Results 71 to 80 of about 37,367 (244)

Smile Arc in Palestinian Adolesants

open access: yesTurkish Journal of Orthodontics, 2009
Smile Arc is good indicator of dentolabial harmony and attractiveness. The number of teeth displayed has an impact on smiling. Smiles which show first molar to first molar are judged the most attractive.
Ma'n. M. N Mahfouz   +2 more
doaj   +1 more source

Age-related changes in the Brazilian woman’s smile

open access: yesBrazilian Oral Research, 2016
The aim of this research was to evaluate age-related changes in the smile of Brazilian women. The sample consisted of 249 Brazilian women who had not undergone previous orthodontic treatment or facial surgery.
Luiza Nayara Almeida Lyra CORREIA   +4 more
doaj   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan   +3 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Service With A Smile [PDF]

open access: bronze, 1949
Mary Culbertson Ludwig
openalex   +1 more source

Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities

open access: yesAdvanced Intelligent Systems, EarlyView.
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar   +10 more
wiley   +1 more source

Utilizing Data Imbalance to Enhance Compound–Protein Interaction Prediction Models

open access: yesAdvanced Intelligent Systems, EarlyView.
This research paper introduces FilmCPI, a sequence‐based model for predicting compound–protein interactions. It uniquely leverages data imbalance between proteins and compounds to improve performance. FilmCPI outperforms baseline models across multiple datasets and demonstrates strong transferability to unseen protein families without increasing ...
Wei Lin, Chi Chung Alan Fung
wiley   +1 more source

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