statistical modelling
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Materials ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 536
Author(s):  
Jernej Klemenc ◽  
Gorazd Fajdiga

When wood is used as a structural material, the fact that it is a highly inhomogeneous material, which significantly affects its static and fatigue properties, presents a major challenge to engineers. In this paper, a novel approach to modelling the fatigue-life properties of wood is presented. In the model, the common inverse-power-law relationship between the structural amplitude loads and the corresponding number of load cycles to failure is augmented with the influence of the wood’s mass density, the loading direction and the processing lot. The model is based on the two-parametric conditional Weibull’s probability density function with a constant shape parameter and a scale parameter that is a function of the previously mentioned parameters. The proposed approach was validated using the example of experimental static and fatigue-strength data from spruce beams. It turned out that the newly presented model is capable of adequately replicating the spruce’s S-N curves with a scatter, despite the relatively scarce amount of experimental data, which came from different production lots that were loaded in different directions and had a significant variation in density. Based on the experimental data, the statistical model predicts that the lower density wood has better fatigue strength.


2022 ◽  
pp. 1-22
Author(s):  
Kirstie Canene-Adams ◽  
Ieva Laurie ◽  
Kavita Karnik ◽  
Brian Flynn ◽  
William Goodwin ◽  
...  

Abstract For improving human health, reformulation can be a tool as it allows individuals to consume products of choice while reducing intake of less desirable nutrients, such as sugars and fats, and potentially increasing intake of beneficial nutrients such as fibre. The potential effects of reformulating foods with increased fibre on diet and on health needs to be better understood. The objective of this statistical modelling study was to understand how fibre enrichment can affect the diet and health of consumers. The UK National Diet and Nutrition Survey (NDNS) datasets from 2014 - 2015 and 2015 - 2016 were utilised to evaluate intakes of fibre and Kilocalories with a dietary intake model. Foods and beverages eligible for fibre enrichment were identified (n = 915) based on EU legislation for fibre content claims. Those people who meet Dietary Reference Values (DRVs) and fibre enrichment health outcomes such as weight, cardiovascular disease and type 2 diabetes risk reductions were quantified pre and post fibre reformulation via Reynolds et al, D’Agostino et al, and QDiabetes algorithms, respectively. The fibre enrichment intervention showed a mean fibre intake in the UK of 19.9 g/day, signifying a 2.2 g/day increase from baseline. Modelling suggested that 5.9% of subjects could achieve a weight reduction, 72.2% a reduction in cardiovascular risk, and 71.7% a reduced risk of type 2 diabetes risk with fibre fortification (all p ≤ 0.05). This study gave a good overview of the potential public health benefits of reformulating food products using a straightforward enrichment scenario.


2022 ◽  
Author(s):  
Kei Sato ◽  
Rigel Suzuki ◽  
Daichi Yamasoba ◽  
Izumi Kimura ◽  
Lei Wang ◽  
...  

Abstract The emergence of a new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant, Omicron, is the most urgent concern in the global health in December 2021. Our statistical modelling estimates that Omicron is >3.0-fold and >5.6-fold more transmissible than Delta in South Africa and the UK, respectively. Intriguingly, cell culture experiments show that Omicron is less fusogenic than Delta and ancestral SARS-CoV-2. Although the spike (S) protein of Delta is efficiently cleaved into the two subunits, which facilitates cell-cell fusion, Omicron S is faintly cleaved. Further, in hamster model, Omicron shows decreased lung infectivity and is less pathogenic compared to Delta and ancestral SARS-CoV-2. Our data suggest that the efficacy of SARS-CoV-2 S cleavage and viral fusogenicity are closely associated with viral pathogenicity, and Omicron evolved to exhibit increased transmissibility and attenuated pathogenicity.


2022 ◽  
Vol 1215 (1) ◽  
pp. 012008
Author(s):  
I. A. Lomaka

Abstract The paper presents the formation of additional feedback in the loop of the attitude control system of a nanosatellite. Feedback is based on the assessment of the inertial characteristics of the nanosatellite. The influence of the accuracy of knowledge of the inertial characteristics of a nanosatellite on the formation of an optimal control law in the problem of reorientation was estimated. Statistical modelling has been carried out to assess the effectiveness of nanosatellite on-board sensors in the problem of identifying the inertial characteristics of a nanosatellite. Recommendations for the selection of sensor’s characteristics and time interval of data collection have been formulated.


