Linear Regression Analysis Model Research Articles

Stock Price Synchronicity And Institutional Ownership: The Role Of Sustainability Reporting, Political Connection, And Leverage

This research study is aimed to evaluate how institutional ownership affects the degree of correlation among stock prices, as well as the influence of sustainability reporting, political connections, and leverage. The study takes sample data from companies that were on the LQ45 index at the end of the year, or December 31, for the years 2019–2022 using purposive sampling method. Hypothesis testing uses a multiple linear regression analysis model in the form of a moderated regression analysis (MRA) to test moderator variables. The findings indicated that leverage has negative effect on stock price synchronicity, while neither sustainability reporting nor political connections influenced stock price synchronicity. Institutional ownership as a moderating variable is able to strengthen the negative influence of leverage on stock price synchronicity, On the other hand, the presence of institutional ownership does not have an ability to impact the correlation between sustainability reporting and political relationships on stock price synchronicity

Reproductive outcomes of dual trigger therapy with GnRH agonist and hCG versus hCG trigger in women with diminished ovarian reserve: a retrospective study

BackgroundDiminished ovarian reserve (DOR) is one of the obstacles affecting the reproductive outcomes of patients receiving assisted reproductive therapy. The purpose of this study was to investigate whether dual trigger, including gonadotropin‐releasing hormone agonist (GnRHa) and human chorionic gonadotropin (hCG), can improve pregnancy outcomes in patients with DOR undergoing in vitro fertilization (IVF) cycles using mild stimulation protocols.MethodsA total of 734 patients with DOR were included in this retrospective study. Patients were divided into a recombinant hCG trigger group and a dual trigger group (hCG combined with GnRHa) according to the different trigger drugs used. The main outcome measures included the number of oocytes retrieved, the fertilization rate, the number of transferable embryos, the implantation rate, the clinical pregnancy rate, the miscarriage rate, the live birth rate (LBR), and the cumulative live birth rate (CLBR). Generalized linear model and logistic regression analyses were performed for confounding factors.ResultsThere were 337 cycles with a single hCG trigger and 397 cycles with dual trigger. The dual trigger group demonstrated significantly higher numbers of retrieved oocytes [3.60 vs. 2.39, adjusted β = 0.538 (0.221–0.855)], fertilized oocytes [2.55 vs. 1.94, adjusted β = 0.277 (0.031–0.523)] and transferable embryos [1.22 vs. 0.95, adjusted β = 0.162 (-0.005–0.329)] than did the hCG trigger group, whereas no significant difference in the fertilization rate was observed between the two groups. Moreover, the embryo transfer cancellation rate (35.5% vs. 43.9%) was obviously lower in the dual trigger group. Among the fresh embryo transfer cycles, the implantation rate, clinical pregnancy rate, miscarriage rate and live birth rate were similar between the two groups. After controlling for potential confounding variables, the trigger method was identified as an independent factor affecting the number of oocytes retrieved but had no significant impact on the CLBR.ConclusionsDual triggering of final oocyte maturation with hCG combined with GnRHa can significantly increase the number of oocytes retrieved in patients with DOR but has no improvement effect on the implantation rate, clinical pregnancy rate or LBR of fresh cycles or on the CLBR.

Assessing right ventricular peak strain in myocardial infarction patients with mitral regurgitation by cardiac magnetic resonance feature tracking.

Although it is known that mitral regurgitation (MR) in patients with myocardial infarction (MI) may increase the right ventricular (RV) afterload, leading to RV dysfunction, the exact detrimental effects on RV function and myocardial peak strain remain unresolved. In this study, we assessed the impact of MR on the impairment of RV myocardial deformation in patients with MI and explored the independent influential factors of RV peak strain. A total of 199 MI participants without or with MR were retrospectively assessed in this study. The cardiovascular magnetic resonance examination protocol included a late gadolinium-enhanced (LGE) imaging technique and a cine-balanced steady-state free precession sequence. Statistical tests, including two independent sample t-test or Mann-Whitney U-test, analysis of variance, Kruskal-Wallis test, and multiple linear regression analysis models were performed. The MI (MR+) group exhibited significantly lower RV strain parameters in the radial, circumferential and longitudinal directions when compared to the control and the MI (MR-) groups (both P<0.05). The RV global longitudinal peak strain (GLPS) in the MI group significantly decreased when compared with that in the control group (P<0.05). As moderate-severe MR worsened in patients with MI, RV myocardial global peak strain and the peak systolic strain rate (PSSR) gradually decreased. Multiple linear regression analysis revealed that left ventricular (LV) GLPS, triglycerides, and age were independently correlated with RV GLPS (all P<0.05). RV end-systolic volume (RVESV) acted as an independent association factor for RV global peak strain. MR may exacerbate the impairment of RV peak strain and functions in patients with MI. LV GLPS was positively correlated with RV GLPS. However, RVESV, triglycerides, and age acted as independent risk factors associated with worsening RV GLPS.

