Showing 81 - 100 results of 2,013 for search '(((pinne OR scanned) OR fine) OR ((pinna OR (sspinna OR ssspinna)) OR ping))', query time: 0.18s Refine Results
  1. 81

    Binding of TCR multimers and a TCR-like antibody with distinct fine-specificities is dependent on the surface density of HLA complexes by Low, Jianrong L., Gehring, Adam J., Kranz, David M., Grotenbreg, Gijsbert M., Yau, Yin Hoe, Shochat, Susana Geifman, Bertoletti, Antonio, Naidoo, Anneta, Yeo, Gladys, Ho, Zi Zong

    Published 2013
    “…In line with this, we report the construction of a soluble tetrameric form of an αβ T cell receptor (TCR) specific for the HBV epitope Env183–191 restricted by HLA-A*02:01, and compare its avidity and fine-specificity with a TCR-like monoclonal antibody generated against the same HLA target. …”
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    Journal Article
  2. 82
  3. 83

    Testing of metallic specimens using "C" scan ultrasonic procedures to locate, size and determine shape of defects by Loke, Zhen Dong

    Published 2019
    “…“C” scan ultrasonic scan testing has not been widely used in the inspection of materials compared to other ultrasonic testing procedures such as “A” scan even though the “C” scan has a higher productivity as it is automated. …”
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    Final Year Project (FYP)
  4. 84

    The Effect Of Laser Power And Scanning Speed On The Density Of Selective Laser Melting Fabricated AL-CNT Composites by Du, Zhenglin, Tan, Ming Jen, Guo, Jun Feng, Chua, Chee Kai, Lim, Jun Jie Dalton

    Published 2016
    “…The influence of laser power and scanning speed on the densification behavior and microhardness were studied. …”
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    Conference Paper
  5. 85

    Effects of data amount and variation in deep learning-based tuberculosis diagnosis in chest X-ray scans by Bhorkar, A, Gonzales, RA

    Published 2024
    “…Our study aims to enhance diagnostic opportunities by developing a deep-learning model to categorize pulmonary X-ray scans into “normal” and “tuberculosis” classes. Exercising feature extraction, we incorporated VGG-16 (Visual Geometry Group network with 16 layers) architecture to enhance model classification accuracy via transfer learning. …”
    Journal article
  6. 86

    Detection of lard and randomized lard as adulterants in refined-bleached-deodorized palm oil by differential scanning calorimetry by Marikkar, J.M.N., Lai, O.M., Ghazali, H.M., Che Man, Y.B.

    Published 2001
    “…A study was conducted to assess the use of differential scanning calorimetry (DSC) for detecting the presence of lard/randomized lard as adulterants in refined-bleached-deodorized (RBD) palm oil. …”
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    Article
  7. 87

    An emerging network for COVID-19 CT-scan classification using an ensemble deep transfer learning model by Yousefpanah, Kolsoum, Ebadi, M. J., Sabzekar, Sina, Zakaria, Nor Hidayati, Osman, Nurul Aida, Ali Ahmadian, Ali Ahmadian

    Published 2024
    “…The publicly available SARS-CoV-2 CT dataset is utilized for our implementation, including 2481 CT scans. The dataset is separated into 2108, 248, and 125 images for training, validation, and testing, respectively. …”
    Article
  8. 88
  9. 89

    Effects of accelerated carbonation on fine incineration bottom ash: CO2 uptake, strength improvement, densification, and heavy metal immobilization by Sun, Xinlei, Xu, Bo, Yi, Yaolin

    Published 2024
    “…Due to the higher heavy metal contents, fine IBA can be removed from total IBA and treated separately to promote the use of IBA. …”
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    Journal Article
  10. 90
  11. 91

    Morphological and mechanical analysis of filler based polymer composites and additively manufactured lattices using micro-CT scanning by Jain, Palash Abhineet

    Published 2021
    “…Micro-CT scanning as a non-destructive characterization technique has been gaining traction in the study of composite materials and additively manufactured structures, where samples are often costly to manufacture in bulk for any form of testing. …”
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    Final Year Project (FYP)
  12. 92

    Deep mutation, insertion and deletion scanning across the Enterovirus A proteome reveals constraints shaping viral evolution by Bakhache, W, Symonds-Orr, W, McCormick, L, Dolan, PT

    Published 2024
    “…Here, we conduct deep mutational scanning to map and quantify the mutational tolerance of a complete viral proteome to insertion, deletion and substitution. …”
    Journal article
  13. 93

    Intracranial volume post cranial expansion surgery using 3D CT scan imaging in children with craniosynostosis by Sulong, Shukriyah

    Published 2019
    “…Result: 14 cases (6 males and 8 females) with 28 3D CT scan were identified. The mean age of patients was 23 months. …”
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    Thesis
  14. 94

    Analysis of electroencephalogram data activity during reading using scanning and survey question read recite review techniques by Rosnee Ahad, Rosnee Ahad, Lee, Lee Ming Foong, Mustafa, Mohamad Zaid, Ab Rahman, Azmanirah, Fuad, Norfaiza, Seri Kawi, Fatin Fatinah

    Published 2024
    “…Analysis revealed that three subjects showed higher effectiveness with the Scanning technique, while two favored the SQ3R technique. …”
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    Conference or Workshop Item
  15. 95
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  17. 97

    Strength and heat emissions performance of high strength concrete containing fine metakaolin & palm oil fuel ash as partial cement replacement by Abu Bakar, M. N. R., Ismail, M. H., Che Rahim, N. A. N., Majid, M. A., Md Noor, N., George, A. F.

    Published 2024
    “…The slump and compressive strength tests were carried out first on concrete that uses fine metakaolin (FMK) only as a partial cement replacement to obtain an optimum value of FMK. …”
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    Conference or Workshop Item
  18. 98
  19. 99

    Fine-scale genetic structure and natural selection signatures of southwestern Hans inferred from patterns of genome-wide allele, haplotype, and haplogroup lineages by Wang, Mengge, Yuan, Didi, Zou, Xing, Wang, Zheng, Yeh, Hui-Yuan, Liu, Jing, Wei, Lan-Hai, Wang, Chuan-Chao, Zhu, Bofeng, Liu, Chao, He, Guanglin

    Published 2021
    “…The evolutionary and admixture history of Han Chinese have been widely discussed via traditional autosomal and uniparental genetic markers [e.g., short tandem repeats, low-density single nucleotide polymorphisms). However, their fine-scale genetic landscapes (admixture scenarios and natural selection signatures) based on the high-density allele/haplotype sharing patterns have not been deeply characterized. …”
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    Journal Article
  20. 100