statistical variation
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Fuel ◽  
2022 ◽  
Vol 307 ◽  
pp. 121887
Author(s):  
Gengxin Zhang ◽  
Hongliang Luo ◽  
Kouhei Kita ◽  
Yoichi Ogata ◽  
Keiya Nishida

Homeopathy ◽  
2021 ◽  
Author(s):  
Lex Rutten ◽  
Anjali Miglani ◽  
Peter Gold ◽  
Raj Kumar Manchanda ◽  
Moumita Chakraborty ◽  
...  

Abstract Background/Objective During the coronavirus disease 2019 (COVID-19) pandemic, several homeopathic prognostic factor research (PFR) projects have been undertaken. We found two projects with comparable outcomes to assess consistency and possible flaws. Methods Two comparisons were made. (1) Outcome of a PFR data collection from the Liga Medicorum Homoeopathica Internationalis (LMHI) by about 100 doctors with 541 cases was compared with a previous analysis of 161 cases in the same database. (2) The updated LMHI database was also compared with a data collection carried out in India by four doctors with a total of 1,445 cases. Differences that resulted in conflicting outcomes (indication in one, contraindication in the other) were examined for possible causes. Results There was only a single outcome in the updated LMHI database that conflicted with the previous dataset, and this could have been due to statistical variation. The Indian data contained many cases, from few doctors, while the LMHI database had few cases per doctor, but many doctors. The overlap between the projects (individual cases entered in both) was between zero and 22%. In 72 comparisons we found six (8.3%) conflicting outcomes. Possible causes were statistical error due to small numbers of cases and/or observers, confirmation bias, and keynote prescribing if this resulted in symptoms being inadequately checked. Conclusion There was little conflict between the outcomes of the two versions of one project and between the two different PFR projects. Differences could mostly be explained by causes that can be managed. This consistency should primarily be interpreted as showing a strong overall consensus between homeopathic practitioners worldwide, but with variation of consensus between small groups of practitioners.


2021 ◽  
Author(s):  
Anneli Pajunen ◽  
Mari Honko

The topic of the book is the incremental growth of linguistic knowledge from lexical to structural-cum-textual during the so-called later language development. Language mastery does not presuppose any acquaintance with prescriptive grammar but, instead, concerns the core of language which the so-called consensus principle applies to: the most frequent words and structures are mastered with certainty by everybody, but uncertainty increases as less frequent and more variable phenomena are taken into consideration. It is the goal of the study to make explicit the knowledge that is common to school children of different age groups, and to show how it develops both in its core and in its fringe areas. The mastery of less common aspects exhibits considerable statistical variation. The research embodies methodological pluralism insofar as it has been carried out by means both of the corpus method and the experimental method. Here experimental subsumes writing tasks, paper-and-pencil tests, and behavior under experimental conditions. The amount of participants native in Finnish varies from 300–2000. The book has a bipartite structure: mastery of meanings (Part I), and mastery of forms (Part II).


2021 ◽  
pp. 245-252
Author(s):  
Sergey Aleksandrovich Makarenko

A comparative analysis of the varietal variability of the fruits of 71 varieties of apple trees of Altai selection in terms of biochemical composition, according to generally accepted methods using statistical variation analysis based on long-term research, was carried out. Correlations were revealed between the content of chemical elements depending on other characteristics of the fruit and the period of ripening. The average content of soluble dry matter in fruits is from an average 15.5% in summer varieties to a high 16.2–16.3% in varieties with autumn and winter ripening. On average, the content of total sugars in fruits is high and varies insignificantly from 12.7 to 12.9%, the content of titratable acids in fruits is high – 1.0%. The content of ascorbic acid is higher in fruits of varieties with summer ripening and is 24.0 mg / 100 g, with autumn – 19.6 mg / 100 g, with winter – 22.0 mg / 100 g. As a result of selection for the qualitative improvement of fruits apple trees in Altai revealed a negative correlation of the biochemistry of the fetus, depending on its size for all indicators. Fruits of a significant part of varieties created in Altai have good taste, of which 27 have a sugar-acid index of 15–25. The fruits of the varieties Alpek, Altai Velvet, Altai New Year, Altai ruddy, Altai sweet, Gornoaltayskoe, Zolotaya taiga, Pepinka Altai have a very high sugar content of more than 15%, a high value of the sum of sugars – in fruits of 59 varieties from 10.0 to 14.9%. Varieties with high biochemical characteristics are their sources in breeding for improved biochemical composition of fruits.


