741 research outputs found

    Therapeutic interventions in shock:Responses of the (microvascular) endothelium

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    Shock is associated with a high morbidity and mortality, and prompt recognition and medical management are essential to correct the cause of shock and stabilize the associated physiological disturbances. Effective therapeutic strategies for the treatment of shock patients remain a challenging conundrum in clinical care. In this thesis, we investigated potential therapeutic strategies for the treatment of shock associated changes in microvascular endothelial behavior in hemorrhage and sepsis. Our aims were to understand the role of microvascular flow alterations in regulating endothelial behavior and test the effects of different therapeutic interventions on the inflammatory activation status of microvascular endothelial cells created by flow alterations and cytokines both in vitro and in vivo. Shock is associated with a decrease and loss of intravascular blood flow. In our in vitro study, the abrupt reflow related enhancement of cytokine-induced endothelial pro-inflammatory activation supports the concept that sudden regain of perfusion during resuscitation has an aggravating effect on endothelial pro-inflammatory activation, which may play a significant role in vascular dysfunction and consequent organ injury after recovery from shock. Furthermore, the in vivo pharmacological interventions in hemorrhagic shock and resuscitation model imply the potential of histone deacetylase inhibition and NF-κB inhibition in the treatment of this condition. In addition, using SAINT-O-Somes as carriers of dexamethasone to target to vascular adhesion molecule (VCAM-1) expressed on the surface of endothelial cells, we demonstrated the specific delivery of the carriers in inflamed endothelial cells in sepsis, the therapeutic impact of which needs further investigation

    The Determinants of Commercial Bank Profitability in Canada

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    This dissertation uses average return on equity (ROAE), the average return on assets (ROAA) and net interest margin (NIM) as an indicator, examines the bank-specific factors and the influence of macroeconomic factors on bank profitability by Canadian Banks in 2011-2018, aimed to explore the underlying determinant of Canadian Banks profits, and tries to find out the relationship between bank profitability and its important determinants. Meanwhile, in order to improve the competitiveness of Banks, this paper combines the important determinants with the risk management framework. The results show that cost efficiency and liquidity are the most important and significant factors in determining bank profitability; Macroeconomic factors, including GDP growth rate and inflation rate, have no significant impact on profitability. The proof of the importance of bank-specific factors provides further enlightenment for the practice of bank risk management

    Effect of Molecular Structure Modification and Nano-Doping on Charge Transportation of Polyimide Films for Winding Insulation

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    Polyimide (PI) is widely employed as winding insulation in high voltage devices, such as extra-high voltage electric reactor and inverter-fed motor. The injection and accumulation of charges on the surface of PI films will lead to electrical field distortion and reduced lifespan of winding insulation, especially for the operation environment of high temperature and high voltage. This chapter focuses on effects of surface molecular modification and nanoparticles on dynamic characteristics of surface charge and space charge of pure PI films, including three sections. The effect of molecular structure on the surface charge dynamics of PI films was studied firstly. The chapter investigated that how molecular structure affects surface charge of polyimide nanocomposite films. Furthermore, the effect of surface molecular modification on space charge characteristics of multilayer PI films was researched. The results illustrate that surface molecular modification and nanoparticles can comprehensively suppress space charge accumulation and improve dielectric property

    A GPU-based simulation system for infrared images of deep space targets

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    Abstract In study of deep space targets recognition, infrared images of deep space targets are needed for repeat testing and evaluating. Since the limitation of deep space flight experiments, it is difficult to obtain sufficient infrared images under different conditions. Infrared image simulation technology is brought up to solve this problem efficiently. The principle of deep space targets infrared imaging was studied. Based on the infrared sensor's optical properties, a hierarchical imaging model was built. The infrared camera and all the effects were simulated respectively, including motion trail of target and space objects, blurring, dispersion, blind elements, and noise. A mixed noise model was introduced by combining the random noise and Perling noise model. In the image simulating process, Graphic Processing Unit was used to produce noise image in real time. According to the reference photo of infrared sensors, infrared simulated images were evaluated using histogram distribution, the trend of intensity, and Signal to Noise Ratio, and the results show these images satisfied targets recognition algorithm
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