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  1. 441

    Distributions of Ion Density Irregularities and Their Gradients Inside Low‐Latitude Ionospheric Plasma Bubbles Based on C/NOFS Planar Langmuir Probe Data by Emanoel Costa, Patrick A. Roddy, John O. Ballenthin

    Published 2021-03-01
    “…It will be shown that all the parameters (Equatorial Plasma Bubble sections, solar activity, longitude sector, and altitude range) affect the resulting statistical distributions. Additionally, the probability density functions (pdfs) of ion density gradients for the EPB West Walls, Centers, and East Walls and the South American longitude sector, detected during 2012 and estimated with different resolutions will be compared. …”
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  2. 442

    Developing an early warning land degradation indicator based on geostatistical analysis of Ecosystem Functional Types dynamics by Cristina Domingo-Marimon, Małgorzata Jenerowicz-Sanikowska, Lluís Pesquer, Marek Ruciński, Michał Krupiński, Edyta Woźniak, Anna Foks-Ryznar, Mohammad Abdul Quader

    Published 2024-12-01
    “…However, these maps often emphasize structural rather than functional attributes and, also due to their thematic and temporal resolution, may not detect early degradation signs. …”
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  3. 443

    SFD-YOLO: A novel framework for subsidence funnels detection in China based on large-scale SAR interferograms by Jing Guo, Zhengjia Zhang, Peifeng Ma, Mengmeng Wang, Xuefei Zhang, Dongdong Li, Bing Sui

    Published 2025-06-01
    “…The model incorporates the DWR-C2f module, which enhances multi-scale feature extraction and significantly improves the detection of small-sized subsidence funnels. Additionally, the innovative Inner-WIoU regression loss function improves the localization accuracy of detection boxes while also alleviates the imbalance between hard and easy samples. …”
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  4. 444

    MST-AI: Skin Color Estimation in Skin Cancer Datasets by Vahid Khalkhali, Hayan Lee, Joseph Nguyen, Sergio Zamora-Erazo, Camille Ragin, Abhishek Aphale, Alfonso Bellacosa, Ellis P. Monk, Saroj K. Biswas

    Published 2025-07-01
    “…The approach includes automatic frame, lesion removal, and lesion segmentation using convolutional neural networks, and modeling normal skin tones with a Variational Bayesian Gaussian Mixture Model (VB-GMM). The distribution of skin color predictions was compared with MST scale probability distribution functions (PDFs) using the Kullback-Leibler Divergence (KLD) metric. …”
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  5. 445

    New groups of highly divergent proteins in families as old as cellular life with important biological functions in the ocean by Duncan Sussfeld, Romain Lannes, Eduardo Corel, Guillaume Bernard, Pierre Martin, Eric Bapteste, Eric Pelletier, Philippe Lopez

    Published 2025-06-01
    “…We assessed the environmental diversity of 53 core gene families broadly distributed across the Tree of Life, with essential functions including translational, replication and trafficking processes. …”
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  6. 446
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  8. 448

    Sustainable microgreen production through automated cultivation systems: nutritional and functional profiling via multivariate analysis by Figen Taşcı Durgut, Funda Eryılmaz Açıkgöz, Fatma Funda Özdüven, Seydi Yıkmış

    Published 2025-08-01
    “…This study aimed to evaluate the performance of a fully automated microsprout production cabinet system developed with a sustainable food processing perspective and to compare the nutritional and functional properties of microsprouts produced in different growing environments. …”
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  9. 449

    HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things by Abdelwahed Berguiga, Ahlem Harchay, Ayman Massaoudi

    Published 2025-01-01
    “…However, increased interconnectivity of medical equipment has rendered IoMT networks susceptible to several cyberattacks, particularly the Distributed Denial of Service (DDoS) attacks. Current intrusion detection systems (IDS) are insufficiently focused to address and counteract these advanced threats. …”
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  10. 450

    APPLICATION OF THE SPECTROMETRIC METHOD FOR CALCULATING THE DOSE RATE FOR CREATING CALIBRATION HIGHLY SENSITIVE INSTRUMENTS BASED ON SCINTILLATION DETECTION UNITS by R. V. Lukashevich, G. A. Fokov

    Published 2017-09-01
    “…Applying the function G(E) to the energy distribution of the fluence of photon radiation in the environment, the total dose rate can be determined without information on the distribution of radioisotopes in the environment.To determine G(E) by Monte-Carlo method instrumental response function of the scintillator detector to monoenergetic photon radiation sources as well as other characteristics are calculated. …”
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  11. 451