Author(s):  
Steven S. Poon ◽  
Benjamin J. Orr ◽  
Chinmay P. Joshi

Micromachines ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1145
Author(s):  
Kyung Min Koo ◽  
Woo Young Chung ◽  
Sang Yi Lee ◽  
Gyu Han Yoon ◽  
Woo Young Choi

With the downscaling in device sizes, process-induced parameter variation has emerged as one of the most serious problems. In particular, the parameter fluctuation of the dynamic random access memory (DRAM) sense amplifiers causes an offset voltage, leading to sensing failure. Previous studies indicate that the threshold voltage mismatch between the paired transistors of a sense amplifier is the most critical factor. In this study, virtual wafers were generated, including statistical VT variation. Then, we numerically investigate the prediction accuracy and reliability of the offset voltage of DRAM wafers using test point measurement for the first time. We expect that this study will be helpful in strengthening the in-line controllability of wafers to secure the DRAM sensing margin.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Gengxin ZHANG ◽  
Hongliang LUO ◽  
Kouhei KITA ◽  
Yoichi OGATA ◽  
Keiya NISHIDA

2021 ◽  
pp. 193229682110272
Author(s):  
George E. Saulnier ◽  
Janna C. Castro ◽  
Lanyu Mi ◽  
Curtiss B. Cook

Background: The use of inpatient location for the depiction of glycemic control is an alternative approach to the traditional analysis of hospital-derived glucometric data. Our aim was to develop a method of spatial representation and to test for corresponding statistical variation in inpatient glucose control data. Methods: Point-of-care blood glucose data from inpatients with diabetes mellitus were extracted. Calculations included patient-day weighted means (PDWMs) and percentage of patient hospital days with hypoglycemia. Results were overlaid onto hospital floor plans, and room numbers were used as geolocators to generate cross-sectional (2-dimensional) and perspective (3-dimensional) views of the data. Linear mixed and mixed-effects logistic regression models were used to compare the location effect and to assess statistical variation in the data after adjusting for age, sex, and severity of illness. Results: Visual inspection of cross-sectional and perspective maps demonstrated variation in glucometric outcomes across areas within the hospital. Statistical analysis confirmed significant variation between some hospital wings and floors. Conclusions: Spatial depiction of glucometric data within the hospital could yield insights into hot spots of poor glycemic control. Future studies on how to operationalize this approach, and whether this method of analysis can drive changes in glycemic management practices, need to be conducted.


2021 ◽  
pp. 205704732110064
Author(s):  
David Deacon ◽  
James Stanyer

Diversity is recognised as a significant criterion for appraising the democratic performance of media systems. This article begins by considering key conceptual debates that help differentiate types and levels of diversity. It then addresses a core methodological challenge in measuring diversity: how do we model statistical variation and difference when many measures of source and content diversity only attain the nominal level of measurement? We identify a range of obscure statistical indices developed in other fields that measure the strength of ‘qualitative variation’. Using original data, we compare the performance of five diversity indices and, on this basis, propose the creation of a more effective diversity average measure. The article concludes by outlining innovative strategies for drawing statistical inferences from these measures, using bootstrapping and permutation testing resampling. All statistical procedures are supported by a unique online resource developed for this article.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tarek Hadji ◽  
Salim Guettala ◽  
Michèle Quéneudec

Purpose The purpose of this paper is to present the modeling of statistical variation of experimental data using the design of experiments method to optimize the formulation of a high performance concrete (HPC) using materials that are locally available in Algeria. For this, two mineral additions (natural pozzolana and limestone filler [LF]) were used. Both additions are added by substitution of cement up to 25%. To better appreciate the effect of replacing a part of cement by natural pozzolana and LF and to optimize their combined effect on the characteristics of HPC, an effective analytical method is therefore needed to reach the required objective. Design/methodology/approach The experimental part of the study consisted of substituting a portion of cement by various proportions of these additions to assess their effects on the physico-mechanical characteristics of HPC. A mixture design with three factors and five levels was carried out. The JMP7 software was used to provide mathematical models for the statistical variation of measured values and to perform a statistical analysis. These models made it possible to show the contribution of the three factors and their interactions in the variation of the response. Findings The mixture design approach made it possible to visualize the influence of LF and pozzolanic filler (PF) on the physico-mechanical characteristics of HPC, the developed models present good correlation coefficients (R2 = 0.82) for all studied responses. The obtained results indicated that it is quite possible to substitute a part of cement with LF and PF in the formulation of a HPC. Thanks to the complementary effect between the two additions, the workability could be improved and the strengths drop could be avoided in the short, medium and long term. The optimization of mixture design factors based on the mathematical models was carried out to select the appropriate factors combinations; a good agreement between the experimental results and the predicted results was obtained. Originality/value The coefficient of PF in Cs28 model is closer to that of LF than in Cs7 model, thanks to the complementary effect between LF and PF at the age of 28 days. It was found that the optimal HPC14 concrete (10%LF–5%PF) provides the best compromise between the three responses. It is also worth noting that the use of these two local materials can reduce the manufacturing costs of HPC and reduce carbon dioxide emissions into the atmosphere. This can be an important economic and environmental alternative.


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