Across-Beam Signal Integration Approach with Ubiquitous Digital Array Radar for High-Speed Target Detection by Le Wang, Haihong Tao, Aodi Yang, Fusen Yang, Xiaoyu Xu, Huihui Ma, Jia Su

“…By exchanging time for energy, it effectively improves the detection ability for weak targets. Nevertheless, target motion introduces severe across-range unit (ARU), across-Doppler unit (ADU), and across-beam unit (ABU) effects, dispersing target energy across the range–Doppler-beam space. …”
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Li-Ion Battery Active–Passive Hybrid Equalization Topology for Low-Earth Orbit Power Systems by Lin Zhu, Zihua Liu, Yong Lin, Zhe Li, Jian Qin, Xiaoguang Jin, Shujie Yan

“…In contrast, active equalization technology offers higher efficiency, faster equalization speeds, and the ability to utilize digital control methods, making it the mainstream direction for the development of lithium-ion battery equalization technology. …”
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Explainable, Flexible, Frequency Response Function-Based Parametric Surrogate for Guided Wave-Based Evaluation in Multiple Defect Scenarios by Paul Sieber, Rohan Soman, Wieslaw Ostachowicz, Eleni Chatzi, Konstantinos Agathos

“…Lamb waves offer a series of desirable features for Structural Health Monitoring (SHM) applications, such as the ability to detect small defects, allowing to detect damage at early stages of its evolution. …”
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Multimodal Deep Learning in Early Autism Detection—Recent Advances and Challenges by Sheril Sophia Dcouto, Jawahar Pradeepkandhasamy

“…Deep learning models, with their ability to analyze complex patterns and extract meaningful features from large datasets, offer great promise in addressing the challenge of early ASD detection. …”
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Implementation of serial peripheral interface slave device based on uncommitted logic arrays by Sinyukin Alexander, Denisenko Mark, Isaeva Alina, Kots Ivan, Kovalev Andrey

“…Tests of speed performance, interference resistance, and ability to operate at different voltage levels were carried out. …”
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The function and significance of SELENBP1 downregulation in human bronchial epithelial carcinogenic process. by Gu-Qing Zeng, Hong Yi, Peng-Fei Zhang, Xin-Hui Li, Rong Hu, Mao-Yu Li, Cui Li, Jia-Quan Qu, Xingming Deng, Zhi-Qiang Xiao

“…Both Western blotting and immunohistochemistry were performed to detect SELENBP1 expression in independent sets of tissues of bronchial epithelial carcinogenesis, and ability of SELENBP1 for discriminating NBE (normal bronchial epithelium) from preneoplastic lesions from invasive LSCC was evaluated. …”
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A PSO weighted ensemble framework with SMOTE balancing for student dropout prediction in smart education systems by Achin Jain, Arun Kumar Dubey, Shakir Khan, Arvind Panwar, Mohammad Alkhatib, Abdulaziz M Alshahrani

“…Furthermore, PSO offers computational efficiency advantages over Firefly and Ant Colony Optimization, reducing hyperparameter tuning time while improving ensemble performance. …”
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Preparation and Characterization of Small-Size and Strong Antioxidant Nanocarriers to Enhance the Stability and Bioactivity of Curcumin by Shanshan Tie, Yujin Yang, Jiawei Ding, Yanyan Li, Mengmeng Xue, Jianrui Sun, Fang Li, Qiuxia Fan, Ying Wu, Shaobin Gu

“…Here, procyanidins, vanillin, and amino acids were used to successfully prepare nanocarriers of a controllable size in the range of 328~953 nm and to endow antioxidant ability based on a one-step self-assembly method. …”
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Enhancing Dongba Pictograph Recognition Using Convolutional Neural Networks and Data Augmentation Techniques by Shihui Li, Lan Thi Nguyen, Wirapong Chansanam, Natthakan Iam-On, Tossapon Boongoen

“…The recognition of Dongba pictographs presents significant challenges due to the pitfalls in traditional feature extraction methods, classification algorithms’ high complexity, and generalization ability. This study proposes a convolutional neural network (CNN)-based image classification method to enhance the accuracy and efficiency of Dongba pictograph recognition. …”
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Encapsulation of Aqueous Extract of <i>Hancornia speciosa</i>  by Lorrane Soares dos Santos, Jéssica Silva Medeiros, Antonio Matias Navarrete de Toledo, Letícia Fleury Viana, Maria Inês Rodrigues Machado, Adriana Rodrigues Machado

