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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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The effectiveness of physical models in teaching anatomy
Published 2016“…The aim of this meta-analysis is to quantitatively assess the effectiveness of such models based on comparative studies. …”
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Detection of statistically significant network changes in complex biological networks
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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Contagion effects in a chartist–fundamentalist model with time delays
Published 2007“…In this paper two models of speculative markets are developed to study the effects of feedback mechanisms in financial markets. …”
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Non-Newtonian Effects in a Fluid-Structure Interaction Model for Atherosclerosis
Published 2009“…The simulations show that the Newtonian model significantly overestimates the recirculations in comparison with the non-Newtonian model. …”
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Effects of Dunn and Dunn learning styles model on achievement and motivation. (c2013)
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Staff Development: A Study Into The Significance of Staff Professional Development Programs for Educators and Students Achievement
Published 2011“…The concept of staff professional development and its effectiveness has been a key area of discussion for long. …”
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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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Potential Therapeutic Effects of Lebanese Cannabis oil in Female Mouse Models of Neuropsychiatric Disorders
Published 2022“…Accordingly, the current research study examined the therapeutic effects of Cannabis oil extracted from the Lebanese Cannabis sativa plant on resilience to stress and its ability to rescue depression and anxiety-like behaviors in female animal models. …”
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Stability and bifurcation analysis of a discrete-time predator-prey model with strong Allee effect
Published 2020“…In this paper, we investigate the impact of Allee effect on the stability of a discrete-time predator-prey model with a non-monotonic functional response. …”
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How effective are synthetic attack models to detect real-world energy theft?
Published 2025“…However, available datasets lack annotated real anomalies, which poses significant challenges in developing effective detection systems. …”
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A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification
Published 2024“…These results highlight the model’s accuracy and demonstrate its potential as an effective automated waste classification and management solution.…”
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Anticancer Effects of Lebanese Cannabis Oil Against in vivo and in vitro Models of Squamous Cell Carcinoma
Published 2023“…The anti-tumor effect of COE was also evaluated using a DMBA/TPA skin carcinogenesis mouse model. …”
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Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting
Published 2025“…This paper introduces a novel random vector functional link transformer (RFT) and ensemble deep random vector functional link transformer (edRFT) networks to capture the dynamic characteristics of significant wave heights. The model employs hidden blocks based on transformer encoders to effectively capture complex sequential dependencies in the data. …”
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An Integrated Model For Examining The Intention To Use The Metaverse In Higher Education Through The SEM-ANN Approach
Published 2023“…Structural equation modeling and deep learning analysis were used for data analysis. …”
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