Intrapleural injections of recombinant human IFN-gamma have shown some efficacy in reducing tumor growth in early stages of diffuse malignant mesothelioma (DMM). Here, we have addressed the potential therapeutic effect of IFN-gamma in DMM by investigating the activation of the JAK/STAT signaling pathway in seven human mesothelioma cell lines (HMCLs) that were differentially responsive to the an...

Problems associated with understanding, verifying and reengineering the way in which a system allocates and releases dynamic memory present significant challenges to the software maintainer. Because the questions underlying these problems are undecidable, no system can provide a completely fail safe certification. For example, in checking for memory leaks, a system can only warn of potential pr...

The processes of fatigue life polycrystalline structural alloys under the combined action low- and high-cycle mechanisms are considered. From standpoint damaged medium mechanics (DMM), a mathematical model has been developed that describes plastic deformation accumulation damage. DMM consists three interrelated parts: relations determine cyclic elastoplastic behavior material, taking into accou...

BACKGROUND Electrical brain stimulation has shown promise for reducing seizures in drug-resistant epilepsy, but the electrical stimulation parameter space remains largely unexplored. New stimulation parameters, electrode types, and stimulation targets may be more effective in controlling seizures compared to currently available options. HYPOTHESIS We hypothesized that a novel electrical stimu...

Transforming growth factor alpha (TGFα) is a growth factor involved in osteoarthritis (OA). TGFα induces an OA-like phenotype in articular chondrocytes, by inhibiting matrix synthesis and promoting catabolic factor expression. To better understand TGFα's potential as a therapeutic target, we employed two in vivo OA models: (1) post-traumatic and (2) aging related OA. Ten-week old and six-month ...

Due to the incomprehensive and inconsistent description of spatial and temporal information for city data observed by sensors in various fields, it is a great challenge to share the massive, multi-source and heterogeneous interdisciplinary instant point observation data resources. In this paper, a spatio-temporal enhanced metadata model for point observation data sharing was proposed. The propo...

Duchenne muscular dystrophy (DMD) is an X-linked, degenerative muscle disease that is exacerbated by secondary inflammation. Here, we characterized the immunological milieu of dystrophic muscle in mdx mice, a model of DMD, to identify potential therapeutic targets. We identified a specific subpopulation of cells expressing the Vbeta8.1/8.2 TCR that is predominant among TCR-beta+ T cells. These ...

We propose a method for training deep convolutional neural networks (CNNs) to recognize the human actions captured by depth cameras. The depth maps and 3D positions of skeleton joints tracked by depth camera like Kinect sensors open up new possibilities of dealing with recognition task. Current methods mostly build classifiers based on complex features computed from the depth data. As a deep mo...

OBJECTIVE Mouse articular cartilage (AC) is mostly assessed by histopathology and its mechanics is poorly characterised. In this study: (1) we developed non-destructive imaging for quantitative assessment of AC morphology and (2) evaluated the mechanical implications of AC structural changes. METHODS Knee joints obtained from naïve mice and from mice with osteoarthritis (OA) induced by destab...