SUBJECTIVE CRITERIA OF SELF-ACTIVITY CONTROL OF THE RUSSIAN AND SLOVENIAN MANAGERS: COMPARATIVE ANALYSIS OF PROFESSIONAL COMPETENCE by E. Boštjančič, F. S. Ismagilova, G. S. Miroljubova, N. Jansha

“…The research confirmed and expanded theoretical theses on national cultural differences in managerial processes of work evaluation efficiency.Practical significance. The proposed diagnostic model which has confirmed its practical consistency, and the questionnaire developed on its basis can be considered as working tools for monitoring of the content of activity and measurement of indicators of its control among managers of various organizations. …”
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A New Perspective on Gas Chromatography-Mass Spectrometry Urinary Metabolomic Analysis and Efficient Risk Assessment of Urolithiasis: Morning Urine Organic Acid Profiles by Jiangtao Yang, Dongfang Zhang, Yan Lu, Haixing Mai, Song Wu, Qin Yang, Hanxiong Zheng, Ruqin Yu, Hongmin Luo, Panpan Jiang, Liping Wu, Caili Zhong, Chenqing Zheng, Yanling Yang, Jiaxiang Cui, Qifang Lei, Zhaohui He

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Metering Automation System 3.0 Base Version Based on Machine Learning by Sheng Li, Leping Zhang, Hang Dai, Lukun Zeng, Yuan Ai, Shuang Qi, Yuanzhai Cui

“…The accurate identification of equipment base versions in Metering Automation System 3.0 (MAS 3.0) is critical for ensuring interoperability and maintenance efficiency in modern smart grids. …”
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COMBINED METHOD OF RANKING OPTIONS IN PROJECT DECISION SUPPORT SYSTEMS by Vladimir Beskorovainyi

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A novel hybrid fuzzy logic and federated learning framework for enhancing cybersecurity and fraud detection in IoT-enabled metaverse transactions by Amjad Rehman, Kamran Ahmad Awan, Amal Al-Rasheed, Anees Ara, Fahad F. Alruwaili, Shaha Al-Otaibi, Tanzila Saba

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Methodology of Screening New Antibiotics: Present Status and Prospects by A. S. Trenin

“…The increase of the screening efficiency can be achieved by more rapid chemical identification of antibiotics and design of new screening models based on the biological activity detection.…”
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An improved EAE-DETR model for defect detection of server motherboard by Jian Chi, Mingke Zhang, Puhon Zhang, Guowang Niu, Zhihao Zheng

“…Initially, we developed the CSP-EfficientVIM-CGLU module to enhance feature extraction capabilities while simultaneously reducing the model’s parameter count through the implementation of dynamic gated convolution and global context modeling. …”
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Malicious Traffic Detection on Tofino Using Graph Attention Model by Xichang Gao, Lizhuang Tan, Shengpeng Chen, Peiying Zhang, Jian Wang

“…This paper presents Maltof, a malicious traffic detection method based on P4 programmable switches, aimed at enhancing the accuracy and efficiency of real-time detection. First, Maltof leverages the P4 programming language to embed a rule-based random forest model into the Tofino data plane of the switch, enabling quick feature matching to efficiently filter out potential malicious traffic. …”
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ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER by Оlena Akhiiezer, Olha Dunaievska, Anton Rohovyi, Halyna Holotaistrova, Yurii Reshetniak, Serhii Mekhovych

“…The complex interaction of economic and political factors leads to a synergistic effect and allows modeling cluster formation with the identification of the composition of participants and the level of interaction between them. …”
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TBESO-BP: an improved regression model for predicting subclinical mastitis by Kexin Han, Yongqiang Dai, Huan Liu, Junjie Hu, Leilei Liu, Zhihui Wang, Liping Wei

“…In comparison to six alternative models, the TBESO-BP model demonstrates superior accuracy and lower error values.DiscussionThe TBESO-BP model emerges as a precise tool for predicting subclinical mastitis in dairy cows. …”
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Virtual factory model development for AI-driven optimization in manufacturing by Tõnis Raamets, Kristo Karjust, Aigar Hermaste, Karolin Kelpman

