Showing 1,661 - 1,680 results of 1,810 for search '((\ sources detection functions\ ) OR (( resources OR resources) detection function\ ))', query time: 0.32s Refine Results
  1. 1661

    Antioxidant Activity and Potential Bioactive Peptides from Skin Protein Hydrolysate of Yellowfin Tuna (<I>Thunnus albacares</I>) by Sitti Hardiyanti Rachman, Joko Santoso, Sugeng Heri Suseno

    Published 2023-04-01
    “…FPH possesses a molecular weight of 10.15-48.50 kDa. Functional groups detected were amides A, B, I, II, and III. …”
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  2. 1662
  3. 1663

    Robustness of viral load over CD4 cell count in measuring the quality of life of people with HIV at second line regimen in Amhara region by Awoke Seyoum Tegegne

    Published 2025-04-01
    “…Monitoring the quality of life of people under treatment helps to optimize the resource allocated for the program. Therefore, the main objective of the current study was to assess the quality of life comparing viral load and CD4 cell count and factors affecting the variable of interest among HIV-positive people under the second-line regimens. …”
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  4. 1664

    Transcriptome analysis reveals common and distinct mechanisms for sheepgrass (Leymus chinensis) responses to defoliation compared to mechanical wounding. by Shuangyan Chen, Yueyue Cai, Lexin Zhang, Xueqing Yan, Liqin Cheng, Dongmei Qi, Qingyuan Zhou, Xiaoxia Li, Gongshe Liu

    Published 2014-01-01
    “…GO, KOG and pathway-based enrichment analyses were performed to determine and further understand the biological functions of those differentially expressed genes (DEGs). …”
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  5. 1665

    Predictive model for coronavirus disease 2019 severity based on blood biomarkers: a retrospective study by Liu Xiaoyan, Bao Zhongying, Duan Shuhong, Sun Jing, Zhang Yijie, Zhang Jie, Liu Jingxin

    Published 2025-08-01
    “…Emergency department data functioned as an independent external validation set to test the model’s generalizability.ResultsThe study included 1,007 patients, with 778 in the training set and 229 in the validation set. …”
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  6. 1666
  7. 1667

    Glyceraldehyde-3-phosphate dehydrogenase acts as a mitochondrial trans-S-nitrosylase in the heart. by Mark J Kohr, Elizabeth Murphy, Charles Steenbergen

    Published 2014-01-01
    “…Mitochondrial proteins have been shown to be common targets of S-nitrosylation (SNO), but the existence of a mitochondrial source of nitric oxide remains controversial. SNO is a nitric oxide-dependent thiol modification that can regulate protein function. …”
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    Article
  8. 1668

    Reconstruction of defects in elastic bodies by combination of genetic algorithm and finite element method by Arkady N Solovyev, Mikhail Y. Shevtsov

    Published 2016-06-01
    “…The inverse problem solution is based on the minimization of the residual functional between the measured input source information and the data calculated during the numerical solution of direct problems with the given parameters of defects. …”
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  9. 1669

    Synthesis and Production of Sweet-Tasting Protein in E. coli and Purification by Amylose Resin by F. Mansouri

    Published 2011-06-01
    “…MBP-brazzein system permits large-scale functional expression and purification of recombinant soluble proteins, providing a basis for the future study of structure and function of brazzein.…”
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  10. 1670

    Molecular organization of the nanoscale surface structures of the dragonfly Hemianax papuensis wing epicuticle. by Elena P Ivanova, Song Ha Nguyen, Hayden K Webb, Jafar Hasan, Vi Khanh Truong, Robert N Lamb, Xiaofei Duan, Mark J Tobin, Peter J Mahon, Russell J Crawford

    Published 2013-01-01
    “…The molecular organization of the epicuticle (the outermost layer) of insect wings is vital in the formation of the nanoscale surface patterns that are responsible for bestowing remarkable functional properties. Using a combination of spectroscopic and chromatographic techniques, including Synchrotron-sourced Fourier-transform infrared microspectroscopy (FTIR), x-ray photoelectron spectroscopy (XPS) depth profiling and gas chromatography-mass spectrometry (GCMS), we have identified the chemical components that constitute the nanoscale structures on the surface of the wings of the dragonfly, Hemianax papuensis. …”
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  11. 1671

