Linear Regression Coefficient Research Articles

Portable X-ray fluorescence spectrometry: a cost-effective method for analysing trace metals in deposited dust.

For projects requiring extensive environmental sampling and rapid decision-making to identify trace metal contamination using dust wipes, the cost and time required for wet chemistry analysis can be prohibitive. Under such circumstances there is a need for a suitable screening method that is cost-effective, efficient, and portable. To address this need, this study investigated the utility of portable X-ray fluorescence (pXRF) for the analysis of trace metals in dust wipes. Here, 316 dust wipe samples from three different geographical settings co-located with mining and smelting operations were investigated for their trace metal loadings (μg m-2) of arsenic (As), chromium (Cr), copper (Cu), iron (Fe), manganese (Mn), nickel (Ni), lead (Pb), and zinc (Zn) using pXRF. Results collected using pXRF were compared against inductively coupled plasma mass spectrometry (ICP-MS) concentrations using matched dust wipes (n = 87) to assess reproducibility. A subset of dust wipes (n = 4) were subject to different pXRF analytical scenarios (ranging from 1 to 12 pXRF measurements) using a standardised test duration of 30 seconds to identify the most efficient number of tests for analytical precision. Conducting four pXRF tests on a single wipe (total exposure time of 120 seconds) returned comparable results to ICP-MS and was adopted for analysis of all samples. Results from dust wipes analysed with both ICP-MS and pXRF (n = 87) showed moderate to strong Spearman Rho correlations (rs = 0.489-0.956, p < 0.01) and linear regression coefficients of variation demonstrated good agreement between methods (R2 = 0.432-0.989, p < 0.05). Linear regression equations were used to correct pXRF data to the ICP-MS dust wipe data for samples analysed by both approaches, and applied to pXRF data that were not subject to ICP-MS analysis (n = 229). Application of the correction formula resulted in a substantial improvement of pXRF's accuracy and precision, confirming its effectiveness for assessing trace metals in dust wipes.

IDEAÇÃO SUICIDA E FATORES ASSOCIADOS EM ESTUDANTES DE CIÊNCIAS DA SAÚDE NOS TEMPOS DE PANDEMIA

ABSTRACT Objective: To verify the existence of an association between suicidal ideation, social support, and anxious-depressive symptoms among Health Sciences students. Method: Quantitative, cross-sectional study. Data collection took place from November 2020 to July 2021 in Sergipe - Brazil, using the Sociodemographic Questionnaire, Suicidal Ideation Questionnaire, Satisfaction with Social Support Scale, and Anxiety, Depression, and Stress Scale. Simple and multiple linear regression coefficients and odds ratios were estimated. Results: Of the 190 interviewees, 57 (30%) had low satisfaction with social support, 66 (34.8%) reported symptoms of severe or very severe depression, 32 (16.8%) had a potential risk of suicide, which can be increased by 18% in people with depression. Conclusion: Stress, anxiety, and depression are risk factors for suicidal ideation in health students. Social support becomes an ally in emotional control, in the reduction of psychological suffering, and in the precipitation of mental disorders in students.

Catering To Guest Satisfaction: Assessing The Influence Of Service Quality And Sharia Compliance

This research aims to examine the influence of service quality and the implementation of Sharia principles on guest satisfaction at Hotel Namira Syariah in Pekalongan. The population of this study consists of guests who have stayed at Hotel Namira Syariah Pekalongan, with a sample size of 96 respondents. Data collection was done through questionnaires, and the analysis includes validity, reliability, multiple linear regression analysis, t-test, F-test, and coefficient of determination analysis. The results of this study indicate that service quality has a positive impact on guest satisfaction, and the implementation of Sharia principles also has a positive influence on guest satisfaction. The F-test shows that service quality and the implementation of Sharia principles have a simultaneous and significant impact on guest satisfaction at Hotel Namira Syariah Pekalongan. In the multiple linear regression analysis, the variable of service quality has a more dominant influence on guest satisfaction (the dependent variable) with a coefficient of 0.351. The findings of this study suggest that to enhance guest satisfaction at Hotel Namira Syariah Pekalongan, there is a need for improvements in both service quality and the implementation of Sharia principles.

