Results 161 to 170 of about 168,829 (242)

Erratum: Editorial note to "Maximizing the performance of badminton athletes through core strength training: Unlocking their full potential using machine learning (ML) modeling" [Heliyon 10(15), August 2024, e35145]. [PDF]

Heliyon
Ma S.
europepmc   +1 more source

Advancing the Landscape of RNAi Nanotherapeutics for Ischemic Heart Disease

Advanced Materials, EarlyView.
RNA interference (RNAi) nanomedicine revolutionizes treatment regimens for ischemic heart diseases by enabling tailored, sequence‐anchored gene regulation. This review highlights the recent advances in nanotechnology‐driven RNAi therapeutics for myocardial ischemia and discusses the key design principles that govern efficient delivery, providing ...
Han Gao, Da Pan, Hélder A. Santos
wiley   +1 more source

Forecasting the Pakistan’s Leading Stock Exchange During Covid-19 Using Machine learning (ML) Algorithms: Model Development and Validation

, 2023
Munir T, Mamlook REA, Rahman AR, Shrestha S, Bzizi M, Aljohani A.   +5 more
europepmc   +1 more source

Machine Learning (ML) based-method applied in recurrent pregnancy loss (RPL) patients diagnostic work-up: a potential innovation in common clinical practice. [PDF]

Sci Rep, 2020
Bruno V, D'Orazio M, Ticconi C, Abundo P, Riccio S, Martinelli E, Rosato N, Piccione E, Zupi E, Pietropolli A.   +9 more
europepmc   +1 more source

Decoding High‐voltage LiCoO2: From Degradation to Stabilization Toward Durable Li‐ion Batteries

Advanced Materials, EarlyView.
This review systematically addresses the degradation mechanisms and stabilization strategies for high‐voltage LiCoO2 cathodes. Key enhancement approaches including foreign‐ion doping, surface modifications, structural design, and electrolyte optimization are critically assessed.
Zezhou Lin, Yiran Ying, Huangxu Li, Yanhao Ren, Tiancheng Liu, Peiyu Hou, Haitao Huang   +6 more
wiley   +1 more source

Implementing Critical Machine Learning (ML) Approaches for Generating Robust Discriminative Neuroimaging Representations Using Structural Equation Model (SEM).

Comput Math Methods Med, 2022
Baker MR, Padmaja DL, Puviarasi R, Mann S, Panduro-Ramirez J, Tiwari M, Samori IA.   +6 more
europepmc   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

Oxygen Evolution Reaction Catalysts for Acidic‐Media CO2 Electrolyzers

Advanced Materials, EarlyView.
Acidic‐media CO2 electroreduction (CO2R) could decarbonize chemical production, despite relying on rare‐earth elements for anodic oxygen evolution reaction (OER). Transferring the learnings from mature sister technologies (water electrolysis) could accelerate technological development.
Mingcheng Huang, Adnan Ozden
wiley   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current Status and Challenges. [PDF]

Pharmaceutics
Hassan J, Saeed SM, Deka L, Uddin MJ, Das DB.   +4 more
europepmc   +1 more source