84 research outputs found
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Optimum design of reinforced concrete retaining walls with the flower pollination algorithm
The flower pollination algorithm (FPA) is anefficient metaheuristicoptimizationalgorithm mimickingthe pollinationprocessof flowering species. In this study, FPA is applied, for first time, to the optimum design of reinforced concrete (RC) cantilever retaining walls. It is foundthat FPA offers important savings with respect to conventional design approachesand that it outperformsgenetic algorithm (GA)andthe particle swarm optimization (PSO) algorithm in this designproblem.Furthermore, parameter tuning reveals that the best FPA performance is achieved for switch probability values ranging between 0.4 and 0.7, a population size of 20 individualsand aLévy flightstep sizescale factor of 0.5. Finally, parametric optimum designs show that theoptimumcost of RC retaining walls increases rapidly with the wallheight and smoothly with the magnitude of surcharge loadin
Current problems in serologically based diagnostic algorithm of HIV 1/2: The re-evaluation of immunodot blot assays in HIV 1/2 verification in Turkey
Activities of cefepime and five other antibiotics against nosocomial PER-1-type and/or OXA-10-type beta-lactamase-producing Pseudomonas aeruginosa and Acinetobacter spp. - J Antimicrob Chemother 1998; 42 : 269-270
Discovery and characterization of novel trans‐spliced products of human polyoma JC virus late transcripts from PML patients
Salmonella Spp. and Shigella Spp. detection via multiplex real-time PCR and discrimination via MALDI-TOF MS in different animal raw milk samples
Aims: The aim of this study was to provide epidemiological data about the presence of Salmonella spp. and Shigella spp. in raw milk samples collected from different animals. Methods: A total of 231 raw milk samples from 48 cows, 65 goats, 65 sheep, and 53 donkeys were studied. The ISO 6579:2002 and ISO 21567:2004 methods, antimicrobial susceptibility tests, and serotyping were performed. Species and subspecies discriminations were made via matrix-assisted laser desorption/ionization-time of flight mass spectrometry. After DNA isolation from all samples, Salmonella spp. and Shigella spp. were detected using real-time polymerase chain reaction (PCR) kits. Results: Five samples (2.16%) showed positivity out of 231 raw milk samples for Salmonella spp., and 2 (0.87%) samples were detected to be positive by multiplex real-time PCR design. Conclusion: We found that raw milk samples were not free of Salmonella spp. and Shigella spp. and need to be tested routinely to avoid public health problems. Rapid and reliable real-time PCR method can be developed and used for this purposes instead of slow bacterial culture processes
Diagnostic accuracy of anti-cyclic citrullinated peptide antibodies in juvenile idiopathic arthritis
Diagnostic accuracy of anti-cyclic citrullinated peptide antibodies in juvenile idiopathic arthritis
Objective: To correlate serum anti-cyclic citrullinated peptide antibodies (anti-CCP) levels with juvenile idiopathic arthritis (JIA) subtypes and with an erosive disease course
Cumulus cells and follicular fluid show alterations in bone morphogenic protein 15 (BMP-15), growth differentiation factor 9 (GDF-9), and oxidative status in patients with endometriosis
35th Annual Meeting of the European-Society-of-Human-Reproduction-and-Embryology (ESHRE) -- JUN 24-26, 2019 -- Vienna, AUSTRIAWOS: 000484057200599…European Soc Human Reprod & Embryo
Reduced Akkermansia muciniphila and Faecalibacterium prausnitzii levels in the gut microbiota of children with allergic asthma
Introduction and objectives: The amounts of Akkermansia muciniphila and Faecalibacterium prausnitzii in gut microbiota are reduced in patients with allergic diseases compared to healthy controls. We aimed to quantify levels of A. muciniphila and F. prausnitzii amounts using real-time quantitative PCR (qPCR) in the gut microbiota of children with allergic asthma and in healthy controls
SSR-based molecular analysis of economically important Turkish apricot cultivars
Turkey is not only the main apricot (Prunus armeniaca) producer and exporter in the world, but it also has a wide variety of apricot germplasms, owing to its close proximity to the centers of apricot origin. However, there is little or no genetic information on many apricot cultivars that are extensively cultivated in Turkey. We examined the genetic relatedness of 25 Turkish and four exotic apricot cultivars using SSR (simple sequence repeat) markers that were either previously developed for apricot, or for peach (P. persica), a close relative of apricot. Allele diversity (with an average allele number of 6.37) at the SSR loci and the heterozygosity rates (with an average Ho value of 0.648) of these cultivars were found to be higher than in previous studies that used the same loci for apricot. This fact might be attributed to the analysis of different numbers of accessions in the different studies. No correlations were found between the genetic relatedness and the geographical distributions of these cultivars. The data reported here will assist in the prevention of confusions in the apricot propagation and breeding in Turkey. The findings can also be directly compared with other studies that used the same SSR markers on apricot
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