2021 ◽  
Vol 12 (1) ◽  
pp. 267
Author(s):  
Azzam Barham ◽  
Mohd Suhaili Ismail ◽  
Maman Hermana

Hydrocarbons in self-sourced reservoirs are determined by the concentration and maturation of organic matter in sediments. As a result, lowering risk in unconventional resource research and development requires knowledge of hydrocarbon potentiality factors. The geochemical data for the Montney Formation samples studied suggest that it is a fair to good source rock with type IV kerogen that can generate gas in general. The statistical modelling of the analyzed data reveals a valuable technique for identifying characteristics, clusters, and linkages that affect source rock assessment. The Spearman’s correlation coefficient showed a good positive correlation between the total organic carbon (TOC) and free hydrocarbons (S1), generating potential (S2), and potential yield (GP). There was a weak correlation with the maturity index (Tmax) and hydrogen index (HI) and a highly negative correlation between the TOC and oxygen index (OI). On the other hand, the principal component analysis (PCA) showed the presence of three factors affecting the source rock evaluation. Factor 1 included TOC, S1, and S2, which are related to organic richness and hydrocarbon potentiality; factor 2 contained the production index (PI), and the generated CO2 (S3) was related to the organic matter source. Factor 3 included the Tmax and HI related to the type of organic matter and thermal maturity. In addition, the TwoStep cluster analysis separated the source rock in the study area into two major groups. Cluster 1 is characterized relatively by high HI, TOC, S1, S2, and PI, with Tmax < 455 °C indicating good source rock in the mature level with the capability to generate little oil and condensate gas. Cluster 2 is characterized by relatively low HI, TOC, S1, S2, and PI, with Tmax > 455 °C, indicating an over-mature source rock in the dry gas window.


Author(s):  
Kalivel Parameswari ◽  
M. Vijila ◽  
P. Jegathambal

This work was carried to compare the efficiency of Cu and Al electrodes in the elimination of Yellow 10 gw dye solution with the optimization of operative factors such as pH, NaCl, contact time, and current density in the electrocoagulation method. Analysis of variance (ANOVA) was used to assess the impact of these variables, with significance set at P<0.05. The data was statistically examined with Origin2021 and SPSS software, and significant differences between mean values were determined using analysis of variance (ANOVA). For each experiment, duplicates were kept, and the efficiency of Yellow 10 gw dye solution for those parameters was derived using analysis at a 5% level of significance. The utility of treated dye solutions using both the electrodes was tested on V.radiata in terms of germination percentage, root, and shoot length with distilled water as control. For all of the qualities examined, significant disparities were found among entries. The dye solution used with Al resulted in much higher germination (100%), root length (9.72 cm), and shoot length (24.5 cm).


Author(s):  
Leonel Santos-Barrios ◽  
Juan Felipe Núñez-Espinoza ◽  
Monica Elizama Ruiz-Torres ◽  
Tania Calva-Hernández ◽  
Carlos Galdino Martínez-García ◽  
...  

Objective: To determine socioeconomic relationships in backyard pig farms. Design/methodology/approximation: The farms studied had 1 to 8 sows. We used semi-structured questionnaires and periodic monitoring to collect data. We determined the cost of production with the general cost formula and calculated the countable effect of family labor. Two groups were established: Group 1) Young married couples; and Group 2) Elderly couples who have been married for a long time and who do not have married children. Social Network Analysis was used to determine the strength of those relationships. Results: Five socio-productive relations were discovered: 1) input supplier-producer; 2) piglet breeder-swineherd-butcher; 3) religious festivities-pigs; 4) season of the year-pig; and 5) producer-boar keeper. Income differed when family work was not counted. Limitations/implications: Results showed that it was possible to combine qualitative data and statistical modelling in studies about social and economic behavior of backyard pig farms and small-scale farms.


2021 ◽  
Vol 37 (1) ◽  
pp. 421-430
Author(s):  
Katarzyna Jakimiuk ◽  
Suat Sari ◽  
Robert Milewski ◽  
Claudiu T. Supuran ◽  
Didem Şöhretoğlu ◽  
...  

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