scholarly journals Relationship Between Carcass Weight, Muscle, Fat, and Predicted Lean Yield for Commercial Pigs in Ontario

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
R. S. Barducci ◽  
Z. Zhou ◽  
D. Tulpan ◽  
B. M. Bohrer
Keyword(s):  
Negative Correlation ◽  
Correlation Coefficients ◽  
Carcass Weight ◽  
Linear Regression Models ◽  
Strong Negative Correlation ◽  
Statistical Software ◽  
Carcass Parameters ◽  
Scatter Plots ◽  
Positive Correlations ◽  
Meaningful Relationships

ObjectivesGreater knowledge of variance and relationships of pork carcass parameters could be used to improve performance, efficiency, and profitability of the pork industry. Previous research has investigated the correlation between pork carcass parameters; however, there are still many misunderstandings, particularly in commercially representative pigs. Thus, the purpose of this study was to examine the correlation and variance of carcass weight, fat depth, muscle depth, and predicted lean yield in commercial pigs.Materials and MethodsThe second largest commercial pig slaughter facility in Ontario slaughtered approximately 1.5 million pigs in 2018. Carcass data (hot carcass weight, fat depth, muscle depth, and predicted lean yield) from 1025,572 pigs was used for this study with pigs slaughtered on each production day of 2018 (between January 2, 2018 and December 31, 2018). Hot carcass weight was reported immediately following slaughter as a head-on weight, and fat depth and muscle depth were measured with a Destron PG-100 probe (International Destron Technologies, Markham, Ontario). The equation used for predicted lean yield was the Canadian Lean Yield equation (CLY (%) = 68.1863– (0.7833 × fat depth) + (0.0689 × muscle depth) + (0.0080 × fat depth2) – (0.0002 × muscle depth2) + (0.0006 × fat depth × muscle depth). Pearson product moment correlation coefficients were calculated among all parameters using RStudio version 1.1.456 and R version 3.5.1 statistical software. Correlation coefficients were considered significantly different from 0 at P < 0.05. Correlations were considered weak (in absolute value) for r < 0.35, moderate for 0.36 ≤ r ≤ 0.67, and strong for r ≥ 0.68. Linear regression models were created between parameters that had meaningful relationships using the RStudio statistical software. Gnuplot version 5.2 was used to create scatter plots to allow for better visualization of the correlation between meaningful parameters.ResultsThe mean ± standard deviation for fat depth, muscle depth, hot carcass weight, and predicted lean yield were 18.27 ± 4.12 mm, 65.69 ± 9.06 mm, 105.93 ± 8.39 kg, and 61.03 ± 1.91%, respectively. We observed weak positive correlations between fat depth and hot carcass weight (r = 0.27; P < 0.0001), and between muscle depth and hot carcass weight (r = 0.17; P < 0.0001). We obtained a weak negative correlation between predicted lean yield and hot carcass weight (r = –0.21; P < 0.0001). The predicted lean yield equation used for this set of pigs included measurements for fat depth and muscle depth, so strong correlation between these parameters was expected. We obtained a moderate positive correlation between muscle depth and predicted lean yield (r = 0.39; P < 0.0001) and a strong negative correlation between fat depth and predicted lean yield (r = –0.96; P < 0.0001).ConclusionResults from this dataset revealed that hot carcass weight was generally not correlated with fat depth, muscle depth, or predicted lean yield. The conclusion of this study based on the current dataset is that pigs do not reach a weight threshold where they consistently become fatter or heavier muscled.

scholarly journals The relationship of pork carcass weight and leanness parameters in the Ontario commercial pork industry

2019 ◽  
Vol 4 (1) ◽  
pp. 331-338 ◽  
Author(s):  
Robson S Barducci ◽  
Ziyu Y Zhou ◽  
Lisa Wormsbecher ◽  
Colleen Roehrig ◽  
Dan Tulpan ◽  
...  
Keyword(s):  
Rank Order ◽  
Correlation Coefficients ◽  
Carcass Weight ◽  
Regression Equations ◽  
San Jose ◽  
Strong Negative Correlation ◽  
Pearson Product Moment Correlation ◽  
Positive Correlation ◽  
Scatter Plots ◽  
Relationship Of

