Method For Quantitative Analysis Research Articles

New screen-printed electrodes for Raman spectroelectrochemistry. Determination of p-aminosalicylic acid

BackgroundThe availability of new surface enhanced Raman scattering (SERS) substrates is essential to develop quantitative analytical methods. Electrochemistry is an easy, fast and reproducible methodology to prepare SERS substrates on screen-printed electrodes (SPEs). ResultsThis work proposes new SPEs based on a three-electrode system all made of silver. Using the same ink for the whole electrode system facilitates the fabrication process, reduces production costs, and leads to excellent analytical performance. The results showed that Raman enhancement depends strongly on the type of silver ink. To demonstrate the capabilities of the new electrodes developed, 4-aminosalicylic acid was determined in complex matrices and in the presence of strong interfering compounds such as salicylic acid and acetylsalicylic acid. The proposed analytical method is based on the electrochemical surface oxidation enhanced Raman scattering (EC-SOERS) strategy. AgCl nanocrystals are generated on the working electrode surface, which amplify the Raman signal of 4-aminosalicylic acid. Good figures of merit were obtained both in the absence and in the presence of the interfering compounds, achieving a correct estimation of a 4-aminosalicylic test sample in complex matrices. SignificanceThe new SPEs have been demonstrated to be very sensitive and reproducible which, together to the high specificity of the Raman signal, makes this methodology very attractive for chemical analysis.

Research on Quantitative Analysis Methods for the Spatial Characteristics of Traditional Villages Based on Three-Dimensional Point Cloud Data: A Case Study of Liukeng Village, Jiangxi, China

Traditional villages are important carriers of cultural heritage, and the quantitative study of their spatial characteristics is an important approach to their preservation. However, the rapid extraction, statistics, and estimation of the rich spatial characteristic indicators in these villages have become bottlenecks in traditional village research. This paper employs UAV (unmanned aerial vehicle) and handheld laser scanners to acquire three-dimensional point cloud data and construct a spatial feature three-dimensional calculation workflow of “field data collection—data processing—data analysis and application”, which enables the rapid acquisition, processing, and analysis of three-dimensional village data. Typical case studies are conducted in Liukeng Village, China, focusing on the quantification of village spatial characteristics at three levels: topography, streets and alleys, and individual buildings, as well as comparative studies of multiple villages across different regions. The quantification of three-dimensional data reveals the regularity of village spatial characteristics and uncovers the spatial wisdom embedded in the site selection and spatial structure of traditional villages. This paper establishes a complete technical route for the quantitative analysis of villages, deepens public understanding of the diverse value of traditional villages, and provides technical support for research and practice in related fields.

Quantitative Three-Dimensional Imaging Analysis of HfO2 Nanoparticles in Single Cells via Deep Learning Aided X-ray Nano-Computed Tomography.

It is crucial for understanding mechanisms of drug action to quantify the three-dimensional (3D) drug distribution within a single cell at nanoscale resolution. Yet it remains a great challenge due to limited lateral resolution, detection sensitivities, and reconstruction problems. The preferable method is using X-ray nano-computed tomography (Nano-CT) to observe and analyze drug distribution within cells, but it is time-consuming, requiring specialized expertise, and often subjective, particularly with ultrasmall metal nanoparticles (NPs). Furthermore, the accuracy of batch data analysis through conventional processing methods remains uncertain. In this study, we used radioenhancer ultrasmall HfO2 nanoparticles as a model to develop a modular and automated deep learning aided Nano-CT method for the localization quantitative analysis of ultrasmall metal NPs uptake in cancer cells. We have established an ultrasmall objects segmentation method for 3D Nano-CT images in single cells, which can highly sensitively analyze minute NPs and even ultrasmall NPs in single cells. We also constructed a localization quantitative analysis method, which may accurately segment the intracellularly bioavailable particles from those of the extracellular space and intracellular components and NPs. The high bioavailability of HfO2 NPs in tumor cells from deeper penetration in tumor tissue and higher tumor intracellular uptake provide mechanistic insight into HfO2 NPs as advanced radioenhancers in the combination of quantitative subcellular image analysis with the therapeutic effects of NPs on 3D tumor spheroids and breast cancer. Our findings unveil the substantial uptake rate and subcellular quantification of HfO2 NPs by the human breast cancer cell line (MCF-7). This revelation explicates the notable efficacy and safety profile of HfO2 NPs in tumor treatment. These findings demonstrate that this 3D imaging technique promoted by the deep learning algorithm has the potential to provide localization quantitative information about the 3D distributions of specific molecules at the nanoscale level. This study provides an approach for exploring the subcellular quantitative analysis of NPs in single cells, offering a valuable quantitative imaging tool for minute amounts or ultrasmall NPs.

The Relationship between Parental Educational Involvement and Learning Engagement among Chinese Middle School Students: The Mediating Effect of Gratitude and Hope.

