Results 181 to 190 of about 623,607 (277)

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

Trained to care, untrained to share: the integration of social media (#SoMe) education in dental specialty programs: a scoping review. [PDF]

Front Oral Health
Taymour N, Khalifa AR, Abdelrahaman HH, Hassan MG.   +3 more
europepmc   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

Mapping the Landscape: A Systematic Review of Technology Trends in Medical Education and Competency Development. [PDF]

Adv Med Educ Pract
Toofaninejad E, Mirzaei S, Mahdavi Shakib A, Gholipour Morad Dashtaki D, Raoufian H, Mirmoghtadaie Z, Sohrabi S.   +6 more
europepmc   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce. [PDF]

J Am Stat Assoc
Han J, Dai X.
europepmc   +1 more source

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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Digital Solutions in HF Education: What Can Patients and Clinicians Gain? [PDF]

Curr Heart Fail Rep
Castiello T, Hill L, Man S, Elseidy S, Griffin D, Schuuring MJ.   +5 more
europepmc   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Strengthening bioinformatics education: e-learning initiatives across ELIXIR Nodes and Communities. [PDF]

F1000Res
Zahn-Zabala M, Ahokas M, Batut B, Beier S, Botzki A, Cardona A, Gruden K, Korpelainen E, Lehtivaara M, Leskosek B, Mirăuță B, Mishra A, Pommier C, Poterlowicz K, Rasche H, Sand O, Waterhouse R, Wittke S, Zenoaga-Barbăroșie C, Anton M, Wibberg D.   +20 more
europepmc   +1 more source