Showing 1,561 - 1,580 results of 1,810 for search '((\ (source OR sources) detection functions\ ) OR (( resource OR resources) detection function\ ))', query time: 0.28s Refine Results
  1. 1561

    Explainable artificial intelligence of DNA methylation-based brain tumor diagnostics by Salvatore Benfatto, Martin Sill, David T. W. Jones, Stefan M. Pfister, Felix Sahm, Andreas von Deimling, David Capper, Volker Hovestadt

    Published 2025-02-01
    “…We anticipate that our resource will build up trust in machine learning in clinical settings, foster biomarker discovery and development of compact point-of-care assays, and enable further epigenome research of brain tumors. …”
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  2. 1562

    Spectrum of Cortactin Isoforms in the Urine of Patients with Liver Cirrhosis and Their Diagnostic Value as a Potential Molecular Marker of its Severity by Fayura O., Starikovych M., Abrahamovych O., Abrahamovych M., Stoyka R., Kit Yu.

    Published 2019-10-01
    “…An important source of protein markers is the results of detailed proteomics (two-dimensional electrophoresis of proteins followed by mass spectrometry) of human urine, depending on the disease. …”
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  3. 1563

    rangr: An R package for mechanistic, spatially explicit simulation of species range dynamics by Katarzyna Markowska, Katarzyna Malinowska, Lechosław Kuczyński

    Published 2025-03-01
    “…Several mechanistic, spatially explicit models have been proposed to address this issue, but they do not cover the full range of potential functionalities. We present a new open‐source R package called rangr, which integrates population dynamics and dispersal into a mechanistic virtual species simulator. …”
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  4. 1564

    A novel method for accelerating surgical wound healing in rabbits by collagen extraction from carp (Cyprinus carpio) fish skin by Shahbaa Kh. Al-Taee

    Published 2025-04-01
    “…The extracted collagen was characterized by low viscosity, transparency, and a watery consistency; the functional groups of collagens were detected using Fourier Transform Infrared Spectroscopy. …”
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  5. 1565

    Host selection is not a universal driver of phyllosphere community assembly among ecologically similar native New Zealand plant species by Anya S. Noble, Jaber Abbaszadeh, Charles K. Lee

    Published 2025-01-01
    “…Furthermore, we propose that phyllosphere microbiomes under strong host selection, such as that of mānuka, may act as a source of microorganisms for the phyllosphere microbiomes of neighbouring plants. …”
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  6. 1566

    Growth Toxic Effects of Metal Nanoparticles on Bacillus subtilis and Vibrio parahaemolyticus by Shiyu CHEN, Bin XIA, Lin ZHU, Shuang LI, Qiufen LI, Xuemei SUN, Wei DAI

    Published 2025-04-01
    “…Concurrently, organic colloids from natural sources, dust aerosols from volcanic eruptions, and other metal nanoparticles also widely exist in nature which can be transferred directly or indirectly into the ocean through sewage dumping, air subsidence, and surface runoff, thereby threatening marine environments. …”
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  7. 1567

    Involvement of transposable elements in neurogenesis by R. N. Mustafin, E. K. Khusnutdinova

    Published 2020-04-01
    “…Significant activity of long non-coding RNA was detected in the hippocampus, which confirms the role of transposons in the regulation of brain function. …”
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  8. 1568

    Biochemical, nutritional, and nutraceutical properties of cactus pear accessions by Yazgan Tunç, Mehmet Yaman, Kadir Uğurtan Yılmaz, Ali Khadivi, Daya Shankar Mishra

    Published 2025-06-01
    “…These findings contribute valuable insights for the conservation and utilization of wild cactus pear genetic resources, supporting the development of functional food products and sustainable cultivation strategies in Mediterranean climates.…”
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  9. 1569

