Academic literature on the topic 'Moderated regression'
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Journal articles on the topic "Moderated regression"
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Tsung-Hao CHEN, Tsung-Hao CHEN, Yu-Lun SUN Tsung-Hao CHEN, Daniel Chan-wei TSAI Yu-Lun SUN, Yi-Mei HUANG Daniel Chan-wei TSAI, and Shijun ZHANG Yi-Mei HUANG. "Diagnosing and Mitigating Multicollinearity in Moderated Multiple Regression." 青年企業管理評論 17, no. 1 (2024): 009–22. http://dx.doi.org/10.53106/207308882024101701002.
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<p>This paper primarily explores the challenges associated with Moderated Multiple Regression Models, particularly how a moderator variable (m) influences the direction or strength of the relationship between an independent variable (x) and a dependent variable (Y). A significant issue arises when there is a high correlation between the independent variable and the moderator, leading to severe multicollinearity. That complicates the accurate estimation of the independent variables’ effects on the dependent variable (Myers, 1990). We develop five moderated multiple regression models with purpose of mitigating the multicollinearity in the analysis. Our empirical findings indicate that three of them perform good tested by the variance inflation factor and condition index. We finally suggest a process of standardizing both independent variable and moderator and taking the cross multiplication by those two standardized variables before conducting moderated multiple regression analysis.</p> <p>&nbsp;</p>
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Evans, Martin G. "On the use of moderated regression." Canadian Psychology/Psychologie canadienne 32, no. 2 (1991): 116–19. http://dx.doi.org/10.1037/h0078968.
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Cheung, Gordon W., and Chang Wang. "Methodological Artifacts in Moderated Multiple Regression: A Latent Moderated SEM Solution." Academy of Management Proceedings 2017, no. 1 (2017): 11149. http://dx.doi.org/10.5465/ambpp.2017.11149abstract.
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Aguinis, Herman, and Charles A. Pierce. "Statistical Power Computations for Detecting Dichotomous Moderator Variables with Moderated Multiple Regression." Educational and Psychological Measurement 58, no. 4 (1998): 668–76. http://dx.doi.org/10.1177/0013164498058004009.
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Evans, Martin G. "Moderated Regression: Legitimate Disagreement, Confusion and Misunderstanding." Journal of Information and Optimization Sciences 8, no. 3 (1987): 293–310. http://dx.doi.org/10.1080/02522667.1987.10698895.
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Landis, Ronald S., and William P. Dunlap. "Moderated Multiple Regression Tests are Criterion Specific." Organizational Research Methods 3, no. 3 (2000): 254–66. http://dx.doi.org/10.1177/109442810033003.
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Irwin, Julie R., and Gary H. McClelland. "Misleading Heuristics and Moderated Multiple Regression Models." Journal of Marketing Research 38, no. 1 (2001): 100–109. http://dx.doi.org/10.1509/jmkr.38.1.100.18835.
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Park, Sang-June, and Youjae Yi. "Decomposing main effects in moderated regression models." Journal of Business Research 157 (March 2023): 113577. http://dx.doi.org/10.1016/j.jbusres.2022.113577.
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Disatnik, David, and Liron Sivan. "The multicollinearity illusion in moderated regression analysis." Marketing Letters 27, no. 2 (2014): 403–8. http://dx.doi.org/10.1007/s11002-014-9339-5.
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Apriliani, Fajar, and Mohammad Rofiuddin. "Mengukur risiko pembiayaan terhadap pembiayaan murabahah dengan menggunakan moderated regression analysis." Journal of Accounting and Digital Finance 2, no. 2 (2022): 131–43. http://dx.doi.org/10.53088/jadfi.v2i2.367.
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This study analyzes the effect of capital adequacy and financing-to-deposit ratio profit margin on Murabaha financing with financing risk as a moderating variable. This study uses secondary data in the form of panel data. The population in this study were all Islamic Commercial Banks registered with the Financial Services Authority (OJK) for the 2016-2020 period, namely BRI Syariah Banks, BNI Syariah Banks, BCA Syariah Banks, Mandiri Syariah Banks, Muamalat Indonesia Banks, Mega Syariah Banks, Victoria Syariah Banks, Bank Panin Dubai Syariah, Bank Jabar Banten Syariah, Bank Syariah Bukopin. The sample of this study amounted to 10 Islamic Commercial Banks. The data analysis method approach used is Moderated Regression Analysis. The results of this study indicate that Capital Adequacy does not affect Murabahah Financing. FDR harms Murabaha Financing. Profit Margin has a positive effect on Murabaha Financing. NPF does not moderate the effect of CAR on Murabahah Financing. NPF moderates the effect of FDR on Murabahah Financing. NPF moderates the effect of Margin on Murabahah Financing.
Dissertations / Theses on the topic "Moderated regression"
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Morse, Brendan J. "Controlling Type I Errors in Moderated Multiple Regression: An Application of Item Response Theory for Applied Psychological Research." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1247063796.
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Morse, Brendan J. "Controlling Type 1 errors in moderated multiple regression an application of item response theory for applied psychological research /." Ohio : Ohio University, 2009. http://www.ohiolink.edu/etd/view.cgi?ohiou1247063796.
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Meyers, Timothy Walter. "The Relationship between Socioeconomic Status (SES) and the National Council Licensure Examination for Registered Nurses: Comparing SES indicators in Mediated and Moderated Logistic Regression." Kent State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1457969792.
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Korobilis-Magas, Evagelos. "Symbolic uses of export information : implications for export performance." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/8390.
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As export competition becomes more intense and export success vital for survival (Katsikeas, 1994), so the effective processing and use of information regarding the international environment becomes a critical prerequisite for gaining competitive advantage (Leonidou and Theodosiou, 2004). Symbolic use of information is one type of information use, which although relatively underexplored to date, may be the most prevalent form of information use within organisations – especially in an export setting (Beyer and Trice, 1982). Symbolic use occurs when information is used for purposes other than the ones which led to its collection (Menon and Varadarajan, 1992). Symbolic use of information has been conceptualised as a multi-dimensional construct encompassing various dimensions (Vyas and Souchon, 2003). Examples include “exporters that engage in distorting market research findings, taking conclusions out of context, disclosing only the findings that confirm an executive‟s predetermined position or consciously ignoring information” (Toften and Olsen, 2004, p. 106). Symbolic use can also legitimate decisions reached on the basis of intuition or managerial assumptions (Vyas and Souchon, 2003). Although conceptual propositions of the potential relationship between each of the symbolic use dimensions and performance exist (Vyas and Souchon 2003), no empirical research has yet been undertaken. As a result, little is known about how and why symbolic use of export information may affect export performance, and under what circumstances. Furthermore, reliable and valid measures for each one of the symbolic use dimensions are absent in the literature. The purpose of this thesis is to fill in these research gaps. In so doing, a combination of both qualitative and quantitative methods is employed. The exploratory phase takes the form of in depth interviews with export decision makers in the UK. The data collected in this exploratory phase are analysed through the use of within-case and cross-case displays as per Miles and Huberman (1994) and are used not just for hypothesis development, but also to identify potential outcomes of using information symbolically in specific ways and to create pools of items for the development of measures of symbolic use. (Continues...).
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Burchett, Danielle L. "MMPI-2-RF Validity Scale Scores as Moderators of Substantive Scale Criterion Validity." Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1351280854.
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Montoya, Amanda Kay. "Conditional Process Analysis in Two-Instance Repeated-Measures Designs." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1530904232127584.
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Farrell, Kristen Anne. "Independent Associations between Psychosocial Constructs and C-Reactive Protein among Healthy Women." Scholarly Repository, 2007. http://scholarlyrepository.miami.edu/oa_theses/111.
