scholarly journals Relationships of total COVID-19 cases and deaths with ten demographic, economic and social indicators

2020 ◽  
Author(s):  
Dimitar Valev
Keyword(s):  
Population Density ◽  
Statistical Significance ◽  
Social Indicators ◽  
Composite Index ◽  
Correlation Coefficients ◽  
Statistical Relationships ◽  
Student’S T ◽  
Relationship Of ◽  
The Relationship ◽  
Economic And Social Indicators

AbstractThe statistical relationships of total COVID-19 Cases and Deaths per million populations in 45 countries, where 85.8% of the world’s population lives with 10 demographic, economic and social indicators were studied. Data for 28 May 2020 were used in the main calculations. The relationship of Deaths per million population and total Cases per million population is very close and reaches correlation coefficient R = 0.926. It is interesting that the close correlations were found of Cases and Deaths per 1 million with a purely economic index like GDP PPP per capita, where R = 0.687 and R = 0.660, respectively. Even more close correlations were found of Cases and Deaths per 1 million with a composite index HDI, where the correlation coefficients reach 0.724 and 0.680, respectively. The main reason for these paradoxical results is the underestimation of pandemic restrictions in the form of masks, social distance and disinfection in most of these countries. Other indicators (excluding Gini index and Population Density) also show statistically significant correlations with Cases and Deaths per 1 million with correlation coefficients from 0.432 to 0.634. The statistical significance of the found correlations determined using Student’s t-test was p <0.0001. Surprisingly, there was no statistically significant correlation between Cases and Deaths with Population Density. To check whether there is a change in the correlations with the development of the pandemic, a statistical analysis was made for four different dates – 9 April, 28 May, 7 August and 30 November 2020. It was found that the correlation coefficients of COVID-19 cases and Deaths with the rest indicators decrease during the pandemic.

scholarly journals Correlation between L-Lactate Concentrations in Beef Cattle, Obtained Using a Hand-Held Lactate Analyzer and a Lactate Assay Colorimetric Kit

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 926
Author(s):  
Daniela M. Meléndez ◽  
Sonia Marti ◽  
Luigi Faucitano ◽  
Derek B. Haley ◽  
Timothy D. Schwinghamer ◽  
...  
Keyword(s):  
Statistical Significance ◽  
Road Transportation ◽  
Long Distance ◽  
Suitable Alternative ◽  
Blood Samples ◽  
Time Points ◽  
Pooled Data ◽  
Red Angus ◽  
Relationship Of ◽  
The Relationship

Lactate is a product of anaerobic glycolysis, used in animal research as an indicator of muscle fatigue. Therefore, it has been used as an indicator of cattle response to long distance transportation. The aim of this study was to assess the relationship of L-lactate concentrations measured using a Lactate Scout+ analyzer and a traditional lactate assay colorimetric kit. Blood samples were collected by venipuncture from 96 steers (Black or Red Angus × Hereford/Simmental and Black or Red Angus × Charolais; 247 ± 38.2 kg BW) prior to loading (LO1) and after 36 h of transport, and prior to reloading and after an additional 4 h of road transportation, and on d 1, 2, 3, 5, 14, and 28 after transport. The Lactate Scout+ analyzer strip was dipped in blood at the time of sampling, while blood samples were collected into sodium fluoride tubes for use in the colorimetric analysis. Pearson correlations were calculated to assess the strength of the relationship between the experimental methods for the quantification of L-lactate concentrations. The magnitude and direction of the correlation, and the level of statistical significance varied over the observed time points, ranging from r = −0.03 (p = 0.75; LO1) to r = 0.75 (p < 0.0001; d 3). The correlation for the pooled data was weak but statistically significant (r = 0.33, p < 0.0001). Based on the low magnitude of the correlation due to variability across sampling time points in this study, the Lactate Scout+ analyzer is not a suitable alternative to a lab-based assay (considered the gold standard) for measuring L-lactate in transported cattle.

scholarly journals PSVII-3 Correlations between L-lactate concentrations obtained using a handheld lactate analyser and a lactate assay colorimetric kit in beef cattle transported by road

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 296-297
Author(s):  
Daniela M Meléndez ◽  
Sonia Marti ◽  
Luigi Faucitano ◽  
Derek B Haley ◽  
Timothy D Schwinghamer ◽  
...  
Keyword(s):  
Statistical Significance ◽  
Cost Effective ◽  
Road Transportation ◽  
Long Distance ◽  
Suitable Alternative ◽  
Blood Samples ◽  
Handheld Device ◽  
Time Points ◽  
Relationship Of ◽  
The Relationship