“…Using digital simulations based on a wood manufacturing setup, AI-driven models can be applied to analyze specific OEE metrics, allowing for targeted identification of production bottlenecks and efficiency improvements. …”
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MODELING OF BUSINESS PROCESSES FOR MANAGING INTEGRATIVE DIGITAL DEVELOPMENT OF ENTERPRISES by Оlena V. Vynogradova, Svitlana V. Lehominova, Aliona Yu. Goloborodko, Tetiana I. Nosova

“…The fundamental methods for modeling business process flows using mathematical and analytical tools, specifically a system of differential equations with defined initial conditions, have been substantiated, enabling the integral assessment of enterprise business process modeling. …”
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Predictive models of sarcopenia based on inflammation and pyroptosis-related genes by Xiaoqing Li, Cheng Wu, Xiang Lu, Li Wang

“…Subsequently, LASSO analysis was conducted on inflammation and pyroptosis-related genes (IPRGs), resulting in the identification of six hub IPRGs. A novel skeletal muscle aging model was developed and validated using an independent dataset. …”
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A model for identifying project sprint tasks based on their description by Marina Grinchenko, Mykyta Rohovyi

“…The article solves the following tasks: analyzing research on the classification and visualization of project tasks, developing an algorithm that can automatically classify text descriptions of sprint tasks, collecting and preparing a training sample of text descriptions of sprint tasks for training and testing the classification model, applying natural language processing methods to improve classification and ensure the accuracy of the results, validating the model on real data to assess the efficiency and accuracy of classification, and analyzing the results. …”
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A Survey of Large Language Model for Drug Research and Development by Huijie Guo, Xudong Xing, Yongjie Zhou, Wenjiao Jiang, Xiaoyi Chen, Ting Wang, Zixuan Jiang, Yibing Wang, Junyan Hou, Yukun Jiang, Jianzhen Xu

“…These models have facilitated a deeper understanding of intricate disease mechanisms and the identification of novel therapeutic strategies, ushering in a new era in drug development and clinical applications. …”
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A model for identifying project sprint tasks based on their description by Марина Гринченко, Микита Роговий

“…The article solves the following tasks: analyzing research on the classification and visualization of project tasks, developing an algorithm that can automatically classify text descriptions of sprint tasks, collecting and preparing a training sample of text descriptions of sprint tasks for training and testing the classification model, applying natural language processing methods to improve classification and ensure the accuracy of the results, validating the model on real data to assess the efficiency and accuracy of classification, and analyzing the results. …”
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Identification of strengths and weaknesses of the healthcare system for persons living with rare diseases in Catalonia (Spain), and recommendations to improve its comprehensive att... by José Hernández-Rodríguez, Fernando Martínez-Valle, Xènia Acebes, Carmen Alerany, Jordi Antón, Gonzalo Calvo, Marian Corral, Jordi Cruz, M. Antònia Mangues-Bafalluy, José Mateo, Josefa Rivera, Albert Salazar, Roser Francisco, Cristina Mallol, Rita Reig-Viader, Ariadna Tigri-Santiña, Assumpta Ricart, Francesc Palau

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Coffee-Leaf Diseases and Pests Detection Based on YOLO Models by Jonatan Fragoso, Clécio Silva, Thuanne Paixão, Ana Beatriz Alvarez, Olacir Castro Júnior, Ruben Florez, Facundo Palomino-Quispe, Lucas Graciolli Savian, Paulo André Trazzi

“…In this scenario, deep learning techniques have shown promise for the early identification of these diseases, enabling more efficient monitoring. …”
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A Non-invasive Load Recognition Approach Incorporating SENet Attention Mechanism and GA-CNN by Xin SHEN, Gang WANG, Yitao ZHAO, Zhao LUO, Zhao LI, Xiaohua YANG

“…The experimental results show that the proposed method can reduce the computational overhead of non-intrusive load identification, accurately identify the residential load categories, and significantly improve the efficiency of non-intrusive load identification.…”
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Investigating Cohesive Devices in The Lucy Poems Using the Hallidayan Model by Ahmad Kasser Mleiki

“… Using the Hallidayan model, this research investigates the usage of cohesive devices in Wordsworth’s The Lucy Poems, analyzing how these linguistic aspects contribute to the overall coherence and meaning of the text. …”
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