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  1. 28141

    DeepLabV3+-Based Semantic Annotation Refinement for SLAM in Indoor Environments by Shuangfeng Wei, Hongrui Tang, Changchang Liu, Tong Yang, Xiaohang Zhou, Sisi Zlatanova, Junlin Fan, Liping Tu, Yaqin Mao

    Published 2025-05-01
    “…Furthermore, a novel point cloud processing strategy featuring dynamic radius thresholding is developed to enhance annotation completeness and boundary precision. …”
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  2. 28142

    Enabling Selective and Tunable Weight Updates in All-InGaZnO 3-Transistor 1-Capacitor Synaptic Circuits for On-Chip Training by Minseung Kang, Mingi Kim, Jaehyeon Kang, Jongun Won, Hyeong Jun Seo, Changhoon Joe, Youngchae Roh, Yeaji Park, Sangbum Kim

    Published 2025-01-01
    “…With the proposed selection method and tunable weight updates, 3T1C synaptic circuit is a promising candidate for scalable large-scale deep neural network accelerators based on analog compute-in-memory technology.…”
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  3. 28143

    Replicability of a resting-state functional connectivity study in profound early blindness by Negin Nadvar, Negin Nadvar, Corinna Bauer, Corinna Bauer, Zahide Pamir, Zahide Pamir, Lotfi B. Merabet, Vincent Koppelmans, Vincent Koppelmans, James Weiland, James Weiland, James Weiland

    Published 2025-04-01
    “…Remarkably, the largest rsFC effects appeared to primarily belong to certain connection pairs, irrespective of the pipeline used, likely demonstrating immunity of the larger effects and the true results against suboptimal processing. This may highlight the significance of results verification across different computational streams in pursuit of the true findings.…”
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  4. 28144

    Meteorological drought using the Precipitation Condition Index in dry northeast Mexico during the 2000-2023 period by Víctor H. Domínguez-Meza, Ignacio González Gutiérrez, Wilberth A. Poot-Poot, Xóchitl C. Ramírez Campanur

    Published 2025-06-01
    “…Downloaded IMERG images were projected to WGS 84/ UTM14N, cropped in the shape of Tamaulipas and processed to compute the Precipitation Condition Index (PCI). …”
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  5. 28145

    Recent Trends and Challenges on the Non-Targeted Analysis and Risk Assessment of Migrant Non-Intentionally Added Substances from Plastic Food Contact Materials by Pablo Miralles, Esther Fuentes-Ferragud, Cristina Socas-Hernández, Clara Coscollà

    Published 2025-06-01
    “…However, the field remains constrained by spectral library gaps, limited reference standards, and inconsistent data processing protocols, resulting in heavy reliance on tentative identifications. …”
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  6. 28146

    Multifactorial Analysis of Wood Deterioration in Ancient Egypt: A Case Study of Khufu’s Second Solar Boat by Shimaa Ibrahim, Paola Grenni, Lucia Mancini, Marco Voltolini, Hanan Mohamed Kamal Abdel-Fatah, Ahmed Refaat, Dina M. Atwa

    Published 2025-04-01
    “…These results provide crucial insights into the long-term degradation processes of archaeological wood in arid environments, enhancing our understanding of ancient Egyptian woodworking practices and informing future conservation strategies for similar artifacts.…”
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  7. 28147

    Adjoint‐Based Online Learning of Two‐Layer Quasi‐Geostrophic Baroclinic Turbulence by F. E. Yan, H. Frezat, J. Le Sommer, J. Mak, K. Otness

    Published 2025-07-01
    “…Abstract For reasons of computational constraint, most global ocean circulation models used for Earth System Modeling still rely on parameterizations of sub‐grid processes, and limitations in these parameterizations affect the modeled ocean circulation and impact on predictive skill. …”
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  8. 28148

    Marine Object Detection Using LiDAR on an Unmanned Surface Vehicle by Yvan Eustache, Cedric Seguin, Antoine Pecout, Alexandre Foucher, Johann Laurent, Dominique Heller

    Published 2025-01-01
    “…The PointPillars network, chosen for its efficiency in processing LiDAR data, was trained and evaluated in this maritime context. …”
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  9. 28149

