179 research outputs found

    The quality of data and the accuracy of energy generation forecast by artificial neural networks

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    The paper presents the issues related to predicting the amount of energy generation, in a particular wind power plant comprising five generators located in south-eastern Poland. The location of wind power plant, the distribution and type of applied generators, and topographical conditions were given and the correlation between selected weather parameters and the volume of energy generation was discussed. The primary objective of the paper was to select learning data and perform forecasts using artificial neural networks. For comparison, conservative forecasts were also presented. Forecasts results obtained shaw that Artificial Neural Networks are more universal than conservative method. However their forecast accuracy of forecasts strongly depends on the selection of explanatory dat

    Cytokine Production by Peripheral Blood CD4+ and CD8+ T Cells in Atopic Childhood Asthma

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    There are conflicting studies on T cell cytokine production in childhood asthma. In this study intracellular cytokine expression of IL-2, IL-4, IL-10, IL-13, IFN-γ, and TNF-α in CD4+ and CD8+ T cells in children with atopic asthma were measured by flow cytometry. Results. A significant increase in the percentage of CD4+ and CD8+ T cells producing IL-4 and IL-13 and decrease in the percentage of CD4+ producing IFN-γ in asthmatic children was found. The percentage of CD4+/IL-13+ was significantly higher in severe asthma than in children with intermittent disease symptoms. Severity of asthma was associated with increased both serum IgE and frequencies of CD4+/IL-13+ T cells, as well as duration of disease. Moreover, a decrease in FEV1, FEV1/FVC was observed in relation to the severity of asthma. Changes in cytokine profile in CD8+ subpopulation didn't depend on the severity of the disease. Conclusions. Increased production of IL-4 and IL-13 in both CD4+ and CD8+ T cells accompanied by decreased IFN-γ expression in CD4+ T cells may be evidence that both lymphocyte subpopulations are implicated in the pathogenesis of asthma. Relationship of CD4+/IL-13+ T cells with disease activity suggests that this lymphocyte subset may have a prominent role in childhood asthma

    TRAIL-induced apoptosis and expression of death receptor TRAIL-R1 and TRAIL-R2 in bladder cancer cells.

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    Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL/Apo2L) is a member of TNF superfamily able to induce programmed death in cancer cells with no toxicity against normal tissues. TRAIL mediate apoptosis follows binding to the two death receptors, TRAIL-R1 (DR4) and/or TRAIL-R2 (DR5). In this study we investigated the cytotoxic and apoptotic effect of TRAIL on bladder cancer cells and the expression of death receptor TRAIL-R1 and TRAIL-R2 on the surface of these cancer cells. Three human bladder transitional cancer cell (TCC) lines - SW780, 647V and T24 were tested for TRAIL sensitivity. The bladder cancer cells were incubated with human soluble recombinant TRAIL. Cytotoxicity was measured by MTT (3-[4,5-dimethylthiazol-2-yl]-2,5-dimethyltetrazolium bromide) and LDH (lactate dyhydrogenase) assays. Apoptosis was detected by flow cytometry with annexin V-FITC/propidium iodide and by fluorescence microscopy with Hoechst 33342/annexin V-FITC/Ethidium Homodimer. The cell surface expression of TRAIL death receptors on bladder cancer were determined using flow cytometry with phycoerythrin-conjugated monoclonal anti-human TRAIL-R1 and TRAIL-R2. Our investigations confirmed that SW780 cells were sensitive to TRAIL, and two other bladder cancer cell lines, 647V and T24, were resistant to TRAIL induced apoptosis. We therefore examined the expression of TRAIL death receptors on bladder cancer cell surfaces. We showed decreased expression of TRAIL-R2 receptor in TRAIL-resistant bladder cancer cells and increased expression of this death receptor in TRAIL-sensitive SW780 cells. The expression of TRAILR1 receptor was similar in all bladder cancer cell lines. TRAIL is one of the promising candidates for cancer therapeutics. However, some cancer cells are resistant to TRAIL-mediated apoptosis. It is therefore important to overcome this resistance for the clinical use of TRAIL in cancer therapy. TRAIL death receptors are attractive therapeutic targets in cancer treatment. The cytotoxic agents capable of up-regulating the expression of TRAIL-R1 and TRAIL-R2 can sensitize cancer cells to TRAIL induced apoptosis
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