The Experts below are selected from a list of 1902 Experts worldwide ranked by ideXlab platform
Emrah Torlak - One of the best experts on this subject based on the ideXlab platform.
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seasonal variations on total fatty acid composition of fillets of zander sander lucioperca in beysehir lake turkey
Food Chemistry, 2007Co-Authors: Gokalp Ozmen Guler, Abdurrahman Aktumsek, O B Citil, A Arslan, Emrah TorlakAbstract:Abstract Seasonal variations on total fatty acid compositions of zander, Sander lucioperca in Beysehir Lake, were determined by using GC. Polyunsaturated fatty acids (PUFA) were found to be higher than saturated (SFA) and monounsaturated fatty acids (MUFA) in all seasons. Palmitic acid was the major SFA (57.0–64.0% of total SFA) in all seasons. Oleic acid was identified as the major MUFA (45.0–58.0% of total MUFAs). Docosahexaenoic acid (DHA), linoleic acid (LA), eicosapentaenoic acid (EPA), and arachidonic acid (AA) were the most abundant PUFA. Relating to the total fatty acid composition of zander, the percentages of DHA, LA, AA, and EPA ranged between 17.1–23.3%, 5.40–15.4%, 6.72–9.94% and 4.22–5.93% of total lipid, respectively. The percentages of total ω 3 fatty acid were higher than those of total ω 6 fatty acid in the fatty acid composition of zander with ω 3/ ω 6 ratios of 1.49, 1.45, 1.22, 0.72 in spring, autumn, winter, and summer, respectively. It was shown that the fatty acid composition and ω 3/ ω 6 fatty acids ratio in the muscle of zander were significantly influenced by spawning and season.
Chuang Zhang - One of the best experts on this subject based on the ideXlab platform.
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research on danger model theory based artificial immune algorithm
Computational Intelligence, 2009Co-Authors: Xianyao Meng, Ning Wang, Chuang ZhangAbstract:Inspired from the experience of genetic and clone algorithm, propose an algorithm of Danger Model Immune Algorithm(DMIA) according to the danger model theory. It has a good performance in function optimization. From the simulation result, we can see that DMIA is valid, and also with higher efficiency than genetic algorithm. Keywords-Danger Model Immune Algorithm; danger signal; danger area; optimization
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adaptive danger area based danger model immune algorithm
International Conference on Intelligent Computing, 2009Co-Authors: Xianyao Meng, Ning Wang, Chuang ZhangAbstract:Danger Model Immune Algorithm(DMIA) is an algorithm based on the danger theory of biological immune system. In the basic algorithm, the danger area is fixed through the initial setting. It is an important parameter which will affect the capability of algorithm. In this paper, propose an adaptive danger area DMIA. The radius of danger area is decrease gradually according to the iteration steps. The simulation results indicate that the adaptive danger area DMIA is valid and has better optimization capability.
Aygul Kucukgulmez - One of the best experts on this subject based on the ideXlab platform.
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research note a comparison of the chemical composition of zander sander lucioperca living in different lakes of turkey
Journal of Muscle Foods, 2009Co-Authors: Abdullah Oksuz, Aygul Kucukgulmez, Abdullah Diler, Mehmet Celik, Esra KoyuncuAbstract:In the present work, the proximate compositions, minerals and trace element contents of zander (Sander lucioperca) caught from two lakes (Beysehir Lake and Seyhan Dam Lake) of Turkey were compared. There were significant differences between moisture and lipid contents, although there were no statistically significant differences between crude protein and ash contents. The mineral and trace elements determined were Na, K, Ca, P, Mg, Zn, Cu, Fe, Pb and Se. Although Na and Fe contents of zanders in two different lakes were different from each other (P 0.01). Among the minerals analyzed, K was the highest followed by P, Ca, Na and Mg. The most abundant trace elements were Zn, Fe, Cu, Se followed by Pb, and these elements were below the limits proposed by Turkish Food Codes for human consumption in the meat of zander. PRACTICAL APPLICATIONS This present study includes information about the nutritional value of zander, which lives in the fresh water lakes of our country and of which people are fond and is being exported. The comparison of the proximate, mineral and trace element contents of the same species which are caught in two different lakes has been made. In the scope of human nutrition, in accordance with the minerals which have got much importance, it involves useful information about what the position of this fish is, and whether it contains any risk due to trace elements. Furthermore, concerning this subject, it will also light the way for studies to be made in the future.
