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Validation of QSAR models for legislative purposes

References OECD, Environmental Directorate (2004). Report from the Expert group on quantitative structure - activity relationships (Q)SAR on the principles of validation of (Q)SARs. (ENV/JM/MONO), series on Testing and Assessment, No. 49. Wold S. (1991). Validation of QSARs. Quant Struct-Act Relat   10 : 191-193. Eriksson L, Jaworska J, Worth AP, Cronin MTD, McDowell RM. (2003). Methods for reliability and uncertainty assessment and for applicability evaluations of classification

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Alternative methods in toxicology: pre-validated and validated methods

References Russell WMS, Burch RL. (1959). The Principles of Humane Experimental Technique. Methuen and Co., London, UK, 238pp. Worth AP, Balls H. (2004). The Principles of Validation and the ECVAM Validation. Process. ATLA   32 (Supplement 1): 623-629. Balls M, Blaauboer B, Brusick D, Frazier J, Lamb D, Pemberton M, Reinhardt C, Roberfroid M, Rosenkranz H, Schmid B, Spielmann H, Stammati A-L, Walum E. (1990a). Report and Recommendations of the CAAT/ERGATT Workshop on the

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ELISA validation and determination of cut-off level for chloramphenicol residues in honey

References 1. Commission Decision 2002/657/EC of 12 August 2002 implementing Council Directive 96/23/EC concerning the performance of analytical methods and the interpretation of results. O J 2002, L 221, pp. 8–36. 2. Commission Decision of 13 March 2003 amending Decision 2002/657/EC as regards the setting of minimum require performance limits (MRPLs) for certain residues in food animal origin 2003/18/EC. O J, 2003, L71. 3. Community Reference Laboratories Residues (CRLs) Guidelines for the Validation of Screening Methods for Residues of

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Development and validation of the HPLC method for varenicline determination in pharmaceutical preparation

cigarette smoking cessation. Int J Chron Obstruct Pulmon Dis., 3, 45, 2008. 5. Zatonski W. et al.: An uncontrolled trial of cytisine (Tabex) for smoking cessation. Tob Control., 15, 481, 2006. 6. Coe J.W. et al.: Varenicline: an alpha4beta2 nicotinic receptor partial agonist for smoking cessation. J Med Chem., 48, 3474, 2005. 7. Balaji M. et al.: Development and validation of related substances method for Varenicline and its impurities. Der Pharmacia Lettre., 8, 304, 2016. 8. Pujeri S.S., Khader A

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Validation of the Analytical Method for the Determination of Flavonoids in Broccoli

References Australian Pesticides & Veterinary Medicines Authority (APVMA). Guidelines for the validation of analy–tical methods for active constituent, agricultural and veterinary chemical products. October 2004. De Rijke E., Out P., Niessen W.M.A., Ariese F., Gooijer C., Brinkman U.A.T. 2006. Analytical separation and detection methods for flavonoids. J. Chromatogr. A 1112: 31-63. DOI: 10.1016/j.chroma.2006.01.019. Dixon R., Paiva N. 1995. Stress-induced phenylpro-panoid metabolism. Plant Cell 7: 1085-1097. DOI: 10.1105/tpc.7.7.1085. Duthie G., Crozier

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Development and Validation of the Questionnaire for the Evaluation of Knowledge about Herbal Preparations (QEK-HP)

: Theory and Applications (Applied Social Research Methods), 3th edition, SAGE Publications, Inc., Los Angeles, 2012. 23. Chen AY, Frankowski R, Bishop-Leone J et al.. The development and validation of a dysphagia-specific quality-of-lifequestionnaire for patients with head and neck cancer: the M. D. Anderson dysphagia inventory. Arch Otolaryngol Head Neck Surg 2001; 127: 870-6. 24. Bolarinwa OA. Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Niger Postgrad Med J 2015; 22: 195

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Validating Computational Cognitive Process Models across Multiple Timescales

., John, B. E., & Atwood, M. E. (1993). Project Ernestine: Validating GOMS for predicting and explaining real-world task performance. Human Computer Interaction., 8(3), 237-309. Gray, W. D., Schoelles, M., & Myers, C. W. (2002). Computational cognitive models ISO ecologically optimal strategies . Paper presented at the 46th Annual Conference of the Human Factors & Ergonomics Society, Baltimore, MD. Gunzelmann, G. F., Gross, J. B., Gluck, K. A., & Dinges, D. F. (2009). Sleep Deprivation and Sustained Attention

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Validation of a Method for Determining Cholesterol in Egg Yolks/ Walidacja metody oznaczania cholesterolu w żółtkach jaj

in diet on cows’ yield, milk composition and cholesterol level in milk and blood serum. Ann. Anim. Sci., 4: 43-55. Brzóska F. (2004 b). Effect of calcium salts of fatty acids and selenium on cows’ milk yield and composition. Ann. Anim. Sci., 4: 69-78. CIPAC 3807. Guidelines on method validation to be performed in support of analytical methods for agrochemical formulations. Retrieved June 16, 2012 from: http://www.cipac.org/document/Guidance%20Documents/validat.pdf Cywa - Benko K., Krawczyk J., Wężyk S. (2000). The level of

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Optimization, Validation and Application of UV-Vis Spectrophotometric-Colorimetric Methods for Determination of Trimethoprim in Different Medicinal Products

-369. http://dx.doi.org/10.1016/j.jpba.2005.01.005 PMid:15925233 18. Chatten, L.G., Stanley-Pons, B., McLeod, P. (1982). Electrochemical determination of trimethoprim. Analyst 107, 1026-103. http://dx.doi.org/10.1039/an9820701026 PMid:7149266 19. British Pharmacopoeia 2009, Volume I & II, p. 6201-6207. 20. ICH Harmonized tripartite guideline. Validation of analytical procedures: Text and methodology. Q2 (R1). (2005). International conference on harmonization of technical requirements for registration of pharmaceuticals for human use. 21. Miler, J

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An Internal Clustering Validation Index for Boolean Data

-738. 6. Rani, S., G. Sikka. Recent Techniques of Clustering of Time Series Data: A Survey. – International Journal of Computer Applications, Vol. 52 , 2012, No 15, pp. 1-9. 7. Liu, Y. Research on Internal Clustering Validation Measures. University of Science and Technology Beijing, 2012, pp. 16-20. 8. Kremer, H., P. Kranen, T. Jansen et al. An Effective Evaluation Measure for Clustering on Evolving Data Streams. – In: Proc. of 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2011, pp. 868-876. 9. Feng, X., S. Wu

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