Results 111 to 120 of about 148,918 (258)

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source

The impact of environmental regulation on the development of new quality productive forces in heavily polluting enterprises. [PDF]

Sci Rep
Li S, Lin D, Du B.
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

Assessing Law No. 87 of 2024 on private sector management of public healthcare facilities in Egypt: neoliberal roots, potential consequences, and policy recommendations. [PDF]

BMC Health Serv Res
Abu El Kheir-Mataria W, Abou-Taleb H, El-Saharty S.   +2 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Patrilocality in South Asia as a determinant of maternal mental health: A scoping review. [PDF]

J Public Health Res
Brown A, Chandra PS, Chakraborty S, Satyanarayana VA.   +3 more
europepmc   +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

Barriers to the Implementation of Iran's Clean Air Act: A Policy-Oriented Scoping Review. [PDF]

Environ Health Insights
Bouzarjomehri H, Ehrampoush MH, Ebrahimi AA, Soltanianzadeh Z, Khosravi M, Herandi Y, Mousavi SM, Ranjbar M.   +7 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

The Relationship Between Infertility Stress and Awareness/Utilization of Benefits Under the 'Family and Youth Support Law' Among Iranian Infertile Couples: A Cross-Sectional Study. [PDF]

Health Sci Rep
Azami-Aghdash S, Rezapour R, Rezaeiyeh SB, Sarabi ZV, Najafi L, Nouri M, Ezzati E.   +6 more
europepmc   +1 more source