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  1. 1541

    Mid-infrared Ensemble Variability of Broad-line and Narrow-line Seyfert 1 Galaxies by Zhipeng Hu, Lisheng Mao

    Published 2025-01-01
    “…The MIR variability of the combined sample is positively correlated with black hole mass and the FWHM of the H β emission line at long rest-frame time lags. (4) The long-term MIR variability of the combined sample may be mainly driven by the Eddington ratio. (5) For BLSy1 galaxies, the MIR variability of radio-detected sources is greater than that of radio-undetected sources, whereas for NLSy1 galaxies, the opposite is true.…”
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    Article
  2. 1542

    Standard: human liver-on-a-chip by Haitao Liu, Xu Zhang, Yaqing Wang, Min Zhang, Peng Wang, Jing Shang, Zhongqiang Li, Likun Gong, Xin Xie, Dongyang Liu, Jingbo Pi, Xinghua Gao, Xianliang Li, Wei Ding, Dianbing Wang, Yun Long, Lan Wang, Song Li, Xingchao Geng, Pingkun Zhou, Wanjin Tang, Xian’en Zhang, Chunying Chen, Shengli Yang, Jianhua Qin

    Published 2025-03-01
    “…However, the lack of standardized definitions, structural designs, cell sources, model constructions, and functional validations has posed challenges to their widespread translational applications. …”
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    Article
  3. 1543

    The role of vitamin K in the pathology of newborns and infants (literature review) by Y.V. Marushko, A.O. Pysariev, T.V. Kurilina, O.A. Bovkun

    Published 2024-10-01
    “…PIVKA II is used as a functional marker for the detection of vitamin K deficiency. …”
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    Article
  4. 1544

    Single-cell transcriptomics of vomeronasal neuroepithelium reveals a differential endoplasmic reticulum environment amongst neuronal subtypes by GVS Devakinandan, Mark Terasaki, Adish Dani

    Published 2024-12-01
    “…The AOS comprising the peripheral sensory vomeronasal organ has evolved elaborate molecular and cellular mechanisms to detect chemo signals. To gain insight into the cell types, developmental gene expression patterns, and functional differences amongst neurons, we performed single-cell transcriptomics of the mouse vomeronasal sensory epithelium. …”
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  5. 1545
  6. 1546

    Differential expression of five genes during sclerotium formation of Rhizoctonia solani by WANG Wei, YANG Hui, WANG Zhengyi, CHEN Weiliang

    Published 2013-01-01
    “…Rhizoctonia solani is an important plant pathogenic fungus with a wide host range and worldwide distribution, and the sclerotia are the main source of infection for the diseases caused by this pathogen. …”
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    Article
  7. 1547
  8. 1548

    Exploring the Possibility of Medical Device Surveillance in Patients on Peritoneal Dialysis Using a Common Data Model by Seon Min Kim, Sooin Choi, You Kyoung Lee, Cheol Wan Lim, Byung Chul Yu, Moo Yong Park, Jin Kuk Kim, Seng Chan You, Seo Jeong Shin, Soo Jeong Choi

    Published 2025-04-01
    “…After implementing amended matching, these data were detected. <i>Conclusions</i>: While some PD-related medical data recorded in EHRs were misrepresented or omitted during the CDM database extraction, transformation, and loading process, the CDM shows potential to serve as a source of real-world data for active surveillance.…”
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    Article
  9. 1549

    Characterization of the diversity, genomic features, host bacteria, and distribution of crAss-like phages in the pig gut microbiome by Yaxiang Wang, Chao Wei, Zhe Chen, Mengqing Zhou, Lusheng Huang, Congying Chen

    Published 2025-04-01
    “…Approximately 64.73% of crAss-like phage genes lacked functional annotations, highlighting a gap in understanding their functional potential. …”
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    Article
  10. 1550

    Intensive vital signs monitoring reduces 30-day mortality among stroke patients: A cohort study from Tanzania. by Basil Tumaini, Ipyana Kunjumu, Mohamed Mnacho, Patricia Munseri

    Published 2025-01-01
    “…<h4>Background</h4>Stroke is a leading cause of mortality and disability worldwide, with disproportionate impacts in low- and middle-income countries due to limited healthcare resources. Monitoring vital signs during the acute phase of a stroke is critical for detecting complications. …”
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    Article
  11. 1551

