MODEL FOR FORMING AN INFORMATION SYSTEM OF PROJECT TEAMS IN A SECURITY-ORIENTED SYSTEM by Oleh Zachko, Dmytro Kobylkin, Oleh Kovalchuk, Viacheslav Markov

“…Infrastructure design processes of the framework model of complex socio-technical systems for project management and human resource management programs, formation of a database of members of project BOS teams and their evaluation using the index method to optimize the selection of project team members in a security-oriented system were studied. …”
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A comparative framework to develop transferable species distribution models for animal telemetry data by Joshua A. Cullen, Camila Domit, Margaret M. Lamont, Christopher D. Marshall, Armando J. B. Santos, Christopher R. Sasso, Mehsin Al Ansi, Kristen M. Hart, Mariana M. P. B. Fuentes

“…SDMs were fitted as resource selection functions and trained on data from the Gulf of Mexico with bathymetric depth, net primary productivity, and sea surface temperature as covariates. …”
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Turning Waste into Treasure: Functionalized Biomass‐Derived Carbon Dots for Superselective Visualization and Eradication of Gram‐Positive Bacteria by Ke‐Fei Xu, Zihao Wang, Macheng Cui, Yuhan Jiang, Chengcheng Li, Zi‐Xi Wang, Ling‐Yi Li, Chenyang Jia, Lijie Zhang, Fu‐Gen Wu

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Characterization of carotenoid profiles and presence of functional markers in sub-tropical maize (Zea mays L.) inbred lines by Peter Amoah, Victor O. Adetimirin, Bismark Anokye, Oluyinka J. llesanmi, Nnanna Unachukwu, Elisabeth Ivania Aporva

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Are we ready? Emergency unit capacity at selected district level hospitals in Lusaka Province, Zambia: Barriers and facilitators for improving trauma care: a mixed methods approach... by Penelope Kantu Machona, Joseph Mumba Zulu, Mpundu Makasa, Eivind Meland, Thomas Mildestvedt

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Isolation and screening of IAA-producing bacteria from glutinous sorghum leaves and its plant growth-promoting function by WANG Xinye, ZHANG Min, TIAN Xiaolong, YUAN Ping, LI Hongxia, LUO Zhenbiao, YUE Qianqian, ZHAO Liang*

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Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

“…Furthermore, the proposed SWO-SRNN was trained using the selected features to predict the ground temperature and Coefficient of Performance (COP), which enables to make appropriate actions to optimize the functioning of GSHP. …”
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Cyclostationary Near-field Acoustic Holography for Gearboxes by Zhu Song, Zhang Erliang, Gao Xiaoyu

“…Firstly, the set of cyclic frequencies was estimated from the noise signal; secondly, the cyclic frequency of interest was selected, and the corresponding cyclic spectral density function was calculated; thirdly, the equivalent source NAH method was developed to reconstruct the potential sound source of the gearbox. …”
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Optimal Planning of Wind-Based DG: A Two-Stage Approach Linking Penetration Factor, Turbine Type Selection, Capacity, and Power Factors to Minimize Line Losses by Sina Saboktakin, Tarek Medalel Masaud, Ehab F. El-Saadany

“…By aligning turbine type selection with the available wind resources at the site, the model maximizes energy production and operational efficiency. …”
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Cvill6 and Cvill7: Potent and Selective Peptide Blockers of Kv1.2 Ion Channel Isolated from Mexican Scorpion <i>Centruroides villegasi</i> by Kashmala Shakeel, Muhammad Umair Naseem, Timoteo Olamendi-Portugal, Fernando Z. Zamudio, Lourival Domingos Possani, Gyorgy Panyi

“…Scorpion venoms are a rich source of peptides that modulate the activity of ion channels and can serve as a new drug for channelopathies. …”
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An efficient method for identifying surface damage in hydraulic concrete buildings by Libo Yang, Dawei Zhu, Xuemei Liu

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A deep learning based intrusion detection system for CAN vehicle based on combination of triple attention mechanism and GGO algorithm by Hongwei Yang, Mehdi Effatparvar

“…The current work utilizes a novel Greylag Goose Optimization algorithm for optimal selection of the network hyperparameters. For checking the effectiveness of the suggested method, an open-source dataset was applied, which recorded the traffic of CAN using a real vehicle throughout injection attacks of message. …”
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Three-Dimensional Real-Scene-Enhanced GNSS/Intelligent Vision Surface Deformation Monitoring System by Yuanrong He, Weijie Yang, Qun Su, Qiuhua He, Hongxin Li, Shuhang Lin, Shaochang Zhu

“…The system integrates GNSS monitoring terminals and multi-source meteorological sensors to accurately capture minute displacements at monitoring points and multi-source Internet of Things (IoT) data, which are then automatically stored in MySQL databases. …”
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Educational Technologies in Modern Higher Education Institutions (Analysis of Russian and Foreign Research and Practice) by N. V. Bordovskaia, E. A. Koshkina, N. A. Bochkina

“…Statistically significant differences were identified for all considered functional characteristics of educational technology in Russian and foreign publications, with the exception of “Student Attitude to Educational Technology”. …”
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The abundance and sett ecological characteristics of the Asian badger (Meles leucurus) in the Northeast Tiger and Leopard National Park (NE China) by Jiawei Li, Dongrui Li, Yanwen Fu, Yiwen Ma, Jianping Ge, Limin Feng

“…The sett is a crucial resource for badgers, serving various functions and significantly influencing their spatial ecology. …”
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ATClean: A Novel Method for Detecting Low-luminosity Transients and Application to Pre-explosion Counterparts from SN 2023ixf by S. Rest, A. Rest, C. D. Kilpatrick, J. E. Jencson, S. von Coelln, L. Strolger, S. Smartt, J. P. Anderson, A. Clocchiatti, D. A. Coulter, L. Denneau, S. Gomez, A. Heinze, R. Ridden-Harper, K. W. Smith, B. Stalder, J. L. Tonry, Q. Wang, Y. Zenati

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A diagnosis method based on graph neural networks embedded with multirelationships of intrinsic mode functions for multiple mechanical faults by Bin Wang, Manyi Wang, Yadong Xu, Liangkuan Wang, Shiyu Chen, Xuanshi Chen

“…Additionally, a graph-level based fault diagnosis network model is designed to enhance feature learning capabilities for graph samples and enable flexible application across diverse signal sources and devices. Experimental validation with datasets including independent vibration signals for gear fault detection, mixed vibration signals for concurrent gear and bearing faults, and pressure signals for hydraulic cylinder leakage characterization demonstrates the model's adaptability and superior diagnostic accuracy across various types of signals and mechanical systems.…”
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Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems by Huthaifa I. Ashqar, Taqwa I. Alhadidi, Mohammed Elhenawy, Nour O. Khanfar

“…Two primary research questions are addressed: the capacity of these models to detect and enumerate objects within thermal images, and to determine whether pairs of image sources represent the same scene. …”
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Enhanced YOLOv7-Tiny for Small-Scale Fire Detection via Multi-Scale Channel Spatial Attention and Dynamic Upsampling by Shihao Wu, Yi Xia

“…Furthermore, the Focaler-IoU loss function is employed to focus the model on hard samples, enhancing the accuracy of small fire detection. …”
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INDICATORS AND CRITERIA FOR ASSESSMENT OF MULTIFUNCTIONAL DEVELOPMENT OF RURAL TERRITORIES by O. V. Kosenchuk, A. V. Zinich

“…The authors identify five basic functions of rural areas, developed and presented by the author’s methodology for monitoring the dynamic and including thirty-one indicators, which allow to assess the changes in rural area over the years.Discussion. …”
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