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  1. Article: The burden of cardiovascular disease in South Asia: the need for effective treatment.

    Usman, Immad Muhammad

    JPMA. The Journal of the Pakistan Medical Association

    2023  Volume 73, Issue 12, Page(s) 2536

    MeSH term(s) Humans ; Cardiovascular Diseases/epidemiology ; Cardiovascular Diseases/therapy ; Asia, Southern ; Risk Factors ; Treatment Outcome
    Language English
    Publishing date 2023-12-11
    Publishing country Pakistan
    Document type Journal Article
    ZDB-ID 603873-6
    ISSN 0030-9982
    ISSN 0030-9982
    DOI 10.47391/JPMA.10017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Recent Progress of SAPO-34 Zeolite Membranes for CO

    Usman, Muhammad

    Membranes

    2022  Volume 12, Issue 5

    Abstract: In the zeolite family, the silicoaluminophosphate (SAPO)-34 zeolite has a unique chemical structure, distinctive pore size, adsorption characteristics, as well as chemical and thermal stability, and recently, has attracted much research attention. ... ...

    Abstract In the zeolite family, the silicoaluminophosphate (SAPO)-34 zeolite has a unique chemical structure, distinctive pore size, adsorption characteristics, as well as chemical and thermal stability, and recently, has attracted much research attention. Increasing global carbon dioxide (CO
    Language English
    Publishing date 2022-05-10
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2614641-1
    ISSN 2077-0375
    ISSN 2077-0375
    DOI 10.3390/membranes12050507
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Pakistan needs an equitable investment in the health system and collaborative efforts.

    Farooq, Muhammad / Usman, Muhammad

    The Lancet. Global health

    2023  Volume 11, Issue 2, Page(s) e177–e178

    MeSH term(s) Humans ; Pakistan ; Delivery of Health Care ; Investments
    Language English
    Publishing date 2023-01-19
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 2723488-5
    ISSN 2214-109X ; 2214-109X
    ISSN (online) 2214-109X
    ISSN 2214-109X
    DOI 10.1016/S2214-109X(22)00523-X
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Efficacy of multiple Biomarkers: NGAL, KIM1, Cystatin C and IL18 in predicting pregnancy related acute kidney injury.

    Aamir, Muhammad Usman

    Pakistan journal of medical sciences

    2023  Volume 39, Issue 2, Page(s) 628

    Language English
    Publishing date 2023-01-14
    Publishing country Pakistan
    Document type Journal Article
    ZDB-ID 2032827-8
    ISSN 1681-715X ; 1682-024X ; 1017-4699
    ISSN (online) 1681-715X
    ISSN 1682-024X ; 1017-4699
    DOI 10.12669/pjms.39.2.7494
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Vestibular Rehabilitation Exercises Should Be An Effective First-Line Treatment Instead Of Medications In Pakistan For Benign Paroxysmal Positional Vertigo.

    Khan, Muhammad Hamza / Farooq, Zainab / Muhammad, Usman Fazal / Khan, Muhammad Anan

    Journal of Ayub Medical College, Abbottabad : JAMC

    2024  Volume 35, Issue 3, Page(s) 515–516

    MeSH term(s) Humans ; Benign Paroxysmal Positional Vertigo/rehabilitation ; Pakistan ; Exercise Therapy
    Language English
    Publishing date 2024-02-25
    Publishing country Pakistan
    Document type Journal Article
    ZDB-ID 2192473-9
    ISSN 1819-2718 ; 1025-9589
    ISSN (online) 1819-2718
    ISSN 1025-9589
    DOI 10.55519/JAMC-03-12140
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: UAV sensor failures dataset: Biomisa arducopter sensory critique (BASiC).

    Ahmad, Muhammad Waqas / Akram, Muhammad Usman

    Data in brief

    2024  Volume 52, Page(s) 110069

    Abstract: Unmanned aerial vehicles (UAV) rely on a variety of sensors to perceive and navigate their airborne environment with precision. The autopilot software interprets this sensory data, acting as the control mechanism for autonomous flights. As UAVs are ... ...

    Abstract Unmanned aerial vehicles (UAV) rely on a variety of sensors to perceive and navigate their airborne environment with precision. The autopilot software interprets this sensory data, acting as the control mechanism for autonomous flights. As UAVs are exposed to physical environment, they are vulnerable to potential impairments in their sensory mechanism. Their real-time interactions with the actual atmosphere make them susceptible to cyber exploitations as well, where sensory data alterations through counterfeit wireless signals pose a significant threat. In this context, sensor failures can result into unsafe flight conditions, as the fault handling logic may fail to anticipate the context of the issue, allowing autopilot to execute operations without necessary adjustments. Untimely control of sensor failures can result in mid-air collisions or crashes. To address these challenges, we created Biomisa Arducopter Sensory Critique (BASiC) dataset, a state-of-the-art resource for UAV sensor failure analysis. The BASiC dataset comprises 70 autonomous flight data, spanning over 7 hours. It encompasses 3+ hours of (each) pre-failure and post-failure data, along with 1+ hour of no-failure data. We selected the ArduPilot platform as our demonstration aerial vehicle to conduct the experiments. By engineering Software in the Loop (SITL) parameters, we effectively executed sensor failure test simulations. Our dataset incorporates six representative sensors failures which are critical to UAV operations: global positioning system (GPS) for precise aerial positioning, remote control for communication with the ground control station (GCS), accelerometer for measuring linear acceleration, gyroscope for rotational acceleration measurement, compass providing heading information, and barometer for maintaining flight height based on atmospheric pressure data. The availability of the BASiC dataset will benefit the research community, empowering researchers to explore and experiment with state-of-the-art deep learning models by tailoring them for time series signal analysis. It may also contribute in enhancing the safety and reliability of mission-critical autonomous UAV flights.
    Language English
    Publishing date 2024-01-15
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409 ; 2352-3409
    ISSN (online) 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2024.110069
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Connection-Based Zagreb Indices of Polycyclic Aromatic Hydrocarbons Structures.

