28 research outputs found

    Energy Management in Buildings Using MATLAB

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    Energy-saving in Wireless Sensor Networks based on Sink Movement Control using fuzzy logic

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    In this paper, a mobile base station is used to reduce the energy consumption. Clustering is done by the fuzzy method based on different priorities. In first clustering is done by energy and cluster centric priorities then the base station has moved with fuzzy logic approach on a predetermined paths for collecting data. In second, clustering is done by distance, energy and cluster centric priorities. Lastly, clustering is done based on distance and energy priorities. Simulation results show that network lifetime increases when the base station is moving and clustering is done by energy and cluster centric priorities

    Interrelationship of βeta-2 microglobulin, blood urea nitrogen and creatinine in streptozotocin -induced diabetes mellitus in rabbits

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    Measurement of serum creatinine (Cr) and blood urea nitrogen (BUN) are used as indicators of glomerular filtration rate. The increased levels of these biomarkers are usually detectable at advanced stages of kidney complications. The aim of this study was to find the interrelationship of beta-2 microglobulin (β2M), BUN and Cr in streptozotocin (STZ)-induced diabetes mellitus in rabbits. Diabetes was induced by a single intraperitoneal (IP) injection of 65 mg kg-1 of STZ in rabbits. The levels of serum insulin, glucose and three above mentioned biomarkers were measured one day before (day -1) and on days 1-3 after injection of STZ and continued weekly to the end of the experiment (12 weeks). A statistically significant increase of serum β2M, BUN, Cr and glucose levels, and a significant decrease of insulin levels were observed in diabetic animals. However, β2M levels increased as early as one day after STZ injection compared to Cr and BUN that elevated at day two, suggesting a probable diagnostic advantage of β2M over currently used biomarkers in diabetic related kidney complications

    Effectiveness of Semmes-Weinstein monofilament examination for diabetic peripheral neuropathy screening in Ahvaz, Iran

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    Foot care prevention programs can reduce the occurrence of foot ulcerations and amputations. This investigation evaluated Effectiveness of Semmes-Weinstein monofilament examination for diabetic peripheral neuropathy screening in Ahvaz, Iran. In this quasi-experimental design 150 patients with diabetes mellitus were recruited by purposive sampling. All patients were tested for sensory neuropathy using Semmes-Weinstein Monofilament Examination. In the next phase nerve conduction velocity was examined. The sensitivity of Semmes-Weinstein Monofilament 10 g was 38.5-61.5 at sites 1-8, whereas the specificity was 77.5-95.5. Monofilament was found to be simple, cheap and useful method and suitable for detection of sensory neuropathy in clinical examinations. Hence, we recommend screening of patients for neuropathy as soon as they are diagnosed with diabetes

    Energy Management in Buildings Using MATLAB

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