Pearson Product Moment Correlation Research Articles

Undergraduate Student Nurses' Satisfaction, Self-confidence, and Perception of High-fidelity Simulation-based Learning on Critically-ill Patients.

Replicating critical care practice settings in high-fidelity simulation (HFS) provides more learning opportunities to develop competencies, improve self-confidence, and learner satisfaction in a safe environment. Simulation is increasingly adopted globally as an alternative teaching strategy. Yet, data on the HFS experience of Filipino undergraduate nursing students is limited. This study describes the satisfaction, self-confidence, and perception of undergraduate nursing students on the use of HFS-based learning on critically-ill adult and pediatric patients requiring advanced life support (ALS). A quantitative, descriptive, correlational study was conducted using purposive sampling on all fourth-year BS Nursing students enrolled in Critical Care Nursing course in a state university. Data were collected through an online survey on demographic data, and the students' perceptions towards high-fidelity simulation-based learning (SBL) using three tools, namely: Simulation Design Scale, Educational Practices Questionnaire, and Student Satisfaction and Self-confidence in Learning. T-test and ANOVA were used to compare the means of the variables. Bivariate analysis (Pearson's product-moment correlation) was performed to find the relationship between variables. A total of 86 students participated in the survey. Overall, the students were highly satisfied with the simulation experience (4.46 out of 5.0, SD=0.47), and had high ratings of self-confidence in SBL (4.44 out of 5.0, SD=0.42). Overall satisfaction level was positively related to student's perception on simulation design (r=0.61, p<0.01) and educational practices (r=0.59, p<0.01). Similarly, the students' overall self-confidence with SBL was also positively correlated with their perceptions of the simulation design (r=0.32, p<0.01), and educational practices (r=0.34, p<0.01). Effective use of technology through HFS-based learning is useful in increasing satisfaction and self-confidence of Filipino undergraduate nursing students in caring for critically-ill patients needing ALS. Educators must highly consider all parameters of simulation design and educational practices in planning and implementing HFS-based learning to achieve meaningful learner experience.

Developing a novel permeability prediction method for tight carbonate reservoirs using borehole electrical image logging

Predicting permeability accurately is crucial for effective hydrocarbon extraction, but the intricate pore structures of tight carbonates, resulting from sedimentation, diagenesis, and tectonic activity, present significant challenges. Based on borehole electrical image logging and fractal theory, we developed a method to calculate the fractal dimension of the porosity spectrum to characterise the complexity of the pore structure of the reservoir. Fractal features of the porosity spectra were studied and fractal parameters were calculated, such as the left ( D f_left), middle ( D f_middle), and right fractal dimension ( D f_right). A permeability prediction model was proposed based on fractal parameters by investigating the linear relationship between fractal parameters and core permeability. The results indicate that D f_left and permeability have a coefficient of determination (R2) of 0.78, whereas R2 between porosity and permeability is only 0.03. D f_middle and D f_right have little correlation with core permeability. The prediction results of the D f_left -based permeability model are in good agreement with the experimental data with Pearson product-moment correlation coefficient of 0.93 in the field applications. Our findings suggest that large pores primarily contribute to the permeability of tight carbonates since D f_left corresponds to the macroporous part of the porosity spectrum. This study enhances our understanding of the factors that influence permeability and provides a useful tool for predicting permeability in tight carbonate reservoirs.

Work Balance in the Phase of a Depressed Economy and Employees Job Satisfaction in Selected Organizations in Rivers State

