Results 201 to 210 of about 245,586 (306)

Development of a benchmarking dataset for symptom detection using large language models. [PDF]

JAMIA Open
Davis J, Durieux BN, Van Dongen C, Sciacca K, Gutierrez JM, Lindvall C.   +5 more
europepmc   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Renaclic for Chronic Kidney Disease Self-Management: Formative User-Centered Co-Design Study. [PDF]

JMIR Form Res
Mataranga J, Puppo Capodano F, Srougbo J, Galland J, Ugon A, Pelayo S, Isnard Bagnis C.   +6 more
europepmc   +1 more source

Modal Analysis of Light Propagation, Polarization and Diffraction by Cholesteric Liquid Crystal Layers

Advanced Functional Materials, EarlyView.
The analysis of optical eigenmodes in chiral liquid crystal with perpendicular or tilted helical axis, and their correspondence with the external medium, leads to an intuitive understanding of the angle and wavelength dependency of transmissive and reflective diffraction.
Ke Xu, Pouya Nosratkhah, Le Zhou, Shengzhu Yi, Giorgio Manzoni, Kristiaan Neyts   +5 more
wiley   +1 more source

Limited Predictability of Traumatic Intracranial Hemorrhage from Routine Pre-CT Clinical Variables in Older Adults with Low-Energy Falls: A Systematic Benchmarking Study in a Retrospective Bicentric Cohort. [PDF]

Diagnostics (Basel)
Stahl R, Stüber AT, Wania R, Ingrisch M, Ostadi Ataabadi M, Öchsner M, Forbrig R, Trumm CG, Liebig T, Böcker W, Pedersen V.   +10 more
europepmc   +1 more source

Anisotropic Phonon Dynamics and Directional Transport in Actinide Van der Waals Semiconductor Uranium Triselenide

Advanced Functional Materials, EarlyView.
USe3 is introduced as an actinide van der Waals semiconductor that mirrors the quasi‐one‐dimensional physics of transition‐metal trichalcogenides. Polarization‐resolved Raman spectroscopy on exfoliated flakes maps strong in‐plane phonon anisotropy and strain‐tunable mode shifts.
Aljoscha Söll, Valentino Jadriško, Sourav Dey, Nassima Benchtaber, Kalyan Sarkar, Borna Radatović, Jan Luxa, Fedor Lipilin, Kseniia Mosina, Vojtěch Kundrát, Jakub Zalesak, Jana Vejpravová, Martin Žáček, Szymon J. Zelewski, Nikolas Antonatos, Christoph Gadermaier, José J. Baldoví, Zdeněk Sofer   +17 more
wiley   +1 more source

Letter to the editor. Re: "Coconut (Cocos nucifera) tree disease dataset: A dataset for disease detection and classification for machine learning applications," Data in Brief, vol. 51, p. 109690, 2023. [PDF]

Data Brief
Sabrigiriraj M, Manoharan K.
europepmc   +1 more source

CO2‐to‐CO Conversion in a Gas‐Fed, Zero‐Gap, PEM Electrolyzer Enabled by Polycations and Nitrogen‐Doped Carbon‐Supported Cobalt Nanoparticles

Advanced Functional Materials, EarlyView.
A gas‐fed, zero‐gap, PEM CO2 electrolyzer is realized by incorporating PDDA+ ions onto the carbonaceous Co/N‐C electrocatalyst, with gaseous H2 and CO2 fed into the anode and cathode, respectively. Operating without an aqueous electrolyte, the system sustains a peak FECO of 65.1% at 100 mA cm−2. ABSTRACT Electrochemical carbon dioxide reduction (ECO2R)
Yuen Leong Chow, Hsi‐Wen Wu, Aimin Li, Yalou Guo, Duhong Chen, Jie Zhang, Paul A. Webley   +6 more
wiley   +1 more source

Authors' Reply: Urological Content Accuracy as an Unmeasured Dimension in Generative AI Chatbot Communication About Sexual Health After Prostate Cancer. [PDF]

JMIR Cancer
Christiansen M, Eriksson H, Fagerström L.   +2 more
europepmc   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source