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We divided the 164 patients with CRC into a high PVT-1 expression group (n=131) and a low PVT-1 expression group (n=33), classified as having expression levels higher or lower than the 20 percentile value, respectively, which is an approximation of the highest value among normal tissues.
We divided the 164 patients with colorectal cancer into a high MYC expression group (n=98) and a low PVT-1 expression group (n=66), classified as having expression levels higher or lower than the 40 percentile value, respectively, which is an approximation of the highest MYC expression value among normal tissues.
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At runtime, we first perform staircase-sensitive Laplacian filter on an input MC (Marching Cubes) mesh, and then filter the mesh facet normal field using the learned regression functions, and finally deform it to match the new normal field for obtaining a compact approximation of the high-resolution reference model.
Finally, to obtain the insight into the impact of system parameters on the performance of UCR-OR systems, by using the approximation of the high transmit power of SUs, the asymptotic closed-form expression of outage probability is achieved.
This model is based on the approximation of the high non-linear dependence of the memristive device current; the device can be modeled as a device with threshold currents.
Using the approximation of the high signal-to-noise ratio (SNR), upper bound functions for the second term and that for the fourth term in (14) can be, respectively, obtained as (15).
In this paper, uncertainty analysis of Advanced Heavy Water Reactor AHWRR) subjected to an accidental pressure is carried out using a computational tool based on High Dimensional Model Representation (HDMR) that facilitates lower dimensional approximation of the original high dimensional implicit limit state/performance function.
In this paper, uncertainty analysis of Indian 500 MWe Pressurized Heavy Water Reactor (PHWR) subjected to an accidental pressure is carried out using a computational tool based on High Dimensional Model Representation (HDMR) that facilitates lower dimensional approximation of the original high dimensional implicit limit state/performance function.
As the same dimensional approximation of the original high-dimensional data, the meta-profile keeps the most important global features, drops the redundant global features, and exacts almost all local features of the original data.
So, we only consider piecewise constant finite elements for the approximation of the control, though higher-order finite elements will be used to approximate the state and the co-state.
which is an approximation of the optimal at high SNR.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com