Pengaruh Opini, Reputasi KAP, COSO Framework, Laba, dan Struktur Modal terhadap Tingkat Kepercayaan Investor

This research aims to determine the effect of audit opinion, reputation of public accountant firms, the implementation of COSO framework, net income, and capital structure on the level of investor confidence. In this study, multiple linear regression analysis model was used to determine the effect between independent variables on the level of investor confidence, besides that, descriptive statistical analysis, classical assumption test, partial effect test, simultaneous effect test, and coefficient of determination test will also be carried out. The level of investor confidence will be described by the stock price of a company. The share price will take a number from the closing price on December 31 of each year. There were 4 samples of companies from the infrastructure, utilities, and transportation sectors and data obtained from 2011 to 2021 tested in this study. The four companies are AirAsia Indonesia Tbk, Leyand International Tbk, Steady Safe Tbk, and Garuda Indonesia Tbk. The results of the study indicate that the audit opinion variable, the application of the COSO Framework, net income, and capital structure can not be proven to have a partial influence on the level of investor confidence. However, the variable reputation of public accountant firms has a partial influence on the level of investor confidence. For the four independent variables themselves have a simultaneous influence on the investor confidence. A high level of investor confidence is coveted by all companies. The higher the investor's trust, the higher capital that can be used by the company for operational activities. Every company is flocking to increase its value in order to gain strong investor confidence. The components studied are audit opinion, KAP reputation, COSO Framework, net income, and capital structure on the level of investor confidence in the infrastructure, utilities and transportation industries. In this study, multiple linear regression analysis model was used to determine the effect between independent variables on the level of investor confidence, besides that, descriptive statistical analysis, classical assumption test, partial effect test, simultaneous effect test, and coefficient of determination test will also be carried out. The level of investor confidence described by the stock price of a company. The share price will take a number from the closing price on December 31 of each year. There were 4 samples of companies from infrastructure, utilities, and transportation sectors and data obtained from 2011 to 2021 tested in this study. The four companies are AirAsia Indonesia Tbk, Leyand International Tbk, Steady Safe Tbk, and Garuda Indonesia Tbk. The results of the study indicate that the audit opinion variable, COSO Framework, net income, and capital structure can not be proven to have a partial influence on the level of investor confidence. However, the variable KAP reputation has a partial influence on the level of investor confidence. For the four independent variables themselves have simultaneous influence on the investor confidence.

Association of mixed polycyclic aromatic hydrocarbons exposure with oxidative stress in Korean adults

Polycyclic aromatic hydrocarbons (PAHs) are widespread pollutants associated with several adverse health effects and PAH-induced oxidative stress has been proposed as a potential mechanism. This study evaluated the associations of single and multiple PAHs exposure with oxidative stress within the Korean adult population, using serum gamma glutamyltransferase (GGT) as an oxidative stress marker. Data from the Second Korean National Environmental Health Survey (2012–2014) were analyzed. For analysis, 5225 individuals were included. PAH exposure was assessed with four urinary PAH metabolites: 1-hydroxyphenanthrene, 1-hydroxypyrene, 2-hydroxyfluorene, and 2-naphthol. After adjusting for age, sex, body mass index, drinking, passive smoking, and current smoking (model 1), as well as the presence of diabetes and hepatobiliary diseases (model 2), complex samples general linear model regression analyses for each metabolite revealed a significant positive association between Ln(1-hydroxyphenanthrene) and Ln(GGT) (model 1: β = 0.040, p < 0.01 and model 2: β = 0.044, p < 0.05). For the complete dataset (n = 4378), a significant positive association was observed between mixture of four urinary PAH metabolites and serum GGT in both the quantile g-computation and the Bayesian kernel machine regression analysis. Our study provides evidence for the association between mixed PAH exposure and oxidative stress.