Abstract This study aimed to examine the correlation of carcass weight, fat depth, muscle depth, and predicted lean yield in commercial pigs. Data were collected on 850,819 pork carcasses from the same pork processing facility between October 2017 and September 2018. Hot carcass weight was reported following slaughter as a head-on weight; while fat and muscle depth were measured with a Destron PG-100 probe and used for the calculation of predicted lean yield based on the Canadian Lean Yield (CLY) equation [CLY (%) = 68.1863 − (0.7833 × fat depth) + (0.0689 × muscle depth) + (0.0080 × fat depth2) − (0.0002 × muscle depth2) + (0.0006 × fat depth × muscle depth)]. Descriptive statistics, regression equations including coefficients of determination, and Pearson product moment correlation coefficients (when assumptions for linearity were met) and Spearman’s rank-order correlation coefficients (when assumptions for linearity were not met) were calculated for attributes using SigmaPlot, version 11 (Systat Software, Inc., San Jose, CA). Weak positive correlation was observed between hot carcass weight and fat depth (r = 0.289; P &lt; 0.0001), and between hot carcass weight and muscle depth (r = 0.176; P &lt; 0.0001). Weak negative correlations were observed between hot carcass weight and predicted lean yield (r = −0.235; P &lt; 0.0001), and between fat depth and muscle depth (r = −0.148; P &lt; 0.0001). Upon investigation of relationships between fat depth and predicted lean yield, and between muscle depth and predicted lean yield using scatter plots, it was determined that these relationships were not linear and therefore the assumptions of Pearson product moment correlation were not met. Thus, these relationships were expressed as nonlinear functions and Spearman’s rank-order correlation coefficients were used. A strong negative correlation was observed between fat depth and predicted lean yield (r = −0.960; P &lt; 0.0001), and a moderate positive correlation was observed between muscle depth and predicted lean yield (r = 0.406; P &lt; 0.0001). Results from this dataset revealed that hot carcass weight was generally weakly correlated (r &lt; |0.35|) with fat depth, muscle depth, and predicted lean yield. Therefore, it was concluded that there were no consistent weight thresholds where pigs were fatter or heavier muscled.

Negative correlation between retirement age and length of contribution?

2019 ◽  
Vol 71 (4) ◽  
pp. 1050-1070 ◽  
Author(s):  
Erik Granseth ◽  
Wolfgang Keck ◽  
Wolfgang Nagl ◽  
András Simonovits ◽  
Melinda Tir
Keyword(s):  
Negative Correlation ◽  
Pension System ◽  
Correlation Coefficients ◽  
Retirement Age ◽  
Strong Negative Correlation ◽  
Male And Female ◽  
Positive Correlation

Abstract Though never stated explicitly, there is a hidden hypothesis that in a normal pension system, the retirement age and the length of contribution are strongly and positively correlated. We compare the time paths of male and female correlation coefficients in Austria, Germany, Hungary and Sweden for several years and categories; and obtain a mixed picture. Hungary and Austria stand out with their strong negative correlation but the remaining two countries cannot boast with strongly positive correlation, either. Further work is needed to understand the significance of our findings but they signal some problems with these systems: heterogeneously fragmented careers and unfair benefit rules.

Psoriasis and metabolic syndrome: comorbidity mechanisms

2019 ◽  
Vol 1 (7) ◽  
pp. 34-38
Author(s):  
E. V. Dontsova ◽  
O. Yu. Olisova ◽  
L. S. Kruglova
Keyword(s):  
Metabolic Syndrome ◽  
Negative Correlation ◽  
Inflammatory Cytokine ◽  
Antioxidant Ability ◽  
Weak Correlation ◽  
Strong Negative Correlation ◽  
The Metabolic Syndrome ◽  
Diagnostic Signs ◽  
Weak Negative Correlation ◽  
Correlation Link

