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| 1 | 气相色谱法测定黄瓜中丙溴磷农药残留量的测量不确定度评定显示文摘为评定检测方法NY/T 761-2008处理的黄瓜中丙溴磷农药残留检测结果的测量不确定度,找出对测量不确定度影响大的因素,规范实验操作,提高检测结果的准确性,本文通过外部加标,建立数学模型,从量器使用、标准工作液配制、重复性测量等各个分量进行评定。结果表明,丙溴磷残留量0.45 mg/kg,其扩展标准不确定度0.04 mg/kg,对测量不确定度有显著贡献的有三个方面:标准物质纯度的相对标准不确定度2%;使用6次移液器产生的相对标准不确定度2.661%;标准曲线拟合的相对标准不确定度1.615%。因此,在检测中,建议购买纯度在98.6%以上的标准溶液,做好贮存和期间核查;在配制标准工作液时,减少使用移液器的频次或使用更精密的量器且定期做好校准;按时做好测量仪器的检定和期间核查。 | 柴宗龙 袁彩霞 周鑫魁 洪霞 何海宁 Firuza Nasyrova 文岚 钱滢文 | 2020 | 食品工业科技2020，41，12： | 22 |
| 2 | Polymorphic variants on chromosomes probably play a significant role in infertility显示文摘 | Prochi F Madon Arundhati S Athalye Firuza R Parikh | 2005 | Reproductive BioMedicine Online2005，，： | 1 |
| 3 | Evaluation of high-dose-rate intraluminal brachytherapy by percutaneous transhepatic biliary drainage in the palliative management of malignant biliary obstruction—A pilot study显示文摘 | Rupali Aggarwal Firuza Darius Patel Rakesh Kapoor Mandeep Kang Pankaj Kumar Suresh Chander Sharma | 2012 | Brachytherapy2012，，： | 1 |
| 4 | The Electrodeposition of Rhenium in Alkaline and Acidic Elektrolytes显示文摘 | Elza Salakhova Vusala Majidzade Firuza Novruzova Parvana Kalantarova Ramila Husevnova | 2012 | Journal of Chemistry and Chemical Engineering2012，6，5： | 1 |
| 5 | Bivariate joint distribution analysis of the flood characteristics under semiparametric copula distribution framework for the Kelantan River basin in Malaysia显示文摘Flood is becoming the severe hydrologic issue at the Kelantan River basin in Malaysia.The joint distribution analysis amongst multiple interacting flood characteristics,i.e.,flood peak discharge flow,volume,and duration series usually provide a comprehensive understanding of the hydrologic risk assessments through visualizing the multivariate exceedance probability or return periods.The traditional copulas-based methodology is frequently employed under parametric settings where parametric family functions are often employed to model univari-ate marginal distribution before capturing their dependence structure.Actually,no universal rules and literature are imposed to model any flood vectors through any fixed or predefined density function,which would follow the different distribution and needs to model by fitting most parsimonious function.Also,the copula function already relaxes the restriction of selecting marginal distributions from the same distribution families.Therefore,incorporation of non-parametric kernel density estimations or KDE would be much stable and less biased smoothing alternatives than the parametric approach.In this literature,the semi-parametric copula-based methodology is incorporated,where the flood marginals are modelled under the kernel functions and applied as a case study for 50 years annual maximum(AM)flood samples of the Kelantan River basin at the Gulliemard Bridge gauge station in Malaysia.The Archimedean families copulas(i.e.,Frank,Gumbel and Clayton)and Elliptical copula(i.e.,Gaussian copula)are tested,and thus best-fitted copulas are employed to model the bivariate joint distribution amongst flood characteristics,and which further employed to derive joint and conditional return periods. | Shahid Latif Firuza Mustafa | 2021 | Journal of Ocean Engineering and Science2021，6，2： | 1 |
| 6 | Screening of Yeasts for Fermentation of Jerusalem Artichoke Tubers Juice and Selection of the Active Strains for Ethanol Production显示文摘Strains K.marxianus Y-303,Oenoferm credo,Oenoferm rouge,Sacch.vini Rkaseteli-6,Sacch.cerevisiae XII and Sacch.uvarum 73 were used for fermentation of juice,extracted from Jerusalem artichoke tubers grown in Uzbekistan.The fermentation process was carried out in laboratory conditions.Among these yeasts Oenoferm credo,Oenoferm rouge and Sacch.uvarum 73 showed higher performance than K.marxianus Y-303 and the ethanol yields were 92%,90%and 88%,respectively.After 72 h fermentation with Sacch.vini Rkaseteli-6 and Sacch.cerevisiae XII the yield of ethanol was 82%and 74%of maximum theoretical yield,respectively. | Sharifa Xakimova Akmaljon Boboev Firuza Rustambekova Sobira Abdurazakova | 2020 | Journal of Food Science and Engineering2020，10，1： | 0 |
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