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  1. Article: Editorial: The role of the gut microbiota on bone mass in health and disease.

    Umar, Sadiq / Cronin, Owen / Tyagi, Abdul Malik

    Frontiers in endocrinology

    2024  Volume 14, Page(s) 1346156

    MeSH term(s) Gastrointestinal Microbiome ; Bone Density
    Language English
    Publishing date 2024-01-05
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2023.1346156
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Editorial: Sex differences and sex steroid effects on musculoskeletal health.

    Tyagi, Abdul Malik / Umar, Sadiq

    Frontiers in endocrinology

    2022  Volume 13, Page(s) 991989

    MeSH term(s) Bone and Bones ; Female ; Gonadal Steroid Hormones ; Humans ; Male ; Sex Characteristics ; Steroids
    Chemical Substances Gonadal Steroid Hormones ; Steroids
    Language English
    Publishing date 2022-09-13
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2022.991989
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: SCS-Net: An efficient and practical approach towards Face Mask Detection.

    Masud, Umar / Siddiqui, Momin / Sadiq, Mohd / Masood, Sarfaraz

    Procedia computer science

    2023  Volume 218, Page(s) 1878–1887

    Abstract: Much work has been done in the computer vision domain for the problem of facial mask detection to curb the spread of the Coronavirus disease (COVID-19). Preventive measures developed using deep learning-based models have got enormous attention. With the ... ...

    Abstract Much work has been done in the computer vision domain for the problem of facial mask detection to curb the spread of the Coronavirus disease (COVID-19). Preventive measures developed using deep learning-based models have got enormous attention. With the state-of-the-art results touching perfect accuracies on various models and datasets, two very practical problems are still not addressed - the deployability of the model in the real world and the crucial cases of incorrectly worn masks. To this end, our method proposes a lightweight deep learning model with just 0.12M parameters having up to 496 times reduction as compared to some of the existing models. Our novel architecture of the deep learning model is designed for practical implications in the real world. We also augment an existing dataset with a large set of incorrectly masked face images leading to a more balanced three-class classification problem. A large collection of 25296 synthetically designed incorrect face mask images are provided. This is the first of its kind of data to be proposed with equal diversity and quantity. The proposed model achieves a competitive accuracy of 95.41% on two class classification and 95.54% on the extended three class classification with minimum number of parameters in comparison. The performance of the proposed system is assessed with various state-of-the-art literature and experimental results indicate that our solution is more realistic and rational than many existing works which use overly massive models unsuitable for practical deployability.
    Language English
    Publishing date 2023-01-31
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2557358-5
    ISSN 1877-0509
    ISSN 1877-0509
    DOI 10.1016/j.procs.2023.01.165
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Synthesis, molecular docking evaluation for LOX and COX-2 inhibition and determination of in-vivo analgesic potentials of aurone derivatives.

    Ikram, Muhammad / Shah, Ismail / Hussain, Haya / Mughal, Ehsan Ullah / Naeem, Nafeesa / Sadiq, Amina / Nazir, Yasir / Ali Shah, Syed Wadood / Zahoor, Muhammad / Ullah, Riaz / Ali, Essam A / Umar, Muhammad Naveed

    Heliyon

    2024  Volume 10, Issue 9, Page(s) e29658

    Abstract: In the current study, seven (7) aurone derivatives (ADs) were synthesized and employed ... ...

    Abstract In the current study, seven (7) aurone derivatives (ADs) were synthesized and employed to
    Language English
    Publishing date 2024-04-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e29658
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Public-Private Sector Mix Approach to Achieving Effective, Efficient and Value-Added TB Programming in Nigeria: Lessons Learned.

    Okekearu, Ifeanyi / Ojeh, Onyinye / Okoineme, Kenneth / Adizue, Jane / Wada, Yusuf H / Adeyemo, Elizabeth / Anyanti, Jennifer / Yola, Abdullahi Musa / Umar, Abubakar Sadiq

    International journal of public health

    2024  Volume 69, Page(s) 1606807

    MeSH term(s) Humans ; Private Sector ; Nigeria ; Tuberculosis/epidemiology ; Tuberculosis/prevention & control ; Delivery of Health Care
    Language English
    Publishing date 2024-02-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2274130-6
    ISSN 1661-8564 ; 1661-8556
    ISSN (online) 1661-8564
    ISSN 1661-8556
    DOI 10.3389/ijph.2024.1606807
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Turning trash into treasure: Torrefaction of mixed waste for improved fuel properties. A case study of metropolitan city.

    Farooq, Muhammad Umar / Sadiq, Khadija / Anis, Mehwish / Hussain, Ghulam / Usman, Muhammad / Fouad, Yasser / Mujtaba, M A / Fayaz, H / Silitonga, A S

    Heliyon

    2024  Volume 10, Issue 7, Page(s) e28980

    Abstract: Solid waste management is one of the biggest challenges of the current era. The combustible fractions in the waste stream turn out to be a good energy source if converted into refuse-derived fuel. Researchers worldwide are successfully converting it into ...

