Antimicrobial and Metal Resistance Genes in Bacteria Isolated from Mine Water in Austria by Jakob Prochaska, Heinz Reitner, Christian Benold, Alfred Stadtschnitzer, Buyantogtokh Choijilsuren, Dmitrij Sofka, Friederike Hilbert, Cátia Pacífico

“…<b>Conclusions</b>: Bacteria isolated from mine water harbored both MR and AMR genes. Given the exceptional diversity of bacterial species in these settings, 16S rRNA gene sequence analysis is the recommended method for accurate species identification. …”
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Stress Distribution and Gas Concentration Evolution during Protective Coal Seam Mining by Xingang Niu, Biming Shi, Zhigang Zhang, Yongjiang Zhang

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An Algorithm for Mining the Living Habits of Elderly People Living Alone Based on AIoT by Jiaxuan Wu, Yuxin Lu, Yueqiu Jiang

“…This study introduces a novel AIoT-based habit mining algorithm designed to enhance activity monitoring in smart home environments. …”
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Application of data mining to extract knowledge about the occurrence of fistulas after palatoplasty by Patrick Pedreira Silva, Elvio Gilberto da Silva, Vinicius Santos Andrade, Telma Vidotto de Sousa Brosco, Gabriela Aparecida Prearo, Maria Inês Pegoraro-Krook, Jeniffer de Cassia Rillo Dutka

“…Two models for detecting the outcome of surgery were induced using data mining techniques (Decision Tree and Apriori). …”
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Study on treatment mechanism of high sulphate mine water with different applied voltages by Daping XIA, Jiajia LIAO, Haiwei LI, Xinyi WANG, Xiaoying YUAN, Jian YANG

“…Electrogenic bacteria in the MEC-CS system were less frequently detected in the CS system. MEC enhances the efficiency of sulphuric acid removal by facilitating electron transfer in the microbial desulphurization process, and the method also enables the removal of heavy metal ions such as iron and the recovery of purer minerals. …”
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YOLOv5-RF: a deep learning method for tailings pond identification in high-resolution remote sensing images based on improved loss function by Weiming Zhang, Wenliang Jiang, Qiang Li, Yi Luo, Heng Zhang, Qisong Jiao, Yongsheng Li, Hongbo Jiang

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Quantifying Post-Purchase Service Satisfaction: A Topic–Emotion Fusion Approach with Smartphone Data by Peijun Guo, Huan Li, Xinyue Mo

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Rock mass integrity evaluation method of roadway surrounding rock mass based on borehole image acoustic radar data by Wang Jinchao, Han Zengqiang, Wang Chao, Zhang Guohua, Li Xiaobin

“…In response to the limitation of traditional borehole rock integrity evaluation methods on borehole wall images, this paper proposes a coal mine roadway rock integrity evaluation method based on borehole image-acoustic-radar data, utilizing the unique advantages of borehole image, acoustic scanning, and radar detection technologies in-situ. …”
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Identification of Ground Fissures in Mining Areas from UAV Images Based on RDC-UNet by Zhu Huashan

“…Traditional geological exploration methods are inefficient and costly, making the precise detection of large-scale fissures difficult. …”
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Distribution characteristics and value range of numerical simulation mechanical parameters in coal seam mining by Nan WANG, Yang LI, Gustavo André PANEIRO, Xinghai LEI, Xiaoming SHI, Yihang LI, Yutong CUI, Haotian LIU, Jinlong CAO, Tieji WANG

“…The application of numerical simulation methods in coal mining is extensive, particularly in simulating complex geological conditions and variable mechanical environments. …”
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Signal mining and analysis of adverse events of Brentuximab Vedotin base on FAERS and JADER databases. by Feilong Tan, Yanhua Li, Hongying Xia, Wenjie Yin

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Implementation of Several Data Mining Strategies on Electronic Nose Data for Identifying Gluten in Cheese by Mohammad Nasiri-Galeh, Mahdi Ghasemi-Varnamkhasti

“…In this research, with data mining methods, cheese with gluten and gluten-free cheese data were classified into separate categories, and a model was created to predict the type of new input data in terms of the nature of cheese (gluten-free and with gluten). …”
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A novel robust network construction and analysis workflow for mining infant microbiota relationships by Wei Jiang, Yue Zhai, Dongbo Chen, Qinghua Yu

“…This methodology could also be applied to future studies of genomic, metabolic, and proteomic data.IMPORTANCEAs a research method and strategy, network analysis holds great potential for mining the relationships of bacteria. …”
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Driver Intention Recognition for Mine Transport Vehicle Based on Cross-Modal Knowledge Distillation by Yizhe Zhang, Yinan Guo, Xiusong You, Lunfeng Guo, Bing Miao, Hao Li

“…However, in the underground coal mine environment, traditional vision-based methods face significant limitations in accuracy and adaptability. …”
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Dynamic evolutionary game model for coal mine safety monitoring and control and its application by Ruxiang QIN, Tao SHEN, Shihui LI

“…Ultimately, the game model was practiced and promoted in aspects such as formulating safety goals, solving the problem of information asymmetry, evaluating safety detection and monitoring work, and formulating detailed rules of safety detection strategies. …”
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Research on Calibration Algorithm of Camera and LiDAR for Transport Vehicles in Open-pit Mines by XU Yanghan, LIN Jun, KANG Gaoqiang, YOU Jun, YUE Wei, TONG Hao

“…In the intelligent driving system of transport vehicles in open-pit mines, the data fusion of camera and LiDAR plays a vital role in the detection, recognition and tracking of obstacles. …”
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Advances in key technologies for the management, restoration, development, and utilization of coal mining subsidence areas by Zhuanghan MENG, Yutao WANG, Yanzhe TIAN

“…Their management, restoration, development, and utilization play a significant role in ecological security, food security, and energy transformation. MethodsThis study aims to address the unresolved and emerging issues in the management of coal mining subsidence areas. …”
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Analysis and mining of L-ornithine L-aspartate adverse events based on FAERS database by Hui Zhang, Chaoqun Song, Dexi Zhao, Minghao Lin, Yujuan Fu

“…This study retrieved and extracted adverse event reports related to LOLA from the FAERS database from 2004Q1 to 2024Q3. The main method utilized was the reporting odds ratio for the detection of risk signals related to LOLA. …”
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Discrimination of river sandbanks for sand mining in high-mineral regions using multispectral images by Jit Mukherjee

“…This paper provides a novel method to detect river sandbank regions for sand mining using multi-spectral images without any labeled data, i.e. in unsupervised manner, over the seasons. …”
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Multi-dimensional constraint-based coal mining machine cutting path planning technology by Shuyang SONG, Shibo WANG, Yun WANG, Lijie WANG, Dongshuai SONG

“…To address this issue, this paper proposes a cutting path planning method for coal mining machines that integrates geological characteristics of the coal seam and multidimensional constraints of the mining equipment’s posture. …”
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