This study examined the relationship between work balance in the phase of a depressed economy and employee’s job satisfaction in selected organizations in rivers state, Nigeria. The research aim to determine the extent to which strategies to maintain work balance impact job satisfaction in the face of economic challenges. The study employed a correlational research design to explore this relationship, focusing on organizations in Rivers State. The population of the study consists of employees in selected organizations, with a sample size of 76 employees determined through a stratified random sampling technique. Data is collected using a self-structured questionnaire titled: Work Balance in a Depressed Economy Questionnaire (WBDEQ) and Employees’ Job Satisfaction Questionnaire (EJSQ). The questionnaire distribution and collection to selected employees took place over a period of four months ranging from October 2023 to February 2024. Participants were assured of the confidentiality of their responses and their right to withdraw from the study at any time. During this period, the 76 copies of the instrument were distributed, only 69 were returned. Of these, 4 were not correctly filled out, leaving the researcher with only 65 valid copies that were used for data analysis. To ensure content validity, a pilot study was conducted with a subset of participants to test the validity and reliability of the questionnaire to make necessary adjustments. Thereafter, a reliability index of .87 was calculated using Cronbach Alpha method based on the outcomes of this analysis. Descriptive statistics, such as mean and standard deviation, was used to answer the research questions, while inferential statistics, such as Pearson's Product-Moment Correlation (PPMC), was utilized to test hypotheses at a significance level of 0.05. The statistical analysis was conducted using SPSS version 23.0 software. The findings revealed a significant positive relationship between strategies to maintain work balance in a depressed economy and employees' job satisfaction. This suggested that organizations implementing effective strategies to address work balance in challenging economic times are likely to experience higher levels of job satisfaction among their employees. The study concluded that by addressing work balance issues, organizations can improve employee job satisfaction, leading to increased productivity and a more positive organizational culture. Recommendations are made for organizations in Rivers State to focus on developing and implementing strategies that support work balance to improve overall employee job satisfaction.

Electronic Marketing Techniques and Business Success of Food and Beverage Manufacturing Firms in South-South, Nigeria

This study examined electronic marketing techniques and business success of food and beverage manufacturing firms in south-south, Nigeria. This study adopted the correlational research design; the population of this study consisted of 28 registered food and beverage manufacturing firms in South-South, Nigeria. One hundred and ninety-six (196) managers and senior marketing personnel of the registered food and beverage manufacturing firms on the basis of 7 managers and senior marketing personnel per headquarter branch constituted the study subjects. The responses received from the data were analyzed using mean and standard deviation while the hypotheses were tested using the Pearson Product Moment Correlation. Based on the results of the analysis carried out, it was confirmed that electronic marketing has a positive and significant relationship with business success of food and beverage manufacturing firms in the South-South zone of Nigeria. Based on these findings, it was concluded that electronic marketing has a positive and significant relationship with business success of food and beverage manufacturing firms in the South-South zone of Nigeria. The study recommends amongst others that food and beverage manufacturing firms in Nigeria, particularly those that are currently experiencing low business success, should adopt electronic marketing such as content marketing, e-mail marketing and social media marketing as it would increase their level of business success.

LIFESTYLE AND BEHAVIOR, NUTRITIONAL STATUS, AND DEPRESSION SYMPTOMS IN RELATION TO THE ACADEMIC ACHIEVEMENT OF JUNIOR AND SENIOR HIGH SCHOOL STUDENTS

This study investigated the relationship between lifestyle and behavior, nutritional status, depression symptoms, and academic achievement of junior and senior high school students in selected secondary schools in the Division of Malaybalay City. The descriptive-correlational research design was employed. Data were gathered from 580 students chosen using total random sampling and were analyzed using descriptive statistics such as mean, frequency counts and percentage, Pearson-product moment correlation, and multiple linear regression. The findings revealed that in lifestyle and behavior, students’ physical activity involved 3 to 4 times of physical exercise per week. Their sleep patterns showed that they felt sleepy only 1 to 2 times weekly during their activities. Their screen time usage averaged 2 to 3 hours for different electronics, with mobile phones or smartphones more often used at over 3 hours. Moreover, the students’ nutritional status through their dietary behavior in terms of food choice revealed that they often put importance on choosing their foods. The diversity of their daily diet included vegetables, starches (e.g., rice and rice products) and meat/fish often, and fruits, milk, fats, sugar and beverage occasionally. The students’ anthropometric measurements had an average weight of 95.90 lbs. and an average height of 178.65 cm. The depression symptoms experienced by the students were borderline to moderate depression levels. The study also found that the students’ academic achievement was very satisfactory. Furthermore, correlation and regression analyses showed that the variables, sleep patterns and depression symptoms, negatively and significantly impact students’ academic achievement. Therefore, less frequency of daytime sleepiness and fewer depression symptoms could increase academic performance. Hence, these findings have implications for students’ academic success and well-being, especially in improving their sleep quality and supporting effective interventions for depression. KEYWORDS: Lifestyle and behavior, nutritional status, depression symptoms, academic achievement

