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  1. 1441
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    Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

    Published 2024-04-01
    “…Multimodal neural network systems for analyzing heterogeneous dermatological data, using the proposed optimization algorithms, can be applied as a tool for auxiliary medical diagnostics, which will reduce the consumption of financial and labor resources involved in the medical industry, as well as increase the chance of early detection of pigmentary oncopathologies.…”
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    Bioactives and Other Nutritional Components in the Jaggery Production Process by Nisha Pujari, Nirali Dedhia, Sanjay Mahajani, Narendra Shah, Amit Arora

    Published 2024-02-01
    “…Jaggery, a non-centrifugal sugar (NCS), is a naturally produced sweetener and a good source of minerals, essential vitamins and bioactives. …”
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  6. 1446

    Solar background radiation temperature calibration of a pure rotational Raman lidar by V. Jayaweera, R. J. Sica, G. Martucci, A. Haefele, A. Haefele

    Published 2025-03-01
    “…These measurements enable climatology studies and trend analyses to be performed. To detect long-term trends it is critical that the calibration of the system and the monitoring of its associated uncertainties are as reliable and continuous as possible. …”
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    Viewing Global Changes in the Heliosheath with IMAP’s Energetic Neutral Atom Imagers by E. J. Zirnstein, J. Heerikhuisen, D. J. McComas, J. Bower, G. Clark, M. A. Dayeh, H. O. Funsten, M. Gkioulidou, D. G. Mitchell, D. B. Reisenfeld, N. A. Schwadron

    Published 2025-01-01
    “…We aim to answer the following: (i) What are the time delays as a function of energy and direction; (ii) at what energies can we observe changes the soonest; and (iii) what might the ENA source distributions affecting the time delays look like? …”
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    Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests by Marissa H. Chase, Alexandra Harmon‐Threatt, Samuel F. Stickley, Brian Charles, Jennifer M. Fraterrigo

    Published 2025-04-01
    “…We investigated whether structural metrics derived from light detection and ranging (LiDAR) data could predict bee diversity and abundance, as well as bee functional trait composition within managed and unmanaged forests in the central hardwood region in southern Illinois, United States of America. …”
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  15. 1455

    A mmWave JCAS System for Real-Time High-Data Rate Communication and RADAR Sensing by Markus Petri, Nebojsa Maletic

    Published 2025-01-01
    “…This paper presents a real-time millimeter-wave (mmWave) joint communication and sensing (JCAS) system, supporting bi-directional data communication with up to 5.8 Gbit/s coded data rate as well as mono-static radio detection and ranging (RADAR) with a range resolution of 6.7 cm and up to 2.1 kHz sensing rate. …”
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  16. 1456
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    Fish Diversity Patterns in Rivers Receiving Ecological Water Supplement Driven by Riparian Land Use by LIU Han, LI Lu-dan, GUO Wei-jie, QIAO Qiang-long, GONG Dan-dan, DU Qi, LI Hang, ZHAO Wei-hua

    Published 2025-08-01
    “…Functional dispersion (FDis) and taxonomic diversity (Delta) correlating significantly with all diversity dimensions (r=0.36-0.90; p<0.05) and outperforming species richness in detecting environmental responses. …”
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  18. 1458

    Aeronautical Mutagenesis and Whole-genome Resequencing Reveal the Genetic Basis of Color Change in Naematelia aurantialba by Yukang Zeng, Zhenhui Shen, Yao Cao, Xiangying Luo, Linlei Yang, Rongping Li, Qingqing Lu, Rongchun Li

    Published 2025-07-01
    “…This study was designed to develop novel color-changing germplasm resources and to explore associated functional genes. …”
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  19. 1459

    Service-Chain-Driven Communication and Computing Integration Networking: A Case Study of Levee Piping Hazard Inspection via Remote Sensing by Jing Chen, Lyuzhou Gao, Hongquan Sun, Siquan Yang, Zhonggen Wang, Yuting Wan, Kedi Wang

    Published 2025-07-01
    “…Computing power network (CPN) is designed to utilize multi-dimensional resources to complete computing tasks. However, in practical applications, the CPN architecture has difficulty in coordinating cross-domain heterogeneous resources, making it impossible to achieve the real-time and high scalability requirements of computationally intensive and time-sensitive tasks such as levee piping hazard inspection via remote sensing in emergency scenarios. …”
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  20. 1460

    Application of deep learning for diagnosis of shoulder diseases in older adults: a narrative review by Sung Min Rhee

    Published 2025-01-01
    “…Shoulder diseases pose a significant health challenge for older adults, often causing pain, functional decline, and decreased independence. This narrative review explores how deep learning (DL) can address diagnostic challenges by automating tasks such as image segmentation, disease detection, and motion analysis. …”
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