Results 211 to 220 of about 3,959,828 (340)

Benchmarking large language models on the United States medical licensing examination for clinical reasoning and medical licensing scenarios. [PDF]

Sci Rep
Siam MK, Varela A, Faruk MJH, Cheng JQ, Gu H, Maruf AA, Aung Z.   +6 more
europepmc   +1 more source

Highly Sensitive Electrochemical Biosensor Based on Hairy Particles with Controllable High Enzyme Loading and Activity

Advanced Functional Materials, EarlyView.
For the first time, a highly sensitive electrochemical biosensor based on SiO2‐based hairy particles with a grafted PDMAEMA polymer brush containing a quantifiable and large amount of immobilized Laccase is reported. The fabricated biosensor exhibits a sensitivity of 0.14 A·m⁻¹, a limit of detection (LOD) of 0.1 µm, and a detection range of 0.3–750 µm,
Pavel Milkin, Anila Antony, Hongtao Cai, Antonia Debevc, Ceyda Topal, Anne Linhardt, Alla Synytska, Leonid Ionov   +7 more
wiley   +1 more source

A Quantitative and Qualitative Reasoning of Various Visual Cryptographic Schemes to Uphold Secrecy

, 2019
R. Logeshwari, L. Rama Parvathy
openalex   +1 more source

BEnchmarking Large Language Models for Ophthalmology (BELO): An Expert-Curated Data Set and Evaluation Framework for Knowledge and Reasoning. [PDF]

Ophthalmol Sci
Srinivasan S, Ai X, Lo TWS, Gilson A, Zou M, Zou K, Kim H, Yang M, Pushpanathan K, Yew SME, Loke WT, Goh JHL, Chen Y, Kong Y, Fu EY, Ong M, Nwanyanwu K, Dave A, Li KZ, Sun CH, Chia M, Yang GD, Wong WM, Chen DZ, Liu D, Singer M, Antaki F, Del Priore LV, Jonas JB, Adelman R, Chen Q, Tham YC.   +31 more
europepmc   +1 more source

Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions

Advanced Functional Materials, EarlyView.
This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian, Jingkai Lin, Zhihao Tian, Selusiwe Ncube, Huayang Zhang, Emiliano Cortés, Hongqi Sun, Shaobin Wang   +7 more
wiley   +1 more source

Quantitative Reasoning Workbook

, 2020
April LoFranee Abbott, Elwanda Coston, Gary Dicks, Ján Greguš, Sheila McLendon, Amanda Urquhart   +5 more
openalex   +1 more source

Hybrid ConvNeXtV2-ViT Architecture with Ontology-Driven Explainability and Out-of-Distribution Awareness for Transparent Chest X-Ray Diagnosis. [PDF]

Diagnostics (Basel)
Almughamisi N, Abosamra G, Albar A, Saleh M.   +3 more
europepmc   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Evaluating reasoning large language models with human-like thinking in ophthalmic question answering. [PDF]

BMJ Open Ophthalmol
Wang Z, Xu C, Wang L, Qiang W, Li Y, Li D, Xu F, Zhang Y, Jiang J, Li Z.   +9 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source