PENGARUH KOMITMEN ORGANISASI, MOTIVASI APARATUR DAN SISTEM PELAPORAN TERHADAP AKUNTABILITAS PENGELOLAAN DANA DESA (Studi Pada Pemerintah Kampung di Kecamatan Seruway)

This research aims to determine the influence of organizational commitment, apparatus motivation and reporting systems on the accountability of village fund management in Seruway District. The sample in this study consisted of 60 respondents. The data analysis method uses multiple linear regression analysis, t test, F test, and coefficient of determination test. The regression equation in this study is Y = 4.117 + 0.291X1 + 0.165 X2 + 0.498X3. Organizational commitment, apparatus motivation and the reporting system simultaneously have a positive and significant effect on the accountability of village fund management in the village government in Seruway District. From the coefficient of determination test, it can be explained that the variables of organizational commitment, apparatus motivation and reporting system influence the accountability of village fund management in the village government in Seruway District by 51.5%, while the remaining 48.5% is influenced by other variables outside this research model.

The influence of youtube food content reviews on customer purchasing decisions: lesson from Jakarta local street food

The purpose of this study is to examine the influence of food review content on YouTube on purchasing decisions for local culinary delights, specifically the Jakarta Nasi Goreng Kambing Kebon Sirih. It is the one of the favorite culinary place in Jakarta which sells lamb fried rice, it is located at Kebon Sirih Street. This research employed a quantitative approach with data analysis techniques such as descriptive statistics, linear regression test, t test, and coefficient of determination. The participants in this study are tourists on culinary trips in Jakarta. The samples were 100 tourists who went on a culinary trip and purchased fried rice for the Jakarta Kebon Sirih utilising non-probability sampling or purposive sampling techniques. The correlation coefficient test findings reveal that food reviews on YouTube have a remarkably strong relationship with Nasi Goreng Kambing Kebon Sirih purchasing decisions. Furthermore, the t test results indicate that food reviews on YouTube have a partially positive influence on the decision to purchase culinary products at the restaurant. The theoretical implication of this research is to provide an understanding that food reviews on YouTube have a significant contribution in the context of culinary products or culinary tourism. In the meantime, the findings of this study can be utilized as a reference for restaurant management in particular, and for local street food in general. Some of the limitations of this research that can be addressed in future research include the sample size and research scope.

The Influence of Training and Human Resource Development on The Performance of Employees of The Morning Afternoon Restaurant, Basuki Rahmat Branch, Palembang City

This study aims to determine how the Effect of Human Resources Training and Development on Employee Performance of the Palembang City Branch of the Pagi Sore Restaurant. The method used in this study uses a quantitative approach. The data collection technique used the distribution of questionnaires with a sample size of 60 respondents. The data analysis tools used are classical assumption test, multiple linear regression analysis, t test, F test, and coefficient of determination. Data processing using SPSS version 24 for windows. Based on the results of the study, it shows that the Training variable with a significant value (0.000) which means that training partially has a positive and significant effect on employee performance, the Human Resource Development variable with a significant value (0.039) which means that Human Resource Development partially has a positive and significant effect on employee performance. Training and HR Development simultaneously have a positive and significant effect on employee performance with a significant value (0.000).

The Implications of Market Segmentation, Positioning, and Lifestyle on KPOP Merchandise Online Marketing (Case Study on NCT Community)

This study aims to determine the effect of Market Segmentation, Positioning, and Lifestyle Implications on Merchandise KPOP Online Marketing. This study was conducted on the NCT community. The number of samples determined was 96 respondents, with sampling techniques using Non-Probability Sampling. This study used a descriptive quantitative method, with a validity test analysis method, reliability test, normality test, multicollinearity test, heterocedaticity test, multiple linear regression test, hypothesis test, and coefficient determination test. The analysis tool in this study is SPSS version 25. The results of this study show that market segmentation, positioning, and lifestyle have a positive and significant effect on online marketing of sex-pop merchandise both in part and simultaneously. The coefficient of determination shows a figure of 0.815 which means that the online marketing variable of the sex population is influenced by market segmentation, positoning, and lifestyle variables of 81%.

