scholarly journals Mass Modelling of Eggs Based on Shape Index Using Regression Analysis

2022 ◽  
Author(s):  
Manoj MAHAWAR ◽  
Ebubekir ALTUNTAŞ ◽  
Esra Nur GÜL
Keyword(s):  
Regression Analysis ◽  
Shape Index

scholarly journals A Machine Learning Access for Selectionof Influential Variables of Several ITK Inhibitors using Regression Research

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1867-1875
Keyword(s):  
Regression Analysis ◽  
Interleukin 2 ◽  
Shape Index ◽  
Multivariate Regression Analysis ◽  
Eosinophil Infiltration ◽  
Statistical Parameters ◽  
Variable Model ◽  
Explanatory Variables ◽  
Data Points ◽  
Inflation Factor

Introduction: Interleukin-2 inducible T-cell kinase (ITK) is a tyrosine kinase expressed in T-cells, NK cells and mast cells. Selective ITK inhibitors act as an immunosuppressive and anti-inflammatory agent reduces lung inflammation, eosinophil infiltration, and mucous production in response to induced allergic asthma. Methodology: A dataset of 142 ITK inhibitors as dependent variables with 32 properties of compounds as explanatory variables were studied for their multicollinearity prior multivariate regression analysis. After data normalization, an inter-correlation cutoff value of 0.75 resulted in 15 variables and regression analysis resulted in 0.641 r2 and 0.598 adjusted r2 with RMSE 0.634 respectively. As the statistical parameters are within the limits, outlying data was investigated. Results: The standardized residual analysis resulted in nine data points and a new regression model is attempted with n=133 and p=15 reported improves statistics. Further, stepwise and stepwise AIC regression followed by variance inflation factor analyzed on the dataset revealed only 7 variables as important in defining inhibitory activity of ITK. Permutation and combinations of 7 variables resulted in r2 value >0.6 for 5, 6 and 7 variables. Hence, to select the best model, FIT criterion was employed where a 5-variable model was judged as best model. Conclusion: Finally, it has been emphasized that increase in HOMO, H-Bond Donors and shape index with a concomitant decrease in number of phenyl groups and LUMO parameter favors ITK inhibition

scholarly journals Structural Characteristics of Patches in the Central Lika Landscape – Application of Spatial and Regression Analysis

2020 ◽  
Vol 19 (34) ◽  
pp. 14-39
Author(s):  
Marta Hamzić ◽  
Mladen Pahernik
Keyword(s):  
Regression Analysis ◽  
Landscape Structure ◽  
Structural Characteristics ◽  
Shape Index ◽  
Gis Technology ◽  
Area Index ◽  
Landscape Type ◽  
Landscape Types ◽  
Landscape Patches ◽  
Landscape Patch

This paper analyses the structural characteristics (shape, position and condition) of landscape patches in Central Lika according to landscape types and for the landscape of Central Lika as a whole. A set of indicators for the landscape structure was used along with GIS technology. Interrelation of the structural characteristics of landscape patches were determined using regression analysis. When determining the landscape types of Central Lika, a method based on land cover/land use was applied. For this purpose, data from the CORINE database for the year 2012 were used. At the level of the landscape type in Central Lika and the landscape of Central Lika as a whole, a set of indicators for the landscape structure were used, based on a variety of spatial analysis methods: Mean Shape Index – for the landscape patch shapes; Core Area Index – for the condition of the landscape patches, and Average Nearest Neighbour – for the position of the landscape patches. The most important result of this paper was to confirm the correlation between the shape and condition, and between the shape and position of the landscape patches of Central Lika, while no correlation between the condition and position of the landscape patches of Central Lika was found.

Regression Analysis of Count Data

1998 ◽  
Author(s):  
A. Colin Cameron ◽  
Pravin K. Trivedi
Keyword(s):  
Regression Analysis ◽  
Count Data

Poor Acceptance of the Past is Related to Depressive Symptoms in Older Adults

GeroPsych ◽  
2020 ◽  
Vol 33 (4) ◽  
pp. 246-251
Author(s):  
Gozde Cetinkol ◽  
Gulbahar Bastug ◽  
E. Tugba Ozel Kizil
Keyword(s):  
Older Adults ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Death Anxiety ◽  
Geriatric Depression ◽  
Ego Integrity ◽  
The Past ◽  
Depressed Group ◽  
Total Death ◽  
The Relationship

Abstract. Depression in older adults can be explained by Erikson’s theory on the conflict of ego integrity versus hopelessness. The study investigated the relationship between past acceptance, hopelessness, death anxiety, and depressive symptoms in 100 older (≥50 years) adults. The total Beck Hopelessness (BHS), Geriatric Depression (GDS), and Accepting the Past (ACPAST) subscale scores of the depressed group were higher, while the total Death Anxiety (DAS) and Reminiscing the Past (REM) subscale scores of both groups were similar. A regression analysis revealed that the BHS, DAS, and ACPAST predicted the GDS. Past acceptance seems to be important for ego integrity in older adults.