Analysis of Hospitalization Costs and Influencing Factors of AKI in Adult Patients

Objective: To investigate the economic burden of patients with acute kidney injury (AKI) by analyzing the distribution of hospitalization expenses and its influencing factors in the Affiliated Hospital of Hebei University. Methods: The hospitalization information of patients with AKI from January 2020 to January 2023 was collected and sorted through the hospital charging system and the factors affecting the total hospitalization cost were analyzed by multiple linear regression. Results: Univariate analysis showed that age, occupation, marriage, length of hospitalization, recovery of renal function, and stage of AKI had significant effects on hospitalization cost (P &lt; 0.05). The result of the multiple linear regression analysis model showed that age (t = 4.11, P &lt; 0.0001), length of hospitalization (t = 16.10, P &lt; 0.0001), recovery of renal function (t = 3.26, P &lt; 0.0001), AKI stage (t = 5.23, P = 0.002) are factors affecting the economic burden of patients with AKI. Conclusion: AKI patients should be managed according to age stratification to effectively control the progression of the disease and improve the quality of the medical services provided. This will reduce the economic burden of patients.

Breaking the budget chains: Empowering Iraqi small- and medium-sized enterprises through Beyond Budgeting

Background: Traditional budgeting has faced criticism, leading researchers to explore alternative management control methods such as Beyond Budgeting. Despite its potential benefits, Beyond Budgeting adoption remains limited.Aim: This research investigates Beyond Budgeting’s effect on Iraqi small- and medium-sized enterprise (SME) performance, focusing on competitive advantage.Setting: The study targets Iraqi SMEs, considering their diverse business landscape. A random sample of 353 accountants was chosen from a research community of 22 974 individuals. SPSS and AMOS 26 software and a custom questionnaire were used.Method: The authors conducted multiple linear regression analysis and Structural Equation Modeling to address our study’s objectives. Additionally, we utilised maximum likelihood procedures to assess factor loadings, construct validity and reliability.Results: Beyond Budgeting implementation significantly affected both financial and nonfinancial performance. It demonstrated positive effects on cost leadership and competitive advantage differentiation. However, an indirect negative impact on nonfinancial performance was observed through the influence on cost leadership, suggesting a trade-off between cost reduction and other nonfinancial factors.Conclusion: The study acknowledges limitations in sample size and the need for considering additional factors. Further research is required to understand Beyond Budgeting’s limited adoption in Iraq. The study contributes valuable insights on Beyond Budgeting as a substitute for traditional approaches, benefiting managers and policymakers.Contribution: This study emphasises Beyond Budgeting’s significant impact on Iraqi SME performance, highlighting the relationship between Beyond Budgeting, competitive advantage strategies, financial and nonfinancial performance. The findings provide insights for enhancing budgeting practices in Iraqi SMEs.

Burden of treatment and quality of life in relapsing remitting multiple sclerosis patients under early high efficacy therapy in Argentina: Data from the Argentinean registry

