Showing 1,521 - 1,540 results of 1,810 for search '((( source OR sources) detection functions ) OR ( resource detection function ))', query time: 0.31s Refine Results
  1. 1521
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    Enhancing Medium-Chain Fatty Acid Delivery Through Bigel Technology by Manuela Machado, Eduardo M. Costa, Sara Silva, Sérgio C. Sousa, Ana Maria Gomes, Manuela Pintado

    Published 2024-11-01
    “…This study presents the development and characterization of medium-chain fatty acid (MCFA)-loaded bigels, using coconut oil as the MCFA source. The bigels exhibited high oil binding capacity, ranging from 87% to 98%, effectively retaining MCFAs within the matrix, with lauric acid (C12) being the main component detected within the bigels at 178.32 ± 0.10 mg/g. …”
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  3. 1523

    Integrating Ambient In-Home Sensor Data and Electronic Health Record Data for the Prediction of Outcomes in Amyotrophic Lateral Sclerosis: Protocol for an Exploratory Feasibility S... by William E Janes, Noah Marchal, Xing Song, Mihail Popescu, Abu Saleh Mohammad Mosa, Juliana H Earwood, Vovanti Jones, Marjorie Skubic

    Published 2025-03-01
    “…Sensor data are subjected to a multidimensional streaming clustering algorithm to detect changes in health status. Specific health outcomes are identified in the EHR and extracted via the REDCap (Research Electronic Data Capture; Vanderbilt University) Fast Healthcare Interoperability Resource directly into a secure database. …”
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  4. 1524

    Genomic Signatures of Positive Selection and Local Adaptation in Ethiopian Sheep Populations by B. E. Demissie, G. M. Tarekegn, H. Dadi, Z. Edea, A. A. Woldesemayat, K-S Kim, S. Girma, T. Seyoum, K. Melaku, S. Keskes

    Published 2025-05-01
    “…Fixation index (FST) and cross-population extended haplotype homozygosity (XPEHH) methods were used to detect signatures of positive selection. Functional analysis revealed genes related to plateau adaptation, immune response, and tail fat formation. …”
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  5. 1525
  6. 1526

    Joint Survey Processing. III. Compact Oddballs in the COSMOS Field—Little Red Dots and Transients by Yu-Heng Lin, Andreas L. Faisst, Ranga-Ram Chary, Anton M. Koekemoer, Joseph Masiero, Daniel Masters, Vihang Mehta, Harry I. Teplitz, Gregory L. Walth, John R. Weaver

    Published 2025-01-01
    “…We present the Hubble Space Telescope (HST) Advanced Camera for Surveys (ACS) G800L grism spectroscopy observation of the faint active galactic nuclei (AGN) candidates in the Cosmic Evolution Survey field at redshift of 6 selected by the point-source morphology and the photometry drop-off at 8000 Å. …”
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  7. 1527

    Research note: Harnessing the potential of chicken blastodermal cells as a new frontier in poultry science and biotechnology – Establishment of embryonic stem cells and their diffe... by Małgorzata Duda, Patrycja Maciak, Grzegorz Tylko, Kamil Wartalski, Monika Trzcińska, Marek Romek, Marcin Samiec

    Published 2025-02-01
    “…These findings highlight the potential of B-ESCs as a valuable source for propagating SC-LCs, with implications for regenerative medicine and neural/glial tissue engineering applications. …”
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  8. 1528

    Targeted proteomics for absolute quantification of glucose transporter 1 in mammalian brain cells using liquid chromatography-mass spectrometry by Yash Mehta, Dhavalkumar Patel, Iqra Pervaiz, Ulrich Bickel, Abraham Jacob Al-Ahmad

    Published 2025-05-01
    “…Glucose represents a major source of energy for mammalian brains. Its uptake is tributary to a functional glucose transporter (GLUT1) expression at the blood-brain barrier (BBB). …”
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  9. 1529

