Rock fracture type recognition based on deep feature learning of microseismic signals by LI Dianze, XU Huajie, ZHANG Bo

“…Accurate identification of rock fracture types is crucial for the prediction and early warning of coal mine rockburst hazards. Microseismic monitoring has been widely used for detecting rock fractures. …”
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Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift by Yange Sun, Zhihai Wang, Haiyang Liu, Chao Du, Jidong Yuan

“…The biggest challenge in data streams mining is to deal with concept drifts, during which ensemble methods are widely employed. …”
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A Novel Identified Long Intergenic Noncoding RNA, LINC01574, Contributes to Breast Cancer Deterioration via the Regulation of miR-6745/TTYH3 Axis by Liang Zhang, Lingyuan Wu, Mengjiao Wei, Peikai Ding, Xingsong Tian, Kunbing Zhu

“…Methods. The expression and prognosis of LINC01574 in BC were detected by integrating analysis of data mining, bioinformatics, and RT-qPCR. …”
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Two-Stage Caving Characteristics of Complex Irregular Goaf: A Case Study in China by Junyang Zhang, Zonghong Zhou, Jing Zhang, Yin Liu, Yang Liu

“…Taking the complex irregular goaf of the Shirengou Iron Mine in China as the research object, the 3D laser scanning technology is used to detect the goaf shape and analyze the cause of the formation. …”
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Introduction of neural network technologies to optimise the control of the operating modes of a sucker-rod pump installation by O. Turchyn

“…As a result, the introduction of neural network technologies not only optimises mining processes, but also helps to reduce operating costs. …”
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LA-ICP-MS Mapping and Element Distribution Characteristics of Garnet from the Altered Wall-rock of the Gongchangling Iron Deposit in Liaoning Province by Xuke HE, Yan LUAN, Xiaohui SUN, Wei CHEN, Aobin NIU, Longqiang GAO

“…BACKGROUNDWith the advantage of high spatial resolution, low detection limit, and multi-element surface analysis, the mapping technique of laser ablation inductively coupled plasma-mass spectrometry (LA-ICP-MS) provides a new method for mineralogy research, which can display the element distribution characteristics in minerals, and constrain the evolution process of the ore-genesis fluid and ore genesis.　　…”
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Joint kinematics and dynamics analysis of a 6-DOF loading and unloading industrial robot based on ADAMS and ANSYS by J. Xu, Z. Xu, L. Yang, Z. Tao, M. Qu, H. Wu, M. Wu, M. Wu, D. Ye, D. Ye, D. Ye

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Safety of creatine supplementation: a scientometrics analysis on the impact of the ‘Creatine For Health’ initiative and introduction to CREAS by Diego A. Bonilla, Drew E. Gonzalez, Gustavo Humeres, Jisun Chun, Kelly Hines, Adriana Gil, Richard B. Kreider

“…Additionally, a comparative analysis of association word mining was conducted to identify keywords statistically associated with comments containing “monohydrate” or “HCl” on YouTube. …”
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Optimized NaYF₄: Er³⁺/Yb³⁺ Upconversion Nanocomplexes via Oleic Acid for Biomedical Applications by Ha Thi Phuong, Le Thi Vinh, Tong Quang Cong, Tran Quoc Tien, Nguyen Duc Van, Vu Thi Hong Ha, Vu Ngoc Phan, Le Thi Hoi, Pham Duc Thang, Do Thi Thao, Tran Thu Huong

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Letter from editor by Carlos A. Vargas

“…From Morocco, a study aimed to evaluate geostatistical methods for delimitation of anomalies detected in the phosphatic series of Sidi Chenane found that the exponential model is the best one to represent the spatial variability of their geoelectric data; models of the geology were successfully obtained from geostatistical method, which help mapping the phosphate deposit inclusions and the estimations of phosphate reserves were improved and better constrained. …”
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Early Failure Diagnosis of Scraper Conveyor Gearboxes Based on DS Evidence Theory and Multimodal Data Fusion by Long Feng, Zeyu Ding, Qiang Zhang, Feng Zhou, Jin Peng Su, Yang Wang, Xinye Liu, Yibing Yin