ON THE JOB TRAINING DESIGN IN IMPROVING PERFORMANCE AT 4.0 ERA: STUDY ON AUTOMOTIVE INDUSTRY IN INDONESIA

At 4.0 era of industrial revolution, training’s role becomes more important for organizations because it will increase effectiveness and efficiency not only for individuals but for organizations. Many things affect performance, but the most important factor in improving performance is training. This study aims to evaluate On the Job Training design implementation at PT YXZ and see how the variables in the OJT design contribute to improving employee performance. Sampling technique method is probability random sampling with the Slovin formula according to the number of employees of each unit. The population in this study were all permanent employees with a total of 1,665. Samples were taken from various positions and tenure. The number of samples obtained was 323 employees. The results of the validity and reliability test are known that the Cronbach’s Alpha value of each indicator is above 0.9 so it can be said that all indicators have a very good level of reliability. The Pearson Product Moment correlation value is above 0.8 so that the measuring instrument is considered valid. Based on the results of the frequency distribution, it was found that according to OJT, 70.51% respondents had been implemented quite well. The results of the simultaneous regression test resulted in a Pvalue = 0.000 (P&lt; 0.05) which means that Ho was rejected and Ha was accepted. The value of how much influence the overall indicator on the effectiveness of OJT is displayed in the regression model as follows, OJT Factor Value = 2,422 + 0.015 (total value of OJT Implementation items). The results of this study prove that the design model in OJT have a significant influence in to performance.

Psychometric Properties of the Academic Self-Efficacy Scale for Higher Secondary Students

In response to the scarcity of grade-specific academic self-efficacy scale, the present study was aimed to adapt a scale for measuring academic self-efficacy for higher secondary students in the context of Bangladesh. Main objective of this study was to assess psychometric properties of the Academic Self-efficacy Scale for Bangladeshi higher secondary students. This measure was administered on a sample 207 higher secondary students who were selected from 3 administrative districts of Bangladesh by non-probability sampling techniques. Psychometric properties were assessed through item analysis (item-total correlation, Cronbach’s Alpha and split-half reliabilities), differential item function, and Pearson product moment correlation coefficient (Predictive validity). One item excluded from the scale as this item had insufficient item-total correlation. Findings revealed that this scale had sufficient internal consistency reliabilities and predictive validity and suggested that this could be applicable for assessing academic self-efficacy of higher secondary students in Bangladesh. The Chittagong Univ. J. B. Sci.,Vol. 10(1 and2):149-156, 2020

ChickenSense: A Low-Cost Deep Learning-Based Solution for Poultry Feed Consumption Monitoring Using Sound Technology

This research proposes a low-cost system consisting of a hardware setup and a deep learning-based model to estimate broiler chickens’ feed intake, utilizing audio signals captured by piezoelectric sensors. The signals were recorded 24/7 for 19 consecutive days. A subset of the raw data was chosen, and events were labeled in two classes, feed-pecking and non-pecking (including singing, anomaly, and silence samples). Next, the labeled data were preprocessed through a noise removal algorithm and a band-pass filter. Then, the spectrogram and the signal envelope were extracted from each signal and fed as inputs to a VGG-16-based convolutional neural network (CNN) with two branches for 1D and 2D feature extraction followed by a binary classification head to classify feed-pecking and non-pecking events. The model achieved 92% accuracy in feed-pecking vs. non-pecking events classification with an f1-score of 91%. Finally, the entire raw dataset was processed utilizing the developed model, and the resulting feed intake estimation was compared with the ground truth data from scale measures. The estimated feed consumption showed an 8 ± 7% mean percent error on daily feed intake estimation with a 71% R2 score and 85% Pearson product moment correlation coefficient (PPMCC) on hourly intake estimation. The results demonstrate that the proposed system estimates broiler feed intake at each feeder and has the potential to be implemented in commercial farms.

