Thermocapillarity can drive steady flows in float-zone configurations. These flows can become unstable and exhibit time-periodic oscillations. In order to obtain insight into such phenomena, studies are made of a simp...
Thermocapillarity can drive steady flows in float-zone configurations. These flows can become unstable and exhibit time-periodic oscillations. In order to obtain insight into such phenomena, studies are made of a simplified system consisting of liquid in a two-dimensional slot. Steady flows and their instabilities are examined.
In this paper, the Transmission Line Method (TLM) is applied to generate a voice signal by simulating the acoustic propagation of a glottal signal, obtained by inverse filtering of the voice signal, through an /a/ vow...
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ISBN:
(纸本)9781618392596
In this paper, the Transmission Line Method (TLM) is applied to generate a voice signal by simulating the acoustic propagation of a glottal signal, obtained by inverse filtering of the voice signal, through an /a/ vowel shaped vocal tract uniform TLM mesh. The vocal tract TLM mesh is constructed over a segmented Magnetic Resonance(MR) volume image. The tools for segmentation, mesh extraction and the TLM itself were implemented as part of the ModaVox program, which is an open source application constructed during the research presented here. The methodology was validated, firstly, simulating the acoustic propagation of a probe signal through tube model meshes. Then, the same probe signal was used as the input for the vocal tract TLM mesh and the resonant frequencies obtained by simulation were compared with those of the real vocal tract. Finally, the glottal signal is used as input for the vocal tract mesh and the reflective boundary conditions of the vocal tract walls were designed to reproduce the consistency of the soft tissues. The voice signal simulated was then compared with the original voice signal generated by the subject when his vocal tract was imaged.
We describe the flow and filtration control imparted to membranes through the adsorption of polymer brushes onto the interior pores. The brushes exhibit a negative Poisson’s ratio, i.e. they swell under shear, and as...
We describe the flow and filtration control imparted to membranes through the adsorption of polymer brushes onto the interior pores. The brushes exhibit a negative Poisson’s ratio, i.e. they swell under shear, and as a result behave as sensors and valves controlling the flow and filtration through the pore. The valve-behavior of brushes adsorbed onto cylindrical pores displays the same constant discharge control but also exhibits a critical shear rate for brush swelling.
This letter shows the ability to perform character-ization of the strain field in an aluminium bicrystal subject to plane strain condition induced by micro scale laser shock peening. Intensity contrast method, previou...
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This letter shows the ability to perform characterization of the strain field in an aluminium bicrystal subject to plane strain condition induced by micro scale laser shock peening. Intensity contrast method, previous...
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The images obtained by X-Ray or computed tomography (CT) in adverse conditions may be contaminated with noise that can affect the detection of diseases. A large number of image processing techniques (filters) have bee...
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The images obtained by X-Ray or computed tomography (CT) in adverse conditions may be contaminated with noise that can affect the detection of diseases. A large number of image processing techniques (filters) have been proposed to remove noise. These techniques depend on the type of noise present in the image. In this work, we propose a method designed to reduce the Gaussian, the impulsive and speckle noise and combined noise. This filter, called PGNDF, combines a non-linear diffusive filter with a peer group with fuzzy metric technique. The proposed filter is able to reduce efficiently the image noise without any information about what kind of noise might be present. To evaluate the filter performance, we use mammographic images from the mini-MIAS database which we have damaged by adding Gaussian, impulsive and speckle noises of different magnitudes. As a result, the proposed method obtains a good performance in most of the different types of noise.
The aim of this paper is to determine the optimal time-dependent control of diluant adding in a diafiltration process that is designed to purify and to concentrate human albumin. We address the control of wash-water u...
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In this paper, we review various LTPS backplane technologies based on laser-crystallization and other related methods that have been applied to AMLCD and AMOLED displays. The TFT performances obtained by different mel...
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This paper focuses on the problem of minimum time trajectory planning for helicopter UAVs. It is formulated as a nonlinear optimal control subject to the dynamics and limitations of helicopter UAVs. The dynamical syst...
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Abstract Caspases are the key mediators of the apoptotic cascade leading to cell death in mammalian cells. Caspase activation in a Chinese Hamster Ovary (CHO) cell line producing Anti-RhD monoclonal antibody (mAb) in ...
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Abstract Caspases are the key mediators of the apoptotic cascade leading to cell death in mammalian cells. Caspase activation in a Chinese Hamster Ovary (CHO) cell line producing Anti-RhD monoclonal antibody (mAb) in batch culture was simulated and measured experimentally. The model assumes that apoptosis proceeds through one of two independent pathways: the intrinsic pathway and the extrinsic pathway. Induction of the extrinsic pathway is assumed to involve cell-cell signaling by apoptotic (caspase-3 active) cells, while the intrinsic pathway is assumed to be triggered by toxic stress (ammonia). The model parameters were estimated by training the model by a nonlinear constrained optimization method embedded in MATLAB. The model provides a good fit to the experimental observations. In addition, this apoptosis model was integrated with a dynamic model of CHO culture metabolism previously obtained through metabolic flux analysis. The combined model provides good predictions of the measured metabolite profiles thus it can serve for future optimization of the culture.
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