Sustainable foam stabilization using red mud-derived nanoparticles for enhanced oil recovery and CO2 sequestration by Khaled Al-Azani, Mohamed Abdrabou Hussein, Ahmed Farid Ibrahim

“…Abstract Foam has been widely used for enhanced oil recovery (EOR) and CO2 sequestration due to its ability to improve sweep efficiency and control gas mobility. …”
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QFCOI-Enhancing Objective Quality Assessment for Compressed Omnidirectional Images With Fusion of Measures by Marek Simka, Ladislav Polak, Adam Zizien, Karel Fliegel

“…The feature metrics selection was based on statistical performance and ability to capture key aspects of image quality, including structural preservation, visual information fidelity, and artifact sensitivity. …”
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A Novel Adaptive Independent Component Analysis Method for Multi-Channel Optically Pumped Magnetometers’ Magnetocardiography Signals by Shuang Liang, Jiahe Qi, Junhuai He, Yikang Jia, Aimin Wang, Ting Zhao, Chaoliang Wei, Hongchen Jiao, Lishuang Feng, Heping Cheng

“…The proposed method outperformed traditional techniques in terms of its ability to identify artifacts and efficiency in this regard, providing strong support for the broader clinical application of OPM-MCG.…”
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A question-answering framework for geospatial data retrieval enhanced by a knowledge graph and large language models by Hao Li, Peng Yue, Haoru Wu, Baoxin Teng, Yongkun Zhao, Changfeng Liu

“…The rapid advancement of Earth observation technologies has resulted in an explosive growth of geoscientific data. Efficient retrieval of such data is essential but often challenging, especially for non-experts, due to decentralized data sources and limited semantic support in existing portals. …”
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Synchronization Optimization Model Based on Enhanced Connectivity of New Energy Vehicle Supply Chain Network by Haiwei Gao, Xiaomin Zhu, Binghui Guo, Yifan Cao, Haotian Wang, Xiaohan Yu, Xiaobo Yang

“…Through network topology analysis and parameter optimization, we demonstrate significant improvements in supply chain efficiency and resilience. The practical application of this research lies in its ability to provide actionable insights for supply chain management. …”
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Diagnosis of unilateral vocal fold paralysis using auto-diagnostic deep learning model by Kyoung Ok Yang, So Young Kim, Chang Won Kang, Jeong Seon Choi, Yong Bae Ji, Kyung Tae, Jun Won Choi, Chang Myeon Song

“…While deep learning (DL) models using static images have been explored for UVFP detection, they often lack the ability to assess vocal fold dynamics. We developed an auto-diagnostic DL system for UVFP using both image-based and video-based models. …”
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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

“…In image classification, selecting the appropriate hyperparameters can substantially boost the model’s ability to learn intricate patterns and features from complex image data. …”
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Achievement motivation and attitude of medical laboratory assistants to continuing education by K. S. Kichukova, T. G. Taneva

“…The emphasis of the present study is on the ability to update achievement motivation of laboratory assistants through new opportunities and forms of continuing professional education. …”
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Research on the Method of Air Traffic Control Instruction Keyword Extraction Based on the Roberta-Attention-BiLSTM-CRF Model by Sheng Chen, Weijun Pan, Yidi Wang, Shenhao Chen, Xuan Wang

“…In recent years, with the increasing complexity of air traffic management and the rapid development of automation technology, efficiently and accurately extracting key information from large volumes of air traffic control (ATC) instructions has become essential for ensuring flight safety and improving the efficiency of air traffic control. …”
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Digital health in humanitarian crises: A case study of Gaza and the West Bank by Shayan Ali, Bilal Irfan, Wesam Abdeljaber, Elias Nasser, Muaaz Wajahath, Mosab Nasser, Khaled J Saleh

“…Digital health technology (DHT) has become an important aspect of healthcare systems due to its ability to improve patient outcomes and access to patient data, thereby increasing provider efficiency. …”
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WARFARIN AND ITS IMPORTANCE IN THE ERA OF NEW ORAL ANTICOAGULANTS. ISSUES OF MONITORING THE EFFECTIVENESS AND SAFETY OF TREATMENT by S. Yu. Martsevich, Y. V. Lukina