    Abstract Solid waste management is one of the biggest challenges of the current era. The combustible fractions in the waste stream turn out to be a good energy source if converted into refuse-derived fuel. Researchers worldwide are successfully converting it into fuel. However, certain challenges are associated with its application in gasifiers, boilers, etc. to co-fire it with coal. These include high moisture content, low calorific value, and difficulty to transport and store. The present study proposed torrefaction as a pretreatment of the waste by heating it in the range of 200 °C-300 °C in the absence of oxygen at atmospheric pressure. The combustible fraction from the waste stream consisting of wood, textile, paper, carton, and plastics termed as mixed waste was collected and torrefied at 225 °C, 250 °C, 275 °C, and 300 °C for 15 and 30 min each. It was observed that the mass yield and energy yield decreased to 45% and 62.96% respectively, but the energy yield tended to increase by the ratio of 1.39. Proximate analysis showed that the moisture content and volatile matter decreased for torrefied samples, whereas the ash content and fixed carbon content increased. Similarly, the elemental analysis revealed that the carbon content increased around 23% compared to raw samples with torrefaction contrary to hydrogen and oxygen, which decreased. Moreover, the higher heating value (HHV) of the torrefied samples increased around 1.3 times as compared to the raw sample. This pretreatment can serve as an effective solution to the current challenges and enhance refuse-derived fuel's fuel properties.
    Language English
    Publishing date 2024-04-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e28980
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Does female education explain the disparity in the use of antenatal and natal services in Nigeria? Evidence from demographic and health survey data.

    Umar, Abubakar Sadiq

    African health sciences

    2017  Volume 17, Issue 2, Page(s) 391–399

    Abstract: Background: Nigeria is among the countries with a high number of annual maternal deaths partly due to low utilization of maternal health services (MHS).: Objective: This study aimed to explore whether there is an association between women's level of ... ...

    Abstract Background: Nigeria is among the countries with a high number of annual maternal deaths partly due to low utilization of maternal health services (MHS).
    Objective: This study aimed to explore whether there is an association between women's level of education and the appropriate use of antenatal and delivery services.
    Method: A quantitative cross-sectional study was used to analyze the Nigerian Demographic and Health Survey (NDHS) data. Information from 33,385 women aged 15 - 49 years was analyzed using Bivariate Pearson Chi square test and multiple logistic regressions.
    Results: Education is statistically associated with the number of antenatal clinic visits made (AOR = 3.208; CI 2.875 - 3.578; p < .0001) and the place of delivery (AOR = 2.009; CI 1.449 - 2.785; p < .0001) even after controlling for availability of skilled health workers, parity, income, religion, age and distance.
    Conclusion: A long term investment in girls' education will improve income, interaction with health care providers, level of autonomy to seek and pay for appropriate MHS and ultimately use of MHS and positive pregnancy outcomes.
    Language English
    Publishing date 2017-06
    Publishing country Uganda
    Document type Journal Article
    ZDB-ID 2240308-5
    ISSN 1729-0503 ; 1680-6905
    ISSN (online) 1729-0503
    ISSN 1680-6905
    DOI 10.4314/ahs.v17i2.13
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Effect of a Virtual Platform on Undergraduate Students’ Achievements in Horticultural Crop Production in Northern Nigeria

    Bishir Umar Saulawa / Auwal Abdulhamid / Babawuro Shuaibu / Sanusi Hassan / Abubakar Sadiq Garba

    International Journal of Computing Sciences Research, Vol 7, Pp 1560-

    2023  Volume 1577

    Keywords Computer engineering. Computer hardware ; TK7885-7895 ; Information technology ; T58.5-58.64 ; Science ; Q ; Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher STEP Academic Publisher
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Editorial: Design and Synthesis of Metallic Nanoparticles for Targeted Therapy and Diagnostics.

    Umar, Sadiq / Mohamad Ibrahim, Mohamad Nasir / Umar, Khalid / Ahmad, Niyaz

    Frontiers in chemistry

    2020  Volume 8, Page(s) 597800

    Language English
    Publishing date 2020-11-16
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2711776-5
    ISSN 2296-2646
    ISSN 2296-2646
    DOI 10.3389/fchem.2020.597800
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online ; Thesis: Development of high resolution large-eddy simulation tools for assessment of turbulent flux measurements

    Abdul Huq, Sadiq Umar [Verfasser] / Mauder, Matthias [Akademischer Betreuer] / Eiff, Olivier [Akademischer Betreuer] / Raasch, Siegfried [Akademischer Betreuer]

    2024  

    Author's details Sadiq Umar Abdul Huq ; Matthias Mauder, Olivier Eiff, Siegfried Raasch
    Keywords Geowissenschaften ; Earth Sciences
    Subject code sg550
    Language English
    Publisher KIT-Bibliothek
    Publishing place Karlsruhe
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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