Enhancing the quality of kinesthetic motor imagery for complex motor skills through simulated muscle activation color visualization: Evidence from time-frequency and functional con... by Xiaogang Ma, Bing Shi

“…Conversely, alpha event-related synchronization (ERS) in the parietal and occipital regions, as well as ERS in the frontal, central, and temporal regions, were significantly lower in the experimental group compared to the control group. The source-functional connectivity results revealed that the primary differences between the experimental and control groups were concentrated between the left V1 and right V1, as well as among the posterior parietal cortex (PPC), dorsolateral prefrontal cortex (DLPFC), and primary motor cortex (M1). …”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…The incorporation of the Adown module, GMA attention mechanism, and WIoUv3 loss function effectively reduced the model's parameters and computational complexity, while significantly improving the accuracy and robustness of levee crack detection. …”
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Quasi-synchronous thermocompensation for ISFET-based ionometric devices. Part 2: Implementation by Alexey Pavluchenko, Aleksandr Kukla

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Vibrational Properties of Sundatang Soundboard by Ronald Yusri BATAHONG, Jedol DAYOU, Semyung WANG, Jongsuh LEE

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Toward Compliance and Transparency in Raw Material Sourcing With Blockchain and Edge AI by Abderrahim Khiari, Anas Osman, Massimo Vecchio, Mattia Antonini, Miguel Pincheira

“…This low-power device enables real-time detection of shipment anomalies such as tampering or unauthorized access, even in offline and resource-limited environments. …”
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Cognitive load assessment through EEG: A dataset from arithmetic and Stroop tasksMendeley Data by Ali Nirabi, Faridah Abd Rahman, Mohamed Hadi Habaebi, Khairul Azami Sidek, Siti Yusoff

“…The proposed dataset serves as a valuable resource for advancing research in the realm of brain-computer interfaces and offers insights into identifying EEG patterns associated with stress.The proposed dataset serves as a valuable resource for researchers, offering insights into identifying EEG patterns that correlate with different stress states. …”
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Development of an embedded diagnostic tool for visual misalignment screening by Daniel Soto Rodriguez, Andres Eduardo Rivera Gomez, Ruthber Rodriguez Serrezuela

“…A novel treatment validation mechanism was implemented by analyzing pupil-to-stimulus distance frame-by-frame, confirming reliable eye tracking and the system’s potential for detecting microstrabismus. This open-source, portable prototype is suitable for community health screening and educational use, particularly in low-resource settings.…”
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Forecasting Electricity Production in a Small Hydropower Plant (SHP) Using Artificial Intelligence (AI) by Dawid Maciejewski, Krzysztof Mudryk, Maciej Sporysz

“…This article devises the Artificial Intelligence (AI) methods of designing models of short-term forecasting (in 12 h and 24 h horizons) of electricity production in a selected Small Hydropower Plant (SHP). Renewable Energy Sources (RESs) are difficult to predict due to weather variability. …”
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HGCS-Det: A Deep Learning-Based Solution for Localizing and Recognizing Household Garbage in Complex Scenarios by Houkui Zhou, Chang Chen, Zhongyi Xia, Qifeng Ding, Qinqin Liao, Qun Wang, Huimin Yu, Haoji Hu, Guangqun Zhang, Junguo Hu, Tao He

“…Notably, HGCS-Det maintains a lightweight architecture while enhancing the detection accuracy, enabling real-time performance even in resource-constrained environments. …”
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UniMap: Type‐Level Integration Enhances Biological Preservation and Interpretability in Single‐Cell Annotation by Haitao Hu, Yue Guo, Fujing Ge, Hao Yin, Hao Zhang, Zhesheng Zhou, Fangjie Yan, Qing Ye, Jialu Wu, Ji Cao, Chang‐Yu Hsieh, Bo Yang

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Effect of microstructure on lipolysis behavior of milk fat globules during gastrointestinal digestion by Xinyun Zhou, Ting Guo, Chen Chen, Hadiatullah Hadiatullah, Yunping Yao, Changmo Li, Xingguo Wang

