Results 161 to 170 of about 17,941 (253)
Exploratory clinical trial on the acoustic variability index for predicting fluid responsiveness during hepatectomy. [PDF]
Seo WY +11 more
europepmc +1 more source
Cement infill shares compressive and shear stresses during loading, while interfacial friction hinders crack propagation and reduces stress concentration, improving the rock's load‐bearing capacity. Failure modes vary with crack inclination. Unfilled specimens show four modes.
Shihao Yuan +4 more
wiley +1 more source
Neurons in the bat auditory cortex encode class and complexity of future vocalizations. [PDF]
Babl SS, Röhrig D, Hechavarría JC.
europepmc +1 more source
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source
Classification of Goat Vocalization via Lightweight Machine Learning and High-Dimensional Acoustic Features. [PDF]
Méndez DA, Calvet Sanz S.
europepmc +1 more source
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu +4 more
wiley +1 more source
Exploiting Phase Memory in Multicarrier Waveforms for Robust Underwater Acoustic Communication. [PDF]
Tasadduq I, Murad M, Felemban E.
europepmc +1 more source
This study reveals the failure evolution characteristics of deep cross‐fault roadway surrounding rock under excavation support and periodic weighting. Periodic weighting readily induces fault activation, with the spatial distribution of failed rock masses being controlled by the fault strike and dip.
Tiezhu Li +4 more
wiley +1 more source
Quantum-inspired workflow for processing distributed fiber-optic sensor data. [PDF]
Gemeinhardt H, Sharma J, Kastoryano M.
europepmc +1 more source
This study establishes a multi‐factor coupling framework for predicting breakdown pressure in laminated shale by integrating experimental hydraulic fracturing tests, physics‐informed neural networks (PINNs), and Sobol sensitivity analysis. It reveals how differential stress, the bedding dip angle, and the injection rate interact to influence fracture ...
Tao Wang +6 more
wiley +1 more source