“…Liposomes are increasingly favored for encapsulation due to their biocompatibility and versatility, making them valuable in drug delivery, cosmetics, and food science. Their ability to encapsulate both hydrophobic and hydrophilic compounds has driven this growing interest. …”
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Operation standardization evaluation method based on improved YOLOv8n for ship equipment disassembly and assembly by Zhendong ZHANG, Cong GUAN, Zehui ZHANG, Chao WU, Xuewen DING

“…MethodsFirst, the backbone network of the ship equipment detection model is constructed using YOLOv8n, and the shuffle-attention (SA) mechanism is introduced to improve the model's feature extraction capability and training efficiency. Subsequently, a reparameterized generalized feature pyramid network (GFPN) fusion structure is incorporated into the neck network to enhance the model's ability to fuse multi-scale features. …”
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A new model for the diagnostic assessment services trajectory for neurodevelopmental conditions by Claudine Jacques, Mélina Rivard, Catherine Mello, Nadia Abouzeid, Élodie Hérault, Geneviève Saulnier

“…PurposeThe Canadian province of Québec faces several issues regarding the accessibility and quality of diagnostic assessment and the efficiency and continuity of evaluation, support, and intervention services for children with neurodevelopmental conditions (NDCs). …”
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Semi-Analytical Solutions for Time-Fractional Fisher Equations via New Iterative Method by Shivaji Ashok Tarate Tarate, A. P. Bhadane, S.B. Gaikwad, K.A. Kshirsagar

“…The ability to solve time-fractional Fisher equations efficiently and reliably using the NSTIM approach has significant implications for various fields such as population dynamics, mathematical biology, and epidemiology. …”
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Development of R8 modified epirubicin–dihydroartemisinin liposomes for treatment of non-small-cell lung cancer by Jing-Jing Liu, Wei Tang, Min Fu, Xiao-Qing Gong, Liang Kong, Xue-Min Yao, Ming Jing, Fu-Yi Cai, Xue-Tao Li, Rui-Jun Ju

“…Presently, there are no few anticancer drugs that have been used clinically due to their poor targeting ability, short half-life period, non-selective distributions, generation of vasculogenic mimicry (VM) channels, high metastasis, and high recurrence rate. …”
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Improved YOLOv10n model for enhanced cotton recognition in complex environments by Yutao Gong, Wenwen Ding, Nenghui Huang, Tao Li, Juntao Zhou

“…Accurate and efficient identification of cotton boll states is crucial for mechanical and intelligent cotton harvesting. …”
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Effectiveness of aquatic plants in reducing water nitrates by Thair Aljawahiry, Ahmed Hasoon, Ahmed Falah Imran, Aliaa Kareem Abdulla, Mahmood Al-Mualm, Saba Naseer Abbas

“…At the end of the 12th period, M. spicatum and L. gibba had contaminant removal efficiency of 83.31% and 86.27%, respectively. L. gibba ability to utilize nitrate as a nutrient was demonstrated by its significantly increased dry weight at the end of the experiment (P < 0.05). …”
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Human–AI Co-Drawing: Studying Creative Efficacy and Eye Tracking in Observation and Cooperation by Yuying Pei, Linlin Wang, Chengqi Xue

“…The analysis of the creative efficiency scale data reveals significant differences in designers’ ability to supplement and improve AI ideas across different modes. …”
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TIMA-Net: A Lightweight Remote Sensing Image Change Detection Network Based on Temporal Interaction Enhancement and Multi-Scale Aggregation by Zhijun Zhou, Xuejie Zhang, Xiaoliang Luo, Lvchun Wang, Wei Yu, Shufang Xu, Longbao Wang

“…Specifically, TIMA-Net designs a temporal interaction enhancement module based on dual-branch and coordinate attention and combines channel segmentation and multi-scale features to enhance the representation ability of the changed region. The comparative experimental results show that TIMA-Net outperforms several state-of-the-art methods on multiple remote sensing datasets, especially in terms of accuracy and computational efficiency. …”
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Smart Electric Vehicle Charging Management Using Reinforcement Learning on FPGA Platforms by Udhaya Mugil Damodarin, Gian Carlo Cardarilli, Luca Di Nunzio, Marco Re, Sergio Spanò

“…Key findings highlight the system’s ability to maintain stable operation under varying demand conditions, improving power efficiency, safety, and service reliability. …”
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Methodological Study on Determination of Recombinant Adeno-Associated Virus Particle Titer Through Size Exclusion Chromatography with Multiangle Light Scattering and Collaborative... by Dening Pei, Xiang Li, Hua Bi, Wenhong Fan, Heng Wang, Manli Cui, Xi Qin, Chenggang Liang

“…Adeno-associated virus (AAV) is a promising gene therapy vector due to its high transduction efficiency, low pathogenicity, low immunogenicity, and the ability to mediate the long-term stable expression of exogenous genes. …”
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