Influence of the Drilling Parameters in the Single-Lip Deep-Hole Drilling Process on the Surface Integrity of Nickel-Based Alloy by Tao Wu, Fangchao Zhang, Haoguang Zhou, Dong Zhang

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Assessing the Oxidative Degradation of N-Methylpyrrolidone (NMP) in Microelectronic Fabrication Processes by Using a Multiplatform Analytical Approach by Gavin Lennon, Shannon Willox, Ragini Ramdas, Scott J. Funston, Matthew Klun, Robert Pieh, Stewart Fairlie, Sara Dobbin, Diego F. Cobice

“…This novel study has provided key data that may have a significant impact on current and future fabrication process design, optimization, and control. Results here suggest the inclusion of pH as a key process input variable (KPIV) during the design of new photoresist removal processes.…”
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Innovative aspects of enhancement of management processes in the higher educational institution on the basis of application of modern information and communication technologies by I. E. Zhukovskya

“…This purpose has determined statement and the solution of the following tasks: to research theoretical essence and concept of corporate management of higher education institution; to determine the directions and forms of corporate management in higher education institution; to reveal feature of corporate management processes in higher education institutions; to determine the factors constraining implementation of the corporate principles of management of higher education institution; to develop technology of use of corporate mail of higher education institution on the basis of application of the program MS Outlook complex and a security system of Kerio Control. …”
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Single nucleus RNA-seq reveals the process from onset to chronic kidney disease in IgA nephropathy by Jun-Peng You, Gen-Yang Cheng, Xiao-Xue Zhang, Zheng Wang, Chen Liu, Wei Ning, Ya-Ru Liu, Hui-Miao Hu, Ya-Ling Zhai, Yuan-Yuan Qi, Zhan-Zheng Zhao

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Constraining the timing and processes of pediment formation and dissection: implications for long-term evolution in the Western Cape, South Africa by J. C. Richardson, V. Vanacker, D. M. Hodgson, M. Christl, A. Lang

“…The geomorphic processes controlling the formation and evolution of the pediments varied over time, with pediments formed by hillslope diffusive processes as shown by the lack of fluvial indicators in the colluvial deposits and later development by fluvial processes with small tributaries dissecting the pediments. …”
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Design, Construction, and Evaluation of an Automatic Feeder Control System for Sugarcane Billet Planters by B. Abbasian, M. E. Khorasani Ferdavani, H. Zaki Dizaji

“…A microcontroller served as the central processing unit, receiving sensor data and generating control signals to regulate the feeder mechanism. …”
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Comparison of Different Controller Architectures for Autonomous Driving and Recommendations for Robust and Safe Implementations by M. A. Shadab Siddiqui, M. S. Rabbi, Md Jobayer Islam, Radif Uddin Ahmed

“…This comprehensive review examines various controller architectures for autonomous driving systems, from rule-based approaches to advanced deep learning methods. …”
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Overview on the subsurface structure-tectonic controls in the northwest Bahariya, Western Desert, Egypt by Ahmad A. Azab, Mohamed H. Saad, Marwa Z. Elsawy

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Blue Laser Optical NOMA Communication Applied on Control Drone-to-Underwater Vehicle by Sameer Sami Hassan Al-Obaidi

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Enhancing smart city sustainability with explainable federated learning for vehicular energy control by Khalid Ishaq Abdullah Almaazmi, Saif Jasim Almheiri, Muhammad Adnan Khan, Asghar Ali Shah, Sagheer Abbas, Munir Ahmad

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Joint beam hopping and coverage control optimization algorithm for multibeam satellite system by Guoliang XU, Feng TAN, Yongyi RAN, Feng CHEN

