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Predicting The Risk Of Water-Sand Inrushes From Coal Seam Roofs Based On A Small-Size Sample Dataset, ZHANG Wenquan, LI Zixu, ZHU Xianxiang, QIU Wei, ZHANG Chengjie 2026 College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China; State Key Laboratory of Disaster Prevention and Ecology Protection in Open-Pit Coal Mines, Shandong University of Science and Technology, Qingdao 266590, China

Predicting The Risk Of Water-Sand Inrushes From Coal Seam Roofs Based On A Small-Size Sample Dataset, Zhang Wenquan, Li Zixu, Zhu Xianxiang, Qiu Wei, Zhang Chengjie

Coal Geology & Exploration

Objective The eastern and northern regions of China exhibit thick unconsolidated layers and thin bedrocks, with water-sand inrush disasters occurring frequently. Therefore, accurately predicting the risk of water-sand inrushes from coal seam roofs holds great significance for safe coal mining. However, the water-sand inrushes in these regions exhibit complex disaster-causing mechanisms, which involve the coupling effects of multiple factors. Accordingly, the real-time prediction of the water-sand inrush risk in the field poses challenges including high risk and cost. These issues lead to difficult data acquisition and severely insufficient samples, limiting the accuracy and performance of traditional prediction models. Therefore, there …


An Experimental Study On The Mechanical Property Evolution Of Granites Post-High-Temperature Treatment Under Loading And Unloading Conditions, HAO Wencai, QIAO Wei, LIU Huichen, ZHU Zhennan, WANG Hao, LIU Richeng, GUO Jie, XIE Jingyu, CHENG Xianggang, LYU Ruijie 2026 Inner Mongolia Coal Construction Engineering (Group) Corporation, Hohhot 010010, China

An Experimental Study On The Mechanical Property Evolution Of Granites Post-High-Temperature Treatment Under Loading And Unloading Conditions, Hao Wencai, Qiao Wei, Liu Huichen, Zhu Zhennan, Wang Hao, Liu Richeng, Guo Jie, Xie Jingyu, Cheng Xianggang, Lyu Ruijie

Coal Geology & Exploration

Objective The surrounding rocks of wellbores remain in a state of stress release during the drilling and heat extraction of deep geothermal reservoirs. Therefore, investigating the characteristic stresses of heat-treated granites under loading and unloading conditions is critical to understanding the crack evolution in deep hot dry rock (HDR) reservoirs during their stimulation. Methods Targeting the granite specimens after heat treatment at varying high temperatures (e.g., 200 ℃, 300 ℃, 400 ℃, 500 ℃, and 600 ℃), this study conducted triaxial loading and unloading tests under a confining pressure of 60 MPa, aiming to investigate the impacts of high temperature …


A Model For Predicting Coal Mining-Induced Surface Subsidence During Theinitial, Active, And Decline Stages, ZHANG Liangliang, LIU Xiya, CHENG Hua, DU Shaoneng 2026 School of Civil Engineering and Architecture, Anhui University of Science & Technology, Huainan 232001, China; Anhui Key Laboratory of Mining Construction Engineering, Anhui University of Science & Technology, Huainan 232001, China

A Model For Predicting Coal Mining-Induced Surface Subsidence During Theinitial, Active, And Decline Stages, Zhang Liangliang, Liu Xiya, Cheng Hua, Du Shaoneng

Coal Geology & Exploration

Objectives and Methods Presently, there remains a lack of theoretical models for predicting the coal mining-induced surface subsidence during the initial, active, and decline stages. Given this, this study derived the time-varying exponential function of the ratio of maximum to dynamic surface subsidence first using measured data from seven coal mines. Accordingly, an improved Knothe time function model was established. Then, the impacts of the model parameters on dynamic surface subsidence W(t), subsidence velocity v(t), and subsidence acceleration a(t) were analyzed. Subsequently, based on the improved Knothe model and the critical …


Soil Microbial Biomass And Organic Carbon Fractions Under Different Natural Restoration Years In Arid Coal Mining Subsidence Areas In Xinjiang, China, XIAO Li, BI Yinli, WANG Dongdong, LI Jianfeng, GONG Hanlin, DENG Aojuan, HOU Wensheng 2026 Institute of Ecological Environment Restoration in Mine Areas of West China, Xi’an University of Science and Technology, Xi’an 710054, China; Tianshan Laboratory, Urumqi 830023, China

