THE EFFICIENCY IMPROVING OF PILOTS AND CADETS TRAINING TO SAFETY CONTROL USING THE MODIFICATIONS OF CLASSICAL METHOD OF "ROY" (PSO) by V. V. Yurasov, L. A. Yurasova

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Supervision and Control as Special Forms of Protecting Labor Rights of Employees who Work for Employers Being Individuals by I. V. Vasylko

“…It has been argued that the implementation of control and supervisory activities in the studied area relies on various public authorities, where their main functions should include the detection of violations of labor rights of employees by employers, development of propositions to prevent violations of labor laws, monitoring the compliance with regulations issued in regard to employer in the result of inspections by the competent authorities, development and approval of the annual plan for scheduled inspections; drawing up minutes on administrative offenses against employers who have violated labor legislation; organization and monitoring of the compliance with labor legislation, including the collection, processing and analysis of information, operation of an automated information system for control and supervision.…”
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One’s Interoception Affects the Representation of Seeing Others’ Pain: A Randomized Controlled qEEG Study by Michela Balconi, Laura Angioletti

“…The sample was divided into experimental (EXP) and control (CTR) groups, and the EXP group was explicitly required to direct the attention on its interoceptive correlates while observing the stimuli. …”
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Biometric and IoT Integration for Secure and Remote Door Access Control Using Fingerprint Recognition and GSM Technology by S Kanagamalliga, S Rajalingam, A Kannan, M Karthikeyan

“…Fingerprints are captured and verified using a fingerprint sensor, ensuring precise and personalized access control. The Arduino board acts as the main controller, processing fingerprint data and enabling communication with the GSM module for remote operation. …”
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Developmental maturation of dynamic causal control signals in higher-order cognition: a neurocognitive network model. by Kaustubh Supekar, Vinod Menon

“…Overall, our study demonstrates how a unified neurocognitive network model when combined with multimodal imaging enhances our ability to generalize beyond individual task-activated foci and provides a common framework for elucidating key features of brain and cognitive development. The quantitative approach developed is likely to be useful in investigating neurodevelopmental disorders, in which control processes are impaired, such as autism and ADHD.…”
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Measurement challenge: protocol for international case–control comparison of mammographic measures that predict breast cancer risk by Jennifer Stone, John Shepherd, Giske Ursin, John L Hopper, Chao Wang, Evenda Dench, Daniela Bond-Smith, Ellie Darcey, Grant Lee, Ye K Aung, Ariane Chan, Jack Cuzick, Ze Y Ding, Chris F Evans, Jennifer Harvey, Ralph Highnam, Meng-Kang Hsieh, Despina Kontos, Shuai Li, Shivaani Mariapun, Carolyn Nickson, Tuong L Nguyen, Said Pertuz, Pietro Procopio, Nadia Rajaram, Kathy Repich, Maxine Tan, Soo-Hwang Teo, Nhut Ho Trinh, Isabel dos-Santos-Silva, Valerie McCormack, Mads Nielsen

“…The measurement challenge resource provides a standardised dataset of mammographic images and core data that enables investigators to directly compare methods of measuring mammographic density or other mammographic features in case/control sets of both raw and processed images, for the purposes of the comparing their predictions of breast cancer risk.Ethics and dissemination Challengers and contributors are required to enter a Research Collaboration Agreement with the University of Melbourne prior to participation in the measurement challenge. …”
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Research on the role of multi-sensor system information fusion in improving hardware control accuracy of intelligent system by Li Xin, Li Yuesong

“…Multi-sensor management and control technology generally constructs a reasonable objective function to solve the optimal control command set to control a limited number of sensors to obtain higher quality measurement information, thus obtaining better target tracking performance. …”
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Designing flash flood control measures for urban areas using the Monte Carlo water flow simulation by Ondrej Tokarčík, Jaroslav Hofierka

“…Time series of high-resolution water depth rasters elucidate the dynamics of the phenomena and efficiency of the flood control measures. The proposed approach has the advantage of providing high spatial resolution coupled with the flexibility of GIS to evaluate various scenarios and flash flood control measures thus improving the urban planning process.…”
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Control model of community elderly recreational exercise assistive robot based on improved dense trajectory algorithm by Ruisheng Jiao, Haibin Wang, Juan Luo

