Search alternatives:
rate based » rule based (Expand Search), states based (Expand Search)
teer » steer (Expand Search), tezer (Expand Search), peer (Expand Search)
decrease » increase (Expand Search)
rate based » rule based (Expand Search), states based (Expand Search)
teer » steer (Expand Search), tezer (Expand Search), peer (Expand Search)
decrease » increase (Expand Search)
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Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation
Published 2025“…However, its reliability is impacted by challenges such as false positives, false negatives, and environmental variability, particularly in low base rate damage scenarios. The Base Rate Bias plays a significant role, as low probabilities of actual damage often lead to misinterpretation of positive results. …”
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Growth rate and rupture rate of unruptured intracranial aneurysms: a population approach
Published 2009“…We investigate a relationship between growth rate and rupture rate and develop a theoretical model that can predict average behavior of unruptured intracranial aneurysms based on existing clinical data. …”
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A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
Published 2022“…Therefore, the proposed work, in this paper, is based on the Least Significant Bit (LSB) substitution method. …”
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Dynamic mechanical characterization and modelling of polypropylene based organoclay nanocomposite
Published 2015“…The experimental characterization was performed by using split Hopkinson pressure bars (SHPB), at different strain rates and temperatures. A significant increase of the yield stress of nanocomposite was shown with the present of organoclay, comparing to neat PP. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…However, questions related to its mechanism of interaction with the substrate, furimazine, as well as bioluminescence activity remain elusive. Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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Characterization and Modeling of Damage in Steel at Different Strain Rates
Published 2011Get full text
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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…Additionally, we find that the N501Y mutant S1-RBD displays altered dynamics that likely aids in its enhanced interaction with ACE2. …”
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Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
Published 2021Get full text
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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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Performance evaluation of 3D-printed PLA composites doped with WE43 magnesium alloy for bone tissue engineering applications
Published 2025“…While a low Mg content (5 %) only slightly impacted the print quality and dimensions, higher Mg concentrations (10 % and 15 %) led to increased weight, rougher surfaces, dimensional shrinkage in height, and overall poorer formation quality. Adding WE43 alloy to PLA decreased the average pore sizes of the composites. …”
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A machine learning-based optimization approach for pre-copy live virtual machine migration
Published 2023“…The main difficulty with this approach is the high rate of frequently updating memory pages, referred to as "dirty pages. …”
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A FeedForward–Convolutional Neural Network to Detect Low-Rate DoS in IoT
Published 2022“…The Canadian Institute of Cybersecurity Denial of Service 2017 (CIC DoS 2017) dataset is used for the study. An iterative wrapper-based feature selection using Support Vector Machine (SVM) is used to derive the significant features required for detection. …”
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