Showing 561 - 580 results of 640 for search '"punjab"', query time: 0.04s Refine Results
  1. 561

    Experience of piloting BPaLM/BPaL for DR-TB care at selected sites in Pakistan by M.A. Khan, A. Ismail, A. Ghafoor, N. Khan, N. Muzaffar, F. Zafar, A. Gupta, S. Foraida, S. Juneja, R. Fatima, A.W. Khan, S. Shahid, M.A. Khan

    Published 2024-11-01
    “…METHODS: We conducted a retrospective cohort study to pilot the BPaLM/BPaL regimen at four selected sites in two provinces of Pakistan, i.e. Punjab and Khyber Pakhtunkhwa. Data were extracted and analysed using electronic medical records from the program. …”
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  2. 562
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    A liquid chromatography-high-resolution mass spectrometry method for separation and identification of hemoglobin variant subunits with mass shifts less than 1 Da by Ainslie Chen, Ryan M. Aquino, Hector A. Vidal, Carolyn V. Wong, Ruben Y. Luo

    Published 2025-01-01
    “…Results: Seven heterozygous Hb variant samples (Hb C with α-thalassemia trait, Hb E, Hb D-Punjab, Hb G-Accra, Hb G-Siriraj, Hb Tarrant, and Hb G-Waimanalo) were selected to demonstrate the LC separation of Hb variant and normal subunits with mass shifts of less than 1 Da. …”
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    Operativity of the Taunsa Barrage, Pakistan: Experimental Investigation on the Subsidiary Weir by Muhammad Zahid Ullah, Habib-Ur-Rehman Mughal, Noor Yaseen, Noor Muhammad Khan, Giada Varra, Luca Cozzolino, Renata Della Morte

    Published 2024-12-01
    “…The present study assesses the stilling basin performance of the Taunsa Barrage, a vital water resources infrastructure built in 1958 in Punjab, Pakistan, and rehabilitated between 2004 and 2008 through the construction of a subsidiary weir (SW) downstream of the main weir. …”
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  6. 566

    Relationship between multiple morbidities and performance on the Timed Up and Go test in elderly patients: a cross-sectional study by Arsalan Tariq, Sayed Alireza Mousavi Zadeh, Muhammad Ammar, Nafisehsadat Mousavizadeh, Arash Hajary, Somayeh Mohamadi

    Published 2025-01-01
    “…Objective To investigate how various morbidities affect older patients’ performance on the Timed Up and Go (TUG) test.Design Cross-sectional study.Setting The seven government hospitals of Lahore, Pakistan, included are major tertiary care centres, representing an older patient population of Punjab, Pakistan.Method 160 elderly participants completed the TUG test, frailty evaluations and Charlson Comorbidity Index (CCI) scoring to assess mobility, frailty and comorbidity burden. …”
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  7. 567

    Association of sleep duration with overweight and obesity among school-aged children and adolescents in Pakistan—An empirical cross-sectional study by Moazzam Tanveer, Alexios Batrakoulis, Ejaz Asghar, Andreas Hohmann, Serge Brand, Matheus S. de Sousa Fernandes, Luca P. Ardigò, Georgian Badicu

    Published 2025-01-01
    “…Materials and Methods: A population-based cross-sectional study enrolled 4108 participants from 62 schools across randomly selected districts in central Punjab province. Overweight and obesity were determined using WHO references. …”
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  8. 568

    Quantifying sustainable urbanization by predictive modeling for better agricultural management: A case study in the South Asiatic Region by Kashif Ali, Jawad Ali Shah, Saif Ullah, Syed Turab Raza

    Published 2025-01-01
    “…Land use and land cover (LULC) classification maps for 2002–2022 were analyzed using remote sensing (RS) and geographic information systems (GIS) in Sahiwal, Punjab, Pakistan. Idrisi's Cellular Automata (CA)–Markov model was used to predict future scenarios. …”
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    Trends and determinants of obesity among ever-married women aged 15–49 in India: insights from National Family Health Surveys (NFHS 1998–2021) by Aditya Singh, Sadanand Karun, Mahashweta Chakrabarty, Rakesh Chandra, Shivani Singh

    Published 2025-02-01
    “…Presently, two prominent regions in the country exhibit high obesity rates: the southern region, including Tamil Nadu (29%), Kerala (25%), Goa (25%), and Andhra Pradesh (23%), and the northwestern region, encompassing Delhi (33%), Punjab (31%), and Haryana (24%). Moreover, the disparity in obesity rates across states has widened over time, with states initially showing higher rates experiencing a faster growth rate compared to those with lower initial rates, as highlighted by the β- and σ-convergence analyses. …”
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