492 research outputs found

    Annulus eccentricity optimisation of a phase-change material (PCM) horizontal double-pipe thermal energy store

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    The application of phase-change materials (PCMs) has received significant interest for use in thermal energy storage (TES) systems that can adjust the mismatch between the energy availability and demand. In the building sector, for example, PCMs can be used to reduce air-conditioning energy consumption by increasing the thermal capacity of the walls. However, as promising this technology may be, the poor thermal conductivity of PCMs has acted as a barrier to its commercialization, with many heat-transfer enhancement solutions proposed in the literature, such as microencapsulation or metal foam inserts, being either too costly and/or complex. The present study focuses on a low-cost and highly practical solution, in which natural-convective heat transfer is enhanced by placing the PCM in an eccentric annulus within a horizontal double-pipe TES heat exchanger. This paper presents an annulus-eccentricity optimisation study, whereby the optimal radial and tangential eccentricities are determined to minimize the charging time of a PCM thermal energy store. The storage performance of several geometrical configurations is predicted using a computational fluid dynamics (CFD) model based on the enthalpy-porosity formulation. The optimal geometrical configuration is then determined with response surface methods. The horizontal double-pipe heat exchanger studied considered here is an annulus filled with N-eicosane as the PCM for initial studies. In presence of N-eicosane, for the concentric configuration (which is the baseline case), the charging is completed at Fo = 0.64, while the charging of optimum eccentric geometries with the quickest and slowest charging is completed at Fo = 0.09 and Fo = 2.31, respectively. In addition, an investigation on the discharging performance of the studied configurations with N-eicosane shows the quickest discharge occurs with the concentric annulus case at Fo = 0.99, while the discharge time of the proposed optimum annuli is about three times this value. In other words, the proposed optimum geometry with the quickest charging time charges ~7.1 times faster but also discharges ~3 times slower, which is ideal for a TES, especially when used as passive thermal storage systems in nearly zero-emission buildings. Complementary studies demonstrate that the proposed optimum configuration improves the TES performance also when employing other PCM types as well as various shell-to-tube diameter ratios

    Predictors of quality of life in breast cancer patients under chemotherapy

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    Background: Today, the quality of life studies has an important role in health care especially in chronic diseases. Breast cancer has third order among women\u2032s malignancies. Now, survival rate for this cancer is long. However breast cancer has several complications that affected the patient\u2032s life. Aims : The aim of this study was to assess the quality of life in Breast cancer patients under chemotherapy. Setting and Design: A cross-sectional study conducted on 119 breast cancer patients that were admitted and treated in chemotherapy ward of Namazi hospital in Shiraz city, south of Iran, between Jan and Feb 2006. Materials and Methods: The QLQ-C30 questionnaire was used to assess quality of life in these patients. Statistical Analysis: We used univariate methods. A multiple regression analysis was performed to identify predictors of quality of life. Results: Mean age of patients was 48.27\ub111.42 with quality of life total score 64.92\ub124.28. All symptoms scales had reverse association with quality of life except appetite loss (P>0.05) and diarrhea (P=0.752). The results of the regression analyses showed that only grade of tumor, occupational status, menopausal status, financial difficulties and dyspnea were statistically significant in predicting patients\u2032 quality of life. Conclusion: In conclusion, this study demonstrates the strength of the relationship between clinical and sociodemographical factors and breast cancer patients\u2032 quality of life. Psychological and financial support for women experiencing breast cancer diagnosis may improve quality of life

    Predictors of quality of life in breast cancer patients under chemotherapy

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    Background: Today, the quality of life studies has an important role in health care especially in chronic diseases. Breast cancer has third order among women′s malignancies. Now, survival rate for this cancer is long. However breast cancer has several complications that affected the patient′s life. Aims : The aim of this study was to assess the quality of life in Breast cancer patients under chemotherapy. Setting and Design: A cross-sectional study conducted on 119 breast cancer patients that were admitted and treated in chemotherapy ward of Namazi hospital in Shiraz city, south of Iran, between Jan and Feb 2006. Materials and Methods: The QLQ-C30 questionnaire was used to assess quality of life in these patients. Statistical Analysis: We used univariate methods. A multiple regression analysis was performed to identify predictors of quality of life. Results: Mean age of patients was 48.27±11.42 with quality of life total score 64.92±24.28. All symptoms scales had reverse association with quality of life except appetite loss (P>0.05) and diarrhea (P=0.752). The results of the regression analyses showed that only grade of tumor, occupational status, menopausal status, financial difficulties and dyspnea were statistically significant in predicting patients′ quality of life. Conclusion: In conclusion, this study demonstrates the strength of the relationship between clinical and sociodemographical factors and breast cancer patients′ quality of life. Psychological and financial support for women experiencing breast cancer diagnosis may improve quality of life

