Results 201 to 210 of about 403,766 (312)
Foreign investments and load capacity factor in BRICS: the moderating role of environmental policy stringency. [PDF]
Yıldırım M, Destek MA, Manga M.
europepmc +1 more source
AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz +4 more
wiley +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
Effects of macroprudential policies on ecological footprint: the moderating role of environmental policy stringency in the top 11 largest countries. [PDF]
Luo H, Sun Y, Zhang L.
europepmc +1 more source
Environmental Policy Integration in the Energy Sector of China: The Roles of the Institutional Context. [PDF]
Ruan X, Sheng R, Lin T.
europepmc +1 more source
Environmental policy drivers in Europe : A study of ideological and national influences on MEPs' voting behaviour [PDF]
Torrkulla, Matilda
openalex
The effects of the economic crisis on environmental policy-making [PDF]
Sanja Ramona Schuelke
openalex
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
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