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C-reactive protein (CRP) is associated with an increased risk of cardiovascular disease (CVD), peripheral vascular disease, diabetes, and stroke. In addition to traditional risk factors of CVD, some studies have shown that depression and anger independently predict CRP, but other studies have found null results, and few, if any, studies have considered possible roles of physical activity and diet. The purpose of this study was to investigate the ability of certain psychosocial variables to predict CRP controlling for traditional CVD risk factors. Cross-sectional data for 300 healthy women who participated in the Stockholm Female Coronary Risk Study were analyzed. Regression analyses were performed to determine whether anger, depression, social support, marital stress, and self-esteem were associated with CRP levels while controlling for relevant covariates. Analyses investigated possible mediating effects of certain aspects of diet and physical activity and whether body composition (measured by waist circumference) and fasting glucose moderates the relationship between psychosocial variables and CRP. We found that anger symptoms were negatively associated with CRP and anger discussion was positively associated with CRP controlling for several biological variables. Diet and physical activity did not explain the relationship between these anger variables and CRP. Social support in the forms of social attachment and social integration were positively associated with CRP among women with a larger waist circumference and higher fasting glucose, respectively. Marital stress was positively related to CRP among women with a larger waist circumference. Among women with a smaller waist circumference, marital stress was negatively related to CRP and social integration was positively related to CRP. These findings suggest that having a large waist in addition to less social support and more marital stress is disadvantageous with regard to CRP. Furthermore, it is possible that being quite thin may not necessarily be advantageous with regard to inflammation.
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Chou, Yun-Hsin. "Servicescape symbolism." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/57199/1/Yun-Hsin_Chou_Thesis.pdf.
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In order to drive sustainable financial profitability, service firms make significant investments in creating service environments that consumers will prefer over the environments of their competitors. To date, servicescape research is over-focused on understanding consumers’ emotional and physiological responses to servicescape attributes, rather than taking a holistic view of how consumers cognitively interpret servicescapes. This thesis argues that consumers will cognitively ascribe symbolic meanings to servicescapes and then evaluate if those meanings are congruent with their sense of Self in order to form a preference for a servicescape. Consequently, this thesis takes a Self Theory approach to servicescape symbolism to address the following broad research question:
How do ascribed symbolic meanings influence servicescape preference?
Using a three-study, mixed-method approach, this thesis investigates the symbolic meanings consumers ascribe to servicescapes and empirically tests whether the joint effects of congruence between consumer Self and the symbolic meanings ascribed to servicescapes influence consumers’ servicescape preference. First, Study One identifies the symbolic meanings ascribed to salient servicescape attributes using a combination of repertory tests and laddering techniques within 19 semi-structured individual depth interviews. Study Two modifies an existing scale to create a symbolic servicescape meaning scale in order to measure the symbolic meanings ascribed to servicescapes. Finally, Study Three utilises the Self-Congruity Model to empirically examine the joint effects of consumer Self and servicescape on consumers’ preference for servicescapes. Using polynomial regression with response surface analysis, 14 joint effect models demonstrate that both Self-Servicescape incongruity and congruity influence consumers’ preference for servicescapes. Combined, the findings of three studies suggest that the symbolic meanings ascribed to servicescapes and their (in)congruities with consumers’ sense of self can be used to predict consumers’ preferences for servicescapes. These findings have several key theoretical and practical contributions to services marketing.
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Grigor, Emma. "A Prediction Rule to Screen Patients with Moderate-To-Severe Obstructive Sleep Apnea." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38023.
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Introduction: Obstructive sleep apnea (OSA) is a common breathing disorder with numerous health consequences, including greater risk of complications perioperatively. Undiagnosed OSA is known to place surgical patients at a higher risk of serious adverse events, including stroke and death. Polysomnography (PSG) assessment is the current gold standard test for diagnosing OSA. However, due to the significant time commitment and cost associated with PSG, a substantial number of OSA patients go undiagnosed before the perioperative period. Although the STOP-Bang questionnaire screening tool is currently used to help detect OSA patients, the low specificity to screen people without the disease is considered a major limitation. There is a clear need to develop a quick and effective prediction rule with higher overall accuracy to help streamline OSA diagnosis. Tracheal breathing sound analysis in awake patients at the bedside has shown potential to screen OSA patients with higher specificity compared to the STOP-Bang questionnaire. To date, no screening tools exist to detect OSA patients that combine the results of breathing sound analysis and STOP-Bang.
Objectives: The present study aimed to develop a prediction rule, using both breathing sound analysis and variables in the STOP-Bang questionnaire, to better streamline the diagnosis of OSA.
Methods: This prospective cohort study recruited patients referred for PSG at the Ottawa Hospital Sleep Centre from November 2016 to May 2017. The study conduct was approved by the Ottawa Health Science Network Research Ethics Board (#20160494-01H). After obtaining informed consent, anthropomorphic, breathing sound recordings, and STOP-Bang questionnaire data was collected from over 400 consenting patients. All patients that met the eligibility criteria were included. The breathing sound analysis and STOP-Bang results were utilized to design a prediction rule using logistic regression. Sensitivity, specificity, and likelihood ratio were used to compare the diagnostic performance of the final model.
Results: Of the 439 consenting study participants, 280 study participants data were eligible for inclusion in the logistic regression analysis. Physician sleep specialists diagnosed 114 participants (41%) with moderate-to-severe OSA and 166 participants (59%) with normal-to-mild OSA. At a predicted probability of moderate-to-severe OSA greater than or equal to 0.5, breathing sound analysis had a similar sensitivity of 75.9 (95%CI; 65.4, 82.0) and higher specificity of 74.5% (95%CI; 68.5, 82.0) when compared to STOP-Bang with a sensitivity and specificity of 68.4% (95%CI; 58.9, 76.6) and 63.2% (95%CI: 55.0, 70.1), respectively. The sensitivity and specificity for the Safe-OSA rule, obtained by combining breathing sound analysis and STOP-Bang variables, were determined to be 75.4% (95%CI; 65.4, 82.0) and 74.5% (95%CI; 68.5, 82.0), respectively. A sensitivity analysis using a likelihood ratio test showed that breathing sound analysis contributed significantly to the performance of the Safe-OSA rule. The Safe-OSA rule was determined to be reasonably discriminative and well calibrated. The five-fold cross-validation showed similar results for the final model in the derivation and testing subsamples, which provides support for the internal validity of the Safe-OSA rule in our study population.
Conclusion: The present study lends further support for the future testing of tracheal breathing sound analysis as a potential method to screen for moderate-to-severe OSA to help streamline patient care in the perioperative setting.
Trial registration: ClinicalTrials.gov identifier NCT02987283.
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Eng, Ngiang Jiang. "When 'trust in top management' matters to organisational performance and effectiveness: the impact of senior manager role-modelling and group cohesiveness." Thesis, Curtin University, 2010. http://hdl.handle.net/20.500.11937/2229.
