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  1. 1

    Genetic Basis and Prognostic Value of Exercise QT Dynamics by Stefan van Duijvenboden (7116386)

    Published 2020
    “…<h3>Background</h3><p dir="ltr">Abnormal QT interval responses to heart rate (QT dynamics) is an independent risk predictor for cardiovascular disease in patients, but its genetic basis and prognostic value in a population-based cohort have not been investigated.…”
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    Treating Cancers Using Nature’s Medicine: Significance and Challenges by Samson Samuel (6828956)

    Published 2021
    “…With the advent of science-based ‘modern’ medicine, plant-based natural remedies for treating ailments came under intense scrutiny for their lack of scientific basis [1]. …”
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    Optimizing the number of players and training bout durations in soccer small‐sided games: Effects on mood balance and technical performance by Zouhaier Farhani (22330693)

    Published 2025
    “…Therefore, coaches should consider longer continuous bouts when planning SSGs‐based training to significantly decrease TMD and enhance technical‐tactical performance in soccer SSGs.…”
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    Risk Factors for Post-Cesarean, Surgical Site Infections in a Multi-Ethnic Population of Qatar by Sufia Athar (14777830)

    Published 2024
    “…SSIs with multiple drug-resistant organisms were significantly high. Physicians should give special attention to modifiable risk factors and antibiotic stewardship to decrease the risk of SSI and improve patient outcomes.…”
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    Regional variations in incidence of surgical site infection and associated risk factors in women undergoing cesarean section: A systematic review and Meta-Analysis by Nazmul, Islam

    Published 2025
    “…Meta-regression showed a significant decrease in SSI incidence in HICs. Maternal factors, procedural aspects, and care quality were associated with SSI. …”
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    Indomethacin as a Rescue Therapy for Patent Ductus Arteriosus in Extremely Premature Infants after Failed Ibuprofen Treatment by Amal Sabouni (17046236)

    Published 2023
    “…<p dir="ltr">Hemodynamically significant patent ductus arteriosus (hsPDA) is a major cause of neonatal morbidity and mortality in extremely low birth weight (ELBW) infants. …”
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    Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

    Published 2021
    “…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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    The distribution of toxic sources in Louisiana by Djoundourian, Salpie Sarkis

    Published 1993
    “…The results reveal that income levels in communities that host toxic sources are consistently and significantly lower than the state averages. A distance gradient analysis indicates that as distance from the nearest toxic source increases, the mean percentage of blacks in the community decreases and the mean percentage of whites increases. …”
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    Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches by ALHAJERI, RASHED ABDULLA

    Published 2018
    “…Adaptive periodic based manual cleaning approach where a changing cleaning period is fixed for each season based on significant variations of seasonal averages from the performance based manual cleaning approach, taken as 1 standard deviation from the season average. 3. …”
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    Investigate stakeholders’ perceptions of best practices of STEM education in the United Arab Emirates by MALAKA, SAWSAN

    Published 2018
    “…The data from this study in the UAE revealed that STEM practices are not common and require significant instruction for implementation. The recommendations of this study form a basis for establishing an effective STEM model in the UAE.…”
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    Employee Motivation and Job Satisfaction in Project-based Organization: The case of the UAE by Thomas, Glen George

    Published 2011
    “…All the organization’s need to focus on employee satisfaction and keep the worker motivated. In case of project based organizations, the subject acquires greater significance as the projects have various constraints and require quality manpower and effort on the part of employees. …”
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    Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

    Published 2020
    “…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
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    article
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    U-model Based Adaptive Tracking Scheme for Unknown MIMO Bilinear Systems by Azhar, A.S.S.

    Published 2006
    “…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on radial basis functions neural networks which is known for mapping any nonlinear function. …”
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    U-Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

    Published 2020
    “…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
    Get full text
    article
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    U-Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

    Published 2020
    “…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
    Get full text
    article
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    U-Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

    Published 2020
    “…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
    Get full text
    article