Results 251 to 260 of about 252,758 (328)

Dual Approach for Gummy Smile Management: Combining Gingivectomy and Botulinum Toxin for Aesthetic and Functional Enhancement

Abeer Ali Marhoon, Sadiq Aziz Hussein, Mohamad Chamout, Nasser Baherli   +3 more
openalex   +1 more source

Stories as Invitation and Transformation: Global Literature Integration across Multiple Contexts

WOW Stories, 2015
Tracy Smiles
doaj  

Beyond performance: how design choices shape chemical language models. [PDF]

J Cheminform
Fender I, Gut JA, Lemmin T.
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

Analyzing how personality factors influence the perception of smile aesthetics across diverse dental educational backgrounds and lay audiences. [PDF]

Prog Orthod
Al-Bitar Z, Attari N, Abu Arqub S, Al-Omiri M.   +3 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

The unbearable lightness of laughing: a reflexive thematic analysis of smiles and laughter in five psychotherapy training processes. [PDF]

Front Psychol
Hoff CH, Strømme H.
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

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

ChemFM as a scaling law guided foundation model pre-trained on informative chemicals. [PDF]

Commun Chem
Cai F, Zacour K, Zhu T, Tzeng TR, Duan Y, Liu L, Pilla S, Li G, Luo F.   +8 more
europepmc   +1 more source