Soil Microbial Biomass And Organic Carbon Fractions Under Different Natural Restoration Years In Arid Coal Mining Subsidence Areas In Xinjiang, China, Xiao Li, Bi Yinli, Wang Dongdong, Li Jianfeng, Gong Hanlin, Deng Aojuan, Hou Wensheng

Coal Geology & Exploration

Objective This study aims to elucidate the influence of the natural restoration process on changes in soil microbial biomass and organic carbon fractions in coal mining subsidence areas. This effort will provide a crucial scientific foundation for understanding the natural ecological restoration process and carbon accumulation dynamics in arid coal mining subsidence areas.Methods Arid coal mining subsidence areas in Xinjiang, China were investigated in this study. Using the space-for-time substitution approach, sample plots were selected from an unmined area and areas having undergone natural restoration for one, three, eight, and 12 years. Subsequently, systematic analyses were conducted on the …


A Dynamic Prediction Method For Coal Seam Thickness Based On The Kpca-Pso-Svr Model, YANG Tun, YE Shugang, MA Ming, WANG Qianyao 2026 CCTEG Xi’an Research Institute (Group) Co., Ltd., Xi’an 710077, China

A Dynamic Prediction Method For Coal Seam Thickness Based On The Kpca-Pso-Svr Model, Yang Tun, Ye Shugang, Ma Ming, Wang Qianyao

Coal Geology & Exploration

Objectives and Methods With the development of high-precision and intelligent seismic exploration techniques, it is necessary to accurately quantify and interpret coal seam thickness to provide reliable data for constructing high-precision three-dimensional geological models. This will help ensure safe and efficient coal mining in coal mines. In coal seam thickness prediction, the comprehensive multi-attribute analysis method faces challenges such as the cumbersome selection of optimal seismic attributes and the low predictive accuracy of regression models. To address these challenges, this study proposed a support vector regression (SVR) prediction model based on kernel principal component analysis (KPCA) and particle swarm optimization …


A Surface Wave Inversion Method Incorporating Interface Constraints And Its Application In The Assessment Of Ground Vibrations Caused By Mining-Induced Seismicity, LI Cheng, QIAN Changbao, LIU Ying, CHENG Yi, NI Shengjun, YAO Huajian 2026 State Key Laboratory of Digital Intelligent Technology for Unmanned Coal Mining, Anhui University of Science & Technology, Huainan 232001, China; School of Earth and Space Scienses, University of Science and Technology of China, Hefei 230026, China

A Surface Wave Inversion Method Incorporating Interface Constraints And Its Application In The Assessment Of Ground Vibrations Caused By Mining-Induced Seismicity, Li Cheng, Qian Changbao, Liu Ying, Cheng Yi, Ni Shengjun, Yao Huajian

Coal Geology & Exploration

Objective In mining areas of western China, underlying interfaces with significant fluctuations affect seismic exploration accuracy while also posing challenges to the assessment of ground vibrations triggered by dynamic hazards such as mining-induced seismicity. To enhance the characterization of shallow velocity structures and to provide support for dynamic hazard prevention and control in mining areas, this study developed an inversion method incorporating prior information about geological interfaces.Methods A dense array consisting of 489 single-component and 108 three-component seismometers was deployed within a mining area in Longkou Town, Junggar Banner, Inner Mongolia. Accordingly, continuous ambient noise data for about one …


A Gaussian Process Regression-Based Denoising Method For Transient Electromagnetic Signals, WANG Peng, SHI Jiaxing, LU Kai, HU Jinru, WEN Guangyuan, ZHAI Haojie 2026 College of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, China

A Gaussian Process Regression-Based Denoising Method For Transient Electromagnetic Signals, Wang Peng, Shi Jiaxing, Lu Kai, Hu Jinru, Wen Guangyuan, Zhai Haojie

