Large-Scale Cellular Network Modeling From Population Data: An Empirical Analysis

The possibility of using simple and available methods for analyzing deodorants/antiperspirants has been studied. The gravimetric method was shown to have acceptable metrological characteristics under repeatability conditions when evaluating antiperspirant activity. A decrease in the number of microorganisms (CFU) on the axilla skin was observed in a rinse test experiment 4 h and 8 h after the application of deodorants/antiperspirants. The microbial population data were inversely proportional to the antiperspirant activity values of the tested compositions. The sweat secretion reducing decreases the amount of nutrients required for microbial development, which makes it possible to use the rinse test to indirectly evaluate deodorant activity in research and development of personal care products. However, due to its laboriousness and the need for volunteers, the method cannot be recommended for large-scale testing. It was shown that the disc diffusion method (DDM) used to detect Staphylococcus aureus, Pseudomonas aeruginosa and Bacillus subtilis cannot be applied to the assessment of the intrinsic antimicrobial activity of the tested cosmetic compositions. This indicates the necessity of additional studies to select test microorganisms typical for the armpit area. In addition, DDM is useful if the deodorant effect of the composition is created by the addition of low-volatile antibacterial compounds. Therefore, microbiological methods have limited applications and are not suitable for widespread use. deodorant action; antiperspirant action, gravimetry, disc diffusion method, rinse test; deodorant; antiperspirant; cosmetic; efficiency; consumer properties, functional properties This work was supported by MUCTR (project no. K-2020-007).

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Multilevel Regression and Poststratification Versus Survey Sample Weighting for Estimating Population Quantities in Large Population Health Studies

American Journal of Epidemiology ◽

10.1093/aje/kwaa053 ◽

2020 ◽

Vol 189 (7) ◽

pp. 717-725 ◽

Cited By ~ 1

Author(s):

Marnie Downes ◽

John B Carlin

Keyword(s):

Population Health ◽

Large Scale ◽

Census Data ◽

Large Population ◽

Population Data ◽

Superior Performance ◽

Population Parameter ◽

Multilevel Regression ◽

Sample Weighting ◽

Survey Weighting

Abstract Multilevel regression and poststratification (MRP) is a model-based approach for estimating a population parameter of interest, generally from large-scale surveys. It has been shown to be effective in highly selected samples, which is particularly relevant to investigators of large-scale population health and epidemiologic surveys facing increasing difficulties in recruiting representative samples of participants. We aimed to further examine the accuracy and precision of MRP in a context where census data provided reasonable proxies for true population quantities of interest. We considered 2 outcomes from the baseline wave of the Ten to Men study (Australia, 2013–2014) and obtained relevant population data from the 2011 Australian Census. MRP was found to achieve generally superior performance relative to conventional survey weighting methods for the population as a whole and for population subsets of varying sizes. MRP resulted in less variability among estimates across population subsets relative to sample weighting, and there was some evidence of small gains in precision when using MRP, particularly for smaller population subsets. These findings offer further support for MRP as a promising analytical approach for addressing participation bias in the estimation of population descriptive quantities from large-scale health surveys and cohort studies.

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An empirical analysis of the valley of death: Large‐scale R&D project performance in a Japanese diversified company

Asian Journal of Technology Innovation ◽

10.1080/19761597.2006.9668620 ◽

2006 ◽

Vol 14 (2) ◽

pp. 93-116 ◽

Cited By ~ 25

Author(s):

Yoshitaka Osawa ◽

Kumiko Miyazaki

Keyword(s):

Empirical Analysis ◽

Large Scale ◽

Project Performance ◽

Valley Of Death

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The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use

Earth System Science Data ◽

10.5194/essd-11-1385-2019 ◽

2019 ◽

Vol 11 (3) ◽

pp. 1385-1409 ◽

Cited By ~ 36

Author(s):

Stefan Leyk ◽

Andrea E. Gaughan ◽

Susana B. Adamo ◽

Alex de Sherbinin ◽

Deborah Balk ◽

...

Keyword(s):

Large Scale ◽

Population Data ◽

Disaster Risk ◽

Spatial Allocation ◽

Quality Aspects ◽

Data Products ◽

Methodological Approaches ◽

Different Characteristics ◽

Population Counts ◽

Relative Quality

Abstract. Population data represent an essential component in studies focusing on human–nature interrelationships, disaster risk assessment and environmental health. Several recent efforts have produced global- and continental-extent gridded population data which are becoming increasingly popular among various research communities. However, these data products, which are of very different characteristics and based on different modeling assumptions, have never been systematically reviewed and compared, which may impede their appropriate use. This article fills this gap and presents, compares and discusses a set of large-scale (global and continental) gridded datasets representing population counts or densities. It focuses on data properties, methodological approaches and relative quality aspects that are important to fully understand the characteristics of the data with regard to the intended uses. Written by the data producers and members of the user community, through the lens of the “fitness for use” concept, the aim of this paper is to provide potential data users with the knowledge base needed to make informed decisions about the appropriateness of the data products available in relation to the target application and for critical analysis.

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Definição automática de áreas censitárias na freguesia de Algés

Finisterra ◽

10.18055/finis1577 ◽

2012 ◽

Vol 38 (75) ◽

Author(s):

Nelson Mileu

Keyword(s):

Large Scale ◽

Population Data ◽

Population Census ◽

Master Plan ◽

Reference Number ◽

Thiessen Polygon ◽

Socio Economic Variables ◽

Census Area ◽

Statistical Area ◽

Stable Unit

AUTOMATIC STATISTICAL AREA DEFINITION IN ALGÉS PARISH. Portugal, along with many other countries, conducts a population census every 10 years. This way of counting the population offers a detailed photography of the country where many socio-economic variables are captured. In this study, it is assumed that census will be the way of population data collection and therefore the discussion deals with the issue of geographical aggregation of individuals and households enumerated. In this context, a methodological proposal for an automatic census area creation in the parish of Algés is described. The minimum geographic unit for completing the aggregations is the building since it was the smallest and stable unit for this purpose. The building layer was obtained in the municipal GIS of Oeiras and is based on large scale cartography (1:1000). Mainly, because the building layer is not contiguous, the study starts with the construction of a Thiessen polygon layer. This layer is drawn with the buildings layer centroids and having the master plan classes as barriers. The Thiessen polygon layer associated with the building attributes assumed a key role in this process and considering the range of possible data aggregation alternatives the zone boundaries are drawn concerning with some principles of consistence and homogeneity. To achieve a measurement of homogeneity for the statistical areas the variables used were the number of households, floors and type of building (residential, commercial, both). The automatic statistical area definition deals with the aggregation of the basic geographic units (Thiessen polygon layer), seeking for new optimized areas, considering the characteristics of the building and having a reference number of households around 100. To demonstrate the methodology used for the automatic statistical area definition, three simulation results are presented in this article.

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