“…Specifically, the study deeply refined the control process of a health and exercise assisted robot, and combined action capture to construct a health and exercise assisted robot model. …”
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Strengthening of Inertial Dust Removal in Impingement Flow Dust Removal Array by HE Ge, HU Xianfeng, LIU Zekun, CHEN Kehong, WEI Wenyun, YU Hui

“…At present, in the actual process of industrial dust removal, not only the removal rate and energy consumption of the gas path are considered, but also the space occupied by the equipment is a critical factor. …”
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A Systematic Mapping Study on Automatic Control Systems of Multi-Port dc/dc Power Converters by Diego Vargas, Leonardo Ortega, Julio C. Caiza, Danny S. Guamán

“…Many configurations for multi-port dc/dc power converters have been proposed, featuring diverse combinations of controllers, modulation techniques, and topologies tailored to specific applications. …”
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Three-dimensional fracture migration evolution law of overburden rock in steeply dipping working face by Panshi XIE, Baofa HUANG, Yongping WU, Shenghu LUO, Mingjian ZHU, Leilei YI, Hui XU, Jianjie CHEN

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Evaluation of Image Segmentation Methods for In Situ Quality Assessment in Additive Manufacturing by Tushar Saini, Panos S. Shiakolas, Christopher McMurrough

“…The experimental set-up is based on an open-frame fused filament fabrication printer augmented with a vision system. The control system software for printing and imaging (acquisition and processing) was custom developed in Python running on a Raspberry Pi. …”
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“Image-Spectral” fusion monitoring of peanut leaf spot disease level based on deep learning by Yongda Lin, Jiangtao Tan, Hong Li, Xi Li, Jianguo Wang, Tingting Chen, Lei Zhang

“…To address these limitations, this study proposes a robust multi-source feature fusion model for peanut leaf spot detection, integrating ResNet101 for RGB image feature extraction and an improved 1D-CNN for hyperspectral feature extraction. …”
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Coordinated System Intelligent Optimization for an Ultra-Supercritical Power Unit Based on Improved Simplex Method and Condensate Throttling by Liangyu MA, Qianqian LI, Fan LI

“…Simulation results indicate that the proposed scheme can effectively improve the coordinated control quality with faster load response, less main steam pressure fluctuation during dynamic load-changing process.…”
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Geogrid-type geotextile made from Typha domingensis fibers with high tensile strength for erosion control by Luiz Diego Vidal Santos, Francisco Sandro Rodrigues Holanda, Alceu Pedrotti, Janisson Bispo Lino, Cátia dos Santos Fontes, Jeangela Carla Rodrigues de Melo, Regina Helena Marino, Gizelio Menzes Boge

“…This geotextile is developed to mitigate erosive processes and is produced from natural fibers arranged in a mat configuration. …”
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Coal gangue image recognition model based on improved U−Net and top coal caving control by Yong YUAN, Zhenghan QIN, Yongqi XIA, Rang WU, Libao LI, Yong LI

“…An advanced U−Net−based coal gangue segmentation model has been developed, incorporating Feature Pyramid Networks (FPN) and Atrous Spatial Pyramid Pooling (ASPP). …”
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Loop-mediated isothermal amplification (LAMP) method for fast detection of Campylobacter spp in meat food products and environmental objects of a processing plant’s by Yu. K. Yushina, E. V. Zajko, M. A. Grudistova, M. D. Reshchikov, N. A. Nasyrov, D. V. Nikitchenko

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Multi-task deep learning for simultaneous prediction of steel purity and carbon capture rate using membrane separation technology in integrated steelmaking processes by Somboon Sukpancharoen, Pakon Sakdee, Natacha Phetyim, Rinlada Sirisangsawang, Chayut Sungsook

“…STL achieved 97.62% accuracy with perfect recall for iron purity classification, while MTL demonstrated superior carbon capture prediction (R2 = 0.9948 vs 0.9902), representing 30% improvement through shared process learning. Feature importance analysis revealed air flow rate as the dominant factor for iron purity, while membrane feed pressure controlled carbon capture performance. …”
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Electrical impedance spectroscopy for non-destructive meat freshness assessment by Shiqian Wang, Ziye Zhang, Xinyao Zhao, Xinqing Xiao

“…The paper encapsulates the commonly employed methods for the selection and processing of electrical impedance sensor data, including preprocessing, feature selection, calibration, and validation. …”
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