The Influence of Compensation and Working Environment on Employee Performance (Case Study of Mr. Samsudin’s Home Industry)

This research seeks to examine how pay and workplace conditions affect workers' productivity in Mr. Samsudin's industry. Using a forty-person sample, the data gathering method in this research is by means of documentation studies, interviews and distributing questionnaires. Data analysis methods make use of the coefficient of determination, t test, f test, and multiple linear regression. For data processing in this study, SPSS for Windows is used. The study's findings indicate that there is a noteworthy and favorable correlation between employee performance and compensation. in Mr. Samsudin's home industry, while Employee performance is negatively and negligibly impacted by the work environment in Mr. Samsudin's home industry. Simultaneously, it shows that there is a significant influence between compensation and the employee environment in Mr. Samsudin's home industry

Pengaruh Komitmen, Kepuasan Kerja, dan Budaya Organisasi terhadap Organizational Citizenship Behavior Pegawai

Currently, companies or organizations need employees with a supportive attitude because of the higher demands on teamwork. This research aims to determine the partial and simultaneous influence of commitment, job satisfaction, and organizational culture on employee Organizational Citizenship Behavior (OCB). This research is a quantitative study with a sample size of 31 North Kediri Health Center employees, which was determined using a saturated sampling technique. Data analysis methods were carried out using validity tests, reliability tests, classical assumption tests, multiple linear regression analysis, t-tests, F tests, and coefficient of determination tests. Research findings show that commitment and organizational culture partially influence OCB, but job satisfaction does not influence OCB. Apart from that, commitment, job satisfaction, and organizational culture have a significant effect on OCB. This research provides additional information, suggestions, and input useful for agencies, especially regarding commitment, job satisfaction, organizational culture, and OCB.

Typical Yet Unlikely and Normally Abnormal: The Intuition Behind High-Dimensional Statistics

Abstract Normality, in the colloquial sense, has historically been considered an aspirational trait, synonymous with ideality. The arithmetic average and, by extension, statistics including linear regression coefficients, have often been used to characterize normality, and are often used as a way to summarize samples and identify outliers. We provide intuition behind the behavior of such statistics in high dimensions, and demonstrate that even for datasets with a relatively low number of dimensions, data start to exhibit a number of peculiarities which become severe as the number of dimensions increases. Whilst our main goal is to familiarize researchers with these peculiarities, we also show that normality can be better characterized with ‘typicality’, an information theoretic concept relating to entropy. An application of typicality to both synthetic and real-world data concerning political values reveals that in multi-dimensional space, to be ‘normal’ is actually to be atypical. We briefly explore the ramifications for outlier detection, demonstrating how typicality, in contrast with the popular Mahalanobis distance, represents a viable method for outlier detection.

The Influence of Service Quality and Price on Customer Satisfaction at AHHAS Karya Perdana Workshop

The AHHAS Karya Perdana workshop is located on Jl. DI. Panjaitan, Karanganyar, Kec. Indramayu, Indramayu Regency, West Java 45213. The workshop provides a complete range of spare parts products and motor vehicle repair services. The workshop has a very comfortable waiting room atmosphere, quality of service is a priority with varying prices, and a strategic workshop location in the city center makes it easy for the people of Indramayu to find and repair motorbikes, influencing customer satisfaction. The method used in this study uses descriptive and associative research methods using a quantitative approach. This study's sample number was 95 AHHAS Karya Perdana Workshop customers. By collecting data using a questionnaire. Data analysis technique using multiple linear regression analysis, correlation, and coefficient of determination. Calculations using the SPSS software tool version 20. The results showed that service quality and price significantly and positively affected customer satisfaction. In this study, service quality and price can explain customer satisfaction by 62.1%, while the remaining 37.9% is influenced by factors not examined.