Abstract Blood metabolites are used to assess a variety of animal conditions for veterinary diagnosis and research. Concentration of metabolites in blood can be measured using a commercially-available lab-based assay or in real-time using a handheld device developed to be more time- and cost-effective than the lab-based method. Lactate is a product of anaerobic glycolysis, used in animal research as an indicator of muscle fatigue. Therefore, it has been used as an indicator of cattle response to long distance transportation. The aim of this study was to assess the relationship of L-lactate concentrations measured using a Lactate Scout+ analyzer (Lactate Scout, EFK Diagnostics, Barleben, Germany) and a lactate assay colorimetric kit (Lactate Assay Kit, Cell Biolabs Inc., San Diego, CA). Blood samples were collected by venipuncture from 96 steers (245 ± 35.7 kg BW) prior to (L1) and after 36 h, and prior to and after an additional 4 h of road transportation, and on d 1, 2, 3, 5, 14, and 28 after transport. The Lactate Scout+ analyzer strip was dipped in blood at the time of sampling, while blood samples were collected into sodium fluoride tubes for use in colorimetric analysis. Pearson correlations were calculated to determine the relationship between the experimental methods for the quantification of L-lactate concentrations. The strengths and levels of statistical significance of the correlation varied over the observed time points, r = -0.03, P = 0.75 (L1) to r = 0.75, P = &lt; 0.0001 (d 3). The correlation for the pooled data was weak but statistically significant (r = 0.33, P &lt; 0.001). Based on the experimental results, the Lactate Scout+ analyzer is not a suitable alternative to a lab-based assay for measuring L-lactate in transported cattle, due to variability across sampling time points and weak correlation with the traditional enzymatic method.

Gradient Analysis on Occupational Safety in Mine and Economic and Social Development

2012 ◽  
Vol 524-527 ◽  
pp. 3107-3111
Author(s):  
Zhong An Jiang ◽  
Lan Jiang
Keyword(s):  
Growth Rate ◽  
Occupational Safety ◽  
Gradient Analysis ◽  
Social Indicators ◽  
Mining Industry ◽  
Mine Safety ◽  
Macroeconomic Policies ◽  
Mining Safety ◽  
The Relationship ◽  
Economic And Social Indicators

In order to explore the effect of macroeconomic policies on mine safety, selecting data of 36 economic and social indicators and occupational safety indicators in mining industry in recent 15 years. Then, based on the analysis of the traditional growth rate, processing dimensionless and benchmark correlation of data, the Average weights rank of economic and social indicators relative to the mining safety could finally be got. The advantage of gradient analysis is dropping the dimension interference of data, and using three progressive connective gradients to get the relationship between occupational safety indexes and economic and social indicators. Results of the analysis were also provided some references for the improvement of macroeconomic policy.

scholarly journals Food Markets: A Motivation-Based Segmentation of Tourists

2020 ◽  
Vol 17 (7) ◽  
pp. 2312 ◽  
Author(s):  
Ana Mᵃ Castillo-Canalejo ◽  
Sandra Mᵃ Sánchez-Cañizares ◽  
Luna Santos-Roldán ◽  
Guzmán Antonio Muñoz-Fernández
Keyword(s):  
Cluster Analysis ◽  
Food Markets ◽  
Economic Agents ◽  
Tourism Management ◽  
Branding Strategies ◽  
Student’S T ◽  
Relationship Of ◽  
The Relationship ◽  
New Strategies ◽  
Student’S T Test

Food markets are becoming popular as new spaces for recreation, and this research aims to discover the motivations driving the tourists that visit these markets. Factorial analysis, cluster analysis and Student’s t-test were applied on 456 surveys from two food markets in Córdoba (Spain). Three motivational factors were obtained: Gastronomic experience and novelty; hedonism and leisure; and the relationship of the experience with work. Segmenting and analyzing the profile of the tourist may help economic agents develop new strategies for the tourism management of a destination and more accurate marketing and branding strategies that target specific customers with a niche message. The study could help develop products that align with tourists’ motives to increase satisfaction and loyalty.

Validation of a Breastfeeding History Questionnaire for the Risk of In-Hospital Formula Supplementation Among Multiparous Women

2019 ◽  
Vol 35 (4) ◽  
pp. 665-671
Author(s):  
Whitney R. Bender ◽  
Nathanael C. Koelper ◽  
Mary D. Sammel ◽  
Celeste Durnwald
Keyword(s):  
Hospital Stay ◽  
Care Center ◽  
Tertiary Care ◽  
Categorical Variables ◽  
Chi Square ◽  
Multiparous Women ◽  
Chi Square Test ◽  
Student’S T ◽  
Relationship Of ◽  
The Relationship

