine Surg
Sedani A, Kholodovsky E, Marmor WA, Trapana J, Mota F, Trapana E.   +5 more
europepmc   +1 more source

Advances in Position‐Momentum Entanglement: A Versatile Tool for Quantum Technologies

Laser &Photonics Reviews, EarlyView.
Position–momentum entanglement constitutes a high‐dimensional continuous‐variable resource in quantum optics. Recent advances in its generation, characterization, and control are reviewed, with emphasis on spontaneous parametric down‐conversion and modern measurement techniques.
Satyajeet Patil, Rajshree Swarnkar, Jonas L. Moos, Sebastian Töpfer, Sergio Tovar‐Pérez, Jorge Fuenzalida, Markus Gräfe   +6 more
wiley   +1 more source

Mobile Apps and Websites With Breastfeeding-Related Content in Germany: Cross-Sectional and Evaluation Study. [PDF]

JMIR Pediatr Parent
Ziebart M, Jäger V, Theurich MA, Koletzko BV.   +3 more
europepmc   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

Automatic text readability assessment for educational content based on graph representation learning. [PDF]

Sci Rep
Zhang L, Abhani J, B J, Yadav A, Ab Yajid MS, Mowafaq F, B B, Sahu PK, Vats S.   +8 more
europepmc   +1 more source

Application of Machine Learning in Heat Treatment Process Design of Carburized Steel

Materials Genome Engineering Advances, EarlyView.
To accelerate heat treatment design, we constructed a closed‐loop machine learning strategy involving multi‐source datasets and feature screening. The optimized model accurately predicts hardness and friction coefficients, successfully guiding the process optimization for two typical carburized steels with high experimental consistency.
Di Jiang, Yihao Zheng, Chunyang Luo, Xuefei Wang, Chi Zhang, Zhaodong Wang   +5 more
wiley   +1 more source

Readability and information quality of LLM-Generated HIV content: a methodological content evaluation. [PDF]

BMC Infect Dis
Chen G, Lin C, Kim JH, Du F, Luo Z, Shin YS, Li X.   +6 more
europepmc   +1 more source

Readability of the Lingga Region Folklore Using Modified Fog Index Criteria Formula

Juriati, Sabarani
openalex   +2 more sources

What Is Required for AI to Improve the Assessment and Treatment of Patients With Lower Urinary Tract Dysfunction? ICI‐RS 2025

Neurourology and Urodynamics, EarlyView.
ABSTRACT Introduction Artificial intelligence (AI) is poised to improve the diagnosis and management of lower urinary tract dysfunction (LUTD). Its effective deployment requires prioritization, regulatory oversight, rigorous validation, and clinician and patient engagement.
Glenn T. Werneburg, Michel Wyndaele, John E. Speich, Enrico Finazzi Agro, Mo Belal, Sachin Malde, George Bou Kheir, Emre Huri, Arjun K. Nambiar, Giovanni Mosiello, Riccardo Lombardo, Phil Toozs‐Hobson, Christopher R. Chapple, Alan J. Wein, Paul Abrams, Kevin Rademakers   +15 more
wiley   +1 more source