CURRENT ISSUES OF APPLICATION OF FOREIGN EXPERIENCE OF PREDICTING THE ECONOMIC NEEDS IN QUALIFIED PERSONS IN PRACTICE OF GOVERNMENT MANAGEMENT IN RUSSIAN FEDERATION by I. Gorokhova, E. Nikitskaya, N. Sorokina

“…It was noted that a holistic approach to forecasting the needs of the national economies in qualified personnel was developed abroad, based on the optimal combination of quantitative and qualitative methods. …”
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Detecting Student Engagement in an Online Learning Environment Using a Machine Learning Algorithm by Youssra Bellarhmouch, Hajar Majjate, Adil Jeghal, Hamid Tairi, Nadia Benjelloun

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Depression detection based on dual path DCGAN data generation and classification-regression network by LU Jingxue, LI Hongyan, ZHENG Ruichao, QIN Ruizhen

“…The existing research on voice-based depression detection has many problems, such as complicated feature extraction, single data expansion and uncontrollable prediction bias in regression prediction. …”
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HYPERANDROGENISM OF PUBERTY AGE AS A FACTOR REDUCING FERTILITY by E. M. Bogatyreva, G. A. Novik, G. F. Kutusheva

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Predicting pathogen evolution and immune evasion in the age of artificial intelligence by D.J. Hamelin, M. Scicluna, I. Saadie, F. Mostefai, J.C. Grenier, C. Baron, E. Caron, J.G. Hussin

“…Historically, strategies to address viral evolution have relied on responding to emerging variants after their detection, leading to delays in effective public health responses. …”
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Development of an in-house dual RT-qPCR assay for detecting SFTSV and Hantaan virus simultaneously by Xiaoyu Xue, Youde Liu, Chuan Song, Tingting Liu, Zishuai Liu, Wenjing Niu, Zhouling Jiang, Yanli Xu, Yuanyuan Zhang, Ling Lin, Zhihai Chen

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Detective Audit: Methodology for Assessing the Business Reliability of a Small and Medium-Sized Business Entity by A. E. Krioni

“…The purpose of the work is to develop methodological provisions for the detective form of the layout of the auditing. The offered method is steady in demand among customers of detectives as it opens new opportunities for the honest business executives. …”
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Identification and validation for biomarkers associated with mitochondrial metabolism in chronic obstructive pulmonary disease by Wenjun Wang, Lanxiang Wu, Chao Ouyang, Tao Huang

“…This study aimed to explore the underlying mechanisms of MM in COPD using bioinformatics methods.MethodsThe datasets GSE57148 and GSE8581 were downloaded from Gene Expression Omnibus (GEO), and 1,234 mitochondrial metabolism-related genes (MM-RGs) were downloaded from the literature. …”
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Computer prediction of biological activity of 2-methyl(phenyl)-6,9-epoksybenzo[g]quinoline-4,5,10-Trion and 5-methyl-(1,2,4-triazolo[4,3-a] quinoline) by Yu. V. Karpenko, , O. A. Brazhko, L. O. Omelyanchik

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AI Methods for New Psychoactive Substance (NPS) Design and Analysis by Enrico Greco

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Detection and Classification of Abnormal Power Load Data by Combining One-Hot Encoding and GAN–Transformer by Ting Yang, Hongyi Yu, Danhong Lu, Shengkui Bai, Yan Li, Wenyao Fan, Ketian Liu

“…Furthermore, it outperforms traditional methods such as LSTM-NDT, Transformer, OmniAnomaly and MAD-GAN in Overall Accuracy, Average Accuracy, and Kappa coefficient, thereby validating the effectiveness and superiority of the proposed anomaly detection and classification method.…”
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Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks by Ayan Chatterjee, Vajira Thambawita, Michael A. Riegler, Pal Halvorsen

“…In tests with physical activity data from Actigraph watches and MOX2-5 sensors, ADSiamNet achieved accuracies of 98.65% and 85.0%, respectively, outperforming other supervised anomaly detection methods. The model uses a contrastive loss function to compare input sequences and adjusts network weights iteratively during training to recognize intricate patterns. …”
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Nondestructive Detection of Rice Milling Quality Using Hyperspectral Imaging with Machine and Deep Learning Regression by Zhongjie Tang, Shanlin Ma, Hengnian Qi, Xincheng Zhang, Chu Zhang

“…This study confirmed that this nondestructive detection method for rice milling quality using hyperspectral imaging combined with machine learning and deep learning algorithms could effectively assess rice milling quality, thus contributing to breeding and growth management in the industry.…”
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Systematic review, Meta-analysis, and Pan-genome analytics predict the surging of Brucella melitensis by China and India-specific strains, elucidating the demand for enhanced prepa... by Ashwini Mallappa, Suresh Kuralayanapalya Puttahonnappa, Rajeshwari Shome, Sharanagouda S. Patil, Raghavendra G. Amachawadi, Kumar S.K. Mohan, Sudarshan Peramachanahalli Venkatesh, Varsha Ramesh, Yamini Sri Sekar, Hariprasad Thippeswamy, Archana Veeranagouda Patil

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Toward Semi-Autonomous Robotic Arm Manipulation Operator Intention Detection From Force Data by Abdullah S. Alharthi, Ozan Tokatli, Erwin Lopez, Guido Herrmann

“…These results highlight the potential of our method to improve the safety, precision, and efficiency of robotic operations in hazardous environments, thereby significantly reducing human radiation exposure.…”
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Enhancing Kármán Vortex Street Detection via Auxiliary Networks Incorporating Key Atmospheric Parameters by Yihan Zhang, Zhi Zhang, Qiao Su, Chaoyue Wu, Yuqi Zhang, Daoyi Chen

“…Experimental results demonstrate that the integration of horizontal wind speed and vertical air velocity achieves the highest detection metrics (precision of 0.838, recall of 0.797, mAP50 of 0.865, and mAP50-95 of 0.413) in precision-critical scenarios, outperforming traditional image-only detection method (precision of 0.745, recall of 0.745, mAP50 of 0.759, and mAP50-95 of 0.372). …”
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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…The PSO-based SVM method is shown superior performance compared to random forest and linear regression methods in terms of precision, recall, and specificity.…”
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A CRISPR/cas13a-assisted precise and portable test for Brucella nucleic acid detection by Haiwen Liu, Haiwen Liu, Ling Xu, Ying Xiu, Na Ta, Qingqing Xu, Yu Fan, Kun Li, Hongyan Zhao, Dongri Piao, Feng Ren, Hai Jiang

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A Novel Mechanism for Fire Detection in Subway Transportation Systems Based on Wireless Sensor Networks by Zhen-Jiang Zhang, Jun-Song Fu, Hua-Pei Chiang, Yueh-Min Huang

“…Fire is a common and disastrous phenomenon in subway transportation systems because of closed environment and large passenger flow. Traditional methods detect and forecast fire incidents by fusing the data collected by wireless sensor networks and compare the fusion result with a threshold. …”
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Leveraging IoT-Enabled Sensor Networks and Machine Learning for Early Detection and Management of Wheat Rust by Adnan Myasar M., Almoussawi Zainab Abed, Anuradha Kodali

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