    Strategies and Challenges for Unmanned Aerial Vehicle-Based Continuous Inspection and Predictive Maintenance of Solar Modules by Ghulam E. Mustafa Abro, Amjad Ali, Sufyan Ali Memon, Tayab Din Memon, Faheem Khan

    Published 2024-01-01
    “…Our review paper emphasizes instant functionality and practical insights for predictive maintenance, without necessitating complex computing resources or optimization tools. …”
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  10. 1530

    Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

    Published 2025-12-01
    “…Machine learning models can process complex datasets, identify hidden patterns, and facilitate early risk detection, enabling banks to implement preventive measures before risks materialize. …”
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  11. 1531

    Evaluation of innovative technology market potential on the basis of technology audit by Oleksandra Kosenko, Victoriia Cherepanova, Iryna Dolyna, Viktoriia Matrosova, Olena Kolotiuk

    Published 2019-05-01
    “…This mechanism is built on structure evaluation table of technology market potential level detection as an object of commercialization. To ensure the efficiency of practical effect of the mechanism proposed, the authors systematized and completed methods of functional analysis and scanning of market environment for the purpose of qualitative comprehensive evaluation and innovative technology market potential forecasting.Introduction of the proposed evaluation method for technology market potential will result in the improvement of efficiency of enterprise innovation activity due to more rational distribution of available resources and immediate financing of developments with greater market potential.…”
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  12. 1532

    Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

    Published 2025-05-01
    “…Abstract Denial of Wallet (DoW) attacks are one kind of cyberattack whose goal is to develop and expand the financial sources of a group by causing extreme costs in their serverless computing or cloud environments. …”
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  13. 1533

    Association of Trace Elements with Polycystic Ovary Syndrome in Women—A Case-Control Study by Tinkara Srnovršnik, Bojana Pinter, Milena Horvat, Janja Snoj Tratnik, Ingrid Falnoga, Darja Mazej, Ivan Verdenik, Irma Virant-Klun

    Published 2025-01-01
    “…This case–control study aimed to determine levels of essential TEs (manganese (Mn), copper (Cu), zinc (Zn), selenium (Se), molybdenum (Mo)) and non-essential TEs (arsenic (As), cadmium (Cd), mercury (Hg), lead (Pb)) in urine, whole blood, and serum to investigate a possible association with kidney and liver function, endocrine and metabolic parameters, and environmental and lifestyle sources of potential exposure and provide possible recommendations. …”
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  14. 1534

    Glucosylceramides containing very long-acyl-chain fatty acid are critical for cotton fiber elongation by influencing brassinosteroid synthesis and signaling by Qiaoling Wang, Xingying Yan, Qi Niu, Hongju Zhang, Huidan Tian, Zheng Chen, Fan Xu, Yu You, Yinghui Gao, Zhiqing Qiao, Ming Luo

    Published 2025-08-01
    “…Cotton fiber is one of the longest plant cells and sphingolipids are closely associated with the development of cotton fiber cells. However, their function in cotton fiber cell development and its action mechanism is unclear. …”
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  15. 1535

    Potential physiological mechanisms behind variation in rainbow trout (Oncorhynchus mykiss) to biosynthesize EPA and DHA when reared on plant oil replacement feeds by Ken Overturf, Jason Abernathy, Dietmar Kültz, Jacob Bledsoe, Shawn Narum, Thomas Welker

    Published 2025-04-01
    “…The omega-3 fatty acids, docosahexaenoic acid (DHA; 22:6n-3) and eicosapentaenoic acid (EPA; 20:5n-3), are of primary concern as they provide significant health benefits such as reducing inflammation and improving heart and health function. However, the DHA; 22:6n-3 and EPA; 20:5n-3 available for aquaculture feeds is primarily provided by fish oil which is already limited in availability and expensive, and dietary lipids are consistently being replaced with oil sourced from plants. …”
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