Investigation of factors affecting the seam slippage of garments

2019 ◽  
Vol 89 (21-22) ◽  
pp. 4756-4765
Author(s):  
Daoling Chen ◽  
Pengpeng Cheng
Keyword(s):  
Regression Analysis ◽  
Linear Equation ◽  
Linear Density ◽  
Breaking Strength ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Test Results ◽  
Factors Affecting ◽  
Polyester Material ◽  
Sewing Thread

Seam slippage often occurs with some garments during the process of wearing or washing, which not only affects the appearance of the garment but also influences garment quality. The purpose of this study is to find out the factors that affect the seam slippage of garments. In order to make the test results closer to those of the garment itself, this study first proposed to make the fabric into a Japanese woman's prototype sample, in order to simulate the garments produced by a garment enterprise. Then, according to standards GB/T 13772.2-2008/ISO 13936-2: 2004 and GB/T 21294-2014, samples were made and seam slippage at the armhole and side seam was tested. Experimental results reveal that the factors that cause the seam slippage of garments are the fabric, seam type and sewing thread. According to the regression analysis, the seam type has a significant effect on the seam slippage of the armhole and side seam, with Pearson correlation coefficients of −0.715 and −0.650, respectively. Thickness, weight, weft density and weave type of the fabric are also important in terms of seam slippage. The weight of the fabric is more significant than other factors; the significant values at the armhole and side seam are 0.009 and 0.002, respectively. In the linear equation, it is shown that weft breaking strength of the fabric only impacts the seam slippage at the side seam. Sewing thread is another important factor for the seam slippage of garments, and its influence on the armhole is obvious; the larger the sewing thread linear density of polyester material is, the smaller the seam slippage is.

scholarly journals Analysing Enabling Factors Affecting the On-site Productivity in Indian Construction Industry

2018 ◽  
Vol 49 (2) ◽  
pp. 185-193 ◽  
Author(s):  
Saurav Dixit
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Reliability Analysis ◽  
Construction Industry ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Research Paper ◽  
Site Productivity ◽  
Factors Affecting ◽  
Construction Productivity

The growth in construction productivity is low and do not continue for a long span of time. The purpose of the present research paper is to analyse the factors affecting on-site construction productivity in Indian construction industry. The tools used for the analysis are reliability analysis to check the consistency of the data, Pearson correlation analysis to mathematically validate the factor analysis, and linear regression analysis to propose a framework of factors affecting construction productivity. The findings of the reliability analysis concludes that the all the factors having a value of more than 0.67, which is considered to be good for the study, and the findings of the study conclude that the most significant 3 attributes grouped in linear regression analysis change in scope (R2), revision in drawings (R15), and response to change orders (R3) having maximum impact over the construction productivity. The research paper attempts to provide an insight and better understanding of the factors affecting on-site construction productivity in India and the ways and means to control and improve construction productivity of construction projects."This paper is the revised version of the paper that has been published in the proceedings of the Creative Construction Conference 2018: Dixit, S., Mandal, S. N., Thanikal, J. V, & Saurabh, K. (2018). Critical Analysis of Factors Affecting the on-site Productivity in Indian Construction Industry, (July), 38–45. https://doi.org/10.3311/CCC2018-006"

scholarly journals Verification of automated latex-enhanced particle immunoturbidimetric D-Dimer assays on different analytical platforms and comparability of test results

2020 ◽  
Vol 30 (3) ◽  
pp. 457-465
Author(s):  
Ivana Lapić ◽  
Snježana Prpić ◽  
Dunja Rogić ◽  
Renata Zadro ◽  
Vanja Raščanec ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Method Comparison ◽  
Rank Correlation ◽  
Correlation Coefficients ◽  
Test Results ◽  
Spearman’S Rank Correlation ◽  
Coefficients Of Variations ◽  
Analytical Platforms ◽  
D Dimer ◽  
Analytical Verification

