Assessment of the Strength of Welded Joints in a Gas Pipeline Using FEM Modeling. [PDF]
Zvirko O +4 more
europepmc +1 more source
Key Technologies of Pure Hydrogen and Hydrogen-Mixed Natural Gas Pipeline Transportation. [PDF]
Zhang C +7 more
europepmc +1 more source
Organic electrochemical transistors bridge biological ionic signaling and neuromorphic computation through volumetric electrochemical gating. This review connects Organic mixed ionic–electronic conductor materials, device architectures, and manufacturing technologies to show how geometry, ion transport, and fabrication strategies program plasticity ...
Hyunjin Lee +5 more
wiley +1 more source
Prediction of liquid accumulation in a shale gas pipeline. [PDF]
Zhao WD, Fang LP, Xie ZQ, Zhou X.
europepmc +1 more source
Estimating the Below-Ground Leak Rate of a Natural Gas Pipeline Using Above-Ground Downwind Measurements: The ESCAPE-1 Model. [PDF]
Cheptonui F +5 more
europepmc +1 more source
In collegiate endurance athletes, a 6‐week randomized CPYE intervention yielded time‐ and sex‐dependent shifts in field‐based cardiorespiratory, metabolic, and redox indices, accompanied by changes in gut multi‐omics profiles. An exploratory extension during intensified training generates hypotheses warranting future validation.
Meng Zhang +8 more
wiley +1 more source
Study on the main causes of oil and gas pipeline accidents based on improved TOPSIS method. [PDF]
Chen X, Chen W, Zhang Y, Wang Y.
europepmc +1 more source
Pilot-scale testing of natural gas pipeline monitoring based on phase-OTDR and enhanced scatter optical fiber cable. [PDF]
Lalam N +7 more
europepmc +1 more source
Mapping Embryonic Mouse Lung Development Using Enhanced Spatial Transcriptomics
The mammalian lung contains ∼50 cell types arranged along the airway epithelium. Here, deterministic barcoding sequencing (DBiT‐seq) is optimized to nearly double transcript recovery, enabling highly sensitive spatial mapping of the embryonic mouse lung.
Pengfei Zhang +5 more
wiley +1 more source
Lightweight Graph Neural Network-Driven Acoustic Anomaly Detection Method for Gas Pipeline Leakage Levels in Underground Utility Tunnels. [PDF]
Sun W, Li Y, Yang J, Cheng Y.
europepmc +1 more source

