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Showing 1 - 20 results of 153 for search '(( significant ((nn decrease) OR (mean decrease)) ) OR ( significant variations time ))', query time: 0.11s Refine Results
  1. 1

    Is there a diurnal variation of COVID-19 patients warranting presentation to the health centre? A chronobiological observational cross-sectional study by Mohamed Romdhani (9606357)

    Published 2022
    “…The following demographic (i.e. time of day (TOD), sex, age), clinical (i.e. cycle threshold (CT), temperature, oxy-haemoglobin saturation and resting heart-rate), biochemical (i.e. uraemia, glycaemia and albuminia) and haematological (i.e. leukocytes, erythrocytes ad platelets) parameters were collected. …”
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    VEGAWES: variational segmentation on whole exome sequencing for copy number detection by Samreen Anjum (19651882)

    Published 2015
    “…<p dir="ltr">Copy number variations are important in the detection and progression of significant tumors and diseases. …”
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    Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection by ALATTAR, FUAD ABDELWAHAB ABDELQADER

    Published 2021
    “…This thesis contributes to the very few studies that took one step ahead by developing novel models to understand what causes sentiment changes over time. Obviously, identifying main reasons for public reactions is valuable to decision-makers so that they can take necessary actions in a timely manner. …”
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    Convexity and the Euclidean Metric of Space-Time by Nikolaos Kalogeropoulos (9416607)

    Published 2017
    “…The metric of space-time is induced by the inner product of such Hilbert spaces.…”
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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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    Randomized Deep Hopfield Network with Multiple Output Layers for Volatility Time Series Forecasting by Aryan Bhambu (18767731)

    Published 2025
    “…However, the inherent complexity and irregular variations in volatility time series data present significant challenges for accurate modeling. …”
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    The effect of graphene structural integrity on the power factor of tin selenide nanocomposite by Manal Alsalama (17316895)

    Published 2021
    “…<p dir="ltr">Tin selenide graphene nanocomposites (SnSe/GNPs) were fabricated with high-energy ball milling and hot pressing by varying the milling time of graphene. The effect of ball milling time on the graphene integrity and the dispersion homogeneity was investigated and the consequential variation in electrical properties of SnSe/GNPs were analyzed. …”
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    Charge carrier mobility in hybrid halide perovskites by Carlo Motta (2884388)

    Published 2015
    “…<p dir="ltr">The charge transport properties of hybrid halide perovskites are investigated with a combination of density functional theory including van der Waals interaction and the Boltzmann theory for diffusive transport in the relaxation time approximation. We find the mobility of electrons to be in the range 5–10 cm<sup>2</sup>V−<sup>1</sup>s−<sup>1</sup> and that for holes within 1–5 cm<sup>2</sup>V−<sup>1</sup>s−<sup>1</sup>, where the variations depend on the crystal structure investigated and the level of doping. …”
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    A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout by Arash Golabi (21841484)

    Published 2025
    “…The proposed approach transforms time-series side-channel data- including power consumption, electromagnetic emissions, and timing information-into two distinct image-based representations using Markov Transition Fields (MTF) and a reshaping technique. …”
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    The distribution of Blastocystis subtypes in isolates from Qatar by Marawan Abu-Madi (2816869)

    Published 2015
    “…Both ST1 and ST3 showed significant differences in prevalence between the sexes. …”
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    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions by Yinsong Chen (16685508)

    Published 2022
    “…Decomposition-based hybrid models have gained significant popularity in recent years. These methods generally disaggregate the original time series data into sub-time-series with better stationarity, and then the target data is predicted based on the sub-series. …”
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    Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation by Rawan AlSaad (14159019)

    Published 2024
    “…Furthermore, the time gaps between patient visits often encapsulate significant domain knowledge, potentially revealing undiscovered patterns that characterize specific medical conditions. …”
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    Transfer function analysis between arterial pressure and renal sympathetic nerve activity at cardiac pacing frequencies in the rat by Kanbar, Roy

    Published 2007
    “…Cardiac pacing slightly increased mean AP (0.8 ± 0.2 mmHg/Hz) and decreased pulse pressure (−3.6 ± 0.3 mmHg/Hz) while leaving the mean level of RSNA essentially unaltered (P = 0.680, repeated-measures ANOVA). …”
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    A Multidecadal Assessment of Haze Development and Fluctuations in Visibility for Arabian Peninsula by Luqman Atique (16036586)

    Published 2024
    “…The daily visibility of QTR exhibits significant variations from 1975 to 2023, with the lowest and greatest values representing the dynamic character of visibility in the region. …”
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    Hyper-Hypo study: A Retrospective Observational Study of Neonatal Hypoglycemia Related to Maternal Hypertension by Thiruveni Ramkumar (17075051)

    Published 2023
    “…On the other hand, neonates of hypertensive mothers administered with methyldopa showed a significant decrease of initial blood glucose reading.…”