Results 201 to 210 of about 7,841,807 (278)

Maternal and fetal outcomes in women with uterine congenital abnormalities: a systematic review and meta-analysis. [PDF]

Matern Health Neonatol Perinatol
Fahmo I, Hakizimana T, Kasujja M, Makena W, Anyanwu CN, Okechukwu Ugwu CP, Anyanwu EG.   +6 more
europepmc   +1 more source

Learning regime‐dependent governing equations: A symbolic decision tree approach

AIChE Journal, EarlyView.
Abstract Many chemical engineering systems are governed by mechanisms that switch across operating regimes, making the data‐driven discovery of regime‐dependent governing equations essential for predictive modeling, optimization, and control. We propose symbolic decision trees for the data‐driven discovery of regime‐dependent governing equations.
Ilias Mitrai, Tongjia Liu, Gabriel E. Sanoja   +2 more
wiley   +1 more source

Efficacy of silver modified atraumatic restorative treatment (SMART) versus atraumatic restorative treatment (ART) for caries control in primary teeth: a systematic review and meta-analysis. [PDF]

Front Dent Med
Rubio-Membrillo KN, Espinoza-Salcedo MV, Arbildo-Vega HI, Rojas-Rojas OE, Delgado-Asmat EE, León-Rodríguez JA, Coronel-Zubiate FT.   +6 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Mucosal-associated invariant T cells respond to colonic microbiome alterations during acute HIV infection. [PDF]

Mucosal Immunol
Vimonpatranon S, Mika SK, Pang APS, Machmach K, Lima NS, Godbole S, Sajjaweerawan C, Longtine ER, Henry AR, Laboune F, Metz E, Ratnaratorn N, Phuang-Ngern Y, Sacdalan C, Ake JA, Shacklett BL, Sandberg JK, Rerknimitr R, Phanuphak N, Vasan S, Douek DC, Corley MJ, Schuetz A, Paquin-Proulx D.   +23 more
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source