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  1. 361

    Types of the left ventricle geometry and changes in functional parameters of the heart in patients with atrial fibrillation by V. V. Syvolap, A. O. Bohun

    Published 2023-10-01
    “…The indicators of systolic and diastolic, valvular functions, the distribution of patients according to four classic types of the left ventricular geometry were studied. …”
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  2. 362

    Genome-wide identification of human functional DNA using a neutral indel model. by Gerton Lunter, Chris P Ponting, Jotun Hein

    Published 2006-01-01
    “…Across the genome, many unusually long ungapped regions are detected that are unaccounted for by the neutral model, and which we predict to be highly enriched in functional DNA that has been subject to purifying selection with respect to indels. …”
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  3. 363

    KLRG1 expression induces functional exhaustion of NK cells in colorectal cancer patients by Cairui Xu, Kangli Cao, Along Ma, Meijuan Zheng, Yuanhong Xu, Ling Tang

    Published 2025-05-01
    “…Methods In this study, we collected peripheral blood samples from both CRC patients and age- and sex-matched healthy controls (HCs). The distribution characteristics, phenotypic changes, functional status, apoptosis susceptibility, and proliferative capacity of circulating NK cells were detected and analyzed by flow cytometry. …”
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  4. 364

    The interplay between epidermal barrier distribution, microbiota composition, and immune infiltrate defines and stratifies psoriasis patients and is associated with disease severit... by Elizabeth M. Ortega Rocha, Paul Hernández-Herrera, Sofia V. de los Santos- Carmona, Saraí G De León-Rodríguez, Ángel Juárez-Flores, Vadim Pérez-Koldenkova, Octavio Castro-Escamilla, Samira Muñoz-Cruz, Alicia Lemini-López, Laura C. Bonifaz

    Published 2024-12-01
    “…Our findings emphasize the complex interplay between epidermal barrier distribution, SEB localization, and functional CD4 TCRvβ17 cells in psoriatic skin, highlighting their potential in patient stratification in association with the severity of the disease.…”
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  9. 369

    Securing Microservices-Based IoT Networks: Real-Time Anomaly Detection Using Machine Learning by Maria Katherine Plazas Olaya, Jaime Alberto Vergara Tejada, Jose Edinson Aedo Cobo

    Published 2024-01-01
    “…These risks can result in disruptions to system functioning or data compromise. Proposed strategies to mitigate these risks include developing intrusion detection systems and utilizing machine learning to differentiate between normal and anomalous network traffic, indicating potential attacks. …”
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  10. 370

    Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment by Eunmok Yang, Sooyong Jeong, Changho Seo

    Published 2025-05-01
    “…They are vulnerable to different cyber threats that can compromise the functionality and security of urban systems. Distributed Denial of Service (DDoS) attacks are among IoT networks’ most challenging and destructive cyber threats. …”
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  11. 371

    Switchable and Tunable Terahertz Metamaterial Absorber with Ultra-Broadband and Multi-Band Response for Cancer Detection by Yadgar I. Abdulkarim

    Published 2025-02-01
    “…The proposed metamaterial exhibits dual functionalities depending on the VO<sub>2</sub> phase state. …”
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  12. 372

    Detecting Postural Instability in Parkinson&#x2019;s Disease From IMU-Based Objective Measures by Kendal Smith, Diego Torricelli, Miguel Gonzalez-Sanchez, Javier Ricardo Perez-Sanchez, Elisa Luque-Buzo, Francisco Grandas, Juan Miguel Marin, Jorge Andres Gomez-Garcia

    Published 2025-01-01
    “…Parkinson&#x2019;s Disease (PD) is a progressive neurological disorder that affects both motor and non-motor functions. A critical aspect of PD is postural instability, which is associated with a higher risk of falls and a significant decline in mobility. …”
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  13. 373

    Potential Source Density Function: A New Tool for Identifying Air Pollution Sources by In Sun Kim, Yong Pyo Kim, Daehyun Wee

    Published 2022-01-01
    “…Abstract Potential source density function (PSDF) is developed to identify, that is, locate and quantify, source areas of ambient trace species based on Gaussian process regression (GPR), a machine-learning technique. …”
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  14. 374

    Primary study on the expression pattern and function of zinc metalloproteinase NAS-31 in Haemonchus contortus by HUANG Yan, ZHANG Hui, TONG Danni, ZHOU Jingru, WU Fei, CHEN Xueqiu, YANG Yi, MA Guangxu, DU Aifang

    Published 2021-12-01
    “…In order to study the function of zinc metalloproteinase NAS-31 gene (Hc-nas-31) in the free-living period (especially L3) of this kind of worm, real-time quantitative polymerase chain reaction (qRT-PCR) was conducted to detect the transcription level of the target gene in different developmental stages of H. contortus. …”
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  15. 375

    PdYOLO: A Lightweight Algorithm for Detecting Peach Fruits Against a Peach Tree Background by Jiajun Zhang, Jialin Zhang, Kazuki Kobayashi

    Published 2024-01-01
    “…First, the CIOU regression loss function in YOLOv8s is replaced with the WIoUv2 regression loss function, effectively alleviating the negative impact of uneven distribution of positive and negative samples during model training through a more balanced gradient gain distribution strategy, which significantly improves detection accuracy. …”
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  16. 376

    Human disturbance influences occupancy of red deer in Mongolia by Rhiannon R. Henderson, Brittany A. Mosher, Rebecca Watters, Tumursukh Jal, James D. Murdoch

    Published 2022-10-01
    “…Other landscape variables such as habitat, elevation, and date had no meaningful effect on occupancy. Detection probability was modeled as a function of habitat, showing high foliage areas had a negative effect on detection. …”
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    Bayesian Denoising Algorithm for Low SNR Photon-Counting Lidar Data via Probabilistic Parameter Optimization Based on Signal and Noise Distribution by Qi Liu, Jian Yang, Yue Ma, Wenbo Yu, Qijin Han, Zhibiao Zhou, Song Li

    Published 2025-06-01
    “…First, a simulation framework based on ATL03 data generates point clouds with ground truth labels under varying SNRs, achieving correlation coefficients > 0.9 between simulated and measured distributions. The algorithm then extracts surface profiles via MST and coarse filtering, fits slopes with >0.9 correlation to reference data, and derives the probability distribution function (PDF) of neighborhood photon counts. …”
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  19. 379

    Characterization of the tectonic structures on the Tibetan Plateau using gravity anomaly data and an improved edge detection method by Zhixin Xue, Jian Fang, Dongmei Guo, Panpan Zhang

    Published 2025-07-01
    “…Abstract Edge detection plays an important role in interpreting geophysical potential field data and revealing faults, contacts, and other linear tectonic structures. …”
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