Results 31 to 40 of about 7,621 (303)
Effects of mining subsidence observed by time-lapse seismic reflection profiling [PDF]
Extracting coal from underground mineworkings causes the overlying rocks to subside with associated changes in the stress regime. The aim of the study reported here was to apply the surface seismic reflection method to study the effect of subsidence on ...
Al-Rawahy, Salim Y.S.
core
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Persistent scatterer interferometry to monitor mining related ground surface deformation for data-driven modelling [PDF]
The monitoring, interpretation and prediction of gradual ground surface deformation are critical factors in the understanding of earth systems. In many parts of the world, particularly in coastal areas where resources are often easily transportable and ...
Kemeling, Ilona
core
A diluent‐free, customizable liquid–liquid phase separation (LLPS) platform enables highly efficient radioactive metal ion extraction and stripping. By encapsulating hydrophobic extractants into an ionic surfactant‐rich condensed phase, this LLPS system leverages synergistic electrostatic and coordination interactions.
Ruihan Yan +7 more
wiley +1 more source
Study on the destruction law of physical and shear properties of soil in mining disturbance
Underground mining activities can easily trigger surface subsidence and cause damage to surface soil. However, there is still a lack of studies on damaged soil, restricting ecological remediation in mining-induced subsidence regions to a certain degree ...
Qiya Qiao +6 more
doaj +1 more source
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Surface Subsidence Prediction Method for Coal Mines with Ultrathick and Hard Stratum
Overburden conditions consisting of ultrathick and hard stratum (UTHS) are widespread in China and other countries, but existing surface subsidence prediction methods ignore the strong impact of UTHS on surface subsidence.
Hongkai Han +4 more
doaj +1 more source
SIU subsidence prediction model for partial extraction room-and-pillar mining [PDF]
Open Restriction set for Item 97159 on 2016-11-22T20:01:40Z with date null by kappleg2@illinois.edu.Submitted by Kelly Applegate (kappleg2@illinois.edu) on 2016-11-22T20:06:17Z No.
Chugh, Yoginder, Pytel, W.M.
core
Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç +2 more
wiley +1 more source
In underground coal mining, surface subsidence disasters are likely to be induced. Especially, under the condition of multi-seam mining, the movement characteristics of the overlying strata are more complex.
Jianyang Yu +7 more
doaj +1 more source