“…Due to the influence of working conditions in underground coal mines, the gear transmission system is often subject to the impact of nonuniform large loads, which is very prone to failures, and affected by environmental interference, it is difficult to detect the early abnormal signals of the scraper conveyor gearbox in the conventional industrial scenarios of fault monitoring methods. …”
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Region search based on hybrid convolutional neural network in optical remote sensing images by Shoulin Yin, Ye Zhang, Shahid Karim

“…Third, we design a new difficult sample mining method for the training process. At the end, in order to improve the region search precision, we use an iterative bounding box regression algorithm to normalize the detected bounding boxes, in which the regions contain candidate objects. …”
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Research on the characteristics of the falling behavior of mixed coal and gangue by SHAN Pengfei, YANG Tong, SUN Haoqiang, XI Bojia

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Percepção de agricultores familiares impactados pela mineração em tempos de Covid-19 sobre suas condições de saúde e segurança alimentar e nutricional by Aniele Magata Pinheiro, Marisa Alice Singulano, Marília Alfenas de Oliveira Sírio, Silvia Eloiza Priori, Maria Cristina Passos

“…The research aimed to understand the perceptions of family farmers with children and pregnant women in Mariana and Ouro Preto, in the state of Minas Gerais, Brazil, impacted by mining and the COVID-19 pandemic, about their health status and food security. …”
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Global Trends in Studies on the Presence of Demodex spp in Patients Diagnosed with Blepharitis by Rahmi Yildiz, Milad Afşar, Sadi Elasan

“… Background: The main objective of this study is to review publications on the presence of Demodex spp. in patients diagnosed with blepharitis worldwide and to analyse the trends and groups in this field. Methods: This bibliometric study was conducted to detect the presence of Demodex spp in patients diagnosed with bleph­aritis worldwide between 1984 and 2023. …”
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Machine learning-based prediction of distant metastasis risk in invasive ductal carcinoma of the breast. by Jingru Dong, Ruijiao Lei, Feiyang Ma, Lu Yu, Lanlan Wang, Shangzhi Xu, Yunhua Hu, Jialin Sun, Wenwen Zhang, Haixia Wang, Li Zhang

“…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …”
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Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis by Yueying Li, Xiaotong Zhang, Shihan Guan, Guolin Ma, Youyong Kong

“…Exploring the pathogenic mechanisms of brain disorders within population is an important research in the field of neuroscience. Existing methods either combine clinical information to assist analysis or use data augmentation for sample expansion, ignoring the mining of individual information and the exploration of inter-individual associations in population. …”
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Integrating brain-inspired computation with big-data analytics for advanced diagnostics in neuroradiology by Senthil Kumar, J. Ramprasath, V. Kalpana, Manikandan Rajagopal, Maheswaran S, Rupesh Gupta

“…Methods: The BDA-D architecture utilizes data mining, pattern recognition, and machine learning to glean useful neuroanatomical characteristics from massive datasets. …”
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FTO effects the proliferation, invasion, and glycolytic metabolism of colon cancer by regulating PKM2 by Kongyan Zhang, Fei Zhang, Jiahe Wang

“…However, research on the function of FTO in CRC is scarce. Methods Bioinformatics analysis of TCGA and UALCAN databases was conducted to examine FTO expression in CRC. …”
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Prediction of recurrent febrile seizures risk during the same febrile illness in children at a single tertiary centre in Turkiye by Gül Yücel, Ahmet Kadir Arslan, Bilge Özgör, Serdal Güngör

“…Background This study aimed to develop a risk prediction model based on association rule mining to predict recurrent febrile seizures (RFS).Methods This is a retrospective observational study that examined the medical records of 105 children who were followed up with febrile seizure (FS) in a tertiary paediatric emergency department between October 2022 and December 2023. …”
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