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 +4 more
wiley +1 more source
Economic policy uncertainty and common prosperity within the enterprise: Evidence from the Chinese market. [PDF]
Yang L, Tan X, Tan G.
europepmc +1 more source
Does economic policy uncertainty impact firms' capital structure policy? Evidence from Western European economies. [PDF]
Athari SA, Bahreini M.
europepmc +1 more source
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 +4 more
wiley +1 more source
Retraction: Exploring the link between economic policy uncertainty, financial development, ecological innovation and environmental degradation; evidence from OECD countries. [PDF]
PLOS One Editors.
europepmc +1 more source
Economic policy uncertainty and volatility of treasury futures. [PDF]
Zhang M, Zhao Y, Nan J.
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
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 +4 more
wiley +1 more source
Economic policy uncertainty and enterprise export resilience in China: Does the digital economy matter? [PDF]
Zhu X, Ye Y.
europepmc +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
Correction: Economic policy uncertainty, intra-industry trade, and China's mechanical and electrical product exports. [PDF]
Liu D, Zhu X, Yu H.
europepmc +1 more source