Background: A woman’s prior breastfeeding history may influence future decisions regarding infant feeding. Few quantitative tools utilizing this information have been demonstrated to predict breastfeeding success. Research aim: To evaluate the efficacy of a prenatal breastfeeding history (BAP) questionnaire administered in prenatal care to predict in-hospital formula supplementation among multiparous women. Methods: This is a prospective observational study of multiparous women with singleton pregnancies who presented to a Baby-Friendly urban tertiary care center for 1st prenatal visit at < 20 weeks’ gestation. The BAP tool generates a numerical score, with higher score (≥ 2) indicating prior successful breastfeeding experiences. The primary outcome was occurrence of non-medically indicated formula supplementation during the postpartum hospital stay. Student’s t test and Pearson’s chi-square test were used to compare continuous and categorical variables. A multivariable logistic regression was performed to assess the relationship of BAP score to formula supplementation. Of 587 women screened, 433 (73.8%) mother–infant dyads were analyzed. Results: Rates of formula supplementation in women with BAP scores ≤ 1 were 67% (156/234) compared with 37% (73/199) in women with higher scores ( p < 0.0001). After controlling for race/ethnicity, insurance, and obesity, women with BAP scores of ≤ 1 were 2.6 times more likely to supplement formula than women with higher scores (a OR 2.62, 95% CI [1.70, 4.04], p < .0001). Conclusion: In this prospective validation study, women with negative prior breastfeeding experiences, as evidenced by a lower BAP score, were more likely to supplement formula during the postpartum hospital stay.

scholarly journals Physiological and anthropometric determinants of critical power, W′ and the reconstitution of W′ in trained and untrained male cyclists

2020 ◽  
Vol 120 (11) ◽  
pp. 2349-2359 ◽  
Author(s):  
Alan Chorley ◽  
Richard P. Bott ◽  
Simon Marwood ◽  
Kevin L. Lamb
Keyword(s):  
Aerobic Fitness ◽  
Maximal Exercise ◽  
Critical Power ◽  
Correlation Coefficients ◽  
Trained Group ◽  
Anthropometric Characteristics ◽  
Pearson's Correlation ◽  
Key Aspects ◽  
Relationship Of ◽  
The Relationship

Abstract Purpose This study examined the relationship of physiological and anthropometric characteristics with parameters of the critical power (CP) model, and in particular the reconstitution of W′ following successive bouts of maximal exercise, amongst trained and untrained cyclists. Methods Twenty male adults (trained nine; untrained 11; age 39 ± 15 year; mass 74.7 ± 8.7 kg; V̇O2max 58.0 ± 8.7 mL kg−1 min−1) completed three incremental ramps (20 W min−1) to exhaustion interspersed with 2-min recoveries. Pearson’s correlation coefficients were used to assess relationships for W′ reconstitution after the first recovery (W′rec1), the delta in W′ reconstituted between recoveries (∆W′rec), CP and W′. Results CP was strongly related to V̇O2max for both trained (r = 0.82) and untrained participants (r = 0.71), whereas W′ was related to V̇O2max when both groups were considered together (r = 0.54). W′rec1 was strongly related to V̇O2max for the trained (r = 0.81) but not untrained (r = 0.18); similarly, ∆W′rec was strongly related to V̇O2max (r = − 0.85) and CP (r = − 0.71) in the trained group only. Conclusions Notable physiological relationships between parameters of aerobic fitness and the measurements of W′ reconstitution were observed, which differed among groups. The amount of W′ reconstitution and the maintenance of W′ reconstitution that occurred with repeated bouts of maximal exercise were found to be related to key measures of aerobic fitness such as CP and V̇O2max. This data demonstrates that trained cyclists wishing to improve their rate of W′ reconstitution following repeated efforts should focus training on improving key aspects of aerobic fitness such as V̇O2max and CP.

THE INFLUENCE OF SOME PHYSICAL AND CHEMICAL PROPERTIES ON SOIL AGGREGATION AND RESPONSE TO VAMA

1966 ◽  
Vol 46 (2) ◽  
pp. 155-160 ◽  
Author(s):  
G. R. Saini ◽  
A. A. MacLean ◽  
J. J. Doyle
Keyword(s):  
Organic Matter ◽  
Soil Properties ◽  
Chemical Properties ◽  
Correlation Coefficients ◽  
Multiple Correlation Coefficient ◽  
Mean Weight Diameter ◽  
The Mean ◽  
Relationship Of ◽  
Physical And Chemical ◽  
The Relationship

The relationship of the mean weight diameter of water-stable aggregates to certain soil properties (clay, organic matter, free iron, free aluminum, and polysaccharide contents) and the relationship of the increase in aggregation caused by VAMA to the same properties of 24 New Brunswick soils were evaluated by correlation and regression analyses.Simple correlation coefficients relating aggregation to soil properties indicated that organic matter (r = 0.627), polysaccharides (r = 0.602), and aluminum (r = 0.679) were the most important factors. However, when the influence of each factor was separated by partial correlation, the coefficients were not significant. On the other hand, the combined effects of all factors as indicated by the multiple correlation coefficient (r = 0.743) was significant at the 1% level. The effect of the same soil properties on response to VAMA, as shown by increase in mean weight diameter, indicated that clay exerted the greatest influence. The relationship with other factors was nonsignificant.

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