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赋值比率算法在外汇交易预测分析上的运用研究
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作者 陶文福 《中国证券期货》 2010年第1X期42-45,共4页
本文通过引入Fibonacci数列及艾略特波浪理论,取艾略特波浪理论中的黄金系数运用的思想,寻找出一种更为简便实用的算法——赋值比率算法,并实现了很大程度上有效地运用于外汇交易预测分析中。
关键词 FIBONACCI数列 艾略特波浪理论 黄金系数 赋值比率算法
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Comparison of bacterial quantities in left and right colon biopsies and faeces 被引量:2
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作者 Anna Lyra Sofia Forssten +7 位作者 Peter Rolny Yvonne Wettergren Sampo J Lahtinen Krista Salli Lennart Cedgrd Elisabeth Odin Bengt Gustavsson Arthur C Ouwehand 《World Journal of Gastroenterology》 SCIE CAS CSCD 2012年第32期4404-4411,共8页
AIM:To compare quantities of predominant and pathogenic bacteria in mucosal and faecal samples.METHODS:Twenty patients undergoing diagnostic colonoscopy with endoscopically and histologically normal mucosa were recrui... AIM:To compare quantities of predominant and pathogenic bacteria in mucosal and faecal samples.METHODS:Twenty patients undergoing diagnostic colonoscopy with endoscopically and histologically normal mucosa were recruited to the study,14 subjects of which also supplied faecal(F) samples between 15 d to 105 d post colonoscopy.Mucosal biopsies were taken from each subject from the midportion of the ascending colon(right side samples,RM) and the sigmoid(left side samples,LM).Predominant intestinal and mucosal bacteria including clostridial 16S rRNA gene clusters Ⅳ and ⅩⅣab,Bacteroidetes,Enterobacteriaceae,Bifidobacterium spp.,Akkermansia muciniphila(A.muciniphila),Veillonella spp.,Collinsella spp.,Faecalibacterium prausnitzii(F.prausnitzii) and putative pathogens such asEscherichia coli(E.coli),Clostridium difficile(C.difficile),Helicobacter pylori(H.pylori) and Staphylococcus aureus(S.aureus) were analysed by quantitative polymerase chain reaction(qPCR).Host DNA was quantified from the mucosal samples with human glyceraldehyde 3-phosphate dehydrogenase gene targeting qPCR.Paired t tests and the Pearson correlation were applied for statistical analysis.RESULTS:The most prominent bacterial groups were clostridial groups Ⅳ and ⅩⅣa+b andBacteroidetes and bacterial species F.prausnitzii in both sample types.H.pylori and S.aureus were not detected and C.difficile was detected in only one mucosal sample and three faecal samples.E.coli was detected in less than half of the mucosal samples at both sites,but was present in all faecal samples.All detected bacteria,except Enterobacteriaceae,were present at higher levels in the faeces than in the mucosa,but the different locations in the colon presented comparable quantities(RM,LM and F followed byP 1 for RMvs F,P 2 for LMvs F andP 3 for RM vs LM:4.17 ± 0.60 log 10 /g,4.16 ± 0.56 log 10 /g,5.88 ± 1.92 log 10 /g,P 1 = 0.011,P 2 = 0.0069,P 3 = 0.9778 forA.muciniphila;6.25 ± 1.3 log 10 /g,6.09 ± 0.81 log 10 /g,8.84 ± 1.38 log 10 /g,P 1 < 0.0001,P 2 = 0.0002,P 3 = 0.6893 forBacteroidetes;5.27 ± 1.68 log 10 /g,5.38 ± 2.06 log 10 /g,8.20 ± 1.14 log 10 /g,P 1 < 0.0001,P 2 ≤ 0.0001,P 3 = 0.7535 forBifidobacterium spp.;6.44 ± 1.15 log 10 /g,6.07 ±1.45 log 10 /g,9.74 ±1.13 log 10 /g,P 1 < 0.0001,P 2 ≤ 0.0001,P 3 = 0.637 forClostridium cluster Ⅳ;6.65 ± 1.23 log 10 /g,6.57 ± 1.52 log 10 /g,9.13 ± 0.96 log 10 /g,P 1 < 0.0001,P 2 ≤ 0.0001,P 3 = 0.9317 forClostridium cluster ⅩⅣa;4.57 ± 1.44 log10/g,4.63 ± 1.34 log10/g,7.05 ± 2.48 log 10 /g,P 1 = 0.012,P 2 = 0.0357,P 3 = 0.7973 for Collinsella spp.;7.66 ± 1.50 log 10 /g,7.60 ± 1.05 log 10 /g,10.02 ± 2.02 log 10 /g,P 1 ≤ 0.0001,P 2 = 0.0013,P 3 = 0.9919 forF.prausnitzsii;6.17 ± 1.3 log 10 /g,5.85 ± 0.93 log 10 /g,7.25 ± 1.01 log 10 /g,P 1 = 0.0243,P 2 = 0.0319,P 3 = 0.6982 for Veillonella spp.;4.68 ± 1.21 log 10 /g,4.71 ± 0.83 log 10 /g,5.70 ± 2.00 log 10 /g,P 1 = 0.1927,P 2 = 0.0605,P 3 = 0.6476 forEnterobacteriaceae).TheBifidobacterium spp.counts correlated significantly between mucosal sites and mucosal and faecal samples(Pearson correlation coefficients 0.62,P = 0.040 and 0.81,P = 0.005 between the right mucosal sample and faeces and the left mucosal sample and faeces,respectively).CONCLUSION:Non-invasive faecal samples do not reflect bacterial counts on the mucosa at the individual level,except for bifidobacteria often analysed in probiotic intervention studies. 展开更多
关键词 Gastrointestinal microbiota Mucosa Faeces Real-time quantitative polymerase chain reaction Sampling
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基于高跟鞋鞋跟高度的合理性判断
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作者 曲广军 《湖南农机》 2014年第3期125-126,共2页
文章将舒适度作为约速条件,将穿上高跟鞋后人的黄金分割系数尽可能接近黄金分割率作为目标函数,把这个双目标模型转化成单目标模型,然后我们对人穿上高跟鞋后的脚进行受力分析,得到约束条件的函数表达式,从而对此优化模型进行求解.最后... 文章将舒适度作为约速条件,将穿上高跟鞋后人的黄金分割系数尽可能接近黄金分割率作为目标函数,把这个双目标模型转化成单目标模型,然后我们对人穿上高跟鞋后的脚进行受力分析,得到约束条件的函数表达式,从而对此优化模型进行求解.最后我们给定一个具体身高和黄金分割系数便可求得符合条件的高跟鞋的高度. 展开更多
关键词 黄金分割率 黄金分割系数 舒适度
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