Results 61 to 70 of about 527,546 (285)
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advanced 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
Students Collaboratively Prompting ChatGPT
ComputersThis study investigated how undergraduate students collaborated when working with ChatGPT and what teamwork approaches they used, focusing on students’ preferences, conflict resolution, reliance on AI-generated content, and perceived learning outcomes ...
Maria Perifanou +1 more
doaj +1 more source
Cap-preserving SMILE Enhancement Surgery
BMC Ophthalmology, 2018 Background Different enhancement procedures have been suggested for reduction of residual refractive errors after SMILE. The aim of this study is to evaluate an improved cap-preserving technique for enhancement after SMILE (Re-SMILE).
Ahmed N. Sedky +3 more
doaj +1 more source
Smile detection in the wild based on transfer learning
, 2018 Smile detection from unconstrained facial images is a specialized and challenging problem. As one of the most informative expressions, smiles convey basic underlying emotions, such as happiness and satisfaction, which lead to multiple applications, e.g.,
Barner, Kenneth E. +2 more
core +1 more source
Digital smile design for gummy smile correction
Indian Journal of Dental Research, 2019 Some tools can be used as an aid to the surgical planning for gummy smile correction, such as digital smile design (DSD), which allows to determine patterns of harmony and eventual asymmetries between teeth and gums. This work aims to report a gummy smile correction using DSD as reverse planning.
Yara Loyanne de A S. Levi +2 more
openaire +3 more sources
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced 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
Collaborative Uses of GenAI Tools in Project-Based Learning
Education SciencesArtificial intelligence (AI) is forcing a dramatic transformation of the methods by which we acquire knowledge and engage in collaborative learning. Although there are several studies on how AI can support collaborative learning, there are no published ...
Maria Perifanou +1 more
doaj +1 more source
Environmental Kuznets curve (EKC): Times series evidence from Portugal [PDF]
The paper provides empirical evidence of an EKC – a relationship between income and environmental degradation for Portugal by applying autoregressive distributed lag (ARDL) to times series data.
Dube, Smile +2 more
core +1 more source
You\u27re Still Beautiful [PDF]
, 2002 In lieu of an abstract, below is the essay\u27s first paragraph. I see you sitting there looking out the window, wondering if you\u27ll remember me today. You look at me and stare, and question yourself, Do I know her? I smile and you smile back.
Moringello, Samantha
core +1 more source
Insulin-inducible SMILE inhibits hepatic gluconeogenesis [PDF]
, 2015 The role of a glucagon/cAMP-dependent protein kinase–inducible coactivator PGC-1α signaling pathway is well characterized in hepatic gluconeogenesis. However, an opposing protein kinase B (PKB)/Akt-inducible corepressor signaling pathway is unknown.
Choi, Byeong Hun +11 more
core +1 more source