Measures of RSA Suppression, Attentional Control, and Negative Affect Predict Self-Ratings of Executive Functions

2011 ◽  
Vol 25 (4) ◽  
pp. 164-173 ◽  
Author(s):  
Brian Healy ◽  
Aaron Treadwell ◽  
Mandy Reagan
Keyword(s):  
College Students ◽  
Heart Rate ◽  
Regression Analysis ◽  
Individual Differences ◽  
Negative Affect ◽  
Respiratory Sinus Arrhythmia ◽  
Attentional Control ◽  
Executive Processes ◽  
Sinus Arrhythmia ◽  
Low Levels

The current study was an attempt to determine the degree to which the suppression of respiratory sinus arrhythmia (RSA) and attentional control were influential in the ability to engage various executive processes under high and low levels of negative affect. Ninety-four college students completed the Stroop Test while heart rate was being recorded. Estimates of the suppression of RSA were calculated from each participant in response to this test. The participants then completed self-ratings of attentional control, negative affect, and executive functioning. Regression analysis indicated that individual differences in estimates of the suppression of RSA, and ratings of attentional control were associated with the ability to employ executive processes but only when self-ratings of negative affect were low. An increase in negative affect compromised the ability to employ these strategies in the majority of participants. The data also suggest that high attentional control in conjunction with attenuated estimates of RSA suppression may increase the ability to use executive processes as negative affect increases.

Power, Conflict, and Effectiveness

2000 ◽  
Vol 5 (1) ◽  
pp. 28-33 ◽  
Author(s):  
M. Afzalur Rahim ◽  
David Antonioni ◽  
Krum Krumov ◽  
Snejana Ilieva
Keyword(s):  
United States ◽  
Regression Analysis ◽  
Interpersonal Conflict ◽  
The United States ◽  
Hierarchical Regression ◽  
Hierarchical Regression Analysis ◽  
Referent Power ◽  
Legitimate Power ◽  
Power Base ◽  
Effectiveness Data

This study investigated the relationships of bases of leader power (coercive, reward, legitimate, expert, and referent) and styles of handling interpersonal conflict (integrating, obliging, dominating, avoiding, and compromising) to subordinates' effectiveness. Data for this study were collected with questionnaires from the United States and Bulgaria and analyzed with hierarchical regression analysis for each country. Results indicated that in the United States referent power base of supervisors and integrating style of handling conflict of subordinates were positively associated with effectiveness. In Bulgaria, legitimate power base of supervisors was positively associated with effectiveness, but the subordinates' conflict styles were not associated with effectiveness.

Plasma Levels of Protein S, Protein C, and Factor X: Effects of Sex, Hormonal State and Age

1995 ◽  
Vol 74 (05) ◽  
pp. 1271-1275 ◽  
Author(s):  
C M A Henkens ◽  
V J J Bom ◽  
W van der Schaaf ◽  
P M Pelsma ◽  
C Th Smit Sibinga ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Postmenopausal Women ◽  
Protein C ◽  
Blood Donors ◽  
Premenopausal Women ◽  
Protein S ◽  
The Other ◽  
Factor X ◽  
Normal Ranges

SummaryWe measured total and free protein S (PS), protein C (PC) and factor X (FX) in 393 healthy blood donors to assess differences in relation to sex, hormonal state and age. All measured proteins were lower in women as compared to men, as were levels in premenopausal women as compared to postmenopausal women. Multiple regression analysis showed that both age and subgroup (men, pre- and postmenopausal women) were of significance for the levels of total and free PS and PC, the subgroup effect being caused by the differences between the premenopausal women and the other groups. This indicates a role of sex-hormones, most likely estrogens, in the regulation of levels of pro- and anticoagulant factors under physiologic conditions. These differences should be taken into account in daily clinical practice and may necessitate different normal ranges for men, pre- and postmenopausal women.

Influence of technology parameters of free-cutting steel continuous casting on the billet internal structure

2020 ◽  
Vol 76 (2) ◽  
pp. 139-142
Author(s):  
A. T. Kunakbaeva ◽  
A. M. Stolyarov ◽  
M. V. Potapova
Keyword(s):  
Regression Analysis ◽  
Continuous Casting ◽  
Internal Structure ◽  
Sulfur Content ◽  
Manganese Content ◽  
High Quality ◽  
Correlation And Regression Analysis ◽  
Cutting Steel ◽  
Continuously Cast

Free-cutting steel gains specific working properties thanks to the high content of sulfur and phosphorus. These elements, especially sulfur, have a rather high tendency to segregation. Therefore, segregation defects in free-cutting steel continuously cast billets can be significantly developed. The aim of the work was to study the influence of the chemical composition of freecutting steel and casting technological parameters on the quality of the macrostructure of continuously cast billets. A metallographic assessment of the internal structure of cast metal made of free-cutting steel and data processing by application of correlation and regression analysis were the research methods. The array of production data of 43 heats of free-cutting steel of grade A12 was studied. Steel casting on a five-strand radial type continuous casting machine was carried out by various methods of metal pouring from tundish into the molds. Metal of 19 heats was poured with an open stream, and 24 heats – by a closed stream through submerged nozzles with a vertical hole. High-quality billets had a cross-sectional size of 150×150 mm. The macrostructure of high-quality square billets made of free-cutting steel of A12 grade is characterized by the presence of central porosity, axial segregation and peripheral point contamination, the degree of development of which was in the range from 1.5 to 2.0 points, segregation cracks and strips – about 1.0 points. In the course of casting with an open stream, almost all of these defects are more developed comparing with the casting by a closed stream. As a result of correlation and regression analysis, linear dependences of the development degree of segregation cracks and strips both axial and angular on the sulfur content in steel and on the ratio of manganese content to sulfur content were established. The degree of these defects development increases with growing of sulfur content in steel of A12 grade. These defects had especially strong development when sulfur content in steel was of more than 0.10%. To improve the quality of cast metal, it is necessary to have the ratio of the manganese content to the sulfur content in the metal more than eight.

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