Numerical Study of Air Cushion Effect in Notched Disk Water Entry Process Using Structured Arbitrary Lagrangian–Eulerian Method by Zhe Zhang, Nana Yang, Jinlong Ju, Xingzhi Bai, Houcun Zhou, Wenhua Wu

“…Notably, increasing the notch diameter significantly enhances the formation and stability of the air cushion, leading to a considerable reduction in peak impact loads—a phenomenon not previously quantified. …”
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QoE-Energy Consumption Optimization for End-User Devices in Adaptive Bitrate Video Streaming Using the Lagrange Multiplier Method by Tien Vu Huu, Thao Nguyen Thi Huong

“…The reduction of greenhouse gas emissions in the Internet and ICT sectors has become a critical challenge. …”
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Clinical and Epidemiological Characteristics of Infections Associated with Surgery and Treatment of Oncological Diseases by G. G. Badamshina, V. B. Ziatdinov, L. M. Fatkhutdinova, G. M. Тrukhina, B. A. Bakirov, A. V. Tutelian, G. Sh. Isaeva

“…Microbiological monitoring of emerging HAIs is an efficient tool for managerial decision making and the development of an algorithm for anti-epidemic measures in the departments and the hospital as a whole for the reduction of risk of infection.…”
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Teleoperation system for multiple robots with intuitive hand recognition interface by Lucas Alexandre Zick, Dieisson Martinelli, André Schneider de Oliveira, Vivian Cremer Kalempa

“…These results demonstrate the effectiveness and practicality of the robotic control algorithm, showcasing its promise in managing teleoperations across multi-robots. …”
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Cotton Fiber Micronaire and Relations to Fiber HVI and AFIS Qualities Between Deltapine^® and PhytoGen Upland Varieties by Yongliang Liu, Doug J. Hinchliffe

“…Further, MIC values were not related with lint turnout, but they were positively and greatly correlated with algorithmic <i>M</i>_IR values of the attenuated total reflection in Fourier transform infrared (ATR FT-IR) spectra. …”
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Characteristics Analysis of Joint Acoustic Echo and Noise Suppression in Periodic Drillstring Waveguide by Li Cheng, Chang Jinfeng, Liu Zhao, Fan Shangchun, Ding Tianhuai

“…The results reveal that the proposed scheme can achieve a much lower error bit ratio over a specified acoustic isolation frequency range with a 30–40 dB reduction in the average noise level compared to traditional single-receiver scheme.…”
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UNCERTAINTY OF THE RESULTS OF THE RADON CONTROL IN HOUSINGS. PART 1. THE PROBLEM OF ASSESSMENT OF THE RADON CONCENTRATION AND MODERN CONTROL PRINCIPLES by A. A. Tsapalov, S. M. Kiselev, A. M. Marennyy, K L. Kovler, S. I. Kuvshinnikov

“…It is obvious that the uncertainty of the control increases with the reduction of the duration of the measurements. The lack of data on confidence interval for the average annual radon concentration in housings does not allow correct and precise comparison with the regulatory level, both for the commissioned and operated buildings. …”
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Designing an Urban Air Mobility Corridor Network: A Multi-Objective Optimization Approach Using U-NSGA-III by Zhiyuan Zhang, Yuan Zheng, Chenglong Li, Bo Jiang, Yichao Li

“…The case study conducted in Chengdu illustrates that the corridor network obtained by our method not only achieves a 37.8% reduction in ground risk and a 69.9% decrease in implementation costs, but also saves a comparable 4.7% in time relative to traditional methods.…”
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Optimizing Techno-Economic Framework of REGs in Capacitive Supported Optimal Distribution Network by G. Srinivasan, Kumar Reddy Cheepati, B. Srikanth Goud, Mohammed Alqarni, Basem Alamri, Ch. Rami Reddy

“…Besides, the Levy Flight Mechanism (LFM) integrated Seagull Optimization Algorithm (SOA) has been applied to solve the Economic Based Objective Function. …”
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Anti-Freezing and Operation Optimization Design of Air-Conditioning Systems for Industrial Plants in Severely Cold Regions by Baogang Zhang, Weitao Wang, Ming Liu, Mingxuan Liu