The objective of this study was to describe and compare the burden of treatment (BOT) and the quality of life (QoL) in early high efficacy therapy (HET) vs. escalation therapy in relapsing remitting multiple sclerosis (RRMS) patients included in RelevarEM, the Argentinean registry of MS (RelevarEM, NCT 03,375,177). Methodscross sectional study conducted between September and December 2022. Participating patients were adults, RRMS patients who initiated (during the last three years) their treatment with a HET (natalizumab, ocrelizumab, alemtuzumab, cladribine) or with escalation treatment (beta interferon, glatiramer acetate, teriflunomide, dimethyl fumarate or fingolimod). Clinical and demographic aspect were collected. QoL and BOT was measured with the validated to Spanish MusiQol and BOT questionnaire. Propensity score (PS)-based nearest-neighbor matching was applied to homogenize groups. Comparisons were be done using a linear regression analysis model stratified by matched pairs, with BOT and QoL assessments as main outcomes. Results269 patients were included in the analysis, mean age 33.7 ± 5.7 years, 193 (71.7 %) were female. A total of 136 patients were on early HET while 133 were on escalation therapy. In the entire group the mean total BOT score (±SD) was 48.5 ± 15.3 while in the group of patients receiving early HET we observed that the mean BOT score (±SD) was 43.5 ± 12.2 vs. 54.3 ± 13.3 in escalation treatment (p < 0.0001). Regarding the score QoL (±SD), in the entire sample we observed a global score of 77.4 ± 11.2. When we stratified groups, in HET (±SD) it was 81.3 ± 14 vs. 74.1 ± 18.3 in escalation therapy (p = 0.0003). Conclusionin this multicenter study that included 269 patients from Argentina we observed in early HET a significantly lower BOT and higher QoL than patients receiving escalation therapy.

Lipid parameters and depression in patients with chronic tinnitus: A cross-sectional observation

BackgroundPathophysiological theories assume importance of metabolic abnormalities in patients with major depression - and possibly chronic tinnitus. Although chronic tinnitus frequently correlates with depression, links between high-density lipoprotein (HDL) and depression are uninvestigated. MethodsTwo-hundred patients with chronic tinnitus (Mage = 55; 51% female) were examined. Serum levels of total cholesterol (TC), triglycerides (TGs), HDL, low-density lipoprotein cholesterol (LDL), non-HDL, as well as LDL/HDL and TC/HDL ratios were analysed. Questionnaires included depression subscales of the ICD-10 Symptom Rating, the Hospital Anxiety and Depression Scale (HADS_D), and the Berlin Mood Questionnaire (BSF). Multivariate analyses of covariance and linear regression models - which controlled age, tinnitus-related distress and perceived stress - investigated between-subgroup differences (p < 0.05) and linear associations between HDL indices and depression (p < 0.01). ResultsHDL levels did not differ for tinnitus-symptom durations, smoking and alcohol use levels, statin or antihypertensive drug use, and body-mass indices. Relative to non-to-mildly depressed patients with chronic tinnitus, patients with moderate-to-severe depression (n = 45; 23%) had significantly lower HDL levels (d = −0.35) and higher LDL/HDL (d = 0.39) and TC/HDL ratios (d = 0.40). Across participants, HDL-levels were negatively associated with depression as measured by the HADS_D and BSF_indifference scales. ConclusionsIn keeping with general depression research, low serum HDL levels correlate with depressive symptomatology in patients with chronic tinnitus. This association may be influenced by proximal (e.g. modulations of HPA-axis activity) or distal factors (e.g. maladaptive coping behaviours) – both of which should be conceptualized within psychological stimulus-processing frameworks.

In-Database Data Imputation

Missing data is a widespread problem in many domains, creating challenges in data analysis and decision making. Traditional techniques for dealing with missing data, such as excluding incomplete records or imputing simple estimates (e.g., mean), are computationally efficient but may introduce bias and disrupt variable relationships, leading to inaccurate analyses. Model-based imputation techniques offer a more robust solution that preserves the variability and relationships in the data, but they demand significantly more computation time, limiting their applicability to small datasets. This work enables efficient, high-quality, and scalable data imputation within a database system using the widely used MICE method. We adapt this method to exploit computation sharing and a ring abstraction for faster model training. To impute both continuous and categorical values, we develop techniques for in-database learning of stochastic linear regression and Gaussian discriminant analysis models. Our MICE implementations in PostgreSQL and DuckDB outperform alternative MICE implementations and model-based imputation techniques by up to two orders of magnitude in terms of computation time, while maintaining high imputation quality.

Pengaruh Rasio Tunggakan Dan Rasio Penagihan Terhadap Profitabilitas (Survey Pada PT. Bank National Nobu Tbk Cabang Palembang Square Periode 2018-2020)

This study aims to analyze the effect of the arrears ratio and collection ratio on profitability at PT Bank National Nobu Tbk Palembang Square Branch. The sample selection was determined by purposive sampling from the year of 2018 to 2020. The analytical model used in this study was a multiple linear regression analysis model. Based on the results of research and analysis conducted, it can be concluded that partially the ratio of arrears has no effect on profitability at PT Bank National Nobu Tbk Palembang Square Branch. While the billing ratio has an effect on profitability at PT Bank National Nobu Tbk. Meanwhile, the ratio of arrears and the ratio of collections together affects the profitability of PT Bank National Nobu Tbk. This research is expected to be additional literature on the topic of corporate profitability.