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While ‘trust in top management’ matters to organisational performance and effectiveness, low trust in top management remains an issue in many organisations despite their efforts in building trust. The persistence of such problems appears to be largely due to improper approach used in the treatments of trust. While the literature reflects a fair amount of effort directed towards an understanding of trust building process, little research, if any, has been done into three important issues that follow. First, the potential effects of group processes on employee perceptions of management’s trustworthiness. Second, the moderating effects of potential moderators on the relationships between trust in management and important organisational outcomes. Third, the potential impacts of cultural differences on trusting relationships.This research investigates into how organisations can strategise to deal with the persistent problem of low trust in top management. Backed by research evidence, the study provides insights for organisations to deal with this problem through (1) promoting group cohesiveness to improve employee trust in top management; and (2) promoting senior manager role-modelling to minimize the impacts of trust in top management on organisational outcomes.To carry out the research, this study develops a theoretical framework that includes group cohesiveness, top management’s trustworthiness factors, trust in top management, important organisational outcomes (i.e., affective commitment, job satisfaction, turnover intention, and intention-to-return), senior manager role-modelling, and their proposed interrelationships. From the theoretical framework emerges an analytical model which elucidates the theories and empirical evidence underlying the proposed relationships in the theoretical framework, and develops a series of theoretically justified and testable hypotheses to address the research questions/problem.Data collection was administered in two field studies conducted in WesternAustralia (the WA study) and Singapore (the SIN study). In both field studies, the population of interest was employees from a diverse range of industries. Thesampling frame for the WA study comprised ten (10) randomly selected companiesoperating in various industries; and a random sample of employees in a variety ofindustries. For the SIN study, the sampling frame included fifteen (15) randomlyselected companies operating in various industries. Of the 1,500 survey packsdistributed in the WA study, the hypotheses were empirically tested on a final sampleof 305 respondents using multiple regression analysis, simple regression analysis,and subgroup analysis. And, of the 1,000 survey packs distributed in the SIN study,the hypotheses were empirically tested on a final sample of 212 respondents using the same data analysis techniques.Evidence from both the WA and SIN studies consistently concludes, inter alia, that (1) group cohesiveness positively influences employee perceptions of top management’s trustworthiness, which in turn improve trust in top management; and (2) in situations where trust in top management is low, senior manager role-modelling can serve to minimize the impacts that trust in top management has on organisational outcomes, thereby minimizing undesirable impacts on organisational performance and effectiveness. Since the research findings have been replicable across two culturally different countries, their generalisability to other settings is highly possible.Further, the research findings offer several theoretical implications. First, referent of trust (trustee) moderates the trust–antecedent relationships, such that the trust model with two predictors (trustee’s ability, and integrity) is statistically desired for predicting trust in top management, whereas the trust model with three predictors (trustee’s ability, integrity, and benevolence) may be well-suited for predicting trust in other organisational authorities. Second, social context for trust (e.g., groups), in which group processes play a major role in the social construction of trust, must not be neglected in the study of trust. Third, at any level of trust in top management, senior manager role-modelling can serve to improve the levels of desirable outcomes, which in turn enhance desirable impacts on organisational performance and effectiveness. Fourth, study of trust should increase emphasis on potential moderator variables in trust–outcome relationships to enhance accuracy of research findings. Likewise, study of organisational performance and effectiveness should not neglect potential moderator variables that can possibly minimize the strong impacts that trust in top management has on important organisational outcomes, especially for situations with low trust in top management.Fifth, the regression models of trust in top management across culturally different countries may differ significantly due to the differences in valuing top management’s integrity when making judgments about top management’s trustworthiness. Sixth, positive influence of group cohesiveness on employee perceptions of top management’s trustworthiness may not be affected by cross cultural differences. Last but not least, cross cultural differences may not affect the impacts of trust in top management on affective commitment, turnover intention, and intention-to-return. However, they may vary the impacts that trust in top management has on job satisfaction due to the differences in valuing trust in top management when evaluating job experiences or work context.Equally important, the research findings suggest two practical implications. First, considering trust is both an interpersonal and a collective phenomenon, promoting group cohesiveness is important and instrumental in improving trust in top management. In this regard, firms can build group cohesiveness by ways of team building activities, management actions, and use of cohesion messages. Next, when appropriate senior manager role-modelling is lacking, trust in top management is very critical, and is required if high levels of affective commitment, job satisfaction, intention-to-stay, and intention-to-return are to be attained. However, when appropriate senior manager role-modelling exists, trust in top management becomes less critical in terms of affective commitment, job satisfaction, intention-to-stay, and intention-to-return. Some helpful steps for firms to promote senior manager role-modelling include: (1) top management formalizes an organisational value system that is consistent with the organisation’s goals and objectives; (2) top management internalizes the organisational value system as part of senior managers’ character, with role-modelling expert’s guidance; and (3) senior managers ‘role model’ the organisational value system for subordinates, provide an example of exemplary behaviour for subordinates to imitate, and thereby instilling the organisational value system into subordinates such that shared values are internalized in them.
Books on the topic "Moderated regression"
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Bresser-Pereira, Luiz Carlos. The Rise and Fall of Neoliberal Rentier Capitalism. Oxford University PressOxford, 2025. https://doi.org/10.1093/oso/9780198898146.001.0001.
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Abstract This book discusses the political economy of 20th- and 21st-century capitalism. It starts from the Second Industrial Revolution, which allowed room for the rise of the managerial class and adoption by the rich countries of universal suffrage around 1900, which defined the time to come as the time of democracy. The book follows the political economy rather than the economics of a new theoretical framework that the author and a group of other academics have been developing since the 2000s, termed New Developmentalism. It suggests that there are two forms of economic coordination of capitalism: economic liberalism, leaving resource allocation to the market, and developmentalism, which involves moderate intervention of the state in the economy and a national perspective. The author uses the word ‘developmentalism’ because there is no established word to mean the alternative to economic liberalism. The book describes four phases of capitalist development: the mercantilist, the liberal-industrial, the capitalist-managerial, and the neoliberal rentier-financier phases. While the capitalist-managerial phase was progressive, developmental, and social-democratic, the rentier-financier coalition was narrow—a regressive phase dominated by radical neoliberal ideology. For the author, the rise of national right-wing populism doesn’t represent a crisis of democracy, which is threatened but strong; the crisis rather reflects the recent collapse of neoliberalism and the rise of a conservative developmentalism. The phase that is now beginning is not a capitalist-managerial but a managerial-capitalist phase because the major partner in the coalition is ceasing to be the capitalist and becoming the managerial class.
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Zoccali, Carmine, Davide Bolignano, and Francesca Mallamaci. Left ventricular hypertrophy in chronic kidney disease. Edited by David J. Goldsmith. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0107_update_001.
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Alterations in left ventricular (LV) mass and geometry and LV dysfunction increase in prevalence from stage 2 to stage 5 in CKD. Nuclear magnetic resonance is the most accurate and precise technique for measuring LV mass and function in patients with heart disease. Quantitative echocardiography is still the most frequently used means of evaluating abnormalities in LV mass and function in CKD. Anatomically, myocardial hypertrophy can be classified as concentric or eccentric. In concentric hypertrophy, the muscular component of the LV (LV wall) predominates over the cavity component (LV volume). Due to the higher thickness and myocardial fibrosis in patients with concentric LVH, ventricular compliance is reduced and the end-diastolic volume is small and insufficient to maintain cardiac output under varying physiological demands (diastolic dysfunction). In those with eccentric hypertrophy, tensile stress elongates myocardiocytes and increases LV end-diastolic volume. The LV walls are relatively thinner and with reduced ability to contract (systolic dysfunction). LVH prevalence increases stepwisely as renal function deteriorates and 70–80% of patients with kidney failure present with established LVH which is of the concentric type in the majority. Volume overload and severe anaemia are, on the other hand, the major drivers of eccentric LVH. Even though LVH may regress after renal transplantation, the prevalence of LVH after transplantation remains close to that found in dialysis patients and a functioning renal graft should not be seen as a guarantee of LVH regression. The vast majority of studies on cardiomyopathy in CKD are observational in nature and the number of controlled clinical trials in these patients is very small. Beta-blockers (carvedilol) and angiotensin receptors blockers improve LV performance and reduce mortality in kidney failure patients with LV dysfunction. Although current guidelines recommend implantable cardioverter-defibrillators in patients with ejection fraction less than 30%, mild to moderate symptoms of heart failure, and a life expectancy of more than 1 year, these devices are rarely offered to eligible CKD patients. Conversion to nocturnal dialysis and to frequent dialysis schedules produces a marked improvement in LVH in patients on dialysis. More frequent and/or longer dialysis are recommended in dialysis patients with asymptomatic or symptomatic LV disorders if the organizational and financial resources are available.
