Modeling and Evaluation of Penetration Process Based on 3D Mechanical Simulation by Xiaohan Chen, Huiying Gong, Bin Yang, Zengshuo Wang, Yaowei Liu, Lu Zhou, Xin Zhao, Mingzhu Sun

“…Initially, a finite element model (FEM) is established to simulate the cell penetration process. The effectiveness of the model is then verified through visual detection and comparison of cell deformation with experimental data. …”
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Receiver Processing of the Multibeam Azimuth Scanning CC-OFDM-MIMO Radar by Devy Kuswidiastuti, L. P. Ligthart, Gamantyo Hendrantoro, Titiek Suryani, Prasetiyono Hari Mukti, Yuyu Wahyu

“…The coherence processing for Doppler detection can be done over one period of symbol, and the Doppler resolution can be improved by coherence processing over one frame period consisting of 12 orthogonal symbols. …”
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Improving the Incident Management Process Based on a Use Case Approach by A. A. Mikryukov, A. V. Kuular

“…The purpose of the study is to improve the incident management process. The article considers the process approach to incident management in case of technical failures and its main stages: detection, response, investigation, elimination, resolution. …”
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The sensory-motor auditory visual education (SAVE) program for adults with prior concussions: a prospective case study by Emily D. Drake, Angela S. Seckington, Stephanie G.B. Sullivan, Shannan Behrens

“…Background: The Sensory-Motor Auditory Visual Education (SAVE) Program is an intervention that utilizes an accelerated multisensory integration process to facilitate neuroplasticity. …”
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Wb5, a novel biomarker for monitoring efficacy and success of mass drug administration programs for Wuchereria bancrofti elimination. by Rachel E Pietrow, Catherine Bjerum, Benjamin G Koudou, Taniawati Supali, Philip J Budge, Peter U Fischer, Thomas B Nutman, Sasisekhar Bennuru

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Enhancing Online Security: A Novel Machine Learning Framework for Robust Detection of Known and Unknown Malicious URLs by Shiyun Li, Omar Dib

“…The resulting malicious URL detection system (MUDS) combines supervised machine learning techniques, tree-based algorithms, and advanced data preprocessing, achieving a high detection accuracy of 96.83% for known MURLs. …”
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SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images by K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal

“…To overcome these limitations, this paper proposes a novel network called the Spatial Flow-based Semantic Change Detection Network. This network processes bi-temporal satellite images using a dual-encoder, triple-decoder architecture that progressively refines spatial features at each network stage, improving semantic change detection results. …”
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INVESTIGATION OF THE OPTICAL BONE DENSITY OF THE ALVEOLAR PROCESSES IN THE AREA OF DEFECTS OF DENTITION by S.A. German

“… Special non-invasive methods of investigating the condition of bone tissue have been developed and introduced into clinical practice in recent decades, allowing with high accuracy to detect changes of optical density of bone tissue of the alveolar process of the jaws. …”
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Distribution and processing characteristics of two acylated flavonol glycosides in Camellia sinensis by HUANG Yanmei, ZHOU Feifei, LUO Limin, HUANG Haitao, GE Zhiwei, YANG Jiangfan, TU Youying, WU Yuanyuan

“…The effect of light on the contents of F₁ and F₂, and the dynamic changes in the processing stages of oolong tea were also studied. The results showed that F₁ was mainly distributed in tea leaves and stems, and F₂ was only present in leaves; neither F₁ nor F₂ was detected in the roots. …”
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ADAPTIVE MATHEMATICAL MODEL OF THERMAL PROCESSES IN A COSINE POWER CAPACITOR by D. I. Zalizny, O. G. Shirokov, G. O. Shirokov, A. A. Kapanskiy

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Molecular Investigation of the Impact of Thermal Processing Techniques on Tropomyosin Crustacean Allergens by Elif Tuğçe Aksun Tümerkan

“…This study shows that investigating the allergen coding gene might provide a viable way for detecting food-borne allergens in other thermally processed food items, which are becoming more concerned about food safety.…”
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Assessment of resistance spot welding process quality using modal analysis by Janusz Pikuła, Zygmunt Mikno, Marek Fidali, Szymon Kowieski, Szymon Zymełka

“…This article presents the study results of the possibility of applying modal analysis in the quality examination of welded parts by detecting the missing weld. It was aimed to determine this kind welding process imperfections influence on modal shapes and frequencies by the study of the dynamic properties of welded elements in the frequency domain. …”
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Fermentation process optimization and flavor composition analysis of plum peppermint wine by GUO Ming-yi, DENG Yan, DU Qian-hong, WU Hua-chang

“…<b>Conclusion:</b> The plum peppermint wine produced by the optimization process meets the standard requirements of fruit wine.…”
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Identification of the dynamic model of the gas separation column for improved process control by Andrei V. Ufimtsev

“…The results obtained are of practical importance for engineers and specialists in the field of process control of industrial enterprises, and are also of interest to everyone who works in the field of design of chemical equipment and technological processes.…”
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Research on Optimal Fabrication of High-Quality Ceramic by Process Analysis Technology by Jianhua Cheng, Minhui Tong

“…We developed a composite recognition method combining hybrid sensor recognition and artificial intelligence image recognition techniques and optimized quality monitoring of the ceramic production process. By integrating deep learning models and image preprocessing techniques, appearance defects (such as cracks and color differences) were detected in ceramic products, and key parameters in the sintering process using temperature, pressure, and gas-sensitive sensors were monitored in real-time. …”
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Advances in Cost-Effective Chemosensors for Sustainable Monitoring in Food Safety and Processing by Camelia Albu, Ana Chira, Gabriel-Lucian Radu, Sandra A. V. Eremia

“…The focus is on applications for detecting contaminants, monitoring quality, and ensuring safety in food production and processing. …”
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Quality monitoring of soybean seed tests using Statistical Process Control by Aline S. Alcântara, Jéssica P. do Prado, Rafael de G. Corrêa, Rouverson P. da Silva, Murilo A. Voltarelli, Roberval D. Vieira

“…The experimental design was based on premises of the CEP, using percentage of germination, seed viability, mechanical damage, bed bug, and moisture as indicators of quality. It is possible to detect flaws in the soybean production process through control charts, as well as through germination and tetrazolium tests; results indicated that germination failures are largely caused by mechanical damage and bed bug attacks.…”
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SYNTHESIS OF NEURO-FUZZY NETWORK FOR STABILIZING TEMPERATURE IN PROCESS OF CONTINUOUS STERILIZATION by Elena Valerievna Lubentsova

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Recent progress in hybrid diamond photonics for quantum information processing and sensing by Ryota Katsumi, Kosuke Takada, Fedor Jelezko, Takashi Yatsui

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Energy Efficiency in Measurement and Image Reconstruction Processes in Electrical Impedance Tomography by Barbara Stefaniak, Tomasz Rymarczyk, Dariusz Wójcik, Marta Cholewa-Wiktor, Tomasz Cieplak, Zbigniew Orzeł, Janusz Gudowski, Ewa Golec, Michał Oleszek, Marcin Kowalski

“…Special attention is given to minimizing energy consumption during electromagnetic measurements and data processing, significantly improving the system’s overall performance. …”
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