“…Obviously, the optimal solution to this problem is the possibility of self-testing of this indicator by the patient himself and,  probably, the ability to adjust the dosage of warfarin independently, to achieve the necessary values of INR (self-management) or titrate the dose with the help of a medical consultation by phone (self-monitoring). …”
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The effect of dietary transition on infant microbiota composition and metabolic activity captured with the simulator of the human intestinal microbial ecosystem (SHIME) by Shadi Pakroo, Samira Soltani, Armin Tarrah, Gisèle LaPointe

“…A reduction in butyrate concentration following the transition to adult feed may reflect a temporary shift in microbial metabolic activity rather than a long-term impact on energy extraction efficiency in vivo.…”
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OGAIS: OpenGL-Driven GPU Acceleration Methodology for 3D Hyperspectral Image Simulation by Xiangyu Li, Wenjuan Zhang, Bowen Wang, Huaili Qiu, Mengnan Jin, Peng Qi

“…Furthermore, we analyzed the balance between calculation efficiency and accuracy, and carried out a correlation analysis between ray count and accuracy. …”
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An AI-Based Horticultural Plant Fruit Visual Detection Algorithm for Apple Fruits by Bin Yan, Xiameng Li, Rongshan Yan

“…The Depthwise Separable Convolution (DWConv) module has many advantages: (1) It has high computational efficiency, reducing the number of parameters and calculations in the model; (2) It makes the model lightweight and easy to deploy in hardware; (3) DWConv can be combined with other modules to enhance the multi-scale feature extraction capability of the detection network and improve the ability to capture multi-scale information; (4) It balances the detection accuracy and speed of the model; (5) DWConv can flexibly adapt to different network structures. …”
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Detection of Abnormal Symptoms Using Acoustic-Spectrogram-Based Deep Learning by Seong-Yoon Kim, Hyun-Min Lee, Chae-Young Lim, Hyun-Woo Kim

“…The superior performance of the Mel-spectrogram model is attributed to its ability to emphasize critical acoustic features through Mel-filter banks, which enhances learning performance. …”
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Eco-friendly corrosion inhibitor chitosan methionine for carbon steel in 1 M hydrochloric acid solution: experimental and theoretical approach by S. F. Hamza, Seham Shahen, Amal M. Abdel‑karim, Ahmed A. El-Rashedy, Amira M. Hyba

“…Consequently, many researchers are focused on developing efficient, cost-effective materials to protect metals. …”
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Energy Optimal Trajectory Planning for the Morphing Solar-Powered Unmanned Aerial Vehicle Based on Hierarchical Reinforcement Learning by Tichao Xu, Wenyue Meng, Jian Zhang

“…In addition, the strong adaptability of the hierarchical policy to different quarterly dates was demonstrated through generalization ability testing.…”
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Highly tough, crack‐resistant and self‐healable piezo‐ionic skin enabled by dynamic hard domains with mechanosensitive ionic channel by XueBin Wang, Tong Liu, FuYao Sun, Jingyi Zhang, BoWen Yao, JianHua Xu, JiaJun Fu

“…As such, we successfully demonstrated the enormous potential ability of this skin‐like piezo‐ionic sensor for biomedical monitoring and robotic item identification, which indicates promising future uses in flexible electronics and human–machine interactions.…”
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Overexpression of HmWOX8 promotes callus proliferation and shoot regeneration by regulating hormone signaling and shoot development-related genes by Xueying Zhao, Along Chen, Zhicong Gao, Fazhan Hou, Yajun Chen, Yingzhu Liu

“…Overexpression of HmWOX8 improved callus proliferation and shoot regeneration ability of Arabidopsis and rice, whereas silencing HmWOX8 in H. middendorffii resulted in the inverse correlation. …”
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Detection Algorithm for Air Duct Clamp on Trains Based on RSA-YOLOv10n by WANG Dairong, ZHAO Yuhong, QU Xiaozhang, LIU Yi

“…To address challenges in the detection of air duct clamps due to factors such as dim environments and small objects in train detection, such as insufficient detection accuracy and low detection efficiency, this paper proposes a RSA-YOLOv10n-based detection algorithm, developed utilizing a dataset of air duct clamps collected from trains. …”
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