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  1. 7681
  2. 7682

    Unraveling the role of neuregulin-mediated astrocytes-OPCs axis in the pathogenesis of age-related macular degeneration and Parkinson’s disease by Shuyan Zhang, Cheng Zhang, Yinjian Zhang, Yibin Feng

    Published 2025-03-01
    “…Additionally, this study highlighted an astrocyte–oligodendrocyte precursor cell (OPCs) signaling axis mediated by Neuregulin (NRG), which is hypothesized to influence neuroinflammatory processes characteristic of dry AMD and PD pathogenesis. …”
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    Enhancing understanding of population genetics through automated modeling and simulation by Elena V. Komarova

    Published 2025-03-01
    “…Through iterative design and testing with undergraduate students between 2015-2023, we demonstrate that automated modeling significantly enhances students' conceptual understanding by visualizing abstract genetic-evolutionary processes. Our approach overcomes traditional experimental limitations of mass sampling and replication while making complex population-level phenomena accessible to students. …”
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  7. 7687

    Dataset for training neural networks in concrete crack detection: laboratory-classified beam and column imagesRepositorio Institucional – Universidad de Lima by Alexandre Almeida Del Savio, Ana Luna Torres, Daniel Cárdenas-Salas, Mónica Vergara Olivera, Gianella Urday Ibarra

    Published 2025-08-01
    “…The construction industry is increasingly incorporating artificial intelligence into processes for the efficiency and accuracy of structural analysis and monitoring. …”
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  8. 7688

    Resource‐explicit interactions in spatial population models by Samuel E. Champer, Bryan Chae, Benjamin C. Haller, Jackson Champer, Philipp W. Messer

    Published 2024-12-01
    “…Abstract Continuous‐space population models can yield significantly different results from their panmictic counterparts when assessing evolutionary, ecological or population genetic processes. However, the computational burden of spatial models is typically much greater than that of panmictic models due to the overhead of determining which individuals interact with one another and how strongly they interact. …”
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    A neuronal least-action principle for real-time learning in cortical circuits by Walter Senn, Dominik Dold, Akos F Kungl, Benjamin Ellenberger, Jakob Jordan, Yoshua Bengio, João Sacramento, Mihai A Petrovici

    Published 2024-12-01
    “…Motivated by its predictive power, we introduce a neuronal least-action principle for cortical processing of sensory streams to produce appropriate behavioral outputs in real time. …”
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  11. 7691

    Automatic Ladle Tracking with Object Detection and OCR in Steel Melting Shops by Kabil Murugan, Mahinas Senthilmurugan, Venbha V. Senthilkumar, Harshita Velusamy, Karthiga Sekar, Vasanthan Buvanesan, Manikandan Venugopal

    Published 2025-06-01
    “…A ladle tracking system in steel production plants is essential for optimizing the ladle transportation between different processing units. The currently used technologies for ladle tracking, including Radio Frequency Identification (RFID) systems, are not effective due to their high maintenance costs and poor performance in harsh conditions, leaving a significant gap in developing an automated ladle tracking system. …”
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  12. 7692
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    On the discontinuous Galerkin solver for simulations of magnetization motion with flow transport by Ellen Cavalcante ALVES, Tomohiro OTANI, Shigeo WADA

    Published 2025-06-01
    “…Flow magnetic resonance imaging (MRI) is a technique that allows the measurement of internal flow velocity fields with little interference, but its clinical application is still limited. Through computer simulations of the flow MRI based on the magnetization motion with flow transport, the MRI imaging artifacts can be analyzed, and post-processing techniques can be improved. …”
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    Real-Time Object Detection and Distance Measurement Enhanced with Semantic 3D Depth Sensing Using Camera–LiDAR Fusion by Ahmet Serhat Yildiz, Hongying Meng, Mohammad Rafiq Swash

    Published 2025-05-01
    “…Overall, segmentation mask methods are preferred for applications where accuracy is critical, despite their slower processing speed, while bounding box methods are suitable for real-time applications requiring faster depth extraction. …”
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  18. 7698

    Multi‐Target Drug Design in Alzheimer's Disease Treatment: Emerging Technologies, Advantages, Challenges, and Limitations by Md Saad Hossain, Md Hamed Hussain

    Published 2025-08-01
    “…It is characterized by multiple pathological processes, including amyloid‐beta accumulation, neurofibrillary tangles, and neuroinflammation. …”
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  19. 7699

    An Assessment of Measuring Local Levels of Homelessness Through Proxy Social Media Signals by Yoshi Bird, Sarah Grobe, Michael Arnold, Sean Rogers, Mikaela Fudolig, Julia Zimmerman, Christopher Danforth, Peter Sheridan Dodds

    Published 2025-01-01
    “…Recent studies suggest social media activity can function as a proxy for measures of state-level public health, detectable through straightforward applications of natural language processing. We present the results of our efforts to apply this approach to estimate homelessness at the state level throughout the US during the period 2010-2019 and 2022 using a dataset of roughly 1 million geotagged tweets containing the substring “homeless.” …”
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    Development of a Modular Adjustable Wearable Haptic Device for XR Applications by Ali Najm, Domna Banakou, Despina Michael-Grigoriou

    Published 2024-10-01
    “…Dual ESP32-S3 microcontrollers and a custom-designed system ensure robust processing and low-latency performance, crucial for real-time applications. …”
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