Single-/triple-stage biotrickling filter treating a H2S-rich biogas stream: Statistical analysis of the effect of empty bed retention time and liquid recirculation velocity

Eight captive white-tailed deer (Odocoileus virginianus) fawns were maintained on winter diets from 15 January to 31 March 1985 (i) to determine digesta retention time for primarily coniferous diets and (ii) to test the hypothesis that lichen consumption decreased retention time. Diets contained four conifers and either 0, 5, 15, or 25 % of a fruticose lichen component. Digesta retenton time was calculated using forages that were marked with ytterbium. Feces were collected up to 168 h postdosing, and subsamples were analyzed for ytterbium by atomic absorption spectrophotometry. Across all trials, total mean retention time ranged from 48.6 to 78.8 h. Five fawns in various trials cropped off their lateral abdominal pelage and thus introduced a treatment effect into our design that restricted our statistical analysis to data from two of four trials. Those data indicated that total mean retention time decreased as proportions of dietary lichen increased for noncroppers (P = 0.007) but not for croppers (P = 0.20).

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Pharmacokinetics of Cisplatin and its Metabolites Following Intravenous Administration in Cancer Patients of Bangladesh

KYAMC Journal ◽

10.3329/kyamcj.v9i3.38781 ◽

2018 ◽

Vol 9 (3) ◽

pp. 110-114

Author(s):

AKM Shahidur Rahman ◽

Anwar Ul Islam ◽

Mir Misbahuddin ◽

Nishat Parvin

Keyword(s):

Statistical Analysis ◽

Plasma Concentration ◽

Cancer Patients ◽

Intravenous Administration ◽

Retention Time ◽

Demographic Data ◽

Urinary Concentration ◽

Time Interval ◽

Dosing Interval ◽

The Mean

Background: To determine the mean bioavailability of cisplatin at different time interval after intravenous administration of cisplatin of 18-60 years old 50 male Bangladeshi cancer patients.Materials & Methods: Pharmacokinetic and demographic data were collected from 50 various types of male cancer patients received injection cisplatin 50 mg/m2 infusion for over 3 hours every alternate week for 3 weeks and mean population bioavailability were determined.Results: Statistical analysis from data of HPLC reported that the highest mean plasma concentration of cisplatin was found 428.32 μg/dl (±6.092) after 3 hours and highest mean urinary concentration of cisplatin was found 996.56μg/dl (±1.97) after 12 hours (P<0.05). Highest and lowest concentration of four suspected metabolites (CM2, CM3, CM4 and CM5) were identified in blood and corresponding urine with their specific RT (retention time) and Area (P<0.01) which suggestive of previous work.Conclusion: Following I/V administration plasma concentration of cisplatin at different time interval determined the proper dosing dosing interval of the drug and reduce toxicity.KYAMC Journal Vol. 9, No.-3, October 2018, Page 110-114

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The application of Box-Behnken-Design in the optimization of HPLC separation of fluoroquinolones

Scientific Reports ◽

10.1038/s41598-019-55761-z ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 4

Author(s):

Andrzej Czyrski ◽

Justyna Sznura

Keyword(s):

Statistical Analysis ◽

Retention Time ◽

Hplc Separation ◽

Box Behnken Design ◽

Relative Retention ◽

Time Symmetry ◽

Half Height ◽

Resolution Factor ◽

Level Of Significance ◽

Significant Factors

AbstractBox-Behnken Design is a useful tool for the optimization of the chromatographic analysis. The goal of this study was to select the most significant factors that influenced the following parameters of the chromatographic separation: retention time, relative retention time, symmetry of the peaks, tailing factor, a number of theoretical plates, Foley – Dorsey parameter, resolution factor, peak width at half height. The results underwent the ANOVA test to find the statistically significant variables and interactions between them. The level of significance was for p < 0.05. The polynomial equations described quantitatively the statistically significant parameters and the interactions between them. The statistical analysis indicated both the best conditions for the separation of the compounds and the variables that were most influential for peaks’ parameters. The four-factor analysis performed for LEVO and MOXI indicated that ACN, TEA and pH are the most significant factors that influence the separation. The analysis for the pair CIPRO and LEVO required six factors. The statistical analysis proved that the most significant factors are ACN, MeOH and TEA. In the separation of these two compounds on the HPLC column, the interaction ACN × MeOH was also significant.

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010013064x ◽

1992 ◽

Vol 50 (2) ◽

pp. 1202-1203

Author(s):

Gianluigi Botton ◽

Gilles L'espérance

Keyword(s):

Statistical Analysis ◽

Spatial Resolution ◽

Personal Computer ◽

Systematic Study ◽

Present Author ◽

Chemical Elements ◽

Detection Limits ◽

Research Groups ◽

Quantitative Performance ◽

Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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