Book chapters on the topic "Moderated regression"
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Wiley, Matt, and Joshua F. Wiley. "Moderated Regression." In Beginning R 4. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6053-1_12.
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Judd, Charles M., Gary H. McClelland, and Carey S. Ryan. "Moderated and Nonlinear Regression Models." In Data Analysis. Routledge, 2017. http://dx.doi.org/10.4324/9781315744131-7.
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Starbuck, Craig. "Linear Regression." In The Fundamentals of People Analytics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28674-2_10.
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AbstractThis chapter covers one of the most valuable tools for people analytics professionals: linear regression. Concepts, assumptions, and step-by-step implementations are presented for both simple and multiple linear regression as well as methods for testing more complex moderated and mediated relationships.
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McCabe, Connor J., and Kevin M. King. "Estimating and visualizing interactions in moderated multiple regression." In APA handbook of research methods in psychology: Data analysis and research publication (Vol. 3) (2nd ed.). American Psychological Association, 2023. http://dx.doi.org/10.1037/0000320-005.
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Wang, Yu. "A Moderated Mediation Model of Slack Resources and Innovation Performance: Based on the Hierarchical Multiple Regression of Panal data." In Atlantis Highlights in Engineering. Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-262-0_43.
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Westfall, Peter H., and Andrea L. Arias. "Polynomial Models and Interaction (Moderator) Analysis." In Understanding Regression Analysis. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781003025764-9.
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Angeles, Rebecca. "Moderated Regression: Effects of IT Infrastructure Integration and Supply Chain Process Integration on the Relationships between RFID Adoption Attributes and System Deployment Outcomes." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16419-4_42.
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Ibrahim, Jimoh, Christoph Loch, and Kishore Sengupta. "Insights from the Analysis of the Questionnaires." In How Megaprojects Are Damaging Nigeria and How to Fix It. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96474-0_5.
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AbstractThis chapter presents the statistical (econometric) identification of the most important success drivers of the projects in the sample. The chapter first compresses the 41 questionnaire variables (which contain duplication for robustness sake) into 5 success factors. Then, regressions identify which success factors drive the probability of project completion and which factors drive budget and schedule overruns (for the completed projects).The economic levers are huge—the regressions identify that moderately improving the success factors can double completion chances and save hundreds of millions of dollars. The role of corruption becomes apparent: not only does it depress completion chances and inflate the budgets, but it also compromises the effectiveness of the other success factors.
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Ko, James. "Effective and Inspiring Teaching in STEM Classrooms: Evidence from Classroom Observations with Instrument Comparisons." In Effective Teaching Around the World. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-31678-4_26.
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AbstractThis book chapter reports findings in a case study on the video clips of 97 STEM lessons at a local secondary school. The impact of Effective and inspiring teaching on student engagement in classrooms was explored using the same high-inference classroom observation instruments. Cluster analysis indicated that effective teaching dimensions tended to cluster together. However, inspiring teaching dimensions (i.e., Flexibility, Innovative teaching, and Teaching reflective thinking) tended to cluster with Teaching collaborative learning. While there was no subject difference for inspiring teaching practices, Mathematics significantly performed the best and Technology the worst in effective teaching practices. Multiple regression results indicated that both effective and inspiring teaching practices have a significant but moderate impact on learner engagement, but none showed significant effects on student engagement. In contrast, while the effective teaching dimension Professional knowledge and expectations positively affected overall teaching quality perceptions.
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Khalil, Abdelhamid A., Emad A. S. Abu-Ayyash, and Sa’Ed M. I. Salhieh. "The Role of Lexical Cohesion in Improving Twelfth Graders’ Essay Writing Quality." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27462-6_7.
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AbstractThe current study was conducted to examine the role of lexical cohesion in improving the quality of twelfth graders’ essay writing. The study specifically aimed at examining the correlation between lexical cohesive devices (LCD) and the quality of written texts as well as investigating the barriers of employing these devices for twelfth graders. The context was a private American curriculum school in the UAE. The present paper adopted the quantitative correlational and the quantitative survey research approaches. Data were collected using document analysis of 30 twelfth graders’ essays and an online survey attempted by 113 English teachers. Data were analysed using correlational statistics, multiple linear regression, and exploratory factor analysis. The results indicated that there was a significantly positive, moderate association between cohesive ties and students’ essay scores. The results also demonstrated that there was a significantly linear relation between hyponyms and synonyms and students’ writing scores although hyponyms had more effect on the writing score than synonyms. The findings of exploratory factor analysis identified three factors as major barriers encountered by learners while using lexical cohesion in their written texts including (1) lack of resources and instructions, (2) impact of L1 interference and (3) limited lexical awareness.
Conference papers on the topic "Moderated regression"
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Yanchun, Jin, and Guan Bing. "Probing the Interaction Effect in Moderated Multiple Regression." In 2024 IEEE 7th International Conference on Electronic Information and Communication Technology (ICEICT). IEEE, 2024. http://dx.doi.org/10.1109/iceict61637.2024.10670761.
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Setiyanti, Michelle, Genrawan Hoendarto, and Jimmy Tjen. "Enhancing Water Potability Identification through Random Forest Regression and Genetic Algorithm Optimization." In INTERNATIONAL CONFERENCE ON APPLIED TECHNOLOGY 2024. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-2fikqf.
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Water quality is important for both environmental sustainability and public health. This research introduces an innovative method for forecasting water quality using Random Forest Regression, optimized through Genetic Algorithm (GA) techniques. The goal is to enhance prediction accuracy and offer meaningful insights for better water resource management. The study employed the “Water Quality Data” dataset, encompassing 11 essential water quality parameters from different locations. After thorough data preprocessing, the Random Forest model, refined with GA optimization, achieved a Mean Squared Error (MSE) of 0.3476 and an accuracy rate of 91.77%, surpassing conventional methods. This approach highlights the effectiveness of merging machine learning algorithms with evolutionary optimization techniques to achieve superior predictive outcomes. Although the dataset was of moderate size, the results show considerable improvements in model accuracy. This work advances the field of water quality prediction by leveraging sophisticated algorithms and emphasizes the significance of hyperparameter tuning. Future research should focus on using larger datasets and examining the specific regions from which the data is collected.
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Zhu, Yuntao, and De-Cheng Feng. "A regional climate variable modified probabilistic natural carbonation prediction model for service bridges." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0124.
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<p>Existing carbonation prediction model is not targeted at bridge structures which served in harsh environment, bringing a strong difficulty to make reasonable decision. For this purpose, this study is aimed to modify the existing natural carbonation model (NCP) with measured carbonation data. The overall kb follows Gaussian distribution and the mean value reaches 1.08. Based on the parametric study, the regression model conditioned on temperature and relative humidity is further developed. Finally, the proposed modification factor is applied in probabilistic analysis of corrosion initiation for the service bridges in China. Results show that the probability of corrosion initiation predicted using modified NCP model (NCP-K) is commonly larger than NCP model, especially in high temperature or moderate humid regions. The maximum difference of predicted corrosion probability can reach 62% between two models.</p>
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Čakanišin, Adrián, and Mária Halenárová. "Monte Carlo as a Method for Examining of Business Changes in Tourism in Slovakia." In 25th International Joint Conference Central and Eastern Europe in the Changing Business Environment. Vydavateľstvo EKONÓM, 2025. https://doi.org/10.53465/ceecbe.2025.9788022552257.50-63.