Coal Geology & Exploration

Objective The transient electromagnetic (TEM) method serves as a primary geophysical technique for groundwater detection in coalfields at present, with the detection results directly influencing the implementation of water hazard prevention and control in coal mines. Since it is difficult to avoid electromagnetic interference sources such as power lines during data acquisition, TEM signals are prone to be contaminated by electromagnetic noise. Given that primary denoising techniques such as wavelet transform and empirical mode decomposition (EMD) are yet to be further improved, this study developed a novel Gaussian process regression (GPR)-based denoising method for TEM signals. Methods First, time alignment …


Synergistic Breaking Of Composite Key Strata And Energy Evolution Of The Overburden Under Mining Disturbances, WU Boqiang, WANG Xiaodong, ZHU Shibin, XU Ganggang, ZHANG Yuehong 2026 CCTEG Xi’an Research Institute (Group) Co., Ltd., Xi’an 710077, China; College of Water Resources and Hydro-electric Engineering, Xi’an University of Technology, Xi’an 710048, China; State Key Laboratory of Disaster Prevention and Ecology Protection in Open-pit Coal Mines, Xi’an 710077, China; Shaanxi Union Research Center of University and Enterprise for Mine Ecological Environment Protection and Restoration in the Middle of Yellow River Basin, Xi’an 710077, China

Synergistic Breaking Of Composite Key Strata And Energy Evolution Of The Overburden Under Mining Disturbances, Wu Boqiang, Wang Xiaodong, Zhu Shibin, Xu Ganggang, Zhang Yuehong

Coal Geology & Exploration

Objective This study aims to explore the synergistic breaking responses and energy evolution mechanisms of composite key strata under mining disturbances. These efforts will provide robust theoretical support for the prevention and control of disaster-causing accidents in the surrounding rocks of coal seams and hold great significance for ensuring safe mining operations underground. Methods The breaking and instability characteristics of composite key strata under mining disturbances were analyzed by integrating physical simulation using similar materials, numerical calculation, and theoretical analysis. Accordingly, the accumulation and release patterns of strain energy and gravitational potential energy in the overburden were investigated. Finally, the …


Mechanism And Prevention Of Rockburst In Deep Asymmetric Goaf Areas Coal Seam Main Roadway, LU Xihui, ZHAO Weiwei, HAO Yinghao, CAO Anye, SU Shijie, LYU Guowei, BAI Gang 2026 Coal Branch of ZTHC Energy Limited Liability Company, Ordos 017300, China

Mechanism And Prevention Of Rockburst In Deep Asymmetric Goaf Areas Coal Seam Main Roadway, Lu Xihui, Zhao Weiwei, Hao Yinghao, Cao Anye, Su Shijie, Lyu Guowei, Bai Gang

Coal Geology & Exploration

Objective With an increase in the utilization of main roadways in coal seams, rockburst have occurred increasingly more frequently in these main roadways. Investigating the mechanisms behind these rockburst under specific conditions, as well as differentiated prevention and control measures, holds great significance for the safe extraction of deep coal resources.Methods This study investigated the main roadways at risk of strong rockburst within a coal mine in Inner Mongolia. By integrating a range of methods, including field measurement, theoretical analysis, and FLAC3D-based numerical simulation, this study examined the evolutionary patterns of both the surrounding rock stress and the overburden …


Sedimentary Evidence For The Connection Between The Southern Margin Of The Ordos Basin And The Paleotethys Ocean During The Permian To Early Triassic, LI Zonglin, SHI Yongsheng, LI Wenhou, CHEN Long, SUN Jiaopeng 2026 State Key Laboratory of Continental Evolution and Early Life, Department of Geology, Northwest University, Xi'an 710069, China

Sedimentary Evidence For The Connection Between The Southern Margin Of The Ordos Basin And The Paleotethys Ocean During The Permian To Early Triassic, Li Zonglin, Shi Yongsheng, Li Wenhou, Chen Long, Sun Jiaopeng