Objectives: to study communications of separate components of the metabolic syndrome (MS) and immune and oxidative characteristics of patients with psoriasis in combination with MS. Methods. The research included 312 patients with psoriasis having diagnostic signs of a metabolic syndrome. Biochemical and immunological researches were conducted by means of immunofermental and immunokhemilyuminestsentny analyses. Results. At patients with psoriasis at a combination to MS abdominal obesity, a giperleptinemiya, insulin resistance, high oxidizing potential and hyperactivity of interleukins (ILS) -1β,-6,-8, a factor of a necrosis of tumors an alpha (FNO-α), interferon scale (INF-γ) are noted. the waist circle’ is characteristic direct weak correlation with the pro-inflammatory tsitokina oxidized by lipoproteins of blood (LDL-ok) and with the general oxidizing ability of blood (OOS), weak negative correlation of an indicator - with the general antioxidant ability of blood (OAS) and superoxide dismutase (SOD). The HOMA-IR index has direct correlation link of moderate force with levels of a leptin of blood, LDL-ok, OOS, pro-inflammatory tsitokin, negative correlation of moderate force - with OAS, SOD. At patients with psoriasis with MS direct strong correlation link of level of a leptin of blood with activity of the studied pro-inflammatory cytokine, LDL-ok, OOS moderated is established with the level of insulin in the blood., the HOMA-IR index, strong negative correlation with OAS, SOD. Conclusion. Presence at patients with psoriasis of signs of a metabolic syndrome is followed by increase in activity of immune and inflammatory mechanisms, development of oxidative stress.

scholarly journals Comparison of Metrics Used to Track CLABSIs and CAUTIs Across a Regional Network

2020 ◽  
Vol 41 (S1) ◽  
pp. s178-s179
Author(s):  
Sonali Advani ◽  
Becky Smith ◽  
Jessica Seidelman ◽  
Nicholas Turner ◽  
Christopher Hostler ◽  
...  
Keyword(s):  
Negative Correlation ◽  
Urine Culture ◽  
Bloodstream Infections ◽  
Central Line ◽  
Regional Network ◽  
Community Hospitals ◽  
Scatter Plots ◽  
Preventable Harm ◽  
Device Use ◽  
Tract Infections

Background: The standardized infection ratio (SIR) is the nationally adopted metric used to track and compare catheter-associated urinary tract infections (CAUTIs) and central-line– associated bloodstream infections (CLABSIs). Despite its widespread use, the SIR may not be suitable for all settings and may not capture all catheter harm. Our objective was to look at the correlation between SIR and device use for CAUTIs and CLABSIs across community hospitals in a regional network. Methods: We compared SIR and SUR (standardized utilization ratio) for CAUTIs and CLABSIs across 43 hospitals in the Duke Infection Control Outreach Network (DICON) using a scatter plot and calculated an R2 value. Hospitals were stratified into large (>70,000 patient days), medium (30,000–70,000 patient days), and small hospitals (<30,000 patient days) based on DICON’s benchmarking for community hospitals. Results: We reviewed 24 small, 11 medium, and 8 large hospitals within DICON. Scatter plots for comparison of SIRs and SURs for CLABSIs and CAUTIs across our network hospitals are shown in Figs. 1 and 2. We detected a weak positive overall correlation between SIR and SUR for CLABSIs (0.33; R2 = 0.11), but no correlation between SIR and SUR for CAUTIs (−0.07; R2 = 0.00). Of 15 hospitals with SUR >1, 7 reported SIR <1 for CLABSIs, whereas 10 of 13 hospitals with SUR >1 reported SIR <1 for CAUTIs. Smaller hospitals showed a better correlation for CLABSI SIR and SUR (0.37) compared to medium and large hospitals (0.19 and 0.22, respectively). Conversely, smaller hospitals showed no correlation between CAUTI SIR and SUR, whereas medium and larger hospitals showed a negative correlation (−0.31 and −0.39, respectively). Conclusions: Our data reveal a weak positive correlation between SIR and SUR for CLABSIs, suggesting that central line use impacts CLABSI SIR to some extent. However, we detected no correlation between SIR and SUR for CAUTIs in smaller hospitals and a negative correlation for medium and large hospitals. Some hospitals with low CAUTI SIRs might actually have higher device use, and vice versa. Therefore, the SIR alone does not adequately reflect preventable harm related to urinary catheters. Public reporting of SIR may incentivize hospitals to focus more on urine culture stewardship rather than reducing device utilization.Funding: NoneDisclosures: None

