Chromatographic Applications in the Multi-Way Calibration Field

In this review, recent advances and applications using multi-way calibration protocols based on the processing of multi-dimensional chromatographic data are discussed. We first describe the various modes in which multi-way chromatographic data sets can be generated, including some important characteristics that should be taken into account for the selection of an adequate data processing model. We then discuss the different manners in which the collected instrumental data can be arranged, and the most usually applied models and algorithms for the decomposition of the data arrays. The latter activity leads to the estimation of surrogate variables (scores), useful for analyte quantitation in the presence of uncalibrated interferences, achieving the second-order advantage. Recent experimental reports based on multi-way liquid and gas chromatographic data are then reviewed. Finally, analytical figures of merit that should always accompany quantitative calibration reports are described.

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Towards unsupervised analysis of second-order chromatographic data: Automated selection of number of components in multivariate curve-resolution methods

Journal of Chromatography A ◽

10.1016/j.chroma.2007.03.005 ◽

2007 ◽

Vol 1158 (1-2) ◽

pp. 258-272 ◽

Cited By ~ 7

Author(s):

G. Vivó-Truyols ◽

J.R. Torres-Lapasió ◽

M.C. García-Alvarez-Coque ◽

P.J. Schoenmakers

Keyword(s):

Second Order ◽

Multivariate Curve Resolution ◽

Chromatographic Data ◽

Curve Resolution ◽

Number Of Components ◽

Unsupervised Analysis ◽

Selection Of

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Multicriteria Decision Analysis and Grouping of Analytical Procedures for Phthalates Determination in Disposable Baby Diapers

Molecules ◽

10.3390/molecules26227009 ◽

2021 ◽

Vol 26 (22) ◽

pp. 7009

Author(s):

Magdalena Fabjanowicz ◽

Justyna Płotka-Wasylka ◽

Marek Tobiszewski

Keyword(s):

Decision Analysis ◽

Multicriteria Decision Analysis ◽

Ideal Solution ◽

Green Analytical Chemistry ◽

Multicriteria Decision ◽

Figures Of Merit ◽

Order Preference ◽

Analytical Procedures ◽

Selection Of ◽

Analytical Figures Of Merit

This study presents the application of one of the tools from the multicriteria decision analysis set (MCDA), the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Selected green analytical chemistry metrics were used to rank analytical procedures for the phthalate determination in disposable baby diapers. Nine analytical procedures were assessed in order to find one that has the lowest environmental impact and the best analytical figures of merit. Nine different criteria, where weighting was based on the experts’ evaluation, were used in the procedures’ assessment. With the use of TOPSIS, an easy and straightforward technique, selection of the most appropriate procedure was made.

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FORMATION OF METASUBJECT COMPETENCIES IN THE COURSE “INFORMATION TECHNOLOGIES” BY MEANS OF THE BIG DATA PROCESSING LANGUAGE R

Informatics and Education ◽

10.32517/0234-0453-2019-34-4-12-22 ◽

2019 ◽

pp. 12-22

Author(s):

D. M. Nazarov

Keyword(s):

Data Processing ◽

Information Technologies ◽

Data Sets ◽

Training Methods ◽

Economic Knowledge ◽

R Language ◽

Currency Exchange ◽

Business Informatics ◽

Exchange Data ◽

Processing Language

The article describes the training methods in the course “Information Technologies” for the future bachelors of the directions “Economics”, “Management”, “Finance”, “Business Informatics”, the development of metasubject competencies of the student while his use of tools for data processing by means of the language R. The metasubject essence of the work is to update traditional economic knowledge and skills through various presentation forms of the same data sets. As part of the laboratory work described in the article, future bachelors learn to use the basic tools of the R language and acquire specific skills and abilities in R-Studio using the example of processing currency exchange data. The description of the methods is presented in the form of the traditional Key-by-Key technology, which is widely used in teaching information technologies.