Mediating Effect of Moral Sensitivity on the Relationship between Appreciative Leadership of School Principals and Comprehensive Teaching Approach of Teachers

The current study aimed to evaluate whether moral sensitivity mediates the relationship between appreciative leadership of school principals and comprehensive teaching approach of teachers. In this study, the researcher selected the 201 secondary school teachers in Governor Generoso South District in Davao Oriental as the respondents of the study. Stratified random sampling technique was utilized in the selection of the respondents. Non-experimental quantitative research design using descriptive-correlational method was employed. The data collected were subjected on the following statistical tools: Mean, Pearson Moment Product Correlation, and Sobel z-Test. Findings revealed that appreciative leadership of school principals, comprehensive teaching approach, and moral sensitivity of teachers in Governor Generoso South District in Davao Oriental were rated as moderately extensive. Further, correlation analysis demonstrated that there is significant relationship among appreciative leadership of school principals, comprehensive teaching approach, and moral sensitivity of teachers in Governor Generoso South District in Davao Oriental. Evidently, Sobel z-test proved that moral sensitivity partially mediated the relationship between appreciative leadership of school principals and comprehensive teaching approach of teachers in Governor Generoso South District in Davao Oriental. In other words, moral sensitivity is a significant mediator on the relationship between appreciative leadership of school principals and comprehensive teaching approach of teachers.

The Role of Sympathetic School Culture as Moderator on Managerial Conceptual Ability and Teaching Engagement of Teachers

The current study was set evaluate whether sympathetic school culture significantly moderates the interaction between managerial conceptual ability and teaching engagement of teachers. In this study, the researcher selected the 198 public elementary school teachers in Talomo-A District, Davao Oriental as the respondents of the study. Stratified random sampling technique was utilized in the selection of the respondents. Non-experimental quantitative research design using descriptive-correlational method was employed. The data collected were subjected to the following statistical tools: Mean, Pearson Moment Product Correlation, and Hierarchical Regression Analysis. Descriptive analysis showed that managerial conceptual ability and teaching engagement of teachers were described as extensive, while sympathetic school culture was rated as moderately extensive. Further, partial correlation analysis demonstrated that there is a significant relationship between managerial conceptual ability and teaching engagement of teachers in Talomo-A District, Davao City when moderated by sympathetic school culture. Evidently, heirarchical regression analysis proved that sympathetic school culture significantly moderates the interaction between managerial conceptual ability and teaching engagement of teachers in Talomo A District, Davao City. In other words, sympathetic school culture is a significant moderator on the between managerial conceptual ability and teaching engagement of teachers.

Occupational Stress Management of Truck Drivers and its Effect on Road Safety: Evidence from Petroleum Tanker Drivers in Lagos State, Nigeria

The feeling of apathy among truck drivers regarding managing their health and work stress is endangering lives and properties on Lagos roads. The study examined occupational stress management of truck drivers and on road safety. The study adopted the descriptive survey research designusing a complete enumeration method (Census).Copies of the questionnaire were distributed to fifty truck drivers who are executive members of the union in the state. The questionnaire was designed on a four-point Likert scale and the study used Pearson Product Moment Correlation and Multiple regression in analyzing the collected data. The findings revealed that there is astrong relationship between fatigue and road safety and a weak relationship between inattention and road safety. The findings further revealed that fatigue and inattention account for 47.8% of road safety issues experienced by truck drivers in Lagos State. The study concluded that the indicators identified for the independent variable are good measures of the occupational stress construct. However, the study recommended among others that employers of truck drivers and their unions should enlighten them and create more awareness of the need for them to pay more attention to their health to ensure the safety of lives and properties on Lagos roads.

Hubungan Kecerdasan Sosial dengan Perilaku Altruisme pada Siswa SMP Garuda Jakarta

This study was motivated by the phenomenon of low social intelligence related to altruism behavior in Garuda Jakarta Middle School students. The purpose of this study is to determine the relationship of social intelligence with altruism behavior in Garuda Jakarta Middle School students. The study was conducted using a quantitative approach with correlational methods. The population and research sample amounted to 78 students using saturated samples determined based on census techniques. Data analysis techniques are carried out by testing the analysis requirements which include the normality test and linearity test and hypothesis test using the Pearson Product Moment Correlation Formula. The normality test results show ASYM. Sig of 0.915&gt; 0.05, so that data is in the normal distribution area. The linearity test results show the sig value in the deviation from linearity of 0.414&gt; 0.05 which means there is a linear relationship between the social intelligence variable and the altruism behavior variable. Furthermore, the results of the hypothesis test show that SOIAL intelligence is positively related to altruism behavior, with a significance value (P) = 0,000 &lt;0.05 and the correlation coefficient (R) value of 0.619. That is, the higher the level of social intelligence of students, the higher the altruism behavior. Vice versa, the lower the social intelligence of students, the lower the altruimening behavior