“…Multi-objective optimization through the NSGA-II algorithm was performed on parameters including the set temperature, water flow rate, and fresh air volume, achieving coordinated optimization of energy consumption (11.4% reduction compared to pre-optimization) and thermal comfort. …”
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ADULT-ONSET STILL’S DISEASE: ASPECTS OF THE HEMATOLOGY CLINIC by M. M. Agakishiev, I. I. Mulina, A. M. Popova, I. N. Nechunaeva, L. M. Maslova, I. B. Kovynev, T. I. Pospelova

“…The article outlines the differential diagnosis algorithm, presents the criteria for diagnosis and approaches to therapy. …”
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Controlled Synthesis of TiB2-TiC Composite: Substantiation of the Homogenizing Joule Thermostatting Efficiency and Improvement of SHS-Compaction Technology in a Vacuum by Gigo Jandieri, David Sakhvadze

“…Such consolidation leads to a significant increase in the quality of structural packaging and a reduction in the number and volume of micropores, as a result of which the performance properties of the composite improve on average by 10–15 %.…”
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On the propeller wake evolution using large eddy simulations and physics-informed space-time decomposition by Zhan Zhang, Peng Sun, Long Pan, Teng Zhao

“…The findings indicate that the pi-SPDMD model enhances the efficiency of the sparse-promoting algorithm, producing modes that gravitate towards stability, and the resulting decomposition maintains commendable physical fidelity. …”
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Bearing Fault Diagnosis Based on Spatial Features of 2.5 Dimensional Sound Field by Junjian Hou, Jun Ma, Zhanpeng Fang, Wuyi Ming, Wenbin He

“…Different from the 2D technique with only one source image, the 2.5D acoustic field model consists of source image, holographic sound image, and the differences between them, and its effective feature model is constructed by Gabor wavelet feature extraction and random forest feature reduction algorithm. The diagnostic effect of the 2.5D technique compared with the 2D technique increases more than 11% in the bearing diagnostic test. …”
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Research on computer multi feature fusion SVM model based on remote sensing image recognition and low energy system by Yangming Wu, Hao Wu, Xin Tang, Jianwei Lv, Rufei Zhang

“…Aiming at the limitations of the traditional SVM model in processing high-dimensional data, an optimization algorithm is designed to reduce the computational complexity and improve the recognition accuracy of the model through dimensionality reduction and feature selection. …”
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Enhanced machine learning model for classification of the impact of technostress in the COVID and post-COVID era by Gabriel James, Anietie Ekong, Aloysius Akpanobong, Enefiok Etuk, Saviour Inyang, Samuel Oyong, Ifeoma Ohaeri, Chikodili Orazulume, Peace Okafor

“…This study models a system that employs a Random Forest algorithm for prediction and classification, using age, gender, hours spent, and technological experience as parameters to categorize stress into high, moderate, and low levels. …”
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Characterizing Heterogeneity within Head and Neck Lesions Using Cluster Analysis of Multi-Parametric MRI Data. by Marco Borri, Maria A Schmidt, Ceri Powell, Dow-Mu Koh, Angela M Riddell, Mike Partridge, Shreerang A Bhide, Christopher M Nutting, Kevin J Harrington, Katie L Newbold, Martin O Leach

“…<h4>Results</h4>The clustering algorithm was able to separate clusters which significantly reduced in voxel number following induction chemotherapy from clusters with a non-significant reduction. …”
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Nonlinear energy consumption analysis of shallow-buried bias tunnel stability with improvement of failure mode by Wei Luo, Shirui Liu, Zhi Tao, Haifeng Wang, Xun Gan

“…The increase of initial cohesion will lead to the reduction of surrounding rock pressure. The stability of the surrounding rock pressure of shallow buried tunnel decreases with increasing slope top load, buried depth ratio and axial tensile stress. …”
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Machine Learning for Earthquake Emergency Evacuation: Site Selection and Neighborhood Navigation by Amirmasoud Amiran, Behrouz Behnam, Sanaz Seyedin

“…This application is built using OpenStreetMap and the OpenRouteService routing algorithm. With the successful achievement of both goals, the emergency evacuation process in Tehran is now smarter and more comprehensive. …”
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Primitive-Level vs. Implementation-Level DPA Security: a Certified Case Study by Charles Momin, François-Xavier Standaert, Corentin Verhamme

“… Implementation-level countermeasures like masking can be applied to any cryptographic algorithm in order to mitigate Differential Power Analysis (DPA). …”
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