Analysis Of The Influence of Organizational Culture, Work Discipline, And Job Satisfaction On Employee Performance At Pt. Bank Syariah Indonesia Office Area Semarang City

This study aims to analyze the significant effect of Organizational Culture, Work Discipline, and Job Satisfaction on Employee Work Productivity with Work Motivation as a Moderating Variable at Bank Syariah Indonesia Branch Office of the Student Army Soldiers in Semarang City, either simultaneously or partially. The population in this study were all employees of Bank Syariah Indonesia Semarang City Area Office, while the sample in this study were 34 respondents who became employees of Bank Syariah Indonesia Semarang City Area Office who were selected using a saturated sampling technique. The data used in this study are primary data obtained through distributing questionnaires. The analysis model used in this study was the Multiple Linear Regression Analysis Model, while the data analysis technique used a simultaneous significance test (F test), coefficient of determination test (R2), and partial significance test (t-test) which were processed with the SPSS 25.00 program. The results of proving the hypothesis and discussion show that the variables of organizational culture, work discipline, and job satisfaction simultaneously have a significant effect on employee performance at PT Bank Syariah Indonesia Semarang City Area Office. Partially, the organizational culture and work discipline variables each have a positive and significant effect, while the job satisfaction variable partially has a positive but not significant effect on employee performance at PT Bank Syariah Indonesia Semarang City Area Office.&#x0D; Keywords: Employee Performance, Organizational Culture, Work Discipline, Job Satisfaction

Applicability of the Cumberland Ankle Instability Tool in Elite Volleyball Athletes: A Cross-Sectional Observational Study.

The ease of administration of the Cumberland Ankle Instability Tool (CAIT) could represent a methodology for periodically evaluating athletes, preventing ankle instability injuries. This study aimed to achieve three objectives: (a) to evaluate the applicability of the CAIT scale in volleyball; (b) to explore whether ankle instability presents a greater risk in lower-level volleyball categories and whether elite athletes demonstrate an ability to mitigate this risk; and (c) to identify potential predictors of ankle instability. Eighty female volleyball players participated in this cross-sectional observational study. The CAIT was administered to evaluate the athletes belonging to some teams in Series A, B, and C. The Spearman's ranks correlation coefficient showed significant correlations between CAIT items. Additionally, the Cronbach's α showed a high internal consistency. Our results showed a significant difference between athletes who reported pain and those who did not (p < 0.001). The multiple linear regression model analysis showed that pain was a predictor of ankle instability (p < 0.001). Our findings suggest that the CAIT can be used to evaluate ankle stability in volleyball players. This scale could represent a valuable tool for implementing specific intervention programs to prevent ankle injuries in athletes.

GripAble: Interrater reliability and normative grip strength of UK population

BackgroundHand grip strength is an established indicator of individual health status and is used as a biomarker for predicting mortality, disability, and disease risks. GripAble hand grip dynamometer offers a modernized approach to measuring grip strength with its digital and high-accuracy measurement system. PurposeThis study aimed to (1) assess the interrater reliability of maximum grip strength (MGS) measurement and (2) establish GripAble’s own gender-, age group- and hand-stratified normative MGS reference values of the adult UK population. Study DesignCross-sectional study design. MethodsInterrater reliability among three raters assessing 30 participants across diverse age groups was measured using the intraclass correlation. In the second study, 11 investigators gathered MGS data from 907 participants across diverse age groups and gender. The average, standard deviation, minimum, median, maximum, and percentiles of MGS were computed for each gender, age group, and hand (L/R). The relationship between MGS and age was examined using quantile regression analysis. Additionally, generalized linear model regression analysis was conducted to explore the influence of participants' demographics (gender, hand [L/R], hand length, hand circumference, age, weight, and height) on MGS. ResultsMGS measurements between raters showed excellent agreement (ICC(2,1) = 0.991, 95% confidence interval [0.98, 1.0]). The MGS and age relationship follows a curvilinear pattern, reaching a peak median MGS values of up to 20 kg between 30 and 49 years for females and up to 35 kg between 30 and 59 years for males. Subsequently, MGS declined as age advanced. Gender and hand (L/R) emerged as the primary factors influencing MGS, followed by hand length, hand circumference, age, weight, and height. ConclusionsThe presented normative MGS reference values can be used for interpreting MGS measurements obtained from adults in the United Kingdom using GripAble. This study, along with previous studies on GripAble devices, confirms GripAble as a reliable and valid tool for measuring MGS.