Coal Geology & Exploration

Objective Understanding the Permian-Early Triassic sedimentary environments along the southern margin of the Ordos Basin (also referred to as the SMOB) and their tectono-sedimentary responses to the Paleotethys Ocean plays a key role in determining the paleogeographic evolution and energy resource potential of the southern margin of the North China Craton. Methods This study investigated the Qinling Orogenic Belt (QOB) and the SMOB. Through systematic sedimentological examination based on drilling data and outcrop sections, along with a systematic review of existing paleontological findings, this study re-determined the Permian-Early Triassic tectono-paleogeographic frameworks along the SMOB. Furthermore, this study explored the paleogeography …


Characteristics And Mechanisms Of Guar Gum Degradation By Indigenous Bacteria In Coal Seams, LI Bing, GUO Hongyu, ZHOU Xiao, WANG Haichao, JIAN Kuo, CHEN Zhaoying, ZHANG Bin 2026 School of Life Sciences and Engineering, Henan University of Urban Construction, Pingdingshan 467000, China; School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, China

Characteristics And Mechanisms Of Guar Gum Degradation By Indigenous Bacteria In Coal Seams, Li Bing, Guo Hongyu, Zhou Xiao, Wang Haichao, Jian Kuo, Chen Zhaoying, Zhang Bin

Coal Geology & Exploration

Background Hydraulic fracturing serves as a stimulation technique extensively used in the commercial development of coalbed methane (CBM), in which guar gum is commonly used as a fracturing fluid thickener. However, under the low-temperature conditions of coal reservoirs, conventional chemical gel-breaking methods often suffer from incomplete gel breaking and high residue content, resulting in formation damage and a decrease in the production efficiency of CBM wells. Methods Using indigenous bacteria in coal seams as functional strains, this study conducted microbial gel-breaking experiments. It systematically investigated the characteristics of guar gum biodegradation by these bacteria and determined the dominant microbial taxa …


A Method For Diffracted Wave Separation And Imaging Based On The Gwa-Vmd, LIN Peng, LIU Yulin, PENG Suping, CUI Xiaoqin, GUO Changbo, YANG Jie 2026 National Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology (Beijing), Beijing 100083, China; Key Laboratory of Mineralization and Exploration of the Upper Yellow River, Ministry of Natural Resources, Lanzhou 730046, China

A Method For Diffracted Wave Separation And Imaging Based On The Gwa-Vmd, Lin Peng, Liu Yulin, Peng Suping, Cui Xiaoqin, Guo Changbo, Yang Jie

Coal Geology & Exploration

Background Small-scale discontinuous geobodies such as faults, collapse columns, and pinch-out points are widely present in underground spaces. They are closely associated with the safe production and development of underground resources such as coals, oil, and gas. As the wave field responses of small-scale discontinuous geobodies, diffracted waves can overcome the shortcomings of traditional reflected wave imaging, being capable of accurately identifying and localizing small-scale geobodies. Objective and Method This study aims to achieve diffracted wave imaging of discontinuous geobodies. Based on the differences in kinematic and dynamic characteristics between reflected and diffracted waves, this study leveraged the precise self-adaptive …


A Reflected Radio Wave-Based Exploration Method For Goaves In Closed/Abandoned Mines And Its Application, PANG Yao, WU Rongxin, WANG Jinguo, HU Ze'an 2026 School of Earth and Environment, Anhui University of Science and Technology, Huainan 232000, China

A Reflected Radio Wave-Based Exploration Method For Goaves In Closed/Abandoned Mines And Its Application, Pang Yao, Wu Rongxin, Wang Jinguo, Hu Ze'an

Coal Geology & Exploration

Objective and Method The redevelopment and reutilization of closed/abandoned mines hold great research significance and practical production value due to their substantial number. In China, the secondary development and utilization of energy and spatial resources in such mines started late, rendering foundational theories and key technologies relatively underdeveloped. To investigate the developmental characteristics of underground spaces within goaves in closed/abandoned mines, this study proposed a reflected radio wave-based exploration method. Specifically, an observation system with a fixed transmitter-receiver (TR) spacing was deployed in rock roadways above/below or on both sides of the mining face in a closed/abandoned mine. Then, a …


Cross-Modal Lidar-Camera Joint Calibration For Heading And Mining Face In Coal Mines, YANG Wenjuan, REN Zhiteng, ZHANG Xuhui, DU Yuyang, LI Changpeng, ZHANG Chao, XU Jie, WAN Jicheng, LEI Mengyu 2026 College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China; Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control, Xi’an 710054, China

