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    Predicting Future Surface Runoff Delivered to the Euphrates River Using LARSWG and SWAT Models: (Sahiliya Valley in the Iraqi Western    Desert as a Case Study) by Wisam Abdulabbas Abidalla, Basim Sh. Abed

    Published 2025-02-01
    “… The Weather Generation Model “LARSWG” and hydrological Model “SWAT” used in this study to estimate the quantity of future surface runoff in the Sahiliya Valley located within the Iraqi western desert. The weather data for the last ten years used as input in the LARSWG model to generate future weather data under the effect of climate change. …”
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    ÜNİVERSİTE ÖĞRENCİLERİNİN CEP TELEFONU KULLANIMINA KARŞI GENEL TUTUMLARI VE BU TUTUMLARIN, KULLANIMA YANSIMALARINA YÖNELİK AKSARAY ÜNİVERSİTESİ’NDE BİR ARAŞTIRMA by Eyüp Akın, Sevilay Uslu Di̇vanoğlu

    Published 2009-06-01
    “…Son 5 yıllık dönemde ülkemizde cep telefonu kullanımındaki artış hızı dünyadaki artış hızını geçmiş ve ülkemizdeki kullanım oranı %80’in üzerinde bir düzeye gelmiştir. Bu yaygınlığa rağmen kullanıma karşı genel tutumun farklı olabileceği düşüncesi ile üniversite gençliği örnek kitle kabul edilerek bu çalışma gerçekleştirilmiştir. …”
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    A Retrospective Analysis of Thymoma: Clinical Radiological Pathological Features and Treatment Modalities – Insights from a Tertiary Care Center by A. Vasudevan, Keerthi Prakash, Ajay Narasimhan, R. Sridhar, R. Narasimhan, C Ganapathy Arumugam

    Published 2025-01-01
    “…The majority of participants with paraneoplastic syndromes (71.4%) had myasthenia gravis (MG). Among the 39 operated patients, 3 (7.6%) had robotic surgery, and the recovery (7 days) was faster than conventional surgery. …”
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    A Study on the Role of LPA and ATX in Breast Cancer in Iraq by Anfal Akeel Taha, Hind Salman Jassim, Wafaa Fadhil Hamad

    Published 2025-01-01
    “…This study investigates the roles of lysophosphatidic acid (LPA) and autotaxin (ATX) in the early diagnosis of breast cancer among Iraqi women. A case-control study was conducted involving 75 women diagnosed with breast cancer and 75 healthy controls. …”
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    Integration of field data and application of machine learning methods to assess the condition of the near-wellbore zone of carbonate reservoirs by Andrey V. Soromotin, Dmitriy A. Martyushev

    Published 2025-01-01
    “…This paper proposes an approach for quickly assessing the permeability of the near-wellbore zone, based on a statistical analysis of the results of interpretation of hydrodynamic studies (256 studies) and operational data from wells of an oil carbonate reservoir in the Perm Krai. …”
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