Comparative analysis of different approaches to the Ukrainian residential property market evolution modelling and its forecast for the years 2019–2024

PurposeThis study aims to provide a comprehensive analysis of various approaches to the residential property market evolution modelling and to examine the macroeconomic fundamentals that have shaped this market development in Ukraine in recent years.Design/methodology/approachThe study uses a comprehensive data set encompassing relevant macroeconomic indicators and historical apartment prices. Multifactor linear regression (MLR) and ridge regression (RR) models are constructed to identify the impact of multiple predictors on apartment prices. Additionally, the ARIMAX model integrates time series analysis and external factors to enhance modelling and forecasting accuracy.FindingsThe investigation reveals that MLR and RR yield accurate predictions by considering a range of influential variables. The hybrid ARIMAX model further enhances predictive performance by fusing external indicators with time series analysis. These findings underscore the effectiveness of a multidimensional approach in capturing the complexity of housing price dynamics.Originality/valueThis research contributes to the real estate modelling and forecasting literature by providing an analysis of multiple linear regression, RR and ARIMAX models within the specific context of property price prediction in the turbulent Ukrainian real estate market. This comprehensive analysis not only offers insights into the performance of these methodologies but also explores their adaptability and robustness in a market characterized by evolving dynamics, including the significant influence of external geopolitical factors.

Effect of repeated vitrification of human embryos on pregnancy and neonatal outcomes

BackgroundRepeated cryopreservation of embryos should occasionally be considered when embryos were not suitable for transfer. The effect of re-cryopreservation on embryos remains contentious.MethodsThis retrospective cohort study aimed to evaluate the pregnancy and neonatal outcomes of twice vitrificated blastocyst derived from once vitrified embryos. Total 410 vitrified-warmed blastocyst transfer cycles were divided into two groups according to the times of embryo vitrification: (1) vitrified blastocysts derived from fresh blastocysts (control group, n = 337); (2) twice vitrified blastocysts derived from once vitrified embryos (n = 73). The primary outcome was live birth rate. Multivariable logistic or linear regression analysis model was performed to describe the association between embryo cryopreservation times and clinical outcomes.ResultsNo difference was observed in female age at retrieval and transfer, infertility period, body mass index (BMI), infertility type, endometrial thickness, and embryo transfer numbers between the two groups. The pregnancy outcomes of embryos in repeated cryopreservation group were comparable to those of embryos in control group, including implantation rate, clinical pregnancy rate, and live birth rate. In multivariate logistic regression analysis, the cryopreservation times did not affect the outcomes of biochemical pregnancy, clinical pregnancy, and live birth. Moreover, there was no difference in gestational age, birthweight and sex ratio of singleton newborns between groups. After correcting several possible confounding variables, no significant association was observed between cryopreservation times and neonatal birthweight.ConclusionIn conclusion, pregnancy and neonatal outcomes achieved with twice vitrified blastocyst transfer were comparable to those achieved with vitrified blastocyst transfer in control group.

