34 research outputs found

    Investigation of Stored Energy Distribution in Filters Using K-Means Clustering Algorithm

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    The k-means clustering algorithm has been implemented to find patterns in the time-averaged stored energy distribution in various filter networks. A large data set comprising of numerous topologies for 50 different single band specifications has been investigated. By finding key characteristics within this data set, general guidelines for predicting the optimum topology for power handling have been established

    <i>In vitro</i> macrophage activation: A technique for screening anti-inflammatory, immunomodulatory and anticancer activity of phytomolecules

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    133-141Macrophage activation plays a significant role in homeostasis of organisms. Various internal and external stress factors may affect their function, leading to adverse effects on the body. ‘In vitro macrophage activation techniques provide us with a window to understand the mechanisms of inflammation and response of macrophages to the modulating interventions. Apart from infectious diseases, inflammation is also the major culprit in pathogenesis of many noncommunicable diseases such as arthritis, obesity, metabolic syndrome, diabetes, cancer, cardiovascular disease etc. In vitro macrophage activation allows us to study the role of polarized macrophages in the process of pathogenesis. This emerging technique leads to newer diagnostics, understanding pathophysiological mechanism/s, drug development and management of chronic inflammatory diseases. We, at MRC-KHS, use this technique for screening of medicinal plant-derived phytomolecules for their anti-inflammatory, immunomodulatory and anticancer activities. This review briefly outlines the different experimental models of in vitro macrophage activation and their applications for understanding the pathophysiological mechanisms of underlying chronic inflammation and screening of therapeutic activity of plant-based phytomolecules

    Bioavailability assessment of ketoprofen incorporated in gelled self-emulsifying formulation: A technical note

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    Based on the results of the present study, it is apparent that the gelled SEF containing KPF did not significantly alter its bioavailability as compared with that of an immediate release solid dosage form when administered to human volunteers by the oral route

    Flow Behaviour and Microstructure of a β-Glucan Concentrate

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    The extensional viscosity is an important rheological characteristic of polymer melts. It is however not as frequently reported on as the shear viscosity. The extensional viscosity is of special interest when considering polymeric materials for foaming and film blowing processes. Here, the extensional (and shear) viscosity along with the melt strength and the tensile properties of the corresponding solid film of a β-glucan concentrate are reported on. A capillary viscometer equipped with a hyperbolic die, yielding a contraction flow, was used to assess the extensional viscosity of the aqueous β-glucan compound at room temperature and at elevated temperatures (110 and 130 °C). In general, the extensional viscosity as well as the shear viscosity decreased with increasing deformation rate. The influence of two different amounts of added water (40 and 50%) was also examined. As expected, both types of viscosities decreased with increasing temperature. It is suggested that gelatinization of the starch fraction in the concentrate at 110 and 130 °C contributes to temperature dependence of the viscosity. To some extent, this is supported by light microscopy and confocal scanning laser microscopy studies of the microstructure of the materials. The results reported here indicate that the β-glucan concentrate might, after some modifications, be used as a complement to fossil-based polymers and processed by conventional manufacturing techniques.
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