Research on Gas Pipeline Leakage Prediction Model Based on Physics-Aware GL-TransLSTM. [PDF]
Wu C, Lu H, Liu D, Wang C, Gan J, Li Z.
europepmc +1 more source
Semi-supervised learning framework for oil and gas pipeline failure detection. [PDF]
Alobaidi MH, Meguid MA, Zayed T.
europepmc +1 more source
This study reveals that large tumors secrete more chemokine CXCL3, which recruits immunosuppressive neutrophils to the periphery, thereby impairing the activation and memory of systemic tumor‑reactive CD8+ T cells. CXCL3 antagonism restores systemic immune memory and enhances the antitumor efficacy of anti‑PD‑1 therapy, offering a potential strategy to
Ji Wang +15 more
wiley +1 more source
Identification and classification of oil and gas pipeline intru-sion events based on 1-D CNN network. [PDF]
Qin H, Huang X, Wang X, Zhou Z.
europepmc +1 more source
An inventory of greenhouse gas emissions due to natural gas pipeline incidents in the United States and Canada from 1980s to 2021. [PDF]
Lu H +9 more
europepmc +1 more source
This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar +9 more
wiley +1 more source
Advanced Leak Detection Methods for Belowground Natural Gas Pipeline Leaks: Evaluation under Diverse Environmental and Operational Conditions. [PDF]
Gundapuneni VR +3 more
europepmc +1 more source
Frost Heaving Damage Mechanism of a Buried Natural Gas Pipeline in a River and Creek Region. [PDF]
Su W, Huang S.
europepmc +1 more source
A dual‐randomness hardware platform is demonstrated by integrating PUF and TRNG functionalities into mixed‐ZGO nanoclusters. By leveraging spatial and temporal stochasticity, the mixed‐ZGO NCs device enables both unique identification and random signal generation.
Seungme Kang +6 more
wiley +1 more source
An integrated fuzzy multi-criteria decision making and mixed-integer linear programming optimization framework for project risk assessment and response strategy selection: A case study of a liquefied petroleum gas pipeline construction project. [PDF]
Senisel Bachari M +2 more
europepmc +1 more source

