Showing 121 - 140 results of 14,936 for search '"NO99"', query time: 0.09s Refine Results
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    Dataset of shotgun metagenomic evaluation of Sorghum bicolor rhizosphere microbiome in soils preceded by Glycine maxNCBINCBINCBINCBI by Olubukola Oluranti Babalola, Ben Jesuorsemwen Enagbonma

    Published 2025-02-01
    “…The effective metagenome after QC of the twelve samples include SA1 (99.72%), SA2 (99.50%), SA3 (99.68%), SN1 (99.75%), SN2 (99.76%), SN3 (99.70%), RA1 (99.72%), RA2 (99.77%), RN3 (99.72%), RN1 (99.67%), RN2 (99.68%), and RN3 (99.54%). …”
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  10. 130

    WEB VULNERABILITIES DETECTION USING A HYBRID MODEL OF CNN, GRU AND ATTENTION MECHANISM by Sarbast H. Ali, Arman I. Mohammed, Sarwar MA. Mustafa, Sardar Omar Salih

    Published 2025-01-01
    “…When using the dataset SXCM1, our model achieved 99.77%, 99.66% and 99.63% for training, validation and testing, respectively. …”
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    Biometabolic Distribution of Tc-3PRGD2 and its Potential Value in Monitoring Chemotherapeutic Effects by Jian-Guo Wu, Shao-Li Song, Xiang Zhou, Fan Wang, Yin-Yan Zhu, Lei Xie, Fan Zhang, Gang Huang

    Published 2015-12-01
    “…Previous studies have reported that 99m Tc-3PRGD2 is an excellent tumor imaging agent that showed a good correlation with integrin α v β 3 , a main factor of tumor-induced angiogenesis. …”
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  13. 133

    Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit by Pravin Balaso Chopade, Prabhakar N. Kota, Bhagvat D. Jadhav, Pravin Marotrao Ghate, Shriram Sadashiv Kulkarni

    Published 2025-01-01
    “…The proposed model achieves better results on the MESSIDOR datasets on the metrics of accuracy, precision, recall, specificity, f1-score, and Area Under Curve (AUC) values of about 99.72%, 99.46%, 99.25%, 99.61%, 99.37% and 99.14%, correspondingly, proving to be superior to the existing method, Capsule Network and Hybrid Adaptive DL based DR (HADL-DR). …”
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    Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells by Nida Aslam, Irfan Ullah Khan, Aisha Alansari, Marah Alrammah, Atheer Alghwairy, Rahaf Alqahtani, Razan Alqahtani, Maryam Almushikes, Mohammed AL Hashim

    Published 2022-01-01
    “…The empirical results demonstrated promising outcomes, where RF achieved the highest accuracy, recall, precision, F1-score, and AUC of 99.60%, 99.64%, 99.91%, 99.77%, and 1.00, respectively, using the sampled data, and 99.84%, 99.91%, 99.91%, 99.91%, and 1.00, respectively, using the original data. …”
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  17. 137

    Test-Retest Reliability and Validity of TecnoBody D-Wall to Assess the Range of Motion During Overhead Squat in Healthy Individuals by Caglar Soylu, Gorkem Acar, Berkay Uzumcu, Pervin Demir, Sinan Seyhan, Turker Biyikli

    Published 2025-01-01
    “…The results demonstrated excellent agreement between the two systems, with intra-class correlation coefficients (ICC) ranging from 0.79 to 0.99. For the knee joint, the test-retest ICC values were 0.99 (95% CI: 0.97–0.99) for Kinovea and 0.98 (95% CI: 0.95–0.99) for the D-Wall on the right side, and 0.98 (95% CI: 0.97–0.99) for Kinovea and 0.88 (95% CI: 0.79–0.94) for the D-Wall on the left side. …”
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  18. 138

    The impact of cold deformation, annealing temperatures and chemical assays on the mechanical properties of platinum by Trumić B., Stanković D., Ivanović A.

    Published 2010-01-01
    “…In order to form the necessary data base on platinum and platinum metals, certain tests were carried out on platinum samples of different purity of 99.5%, 99.9% and 99.99%. The degree of cold deformation, annealing temperature and chemical assays were tested as well as their impact on the mechanical properties of platinum. …”
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    Morphological and Molecular Identification of <i>Sarcocystis arctica</i> in Captive Cheetahs (<i>Acinonyx jubatus</i>) in China Helps Clarify Phylogenetic Relationships with <i>Sar... by Zhe Liao, Niuping Zhu, Yurong Yang, Shuangsheng Deng, Thomas Jäkel, Junjie Hu

    Published 2025-01-01
    “…The samples shared their highest molecular identity values with those of <i>S. arctica</i> and <i>S. caninum</i>: 99.9–100% and 99.8–100% (18S rRNA), 99.5% and 99.3–99.5% (28S rRNA), 95.9–97.5% and 96.3–97.3% (ITS-1), and 99.6% and 99.2–99.7% (<i>cox</i>1), respectively. …”
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