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The business environment in tourism encompasses a set of factors influencing the establishment, development, and sustainability of businesses in this sector, including economic, legislative, and market conditions. The dynamics of this environment are crucial for the economic stability of the sector. The main objective of this paper is to model the development of business establishments and closures in the tourism sector based on historical data and the influence of selected factors. The data used for this study were obtained from the Statistical Office of the Slovak Republic upon request. To achieve this objective, correlation and regression analysis were employed to examine relationships between economic variables, while a Monte Carlo simulation was used to predict future business activity trends. The results indicated that there are only moderately statistically significant relationships between economic factors and business establishment or closure. Domestic tourists' expenditures showed a weak positive correlation with business formation, whereas expenditures on inbound tourism had the opposite effect. The Monte Carlo simulation suggested that, assuming historical trends continue, the number of newly established businesses will stabilize at around 7,500 per year, while the number of closed businesses will be approximately 6,000 per year. Extreme scenarios demonstrated that economic fluctuations could lead to significant deviations, with the pessimistic scenario predicting a higher number of business closures and the optimistic scenario indicating a more favorable sectoral development.
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García García, Catalina, Roman Salmerón Gómez, Claudia García García, and José García Pérez. "Raise regression mitigating collinearity in moderated regression." In The 5th Virtual International Conference on Advanced Research in Scientific Areas. Publishing Society, 2016. http://dx.doi.org/10.18638/arsa.2016.5.1.839.
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Zhai, Yuming, Xinyu Wang, Ning Xie, and Lixin Zhang. "Environmental Orientation, Green Innovation and Enterprise Performance: A Moderated Mediating Examination——Multivariate Linear Regression Analysis Based on STATA." In Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China. EAI, 2023. http://dx.doi.org/10.4108/eai.9-12-2022.2327672.
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He, Hui, Qinghua He, Ge Wang, Albert P. C. Chan, and Yingli Wang. "How Does Paradoxical Leadership Facilitate Interorganizational Knowledge Sharing in Megaprojects: Through Mediating Role of Ambidextrous Motivations and Moderating Role of Absorptive Capacity." In 11th IPMA Research Conference “Research Resonating with Project Practices”. International Project Management Association – IPMA, Project Management Research Committee (PMRC), China and Hohai University, Nanjing, China, 2023. http://dx.doi.org/10.56889/xhdl8348.
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Research on adopting leadership styles like paradoxical leadership (PL) to promote interorganizational knowledge sharing (IKS) of megaprojects is in an initial stage. Drawing on the contingency theory of leadership and self-determination theory, this research aims to investigate the effect of PL on IKS in megaprojects through quantitative empirical research method and analyzes the mediating role of ambidextrous motivations (AM) and moderating role of absorptive capacity (AC). Research used hierarchical moderated regression to estimate the moderated–mediation models following Hayes’s PROCESS procedures. This study provides a research framework for future works exploring the relationship between PL, AM, AC, and IKS, and helps megaproject stakeholders better understand the mechanism of how PL facilitates IKS, adjust their governance strategies to adapt to the external environment changes and encourage more IKS in megaprojects.
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"The Influence Of Safety Culture On Safety Performance In Maritime Service Companies In Surabaya." In Maritime Business Management Conference. Politeknik Perkapalan Negeri Surabaya, 2024. https://doi.org/10.33863/mbmc.v3i1.3267.
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Maritime service companies have a high risk of accidents due to the workplace environment at sea. To create a safe work environment, the company can implement a safety culture, which is assumed to be supported by workers' self-awareness to improve the company's Safety Performance. This study aimed to analyze the effect of Safety Culture on Safety Performance with moderation of Self Awareness. This study used purposive sampling with a sample size of one hundred and four organic employees who worked for at least one year at the company. This research uses a quantitative approach. The data collection technique used a questionnaire with a Likert scale. Validity and reliability tests were carried out to test the instrument. Hypothesis testing using multiple linear regression analysis methods and Moderated Regression Analysis (MRA) using SPSS version 22. The results showed that safety culture positively and significantly affects safety performance. Self-awareness does not have a positive and significant effect on safety performance and cannot moderate the effect of safety culture on safety performance on safety performance. This means that the better the implementation of the Safety Culture, the risk of work accidents in the company will decrease, so the company's Safety Performance will also increase.
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Sun, Lijun, Zhefei Mao, and Jie Zhou. "The Effect of Employees’ Marital Satisfaction on Job Performance: Based on the Perspective of Conservation of Resource Theory." In 10th International Conference on Foundations of Computer Science & Technology (FCST 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120803.
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The study linking the marriage with work explores the mechanism of action of employees’ marital satisfaction and job performance through establishing a moderated mediating effect model. The results of the correlation and regression analyses conducted by collecting questionnaires from 290 employees indicated that: (1) Emotional exhaustion and work engagement play a chain mediating role in the positive relationship between marital satisfaction and job performance. (2) Work meaningfulness and work engagement play a chain mediating role in the positive relationship between marital satisfaction and job performance. (3) The need to support a family moderates the relationship between marital satisfaction and work meaningfulness, as well as the mediating effect of work meaningfulness and work engagement on the relationship between marital satisfaction and job performance. (4) The need to support a family moderates the relationship between marital satisfaction and emotional exhaustion, as well as the mediating effect between emotional exhaustion and work engagement on marital satisfaction and job performance. (5) Self-efficacy moderates the relationship between marital satisfaction and work meaningfulness, as well as the mediating effect between work meaningfulness and work engagement on marital satisfaction and job performance. This study provides a new perspective of family as resources for improving employees’ job performance in management.
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Sotelo, Melissa, and Anita Cservenka. "Distress Tolerance and Hazardous Cannabis Use: Does the Form of Cannabis Matter?" In 2021 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2022. http://dx.doi.org/10.26828/cannabis.2022.01.000.25.
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Objectives. Among cannabis users, low distress tolerance may result in greater vulnerability for hazardous cannabis use and cannabis use disorder. Although this relationship has been reported in the past, the role of primary form of cannabis used has not been examined as a moderator of this association. While marijuana flower remains the preferred form of cannabis used, there has been an increasing popularity of other forms of cannabis, including concentrates and edibles. The aim of the current study was to examine the association between distress tolerance and hazardous cannabis use, as well as to determine whether the primary form of cannabis used would have a moderating effect on this relationship. Methods. Participants completed a survey on cannabis use, including questionnaires on distress tolerance and hazardous cannabis use. 695 (67.60% male) past-month cannabis users were included in the current analyses. Multiple linear regressions were used to assess whether distress tolerance, primary form of cannabis used, and their interaction were associated with hazardous cannabis use, while controlling for covariates such as demographic variables and past 30-day alcohol and cannabis use frequency. Results. There was a significant regression equation (F(13, 681) = 33.31, p < .001, R2 = 0.39) that included a main effect for distress tolerance (b = 0.64, p < 0.001), indicating that lower tolerance for distress was significantly related to hazardous cannabis use. There was also a main effect for primary form of cannabis used, where preference for using concentrates compared to marijuana flower was associated with hazardous cannabis use (b = 1.38, p = 0.006), preference for using marijuana flower compared to edibles was associated with hazardous cannabis use (b = -4.39, p < 0.001), and preference for using concentrates compared to edibles was associated with hazardous cannabis use (b = -5.76, p < 0.001). Furthermore, the primary form of cannabis used significantly moderated the relationship between distress tolerance and hazardous cannabis use (F(2, 681) = 3.77, p = 0.024, R2 change = 0.01). Specifically, the relationship between low distress tolerance and more hazardous cannabis use was moderated by preference for marijuana flower (b = 0.64, p < 0.001) and concentrates (b = 0.69, p < 0.001), but was not moderated by preference for using edibles as the primary form of cannabis (b = 0.18, p = 0.25). Conclusions. By determining which particular cannabis users have the strongest relationship between lower tolerance for distress and hazardous cannabis use, these findings can help inform interventions geared towards aiding individuals to better tolerate stressful situations so as to minimize their hazardous cannabis use.
