17 research outputs found

    Evaluation of lysosomal stability and red blood cell membrane fragility in mudskipper (Boleophthalmus dussumieri) as a biomarker of poly aromatic hydrocarbons

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    This research was carried out to study some physiological responses of mudskipper (i.e., Boleophthalmus dussumieri) as a biomarker Poly Aromatic Hydrocarbons (PAHs). Fish specimens were obtained 5 stations (Arvand, Jafari, Zangi, Samayeli, Bahrakan) along north western coast of the Persian Gulf (Khuzestan Coast). PAHs concentration was measured by HPLC method. Lysosomal membrane change was measured by NRR time method and stability of red blood cell membrane was evaluated by EOF test. Total PAH concentrations in the sediments and the liver tissue ranged between 113.50-3384.34 ng g-1dw, 3.99-46.64ng g-1 dw, respectively. Highest PAHs pollution was found at Jafari while the lowest was detected at Bahrakan, with significant between these 2 stations. Values of mean RT of the dye ranged from 34 (for the blood samples of mudskipper collected from Jafari site) to 78 minutes (for the blood samples of mudskipper collected from Bahrakan). Preliminary results showed a significant difference among stations except between Arvand and Zangi. Osmotic fragility curves indicated that erythrocytes collected from mudskippers at Jafari were the most fragile followed by Zangi> Arvand> Samayeli> and Bahrakan. The results suggest that lysosomal membrane change and red blood cell membrane stability in B. dussumieri could be extended as a biomarker of oil pollution in marine biomonitoring programs

    Intravitreal injection of anti-vascular endothelial growth factor agents for ocular vascular diseases: Clinical practice guideline

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    Purpose: To provide the clinical recommendations for the administration of intravitreal anti-vascular endothelial growth factor (VEGF) drugs especially bavacizumab for ocular vascular diseases including diabetic macular edema, neovascular age-related macular degeneration, myopic choroidal neovascularization, retinal vein occlusion and central serous chorioretinopathy. Methods: Twenty clinical questions were developed by the guideline technical committee. Relevant websites and databases were searched to find out the pertinent clinical practice guidelines to answer the questions. The technical committee provided possible answers (scenarios) according to the available evidences for each question. All scenarios along with their levels of evidence and the supported articles were sent to the experts for external review. If the experts did not agree on any of the scenarios for one particular clinical question, the technical committee reviewed all scenarios and their pertinent evidences and made the necessary decision. After that, the experts were asked to score them again. All confirmed scenarios were gathered as the final recommendations. Results: All the experts agreed on at least one of the scenarios. The technical committee extracted the agreed scenario for each clinical question as the final recommendation. Finally, 56 recommendations were developed for the procedure of intravitreal anti-VEGF injection and their applications in the management of ocular vascular diseases. Conclusion: The implementation of this guideline can standardize the management of the common ocular vascular diseases by intravitreal injection of anti-VEGF agents. It can lead to better policy-making and evidence-based clinical decision by ophthalmologists and optimal evidence based eye care for patients. © 2018 Journal of Ophthalmic and Vision Research

    Intravitreal injection of anti-vascular endothelial growth factor agents for ocular vascular diseases: Clinical practice guideline

    Get PDF
    Purpose: To provide the clinical recommendations for the administration of intravitreal anti-vascular endothelial growth factor (VEGF) drugs especially bavacizumab for ocular vascular diseases including diabetic macular edema, neovascular age-related macular degeneration, myopic choroidal neovascularization, retinal vein occlusion and central serous chorioretinopathy. Methods: Twenty clinical questions were developed by the guideline technical committee. Relevant websites and databases were searched to find out the pertinent clinical practice guidelines to answer the questions. The technical committee provided possible answers (scenarios) according to the available evidences for each question. All scenarios along with their levels of evidence and the supported articles were sent to the experts for external review. If the experts did not agree on any of the scenarios for one particular clinical question, the technical committee reviewed all scenarios and their pertinent evidences and made the necessary decision. After that, the experts were asked to score them again. All confirmed scenarios were gathered as the final recommendations. Results: All the experts agreed on at least one of the scenarios. The technical committee extracted the agreed scenario for each clinical question as the final recommendation. Finally, 56 recommendations were developed for the procedure of intravitreal anti-VEGF injection and their applications in the management of ocular vascular diseases. Conclusion: The implementation of this guideline can standardize the management of the common ocular vascular diseases by intravitreal injection of anti-VEGF agents. It can lead to better policy-making and evidence-based clinical decision by ophthalmologists and optimal evidence based eye care for patients. © 2018 Journal of Ophthalmic and Vision Research

    Comparison of performance prediction of solar water heaters between Artificial Neural Networks and conventional correlations

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    The aim of this study was to develop a predictive method for heat transfer coefficients in solar water heaters and their performance evaluation of such heaters with different materials used as heat collectors. Two approaches have been used: conventional method and an Artificial Neural Network (ANN) to predict the performance of solar water heaters and to compare these two approaches. This performance is measured in terms of outlet temperature by using a set of conventional feed forward multi-layer neural networks. The actual experimental data which were used as our network's input gathered from published literature (for polypropylene tubes) and from the experiments carried out recently using copper tubes. The results of this study showed that ANN approach can give better approximation than the traditional theoretical correlations which was obtained by linear regression analysis.heat transfer coefficient; artificial neural networks; ANNs; performance evaluation; solar water heaters; outlet temperature; polypropylene tubes; copper tubes; linear regression analysis.
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