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, and Anklam, E (2004), Method validation and reference materials, Accred Qual Assur, 9, 253 258 92 Fleming, J, Albus, H, Neidhart, B, and Wegschieder, W (1996), Glossary of analytical terms (IV), Accred Qual Assur, 1, 191 93 Thompson, M, Ellison, S L R, Fajgelj, A, Willets, P, and Wood, R (1999), Harmonised guidelines for the use of recovery information in analytical measurement, Pure Appl Chem, 71, 337 348 94 Vessman, J (1996), Selectivity or speci city Validation of analytical methods from the perspective of an analytical chemist in the pharmaceutical industry, J Pharm Biomed Anal, 14, 867 869 95 Analytical Methods Committee (1987), Recommendations for the de nition, estimation and use of the detection limit, Analyst, 112, 199 204 96 Fleming, J, Albus, H, Neidhart, B, and Wegschieder, W.

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Sep 1, 2014 · After I knew NPOI from friends the last time, I also tried to find some other free open-source libraries to operate Excel worksheets in C#. During ...

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The expiration dating period will be estimated by solving the corresponding quadratic equation (10) for each batch The major dif culty of using the quadratic equation is the estimation of the MSE for each batch The MSE estimate for each batch may be computed by performing a regression analysis for each batch; however, this approach may not be correct because there is no guarantee that each regression provides the same slope Thus, we recommend implementing the following approach Use results from the regression analysis of model (51) and compute the residuals for the entire model Extract the corresponding errors for each batch and compute the SSE for each batch using Equation (4) Use this result to calculate the MSE for each batch using Equation (6) and the sample size for the corresponding batch.

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In addition, extract the corresponding values of xij for each batch and compute x, and Sxx using Equation (4) Results from the described procedure are shown in Table 19 The quadratic equation for batch 1 can be written as 1 ( x 135)2 [90 (96369 03069 x)]2 19432 2(31476) + =0 1008 8 The reference point for this equation is xref = 207492 and the initial point to accomplish convergence is xref 6 The root for this equation is xR(1) = 1662 and the shelf life for batch 1 is xL(1) = 16 months Following a similar procedure the quadratic equation associated with batch 2 is 1 ( x 102857)2 [90 (97871 03069 x)]2 20152(06061) + =0 7 42943 The reference point for this equation is xref = 25.

To overcome the issues raised in Section 17.3.1, we borrow ideas from the papers mentioned above. First, we want a consistent strategy that can be employed whether or not the graph has changed dramatically, and this mitigates against the use of diffusive load balancing. Furthermore, we want to give the coarsening complete freedom to create the hierarchy of graphs and, in particular, allow nonlocal matching (i.e., the matching of vertices in different subdomains). However, we also need to control the vertex migration explicitly.

(1997) Glossary of analytical terms (VII), Accred Qual Assur, 2, 51 52 97 Huber, W (2003), Basic calculations about the limit of detection and its optimal determination, Accred Qual Assur, 8, 213 217 98 Kuselman, I, and Sherman, F (1999), Assessment of limits of detection and quanti cation using calculation of uncertainty in a new method for water determination, Accred Qual Assur, 4, 124 128 99 European Commission (EC), Council directive 96/23/EC of April, 29 1996, on measures to monitor certain substances and residues thereof in live animals and animal products and repealing directives 85/258/EEC and 86/469/EEC and decisions 89/187/EEC and 91/664/EEC, Off J Eur Commun, L125, 0010 0032, 23051996 100 European Commission (EC), Commission decision 2003/181/EC amending decision 2002/657/EC as regards the setting of minimum required performance limits (MRPLs) for certain residues in food of animal origin, Off J Eur Commun.

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