Reports on the topic "Moderated regression"
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Sánchez-Páez, David A. Effects of income inequality on COVID-19 infections and deaths during the first wave of the pandemic: Evidence from European countries. Verlag der Österreichischen Akademie der Wissenschaften, 2021. http://dx.doi.org/10.1553/populationyearbook2022.res1.1.
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Evidence from research on infectious diseases suggests that income inequality is related to higher rates of infection and death in disadvantaged population groups. Our objective is to examine whether there was an association between income inequality and the numbers of cases and deaths during the first wave of the COVID- 19 pandemic in European countries. We determined the duration of the first wave by first smoothing the number of daily cases, and then using a LOESS regression to fit the smoothed trend. Next, we estimated quasi-Poisson regressions. Results from the bivariate models suggest there was a moderate positive association between the Gini index values and the cumulated number of infections and deaths during the first wave, although the statistical significance of this association disappeared when controls were included. Results from multivariate models suggest that higher numbers of infections and deaths from COVID-19 were associated with countries having more essential workers, larger elderly populations and lower health care capacities.
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Taylor, Bea, Heather Wardle, and Isabel Taylor. Exploring the problem gambling health-harm paradox. Greo Evidence Insights, 2022. https://doi.org/10.33684/2024.002.
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Purpose: Previous research by NatCen identified a potential health-harm paradox for mental wellbeing and gambling, finding that those with poor mental wellbeing or a diagnosed mental health condition were more likely to experience problem gambling despite being less likely to gamble at all. This report aimed to explore this further, testing three specific hypothesis which could account for this association: 1. That people with poorer mental wellbeing who gamble do so more frequently and it is this increased frequency of gambling that drives elevated rates of gambling severity. 2. That people with poorer mental wellbeing who gamble generally take part in higher risk health behaviours (e.g., higher-risk alcohol consumption; cigarette smoking) and this drives the association. 3. That people with poorer mental wellbeing who gamble are more likely to take part in specific types of gambling that are associated with higher rates of harms. This report explores these potential mechanisms, using data collected in recent Health surveys across England and Scotland. Methodology: Data from the 2015-2017 Scottish Health Survey and the 2015, 2016 & 2018 Health Survey for England were combined, and bivariate analysis was conducted first to confirm that the relationships between mental health, moderate risk/problem gambling and gambling patterns did not vary significantly between survey years. With this established, binary logistic regressions using the combined data from both the Scottish and English Health Survey series were employed to investigate explanatory factors of the association between mental health and experiences of moderaterisk/problem gambling. These include gambling and other health-related factors. These were first conducted on the full sample, and then separate models were estimated for men and women to provide further insights by gender. Measures: For the exposure variable, three different established measures of mental health were used: doctor diagnosis of a mental health condition, the Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS; a score of 40 or below indicating probable depression) and the General Health Questionnaire (GHQ-12; a score of 4 or more indicating significant mental distress). The outcome variable of moderate risk/problem gambling was measured by the Canadian Problem Gambling Index’s Problem Gambling Severity Index (PGSI), while gambling activities and frequency were derived from multiple questions in the combined surveys. The PGSI is a measure of the riskiness of a person’s gambling habits. Someone identified as a moderate risk gambler experiences a moderate level of problems with their gambling which can lead to some negative consequences. These might be spending more than they can afford, losing track of time while gambling, or feeling guilty about how much they gamble. A person identified as a problem gambler in the PGSI score will also face negative consequences from their gambling, as well as a possible loss of control. Control variables included socio-demographic characteristics and alcohol and cigarette consumption. Results: Our results confirm previous findings that people with poor mental wellbeing or a diagnosed mental health condition were significantly more likely to experience moderate risk or problem gambling despite being less likely to gamble at all. For example, 50% of those experiencing significant mental distress gambled in the past year compared with 54% of those not experiencing significant mental distress, yet rates of experiencing moderate risk/problem gambling respectively were 2.4% and 1.2%. Logistic regression models showed that the associations between moderate risk and problem gambling and both ‘mental distress’ (measured in the GHQ) and ‘probable depression’ (the WEMWBS) were not fully accounted for by differences in gambling frequency, gambling activity or engagement in other risky health behaviours. Thus, these alternative explanations for the association between mental wellbeing and moderate risk or problem gambling was not supported by any of the three hypotheses tested. In the fully adjusted models, controlling for all these alternative explanations, the odds ratio of moderate risk/problem gambling were 1.86 times higher among those with probable depression and 2.56 times higher among those with significant mental distress. This relationship is not explained by those with poor mental wellbeing who gamble participating in gambling more often, engaging in higher-risk health behaviours or in specific types of gambling activity. However, when looking at doctor-diagnosed mental health conditions and moderate risk or problem gambling, only one hypothesis was rejected – that increased gambling frequency could explain this association. When cigarette smoking and high-risk alcohol consumption were controlled for, and when engagement in specific gambling activities were taken into account, there was no evidence of an association between doctor-diagnosed mental health conditions and moderate risk/problem gambling Finally, gender-stratified analysis revealed that for men with poor mental wellbeing or a diagnosed mental health condition had a similar relationship to moderate risk/problem gambling as the whole population. For women, the study was underpowered to look at this in detail. Implications: Findings from this research suggest that the relationship between poor mental wellbeing and moderate risk/problem gambling is not driven by differences in gambling or other high-risk health behaviour, particularly amongst people experiencing anxiety or depression. The association between poor mental wellbeing and experiences of moderate risk and problem gambling in this data persists when these behaviours are taken into account, though the direction of any causal (or potentially reciprocal) relationship has not been established in this cross-sectional data. Although other factors not measured in study may explain this relationship, it is concerning that people with poor mental wellbeing are more likely to experience gambling harms, despite lower levels of gambling engagement. Therefore, gambling should be embedded within broader strategies for improving mental health (for example, as a risk factor for poor mental wellbeing; for suicidality etc.) and should be considered as both a potential cause and consequence of moderate risk and problem gambling, to help to identify and address this. It also highlights the need for additional research into the specific doctor-diagnosed mental health conditions that increase the risk of moderate risk/problem gambling, as well as further investigations into the causal pathway between both mental distress and depression and moderate risk/problem gambling.
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Elbers, Chris, Peter Lanjouw, Vincenzo Salvucci, and Sebastian Silva-Leander. dying Multidimensional Poverty Dynamics: Can Synthetic Panel Methods Help? Data and Evidence to End Extreme Poverty, 2024. https://doi.org/10.55158/deepwp28.
