Results 201 to 210 of about 183,410 (305)

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

The General Acceptability and Use of Smartphone App-Delivered Interventions for Gambling in Australia. [PDF]

J Gambl Stud
Hawker CO, Merkouris SS, Thomas AC, Rodda SN, Cowlishaw S, Dowling NA.   +5 more
europepmc   +1 more source

Iterative Data Curation for Machine Learning‐Based Inverse Design of Active Composite Plates for Four‐Dimensional Printing

Advanced Intelligent Systems, EarlyView.
A machine learning framework is developed for the inverse design of 4D‐printed active composite plates. It utilizes a forward model to predict shapes from patterns and an inverse model to suggest initial patterns for desired shapes. This framework integrates a genetic algorithm to refine the predicted patterns, ensuring higher accuracy in achieving ...
Teerapong Poltue, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +4 more
wiley   +1 more source

Extracellular Vesicles and the Gartner Hype Cycle. [PDF]

J Extracell Biol
Salehi M, Torabi S, Seydi H, Shekari F, Vosough M.   +4 more
europepmc   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

Advancing artificial intelligence in rheumatology from evidence to practice. [PDF]

Ther Adv Musculoskelet Dis
Diego B, Vincenzo V, Xabier M.
europepmc   +1 more source

Kripke's doubts about meaning [PDF]

, 1991
Kutschera, Franz
core  

TacEva: A Performance Evaluation Framework for Vision‐Based Tactile Sensors

Advanced Intelligent Systems, EarlyView.
This work introduces TacEva, a unified framework for evaluating vision‐based tactile sensors. It standardizes intrinsic, performance, and robustness metrics through shared experimental procedures and links them to task‐level requirements in robotic manipulation.
Qingzheng Cong, Steven Oh, Wen Fan, Shan Luo, Kaspar Althoefer, Dandan Zhang   +5 more
wiley   +1 more source

2026 Update on the Management of Diffuse Large B‐Cell Lymphoma

American Journal of Hematology, EarlyView.
ABSTRACT Diffuse large B‐cell lymphoma (DLBCL) is the most common type of NHL in the Western Hemisphere. It comprises a heterogenous group of lymphomas, with different biology and clinical prognoses. R‐CHP remains the backbone of therapy, and frontline therapeutic options in fit patients are pola‐R‐CHP and R‐CHOP, whereas elderly or frail/unfit ...
Elise A. Chong, Emily B. Tomasulo, Stefan K. Barta   +2 more
wiley   +1 more source

Ketamine in psychiatry: Ethical imperatives in harnessing a controversial yet promising therapy. [PDF]

Aust N Z J Psychiatry
Can AT, Lagopoulos J, Fitzgerald PB, Bailey NW, Dutton M.   +4 more
europepmc   +1 more source