7 research outputs found

    Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

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    In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). A literature analysis of various models and variables has been conducted to enhance comprehension of forecasting and its process. The majority of earlier research has focused on electricity or energy rather than heat. The aim of this study is to create a model (linear and non-linear) from 1993 to 2019 with a minimum error as possible, and then use the genetic algorithm (GA) and neural network (NN) to predict Sweden's heat consumption till 205

    The cientificWorldJOURNAL Research Article A Survey on Prevalence and Pathological Findings of Gallstones in Lori-Bakhtiari Sheep in Iran

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    In a survey of 430 Lori-Bakhtiari sheep at a slaughterhouse in Iran, gallstones were found in the gallbladder of 7 sheep (1.6%). Biliary calculi were more frequent in adult and female sheep (P < 0.05). Chemical analysis of the gallstones revealed 6 sheep with pigment (bilirubin) stones and 1 sheep with cholesterol stones. Chemical composition of bile in these sheep was evaluated. Bacteriologic analysis of the bile in the affected sheep revealed bacteria (Streptococcus spp., Klebsiella spp., Escherichia coli, and Salmonella spp.) in 5 sheep. Microscopic examination of gallbladders revealed focal calcification, cystic glands, necrosis and atrophy of mucosal layer, edema, diffuse and focal infiltration of lymphocytes in submucosal layer, and hypertrophy of smooth muscles in sheep with gallstones. It was concluded that the prevalence of both types of gallstones in Lori-Bakhtiari sheep is low. Cholelithiasis can cause chronic inflammation of the gallbladder, but it is not likely to become clinically significant

    Determination and risk assessment of heavy metals in air dust fall particles

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    Background: Urban and industrial development has increased the concentration of heavy metals in various environments, and also, increased their amount in dust fall particles. The aim of this study was to determine and assess the risk of heavy metals in air dust fall particles. Methods: Sampling of air dust fall particles was performed using the British model Dust Fall Jar devices. Heavy metals concentrations in the samples were determined using an atomic absorption spectrometer device. Then, the risk assessment of heavy metals in air dust fall was calculated by three indicators including enrichment factor (EF), geo-accumulation index (Igeo), and integrated pollution index (IPI). Data were analyzed using descriptive statistics and Excel 2016 software. Results: Zn was the most abundant heavy metal. The results of EF index showed that the highest degree of enrichment of dust fall particles with heavy metals is related to Ag and the lowest one is related to Cr. Also, the changes of Mean of both Igeo and IP indicators were as Ag > Pb > Zn > Cd > Cu > Co > Cr. Conclusion: According to the results, it can be concluded that Cr metal is originated from the earth and other metals are of man-made origin and are mainly due to the emissions of vehicles and industries. Also, on average, the samples had very low pollution in relation to all metals. Although the amount of pollution caused by heavy metals has not exceeded the allowable limits, but considering industrial development programs in the region, continuous measures to control air pollution caused by industries, are absolutely necessary. Keywords: Metals, Air pollution, Risk assessmen

    The study of the oipA and dupA genes in Helicobacter pylori strains and their relationship with different gastroduodenal diseases

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    Aim: The purpose of this investigation was to determine the oipA and dupA genes of Helicobacter pylori isolates from west of Iran; Chaharmahalo Bakhtiyari region and find their relationship with the severity of the gastroduodenal diseases. Background: Helicobacter pylori is an organism responsible for many gastroduodenal diseases. Many studies suggest that genetic diversity in H. pylori virulence factors such as oipA and dupA genes is high among isolates of different geographic regions and may cause more severe diseases. Patients and methods: In this cross-sectional study, gastric biopsy specimens were taken from 150 patients suffering from gastroduodenal diseases. The presence of ureC, dupA and oipA genes was tested by polymerase chain reaction (PCR). Results: Overall, 123 (82%) H. pylori strains were isolated from 150 specimens. dupA gene was detected in 41 (33.33%) H.pylori-positive specimens. There was a reverse correlation between this gene and gastric cancer. The oipA gene was found in 88 (71.54%) samples and statistically there was no association between this gene and gastric disorders. As statistical analyses revealed, the presence of the dupA was more common in isolates with the oipA negative. Conclusion: Based on our findings, the presence of dupA gene can be considered as a marker for the onset of severe diseases. However, the oipA gene cannot be regarded for prediction of gastroenterology diseases. Meanwhile, extended molecular epidemiology researches in other populations are recommended
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