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We extend the Dang et al. (2014) synthetic panel framework for studying poverty dynamics to multidimensional poverty measures. Using the case of a three-dimensional poverty index over two time periods we show that it is possible to produce moderate bounds on predicted transitions, based on household survey data for Tanzania from 2014 and 2020. The panel structure of the National Panel Survey (NPS) of Tanzania allows us to compare synthetic panel estimates to directly measured multidimensional poverty transitions. We assess two approaches to the estimation of multidimensional poverty transitions: one based on tracking transitions of the aggregate multidimensional poverty index; and a second building on transitions of the individual dimensions of the multidimensional poverty index. The latter approach, based on a Seemingly Unrelated Regression Estimation (SURE) framework, is shown to produce more accurate and precise transition estimates. We provide R and Stata codes, which can be incorporated into the standard synthetic panel code for the purpose of extending the analysis to multidimensional poverty.
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Dashtey, Ahmed, Patrick Mormile, Sandra Pedre, Stephany Valdaliso, and Walter Tang. Prediction of PFOA and PFOS Toxicity through Log P and Number of Carbon with CompTox and Machine Learning Tools. Florida International University, 2024. http://dx.doi.org/10.25148/ceefac.2024.00202400.
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Perfluorooctanoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS) are two major groups of PFAS will be subjected to the Maximal Contamination Concentration (MCL) of 4 ng/l in drinking water to be implemented by the U.S. EPA by 2025. How to accurately predict toxicity of PFAS with varied carbon chain length is important for treatment and sequential removal from drinking water. This study presents Quantitative Structure and Activity Relationship (QSAR) models developed through both linear regression and two order regression. Log P is compiled from reference and carbon content is counted as the molecule represented. Bioconcentration potential is predicted from CompTox.The results suggest that as log P and carbon content increase, the bioconcentration potential of PFCAs also increases. In other words, larger PFCA molecules tend to be easier to bioaccumulate in living organisms. This finding is crucial because bioconcentration refers to the accumulation of substances from water directly into living organisms through the process of passive diffusion across cell membranes. On the other hand, 96-hour fathead minnow LC50 has an inverse relationship, with higher LC50 values associated with lower log P and fewer carbons. The varying R-squared values across methods indicate differing degrees of correlation, underscoring the impact of compound structure on aquatic toxicity. Similarly, for oral rat LD50 and 48-hour D. magna LC50, the R-squared values reflect moderate to strong correlations with log P and the number of carbons. As the log P and carbon content decrease,the toxicity expressed in LC50 or LD50 increases. This relationship underscores the role of chemical properties in influencing the toxicity of PFCAs across different organisms and exposure routes. For instance, the negative correlation between log P and aquatic toxicity (96-hour fathead minnow LC50 and 48-hour D. magna LC50) suggests that compounds with higher hydrophobicity (higher log P) and more carbons may exhibit lower acute toxicity to aquatic organisms.
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Torrungruang, Kitti, Soranun Chantarangsu, and Thanyachai Sura. Association between vitamin D receptor gene polymorphisms and chronic periodontitis in Thais. Chulalongkorn University, 2015. https://doi.org/10.58837/chula.res.2015.18.
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Polymorphisms of the vitamin D receptor (VDR) gene have been implicated in the susceptibility to infections and bone-related diseases. However, their relationship with periodontal disease remains unclear. This cross-sectional study investigated whether the susceptibility to chronic periodontitis in a Thai population is associated with VDR polymorphisms. Genomic DNA was obtained from 1,460 subjects, aged 39-65 years. Genotyping of VDR polymorphisms (FokI, BsmI, ApaI, and TaqI) was performed using real-time polymerase chain reaction. Subjects were categorized into three groups; no/mild, moderate, and severe periodontitis. Multinomial logistic regression analysis was used to determine the degree of association between VDR polymorphisms and periodontal status adjusted for age, gender, education, smoking, and diabetes. The CC+CT genotypes of FokI polymorphism were associated with moderate and severe periodontitis with odds ratios (OR) of 1.4 (95% CI 1.0-1.9) and 2.0 (95% CI 1.3-2.9), respectively. There was no significant relationship between the other VDR polymorphisms or BsmI-ApaI-TaqI haplotypes and periodontitis. To examine gene-smoking interaction, non-smokers with the TT genotype of FokI polymorphism were used as the reference group for all comparisons. Current smokers who had the CC+CT genotypes presented the highest risk of severe periodontitis with an OR of 10.4 (95% CI 4.9-22.1), whereas their counterparts with the TT genotype and non-smokers bearing the CC+CT genotypes had an increased risk by 2.7 (95% CI 1.1-6.7) and 2.0 folds (95% CI 1.2-3.4), respectively. The combined effect of FokI polymorphism and current smoking was 3.5 times (95% CI 1.3-9.9) greater than what would be expected from the sum of their individual effects, indicating a significant additive interaction. In conclusion, our data indicate that FokI polymorphism of VDR gene was significantly associated with periodontal disease severity in this study group. We are also the first to demonstrate that FokI polymorphism and smoking synergistically interacted in increasing the risk of chronic periodontitis.
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Iurasova, Olga, Larysa Ivashko, Oleksandr Maksymov, and Julia Maksymova. Impact of Return on Education on Economic Growth in EU Countries. Vilnius Business College, 2024. https://doi.org/10.57005/ab.2024.2.6.
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The objective of this article is to assess the impact of returns on the education and professional skills of workers on economic growth in EU countries. Based on open data, two principal components were formed to identify the aggregated influence of selected indicators on GDP growth. These principal components allow for the evaluation of the degree of influence of education and professional skills of workers on GDP growth for each country. Countries were clustered according to the degree of influence of the obtained principal components on the level of economic development using the k-means method. As a result, 20 EU countries were divided into three clusters. The first cluster consists of developed countries with a high share of innovations. The sec-ond cluster includes developed countries with a lower share of innovations than the first cluster and moderate values of the return on education. The third cluster includes countries with a large share of non-innovative sec-tors. Subsequently, a regression model was constructed to analyse the influence of each component on GDP growth. Based on the comparison of coefficient values, it was concluded that the increase in the relationship between the level of education and GDP growth in EU countries is observed with the increase in the innovative and technological components of the economy.
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Meidan, Rina, and Joy Pate. Roles of Endothelin 1 and Tumor Necrosis Factor-A in Determining Responsiveness of the Bovine Corpus Luteum to Prostaglandin F2a. United States Department of Agriculture, 2004. http://dx.doi.org/10.32747/2004.7695854.bard.
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The corpus luteum (CL) is a transient endocrine gland that has a vital role in the regulation of the estrous cycle, fertility and the maintenance of pregnancy. In the absence of appropriate support, such as occurs during maternal recognition of pregnancy, the CL will regress. Prostaglandin F2a (PGF) was first suggested as the physiological luteolysin in ruminants several decades ago. Yet, the cellular mechanisms by which PGF causes luteal regression remain poorly defined. In recent years it became evident that the process of luteal regression requires a close cooperation between steroidogenic, endothelial and immune cells, all resident cells of this gland. Changes in the population of these cells within the CL closely consort with the functional changes occurring during various stages of CL life span. The proposal aimed to gain a better understanding of the intra-ovarian regulation of luteolysis and focuses especially on the possible reasons causing the early CL (before day 5) to be refractory to the luteolytic actions of PGF. The specific aims of this proposal were to: determine if the refractoriness of the early CL to PGF is due to its inability to synthesize or respond to endothelin–1 (ET-1), determine the cellular localization of ET, PGF and tumor necrosis factor a (TNF a) receptors in early and mid luteal phases, determine the functional relationships among ET-1 and cytokines, and characterize the effects of PGF and ET-1 on prostaglandin production by luteal cell types. We found that in contrast to the mature CL, administration of PGF2a before day 5 of the bovine cycle failed to elevate ET-1, ETA receptors or to induce luteolysis. In fact, PGF₂ₐ prevented the upregulation of the ET-1 gene by ET-1 or TNFa in cultured luteal cells from day 4 CL. In addition, we reported that ECE-1 expression was elevated during the transitionof the CL from early to mid luteal phase and was accompanied by a significant rise in ET-1 peptide. This coincides with the time point at which the CL gains its responsiveness to PGF2a, suggesting that ability to synthesize ET-1 may be a prerequisite for luteolysis. We have shown that while ET-1 mRNA was exclusively localized to endothelial cells both in young and mature CL, ECE-1 was present in the endothelial cells and steroidogenic cells alike. We also found that the gene for TNF receptor I is only moderately affected by the cytokines tested, but that the gene for TNF receptor II is upregulated by ET-1 and PGF₂ₐ. However, these cytokines both increase expression of MCP-1, although TNFa is even more effective in this regard. In addition, we found that proteins involved in the transport and metabolism of PGF (PGT, PGDH, COX-2) change as the estrous cycle progresses, and could contribute to the refractoriness of young CL. The data obtained in this work illustrate ET-1 synthesis throughout the bovine cycle and provide a better understanding of the mechanisms regulating luteal regression and unravel reasons causing the CL to be refractory to PGF2a.
