Showing 401 - 420 results of 716 for search 'mariachi~', query time: 2.46s Refine Results
  1. 401

    Heat Stroke in the Era of Global Warming: A Call for Urgent Action by Ayesha Khan, Manahil Mubeen

    Published 2025-01-01
    “…In 2024, extreme heat waves led to increased cases of HS and related fatalities globally, particularly in Karachi, Pakistan. This article reviews the pathophysiology, effects, treatment, and preventive strategies of HS management. …”
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    Investigating the Implications of COVID-19 on PM2.5 in Pakistan by Hassaan Sipra, Faheem Aslam, Jabir Hussain Syed, Tahir Mumtaz Awan

    Published 2020-10-01
    “…To assess the impact of COVID-19 on the hourly concentrations of particular matter < 2.5 microns (PM2.5) in Lahore and Karachi, Pakistan, this study employs multifractal analysis. …”
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  16. 416

    Type and physical intensity of occupations at pulmonary TB diagnosis by M. Saroufim, C. Geric, A. Majidulla, A. Abjani, G. Tavaziva, S. Saeed, A.J. Khan, F. Ahmad Khan

    Published 2025-01-01
    “…We sought to characterise the occupations of people newly diagnosed with PTB in Karachi, Pakistan, by type and physical intensity. …”
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    Wanneer 'n teks tekste aanhaal. Maleagi 1:6-14 as voorbeeld by S. D. Snyman

    Published 2008-12-01
    “… The problem posed in this article is a fairly straightforward one: Do Pentateuch traditions occur in Malachi 1:6-14 and if so, how are they used? The problem is approached by searching for quotations, shared terminology, inversions and common themes that occur in both the Pentateuch and Malachi. …”
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    Synergy of Remote Sensing and Geospatial Technologies to Advance Sustainable Development Goals for Future Coastal Urbanization and Environmental Challenges in a Riverine Megacity by Minza Mumtaz, Syed Humayoun Jahanzaib, Waqar Hussain, Sadia Khan, Youssef M. Youssef, Saleh Qaysi, Abdalla Abdelnabi, Nassir Alarifi, Mahmoud E. Abd-Elmaboud

    Published 2025-01-01
    “…This study addresses this gap through an innovative integration of multitemporal Landsat imagery (5, 7, and 8), SRTM-DEM, historical land use maps, and population data using the MOLUSCE plugin with cellular automata–artificial neural networks (CA-ANN) modelling to monitor LULC changes over three decades (1990–2020) and project future changes for 2025, 2030, and 2035, supporting the Sustainable Development Goals (SDGs) in Karachi, southern Pakistan, one of the world’s most populous megacities. …”
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