Intelligent monitoring and CNN-based performance evaluation of borehole-pipe-pump gas drainage systems in coal mines. [PDF]
Tong Y, Yang Y, Niu J, Yang F.
europepmc +1 more source
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
Integrating Finite Element Simulation with Actual GTAW Weld Profiles to Optimize Root Height in Stainless Steel 316L Pipe Joints. [PDF]
Sohel M, Sharma VS, Arumugam A.
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Enrichment and comparative metagenomics of microbes involved in biocorrosion of gas transport or storage steel infrastructure. [PDF]
Way J +5 more
europepmc +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Investigating the effect of microstructure difference on hydrogen embrittlement sensitivity of X80 pipeline. [PDF]
Zhang S, Bi Z, Li J.
europepmc +1 more source
Pipeline quarrel: flare-up or blowup? Europe: Magazine of the European Community No. 233, September- October 1982. [PDF]
core
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
A Composite Material Repair Structure: For Defect Repair of Branch Pipe Fillet Welds in Oil and Gas Pipelines. [PDF]
Zhao L +13 more
europepmc +1 more source