“…To improve the performance of multibeam satellite (MBS) systems, a deep reinforcement learning-based algorithm to jointly optimize the beam hopping and coverage control (BHCC) algorithm for MBS was proposed.Firstly, the resource allocation problem in MBS was transformed to a multi-objective optimization problem with the objective maximizing the system throughput and minimizing the packet loss rate of the MBS.Secondly, the MBS environment was characterized as a multi-dimensional matrix, and the objective problem was modelled as a Markov decision process considering stochastic communication requirements.Finally, the objective problem was solved by combining the powerful feature extraction and learning capabilities of deep reinforcement learning.In addition, a single-intelligence polling multiplexing mechanism was proposed to reduce the search space and convergence difficulty and accelerate the training of BHCC.Compared with the genetic algorithm, the simulation results show that BHCC improves the throughput of MBS and reduces the packet loss rate of the system, greedy algorithm, and random algorithm.Besides, BHCC performs better in different communication scenarios compared with a deep reinforcement learning algorithm, which do not consider the adaptive beam coverage.…”
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Electric Drive Discrete Control System with Automatic Switching-On Reserve for Autonomous Settlement by Tsytovich L.I., Brylina O.G., Nesterov A.S., Tyugaev A.V, Loginova N.A, Lopukhova E.A.

“…This result to an increase in the structural redundancy of the system, increase its cost and increase the requirements for the staff qualification. A specific feature of the system is its ability to self-diagnosis of catastrophic malfunctions of scheme’s components and an automatic switching-on the reserve control channels, without applying any test signals to the whole complex of electrical equipment. …”
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Dynamically Controllable Two-Dimensional Microvehicle by Coordinated Optical Pulling-Lateral Force by Yuzhi Shi, Hong Luo, Sha Xiong, Tao He, Tongtong Zhu, Qinghua Song, Lei-Ming Zhou, Pin Chieh Wu, Zhanshan Wang, Cheng-Wei Qiu, Xinbin Cheng

“…Here, we report a coordinated scheme to harness these two forces together and present a dynamically controlled two-dimensional (2D) microvehicle. The strategy is to leverage unexplored helicity-dependent features of both forces, while the particle size and incident angle of light can also reverse optical forces. …”
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Legal status of public control entities over the activities of the National Police in Ukraine by V. A. Doroshenko

“…Control over the activities of the National Police in Ukraine allows to regulate the relationship between the government and the community, which is an integral feature of all democratic states. …”
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Full-process aerosol jet printing modelling: achieving high-fidelity simulation via coupling jetting and deposition by Yufeng Jin, Hao Yi, Huajun Cao, Xianshan Dong

“…Various factors – including printing parameters and ink properties – affect the printing features. Controlling the deposition morphology is critical, as it directly influences the reproducibility, stability, and quality of printed structures. …”
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Fault Detection and Identification for Nonlinear Process Based on Inertia-Based KEPCA and a New Combined Monitoring Index by Loubna El Fattahi, El Hassan Sbai

“…The retained PCs express the maximum inertia entropy of data in the feature space. Then, we use the Parzen window estimator to compute the upper control limit (UCL) for inertia-based KEPCA instead of the Gaussian assumption. …”
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WCS-YOLOv8s: an improved YOLOv8s model for target identification and localization throughout the strawberry growth process by Sheng Gao, Sheng Gao, Gongpei Cui, Qiaohua Wang

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Tailoring Wettability Control of Superhydrophobic Metallic Surface via Sustainable Fabrication Approach by Jayanth Ivvala

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Global-local duality of energetic control cost in multipartite quantum correlated systems by Rui Guan, Junjie Liu, Jian-Hua Jiang

“…Here, we uncover universal thermodynamic relations for arbitrary MQCSs weakly coupled to a thermal bath, establishing an intrinsic global-local duality of control costs. Using these relations, we elucidate the exact role of multipartite correlation—a defining quantum feature of MQCSs—in shaping control costs at finite times. …”
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Comprehensive framework for thyroid disorder diagnosis: Integrating advanced feature selection, genetic algorithms, and machine learning for enhanced accuracy and other performance... by Ankur Kumar, Sanjay Dhanka, Abhinav Sharma, Anchal Sharma, Surita Maini, Mochammad Fahlevi, Fazla Rabby, Mohammed Aljuaid, Rohit Bansal

“…Five ML algorithms-LR, RF, SVM, AB, and DT- were tested using two paradigms: (1) default classifiers and (2) hybrid GA-ML models- GA-RF, GA-LR, GA-SVM, GA-DT, and GA-AB. The data pre-processed included handling missing values, feature scaling, and correlation analysis. …”
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