Hubungan Kecerdasan Sosial dengan Perilaku Altruisme pada Siswa SMP Garuda Jakarta

This study was motivated by the phenomenon of low social intelligence related to altruism behavior in Garuda Jakarta Middle School students. The purpose of this study is to determine the relationship of social intelligence with altruism behavior in Garuda Jakarta Middle School students. The study was conducted using a quantitative approach with correlational methods. The population and research sample amounted to 78 students using saturated samples determined based on census techniques. Data analysis techniques are carried out by testing the analysis requirements which include the normality test and linearity test and hypothesis test using the Pearson Product Moment Correlation Formula. The normality test results show ASYM. Sig of 0.915&gt; 0.05, so that data is in the normal distribution area. The linearity test results show the sig value in the deviation from linearity of 0.414&gt; 0.05 which means there is a linear relationship between the social intelligence variable and the altruism behavior variable. Furthermore, the results of the hypothesis test show that SOIAL intelligence is positively related to altruism behavior, with a significance value (P) = 0,000 &lt;0.05 and the correlation coefficient (R) value of 0.619. That is, the higher the level of social intelligence of students, the higher the altruism behavior. Vice versa, the lower the social intelligence of students, the lower the altruimening behavior

Transforming Key Industries in Rivers State: The Impact of Automation and Artificial Intelligence on the Future of Work

The study investigated automation, artificial intelligence and the future of work in key industries in Rivers State. Four research questions and four corresponding hypotheses were formulated to understand how AI automation relationship s job security, skill requirements, workforce adaptation, employee well-being, and work-life balance in these industries. The research uses a correlational research design and the target population comprises employees from key industries in Rivers State, including manufacturing, agriculture, healthcare, and technology sectors. A stratified random sampling technique was employed to draw a sample size of 54 employees across these industries. The self-structured questionnaire titled “Automation and Artificial Intelligence Integration in Industries Questionnaire (AAIIIQ)” and “Future of Work Questionnaire (FWQ)” using a 4-point Likert scale ranging from Very Low Extent (1) to Very High Extent (4). The questionnaire was distributed within the dry season of November 2023 to February 2024. During this period, 54 copies were distributed, but only 49 were returned. Of these, 2 were not correctly filled out, leaving the researcher with only 47 valid copies that were used for data analysis. To ensure content validity, the questionnaire was reviewed by experts in the field of Organizational Behaviour and Information and Communication Technology (ICT). The reliability of the instrument was assessed using the test-retest method with a sample of 10 participants which were not part of the main sample size, but within the study’s population. The questionnaire was distributed twice at a two-week interval, and the responses were analyzed using the Pearson Product-Moment Correlation (PPMC). A reliability index of .87 was calculated based on the outcomes of this analysis. Mean and standard deviation, was used to answer the research questions, Pearson’s Product-Moment Correlation (PPMC), was utilized to test hypotheses at a significance level of 0.05. The findings underscore the critical importance of considering the effects of AI automation on job security, workforce adaptation, employee well-being, and organizational strategies. Conclusion, the study’s findings underscore the transformative nature of AI automation on the future of work in key industries in Rivers State. By recognizing and responding to these changes, organizations can harness the full potential of AI automation while mitigating its potential negative impacts. The study recommended that organizations should prioritize employee training and development, offering opportunities for upskilling and reskilling to ensure their workforce remains competitive and adaptable to technological advancements.