    Greater neural pattern similarity to the native language is associated with better novel word learning by Yuan Feng, Yuan Feng, Yuan Feng, Yuan Feng, Aqian Li, Aqian Li, Aqian Li, Aqian Li, Jing Qu, Jing Qu, Jing Qu, Jing Qu, Huiling Li, Huiling Li, Huiling Li, Huiling Li, Xiaoyu Liu, Xiaoyu Liu, Xiaoyu Liu, Xiaoyu Liu, Jingxian Zhang, Jingxian Zhang, Jingxian Zhang, Jingxian Zhang, Jiayi Yang, Jiayi Yang, Jiayi Yang, Jiayi Yang, Leilei Mei, Leilei Mei, Leilei Mei, Leilei Mei

    Published 2024-12-01
    “…IntroductionPrevious neuroimaging studies on bilingualism revealed that individuals tend to apply their native-language (L1) neural strategies to second language (L2) learning and processing. Nevertheless, it is still unclear how the utilization of the L1 neural strategies affects visual word learning in a new language.MethodsTo address this question, the present study scanned native Chinese speakers while performing implicit reading tasks before 9-day form-meaning learning in Experiment 1 and before 12-day comprehensive word learning in Experiment 2. …”
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  10. 28150

    Calibration and optimization of discrete element method parameter of Pinus koraiensis seeds by Chun Wang, Zhizheng Hu, Xiangyu Liu, Hailin Kui, Yongchao Shao

    Published 2025-12-01
    “…The development of food processing equipment for Pinus koraiensis seeds has been limited by insufficient data on physical and contact properties. …”
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  11. 28151

    Semantic and ontology-based analysis of regulatory documents for construction industry digitalization by Zarina Kabzhan, Alexandr Shakhnovich, Sergey Gorshkov, Yussuf Yemenov, Fedor Gorshkov, Nazym Shogelova

    Published 2025-04-01
    “…Experiments were conducted on a corpus of 14 regulatory documents of the Republic of Kazakhstan (≈242,000 words), demonstrating high computational efficiency (document analysis time <10 s) and acceptable quality metrics (F1-score up to 0.86). …”
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  12. 28152

    YOLOv9: A High-Performance Deep Learning Approach for Asphalt Pavement Distresses Detection in Roadway Images by Fahrizal, Siti Nurjanah, Yoan Purbolingga, Dila Marta Putri, Asde Rahmawati, Bastul Wajhi Akramunnas, Muhidin Arifin

    Published 2025-06-01
    “…It also demonstrated swift image processing at 2.7 ms per image. While the model struggles with accurately identifying longitudinal cracking at higher confidence levels, its effectiveness in visualizing distress detection results on different pavement types is commendable. …”
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  13. 28153

    Sample ascertainment and clinical outcome measures in the Accelerating Medicines Partnership® Schizophrenia Program by Jean Addington, Lu Liu, Amy Braun, Andrea Auther, Monica E. Calkins, Barbara A. Cornblatt, Cheryl M. Corcoran, Paolo Fusar-Poli, Melissa J. Kerr, Catalina V. Mourgues-Codern, Angela R. Nunez, Dominic Oliver, Gregory P. Strauss, Barbara C. Walsh, Luis K. Alameda, Celso Arango, Nicholas J. K. Breitborde, Matthew R. Broome, Kristin S. Cadenhead, Ricardo E. Carrion, Eric Yu Hai Chen, Jimmy Choi, Michael J. Coleman, Philippe Conus, Covadonga M. Diaz-Caneja, Dominic Dwyer, Lauren M. Ellman, Masoomeh Faghankhani, Pablo A. Gaspar, Carla Gerber, Louise Birkedal Glenthøj, Leslie E. Horton, Christy Hui, Grace R. Jacobs, Joseph Kambeitz, Lana Kambeitz-Ilankovic, Matcheri S. Keshavan, Sung-Wan Kim, Nikolaos Koutsouleris, Jun Soo Kwon, Kerstin Langbein, Kathryn E. Lewandowski, Daniel Mamah, Patricia J. Marcy, Daniel H. Mathalon, Vijay A. Mittal, Merete Nordentoft, Godfrey D. Pearlson, Nora Penzel, Jesus Perez, Diana O. Perkins, Albert R. Powers, Jack Rogers, Fred W. Sabb, Jason Schiffman, Jai L. Shah, Steven M. Silverstein, Stefan Smesny, William S. Stone, Andrew Thompson, Judy L. Thompson, Rachel Upthegrove, Swapna Verma, Jijun Wang, Heather M. Wastler, Alana Wickham, Inge Winter-van Rossum, Daniel H. Wolf, Sylvain Bouix, Ofer Pasternak, Rene S. Kahn, Carrie E. Bearden, John M. Kane, Patrick D. McGorry, Kate Buccilli, Barnaby Nelson, Martha E. Shenton, Scott W. Woods, the Accelerating Medicines Partnership® -Schizophrenia, Alison R. Yung