    Joint topology optimization, power control and spectrum allocation for intra-vehicular multi-hop sensor networks using dandelion-encoded heuristics

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    In the last years the interest in multi-hop communications has gained momentum within the research community due to the challenging characteristics of the intra-vehicular radio environment and the stringent robustness imposed on critical sensors within the vehicle. As opposed to point-to-point network topologies, multi-hop networking allows for an enhanced communication reliability at the cost of an additional processing overhead. In this context this manuscript poses a novel bi-objective optimization problem aimed at jointly minimizing (1) the average Bit Error Rate (BER) of sensing nodes under a majority fusion rule at the central data collection unit; and (2) the mean delay experienced by packets forwarded by such nodes due to multi-hop networking, frequency channel switching time multiplexing at intermediate nodes. The formulated paradigm is shown to be computationally tractable via a combination of evolutionary meta-heuristic algorithms and Dandelion codes, the latter capable of representing tree-like structures like those modeling the multi-hop routing approach. Simulations are carried out for realistic values of intra-vehicular radio channels and co-channel interference due to nearby IEEE 802.11 signals. The obtained results are promising and pave the way towards assessing the practical performance of the proposed scheme in real setups

    Facilitated Monocyte-Macrophage Uptake and Tissue Distribution of Superparmagnetic Iron-Oxide Nanoparticles

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    BACKGROUND: We posit that the same mononuclear phagocytes (MP) that serve as target cells and vehicles for a host of microbial infections can be used to improve diagnostics and drug delivery. We also theorize that physical and biological processes such as particle shape, size, coating and opsonization that affect MP clearance of debris and microbes can be harnessed to facilitate uptake of nanoparticles (NP) and tissue delivery. METHODS: Monocytes and monocyte-derived macrophages (MDM) were used as vehicles of superparamagnetic iron oxide (SPIO) NP and immunoglobulin (IgG) or albumin coated SPIO for studies of uptake and distribution. IgG coated SPIO was synthesized by covalent linkage and uptake into monocytes and MDM investigated related to size, time, temperature, concentration, and coatings. SPIO and IgG SPIO were infused intravenously into naïve mice. T(2) measures using magnetic resonance imaging (MRI) were used to monitor tissue distribution in animals. RESULTS: Oxidation of dextran on the SPIO surface generated reactive aldehyde groups and permitted covalent linkage to amino groups of murine and human IgG and F(ab')(2) fragments and for Alexa Fluor(R) 488 hydroxylamine to form a Schiff base. This labile intermediate was immediately reduced with sodium cyanoborohydride in order to stabilize the NP conjugate. Optical density measurements of the oxidized IgG, F(ab')(2), and/or Alexa Fluor(R) 488 SPIO demonstrated approximately 50% coupling yield. IgG-SPIO was found stable at 4 degrees C for a period of 1 month during which size and polydispersity index varied little from 175 nm and 200 nm, respectively. In vitro, NP accumulated readily within monocyte and MDM cytoplasm after IgG-SPIO exposure; whereas, the uptake of native SPIO in monocytes and MDM was 10-fold less. No changes in cell viability were noted for the SPIO-containing monocytes and MDM. Cell morphology was not changed as observed by transmission electron microscopy. Compared to unconjugated SPIO, intravenous injection of IgG-SPIO afforded enhanced and sustained lymphoid tissue distribution over 24 hours as demonstrated by MRI. CONCLUSIONS: Facilitated uptake of coated SPIO in monocytes and MDM was achieved. Uptake was linked to particle size and was time and concentration dependent. The ability of SPIO to be rapidly taken up and distributed into lymphoid tissues also demonstrates feasibility of macrophage-targeted nanoformulations for diagnostic and drug therapy

    Protein formulations for emulsions and solid-in-oil dispersions

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    Needs from medical and cosmetic areas have led to the design of novel nanosized emulsions and solid-in-oil dispersions of proteins. Here, we describe the production of those emulsions and dispersions using high-energy methodologies such as high-pressure homogenization or ultrasound. Recent work has resulted in new mechanistic insights related to the formation of protein emulsions and dispersions. The production method and composition of these formulations can determine major parameters such as size, stability, and functionality, and therefore their final application. Aqueous nanoemulsions of proteins can be used for drug delivery, while solid-in-oil dispersions are often used in transdermal applications.This study was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit and COMPETE 2020 (POCI-01-0145-FEDER-006684
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