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Selection of the efficient video data processing strategy based on the analysis of statistical digital images characteristics

Scientific journal of the Ternopil national technical university ◽

10.33108/visnyk_tntu2018.03.107 ◽

2018 ◽

Vol 91 (3) ◽

pp. 107-114

Author(s):

Mykhailo Palamar ◽

Myroslava Yavorska ◽

Mykhailo Strembitskyi ◽

Volodymyr Strembitskyi

Keyword(s):

Data Processing ◽

Digital Images ◽

Video Data ◽

Processing Strategy ◽

Efficient Video ◽

Selection Of

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Selection of one-dimensional sedimentation: models for on-line use

Water Science & Technology ◽

10.2166/wst.1995.0100 ◽

1995 ◽

Vol 31 (2) ◽

pp. 193-204 ◽

Cited By ~ 7

Author(s):

Koen Grijspeerdt ◽

Peter Vanrolleghem ◽

Willy Verstraete

Keyword(s):

Steady State ◽

Selection Criteria ◽

Data Sets ◽

Concentration Profiles ◽

A Posteriori ◽

One Dimensional ◽

On Line ◽

Dynamic Concentration ◽

Selection Of ◽

Modelling Task

A comparative study of several recently proposed one-dimensional sedimentation models has been made. This has been achieved by fitting these models to steady-state and dynamic concentration profiles obtained in a down-scaled secondary decanter. The models were evaluated with several a posteriori model selection criteria. Since the purpose of the modelling task is to do on-line simulations, the calculation time was used as one of the selection criteria. Finally, the practical identifiability of the models for the available data sets was also investigated. It could be concluded that the model of Takács et al. (1991) gave the most reliable results.

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Real-time Approximation of Photometric Polygonal Lights

Proceedings of the ACM on Computer Graphics and Interactive Techniques ◽

10.1145/3384537 ◽

2020 ◽

Vol 3 (1) ◽

pp. 1-18

Author(s):

Christian Luksch ◽

Lukas Prost ◽

Michael Wimmer

Keyword(s):

Real Time ◽

Specular Reflection ◽

Near Field ◽

Measurement Data ◽

Data Sets ◽

Photometric Measurement ◽

Integration Technique ◽

Time Approximation ◽

Light Emitter ◽

Selection Of

We present a real-time rendering technique for photometric polygonal lights. Our method uses a numerical integration technique based on a triangulation to calculate noise-free diffuse shading. We include a dynamic point in the triangulation that provides a continuous near-field illumination resembling the shape of the light emitter and its characteristics. We evaluate the accuracy of our approach with a diverse selection of photometric measurement data sets in a comprehensive benchmark framework. Furthermore, we provide an extension for specular reflection on surfaces with arbitrary roughness that facilitates the use of existing real-time shading techniques. Our technique is easy to integrate into real-time rendering systems and extends the range of possible applications with photometric area lights.

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Survey Data Quality in Analyzing Harmonized Indicators of Protest Behavior: A Survey Data Recycling Approach

American Behavioral Scientist ◽

10.1177/00027642211021623 ◽

2021 ◽

pp. 000276422110216

Author(s):

Kazimierz M. Slomczynski ◽

Irina Tomescu-Dubrow ◽

Ilona Wysmulek

Keyword(s):

Data Processing ◽

Data Quality ◽

Survey Data ◽

A Priori ◽

Data Sets ◽

New Approach ◽

Survey Quality ◽

Survey Error ◽

Ex Post ◽

The Impact

This article proposes a new approach to analyze protest participation measured in surveys of uneven quality. Because single international survey projects cover only a fraction of the world’s nations in specific periods, researchers increasingly turn to ex-post harmonization of different survey data sets not a priori designed as comparable. However, very few scholars systematically examine the impact of the survey data quality on substantive results. We argue that the variation in source data, especially deviations from standards of survey documentation, data processing, and computer files—proposed by methodologists of Total Survey Error, Survey Quality Monitoring, and Fitness for Intended Use—is important for analyzing protest behavior. In particular, we apply the Survey Data Recycling framework to investigate the extent to which indicators of attending demonstrations and signing petitions in 1,184 national survey projects are associated with measures of data quality, controlling for variability in the questionnaire items. We demonstrate that the null hypothesis of no impact of measures of survey quality on indicators of protest participation must be rejected. Measures of survey documentation, data processing, and computer records, taken together, explain over 5% of the intersurvey variance in the proportions of the populations attending demonstrations or signing petitions.

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