    Published 2025-04-01
    “…In addition to developing the assessment protocol, the goals of this aspect of the AMP SCZ project were: (1) to implement and monitor clinical training, ascertainment of participants, and clinical assessments; (2) to provide expert clinical input to the Psychosis Risk Evaluation, Data Integration and Computational Technologies: Data Processing, Analysis, and Coordination Center (PREDICT-DPACC) for data collection, quality control, and preparation of data for the analysis of the clinical measures; and (3) to provide ongoing support to the collection, analysis, and reporting of clinical data. …”
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  14. 28154

    Soybean–Corn Seedling Crop Row Detection for Agricultural Autonomous Navigation Based on GD-YOLOv10n-Seg by Tao Sun, Feixiang Le, Chen Cai, Yongkui Jin, Xinyu Xue, Longfei Cui

    Published 2025-04-01
    “…The crop row center lines of the segmentation results were fitted by PCA, where the fitting accuracy reached 95.08%, the angle deviation was 1.75°, and the overall processing speed was 61.47 FPS. This study can provide an efficient and reliable solution for agricultural autonomous navigation operations such as weeding and pesticide application under a soybean–corn compound planting mode.…”
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  15. 28155

    Ultrasonic Spray Coating of Carbon Fibers for Composite Cathodes in Structural Batteries by Thomas Burns, Liliana DeLatte, Gabriela Roman-Martinez, Kyra Glassey, Paul Ziehl, Monirosadat Sadati, Ralph E. White, Paul T. Coman

    Published 2025-04-01
    “…Compared to traditional techniques such as electrophoretic deposition, vacuum bag hot plate processing, and dip-coating, ultrasonic spray coating achieved superior coating consistency and reproducibility. …”
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  16. 28156

    Calculation of hydrogen dispersion in cushion gases using machine learning by Ali Akbari, Mehdi Maleki, Yousef Kazemzadeh, Ali Ranjbar

    Published 2025-04-01
    “…Existing experimental and numerical methods for predicting hydrogen dispersion coefficients (KL) are often limited by high costs, lengthy processing times, and insufficient accuracy in dynamic reservoir conditions. …”
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  17. 28157

    Reconstructing Molecular Networks by Causal Diffusion Do‐Calculus Analysis with Deep Learning by Jiachen Wang, Yuelei Zhang, Luonan Chen, Xiaoping Liu

    Published 2024-12-01
    “…Abstract Quantifying molecular regulations between genes/molecules causally from observed data is crucial for elucidating the molecular mechanisms underlying biological processes at the network level. Presently, most methods for inferring gene regulatory and biological networks rely on association studies or observational causal‐analysis approaches. …”
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  18. 28158

    Noninvasive Technique for Evaluation of Cerebral Edema in Patients with Brain Injury by I. G Bobrinskaya, E. F Bilalova, V. V. Moroz, V. N Troyan, O. N Moskovets, Yu. S. Shupenin

    Published 2007-12-01
    “…Objective: to monitor the efficiency of intensive therapy for brain injury, which presents a great difficulty due to the fact that available noninvasive monitoring techniques for intracranial processes are unavailable. The present study was undertaken to substantiate the monitoring of cerebral hydration by a noninvasive bioimpedance technique.Subjects and methods. …”
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  19. 28159

    OpenNavSense platform: A low-cost, open-source inertial navigation system for the evaluation of estimation algorithms by Pablo Raul Yanyachi, Jorch Mendoza-Chok, Brayan Espinoza-Garcia, Juan Carlos Cutipa Luque, Daniel Yanyachi Aco Cardenas

    Published 2025-03-01
    “…The main contribution of this work is the introduction of a FreeRTOS-based platform, which facilitates independent management of computational and processing tasks. The platform incorporates accelerometers, gyroscopes, magnetometers, Global Positioning System (GPS) module, and barometer sensors. …”
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  20. 28160

    Etiologies and Treatment Outcomes of Chronic Cough Diagnosed with a Pathophysiological Diagnostic Procedure: A Single-center Retrospective Observational Cohort Study by Johsuke Hara, Masaki Fujimura, Masahide Yasui, Reiko Takeda, Noriyuki Ohkura, Seiji Yano

    Published 2025-05-01
    “…After identifying the etiologies of CC through an understanding of its pathophysiological processes, we determined the patient’s management outcomes based on the pathophysiological diagnosis. …”
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