The disturbance observer has been widely employed in applications due to its powerful ability for disturbance rejection and robustness under plant uncertainties. However, it rejects the disturbance approximately rathe...
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In this paper, the control problem is addressed for a hybrid PDE-ODE system that describes a nonuniform gantry crane system with constrained tension. A bottom payload hangs from the top gantry by connecting a flexible...
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作者：
Smalyukh, Ivan I.Department of Physics
Department of Electrical Computer and Energy Engineering Soft Materials Research Center and Materials Science and Engineering Program University of Colorado BoulderCO80309 United States Renewable and Sustainable Energy Institute
National Renewable Energy Laboratory University of Colorado BoulderCO80309 United States
Colloids are abundant in nature, science and technology, with examples ranging from milk to quantum dots and the "colloidal atom" paradigm. Similarly, liquid crystal ordering is important in contexts ranging...
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KM3NeT/ORCA is an underwater neutrino telescope under construction in the Mediterranean Sea. Its primary scientific goal is to measure the atmospheric neutrino oscillation parameters and to determine the neutrino mass...
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Multiscale mathematical models that incorporate both intracellular and extracellular hepatitis C virus (HCV) dynamics have been developed in recent years to study HCV-host dynamics and antivirals mode of action and ef...
Multiscale mathematical models that incorporate both intracellular and extracellular hepatitis C virus (HCV) dynamics have been developed in recent years to study HCV-host dynamics and antivirals mode of action and efficacy. They were built upon the standard HCV dynamic model that keeps track of uninfected hepatocytes, HCV-infected hepatocytes, and free virus in blood (for each there is a differential equation), along with a fourth equation that considers the intracellular viral RNA (vRNA) dynamics in an infected cell. A multiscale model with vRNA dynamics consideration is substantially more difficult to solve and the governing differential equations are stiff. In one of the derived differential equations there is also an integral involving the vRNA that is more accurately computed by considering previous iterations, impeding the use of canned solvers. To solve this problem we have chosen to implement a stable and efficient numerical method that belongs to the family of adaptive stepsize methods and is implicit, the Rosenbrock method. We provide a user friendly simulator called HCVMultiscaleDyn with a Graphical User Interface that applies this method and is useful to simulate viral dynamics during antiviral treatment.
Indirect dark matter detection methods are used to observe the products of dark matter annihilations or decays originating from astrophysical objects where large amounts of dark matter are thought to accumulate. With ...
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This study proposes the use of a computational approach based on machine learning (ML) algorithms to build predictive models using eye tracking data. Our intention is to provide results that may support the study of m...
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This study proposes the use of a computational approach based on machine learning (ML) algorithms to build predictive models using eye tracking data. Our intention is to provide results that may support the study of medical investigation in the decision-making process in clinical bioethics, particularly in this work, in cases of euthanasia. The data used in the approach were collected from 75 students of the nursing undergraduate course using an eye tracker. The available data were processed through feature selection methods, and were later used to create models capable of predicting the euthanasia decision through ML algorithms. Statistical experiments showed that the predictive model resultant from the multilayer perceptron (MLP) algorithm led to the best performance compared with the other tested algorithms, presenting an accuracy of 90.7% and a mean area under the ROC curve of 0.90. Interesting knowledge (patterns and rules) for the studied bioethical decision-making was extracted using simulations with MLP models and inspecting the obtained decision-tree rules. The good performance shown by the obtained MLP predictive model demonstrates that the proposed investigation approach may be used to test scientific hypotheses related to visual attention and decision-making.
Unmanned Aerial Vehicles (UAV), commonly known as drones, have many potential uses in real world applications. Drones require advanced planning and navigation algorithms to enable them to safely move through and inter...
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