    The barley genome sequence assembly reveals three additional members of the CslF (1,3;1,4)-β-glucan synthase gene family. by Miriam Schreiber, Frank Wright, Katrin MacKenzie, Pete E Hedley, Julian G Schwerdt, Alan Little, Rachel A Burton, Geoffrey B Fincher, David Marshall, Robbie Waugh, Claire Halpin

    Published 2014-01-01
    “…This significant divergence within the gene family might be related to multiple functions of (1,3;1,4)-β-glucans in the Poaceae. Emerging genomic and global expression data for barley and other cereals is a powerful resource for characterising the evolution and dynamics of complete gene families. …”
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  10. 1570
  11. 1571
  12. 1572

    Evaluation of Cloud Masking Methods using Sentinel-2 Satellite Images on Google Earth Engine: A Case Study in Vietnam by Le Minh Hang, Bui Xuan Hung, Nguyen Thi Thu Nga, Mai Phuong Pham, Nguyen Quoc Khanh

    Published 2024-09-01
    “…Sentinel-2 imagery is currently the primary source of data for Earth monitoring. There are several ways to create cloudless images from multi-temporal Sentinel-2 optical satellite imagery on the Google Earth Engine (GEE) platform. …”
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  13. 1573

    Length–Weight Distribution of Non-Zero Elements in Randomized Bit Sequences by Christoph Lange, Andreas Ahrens, Yadu Krishnan Krishnakumar, Olaf Grote

    Published 2025-06-01
    “…The focus of the current work is on detecting deviations from the ideal gap-density function describing randomized bit sequences. …”
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  14. 1574

    Features of the alpha-cell population organization in pancreas of spontaneously hypertensive rats (SHR) by T. V. Abramova, Yu. M. Kolesnyk

    Published 2017-08-01
    “…At the same time, glucagon-suppressive therapy is defined as the strategically main source of success of therapy for patients with type 2 diabetes mellitus. …”
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  15. 1575

    On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

    Published 2025-01-01
    “…This estimation makes it possible to determine whether the network makes decisions as expected (decision-making is related to the model’s observation of objects belonging to different semantic classes in the environment) and to detect unexpected, seemingly chaotic behavior that might be, for example, the result of data bias, bad design of the reward function or insufficient generalization abilities of the model. …”
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  16. 1576

    Postpartum Methicillin-Resistant Staphylococcus aureus Toxic Shock Syndrome Caused by a Perineal Infection by Yoko Deguchi, Yuko Horiuchi, Kensaku Shojima, Naoyuki Iwahashi, Miwa Ikejima, Kazuhiko Ino, Kenichi Furukawa

    Published 2018-01-01
    “…Furthermore, since MRSA was not detected in the nasal and vaginal cavity during pregnancy, it suggests that vaginal colonization can also occur postpartum and be the disease source in mothers. …”
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  17. 1577

    EVL Promotes Osteo-/Odontogenic Differentiation of Dental Pulp Stem Cells via Activating JNK Signaling Pathway by Kangrui Zeng, Qiongyi Kang, Yutong Li, Weiping Li, Qing Cheng, Wenwei Xia

    Published 2023-01-01
    “…Human dental pulp stem cells (hDPSCs) were recognized as a suitable and promising source of stem cells in dental pulp regeneration. …”
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  18. 1578

    Feasibility of Proton Range Estimation with Prompt Gamma Imaging in Proton Therapy of Lung Cancer: Monte Carlo Study by Elham Rohollahpour, Hadi Taleshi Ahangari

    Published 2024-12-01
    “…Subjects and Methods: The proton pencil beam source was defined as a function of the tumor size to encompass the tumor volume. …”
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  19. 1579

    The Influence of Working in Stone Crushing Factories on Specific Respiratory Parameters by Belal Rahhal, Raya Sinnokrot, Omar Abuzant, Samah Shahin, Amany Masalmeh, Wala Jarrar

    Published 2014-09-01
    “…Working in stone-cutting factories is a known source for silica dust exposure, which has pathogenic effects on the respiratory system resulting finally in silicosis which may end in malignancy. …”
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  20. 1580

    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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