Results 111 to 120 of about 8,212,561 (277)

Research on the Laws of Destructive Patterns and Control Measures of Overlying Rock in High‐Efficiency Large‐Scale Mining Faces

Energy Science & Engineering
With the continuous advancement of coal mining technology, the mining height and length of working faces in China have increased, and ultra‐long fully mechanized mining faces with large‐mining heights have become the prevailing layout trend in modern ...
Chen Gong, Peilin Gong, Kang Yi, Kaijie Duan, Lizhu Liu, Peng Li   +5 more
doaj   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Coal Wall Spalling Mechanism and Grouting Reinforcement Technology of Large Mining Height Working Face. [PDF]

Sensors (Basel), 2022
Liu H, Chen Y, Han Z, Liu Q, Luo Z, Cheng W, Zhang H, Qiu S, Wang H.   +8 more
europepmc   +1 more source

Mining Pressure Law and Working Resistance of Support in Face with Large Mining Height in Shallow Seam

Meikuang Anquan, 2020
In order to study the law of ground pressure appearance in the face with large mining height in shallow coal seam and determine its reasonable working resistance of support, the 5-2 coal 503 working face of Daliuta Coal Mine in Shendong is selected as the research object.
openaire   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
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, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Coal‐wall spalling prevention mechanism using advance‐grooving pressure relief in the large‐mining‐height working face of a shallow coal seam

Energy Science & Engineering
In mining, the roof structure of a working face with a large mining height in a shallow‐buried coal seam is prone to cutting instability in front of the support, which causes support crushing and coal‐wall spalling. This study analyzes 2201 working faces
Wang Hongwei, Feng Li, Zhao Zhouyan, Li Yanjun, Cao Peipei, Jiao Jianqiang, Jiang Baolin, Liu Yong   +7 more
doaj   +1 more source

Key technologies and practices for safe, efficient, and intelligent mining of deep coal resources

Meitan kexue jishu
The geological conditions of deep coal resources are complex, and intelligent mining is the only way for the safe, efficient, and green development of deep coal resources. The complete set of intelligent mining technology and equipment that adapts to the
WEI LI, Xikui SUN
doaj   +1 more source

Child height, health and human capital: evidence using genetic markers [PDF]

Height has long been recognised as associated with better outcomes: the question is whether this association is causal. We use children’s genetic variants as instrumental variables (IV) to deal with possible unobserved confounders and examine the effect ...
Frank Windmeijer, Carol Propper, Stephanie von Hinke Kessler Scholder, George Davey Smith, Debbie A. Lawlor   +4 more
core  

A Breadth‐First Pruned‐Enriched Rosenbluth Method for Force–Extension Simulations of Confined Semiflexible Chains

Advanced Intelligent Discovery, EarlyView.
The behaviors of semiflexible polymers such as DNA and protein are often reshaped by coupled interactions. Monte Carlo simulations assist in studying these systems. This work recasts the traditional chain‐growth strategy into a new framework: a fixed number of chains grow synchronously, while less relevant chains to the target system are removed and ...
Yihan Zhao, Jizeng Wang
wiley   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source