Transforming Key Industries in Rivers State: The Impact of Automation and Artificial Intelligence on the Future of Work

The study investigated automation, artificial intelligence and the future of work in key industries in Rivers State. Four research questions and four corresponding hypotheses were formulated to understand how AI automation relationship s job security, skill requirements, workforce adaptation, employee well-being, and work-life balance in these industries. The research uses a correlational research design and the target population comprises employees from key industries in Rivers State, including manufacturing, agriculture, healthcare, and technology sectors. A stratified random sampling technique was employed to draw a sample size of 54 employees across these industries. The self-structured questionnaire titled “Automation and Artificial Intelligence Integration in Industries Questionnaire (AAIIIQ)” and “Future of Work Questionnaire (FWQ)” using a 4-point Likert scale ranging from Very Low Extent (1) to Very High Extent (4). The questionnaire was distributed within the dry season of November 2023 to February 2024. During this period, 54 copies were distributed, but only 49 were returned. Of these, 2 were not correctly filled out, leaving the researcher with only 47 valid copies that were used for data analysis. To ensure content validity, the questionnaire was reviewed by experts in the field of Organizational Behaviour and Information and Communication Technology (ICT). The reliability of the instrument was assessed using the test-retest method with a sample of 10 participants which were not part of the main sample size, but within the study’s population. The questionnaire was distributed twice at a two-week interval, and the responses were analyzed using the Pearson Product-Moment Correlation (PPMC). A reliability index of .87 was calculated based on the outcomes of this analysis. Mean and standard deviation, was used to answer the research questions, Pearson’s Product-Moment Correlation (PPMC), was utilized to test hypotheses at a significance level of 0.05. The findings underscore the critical importance of considering the effects of AI automation on job security, workforce adaptation, employee well-being, and organizational strategies. Conclusion, the study’s findings underscore the transformative nature of AI automation on the future of work in key industries in Rivers State. By recognizing and responding to these changes, organizations can harness the full potential of AI automation while mitigating its potential negative impacts. The study recommended that organizations should prioritize employee training and development, offering opportunities for upskilling and reskilling to ensure their workforce remains competitive and adaptable to technological advancements.

Predictors of Couple Burnout among Turkish Married Individuals.

Couple burnout has been linked to several negative consequences for both individuals and couples. Identifying the factors that predict couple burnout is essential for developing effective interventions to prevent or lessen its detrimental impact on marital relationships. The aim of this cross-sectional study was to investigate sociodemographic factors, relationship self-efficacy, happiness, and self-compassion as predictors of couple burnout in Turkish married individuals. A convenient sample of 401 married individuals completed a questionnaire that comprised a Personal Information Form, Couple Burnout Measure-Short Version, Relationship Self-Efficacy Scale, Self-Compassion Scale, and Single-Item Happiness Scale. The data were analyzed using descriptive statistics, Pearson's product-moment correlation analysis, linear multiple regression analysis, and relative importance analyses. The results of this study suggest that being women, having a higher number of offspring, and lower levels of relationship self-efficacy, self-compassion, and happiness were significant positive predictors of couple burnout among married individuals. The type of marriage, monthly income, and duration of marriage were not significant predictors of couple burnout. Moreover, the results of the relative importance analyses consistently demonstrated that happiness was the strongest predictor of couple burnout among married individuals. The research findings demonstrate the multidimensional nature of couple burnout and provide a more nuanced understanding of its predictive factors. These results have potential implications for the development of evidence-based and targeted interventions in relationship education programs.

School Well-Being Boosts Student Motivation in Indonesia

This study examines the relationship between school well-being and learning motivation among Islamic Vocational High School students in Tulangan, Sidoarjo. Using a quantitative correlational method, 222 students were selected from a population of 497 through stratified random sampling. Validated scales measured school well-being and learning motivation, with data analyzed using Pearson product-moment correlation via JASP software. Results showed a significant positive correlation (r=0.432, p&lt;0.001), indicating that higher school well-being is associated with increased learning motivation. These findings suggest that improving school infrastructure and resources can enhance student motivation, highlighting the need for collaborative efforts to boost educational quality. Highlight: Positive correlation between school well-being and learning motivation identified. Enhanced infrastructure boosts student motivation. Collaboration with parents and institutions crucial for educational quality. Keyword: School well-being, learning motivation, Islamic vocational students, quantitative study, Pearson correlation

Association between Pericarotid Fat Density and Positive Remodeling in Patients with Carotid Artery Stenosis.