    Usman, Muhammad / Javaid, Muhammad

    Current organic synthesis

    2023  

    Abstract: Background: Topological indices (TIs) are mathematical formulas that are applied in mathematical chemistry to predict the physical and chemical properties of various chemical structures. In this study, three different types of polycyclic aromatic ... ...

    Abstract Background: Topological indices (TIs) are mathematical formulas that are applied in mathematical chemistry to predict the physical and chemical properties of various chemical structures. In this study, three different types of polycyclic aromatic hydrocarbon structures (PAHs) (i.e., Hexa-peri-hexabenzocoronene, Dodeca-benzo-circumcoronene, and Hexa-cata- hexabenzocoronene) are studied with the help of the different connection number-based Zagreb indices.
    Method: ϑ = (V(ϑ),E(ϑ)) is used as a graph, where V(ϑ) is a collection of vertices and E(ϑ) is a collection of edges. For a vertex y, ∈V(ϑ), the degree d_ϑ (y), is the number of those vertices that are at a distance of 1 from y and the connection number ρ_ϑ (y) is the number of such vertices that are at a distance of 2 from vertex y.
    Results: Theoretical applications of topological indices were described in detail.
    Conclusion: Finally, we obtained the first and second Zagreb connections as well as the modified first, second, third, and fourth Zagreb connection indices, which were calculated for three different types (Hexa-peri-hexabenzocorone, Dodeca-benzo-circumcoronene, and Hexa-cata-hexabenzocoronene) of polycyclic aromatic hydrocarbon structures.
    Language English
    Publishing date 2023-08-23
    Publishing country United Arab Emirates
    Document type Journal Article
    ISSN 1570-1794
    ISSN 1570-1794
    DOI 10.2174/1570179421666230823141758
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Improved Treatment For Diabetes Type 2 Associated Heart Failure.

    Alamgir, Muhammad Usman

    JPMA. The Journal of the Pakistan Medical Association

    2023  Volume 73, Issue 9, Page(s) 1934–1935

    MeSH term(s) Humans ; Diabetes Mellitus, Type 2/complications ; Hypoglycemic Agents/therapeutic use ; Heart Failure/etiology ; Heart Failure/therapy
    Chemical Substances Hypoglycemic Agents
    Language English
    Publishing date 2023-10-30
    Publishing country Pakistan
    Document type Journal Article
    ZDB-ID 603873-6
    ISSN 0030-9982
    ISSN 0030-9982
    DOI 10.47391/JPMA.8085
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Exploring nature's filters: Peat-mineral mix for low and high-strength oilfield produced water reclamation.

    Arslan, Muhammad / Usman, Muhammad / Gamal El-Din, Mohamed

    Water research

    2024  Volume 255, Page(s) 121502

    Abstract: Nature-based solutions are encouraged for treating oilfield produced water from oil and gas extraction, a crucial undertaking that aligns with the Canadian oil sands industry's ambitious goal of zero waste, and the globally recognized Sustainable ... ...

    Abstract Nature-based solutions are encouraged for treating oilfield produced water from oil and gas extraction, a crucial undertaking that aligns with the Canadian oil sands industry's ambitious goal of zero waste, and the globally recognized Sustainable Development Goals (SDGs) pertaining to water conservation and ecosystem preservation. This study explored the use of peat-mineral mix (PMM), a leftover of inevitable oil sands mining, for treating low and high-strength wastewaters during biofiltration, which contained large molecular weight (44.3 kDa), which include alcohols, aliphatics, aromatics, and ketones, and can impart high toxicity to both fauna and flora (MicroTox: 99 %). The breakthrough curve indicated an effective initial adsorption phase driven by advection within the column dynamics. For complete organics removal and mechanistic insights, the wastewater was re-circulated in a continuous mode for up to 42 days. Here, we found that chemical oxygen demand was reduced from ∼85,000 mg/L to ∼965 mg/L). Kinetics investigations along with physicochemical characterization of PMM and wastewater suggested that chemisorption and anaerobic digestion contributed to the overall removal of contaminants. Chemisorption, led by hydrogen bonding and hydrophobic interactions, was the dominant mechanism, with a limited contribution from physical adsorption (surface area: 2.85 m2/g). The microbial community within the PMM bed was rich/diverse (Shannon > 6.0; Chao1 > 600), with ∼ 50 % unclassified phylotypes representing 'microbial dark matter'. High electric conductivity (332.1 μS cm
    Language English
    Publishing date 2024-03-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 202613-2
    ISSN 1879-2448 ; 0043-1354
    ISSN (online) 1879-2448
    ISSN 0043-1354
    DOI 10.1016/j.watres.2024.121502
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Towards universal health coverage in Pakistan: Challenges ahead.

    Farooq, Muhammad / Arshad, Muhammad Imran / Usman, Muhammad

    The Lancet regional health. Southeast Asia

    2022  Volume 1, Page(s) 100003

    Language English
    Publishing date 2022-05-05
    Publishing country England
    Document type Journal Article
    ISSN 2772-3682
    ISSN (online) 2772-3682
    DOI 10.1016/j.lansea.2022.03.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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