A Novel Framework for Quantitative Evaluation of Resilience Performance of Sea Lanes of Communication. [PDF]
Fan H, Jia H, Gong X, Chang Z, Lyu J.
europepmc +1 more source
Tailored D‐π Conjugation Boosts Piezocatalytic CO2 Reduction in a Platinum(II)‐Acetylide Framework
The highly conjugated metalII‐acetylide framework demonstrates efficient ultrasound‐driven conversion of CO2 to CO. The piezoelectric field generated by ultrasound facilitates electron transfer from the tetraphenylene π‐column to the MII‐bis(acetylide) moiety, enabling CO2 activation. Compared to PdII‐ and NiII‐based analogues, the stronger d–π orbital
Mude Zhu +6 more
wiley +1 more source
"Hantavirus at sea: Why cruise ships must be ready for animal-borne disease." [PDF]
Ahmed NS +4 more
europepmc +1 more source
Heat Shock Protein 90: From Molecular Chaperone Function to Therapeutic Targeting in Malignancies
In this review, an integrated conceptual framework linking HSP90's molecular chaperone functions to its pathological roles in cancer is proposed. HSP90 serves as a central node that integrates oncogenic signaling, buffers proteotoxic stress, maintains cancer stem cell plasticity, and shapes tumor‐immune interactions, all of which converge to drive ...
Beibei Zhang +4 more
wiley +1 more source
Cardiovascular disease risk across subsectors and occupations in the transportation and storage industry: a national cohort study. [PDF]
Oh J +5 more
europepmc +1 more source
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
Research on key technologies of thick slurry filling chamber method for earth pressure balance shield in karst areas. [PDF]
Huang K +7 more
europepmc +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Maritime traffic congestion identification and ship trajectory prediction using temporal graph convolutional networks. [PDF]
Zhou W, Zhang W, Sun S, Zhang Y.
europepmc +1 more source

