Results 71 to 80 of about 2,450 (186)
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
A Data‐Driven Review of Geoscience Research Evolution Using SciBERT‐Based Topic and Network Analysis
This review synthesises the evolution of global geoscience research from 2004 to 2023 using large‐scale bibliometric evidence. By combining keyword co‐occurrence network analysis with SciBERT‐based topic modelling, it identifies major paradigm transitions from geology‐centred research to climate‐focused studies and recent data‐ and AI‐driven ...
Sooyeon Han, Ju‐seop Kim
wiley +1 more source
Failure and deformation characteristics of shale subject to true triaxial stress loading and unloading under water retention and seepage. [PDF]
Li S, Wang C, Zhang D, Yu B, Ren K.
europepmc +1 more source
Ultrasonic Vibration Assisted Laser Processing: A Hybrid Paradigm for Extreme Surface Enhancement
ABSTRACT Traditional laser processing techniques offer many advantages, but they often encounter limitations such as heat‐affected zones, recast layers, residual tensile stresses, and poor surface finish. The integration of ultrasonic vibration (UV) presents a promising hybrid approach to overcome these challenges by introducing beneficial effects like
Aziz Ul Hassan Mohsan +6 more
wiley +1 more source
Abstract In order to investigate the influence of deviator stress on true triaxial compression with confining pressure and unloading tests, indoor experiments were conducted with six different stress combinations for unloading tests. Macroscopic characteristics of the true triaxial compression with confining pressure unloading test showed that ...
Jie Lai, Yuan Liu, Yu Cong, Yun Liu
openaire +3 more sources
Next‐Generation Brain Health Monitoring Enabled by Integrated Wearable AI Infrastructure
This review presents an integrated framework for next‐generation brain‐health monitoring that connects molecular pathology to digital biomarkers via multimodal wearable sensing, signal processing, and AI‐driven analytics. It highlights advances in sensor design, data quality, edge computing, artificial intelligence, digital twins, and clinical ...
Muhammad Hasan Masrur +4 more
wiley +1 more source
To investigate the mechanical properties and energy evolution laws of rocks under true triaxial unloading conditions, a study was conducted using a true triaxial rock testing system on three different types of rocks: coal, sandy mudstone, and siltstone ...
Cheng Pan +5 more
doaj +1 more source
Abstract The Triassic Songpan‐Ganzi turbidite complex (SGC) on the eastern Tibetan plateau is one of the largest flysch turbiditic complexes on Earth. However, the provenance of its extremely thick turbidites is hotly debated. We conducted the measurement of anisotropy of magnetic susceptibility (AMS) of Triassic turbidites from nine profiles in Ruo ...
Yuhan Yang +5 more
wiley +1 more source
The accurate elucidation and prediction of coal permeability evolution under stress loading conditions are crucial for coalbed methane production. In this study, flow experiments were conducted on six cylindrical coal samples and four cubic coal samples ...
Xiaobo Huang +7 more
doaj +1 more source
Abstract Imaging magma storage beneath active calderas requires resolving crustal structure at scales comparable to those of individual reservoirs. To identify potential reservoirs beneath Kı̄lauea, Hawai'i, we conducted a hybrid seismic experiment at its summit for 37 days in 2023 that combined more than 1,800 three‐component nodal seismometers with ...
Guoqing Lin +7 more
wiley +1 more source

