Showing 981 - 1,000 results of 1,696 for search '((pinnau OR hinge) OR ((min OR (sspinn OR (anda OR ssbina))) OR skin))', query time: 0.16s Refine Results
  1. 981

    Investigation of low coherence interferometry techniques for biomedical applications by Chow, Tzu Hao

    Published 2014
    “…The results showed that there is sufficient resolution in the overall endoscopic OCT probe system to pick out sweat ducts beneath a human skin. The axial resolution of the OCT system depends on the bandwidth of the light source. …”
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    Thesis
  2. 982

    Cytotoxicity assessment of α helix Antarctic yeast oriented antifreeze peptide (Afp1m) on M. dunni (Clone III8C) cells by Khan, Muhammad Shuaib, Abdul Rahman, Mohd Basyaruddin, Abu Bakar, Mohd Zuki, Noordin, Mohammed Mustapha, Ullah, Shakeeb, Abdul Abubakar, Adamu, Rehman, Saifur, Saddiqua, Aisha, Mohammad Yusof, Loqman

    Published 2024
    “…In order to assess the cytotoxic effects of the cryoprotectant helix Antarctic yeast-orientated antifreeze peptide Afp1m on normal mouse skin fibroblasts, an in vitro model was developed for cytotoxicity assessment. …”
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    Article
  3. 983

    Characterization of oil from liver and visceral fats of patin (Pangasianodon hypophthalmus Sauvage) and its use in hand cream preparation by Shabanikakroodi, Samana

    Published 2014
    “…The formulation containing 2.5% of fish oil obtained the best related values in all investigated items including skin texture, moisture, smoothness, brightness, and well being perception.…”
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    Thesis
  4. 984

    Optimization of surface roughness on duplex stainless steel in dry milling by Nurul Hidayah, Razak, Mohammad Rizal, Md Ali

    Published 2024
    “…An optimum machining parameters speed of cutting of 78.283 mm/min, rate of feed of 0.100 mm/tooth and axial depth of 0.834 mm is identified as the optimum values.…”
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    Conference or Workshop Item
  5. 985

    Artificial neural network-salp-swarm algorithm for stock price prediction by Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Azlan, Abdul Aziz

    Published 2024
    “…Before training, the dataset is normalized using the min-max normalization technique to reduce the influence of noise. …”
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    Article
  6. 986

    Optimizing targeted vaccination across cyber–physical networks: an empirically based mathematical simulation stud by Mones, Enys, Stopczynski, Arkadiusz, Pentland, Alex, Hupert, Nathaniel, Lehmann, Sune

    Published 2021
    “…Here, we study the digital communication activity of more than 500 individuals along with their person-to-person contacts at a 5-min temporal resolution. We then simulate different disease transmission scenarios on the person-to-person physical contact network to determine whether cyber communication networks can be harnessed to advance the goal of targeted vaccination for a disease spreading on the network of physical proximity. …”
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    Article
  7. 987

    Optimizing targeted vaccination across cyber–physical networks: an empirically based mathematical simulation study by Mones, Enys, Stopczynski, Arkadiusz, Pentland, Alex, Hupert, Nathaniel, Lehmann, Sune

    Published 2021
    “…Here, we study the digital communication activity of more than 500 individuals along with their person-to-person contacts at a 5-min temporal resolution. We then simulate different disease transmission scenarios on the person-to-person physical contact network to determine whether cyber communication networks can be harnessed to advance the goal of targeted vaccination for a disease spreading on the network of physical proximity. …”
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    Article
  8. 988

    Query lower bounds for log-concave sampling by Chewi, Sinho, de Dios Pont, Jaume, Li, Jerry, Lu, Chen, Narayanan, Shyam

    Published 2024
    “…In this work, we establish the following query lower bounds: (1) sampling from strongly log-concave and log-smooth distributions in dimension ≥ 2 requires Ω(log) queries, which is sharp in any constant dimension, and (2) sampling from Gaussians in dimension (hence also from general log-concave and log-smooth distributions in dimension) requires Ωe(min( √ log,)) queries, which is nearly sharp for the class of Gaussians. …”
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    Article
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