    Distinct repertoires of microRNAs present in mouse astrocytes compared to astrocyte-secreted exosomes. by Ana Jovičić, Aaron D Gitler

    Published 2017-01-01
    “…<h4>Background</h4>Astrocytes are the most abundant cell type in the central nervous system (CNS) and secrete various factors that regulate neuron development, function and connectivity. microRNAs (miRNAs) are small regulatory RNAs involved in posttranslational gene regulation. …”
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  12. 1552

    Enabling beam-scanning antenna technologies for terahertz wireless systems: A review by Dongze Zheng, Geng-Bo Wu, Zhi Hao Jiang, Wei Hong, Chi Hou Chan, Ke Wu

    Published 2025-03-01
    “…While producing a scannable highly-directive antenna beam proves to be indispensable in the period of microwaves, the significance of such functionality is more critical in the THz era, considering that THz waves have more intractable challenges such as the severity of free-space propagation losses, the susceptibility to atmospheric environments, and the unavailability of efficient signal sources. …”
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  13. 1553
  14. 1554
  15. 1555

    21 Balmer Jump Street: The Nebular Continuum at High Redshift and Implications for the Bright Galaxy Problem, UV Continuum Slopes, and Early Stellar Populations by Harley Katz, Alex J. Cameron, Aayush Saxena, Laia Barrufet, Nichloas Choustikov, Nikko J. Cleri, Anna de Graff, Richard S. Ellis, Robert A.E. Fosbury, Kasper E. Heintz, Michael Maseda, Jorryt Matthee, Ian McConachie, Pascal A. Oesch

    Published 2025-07-01
    “…First, we provide a theoretical background, showing how different stellar populations (SPS models, initial mass functions (IMFs), and stellar temperatures) and nebular conditions impact observed galaxy spectra. …”
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  16. 1556

    ICP Enhancement Algorithm for 6D Pose Tracking of Household Objects by Hyunho Hwang, Hyunsoo Shin, Ji-Hun Bae, Sungon Lee

    Published 2025-01-01
    “…We estimate the initial pose using RGB keypoints and fine-tune the weights of the loss function to achieve an accurate pose by considering the flat and rotational symmetric properties of the object. …”
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  17. 1557

    Application of microscopic smartphone attachment for remote preoperative lab testing by Kefan Song, Kefan Song, Alexander T. Adams, Alexander T. Adams

    Published 2024-11-01
    “…This device is designed to assist both healthcare providers in resource-limited settings and patients by offering a low-cost, portable diagnostic tool that enables both in-clinic and at-home testing.MethodsThe system was tested for adaptability and compatibility by transitioning from its original Android platform to an iOS platform. …”
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  18. 1558

    Exploring the Medicinal Potential of <i>Taraxacum Kok-Saghyz</i> (<i>TKS</i>) Using Widely Targeted Metabolomics by Michele Tan, Jeffrey Shih-Chieh Chu, Daniel Robin Swiger

    Published 2025-05-01
    “…This study presents the first comprehensive metabolic profile of <i>TKS</i>, highlighting its potential value beyond rubber production. The detection of numerous therapeutic secondary metabolites supports its promise as a pharmaceutical and nutraceutical resource. …”
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  19. 1559

    Effects of Covid-19 Pandemic on School Dropout in Selected Primry Schools in Nyarusiza Sub-County Kisoro District. by Sibo, Dusabe Chris Jackson

    Published 2024
    “…Innovative approaches could be used such as applications of artificial intelligence in high-risk/high-traffic sites to enhance COVID-19 detection efficiency while protecting medical staff and the general public from cross-infections The government should establish a physical and automated platform for coordination and resource mobilization for support to the poor pupils and the most vulnerable groups affected by COVID-19-related lockdown.…”
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    Thesis
  20. 1560

    Image-based soft drink type classification and dietary assessment system using deep convolutional neural network with transfer learning by Rubaiya Hafiz, Mohammad Reduanul Haque, Aniruddha Rakshit, Mohammad Shorif Uddin

    Published 2022-05-01
    “…To perform experimentation a dataset is built containing ten most consumed soft drinks in Bangladesh using images from the ImageNet dataset, internet sources and also self-capturing. The experiment confirms that our system can detect and recognize different types of drinks with an accuracy of 98.51%.…”
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