Results 171 to 180 of about 38,801 (275)

FKSUDDAPre: A drug-disease association prediction framework based on F-TEST feature selection and AMDKSU resampling with interpretability analysis. [PDF]

PLoS Comput Biol
Zuo Y, Zhang C, Hua G, Ning Q, Liu X, Zeng X, Deng Z.   +6 more
europepmc   +1 more source

Reconfigurable Curved Beams at Terahertz Frequencies Using Inverse‐Designed Bilayer Diffractive Structures

Advanced Photonics Research, Volume 7, Issue 5, May 2026.
An inverse‐designed bilayer diffractive structure enables reconfigurable propagation of two distinct curved beams via 180° rotation of the second layer. Curved electromagnetic beams at terahertz (THz) frequencies have recently emerged as a powerful example of wavefront engineering, with applications in imaging and high‐capacity wireless communications.
Wei Jia, Miguel Gomez, Steve Blair, Berardi Sensale‐Rodriguez   +3 more
wiley   +1 more source

A Trust-Guided Approach to MR Image Reconstruction With Side Information. [PDF]

IEEE Trans Med Imaging
Atalik A, Chopra S, Sodickson DK.
europepmc   +1 more source

Diminished Signal‐to‐Noise Ratio Disrupts Somatosensory Population Encoding and Drives Tactile Hyposensitivity in the Fmr1−/y Autism Model

Advanced Science, Volume 13, Issue 28, 18 May 2026.
This study provides a translational approach for linking neural activity to tactile deficits in autism. By combining psychophysics with cortical recordings in a mouse model of autism, we show that low signal‐to‐noise ratio in somatosensory neurons weakens population encoding of fine touch, impairing detection, decoding, and leading to perceptual ...
Ourania Semelidou, Théo Gauvrit, Célien Vandromme, Alexandre Cornier, Anna Saint‐Jean, Yves Le Feuvre, Melanie Ginger, Andreas Frick   +7 more
wiley   +1 more source

Fast machine learning image reconstruction of radially undersampled k-space data for low-latency real-time MRI. [PDF]

PLoS One
Topalis J, Dexl J, Jeblick K, Klaar R, Kurz C, Löhr T, Mittermeier A, Schachtner B, Stüber AT, Weber T, Wesp P, Ricke J, Seidensticker M, Landry G, Ingrisch M, Dietrich O.   +15 more
europepmc   +1 more source

Shifting Seas, Changing Diets: Evidence of Temporal Dietary Shifts in Marine Megafauna in Southern Brazil (2017–2023)

Aquatic Conservation: Marine and Freshwater Ecosystems, Volume 36, Issue 5, May 2026.
ABSTRACT Understanding the dietary dynamics of marine megafauna is essential for interpreting ecological interactions and assessing environmental changes in marine ecosystems. We analysed temporal trends in the diets of eight megafaunal species, comprising marine mammals, seabirds, and sea turtles.
Joao Bosco Gusmao, Mario Roberto Castro Meira‐Filho, Camila Domit   +2 more
wiley   +1 more source

Comparative analysis of machine learning models with SHAP interpretation for causes of highway flood-damage blocking. [PDF]

Sci Rep
Li B, Wu L, Gao J, Yang F, Guo Y, Yan M.
europepmc   +1 more source

Integrating biotic interactions in niche analyses unravels patterns of community composition in clownfishes

Ecological Monographs, Volume 96, Issue 2, May 2026.
Abstract Mutualistic interactions play a fundamental role in shaping species distributions, driving niche differentiation, and structuring communities. Yet their influence on realized niches and patterns of coexistence remains poorly understood. In clownfishes, mutualism with sea anemones underpins their biogeography and ecological success, with ...
Alberto García Jiménez, Antoine Guisan, Olivier Broennimann, Théo Gaboriau, Nicolas Salamin   +4 more
wiley   +1 more source

Predicting Diabetic Foot Ulcer Outcomes: Machine Learning‐Based Refinement of IWGDF‐Approved Classifications for Outpatient Services

Endocrinology, Diabetes &Metabolism, Volume 9, Issue 3, May 2026.
Six IWGDF‐approved diabetic foot ulcer classification systems were compared using machine‐learning models. SINBAD and UTWCS showed the strongest prediction of poor outcomes, while a modified WIFI system using simplified wound‐depth grading further improved predictive performance in outpatient care. ABSTRACT Introduction This study aimed to validate and
Farideh Mostafavi, Mohammad Reza Amini, Yadollah Mehrabi, Melina Rezvani, Mehrangiz Toutounchi, Seyed Saeed Hashemi Nazari   +5 more
wiley   +1 more source

Real-Time Deep-Learning Image Reconstruction and Instrument Tracking in MR-Guided Biopsies. [PDF]

J Magn Reson Imaging
Noordman CR, Te Molder LPW, Maas MC, Overduin CG, Fütterer JJ, Huisman HJ.   +5 more
europepmc   +1 more source