Introduction: The aim of the study was the analytical verification of automated latex-enhanced particle immunoturbidimetric (LPIA) D-Dimer assay INNOVANCE D-dimer on Sysmex CS-5100 and Atellica COAG 360 analysers, and HemosIL D-dimer HS500 on ACL TOP 550, as well as the comparison with the enzyme-linked immunofluorescent assay (ELFA) on the miniVidas analyser. Materials and methods: Verification included assessment of within-run and between-run precision, bias, measurement uncertainty (MU), verification of the cut-off, method comparison between all assessed assays, and the reference commercial ELFA VIDAS D-Dimer Exclusion II. Results: Within-run coefficients of variations (CVs) ranged from 1.6% (Atellica COAG 360) to 7.9% (ACL TOP 550), while between-run CVs ranged from 1.7% (Sysmex CS-5100) to 6.9% (Atellica COAG 360). Spearman’s rank correlation coefficients were > 0.99 between LPIAs and ≥ 0.93 when comparing ELFA with LPIA. Passing-Bablok regression analysis yielded constant and proportional difference for comparison of ACL TOP 550 with both Sysmex CS-5100 and Atellica COAG360, and for miniVidas with Atellica COAG360. Small proportional difference was found between miniVidas and both Sysmex CS-5100 and ACL TOP 550. Calculated MUs using D-dimer HS 500 calibrator were 12.6% (Sysmex CS-5100) and 15.6% (Atellica COAG 360), while with INNOVANCE D-dimer calibrator 12.0% (Sysmex CS-5100), 10.0% (Atellica COAG 360) and 28.1% (ACL TOP 550). Excellent agreement of results was obtained, with occasional discrepancies near the cut-off. The cut-off (0.5 mg/L FEU) was confirmed. Conclusions: The obtained results prove satisfactory analytical performance of LPIAs, their high comparability and almost equal discriminatory characteristics, suggesting them as a valid alternative to ELFA.

scholarly journals Relationship between Water Activity and Moisture Content in Floral Honey

Foods ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 30 ◽  
Author(s):  
Chiachung Chen
Keyword(s):  
Regression Analysis ◽  
Moisture Content ◽  
Linear Equation ◽  
Water Activity ◽  
T Test ◽  
Regression Equations ◽  
Collection Site ◽  
Factors Affecting ◽  
Regression Parameters ◽  
The Relationship

The water activity (Aw) and moisture content (MC) data of floral honey at five temperatures were determined using the Aw method and it was found that temperature significantly affected the Aw/MC data. The linear equation could be used to express the relationship between Aw and MC of honeys. The empirical regression equations between parameters and temperature were established. To evaluate the factors affecting the Aw/MC data, we used categorical tests of regression analysis to assess the effect of the correlation between Aw and MC of honey and examined the factors affecting the regression parameters. Six datasets from five countries were selected from the literature. The significance of the levels of qualitative categories was tested by t-test. The slope of the relationship between Aw and MC was affected by the state of honey (liquid and crystallized). The intercepts were significantly affected by honey type (flower or honeydew), harvesting year, geographical collection site, botanical source and other factors. The outliers in the datasets significantly affected the results. With modern regression analysis, useful information on the correlation between Aw and MC could be found. The results indicated that no universal linear equation for Aw and MC could be used. The Aw value could be used as a criterion for the honey industry; then, the MC of honey could be calculated by the specific linear equation between Aw and MC.

Effect of fabric structural parameters and weaving conditions to warp tension of aramid fabrics for protective garments

2017 ◽  
Vol 88 (9) ◽  
pp. 987-1001 ◽  
Author(s):  
Seung Jin Kim ◽  
Hyun Ah Kim
Keyword(s):  
Regression Analysis ◽  
Linear Density ◽  
Structural Parameters ◽  
Factors Affecting ◽  
Fabric Density ◽  
Warp Tension ◽  
Measured Time ◽  
Plain Fabric ◽  
Aramid Fabrics ◽  
Weave Pattern

This study examined the weavability of technical fabrics according to the weave density coefficient (WDC) and loom settings, such as the weaving speed, front shedding angle, and fabric take-up speed using an aramid filament on a Dornier rapier loom (PTS 2/SC, Germany). For this purpose, the warp tension and its variations were measured, and are discussed in terms of the WDC and loom settings according to the measured time during weaving. Regression analysis of the effects of the WDC and loom settings on the measured warp tension was carried out. The measured mean warp tension increased with increasing yarn linear density and increased with increasing WDC. The measured mean warp tension in the twill fabric was higher than that of the plain fabric despite having the same WDC. The measured mean warp tension increased with an increasing shedding angle due to an increase in shedding height. The measured mean warp tension increased with increasing take-up speed. The measured warp tension variation according to the time during weaving ranged from 5 cN/thread to 13 cN/thread, irrespective of the yarn number, weave pattern, fabric density, and weaving conditions. Regression analysis revealed the shedding angle and WDC to be the most important factors affecting the measured warp tension, but the weaving speed also affects the warp tension at a high fabric cover factor.

scholarly journals The profitability of second-tier banks: essence and main influencing factors