ANALISIS PENGARUH BRAND AWARENESS TERHADAP KEPUTUSAN PEMBELIAN DI RUMAH MAKAN SAUNG IBU TANGERANG

With the emergence of various brands, consumers choose from many brands to ultimately buy a product from a brand. The purpose of this research is to find out how much influence brand awareness has on the decision to buy by consumers. This research was conducted at the Saung Ibu Restaurant, Tangerang. This study uses quantitative methods with data collection techniques through questionnaires. In this study the authors will conduct research on 120 respondents who are consumers who have made purchases at Saung Ibu Restaurant. The results of the respondents' answers will later be processed using SPSS version 25. Data analysis was carried out by validity, reliability, normality test, multicollinearity test, heteroscedasticity test, simple linear regression test, t test, f test, and coefficient of determination test (R2) in knowing how much influence brand awareness has on purchasing decisions and knowing which variables has the most dominant influence. Based on the results of the research that has been done, it can be concluded that the results of the simple linear regression test that has been carried out state that Brand Awarzeness (X) has an effect on the purchasing decision variable (Y). Then based on the results of the T test it can be concluded that there is a partial influence of the brand awareness variable (X) on the purchasing decision variable (Y). Furthermore, based on the results of the F test, it can be concluded that there is a simultaneous influence of brand awareness (X) on the purchase decision variable (Y). Based on the test of the coefficient of determination, it is known that the R square is 0.702, this means that the influence of the brand awareness variable (X) simultaneously on the purchase decision variable (Y) is 70.2%.

Pengaruh Teknologi Informasi, Risiko, Dan Handling Complaint Terhadap Minat Nasabah BSI Kota Palangka Raya Dalam Menggunakan Internet Banking

This research responds to the development of Internet Banking technology in the banking sector. Internet banking has become an integral part of financial institutions; however, risks and handling complaints about services can influence customer interest. The research aims to analyze the influence of information technology, risk, and complaint handling on the interest of BSI customers in Palangka Raya City in using Internet Banking, both partially and simultaneously. The research method is quantitative with a survey type, involving 96 respondents determined by the lemeshow formula. Data were collected through a questionnaire, and the analysis was conducted with prerequisite tests (normality, multicollinearity, and heteroskedasticity) and using multiple linear regression analysis, T-test, F-test, and coefficient of determination in SPSS 26. The research results show that information technology and risk partially have a positive and significant effect on customer interest in using internet banking, while handling complaints do not have a significant partial effect. The F-test indicates that simultaneously information technology, risk, and complaint handling are significant for customer interest. The coefficient of determination of 0.514 shows how well these three variables explain the variation in customer interest in using internet banking.

Pengaruh Semangat Kerja, Disiplin Kerja, dan Beban Kerja Terhadap Produktivitas Kerja Karyawan PT. Trigon Scientific Indonesia.

This research aims to explore how Work Spirit, Work Discipline, and Workload affect employee work productivity at PT. Trigon Scientific Indonesia. This study employs a quantitative research approach with an associative method. The population for this study includes all employees of PT. Trigon Scientific Indonesia, with a sample size of 50 respondents. For testing, the researcher used tests for Validity and Reliability, as well as Classical Assumption Tests, which consist of Normality Test, Linearity Test, Heteroskedasticity Test, and Multicollinearity Test. The analysis technique used is Multiple Linear Regression Analysis, t-Test, F-Test, and Coefficient of Determination (R2). The results of the research indicate that in the Work Spirit variable, there is a positive and significant influence on Work Productivity. In the Work Discipline variable, there is a negative and insignificant influence on Work Productivity. And in the Workload variable, there is a negative and insignificant influence on Work Productivity. The result of the F-test is stated as positive and significant.

Development and validation of a simple solid-liquid extraction protocol coupled with LC-ESI-MS/MS for the determination of aflatoxin M1 in products of colostrum-based supplements and whey protein-based sports food

