Statelessness and Right to Nationality: Developing a Statelessness Determination Procedure in Nigeria

10.33540/712 ◽  
2021 ◽  
Author(s):  
◽  
Solomon Oseghale Mr. Momoh
Keyword(s):  
Determination Procedure

scholarly journals Towards an improvement of optically stimulated luminescence (OSL) age uncertainties: modelling OSL ages with systematic errors, stratigraphic constraints and radiocarbon ages using the R package BayLum

Geochronology ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 229-245
Author(s):  
Guillaume Guérin ◽  
Christelle Lahaye ◽  
Maryam Heydari ◽  
Martin Autzen ◽  
Jan-Pieter Buylaert ◽  
...  
Keyword(s):  
R Package ◽  
Systematic Errors ◽  
Covariance Matrices ◽  
Optically Stimulated Luminescence ◽  
Osl Dating ◽  
Dose Rates ◽  
Determination Procedure ◽  
Single Grain ◽  
Measurement Uncertainties ◽  
Osl Age

Abstract. Statistical analysis has become increasingly important in optically stimulated luminescence (OSL) dating since it has become possible to measure signals at the single-grain scale. The accuracy of large chronological datasets can benefit from the inclusion, in chronological modelling, of stratigraphic constraints and shared systematic errors. Recently, a number of Bayesian models have been developed for OSL age calculation; the R package “BayLum” presented herein allows different models of this type to be implemented, particularly for samples in stratigraphic order which share systematic errors. We first show how to introduce stratigraphic constraints in BayLum; then, we focus on the construction, based on measurement uncertainties, of dose covariance matrices to account for systematic errors specific to OSL dating. The nature (systematic versus random) of errors affecting OSL ages is discussed, based – as an example – on the dose rate determination procedure at the IRAMAT-CRP2A laboratory (Bordeaux). The effects of the stratigraphic constraints and dose covariance matrices are illustrated on example datasets. In particular, the benefit of combining the modelling of systematic errors with independent ages, unaffected by these errors, is demonstrated. Finally, we discuss other common ways of estimating dose rates and how they may be taken into account in the covariance matrix by other potential users and laboratories. Test datasets are provided as a Supplement to the reader, together with an R markdown tutorial allowing the reproduction of all calculations and figures presented in this study.

THE DEVELOPMENT AND VALIDATION OF THE ARBUTIN DETERMINATION PROCEDURE IN THE BEARBERRY LEAVES BY HPLC/МS

2018 ◽  
Vol 21 (5) ◽  
Author(s):  
A.V. Nikulin ◽  
M.V. Okuneva ◽  
S.V. Goryainov ◽  
O.G. Potanina
Keyword(s):  
Determination Procedure ◽  
Development And Validation

determination procedure

2011 ◽  
Keyword(s):  
Determination Procedure

determination procedure

2000 ◽  
pp. 394-394
Author(s):  
Martin H. Weik
Keyword(s):  
Determination Procedure

High temperature thermal diffusivity determination procedure for solids and liquids

10.2514/3.209 ◽  
1990 ◽  
Vol 4 (4) ◽  
pp. 462-468 ◽  
Author(s):  
Yildiz Bayazitoglu ◽  
P. V. R. Suryanarayana ◽  
Udaya B. Sathuvalli
Keyword(s):  
High Temperature ◽  
Thermal Diffusivity ◽  
Determination Procedure

scholarly journals LASER FLASH THERMAL DIFFUSIVITY DETERMINATION PROCEDURE FOR HIGH-TEMPERATURE LIQUID METALS

1992 ◽  
Vol 22 (1) ◽  
pp. 109-120 ◽  
Author(s):  
Jennifer Murphy ◽  
Yildiz Bayazitoglu
Keyword(s):  
High Temperature ◽  
Thermal Diffusivity ◽  
Liquid Metals ◽  
Laser Flash ◽  
Determination Procedure ◽  
Temperature Liquid

Proposal of Determination Procedure About Fatigue Safety Factors for Arbitrary Best Fit Curves

2003 ◽  
Author(s):  
Nobuchika Kawasaki
Keyword(s):  
Fatigue Test ◽  
Surface Finish ◽  
Test Results ◽  
Safety Factors ◽  
Determination Procedure ◽  
The Difference ◽  
Best Fit

Fatigue safety factors cover not only the scattered range of fatigue test results obtained from test specimens, but also the difference in the fatigue lives between the test specimens and vessels / piping in plants. Therefore necessary safety factors have a relation to the accuracy of a best fit curve which is determined by the test results and the component’s conditions. This paper describes a determination procedure of fatigue safety factors for a new best fit curve so that designers can determine adequate safety factors for arbitrary best fit curves and material databases. This determination procedure is explained using a 316FR fatigue database, and the safety factors for new 316FR best fit curve are shown. These safety factors are estimated based on the accuracy of the best fit curve, and are calculated for each surface finish in the designed vessels and piping. Therefore the adoption of accurate best fit curves in limited conditions will result in smaller safety factors than the present code.

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