Background/Objectives: The underlying mechanism of the potential involvement of inflammatory crosstalk between pericarotid fat and vascular layers in atherosclerosis pathogenesis is unclear. We investigated the association between pericarotid fat density and positive remodeling and inflammatory markers in carotid stenosis. We hypothesized that pericarotid fat density might serve as a marker of plaque inflammation in a clinical setting. Methods: We evaluated the stenosis degree and pericarotid fat density in 258 patients with carotid plaques. Plaque composition was examined, and the correlation between pericarotid fat density and expansive remodeling was investigated. Pearson's product-moment correlation coefficient was used to examine the relationship between pericarotid fat density and the expansive remodeling ratio. We also evaluated the relationship of pericarotid fat density with plaque composition, degree of stenosis, and macrophage and microvessel counts by. The subgroup analysis compared these factors between symptomatic mild carotid stenosis. Results: The pericarotid fat density was -63.0 ± 11.1 HU. The carotid fat densities were -56.8 ± 10.4 HU in symptomatic and -69.2 ± 11.4 HU in asymptomatic lesions. The pericarotid fat density values in intraplaque hemorrhage, lipid-rich necrotic core, and fibrous plaque were -51.6 ± 10.4, -59.4 ± 12.8, and -74.2 ± 8.4 HU, respectively. Therefore, the expansive remodeling ratio was 1.64 ± 0.4. Carotid fat density and expansive remodeling ratio were correlated. Immunohistochemistry showed high macrophage and microvessel levels (143.5 ± 61.3/field and 121.2 ± 27.7/field, respectively). In symptomatic mild carotid stenosis, pericarotid fat density was correlated with other inflammatory factors. The pericarotid fat density and expansive remodeling ratio (2.08 ± 0.21) were high in mild stenosis (-50.1 ± 8.4 HU). Conclusions: Pericarotid fat and intraplaque components were well correlated. Carotid fat density may be a marker of plaque inflammation in carotid plaques.

Influence of School-climate on Science Students’ Performance in Ibadan, Oyo State, Nigeria

This study investigated the Influence of School-climate on Science Students’ Performance in Ibadan, Oyo State, Nigeria. A descriptive survey design was adopted for the study with a focus on Senior Secondary School II Science Students, which necessitated the use of questionnaires for data collection. The instrument was validated and tested for reliability using Cronbach Alpha statistic with 0.82 reliability value. Result formats were also used for collecting the average scores of 250 participating science students in science subjects (Biology, Chemistry, Physics, and Further Mathematics) from the school authorities concerned. Data collected was analyzed using frequency counts, Mean and Pearson Product Moment Correlation Coefficient. Findings from the study showed that, school-climate influences the academic performance of science students in Ibadan, Oyo State, Nigeria leading to the need to enhance proper constructs for better performance in science subjects. The study concluded that conducive school-climates play significant roles in the performance of science students, which invariably implies that improved students’ performance can be achieved when school authorities pay deliberate attention to improving school-climate conditions. It was recommended among others that, schools should endeavor to create conducive environment such as provision of basic facilities, clear and effective communication channels and a cordial teacher-students relationship to facilitate learning and to improve students’ academic performance in science subjects.

Enhancing Nurse Well-Being: The Role of Self-Compassion in Flourishing

This study explores the relationship between self-compassion and flourishing among nursing staff at RSUD Salatiga. Utilizing a quantitative correlational design, data were collected from 131 nurses through purposive sampling and analyzed using Pearson's Product Moment Correlation. The self-compassion and flourishing variables were measured using the Self Compassion Scale Short Form (SCS-SF) and PERMA profiler, respectively. Results indicated a significant positive correlation (r = 0.266, p = 0.002), with self-compassion contributing 7.1% to the variance in flourishing. Descriptive statistics revealed that 33.6% of participants had high self-compassion, and 62.6% had very high flourishing. Most participants were women (80.2%) and adults aged 20-40 years (56.5%), groups typically associated with higher flourishing levels. The findings underscore the importance of self-compassion in enhancing nurses' well-being, supporting previous research on its role in emotional regulation, stress reduction, and overall mental health. Despite administrative challenges, this study offers valuable insights into promoting self-compassion to improve the quality of patient care in healthcare settings.