2021 ◽  
Vol 101 (1) ◽  
pp. 36-47
Author(s):  
Zh.T. Yeveskina ◽  
Keyword(s):  
Regression Analysis ◽  
Pair Correlation ◽  
Correlation Coefficients ◽  
Net Income ◽  
Testing Hypotheses ◽  
Factors Affecting ◽  
Main Factors ◽  
Second Tier ◽  
The Republic ◽  
The Relationship

Object. In this article, based on the aggregate indicators of second-tier banks of the Republic of Kazakhstan, what factors and how they affect the net income of the bank is determined. Methods. During the analysis, a correlation-regression analysis of banking data was carried out using the Stata statistical package, and conclusions were drawn. Findings. To identify the factors that affect the profitability of banks, the interdependencies between the selected indicators were identified. The correlation analysis revealed the relationship between the selected factors and the bank's net income. The density of bonds was determined by testing hypotheses calculated based on pair correlation coefficients. Conclusions. The factor analysis carried out made it possible to identify the main factors affecting the bank's activities and assess the degree of their impact. As a result of the analysis of factors affecting the bank's income in the aggregate indicator of second-tier banks of the Republic of Kazakhstan, the compliance of the results obtained with the expected results was determined.

scholarly journals FAKTOR PENENTU KEPUTUSAN PEDAGANG MUSLIM DALAM PEMILIHAN MODEL PEMBIAYAAN LEMBAGA KEUANGAN (STUDI PADA TEMPAT PELELANGAN IKAN (TPI) DI KOTA GORONTALO)

2021 ◽  
Vol 2 (1) ◽  
pp. 27-42
Author(s):  
Iin Angraini Napu ◽  
Sofhian
Keyword(s):  
Regression Analysis ◽  
Psychological Factors ◽  
Pearson Correlation ◽  
Marketing Mix ◽  
Cultural Factors ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Perfect Correlation ◽  
Independent Variable

This study aims to determine the deciding factor ped decision a gang of Muslims in the fish auction Gorontalo province in the election financing financial instituted, with a sample of 68 respondents. This study uses multiple regression analysis tools on primary data. It is found that the traders' decisions have a positive and significant effect on marketing mix factors, socio-cultural factors, and psychological factors. The results of the correlation coefficient test for the Marketing Mix Factor, Socio- Cultural Factors, and Psychological Factors have a Pearson Correlation value of 0.986 this value proves that the Marketing Mix Factor, Socio- Cultural Factors, and Psychological Factors have a perfect correlation to the Decisions of Muslim Traders at Provincial Fish Auction Sites. Gorontalo . The coefficient of determination test results obtained the value of r 2 = 0.972. This value means that the variation of the independent variable can explain the dependent variable by 0.972 or it can be translated as 97.2 %, which means that 2.8 % is influenced by other factors not examined.

scholarly journals Factors Affecting The Level Of Financial Literation In College Student

2020 ◽  
Vol 2 (1) ◽  
pp. 15-23
Author(s):  
Havea Prama Silta ◽  
Ida Miharti
Keyword(s):  
Regression Analysis ◽  
College Student ◽  
Empirical Evidence ◽  
Financial Literacy ◽  
Test Results ◽  
Factors Affecting

This research is conducted to obtain empirical evidence that there are influences on financial literacy. The sample used in this research is college student in Faculty of Economic Andalas University. A regression analysis is used to test the hypothesis. Hypothetical test results show that there are no influences of gender, department, parent’s income and parent’s education on financial literacy, but only the year entry has an influence on financial literacy.

scholarly journals Organizational Culture, Awareness, and Nursing Practice of Infection Control among Nurses in the Emergency Departments

2021 ◽  
Vol 28 (2) ◽  
pp. 186-194
Author(s):  
Mi Young Lee ◽  
Jin-Hee Park
Keyword(s):  
Emergency Department ◽  
Organizational Culture ◽  
Regression Analysis ◽  
Infection Control ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Nursing Practice ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Hospital Data

Purpose: Hospital-acquired infections, common in developing countries, are a leading cause of morbidity and mortality. This study was done to examine the effects of organizational culture and awareness of infection control on nursing practice of infection control by nurses working in emergency departments.Methods: This descriptive correlational study was conducted with 135 nurses from the emergency department of a hospital. Data were collected from December 23, 2019, to January 14, 2020, using a structured questionnaire. Collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and multiple regression analysis with SPSS/WIN 18.0.Results: The mean score of organizational culture, awareness, nursing practice of infection control were 5.56±0.78 out of 7, 4.66±0.36 out of 5 and 4.51±0.38 out of 5, respectively. The multiple regression analysis demonstrated that awareness and organizational culture of infection control accounted for 43% of the nursing practice of infection control.Conclusion: Study findings showed that there is a significant correlation between organizational culture, awareness, and nursing practice of infection control in the emergency department. Therefore, to improve nursing practices infection control in the emergency department, efforts should be made to promote infection control by developing education programs that can improve infection control awareness as well as strategies for a positive organizational culture.

