scholarly journals Pressuremeter test in unsaturated soils: a numerical study

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Ehsan Keshmiri ◽  
Mohammad Mehdi Ahmadi
Keyword(s):  
Unsaturated Soils ◽  
Numerical Study ◽  
Relative Weight ◽  
Cavity Pressure ◽  
Pressuremeter Test ◽  
Basic Model ◽  
Limit Pressure ◽  
Analysis Technique ◽  
Weight Analysis ◽  
Soil Behaviour

AbstractThe paper presents a numerical analysis of pressuremeter test in unsaturated cohesive soils. In practice, pressuremeter is commonly expanded up to 10–15% cavity strains. At these strains, limit pressure is not usually reached, and its value is estimated by extrapolation. Accordingly, authors suggest using cavity pressure at 10% strain (P10) for the interpretation of pressuremeter test rather than limit pressure. At this strain, it is also assured that plastic strain occurs around the cavity, which is crucial for the interpretations. In unsaturated soils, the moisture at which a soil is tested has a noticeable influence on the pressuremeter cavity pressure, and consequently, on the magnitude of P10. In this paper, unsaturated soil behaviour has been captured by Barcelona basic model (BBM), and the influence of each BBM parameter on the P10 value is explored. Next, relative weight analysis technique is performed to investigate the relative importance of BBM parameters in prediction of P10. Artificial intelligence technique of genetic programming is used to develop a relationship to predict the P10 value in unsaturated soils from BBM parameters. Finally, the application of the proposed equation is shown through illustrative examples.

Differential Importance of Performance Dimensions: A Relative Weight Analysis

2012 ◽  
Author(s):  
Vanessa M. Lammers ◽  
Deborah Lee ◽  
Jenna C. Cox ◽  
Kathleen Frye ◽  
Jeffrey R. Labrador ◽  
...  
Keyword(s):  
Relative Weight ◽  
Weight Analysis ◽  
Performance Dimensions ◽  
Relative Weight Analysis

Burnout, depressive symptoms, job demands and satisfaction with life: discriminant validity and explained variance

2016 ◽  
Vol 47 (1) ◽  
pp. 46-59 ◽  
Author(s):  
Cara Thuynsma ◽  
Leon T de Beer
Keyword(s):  
Depressive Symptoms ◽  
Discriminant Validity ◽  
Satisfaction With Life ◽  
Relative Weight ◽  
Job Demands ◽  
Health Concern ◽  
Unique Contribution ◽  
Convenience Sample ◽  
Weight Analysis ◽  
Relative Weight Analysis

Burnout is considered an occupational health concern. The burnout–depression overlap is an important area of research as the foundations of burnout and its diagnostic value have come under increasing scrutiny, calling for burnout to not be classified as an independent disorder but rather as a subtype of depression. Furthermore, as burnout is defined as a work-specific syndrome, workplace factors have been argued to be the major indicators of burnout. Recent research however, calls this into question. This study seeks to establish the overlap between burnout and depressive symptoms and to determine if burnout is in fact a multi-domain phenomenon. A cross-sectional research design was used, a convenience sample of educators from the Gauteng province of South Africa was collected ( N = 399). Confirmatory factor analysis was applied in a structural equation modelling framework. Discriminant validity analysis was conducted by investigating the average variance extracted and the shared variance between constructs. Finally, relative weight analysis was conducted to ascertain the unique contribution explained by the work-specific and general life domain factors. Results showed that burnout could be distinguished from depressive symptoms. Job demands, depressive symptoms, and satisfaction with life all explained significant amounts of variance in the burnout construct. Relative weight analysis revealed that emotional load and depressive symptoms explained equal amounts of variance in burnout, but that the aggregated work-specific factors explained the most variance in burnout. This study indicates that burnout is a multi-domain phenomenon and not isolated to the domain of work. Further research is needed in this regard.

