Results 151 to 160 of about 35,434 (217)

Arteriovenous Loop-Assisted Free Functional Gracilis Transfer in Vessel-Compromised Patients: A Salvage Strategy for Facial Reanimation. [PDF]

Microsurgery
Osterloh J, Weiss JBW, Fricke M, Nguyen CT, Kollár B, Eisenhardt SU.   +5 more
europepmc   +1 more source

How Artificial Intelligence Influences Consumer Reflection in Decision‐Making: The Role of AI Anthropomorphism and Reinforcement

Psychology &Marketing, EarlyView.
ABSTRACT Consumer reflexivity describes how individuals evaluate consumption in relation to their historical, social, and ideal selves. As AI‐driven recommendations become increasingly personalized, understanding how AI design features shape these reflexive processes is essential.
En Chen, Jie Meng, Safak Dogan
wiley   +1 more source

The association between oral health-related quality-of-life and smile aesthetic indices among Chinese individuals. [PDF]

Medicine (Baltimore)
Huang J, He J, Niu T, Huang J, Lan JY, Li GS, Yang R, Tian L.   +7 more
europepmc   +1 more source

Benchmarking Large Language Models for Polymer Property Predictions

Macromolecular Rapid Communications, EarlyView.
Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta, Akhlak Mahmood, Shivank Shukla, Rampi Ramprasad   +3 more
wiley   +1 more source

Symptom distress evolution over the first year after allogeneic stem cell transplantation - a prospective observational sub-study of the SMILe project. [PDF]

Support Care Cancer
Schmid A, Ribaut J, De Geest SM, Valenta S, Zeiser R, Denhaerynck K, Kaier K, Teynor A, Leppla L.   +8 more
europepmc   +1 more source

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility

Macromolecular Rapid Communications, EarlyView.
The performance of machine learning models for classifying polymer solubility improves when a high‐fidelity experimental dataset is used compared to a low‐fidelity experimental dataset. This has important implications for justifying the value of spending additional time and resources preparing detailed experimental datasets.
Mona Amrihesari, Manali Banerjee, Raul Olmedo, Blair Brettmann   +3 more
wiley   +1 more source

A plastic surgery approach to Meige syndrome: Botulinum toxin for rebalancing facial dystonia and aesthetics - A case report. [PDF]

JPRAS Open
Long X.
europepmc   +1 more source

Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning

Macromolecular Rapid Communications, EarlyView.
Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
Jooyoung Roh, Cyrille Boyer, Priyank V. Kumar   +2 more
wiley   +1 more source

Camouflage Treatment of a Severe Hyperdivergent Class II Malocclusion by Posterior Interproximal Tooth Reduction and Clear Aligners: A Case Report. [PDF]

Case Rep Dent
Lo Giudice A, Palazzo G.
europepmc   +1 more source