Individual and interlinked SDGs: higher education institutions and metro area sustainability performance

PurposeRecent scholarship has explored higher education institutions’ (HEIs) role in transitioning to a sustainable society, but empirically, questions remain regarding their impact on the sustainability of surrounding areas. This study aims to examine the correlation between HEIs’ sustainability actions and local sustainability performance.Design/methodology/approachThis study uses a linear regression model and principal component analysis to examine the sustainability performance of 105 US metropolitan statistical areas (MSAs) using the US cities sustainable development goal (SDG) index, which hosts 427 HEIs known for sustainability efforts. The weighted HEI sustainability performance score is calculated based on the QS sustainability universities ranking.FindingsThe correlation between MSA and HEI sustainability performance exhibits a mix of positive and negative associations, with individual and interlinked SDGs serving as proxies. These correlations encompass a wide range of goals, from economic aspects of SDG 1, 2, 3, 7, 9, social aspects of SDG10 and 16, to socio-environmental aspects of SDG12.Research limitations/implicationsFurther exploration is needed to identify the causal mechanisms behind associations between SDG measures and HEI sustainability performance, whether influenced by the institution, the individual or both.Practical implicationsThis study suggests that HEIs are already associated with some aspects of community sustainability, but greater contributions to a broader array of sustainability measures are possible.Social implicationsThe correlation found between HEI sustainability actions and SDG10, 12 and 16 index performance in an MSA highlights a connection between HEIs and the attainment of societal goals.Originality/valueTo the best of the authors’ knowledge, this study is the first to examine the correlation between HEI and MSA sustainability performance in the US through individual and interlinked SDG proxies. It provides novel empirical evidence that demonstrates an association between HEI and some aspects of community sustainability performance.

THE INFLUENCE OF THE STANDARD OF LIVING ON BREAST CANCER MORBIDITY AND MORTALITY IN EUROPE IN THE PERIOD BETWEEN 2017 AND 2019

This paper explores the hypothesis that there is a connection between the standard of living (expressed by the Human Development Index) and the standardised rates of breast cancer incidence and mortality in the female population of Europe. The examination whether the standard of living has an impact on breast cancer incidence and mortality is based on the use of bivariate correlation, as the simplest form of quantitative analysis of two variables which seeks to determine the empirical relationship between them. The second part of the analysis involves the determination of linear relationships using simple linear regression analysis models testing the average impact of the Human Development Index on the standardised breast cancer incidence and mortality rates. The analysis takes into account the importance of yet another socioeconomic factor – response to screening, which can have a major impact on breast cancer mortality.

Research on plasma modified fly ash denitration

The effects of reactor parameters and process parameters on the denitration rate of modified fly ash in different gas atmospheres were studied by using a dielectric barrier plasma reactor and using orthogonal experiments. The characteristics of modified fly ash were analyzed using scanning electron microscope, specific surface area analyzer, X-ray diffraction, Boehm titration and Fourier transform infrared spectroscopy. The experimental data were processed by variance analysis and linear regression to induce the denitration mechanism. R2 of the linear regression analysis model is 0.789, which means that the adsorption pore size, acid groups and basic group can explain 78.9% of the change in denitration rate. The basic group will have a significant positive impact on the denitration rate, and the adsorption pore size and acidic group will have a significant negative impact on the denitration rate. Through variance analysis of the experimental data, it was found that the input power and discharge gap have a significant effect on the denitration rate, but the ionization time and discharge length have no significant effect. The input power affects the denitration rate by impacting the basic group, and the discharge gap affects the denitration rate by influencing the adsorption pore size. There are three denitration mechanisms on the surface of fly ash: physical adsorption, chemical adsorption and absorption process. Among them, chemical adsorption is the main mechanism of action, accounting for approximately 60.86%.

Analisis Harga, Kualitas Produk dan Kepuasan Terhadap Loyalitas Pelanggan Mcdonald Gresik: Studi pada Pengguna Aplikasi Limited Time Offer

This study aims to examine Price, Product Quality, Satisfaction with Mcdonalds Gresik Customer Loyalty in the use of the Limited Time Offer application. The population in this study is all people who use or customers who use the Limited Time Offer application in Gresik using the nonprobability sampling method of 76 respondents as a sample. The source of data in this study is primary data, which is the result of distributing questionnaires to respondents. The type of data used is subjective data in the form of written responses as questionnaire responses. The analysis model used in this study is a multiple linear regression analysis model. To determine the significance of research variables partially on work productivity, t-test techniques are used. By using a level of 5% or 0.05. The results show that Price affects Loyalty but Product Quality and Satisfaction do not affect McDonalds Gresik Customer Loyalty.