Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach by Mohammad Heydari, Babak Teimourpour

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Gender and multilingual bias in observations of children with a developmental language disorder by Jitske de Vries, Max van der Velde, Bernard Veldkamp, Britt Hakvoort, Ebbo Bulder, Aafke Essen, Kim Schildkamp

“…PurposeThe aim of our study was to clarify DLD characteristics specific to boys and girls and monolingual and multilingual children, including the detection of possible bias in observations made by speech-language therapists.MethodsWe used text-mining techniques on existing individual treatment plans for children diagnosed with DLD (N = 994) written by speech-language therapists. …”
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Scale-Consistent and Temporally Ensembled Unsupervised Domain Adaptation for Object Detection by Lunfeng Guo, Yizhe Zhang, Jiayin Liu, Huajie Liu, Yunwang Li

“…Extensive experiments on challenging benchmarks, including Cityscapes to Foggy Cityscapes, Sim10k to Cityscapes, and Virtual Mine to Actual Mine, demonstrate that our method achieves state-of-the-art performance, with notable improvements in small object detection and overall cross-domain robustness. …”
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Safety profile of ramelteon from the perspective of physicians and pharmacists: a 20-year real-world pharmacovigilance analysis based on the FAERS database by Jianhong Wu, Yujie Zhou, Linghe Qiu, Liang Liu, Fei Wang, Lili Zhen, Na Li

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Dynamique de l'occupation du sol et trajectoire du couvert végétal autour de trois sites miniers du Sud Mali entre 1988 et 2019 by Souleymane Sidi Traore, Sidi Dembele, Djénéba Dembele, Nouhoum Diakite, Cheick Hamalla Diakite

“…A maximum likelihood classification method coupled with a change detection algorithm was to determine the extent and changes of land use and land cover classes. …”
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UNSUPERVISED DYNAMIC TOPIC MODEL FOR EXTRACTING ADVERSE DRUG REACTION FROM HEALTH FORUMS by Behnaz ESLAMI, Mehdi HABIBZADEH MOTLAGH, Zahra REZAEI, Mohammad ESLAMI, Mohammad AMIN AMINI

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Anomalous Node Detection in Blockchain Networks Based on Graph Neural Networks by Ze Chang, Yunfei Cai, Xiao Fan Liu, Zhenping Xie, Yuan Liu, Qianyi Zhan

“…In recent years, the mainstream method for detecting anomalous nodes in graphs has been the use of graph data mining techniques. …”
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A comparison of methods to elicit causal structure by Semir Tatlidil, Steven A. Sloman, Semanti Basu, Tiffany Tran, Serena Saxena, Moon Hwan Kim, Iris Bahar

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A New Local Optimal Spline Wavelet for Image Edge Detection by Dujuan Zhou, Zizhao Yuan, Zhanchuan Cai, Defu Zhu, Xiaojing Shen

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Convolutional Edge Constraint-Based U-Net for Salient Object Detection by Le Han, Xuelong Li, Yongsheng Dong

“…The salient object detection is receiving more and more attention from researchers. …”
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BERT and BERTopic for screening clinical depression on open-ended text messages collected through a mobile application from older adults by Moo-Kwon Chung, Sang Yup Lee, Taeksoo Shin, Ji Young Park, Sangwon Hwang, Min-Hyuk Kim, Jinhee Lee, Kyoung-Joung Lee, Hyo-Sang Lim, Erdenebayar Urtnasan, YeonSu Jung, Dan-Kyung Kim, Eunji Shin, Jin-kyung Lee

“…Abstract Background Despite the high suicide rate in South Korea, older adults are reluctant to see a psychiatrist. Recently, text mining has gained popularity to detect depression in social media posts, but older adults rarely use social media. …”
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Underground personnel detection and tracking using improved YOLOv7 and DeepSORT by Weiqiang FAN, Xuejin WANG, Yinghui ZHANG, Xiaoyu LI

“…Computer vision, as an emerging technology with high efficiency, intelligence, and low cost, has become an important highlight in the current construction of intelligent mines. The underground monitoring video is susceptible to interference factors such as artificial light source, dust and spray, which leads to the poor real-time performance, high missed & false detection rates and poor tracking accuracy of existing underground personnel monitoring methods using computer vision. …”
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Discriminating Types of Volcanic Electrical Activity: Toward an Eruption Detection Algorithm by S. A. Behnke, H. E. Edens, J. Theiler, D. J. Swanson, S. Senay, A. R. Van Eaton, M. Iguchi, D. Miki

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The Controlling Role of Geological Structures in Rock Slope Failure Mechanisms in Fold-and-Thrust Belts: An Example from the Ergetu Open-Pit Coal Mine, China by Jiewei Zhan, Biao Feng, Peng Cai, Quanli Zhao, Changle Pu, Jianbing Peng

“…This study comprehensively employed geological structure exploration and numerical simulation methods to elucidate the deformation evolution process of the western pit slope of the Ergetu Open-Pit Coal Mine and aims to reveal the sliding control mechanisms of the geological structures. …”
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Enhanced surface deformation monitoring in open-pit mines via dynamic filtering and multiscale adaptive interpolation of D-InSAR/offset tracking fusion by Yuejuan Chen, Dejun Zhao, Pingping Huang, Bo Yin, Zhiqi Gao, Weixian Tan, Yaolong Qi, Wei Xu

“…D-InSAR is sensitive to noise in low-coherence areas, while offset tracking lacks accuracy, making both insufficient for complex mining monitoring. Robust methods for stable monitoring of highly dynamic, large-gradient deformation remain urgently needed. …”
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A Deep Learning Approach to Identify Rock Bolts in Complex 3D Point Clouds of Underground Mines Captured Using Mobile Laser Scanners by Dibyayan Patra, Pasindu Ranasinghe, Bikram Banerjee, Simit Raval

“…This makes frequent assessments of such bolts critical for maintaining rock mass stability and minimising risks in underground mining operations. Where manual surveying of rock bolts is challenging due to the low-light conditions in the underground mines and the time-intensive nature of the process, automated detection of rock bolts serves as a plausible solution. …”
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Traffic Flow Detection Using Distributed Fiber Optic Acoustic Sensing by Huiyong Liu, Jihui Ma, Wenfa Yan, Wensheng Liu, Xi Zhang, Congcong Li

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Detection of surface defects on conveyor belts based on adversarial repair networks by YANG Zelin, YANG Liqing, HAO Bin

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A post-marketing pharmacovigilance study of triazole antifungals: adverse event data mining and analysis based on the FDA adverse event reporting system database by Yalan Tian, Min Jin, Hong Ning

“…Employ the Reporting Odds Ratio (ROR) and Proportional Reporting Ratio (PRR) methods for data mining. Filter out ADE signals detected by both the ROR and PRR methods, and categorize these ADE signals by System Organ Class (SOC) according to the Medical Dictionary for Regulatory Activities (MedDRA 26.0).ResultsA total of 8,898 ADE reports with voriconazole as the primary suspect drug were retrieved, 1,948 for posaconazole, and 944 for isavuconazole. …”
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Antibiotics-induced pulmonary embolism: A disproportionality analysis in Food and Drug Administration database of Adverse Event Reporting System using data mining algorithms by Pramod Kumar Adusumilli, Foujia Begum, Ankita Ashok Sangnure, Jeesa George

“…Aim: The study was designed to detect the association between pulmonary embolism and antibiotics by disproportionality analysis in the Food and Drug Administration database of Adverse Event Reporting System (FAERS) using data mining algorithms (DMAs). …”
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