Cross-Modal Lidar-Camera Joint Calibration For Heading And Mining Face In Coal Mines, Yang Wenjuan, Ren Zhiteng, Zhang Xuhui, Du Yuyang, Li Changpeng, Zhang Chao, Xu Jie, Wan Jicheng, Lei Mengyu

Coal Geology & Exploration

Objective In underground coal mines, it is challenging to extract the features of the heading and mining face stably under insufficient illumination, significant dust interference, and sparse point clouds. This severely undermines the accuracy and robustness of camera-LiDAR joint calibration based on underground unstructured scene characteristics.Methods Targeting complex operating conditions, including fully mechanized mining face and tunneling roadways, this study developed a LiDAR-camera joint calibration method based on cross-depth feature coupling. In this method, an improved random sample consensus (RANSAC) algorithm for multi-plane fitting was designed for feature extraction. By integrating normal vector-based pre-clustering and an adaptive iteration mechanism, …


Table Of Contents, The Editors 2026 China Coal Technology and Engineering Group (CCTEG)

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.


Transformer-Driven Intelligent Prediction For The Time-Series Features Of Mine Pressure In Fully Mechanized Mining Face, DU Feng, CHEN Bo, WANG Wenqiang, PU Hai, DU Xueming, LI Guodong, QIAO Rui, LI Xinlei, XU Jie, CAO Yu 2026 School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, China; Collaborative Innovation Center for Coal Safety Production and Clean and Efficient Utilization, Jiaozuo 454003, China; Engineering Technology Research Center of Mine Water Disaster Control and Water Resources Utilization, Henan Polytechnic University, Jiaozuo 454003, China; Zhengzhou Institute for Advanced Research of Henan Polytechnic University, Zhengzhou 451464, China

Transformer-Driven Intelligent Prediction For The Time-Series Features Of Mine Pressure In Fully Mechanized Mining Face, Du Feng, Chen Bo, Wang Wenqiang, Pu Hai, Du Xueming, Li Guodong, Qiao Rui, Li Xinlei, Xu Jie, Cao Yu

Coal Geology & Exploration

Objective Mine pressure prediction represents an important means for early warning and management of disasters in coal seam roofs, serving as the prerequisite and foundation for safe production in intelligent mines. However, the complex and variable conditions of fully mechanized mining face lead to significant variations in the distribution of support pressure data acquired using electro-hydraulic control systems, complicating mine pressure prediction. Methods This study developed a Transformer-based mine pressure prediction model. Specifically, missing mine pressure data were filled using linear interpolation, and the data structure of mine pressure was adjusted using a sliding window algorithm. Based on the time-series …


Mechanisms Behind Permeability Enhancement Of Coal Reservoirs Induced By Electro-Chemical Composite Energy Pulse Fracturing, MENG Bingbing, CAO Yunxing, DUAN Hongfei, ZHANG XinSheng, ZHAO Lijuan, SHI Bin, YU Guofeng 2026 School of Civil Engineering, Sun Yat-sen University, Zhuhai 519000, China; State Key Laboratory for Tunnel Engineering, Sun Yat-sen University, Guangzhou 510275, China; Henan International Joint Laboratory of Unconventional Energy Geology and Development, Jiaozuo 454003, China

Mechanisms Behind Permeability Enhancement Of Coal Reservoirs Induced By Electro-Chemical Composite Energy Pulse Fracturing, Meng Bingbing, Cao Yunxing, Duan Hongfei, Zhang Xinsheng, Zhao Lijuan, Shi Bin, Yu Guofeng

Coal Geology & Exploration

Background Electro-chemical composite energy pulse fracturing (ECCE-PF) technology (i.e., the electrical explosion of metal wires igniting energetic materials) can effectively change the pore structure of coal reservoirs and enhance coal seam permeability. Elucidating the mechanisms behind the influence of this technology on both the scales of modified coal pores/fractures and methane desorption pattern can provide a theoretical basis for the wide application of this technology to coal seam permeability enhancement. Methods This study investigated coal samples from the Zhangcun Coal Mine in the Lu’an coal mining area, Shanxi Province. Using a self-developed ECCE-PF experimental platform, an experimental study was conducted …