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Coscia, Jordan, Wendy Cass, and Leighton J. Evaluation of 20 years of vegetation change in the Big Meadows landscape of Shenandoah National Park in response to mowing and burning: Application of historic data to identify best practices for future meadow management. National Park Service, 2025. https://doi.org/10.36967/2312599.
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The Big Meadows landscape is an open habitat that supports unique biodiversity not found elsewhere in Shenandoah National Park. To support this biodiversity and to maintain the Meadow’s historic landscape characteristics, Park staff have managed the meadows using prescribed burns, mowing, and the targeted cutting and removal of woody plants since 1998. To assess the impacts of these management actions on the plant community in Big Meadows and to guide future land management recommendations, we visualized changes in the plant community composition between 1998 and 2022 using non-metric multidimensional scaling and used generalized linear mixed-effects regression to model the impacts of climate and land management actions on eight plant community composition variables. Ordination revealed that the plant community across Big Meadows has moved in the direction of undesired increases in Rubus and Celastrus presence between 2004 and 2022 (stress = 0.13, non-metric R2 = 0.98, linear R2 = 0.91), a direction correlated with longer intervals between prescribed burns (R2 = 0.36, P = 0.01). Our models suggest that changes in the plant community were correlated with both changes in climate and changes in management frequency, providing strong evidence that longer intervals between prescribed burns were associated with undesired increases in woody plant cover (estimate ± SE = 0.19 ± 0.06, P < 0.001) and decreases in desired forb cover (estimate ± SE = −0.20 ± 0.04, P < 0.001 and moderate evidence that later spring freezes were associated with increases in desired graminoid cover (estimate ± SE = 0.11 ± 0.04, P = 0.01) and decreases in undesired Celastrus cover (estimate ± SE = −1.02 ± 0.48 , P = 0.04). Overall, though targeted experimentation will be needed to identify a management interval that balances the costs and effects of changes in management frequencies, our results suggest that increases in the frequency of prescribed burns and other management actions may assist in the maintenance of desired landscape conditions in Big Meadows.
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Tummala, Rohan, Andrew de Jesus, Natasha Tillett, Jeffrey Nelson, and Christine Lamey. Clinical and Socioeconomic Predictors of Palliative Care Utilization. University of Tennessee Health Science Center, 2021. http://dx.doi.org/10.21007/com.lsp.2020.0006.
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INTRODUCTION: Palliative care continues to gain recognition among primary care providers, as patients suffering from chronic conditions may benefit from use of this growing service. OBJECTIVES: This single-institution quality improvement study investigates the clinical characteristics and socioeconomic status (SES) of palliative care patients and identifies predictors of palliative care utilization. METHODS: Retrospective chart review was used to compare clinical and SES parameters for three groups of patients: (1) palliative care patients who attended at least one visit since the inception of the University Clinical Health Palliative Care Clinic in Memphis, TN in October 2018 (n = 61), (2) palliative care patients who did not attend any appointments (n = 19), and (3) a randomized group of age-matched primary care patients seen by one provider from May 2018 to May 2019 (n = 36). A Poisson regression model with backward conditional variable selection was used to determine predictors of palliative care utilization. RESULTS: Patients across the three care groups did not differ in demographic parameters. Compared to palliative care-referred non-users and primary care patients, palliative care patients tended to have lower health risk (p < 0.001). Palliative care patients did not differ from primary care patients in socioeconomic status but did differ in comorbidity distribution, having a higher prevalence of cancer (𝜒2 = 14.648, df = 7, p = 0.041). Chance of 10-year survival did not differ across risk categories for palliative care patients but was significantly lower for very high-risk compared to moderate-risk primary care patients (30% vs. 78%, p = 0.019). Significant predictors of palliative care use and their corresponding incidence rate ratios (IRR) were hospital referral (IRR = 1.471; p = 0.039), higher number of prescribed medications (IRR = 1.045; p = 0.003), lower Charlson Comorbidity Index (IRR = 0.907; p = 0.003), and lower systolic blood pressure (IRR = 0.989; p = 0.004). CONCLUSIONS: Patients who are expected to benefit from and of being high utilizers of palliative care may experience greater clinical benefit from earlier referral to this service.
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Wu, Bin, Lixia Guo, Kaikai Zhen, and Chao Sun. Diagnostic and prognostic value of miRNAs in hepatoblastoma: A systematic review with meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.11.0045.
Full textAbstract:
Review question / Objective: Background and aim: Increasing evidence has revealed the valuable diagnostic and prognostic applications of dysregulated microRNAs (miRNAs) in hepatoblastoma (HB), the most common hepatic malignancy during childhood. However, these results are inconsistent and remain to be elucidated. In the present study, we aimed to systematically compile up-to-date information regarding the clinical value of miRNAs in HB. Methods: Articles concerning the diagnostic and prognostic value of single miRNAs for HB were searched from databases. The sensitivity (SEN), specificity (SPE), positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR), area under the curve (AUC), and hazard ratios (HRs) were separately pooled to explore the diagnostic and prognostic performance of miRNA. Subgroup and meta-regression analyses were further carried out only in the event of heterogeneity. Results: In all, 20 studies, involving 264 HB patients and 206 healthy individuals, met the inclusion criteria in the six included literature articles. For the diagnostic analysis of miRNAs in HB, the pooled SEN and SPE were 0.76 (95% CI: 0.72–0.80) and 0.75 (95% CI: 0.70–0.80), respectively. Moreover, the pooled PLR was 2.79 (95% CI: 2.12–3.66), NLR was 0.34 (95% CI: 0.26–0.45), DOR was 10.24 (95% CI: 6.55–16.00), and AUC was 0.83, indicating that miRNAs had moderate diagnostic value in HB. For the prognostic analysis of miRNAs in HB, the abnormal expressions of miR-21, miR-34a, miR-34b, miR-34c, miR-492, miR-193, miR-222, and miR-224 in patients were confirmed to be associated with a worse prognosis. The pooled HR was 1.74 (95% CI: 1.20–2.29) for overall survival (OS) and 1.74 (95% CI: 1.31–2.18) for event-free survival (EFS), suggesting its potential as a prognostic indicator for HB. Conclusion: To the best of our knowledge, this is the first comprehensive systematic review and meta-analysis that examines the diagnostic and prognostic role of dysregulated miRNAs in HB patients. The combined meta-analysis results supported the previous individual finds that miRNAs might provide a new, noninvasive method for the diagnostic and prognostic analyses ofHB.