Search Results - "Ullah, Sifat"

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  1. 1

    Harmful and Potentially Harmful Constituents Analysis of North American ENDS by Smith, Cameron, Jamison, Brian, Jongsma, Candice, Carter, Karen, Wang, Jiaming, Bates, Austin, Ullah, Sifat, Cook, David, Gene Gillman, I.

    “…The objective of this study was to create a North American e-cigarette, or electronic nicotine delivery system (ENDS), market map representative of the 2020…”
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    Journal Article
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    Study of Codon Usage Patterns and Influencing Factors in Rice Yellow Mottle Virus Based on Coding Sequence Data by Rahman, Siddiq Ur, Nawaz, Sajid, Ullah, Sifat, Rahman, Inayat Ur, Haq, Muhammad Inam Ul, Khan, Muazzam Ali, Al-Ghamdi, Abdullah Ahmed, Al-Hemaid, Fahad M, Elshikh, Mohamed S, Aljowaie, Reem M, Eltayb, Wafa Ali

    Published in Agronomy (Basel) (01-08-2022)
    “…Rice yellow mottle virus (RYMV), transmitted by chrysomelids, is one of the major viral pathogens that has devastated rice production in Sub-Saharan Africa…”
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    Journal Article
  5. 5

    Experimental seismic performance evaluation of brick masonry cavity-wall buildings by Ullah Khan, Sifat, Naseer, Amjad, Fahim, Muhammad, Ashraf, Mohammad, Badshah, Eid

    Published in Structures (Oxford) (01-07-2022)
    “…A full-scale single room cavity-wall brick masonry structure is tested under quasi-static reverse cyclic loading to evaluate its seismic behavior at the…”
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    Journal Article
  6. 6

    Maintaining low friction coefficient and ultralow wear in metal-filled PTFE composites by Ullah, Sifat, Haque, Faysal M., Sidebottom, Mark A.

    Published in Wear (15-06-2022)
    “…Many reinforcing fillers (particles, fibers, and platelets) can reduce the high wear rate of polytetrafluoroethylene (PTFE) (K∼10−4 to 10−3mm3/Nm) by 10–1000…”
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    Journal Article
  7. 7

    Nanomechanical Filler Functionality Enables Ultralow Wear Polytetrafluoroethylene Composites by Sidebottom, Mark A., Babuska, Tomas F., Ullah, Sifat, Heckman, Nathan, Boyce, Brad L., Krick, Brandon A.

    Published in ACS applied materials & interfaces (07-12-2022)
    “…Surprisingly, certain α-phase alumina filler particles at one to five weight percent can reduce the wear rate of polytetrafluoroethylene (PTFE) by 10,000…”
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    Journal Article
  8. 8

    Evaluation of Filler and Counterbody Hardness on Wear Rates in PTFE Composites by Ullah, Sifat

    Published 01-01-2021
    “…Polytetrafluoroethylene (PTFE) is commonly used as a solid lubricant due to its ultralow friction coefficient (µ=0.04~0.20). However, its high wear rate…”
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    Dissertation
  9. 9

    Lung Cancer Nodules Detection via an Adaptive Boosting Algorithm Based on Self-Normalized Multiview Convolutional Neural Network by Khan, Adeel, Tariq, Irfan, Khan, Haroon, Khan, Sifat Ullah, He, Nongyue, Zhiyang, Li, Raza, Faisal

    Published in Journal of oncology (26-09-2022)
    “…Lung cancer is the deadliest cancer killing almost 1.8 million people in 2020. The new cases are expanding alarmingly. Early lung cancer manifests itself in…”
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    Journal Article
  10. 10

    FREQUENCY OF ABO, RH AND ABO-RH BLOOD GROUPS IN STUDENTS OF GOMAL MEDICAL COLLEGE, D.I.KHAN, PAKISTAN by Amin, Sadiq, Ahmad, Jawad, Khan, Muhammad Suhail, Khan, Amanullah, Khan, Rashid Hassan, Umar, Muhammad, Rehan, Muhammad, Ullah, Sifat, Ullah, Barkat, Sani, Muhammad, Zia, Abdullah, Khan, Ashraf, Kundi, Asif, Ullah, Rizwan

    Published in Gomal journal of medical sciences (31-03-2020)
    “…Background: Blood group of an individual is commonly determined by ABO & Rh status. The objectives of the study were to determine the frequency of ABO, Rh and…”
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    Journal Article
  11. 11

    Half Bridge LLC resonant Converter Design for Wide Input Voltage Range Applications by Shah, Syed Sikandar, Sun, Weifeng, Khan, Sifat Ullah, Qian, Qinsong

    “…This manuscript explain the design of half bridge LLC resonant converter for extensive input voltage range applications with high efficiency in normal mode and…”
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    Conference Proceeding
  12. 12

    Cost Sensitive Self-normalized Deep Convolutional Neural Network for Pulsars Selection by Tariq, Irfan, Qiao, Meng, Yao, Shunyu, Ullah, Kalim, Khan, Sifat Ullah, Wei, Liu

    “…Machine learning and deep learning algorithms have been used to classify pulsar and non-pulsar signals in large radio astronomical datasets. These existing…”
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    Conference Proceeding
  13. 13

    Characteristics of Positive Pions Produced in p + C Collisions at 4.2 GeV/c by Khan, Imran, Khan, Sifat Ullah, Zaman, Ali, Ullah, Naseeb

    “…Experimental data from JINR and UrQMD (latest code 3.3p2) model simulations have been used to estimate temperature and other properties of positive pions in…”
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    Journal Article