Development Potential Of The Ucg-Eg Industry In Guizhou Province, China, WANG Lingxia, ZHOU Ze, YI Tongsheng, QIN Yong, YANG Lei, KONG Weimin 2026 Guizhou Provincial Key Laboratory of Coal Fluidized Mining/Bonanza Precision Mining and Environmental Protection Guizhou Provincial Academician Expert Workstation, Guizhou Geological and Mineral Resources Development Institute, Guiyang 550081, China; Guizhou Youchi Energy Technology Co., Ltd., Guiyang 550014, China

Development Potential Of The Ucg-Eg Industry In Guizhou Province, China, Wang Lingxia, Zhou Ze, Yi Tongsheng, Qin Yong, Yang Lei, Kong Weimin

Coal Geology & Exploration

Objective and Methods This study aims to promote the sustainable development of the underground coal gasification (UCG) industry and to extend the industrial chain of syngas development and utilization. To this end, this study analyzed the UCG-electricity generation (UCG-EG) potential of Guizhou Province based on the evaluation results of resources allowing UCG and the current status of energy and electric power structures of this province. A 3D analytical principle model for UCG-EG industry scenarios in Guizhou was constructed through scenario modelling. Using this model, the prospects of the UCG industry under low, medium, high, and ultra-high scenarios were quantitatively depicted. …


Advances In Research On Enrichment Of Major Metallic Elements Within Coals In Coal-Accumulating Basins Across Xinjiang, China, NING Shuzheng, WANG Xiaoxia, HUANG Shaoqing, YAN Xiaoyun, XU Xiaotao, ZHANG Jianqiang, ZHANG Li, HOU Yuehua 2026 General Prospecting Institute of China National Administration of Coal Geology, Beijing 100038, China

Advances In Research On Enrichment Of Major Metallic Elements Within Coals In Coal-Accumulating Basins Across Xinjiang, China, Ning Shuzheng, Wang Xiaoxia, Huang Shaoqing, Yan Xiaoyun, Xu Xiaotao, Zhang Jianqiang, Zhang Li, Hou Yuehua

Coal Geology & Exploration

Background Xinjiang serves as an important coal production base in northwestern China. This region holds approximately 40% of China’s predicted coal reserves, with its coal resources primarily distributed in coal-accumulating basins such as Junggar, Yili, Tuha, and Santanghu.Methods Focusing on strategic metals (e.g., lithium, rare earth elements, zirconium, hafnium, niobium, and tantalum), hazardous metals (e.g., arsenic, mercury, and sodium), radioactive metals (e.g., uranium and thorium), and other heavy metals (e.g., iron and manganese), this study explored the enrichment mechanisms and metallogenic potential of these metallic elements in coals across representative coal-accumulating basins in Xinjiang.Advances The metallic element enrichment …


Factors Influencing Productivity And Production System Optimization For Deep Coalbed Methane In The Daning-Jixian Block, Ordos Basin, ZHAO Haifeng, JIA Zhaojie, CHEN Mengqi, YANG Ziyi, WANG Bin, LIN Hongliang, YANG Yanfeng 2026 College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China; State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing 102249, China

Factors Influencing Productivity And Production System Optimization For Deep Coalbed Methane In The Daning-Jixian Block, Ordos Basin, Zhao Haifeng, Jia Zhaojie, Chen Mengqi, Yang Ziyi, Wang Bin, Lin Hongliang, Yang Yanfeng

Coal Geology & Exploration

Objective Deep coalbed methane (CBM) reservoirs are characterized by ultra-low porosity, ultra-low permeability, and super saturation, rendering it impractical to copy the productivity models of shallow coalbed methane and shale gas. Furthermore, the production performance of deep CBM varies significantly across different well sections. However, the impacts of different factors on the productivity of deep CBM remain poorly understood. This study conducted a numerical simulation analysis of the productivity of deep CBM in the Daning-Jixian block along the eastern margin of the Ordos Basin based on the geological characteristics of the block, aiming to explore the impacts of various key …


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