Results 231 to 240 of about 671,207 (363)
A city-scale optimization framework for biomass-to-clean-energy transitions: The KAMPALA-TIMES model. [PDF]
Kimuli I, Kirabira JB, Mujjuni F.
europepmc +1 more source
Innovation in Environmental Technology: The Role of Policy in Promoting Environmental Innovation
Morrigan Hayes
openalex +1 more source
National policy and SMEs in technology transfer: the case of Israel
Aliza Belman Inbal, Asaf Tzachor
openalex +1 more source
ABSTRACT Doxorubicin‐induced cardiomyopathy (DIC) remains a dose‐limiting clinical challenge. This study reveals that cardiac vascular endothelial cells (CVECs) act as initial sensors of doxorubicin cardiotoxicity: circulating doxorubicin activates the cGAS‑STING pathway in CVECs, triggering NLRP3 inflammasome‑mediated pyroptosis and release of ...
Wang Jun +10 more
wiley +1 more source
Barriers to the Implementation of Iran's Clean Air Act: A Policy-Oriented Scoping Review. [PDF]
Bouzarjomehri H +7 more
europepmc +1 more source
Do Technology Spillovers Affect Corporate Financial Policies?
Ambrus Kecskes, Phuong-Anh Nguyen
openalex +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
What the future holds: the growing role of real-world evidence in health technology assessment in Malaysia. [PDF]
Lim JS, Lee KKC.
europepmc +1 more source
Analysis on Biofuel Manufacturing Technology and National Policy on Biofuel in India [PDF]
Miss subhashree Mukherjee -
openalex +1 more source
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao +9 more
wiley +1 more source