    Regional analysis of APOE polymorphism in Alzheimer’s disease in Spain by Ignacio Pardo-Pérez, Leticia Sánchez-Valdeón, Ana García-Gallego, Brisamar Estébanez, Inés Casado-Verdejo, Jesús Antonio Fernández-Fernández, Carlos Méndez-Martínez, Laura Bello-Corral

    Published 2025-04-01
    “…Abstract Alzheimer’s disease (AD) is a progressive neurodegenerative disorder with significant cognitive and functional impacts. Genetic factors, particularly the APOE gene and its allelic variants (ε2, ε3, ε4), play a critical role in AD susceptibility. …”
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  12. 452

    Particle correlated characteristics of coal rock crushed by disc cutters by XU Peng, LIU Chunsheng, CHENG Shuo, DANG Zhenqian

    Published 2025-08-01
    “…The particle size distribution of the crushed coal rock could be described by the Rosin-Rammler distribution function. …”
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  13. 453

    A Real-Time Restraint Method for Range Walk Error in 3-D Imaging Lidar Via Dual Detection by Ling Ye, Guohua Gu, Weiji He, Huidong Dai, Qian Chen

    Published 2018-01-01
    “…Geiger-mode avalanche photodiode (Gm-APD) offers 3D imaging lidar much better capability in terms of detection sensitivity. However, a range walk error (RWE) exists in Gm-APDs which refers to the fluctuation of the measured distance as a function of the intensity of echo pulses. …”
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  14. 454

    RE-YOLO: An apple picking detection algorithm fusing receptive-field attention convolution and efficient multi-scale attention. by Jinxue Sui, Li Liu, Zuoxun Wang, Li Yang

    Published 2025-01-01
    “…The accuracy of current apple picking detection algorithms is still limited when the distribution is dense and occlusion exists, and there is a significant challenge in deploying current high accuracy detection models on edge devices with limited computational resources. …”
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  15. 455

    The FAST Ursa Major Supergroup H i Survey (FUMaS): Catalog and H i Mass Function by Haiyang Yu, Ming Zhu, Chuan-Peng Zhang, Peng Jiang, Jin-Long Xu

    Published 2025-01-01
    “…For these 32 sources, we have searched the DESI Legacy Surveys and found optical counterparts for 25 of them (with optical images, but no redshifts), with the remaining seven sources being pure H i clouds without an optical counterpart. We detected H i distributions in some interacting systems and discussed four small groups in detail. …”
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  16. 456

    Relationship between functional movement screening (FMS) scores and balance and strength performance in young male athletes by Şükran İribalcı, Mert Aydoğmuş, Serkan Revan, Harun Genç

    Published 2024-12-01
    “…Functional movement screening (FMS) is a test developed to evaluate the fundamental movement patterns underlying both sports performance and injury risk. …”
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  17. 457

    A Kind of Dynamic Clustering Algorithm Based on Angle Measurement by HE Yun bin, SUN Nuan, WAN Jing, LI Song

    Published 2019-12-01
    “…In order to explore the influence of the angle between elements on the incremental clustering algorithm, this paper is inspired by angle based outlier detection algorithms. The paper establishes a dynamic incremental clustering algorithm model based on angle measurement, and uses the angle between elements to reasonably distribute the increased data. …”
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  18. 458

    Detection of power theft in sensitive stations based on generalized robust distance metric and multi-classification support vector machine by Wei Zhang, Qiong Cao, Shuai Yang, Hao Guo

    Published 2025-04-01
    “…Through training and optimization, the support vector machine outputs the detection results of electricity stealing behavior according to the decision function, and realizes the accurate detection of electricity stealing behavior. …”
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  19. 459

    Linking oil platforms and natural reefs: insights into mobile epifauna dynamics by Naeem Abdulaziz Aziz, Rodrigo Riera, Mohammed AlDibis, Radhouane Ben-Hamadou, Pedro Range

    Published 2025-08-01
    “…Although no significant horizontal patterns were detected between reef sites, strong ecological connectivity was evident, indicating that the artificial substrates acted as effective "stepping stones" for mobile fauna.DiscussionThe dominant functional groups included surface deposit feeders (sipunculids), carnivorous flatworms, and polychaetes. …”
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  20. 460

    Producing fully-charmed tetraquarks via charm quark fragmentation in colliders by Xiao-Wei Bai, Feng Feng, Chang-Man Gan, Yingsheng Huang, Wen-Long Sang, Hong-Fei Zhang

    Published 2024-09-01
    “…Abstract Within the framework of nonrelativistic QCD (NRQCD), we calculate the fragmentation function for a charm quark into an S-wave fully-charmed tetraquark, denoted as T 4c . …”
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