Growth and Development of the Wheat Tiller. II. The Dynamics of Tiller Growth

1975 ◽  
Vol 23 (5) ◽  
pp. 745 ◽  
Author(s):  
RF Williams ◽  
RHM Langer
Keyword(s):  
Negative Correlation ◽  
Growth And Development ◽  
Critical Event ◽  
Vascular Differentiation ◽  
Strong Negative Correlation ◽  
Physical Constraints ◽  
Size Dependent ◽  
Bud Growth ◽  
Time Relation ◽  
Tiller Bud

From an analysis of the length-time relation for tiller growth in wheat it was concluded that tillers which emerged traced a discontinuous curve, and that the discontinuity marked a critical event in tiller growth. Tiller buds which did not emerge as tillers continued to grow even more slowly, at least until anthesis of the primary shoot. The critical event was identified as that of escape from the cavity in which the bud was tightly contained throughout early development. The timing of vascular differentiation in tiller buds was shown to be size-dependent and there was no evidence for any correlation with the critical event of escape. A strong negative correlation between the lengths of the 3rd tiller buds and their subtending internodes was established, and the presence or absence of the 4th tiller bud was also correlated with its internode length. Current hypotheses relating to apical dominance are reviewed, and it is suggested that the dynamic physical constraints implicit in tiller bud growth add a further complication. It was concluded that hormonal, nutritional and constraint mechanisms need to be integrated as partial mechanisms which interacted at the interfaces between successive levels within apical systems.

scholarly journals Spatial Variation of the Relationship between PM2.5Concentrations and Meteorological Parameters in China

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Gang Lin ◽  
Jingying Fu ◽  
Dong Jiang ◽  
Jianhua Wang ◽  
Qiao Wang ◽  
...  
Keyword(s):  
Negative Correlation ◽  
Meteorological Parameters ◽  
Semiarid Region ◽  
Strong Positive Correlation ◽  
Annual Average ◽  
Strong Negative Correlation ◽  
Positive Correlation ◽  
Humid Region ◽  
The Relationship ◽  
Warm Temperate

Epidemiological studies around the world have reported that fine particulate matter (PM2.5) is closely associated with human health. The distribution of PM2.5concentrations is influenced by multiple geographic and socioeconomic factors. Using a remote-sensing-derived PM2.5dataset, this paper explores the relationship between PM2.5concentrations and meteorological parameters and their spatial variance in China for the period 2001–2010. The spatial variations of the relationships between the annual average PM2.5, the annual average precipitation (AAP), and the annual average temperature (AAT) were evaluated using the Geographically Weighted Regression (GWR) model. The results indicated that PM2.5had a strong and stable correlation with meteorological parameters. In particular, PM2.5had a negative correlation with precipitation and a positive correlation with temperature. In addition, the relationship between the variables changed over space, and the strong negative correlation between PM2.5and the AAP mainly appeared in the warm temperate semihumid region and northern subtropical humid region in 2001 and 2010, with some localized differences. The strong positive correlation between the PM2.5and the AAT mainly occurred in the mid-temperate semiarid region, the humid, semihumid, and semiarid warm temperate regions, and the northern subtropical humid region in 2001 and 2010.

scholarly journals Organizational Factors as Predictors of Knowledge Management Practices in Federal University Libraries in Nigeria

2018 ◽  
Vol 13 (2) ◽  
pp. 48-69 ◽  
Author(s):  
Cyprian Ifeanyi Ugwu
Keyword(s):  
Knowledge Management ◽  
Management Practices ◽  
Correlation Coefficients ◽  
Organizational Factors ◽  
Management Tool ◽  
Management Support ◽  
University Libraries ◽  
Internal Reliability ◽  
Knowledge Management Practices ◽  
Positive Correlations

