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significant i » significance _ (Expand Search)
i regression » _ progression (Expand Search), la repression (Expand Search), _ depression (Expand Search)
decrease » increase (Expand Search)
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
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Herpes simplex virus type 1 epidemiology in the Middle East and North Africa: systematic review, meta-analyses, and meta-regressions
Published 2019“…Random-effects meta-analyses were implemented to estimate pooled mean HSV-1 seroprevalence. Random-effects meta-regressions were conducted to identify predictors of higher seroprevalence. …”
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Ensemble Deep Random Vector Functional Link Neural Network for Regression
Published 2022“…Subsequently, we propose a novel regularization method [boosted factor (BF)], two dRVFLs variants [edRVFL with skip connection (edRVFL-SC) and edRVFL with random skip connections (edRVFL-RSC)] and one strategy [ensemble skip connection edRVFL (esc-edRVFL)] which show significant improvement over the original dRVFL. …”
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I-CLIP
Published 2011“…Results: IGF-1 significantly correlated with the clinicopathologic features. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…In this regard, engineering of brighter bioluminescent proteins, i.e. luciferases, has played a significant role. This is acutely exemplified by the engineering of the NLuc <u>luciferase</u>, which is small in size and displays much enhanced bioluminescence and<u> thermal stability</u> compared to previously available luciferases. …”
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Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis
Published 2019“…<p>The modification by polymers and nanomaterials can significantly improve different properties of asphalt. …”
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Data-driven discovery of Tsallis-like distribution using symbolic regression in high-energy physics
Published 2024“…<p dir="ltr">The application of atificial intelligence (AI) in fundamental physics has faced limitations due to its inherently uninterpretable nature, which is less conducive to solving physical problems where natural phenomena are expressed in human-understandable language, i.e. mathematical equations. Fortunately, there exists a form of interpretable AI that aligns seamlessly with this requirement, namely, symbolic regression (SR), which learns mathematical equations directly from data. …”
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Small molecule inhibition of stat3 enhances survival in mice with intracerebral melanoma
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Estimating hydrogen absorption energy on different metal hydrides using Gaussian process regression approach
Published 2022“…<p dir="ltr">Hydrogen is a promising alternative energy source due to its significantly high energy density. Also, hydrogen can be transformed into electricity in energy systems such as fuel cells. …”
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The epidemiology of hepatitis C virus in Central Asia: Systematic review, meta-analyses, and meta-regression analyses
Published 2019“…Across CA, the pooled mean prevalence was 13.5% (95%CI: 10.9–16.4%) among non-specific clinical populations, 31.6% (95%CI: 25.8–37.7%) among populations with liver-related conditions, and 51.3% (95%CI: 46.9–55.6%) among people who inject drugs. Genotypes 1 (52.6%) and 3 (38.0%) were most frequent. Evidence was found for statistically-significant differences in prevalence by country, but not for a temporal decline in prevalence. …”
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Prevalence and clinical significance of antiphospholipid antibodies in patients with coronavirus disease 2019 admitted to intensive care units: a prospective observational study
Published 2022“…Although the presence of antiphospholipid antibodies (aPLs) has been proposed as a possible mechanism of COVID-19-induced coagulopathy, its clinical significance remains uncertain. Therefore, this study aimed to evaluate the prevalence and clinical significance of aPLs among critically ill patients with COVID-19. …”
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Suppression of Unstable Flow by Using Rough Surfaces at Small Mass Flow Rates in a Radial Diffuser
Published 2006Get full text
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Impacts of climate change on the global spread and habitat suitability of <i>Coxiella burnetii</i>: Future projections and public health implications
Published 2025“…<h3>Introduction</h3><p dir="ltr"><i><u>Coxiella burnetii</u></i><i><u>,</u></i> an intracellular zoonotic bacterium, affectsing various livestock and <u>wildlife</u> species and poses significant risks to human health. …”
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Modelling the utilization rates of pedestrian crosswalks
Published 2023“…A zebra crossing is a form of pedestrian crossing provision point on roads that have significant volumes of traffic. It is one of the safety measures employed to reduce avoidable pedestrian-motorist conflicts and accidents on such roads. …”
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The effect of microbiome-modulating therapeutics on glucose homeostasis in metabolic syndrome: A systematic review, meta-analysis, and meta-regression of clinical trials
Published 2024“…We pooled data using random effects meta-analyses, reporting them as mean differences (MDs) with 95 % confidence intervals (CIs), and conducting univariate linear model meta-regressions. </p><h3>Results</h3><p dir="ltr">Data from 21 trial comparisons across 19 studies (n = 911) revealed that, compared to placebo/control, microbiome-modulating therapies were associated with statistically significant changes in fasting <u>plasma glucose</u> (MD: 4.03 mg/dL [95%CI: 6.93; −1.13]; p<sub>effect</sub> = 0.006, I<sup>2</sup> = 89.8 %), and fasting insulin (MD: 2.56 μU/mL [95%CI: 4.28; −0.84]; p<sub>effect</sub> = 0.004, I<sup>2</sup> = 87.9 %), but not insulin resistance or sensitivity indices and <u>HbA1c</u>. …”
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Geospatial modelling of seasonal water and electricity consumption in Doha's residential buildings using multiscale geographically weighted regression (MGWR) and Bootstrap analysis
Published 2024“…For this purpose, we employed statistical analysis (i.e. Pearson correlation and Bootstrap analysis) and advanced geostatistical models, including Geographically Weighted Regression (GWR) and Multiscale Geographically Weighted Regression (MGWR), to analyze and monitor the spatial and seasonal variations of water and electricity consumption. …”