Special categories, such as infants and athletes, rely heavily on milk-based products. However, aflatoxin M1 (AFM1) contamination is a prevalent risk. This study aims to develop and validate a simple solid-liquid extraction protocol coupled with LC-ESI-MS/MS for AFM1 determination in colostrum-based supplements and whey protein-based sports foods. Extracts of acetonitrile-water (3:2, v/v) were directly injected into LC-ESI-MS/MS in a positive-ion mode. Separation was performed on the Agilent Poroshell 120 EC-C18 column with core-shell properties in a total analysis run time of 7.5 min. Among the tested extraction solvents, acetonitrile-water (3:2, v/v) provided an efficient direct extraction without any further treatments. AFM1 was eluted at a tR of 4.20 ± 0.05 min using the Agilent Poroshell column, and a tolerable ME% was successfully achieved. In both commodities studied, the recovery percentage, repeatability, intermediate precision, LOD, LOQ, linearity range, and linear regression coefficient (R2) results were 94.3–104.1% with RSDs of 4.70–8.40%, 4.49–9.7%, 7.89–10.6%, 0.0015 µg/kg, 0.005 µg/kg, 0.005–1.000 ng/mL, and 0.9999, respectively. Applicability was demonstrated on two proficiency testing (PT) samples and 60 domestic samples. Results have confirmed the practicality of the proposed assay protocol, with concentrations ranging from 0.010 to 4.423 µg/kg for positive samples. Out of the tested samples, 4.8% of the whey protein-based sports foods violated the EU's established limits. This validated assay protocol would help increase sample processing capacity while also ensuring effective and regular oversight by national regulatory authorities.

The Effect of Metacognition Awareness on the Critical Thinking Skills of Elementary School Teacher Elementary School Prospective Teachers

The ability to engage in critical thinking is crucial for students to effectively navigate the challenges of contemporary society. Metacognition awareness is a key indicator of an individual's critical thinking abilities. Metacognitive awareness can enhance one's cognitive control by incorporating critical thinking to regulate the thinking process. This study aimed to examine the impact of metacognitive awareness on the critical thinking abilities of PGSD (Primary School Teacher Education) students at Universitas Sebelas Maret during the 2022/2023 academic year. This study employed a quantitative methodology known as associative research. The study's population consisted of second-semester students who were selected using cluster random selection as the sampling technique. The study employed data analysis approaches that encompassed descriptive statistical analysis as well as inferential statistics, which involved doing preliminary analysis tests and hypothesis testing. The study's findings were determined by a significance test of the regression coefficient (T-test). The results indicated that the calculated t-value (2.049) was greater than the critical t-value (1.982), and the significance level (Sig.) of 0.042 was less than the threshold of 0.05. The multiple linear regression coefficient exhibited a positive value of 0.384, signifying a unidirectional link. The heightened awareness of metacognition led to a subsequent improvement in critical thinking abilities, with a determination coefficient of 20%. The findings demonstrated that the metacognitive awareness had an impact on the critical thinking abilities of PGSD students at Universitas Sebelas Maret during the 2022/2023 academic year.

Numerical analysis of heat and mass transfer of MHD natural convection flow in a cavity with effects of source and sink

The study of fluid flow and heat transport is found in many engineering applications such as boilers, nuclear plants, thermal energy storage, and underground pipelines. This study focuses on investigating the effects of isothermal source and sink on natural convection and entropy generation for Casson fluids using the finite element method. Under these considerations, fins ensure the effectiveness of heat transfer systems and flow patterns. Results describe that a higher Ra value leads to promote heat and mass transfer while Ha has the opposite impact. By increasing Ha value, results to retard convective heat transfer. As the Lewis number increases, so does the entropy due to deformation and the Bejan number. The shape optimization study about fins is performed in detail. The aspect ratio of cold fins is varied from 1.25 to 7, found that length and width are nearly directly related to entropy, mass, and heat transfer rates. The correlation coefficient for mean Nusselt and Sherwood number versus sink width is 0.9942, very close to 1, showing a very close direct relationship. The linear regression coefficients for mean Nusselt, Sherwood number and total entropy versus sink lengths are (0.7484, 2.2343), (0.7706, 2.254) and (2.4927, 5.8662), respectively.

Lapse rate-adjusted bias correction for CMIP6 GCM precipitation data: An application to the Monsoon Asia Region.

