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    Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

    Published 2017
    “…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”
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    Research on the potential of photovoltaic technologies in reducing energy consumption in an urban mixed use residential community. A Case study for net zero energy community in Dub... by SUGATHAN, SANAL

    Published 2018
    “…Therefore, the key challenge is to reduce the consumption of fossil fuels which decreases the production of greenhouse gases such as CO2 and CH4 by using renewable energy technologies to provide clean carbon free energy that can combat future energy security challenges. …”
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    Applying Energy Efficiency Strategies to Reduce Energy Consumption in Mosques. by WAHEED ADDIN IBRAHIM ALMASRI

    Published 2024
    “…Simulations indicate that these strategies can significantly reduce energy consumption without compromising the thermal comfort of worshippers. …”
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    A Study on Reducing Heat Gains through the use of Green Envelope by Alabadla, Mania

    Published 2013
    “…The usage of green roof and living walls in high rise building reduced the cooling loads by 24.35% comparing to the base case. …”
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    PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks by Rawan AlSaad (14159019)

    Published 2022
    “…We also present a case-study of our model’s interpretability illustrating how clinicians can gain some transparency into the predictions.…”
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    Growth hormone treatment modulates active ghrelin levels in rats by Haddad, Haytham

    Published 2014
    “…Genotropin treatment caused a dose dependent decrease in active ghrelin concentration in stomach, kidney and pancreas with a concomitant increase in plasma, and reaching significance at 20 and 100 µg/rat/day doses. …”
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    Predicting stability of classes in an object-oriented system by Azar, D.

    Published 2010
    “…Many metrics have been proposed to assess these software attributes and for this purpose, prediction models have been widely used. However, in almost all cases, these models were not efficient when used to predict the quality characteristics (stability or other) of new unseen software as their prediction accuracy decreases significantly. …”
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    Inverse Model Predictive Control for Power Electronic Converters by Ali Sharida (17947847)

    Published 2024
    “…Unlike classical MPC, the computational time required for IMPC is significantly reduced which makes it easily applicable to all types and levels of power electronics converters. …”
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    Role of nutritional indices in predicting outcomes of vascular surgery by Jabbour, Jana

    Published 2019
    “…We aimed to assess the combined use of recent significant weight loss (>10% body mass) and serum albumin levels as a nutritional status index to predict outcomes. …”
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    Reducing Caesarean Rates in Qatar: A Pressing Public Health Imperative – Policy adjustments in Labour Inductions. by Morounfolu Thompson (17045472)

    Published 2024
    “…Maternal and neonatal morbidity did not increase compared to baseline unit data, and 50% of the women achieved a vaginal delivery, reducing the number of Caesarean sections.</p><h3>Conclusion</h3><p dir="ltr">The use of a second cycle of vaginal Prostaglandin E2 (PGE2 ) for induction of labour was effective and safe as reflected by the absence of birth asphyxia, and low rates of comparable times to delivery without significant complications (Figure 2). …”
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    Reduced HDL-cholesterol in long COVID-19: A key metabolic risk factor tied to disease severity by Jamila, Al-Zadjali

    Published 2024
    “…Findings indicated significant metabolic shifts in severe Long-COVID-19 cases, mainly a marked drop in HDL-C levels and a doubled increase in ferritin levels and insulin resistance compared to the mild cases and controls. …”
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    Hybrid sorption thermal–battery storage in photovoltaic greenhouses: Toward net-zero energy and reduced battery stress by Mohammadreza Gholami (17032317)

    Published 2026
    “…Results show that the hybrid system can reduce annual ED by 19.2% compared to the STPV-only case (with 12.8% attributed to SoTES and 6.4% to BESS). …”
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    Transfer learning for genotype–phenotype prediction using deep learning models by Feng, Samuel

    Published 2022
    “…This manuscript illustrated that transfer learning is applicable for genotype data and genotype-phenotype prediction. Results Using HAPGEN2 and PhenotypeSimulator, we generated eight phenotypes for 500 cases/500 controls (CEU, large population) and 100 cases/100 controls (YRI, small populations). …”
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