Abstract Objective – University libraries in Nigeria are facing challenges arising from poor funding, increasing user demands, and a competitive information environment. Knowledge management has been accepted by information professionals as a viable management tool, but issues surrounding its application require empirical investigation. The aim of this study is to determine the organizational factors that are correlates and predictors of knowledge management practices in federal university libraries in Nigeria. Methods – The study was based on a correlational research design. Twenty heads of university libraries in Nigeria responded to a structured questionnaire developed by the researcher. The questionnaire was validated by experts and its internal reliability was 0.78 obtained through Cronbach’s alpha procedures. The data collected were analyzed using Mean, Standard Deviation, One-Way ANOVA, Pearson’s Product Moment Correlation Coefficient, and regression analysis. Results – The study found that management support and collaboration were the most significant predictors of knowledge management practices in federal university libraries in Nigeria.  Even though human resources policy and rewards systems had positive correlations with knowledge management practices, their correlation coefficients were not significant. Conclusion – The success of knowledge management in university libraries in Nigeria depends on some contextual factors such as the support given by the management staff and the extent of collaboration among staff.

scholarly journals Repatriation turnover revisited: A focus on South African multinational enterprises

2018 ◽  
Vol 21 (1) ◽  
Author(s):  
Christiaan J. Naude ◽  
A. Johan Vogel
Keyword(s):  
South African ◽  
Quantitative Study ◽  
Negative Correlation ◽  
Multinational Enterprises ◽  
Multinational Enterprise ◽  
First Year ◽  
Turnover Rates ◽  
Expatriate Managers ◽  
Positive Correlations ◽  
Spearman’S Correlation

Background: The topic of repatriation turnover as a major source of concern for repatriates and their multinational enterprise has been covered extensively in the literature over the years, with the literature showing that between 15% and 38% of repatriated expatriates leave the employment of their multinational enterprise within the first year after repatriation. However, no such study has focused on the repatriation of South African expatriates. Aim: The primary aim of this study was to determine if there is a correlation between the repatriation practices of South African multinational enterprises and their repatriation turnover rates. The secondary aim of the study was to determine why repatriated employees leave the employment of South African multinational enterprises. Method: This quantitative study surveyed 41 expatriate managers of South African multinational enterprises, with the Mann-Whitney U test and Spearman’s correlation coefficient being used to test for correlations between the repatriation practices of South African multinational enterprises and their repatriation turnover rates. Results: The results revealed positive correlations between appointing a mentor to an expatriate to assist with the repatriation process, conducting an orientation programme prior to repatriation and supporting the expatriate with various initiatives during repatriation and lower repatriation turnover rates. Meanwhile a negative correlation was found between when a multinational enterprise starts with an orientation programme prior to repatriation and repatriation turnover rates. Conclusion: These findings provide valuable insights for South African multinational enterprises into practices they can employ to reduce their repatriation turnover rates.

scholarly journals Analysis of factors affecting the market capitalization of the largest oil companies in Russia

2021 ◽  
Vol 1 ◽  
pp. 142-149
Author(s):  
Vladimir Nikolaevich PODKORYTOV ◽  
◽  
Lyudmila Anatol’evna MOCHALOVA ◽  
Keyword(s):  
Raw Materials ◽  
Correlation Coefficients ◽  
Equity Capital ◽  
Linear Regression Models ◽  
Factors Affecting ◽  
Market Capitalization ◽  
Oil Companies ◽  
Operating Profit ◽  
Cost Factors ◽  
Oil Company