Factors Affecting NPAs in Indian Banking Sector

Paradigm ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 181-193
Author(s):  
Nitya Garg
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Banking Sector ◽  
Relative Weight ◽  
Multiple Regression Model ◽  
Factors Affecting ◽  
Weight Analysis ◽  
Specific Factors ◽  
Relative Weight Analysis ◽  
Bank Specific Factors

Banking sector is the backbone of any economy, so it is necessary to focus on its performance which is largely affected by its non-performing assets (NPAs). In the year 2018–2019, NPA of scheduled banks was Rs 355,076 Crore which is 3.7% of net advances. The purpose of this study is to identify the determinants based on analysis from previous literatures, and majorly macroeconomic and bank specific factors which are affecting NPAs using the relative weight analysis and to frame a model to predict future NPAs using multiple regression model using SPSS. The study also attempts to focus on actions and remedies that banks should make to control future NPAs. Findings of the study will act as a scaffolding for financial analysts and policymakers to prevent the conversion of its performing assets into NPAs and also help in proper management of banks and also in the recovery of economy.

Investigating the relationship between the relative age effect and leadership behaviors among male ice hockey players

2015 ◽  
Vol 52 (6) ◽  
pp. 751-768
Author(s):  
Laura Chittle ◽  
Sean Horton ◽  
Patricia Weir ◽  
Jess C Dixon
Keyword(s):  
Online Survey ◽  
Leadership Behaviors ◽  
Relative Weight ◽  
Ice Hockey ◽  
Relative Age ◽  
Relative Age Effect ◽  
Hockey Players ◽  
Weight Analysis ◽  
Male House

This study examined the role of relative age on leadership behaviors among male house league ice hockey players. Athletes completed an online survey that solicited their birthdate along with their responses to the leadership scale for sport. As expected, the results of our analyses revealed no relative age effects. Captains scored significantly higher on the training and instruction, democratic behavior and social support dimensions of the leadership scale for sport. While there were significant multivariate differences between birth quartile and the dimensions of leadership, a relative weight analysis revealed that quartile of birth did not differ significantly on any of these dimensions. Thus, male house league hockey players are not (dis)advantaged in terms of their leadership behaviors as a consequence of relative age.

scholarly journals Toward Understanding the Value of Missing Social Determinants of Health Data in Care Transition Planning

2020 ◽  
Vol 11 (04) ◽  
pp. 556-563
Author(s):  
Sue S. Feldman ◽  
Ganisher Davlyatov ◽  
Allyson G. Hall
Keyword(s):  
Social Determinants Of Health ◽  
Social Determinants ◽  
Transition Planning ◽  
Program Planning ◽  
Relative Weight ◽  
Determinants Of Health ◽  
Care Transition ◽  
Data Set ◽  
Independent Variables ◽  
Weight Analysis

Abstract Background Social determinants of health play an important role in the likelihood of readmission and therefore should be considered in care transition planning. Unfortunately, some social determinants that can be of value to care transition planners are missing in the electronic health record. Rather than trying to understand the value of data that are missing, decision makers often exclude these data. This exclusion can lead to failure to design appropriate care transition programs, leading to readmissions. Objectives This article examines the value of missing social determinants data to emergency department (ED) revisits, and subsequent readmissions. Methods A deidentified data set of 123,697 people (18+ years), with at least one ED visit in 2017 at the University of Alabama at Birmingham Medical Center was used. The dependent variable was all-cause 30-day revisits (yes/no), while the independent variables were missing/nonmissing status of the social determinants of health measures. Logistic regression was used to test the relationship between likelihood of revisits and social determinants of health variables. Moreover, relative weight analysis was used to identify relative importance of the independent variables. Results Twelve social determinants were found to be most often missing. Of those 12, only “lives with” (alone or with family/friends) had higher odds of ED revisits. However, relative logistic weight analysis suggested that “pain score” and “activities of daily living” (ADL) accounted for almost 50% of the relevance for ED revisits when compared among all 12 variables. Conclusion In the process of care transition planning, data that are documented are factored into the care transition plan. One of the most common challenges in health services practice is to understand the value of missing data in effective program planning. This study suggests that the data that are not documented (i.e., missing) could play an important role in care transition planning as a mechanism to reduce ED revisits and eventual readmission rates.

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