    PPI-GA: A Novel Clustering Algorithm to Identify Protein Complexes within Protein-Protein Interaction Networks Using Genetic Algorithm by Naeem Shirmohammady, Habib Izadkhah, Ayaz Isazadeh

    Published 2021-01-01
    “…Any disturbance in proteins interactive network can act as a source for biological disorders and various diseases such as Alzheimer and cancer. …”
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  12. 1672

    Artificial intelligence analysis in cyber domain: A review by Liguo Zhao, Derong Zhu, Wasswa Shafik, S Mojtaba Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

    Published 2022-04-01
    “…The results in this study demonstrated that using a proportional collection of instances trained with the deep learning algorithm, a classified data set can accurately detect suspicious behavior. This method permits for the allocation of multiple log source types through a sliding time window and provides a scalable solution, which is a much-needed function.…”
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  13. 1673

    Synthesis of aluminum oxide nanoparticles using seeds of Carica papaya and evaluation of it for antimicrobial, antioxidant, and photocatalysis activity by Indrani Laskar, Rajib Saha

    Published 2024-11-01
    “…The presence of an absorption peak at a wavelength of 272 nm in the synthesized nanoparticles was detected by UV–Vis spectroscopy analysis. The results of the FTIR study confirmed the existence of various chemicals and functional groups in the 500–4000 cm−1 range. …”
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  14. 1674

    A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study by Tessa Ohlsen, Viola Hofer, Josef Ingenerf

    Published 2025-02-01
    “…When errors are detected, the tool processes the SNOMED CT Concept Model in JSON format and applies predefined error categories. …”
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  15. 1675
  16. 1676

    A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

    Published 2025-08-01
    “…Traditional methods, such as single-task learning and ensemble approaches, often struggle with these challenges, particularly in detecting rare but critical vulnerabilities. To address this, we propose the MTLPT: Multi-Task Learning with Position Encoding and Lightweight Transformer for Vulnerability Prediction, a novel multi-task learning framework that leverages custom lightweight Transformer blocks and position encoding layers to effectively capture long-range dependencies and complex patterns in source code. …”
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  17. 1677

    In-band network telemetry system based on high-performance packet processing architecture VPP by Tian PAN, Xingchen LIN, Jiao ZHANG, Tao HUANG, Yunjie LIU

    Published 2021-03-01
    “…An in-band network telemetry-based system was built based on VPP, a high-performance virtual network forwarding architecture/device, via reorganizing the data plane pipeline processing modules.Moreover, a network-wide telemetry mechanism was further developed via embedding source routing into the probe packet header for specifying the route of probe packets.Finally, a virtual network topology was built with performance evaluation conducted.The evaluation shows that the telemetry system can monitor the network in a high precision of every 0.13 ms, detecting link congestion in real time with minor performance overhead.Given virtual network devices have been widely deployed in data centers, the proposed scheme is expected to improve the reliability of multi-tenancy and network function virtualization in data centers via high-precision, network-wide virtual link telemetry coverage.…”
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  18. 1678
  19. 1679

    Influence of Organic Nitrogen Derived from Recycled Wine Lees and Inorganic Nitrogen on the Chemical Composition of Cabernet Sauvignon Wines Fermented in the Presence of Non-Saccha... by Claudia López-Lira, Pedro Valencia, Alejandra Urtubia, Esteban Landaeta, Ricardo A. Tapia, Wendy Franco

    Published 2024-12-01
    “…In this study, the influences of inorganic nitrogen source (INS) and organic nitrogen source (ONS) supplementation during the wine fermentation process using three non-Saccharomyces yeasts (<i>Candida zemplinina</i>, <i>Candida oleophila</i>, and <i>Candida boidinii</i>) were analyzed. …”
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  20. 1680