“…Milk fat globules (MFG) are the primary source of energy and functional factor in dairy-based products. …”
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A Census of the Stellar Populations in the Sco-Cen Complex by K. L. Luhman

“…I have used that cleaner sample to characterize the stellar populations in Sco-Cen in terms of their initial mass functions, ages, and space velocities. For instance, all of the populations in Sco-Cen have histograms of spectral types that peak near M4–M5, which indicates that they share similar characteristic masses for their initial mass functions (∼0.15–0.2 M _⊙ ). …”
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Multi-model deep learning approach for the classification of kidney diseases using medical images by Waleed Obaid, Abir Hussain, Tamer Rabie, Dhafar Hamed Abd, Wathiq Mansoor

“…This research paper leveraged a deep learning approach to address the worldwide shortage of urologists by facilitating the detection of kidney diseases. A novel deep learning technique is proposed using Darknet53 for the classification of kidney diseases using a large dataset gathered from five resources. …”
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COMIX: Generalized Conflict Management in O-RAN xApps—Architecture, Workflow, and a Power Control Case by Anastasios E. Giannopoulos, Sotirios T. Spantideas, George Levis, Alexandros S. Kalafatelis, Panagiotis Trakadas

“…While this study considers power control xApps, the COMIX framework is generalizable and can be applied to any xApp conflict scenario involving resource contention or KPI interdependence.…”
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Terrain and individual tree vertical structure-based approach for point clouds co-registration by UAV and Backpack LiDAR by Tingwei Zhang, Xin Shen, Lin Cao

“…Tree-level structural parameters estimation plays a key role in the researches and practice in sustainable forest management, carbon storage estimation, as well as ecological function evaluation. However, single Light Detection and Ranging (LiDAR) platform exhibits limitations when acquiring complete (i.e., including over-story and under-story) point cloud data for forest stands, e.g., UAV LiDAR systems tend to overlook details of the tree trunk or the lower ground, while Backpack LiDAR systems struggle to capture the treetop, etc. …”
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Single Mutation in <i>iolT1</i> in <i>ptsG</i>-Deficient <i>Corynebacterium glutamicum</i> Enables Growth Boost in Xylose-Containing Media by Katharina Hofer, Lynn S. Schwardmann, Jung-Won Youn, Volker F. Wendisch, Ralf Takors

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Integrated Waveform Design of Radar and Communication Based on Chirp-rate Hopping Modulation by G. Q. Zhang, X. Rao, J. L. Fu, W. W. Hu, J. F. Hu

“…The increasing demand for spectrum resources and the need for reducing the burden of modern electronic combat platforms have prompted the development of integrated radar and communication systems. …”
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Deformable Feature Fusion and Accurate Anchors Prediction for Lightweight SAR Ship Detector Based on Dynamic Hierarchical Model Pruning by Yue Guo, Shiqi Chen, Ronghui Zhan, Wei Wang, Jun Zhang

“…Moreover, the large number of parameters in CNNs restricts their deployment on platforms with limited resources. To address these challenges, this article proposes a novel SAR ship detection network called DFES-Net, which incorporates deformable feature fusion and accurate anchor prediction to enhance detection performance. …”
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Scalable Video Processing and Frame Analysis System for Automated Monitoring of Chicken Behavior Based on Artificial Intelligence Technologies by Svitlana Antoshchuk, Oleksii Danchuk, Tetiana Kunup

“…The article highlights the advantages of using automated systems to monitor chicken health under conditions of limited human resources. A software solution has been developed for monitoring chicken health, which enables video uploads from local sources or video services such as YouTube, selection of the communication language, and the LLM model. …”
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Effect of Forest Species Canopy on the Accumulation of Toxic Metals in the Soil Within and Around Macedonia Airport, Northern Greece by Ioannis Mousios, Marianthi Tsakaldimi, Evangelia Gkini, Theocharis Chatzistathis, Petros Ganatsas

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