Relevance. The stock exchange prices of shares reflect the view from the market position of the value of a particular public company: the market capitalization of the issuing company acts as a value indicator. The volatility of stock prices, on the other hand, determines the dynamics of market capitalization. In this regard, the problem of market capitalization management and its forecasting in the future becomes urgent. Taking into account the raw materials orientation of the Russian economy, enterprises of the mineral raw materials complex are of particular interest from the point of view of value management. The purpose of the study is to identify the most significant external and internal cost factors affecting the market capitalization of the largest oil companies in Russia, and to calculate promising cost management models. Research methods. In the process of studying value factors on the basis of retrospective statistical data and methods of correlation analysis were used. Results. The correlation analysis of the following variables was carried out: price per 1 share of an oil company observed on the Moscow Exchange; the price of Brent crude oil; revenues from sales; operating profit; net profit; company assets; equity capital of the company. Based on the analysis, the factors with the highest correlation coefficients were selected in relation to the dependent variable “price per 1 share of an oil company observed on the Moscow Exchange”, as well as with relatively low values of pair correlation coefficients directly with each other in order to avoid the effect of multicollinearity. The variables included in the model are: the price of Brent crude; revenues from sales; operating profit; company assets; equity capital of the company. Linear regression models have been constructed for PAO Rosneft, PAO Lukoil, and PAO Tatneft. Conclusions. A detailed analysis of the obtained linear regression models taking into account the correlation coefficients, t-statistics, significance level values (P-values), determination coefficients R2, calculated values of F-criteria showed generally conflicting results. The most significant models are single-factor price models, in which sales revenue acts as an independent variable. Other models require their refinement through careful analysis and more observations. It is planned to continue research and search for cost factors that affect the change in market capitalization not only for oil companies but for other enterprises of the mineral resource complex as well.

scholarly journals The effects of cardiac rehabilitation on haemodynamic parameters measured by impedance cardiography in patients with coronary artery disease

2020 ◽  
pp. 126-126
Author(s):  
Milovan Stojanovic ◽  
Marina Deljanin-Ilic ◽  
Stevan Ilic ◽  
Dejan Petrovic ◽  
Bojan Ilic
Keyword(s):  
Coronary Artery Disease ◽  
Negative Correlation ◽  
Impedance Cardiography ◽  
Exercise Stress ◽  
Strong Positive Correlation ◽  
Physical Strain ◽  
Strong Negative Correlation ◽  
Positive Correlation ◽  
Strain Tolerance ◽  
Artery Disease

Background / Aim. Well-organized cardiovascular rehabilitation (CVR) reduces cardiovascular burden by influencing cardiovascular risk factors, improving the quality of life and reducing mortality and hospital readmission. However, its effects on hemodynamic status are largely unknown. The aim of our study was to evaluate the influence of three-week CVR program on hemodynamic status and to investigate if there is a correlation between physical strain tolerance and hemodynamic parameters measured by impedance cardiography (ICG) before and after CVR program in patients with coronary artery disease. Methods. Fifty-two patients attended a three-week CVR program. At the beginning and at the end of rehabilitation program laboratory tests, exercise stress tests (EST) and ICG measurements were taken. Results. Patients showed better strain tolerance on the second exercise stress test (EST2) by achieving higher strain level (Z=2,315; p=0,021) and longer duration of test (Z=2,305; p=0,021). There was a strong positive correlation between the level of EST2 and cardiac output (CO) (r=0,538; p<0,001) and stroke volume (SV) (r=0,380; p=0,017) on the second ICG (ICG2). Also, there was a strong negative correlation between EST2 level and systemic vascular resistance (SVR) (r=-0,472; p=0,002) and SVR index (SSVRI) (r=-0,407; p=0,010) on ICG2. There was a strong positive correlation between EST2 duration and CO (r=0.517; p=0.001) as well as between EST2 duration and SV (r=0.340; p=0.034), and a strong negative correlation between EST2 duration and SVR (r=-0.504; p=0.001) as well as between EST2 duration and SVRI (r=-0.448; p=0.004), according to ICG2. Conclusion. Our study showed that a well-designed CVR program can lead to better physical strain tolerance. Furthermore, CVR led to a significant positive correlation between EST and cardiac output as well as between EST and stroke volume measured by ICG. On the other hand, there was a significant negative correlation between EST and vascular related parameters according to ICG at the end of the CVR program.

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