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a comparison of the proximate compositions and fatty acid profiles of zander sander lucioperca from two different regions and climatic conditions
Food Chemistry, 2005Co-Authors: Mehmet Celik, Abdullah Diler, Aygul KucukgulmezAbstract:Abstract The proximate compositions and fatty acid profiles of the flesh of the fresh water fish zander ( Sander lucioperca ) obtained from Egirdir Lake and from Seyhan Dam Lake were compared. The crude protein (18.8–18.1%), ash (1.37–0.75), and dry matter (20.67–20.09) contents of fish in Seyhan Dam Lake were observed to be higher than those in the other lake. Zander in Seyhan Dam Lake had a significantly ( p n − 9, (19.2–13.4%). The data obtained indicate that the % composition of n − 3 PUFAs is greater in the flesh of zander in Egirdir Lake. This finding is in compliance with the fact that n − 3 fatty acids in fish living in cold climatic conditions have a higher % composition. It was concluded that the consumption of zander, widely found in Egirdir Lake and having higher % composition of n − 3 PUFAs than those caught from Seyhan Dam Lake, is more beneficial for human health.
R Valenta - One of the best experts on this subject based on the ideXlab platform.
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detection of an allergen in dog Dander that cross reacts with the major cat allergen fel d 1
Clinical & Experimental Allergy, 2007Co-Authors: Renate Reininger, Eva M Varga, M Zach, Nadja Balic, A D Lindemeier, Ines Swoboda, Hans Gronlund, M Van Hage, H Rumpold, R ValentaAbstract:Summary Background A considerable proportion of animal-allergic patients are sensitized to both cat and dog allergens but knowledge about cross-reactive allergens in cat and dog Dander is limited. Objective To investigate whether dog Dander contains an allergen that cross-reacts with the major cat allergen, Fel d 1. Methods Recombinant Fel d 1 with the same immunological properties as natural Fel d 1 was used for quantitative (CAP) IgE competition experiments performed with sera obtained from cat-allergic patients (n=36). A Fel d 1 cross-reactive dog allergen was characterized by one- and two-dimensional immunoblotting using rFel d 1 for IgE inhibition experiments and with monospecific, polyclonal rabbit anti-recombinant Fel d 1 antibodies. Results In 25% of Fel d 1-reactive cat-allergic patients, more than 50% inhibition of IgE reactivity to dog allergens was achieved with recombinant Fel d 1. An Fel d 1 cross-reactive 20 kDa allergen with a pI of approximately 3.4 was detected in Dander extracts of several different dog breeds. Conclusion This is the first report demonstrating the presence of an Fel d 1-like allergen in dog Dander extracts, which may be responsible for double positivity to cat and dog in serology. However, the clinical relevance of this cross-sensitization needs to be confirmed. These results are important for the diagnostic and therapeutic use of dog Dander allergen extracts.
Abraham Oduro - One of the best experts on this subject based on the ideXlab platform.
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high incidence of neonatal danger signs and its implications for postnatal care in ghana a cross sectional study
PLOS ONE, 2015Co-Authors: Sumiyo Okawa, Akira Shibanuma, Kimiyo Kikuchi, Margaret Gyapong, Evelyn K Ansah, Junko Yasuoka, Keiko Nanishi, Seth Owusuagyei, Yeetey Enuameh, Abraham OduroAbstract:BACKGROUND: Reducing neonatal mortality is a major public health priority in sub-Saharan Africa. Numerous studies have examined the determinants of neonatal mortality but few have explored neonatal danger signs which potentially cause morbidity. This study assessed danger signs observed in neonates at birth determined the correlations of multiple danger signs and complications between neonates and their mothers and identified factors associated with neonatal danger signs. METHODS: A cross-sectional study was conducted in three sites across Ghana between July and September in 2013. Using two-stage random sampling we recruited 1500 pairs of neonates and their mothers who had given birth within the preceding two years. We collected data on their socio-demographic characteristics utilization of maternal and neonatal health services and experiences with neonatal danger signs and maternal complications. We calculated the correlations of multiple danger signs and complications between neonates and their mothers and performed multiple logistic regression analysis to identify factors associated with neonatal danger signs. RESULTS: More than 25% of the neonates were born with danger signs. At-birth danger signs in neonates were correlated with maternal delivery complications (r = 0.20 p < 0.001) and neonatal complications within the first six weeks of life (r = 0.19 p < 0.001). However only 29.1% of neonates with danger signs received postnatal care in the first two days and 52.4% at two weeks of life. In addition to maternal complications during delivery maternal age less than 20 years maternal education level lower than secondary school and fewer than four antenatal care visits significantly predicted neonatal danger signs. CONCLUSIONS: Over a quarter of neonates are born with danger signs. Maternal factors can be used to predict neonatal health condition at birth. Management of maternal health and close medical attention to high-risk neonates are crucial to reduce neonatal morbidity in Ghana.
