7,289 research outputs found
Infinite-thin shock layer solutions for stationary compressible conical flows and numerical results via Fourier spectral method
We consider the problem of uniform steady supersonic Euler flows passing a
straight conical body with attack angles, and study Radon measure solutions
describing the infinite-thin shock layers, particularly for the Chaplygin gas
and limiting hypersonic flows. As a byproduct, we obtain the generalized
Newton-Busemann pressure laws. To construct the Radon measure solutions
containing weighted Dirac measures supported on the edge of the cone on the
2-sphere, we derive some highly singular and non-linear ordinary differential
equations (ODE). A numerical algorithm based on the combination of Fourier
spectral method and Newton's method is developed to solve the physically
desired nonnegative and periodic solutions of the ODE. The numerical
simulations for different attack angles exhibit proper theoretical properties
and excellent accuracy, thus would be useful for engineering of hypersonic
aerodynamics.Comment: 15 pages, 10 figure
Generalized Newton-Busemann Law For Two-Dimensional Steady Hypersonic-limit Euler Flows Passing Ramps With Skin-Frictions
By considering Radon measure solutions for boundary value problems of
stationary non-isentropic compressible Euler equations on hypersonic-limit
flows passing ramps with frictions on their boundaries, we construct solutions
with density containing Dirac measures supported on the boundaries of the
ramps, which represent the infinite-thin shock layers under different
assumptions on the skin-frictions. We thus derive corresponding generalizations
of the celebrated Newton-Busemann law in hypersonic aerodynamics for
distributions of drags/lifts on ramps.Comment: 12 pages,1 figur
Ceria–terbia solid solution nanobelts with high catalytic activities for CO oxidation
Ceria–terbia solid solution nanobelts were prepared by an electrochemical route and tested as catalysts of high activity for CO oxidation
Information-Preserved Blending Method for Forward-Looking Sonar Mosaicing in Non-Ideal System Configuration
Forward-Looking Sonar (FLS) has started to gain attention in the field of
near-bottom close-range underwater inspection because of its high resolution
and high framerate features. Although Automatic Target Recognition (ATR)
algorithms have been applied tentatively for object-searching tasks, human
supervision is still indispensable, especially when involving critical areas. A
clear FLS mosaic containing all suspicious information is in demand to help
experts deal with tremendous perception data. However, previous work only
considered that FLS is working in an ideal system configuration, which assumes
an appropriate sonar imaging setup and the availability of accurate positioning
data. Without those promises, the intra-frame and inter-frame artifacts will
appear and degrade the quality of the final mosaic by making the information of
interest invisible. In this paper, we propose a novel blending method for FLS
mosaicing which can preserve interested information. A Long-Short Time Sliding
Window (LST-SW) is designed to rectify the local statistics of raw sonar
images. The statistics are then utilized to construct a Global Variance Map
(GVM). The GVM helps to emphasize the useful information contained in images in
the blending phase by classifying the informative and featureless pixels,
thereby enhancing the quality of final mosaic. The method is verified using
data collected in the real environment. The results show that our method can
preserve more details in FLS mosaics for human inspection purposes in practice
SIRT3 Protects Rotenone-induced Injury in SH-SY5Y Cells by Promoting Autophagy through the LKB1-AMPK-mTOR Pathway.
SIRT3 is a class III histone deacetylase that modulates energy metabolism, genomic stability and stress resistance. It has been implicated as a potential therapeutic target in a variety of neurodegenerative diseases, including Parkinson's disease (PD). Our previous study demonstrates that SIRT3 had a neuroprotective effect on a rotenone-induced PD cell model, however, the exact mechanism is unknown. In this study, we investigated the underlying mechanism. We established a SIRT3 stable overexpression cell line using lentivirus infection in SH-SY5Y cells. Then, a PD cell model was established using rotenone. Our data demonstrate that overexpression of SIRT3 increased the level of the autophagy markers LC3 II and Beclin 1. After addition of the autophagy inhibitor 3-MA, the protective effect of SIRT3 diminished: the cell viability decreased, while the apoptosis rate increased; α-synuclein accumulation enhanced; ROS production increased; antioxidants levels, including SOD and GSH, decreased; and MMP collapsed. These results reveal that SIRT3 has neuroprotective effects on a PD cell model by up-regulating autophagy. Furthermore, SIRT3 overexpression also promoted LKB1 phosphorylation, followed by activation of AMPK and decreased phosphorylation of mTOR. These results suggest that the LKB1-AMPK-mTOR pathway has a role in induction of autophagy. Together, our findings indicate a novel mechanism by which SIRT3 protects a rotenone-induced PD cell model through the regulation of autophagy, which, in part, is mediated by activation of the LKB1-AMPK-mTOR pathway
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