Experimental Study on Seepage Properties of Postpeak Fractured Rocks under Cyclic Loading-Unloading Confining Stress and Axial Stress by Xiaobo Zhang, Zuhao Xia, Chi Yao, Jianhua Yang, Mingdong Yang

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Origin and Evolution of the Ore-Forming Fluids in the Liyuan Gold Deposit, Central North China Craton: Constraints from Fluid Inclusions and H-O-C Isotopic Compositions by Ying Ma, Suo-Fei Xiong, Hua-Liang Li, Shao-Yong Jiang

“…Due to the lack of granite body at the present mining levels, we speculate that it was magmatic water that might have been exsolved from a concealed granite body at greater depth or it was metamorphic fluid that was directly transported from depth via deep faults. …”
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Sliding Mode Backstepping Control of Excavator Bucket Trajectory Synovial in Particle Swarm Optimization Algorithm and Neural Network Disturbance Observer by Xiangfei Tao, Kailei Liu, Jing Yang, Yu Chen, Jiayuan Chen, Haoran Zhu

“…As a consequence of the problem of position tracking control spawned from external disturbance and other factors in the self-mining servo system of excavators, a strategy of sliding mode backstepping control based on the particle swarm optimization algorithm and neural network disturbance observer (PSO-NNDO-SMBC) was recommended accordingly. …”
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PPARD May Play a Protective Role for Major Depressive Disorder by Tao Yang, Juhua Li, Liyuan Li, Xuehua Huang, Jiajun Xu, Xia Huang, Lijuan Huang, Kamil Can Kural

“…To explore the potential connection between PPARD and MDD, we first conducted a literature-based data mining to construct a PPARD-driven MDD regulating network. …”
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A Novel Framework for Selecting Informative Meteorological Stations Using Monte Carlo Feature Selection (MCFS) Algorithm by Rizwan Niaz, Ibrahim M. Almanjahie, Zulfiqar Ali, Muhammad Faisal, Ijaz Hussain

“…However, installation and data mining on a large number of meteorological stations require high cost and resources. …”
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Team Assembly Mechanisms and the Knowledge Produced in the Mexico’s National Institute of Geriatrics: A Network Analysis and Agent-Based Modeling Approach by Carmen García-Peña, Luis Miguel Gutiérrez-Robledo, Augusto Cabrera-Becerril, David Fajardo-Ortiz

“…In this paper, by a combination of text mining, coauthorship network analysis, and agent-based modeling, we analyzed and modeled the team assembly practices and the structure of the knowledge produced by scientists from INGER. …”
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Complexity of near-surface deformation and subsurface structure of the Chihshang creeping fault-line scarp, eastern Taiwan: insights from integration of geological and geophysical... by W. J. Huang, M. T. Fitrianto, C. C. Chen, P. Y. Chang, I. C. Yen, M. Le Béon, S. T. Lu

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QUALITY ASSESSMENT OF STUDENT COURSEWORKS: COMPETENCY-BASED APPROACH by T. M. Shamsutdinova

“…The content analysis of the Federal State Educational Standard of the Highest Education (FSES HE), the data mining technology and statistical methods of data processing were applied in the course of the present research. …”
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Fracture evolution in steel fiber reinforced concrete (SFRC) of tunnel under static and dynamic loading based on DEM-FDM coupling model by Yu Chen, Dongfeng Yu, Yixian Wang, Yanlin Zhao, Hang Lin, Jingjing Meng, Haoliang Wu

“…It shed a light on the perspectives of interface failure process, microcrack propagation, contact force field evolution and energy analysis, offering valuable insights for related mining engineering applications.…”
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Factors Influencing the Uptake and Sustainable Use of Soil and Water Conservation Measures in Bubaare Micro-Catchment, Kabale District, South Western Uganda by Willbroad, Byamukama, Ssemakula, E, Kalibwani, R

“…In Uganda, this has been attributed to poor land use practices with inadequate SWC measures and persistent nutrient mining of the soils with little or no replenishment. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

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Influences of Different Preparation Conditions on Catalytic Activity of Ag2O-Co3O4/γ-Al2O3 for Hydrogenation of Coal Pyrolysis by Lei Zhang, Sha Xiang-ling, Lei Zhang, Wang Rui, Zhang Lixin, Shu Xinqian

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Causal Discovery of Flight Service Process Based on Event Sequence by Qian Luo, Lin Zhang, Zhiwei Xing, Huan Xia, Zhao-Xin Chen

“…Therefore, this article proposes a framework to realize the discovery of process causal factors without assuming causal sufficiency. The optimized fuzzy mining process model is used as the service benchmark model, and the local causal discovery algorithm is used to discover the causal factors. …”
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Tolerance and accumulation characteristics of Brassica chinensis L. under the interactive treatments of lanthanum, cerium, and fluorine in soil by Ying Jiang, Daixi Zhang, Shirong Zhang, Ting Li, Guiyin Wang, Xiaoxun Xu, Yulin Pu, Lichao Nengzi

“…Abstract The extensive mining of bastnasite (CeFCO3) has caused severe pollution of lanthanum (La), cerium (Ce), and fluorine (F) in the surrounding farmland soil, threatening the safety of the soil-plant system. …”
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SwinClustering: a new paradigm for landscape character assessment through visual segmentation by Tingting Huang, Tingting Huang, Bo Huang, Bo Huang, Sha Li, Haiyue Zhao, Xin Yang, Jianning Zhu

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Using Spatial Regression to Model Potentially Toxic Metal (PTM) Mobility Based on Physicochemical Soil Properties by Melissa A. Magno, Arpita Nandi, Ingrid E. Luffman

“…Mining processes generate waste rock, tailings, and slag that can increase potentially toxic metal (PTM) concentrations in soils. …”
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CFD analysis of heat transfer enhancement in impinging jet array by varying number of jets and spacing by Zakia Rachdi, Nidhal Hnaien, Aboulbaba Eladeb, Badr M. Alshammari, Lioua Kolsi, Hacen Dhahri

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Predicting the delisted companies of Tehran Stock Exchange using machine learning based algorithms by Aminollah Zarghami, Meysam Doaei, Abtin Boostani

“…They were present in the stock market in the second group and were selected by systematic elimination method. Then, with data mining techniques, which are among the most efficient and up-to-date models of artificial intelligence, and with the help of multi-layered perceptron neural network classifiers, decision tree, and Bayesian theory classifiers, stock delisted companies have been predicted.Findings: The findings show that the Bayesian classifier had the best performance and the multilayer perceptron neural network was in the second place and the decision tree classifier was in the third place.Originality/Value: Little research has been done in the field of predicting delisted companies from the Iran capital market. …”
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Occupational health risk assessment and risk monetization based on xylene exposureMendeley Data by Fei Li, Boshen Wang, Baoli Zhu

“…Environmental Protection Agency, the Singapore Semi-Quantitative Risk Assessment Model (MOM), and the International Council on Mining and Metals (ICMM) Occupational Health Risk Assessment Model. …”
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Justification and selection of a method for restricting water inflow to horizontal wells in low-permeability terrigenous reservoir conditions using the example of the YuS2 formatio... by Olga V. Savenok, Nailya Kh. Zharikova, Elizaveta P. Chuykova, Alexander E. Verisokin, Mahmoud Hadid, Larisa V. Povarova, Denis S. Kalashnikov, Anna S. Domanova

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