Results 161 to 170 of about 97,170 (314)
Research on Leak Detection and Localization Algorithm for Oil and Gas Pipelines Using Wavelet Denoising Integrated with Long Short-Term Memory (LSTM)-Transformer Models. [PDF]
Ma Y +6 more
europepmc +1 more source
Epistemic opacity in Antarctic science: Unknowing the last frontier
Abstract Antarctica is facing intensifying pressures from climate change, industrial fishing, tourism and renewed geopolitical competition, even as scientific activity on the continent reaches unprecedented levels. We argue that this proliferation of research often fails to deliver the integrated, policy‐relevant knowledge needed for precautionary ...
Virginia Morandini, Álvaro Soutullo
wiley +1 more source
Integrated Risk Assessment of Mountainous Long-Distance Oil and Gas Pipelines Based on Multisource Spatial Data. [PDF]
Wang B +7 more
europepmc +1 more source
The emergence of markets in the natural gas industry [PDF]
As countries have deregulated prices and lowered entry barriers in the natural gas industry, many new participants have emerged, promoting competition in the newly created markets.
Juris, Andrej
core
Composite cylinder under axial and radial compression. ABSTRACT This study examines the hygrothermal degradation of filament‐wound glass fiber‐reinforced epoxy composite tubes designed for application as liners in oil and gas systems, focusing on their response under axial or radial compression.
Anderson L. dos Santos +3 more
wiley +1 more source
A novel neural network-based framework to estimate oil and gas pipelines life with missing input parameters. [PDF]
Shaik NB +3 more
europepmc +1 more source
WELDING OF MAIN OIL AND GAS PIPELINES [PDF]
openaire +1 more source
From wild to tamed: Reimagining novel crops through omics and local plant diversity
The global food system faces growing pressure from climate change, biodiversity loss, and rising nutritional demands. Agriculture has increased yields but reduced crop diversity, flavor, and nutritional quality, leaving societies vulnerable and dependent on a narrow set of staple species.
Alexandra Sanfeliu Meliá +1 more
wiley +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
We systematically summarize how each scale dictates fundamental choices in design feature, manufacturing technology, driving mechanism, and control strategy, which are inherently governed by scale‐dominated physical principles. Furthermore, the application of scale‐determined operation modes of microrobots across different stages of medical ...
Hang Yin +3 more
wiley +1 more source

