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The present study investigates the degradation of atrazine (2-chloro-4-(ethylamino)-6-isopropylamino-s-triazine) by ozone and OH radicals during ozonation and advanced oxidation processes, with the identification of the main degradation products. Besides t ...
Bidimensional interaction of an oblique shock with a plane plate has been studied numerically using large eddy simulation (LES) and compared with experimental data. This case represents an idealized model of bidimensional air intake and constitutes a chall ...
Using a serial bilayer model we show that heterogeneous ferroelectric systems may exhibit substantial Maxwell-Wagner piezoelectric relaxation. The relaxation has its origin in the coupling of the dielectric and piezoelectric properties. The model predicts ...
Optical motion capture provides an impressive ability to replicate gestures. However, even with a highly professional system there are many instances where crucial markers are occluded or when the algorithm confuses the trajectory of one marker with that o ...
Optical motion capture provides an impressive ability to replicate gestures. However, even with a highly professional system there are many instances where crucial markers are occluded or when the algorithm confuses the trajectory of one marker with that o ...
A systematic study has been carried out of cell calculations for three different types of uranium-free LWR fuels, considered earlier within the framework of an international benchmark exercise. The approach adopted is the application of a single computatio ...
This study aimed to model phenomenologically the dynamics of arterial wall remodeling under hypertensive conditions. Sustained hypertension was simulated by a step increase in blood pressure. The arterial wall was considered to be a thick-walled tube made ...
Recent research advocates using general message predictors to learn and predict the coherence activity in distributed shared memory (DSM). By accurately predicting a message and timely invoking the necessary coherence actions, a DSM can hide much of the re ...
Gaussian process (GP) prediction suffers from O(n^3) scaling with the data set size n. By using a finite-dimensional basis to approximate the GP predictor, the computational complexity can be reduced. We derive optimal finite-dimensional predictors under a ...
Statistical model selection criteria provide an informed choice of the model with best external (i.e., out-of-sample) validity. Therefore they guard against overfitting ("data snooping"). We implement several model selection criteria in order to verify rec ...