Single- versus multiple-item assessment of quality of life in patients with advanced cancer

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e20528-e20528
Author(s):  
S. H. Bush ◽  
H. A. Parsons ◽  
J. L. Palmer ◽  
R. Chacko ◽  
Z. Li ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Well Being ◽  
Pearson Correlation Coefficient ◽  
Spearman Correlation ◽  
Symptom Intensity

e20528 Background: The main objective of palliative cancer care is to improve quality of life (QOL). As multiple dimensions impact on the construct of QOL, multi-dimensional instruments are usually used in its measurement. These are time consuming and burdensome for repeated use. Recent authors have suggested that brief single-item global assessments can provide a reliable measure of QOL. We assessed the performance of the Edmonton Symptom Assessment System ‘feeling of well-being’ item (ESAS WB) using the Functional Assessment of Cancer Therapy - General (FACT-G) instrument as a gold standard. Methods: After obtaining IRB approval, we reviewed the data from 213 advanced cancer patients who had participated in six studies from March 2006 to June 2008 and determined the level of association between baseline ESAS WB and FACT-G total score and subscale domains (Physical (Pwb), Social/Family (Swb), Emotional (Ewb), and Functional (Fwb) Well-Being) and also the 9 ESAS symptom intensity scores using Spearman correlation coefficients. We also calculated the change between the baseline (T1) and second (T2) observations of ESAS WB and of FACT-G total score and determined their level of association using a Pearson correlation coefficient. In addition, we predicted the change in FACT-G as predicted by the change in ESAS WB score using regression analysis. Results: Mean age was 60 (SD 12) years and 48% were female. At T1, the Spearman correlation coefficient of ESAS WB and FACT-G was -0.48 (p<0.0001). Spearman correlation coefficients for ESAS WB and FACT-G subscale domains and ESAS symptom intensity scores were also highly significant (p<0.0001) for all physical and emotional symptoms (other than p=0.003 for nausea) except for FACT Swb (p=0.08). The Pearson correlation coefficient for difference between T1 and T2 in ESAS WB and FACT-G for 146 patients was -0.36 (p<0.0001). The regression analysis was highly significant (p<0.0001). The change in ESAS WB corresponding to FACT-G published minimally important difference (MID) was -0.24 for 3, -1.55 for 5, and -2.87 for 7, respectively. Conclusions: ESAS WB is a practical instrument for clinical use and best reflects the Pwb, Ewb and Fwb domains of FACT-G as compared to Swb. No significant financial relationships to disclose.

scholarly journals An Investigation of the Attitudes of Health & Safety Personnel toward Safety in Construction Projects

2019 ◽  
Author(s):  
Ahmad Ghorbani ◽  
Ahmad Soltanzadeh
Keyword(s):  
Factor Analysis ◽  
Work Experience ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
T Test ◽  
Test Results ◽  
Entire Study ◽  
Safety Attitudes ◽  
Significant Difference ◽  
Study Population

Background and objective: With the development of technology and its increased use, potential dangers in industrial environments has increased. The purpose of this study was to evaluate the attitudes of the Fajr Institute's Health & Safety Executive (HSE) personnel toward safety. Method: The study population consisted of HSE staff (n: 39). Data gathering tool in this descriptive-analytical study was a researcher-developed, 30-item questionnaire with acceptable validity (1.9) and reliability (0.87). Data were analyzed using the SPSS 19. Samples were selected by census sampling and the entire study population was studied. Statistical methods used were mean, variance, standard deviation, t-test, Pearson's correlation coefficient, and factor analysis. Result: The average age of the participants was 28.6 years, 56.5% of them were single and 43.5% married. The average work experience of the participants was 5.2 years. Bachelor's degree (54%) and Master's degree (23%) were the most and least frequent academic degrees, respectively. The Pearson correlation coefficients showed age and work experience were not correlated with safety attitudes. The t-test results showed there was a significant difference between the viewpoints of single and married workers and attitude variable (P<0.01).The t-test results also showed there was no significant difference between education level and attitude. Conclusion: According to the factor analysis results, items were classified into four categories: management factors, educational factors, communication factors, and regulatory factors.

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