Bias correction (BC) of General Circulation Models (GCMs) variables is a common practice when it is being used for climate impact assessment studies at regional scales. The present study proposes a bias correction method (LR-Reg) that first adjusts the original GCM precipitation for local lapse rate corrections and later bias corrects the lapse rate-adjusted GCMs precipitation data with linear regression coefficients. We evaluated LR-Reg BC method in comparison to Linear Scaling (LS) and Quantile Mapping (QMap) BC methods, and NASA's downscaled NEX data for Monsoon Asia region. This study used Coupled Model Intercomparison Project Phase 6 (CMIP6)-based MIROC6 GCM precipitation with historical and projected shared socio-economic pathways (SSP) scenarios (SSP245 and SSP585) datasets. The BC comparison results show that the relative percentage reduction in mean absolute error (MAE) values of LR-Reg over LS-BC was up to 10-30% while this relative reduction in MAE values of LR-Reg was 30-50% over QMap-BC and 75-100% over NASA's NEX-data. The future projected precipitation over Monsoon Asia during dry season shows more decreased precipitation by up to 100% mostly in the south Asia while during wet season shows more increased precipitation by up to 50% mostly in the northeastern China and in the Himalayan belts with respect to the baseline condition (1970-2005). The results on the average precipitation per 0.25 degree increase in latitude analysis shows that the maximums of average monsoon precipitation during baseline period occur at 0 and 25 degree latitudes while the projected monsoon precipitation during both SSP scenarios occurs at 10 and 20 degree latitudes which clearly shows an inward shift in the latitude axis for the projected precipitation in the Monsoon Asia.

Comparison of Platelet Counts Estimated by Peripheral Blood Smear Examination and Automated Haematology Analyzer

Introduction: Platelet count estimation is one of the common as well as important investigations in clinical practice to diagnose many diseases like dengue, malaria, etc. Different methods for platelet estimations are available. These methods are manual counting semi-automated and automated hematology analyzer counting, platelet count estimation by peripheral blood smear (PBS) method, etc. Semi-automated or automated analyzers may produce erroneous results in the presence of particles or light scatter like giant platelets, fragmented red blood cells, and platelet clumps, so alternative methods like PBS examination can be used for validation. Aim: To compare platelet count estimation performed by the automated cell counter method and the PBS examination method. Objective: Peripheral Blood smear examination acts as a good quality control tool to validate the results produced by the automated cell counter. Materials and Methods: The present study was carried out in the Department of Pathology, Akshaya Health Centre, Urban Bangalore. The study included 100 random blood samples collected into ethylenediaminetetraacetic acid (EDTA) vacutainers over 3 months. These were analyzed by both peripheral blood smear and automated cell counter for platelet estimation. The statistical analysis was done for test performances and their comparisons by using the coefficient of variation (CV), linear regression, and mean differences with SPSS software. Results: No significant difference (p = 0.06635) was observed between the manual peripheral blood smear (PBS) method (platelets average per 100x, multiplied by 15000/ µl) of platelet estimation (207.13 ±15.898 x 1000/ µl) and that of automated cell counter platelet value (206.53 ±16.278 x 1000/ µl). A significant positive correlation was observed between the results of both methods (r=0.9995, p &lt; 0.001) when analyzed by the Pearson correlation test. Conclusion: The peripheral blood smear platelet estimation results are comparable with automated analyzer results. Hence, the PBS examination serves as a quality control tool in assessing the results of the automated cell counters.

Comparative Analysis of Reinforced Concrete Beam Behaviour: Conventional Model vs. Artificial Neural Network Predictions.

This research aims to conduct a comparative analysis of the first crack load, flexural strength, and shear strength in reinforced concrete beams without stirrups. The comparison is made between the conventional model developed according to the current design code (ACI building code) and an unconventional approach using Artificial Neural Networks (ANNs). To accomplish this, a dataset comprising 110 samples of reinforced concrete beams without stirrup reinforcement was collected and utilised to train a Multilayer Backpropagation Neural Network in MATLAB. The primary objective of this work is to establish a knowledge-based structural analysis model capable of accurately predicting the responses of reinforced concrete structures. The coefficient of determination obtained from this comparison yields values of 0.9404 for the first cracking load, 0.9756 for flexural strength, and 0.9787 for shear strength. Through an assessment of the coefficient of determination and linear regression coefficients, it becomes evident that the ANN model produces results that closely align with those obtained from the conventional model. This demonstrates the ANN's potential for precise prediction of the structural behaviour of reinforced concrete beams.