Results 211 to 220 of about 1,579,753 (313)

The interlocking process in molecular machines explained by a combined approach: the nudged elastic band method and machine learning potential. [PDF]

Chem Sci
Peña-Zarate L, Vela A, Tiburcio J.
europepmc   +1 more source

Theoretical studies on triplet-state driven dissociation of formaldehyde by quasi-classical molecular dynamics simulation on machine-learning potential energy surface. [PDF]

J Chem Phys, 2021
Lin S, Peng D, Yang W, Gu FL, Lan Z.
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Correction to "Machine Learning Potential Analysis of Structural Transition in Cu and Ag Nanoparticles: From Icosahedral to Face-Centered Cubic". [PDF]

J Chem Theory Comput
Yang Y, Han J, Viñes F, Illas F.
europepmc   +1 more source

The Taxonomy of Opportunities to Learn (TxOTL): a tool for understanding the learning potential and substance of interactions in faculty (online) learning community meetings. [PDF]

Int J STEM Educ, 2021
Lau AC, Martin M, Corrales A, Turpen C, Goldberg F, Price E.   +5 more
europepmc   +1 more source

A Return to Normality: A Descriptive Qualitative Interview Study Exploring the Patient Experience of Gout Flare Resolution

Arthritis Care &Research, EarlyView.
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart, Anne Horne, Angelo Gaffo, Lisa K. Stamp, N. Lawrence Edwards, Nicola Dalbeth   +5 more
wiley   +1 more source

Decoding local framework dynamics in the ultra-small pore MOF MIL-120(Al) CO₂ adsorbent using machine-learning potential. [PDF]

Nat Commun
Fan D, Oliveira FL, Bonakala S, Wahiduzzaman M, Maurin G.   +4 more
europepmc   +1 more source

Engagement Patterns with an AI Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, Accepted Article.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed‐methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Harnessing the potential of AI in lifelong learning for medical undergraduates

The Asia Pacific Scholar
Nathasha Luke, Shing Chuan Hooi, Celestial T. Yap   +2 more
doaj   +1 more source

Occupational self-efficacy, job satisfaction and learning potential of the workplace in a sample of diabetes specialist nurses: A structural equation modeling analysis. [PDF]

Int J Nurs Stud Adv
Dautovic A, Fredriksson-Larsson U, Yang Hansen K, Brink E.   +3 more
europepmc   +1 more source