Despite the extensive body of literature on the correlation between family dynamics and academic achievement among students, there remains a notable gap in research investigating the influence of parental educational involvement on student learning engagement. Based on the developmental-ecological model of student engagement and relevant theoretical frameworks, this study used the quantitative analysis method to construct a chain mediation model to test the relationship between parental educational involvement and the learning engagement of middle school students, as well as the potential mediating role of gratitude and hope. This study employed a cross-sectional study using whole-cluster random sampling to measure middle school students aged 11-18 years old in two schools over a one-week period. Through the use of self-reporting surveys, this study assessed the levels of parental educational involvement, gratitude, hope, and learning engagement among 754 middle school students (48% female; Mage = 14.83, SD = 1.65) in Hubei Province, China. The mediation effect was analyzed using regression analysis and the chained mediation model and tested via the Bootstrap method. The findings suggested that parental educational involvement significantly positively related to learning engagement among middle school students, while gratitude and hope serve as partial mediators in the relationship between parental educational involvement and learning engagement. These findings revealed the psychological mechanisms underlying the relationship between parental educational involvement and learning engagement among middle school students, providing valuable insights for enhancing their level of learning engagement.

Five commonly used traditional Chinese medicine formulas in the treatment of ulcerative colitis: A network meta-analysis.

Currently, traditional Chinese medicine (TCM) formulas are commonly being used as adjunctive therapy for ulcerative colitis in China. Network meta-analysis, a quantitative and comprehensive analytical method, can systematically compare the effects of different adjunctive treatment options for ulcerative colitis, providing scientific evidence for clinical decision-making. To evaluate the clinical efficacy and safety of commonly used TCM for the treatment of ulcerative colitis (UC) in clinical practice through a network meta-analysis. Clinical randomized controlled trials of these TCM formulas used for the adjuvant treatment of UC were searched from the establishment of the databases to July 1, 2022. Studies that met the inclusion criteria were screened and evaluated for literature quality and risk of bias according to the Cochrane 5.1 standard. The methodological quality of the studies was assessed using ReviewManager (RevMan) 5.4, and a funnel plot was constructed to test for publication bias. ADDIS 1.16 statistical software was used to perform statistical analysis of the treatment measures and derive the network relationship and ranking diagrams of the various intervention measures. A total of 64 randomized controlled trials involving 5456 patients with UC were included in this study. The adjuvant treatment of UC using five TCM formulations was able to improve the clinical outcome of the patients. Adjuvant treatment with Baitouweng decoction (BTWT) showed a significant effect [mean difference = 36.22, 95% confidence interval (CI): 7.63 to 65.76]. For the reduction of tumor necrosis factor in patients with UC, adjunctive therapy with BTWT (mean difference = -9.55, 95%CI: -17.89 to -1.41), Shenlingbaizhu powder [SLBZS; odds ratio (OR) = 0.19, 95%CI: 0.08 to 0.39], and Shaoyao decoction (OR = -23.02, 95%CI: -33.64 to -13.14) was effective. Shaoyao decoction was more effective than BTWT (OR = 0.12, 95%CI: 0.03 to 0.39), SLBZS (OR = 0.19, 95%CI: 0.08 to 0. 39), and Xi Lei powder (OR = 0.34, 95%CI: 0.13 to 0.81) in reducing tumor necrosis factor and the recurrence rate of UC. TCM combined with mesalazine is more effective than mesalazine alone in the treatment of UC.

Research on the distribution of educational resources from the perspective of public service equalization in China—Based on government responsibility and fiscal input

This paper explores the distribution of educational resources from the perspective of public service equalization in China, with a particular focus on government responsibility and fiscal input. Initially, the paper reviews the theoretical foundations and empirical studies concerning the distribution of educational resources, analyzing the role of government in educational equity and the impact of fiscal expenditure. By employing quantitative analysis methods, this study utilizes data on provincial education expenditures over several years to examine the relationship between government fiscal input and the equalization of educational resources. Empirical results indicate that increasing educational fiscal input and optimizing the allocation mechanism significantly enhance the level of equalization in educational resources. Furthermore, through case analyses of several local governments, effective policy recommendations are proposed to promote the fair distribution and optimization of educational resources. Lastly, the paper discusses potential obstacles in policy implementation and suggests corresponding strategies.

Development of national economic systems in the context of transformation of globalization and regionalization processes

Relevance. In the context of the formation of a multipolar world and the increasing sanctions pressure from unfriendly countries, Russia needs to adjust the models of integration into the system of world economic relations. In this context, an in-depth analysis of the mechanisms of internationalization, globalization and regionalization is required.The purpose is to consider the peculiarities of the impact of globalization and regionalization processes on national economies, taking into account the transformation of their internationalization models.Objectives: to consider the concepts of internationalization, regionalization and globalization, to identify their relationship; to identify the advantages and disadvantages of globalization, on the basis of which to describe the directions of transformation of forms of internationalization of economies; based on the analysis of available statistical data, to identify promising areas of integration of the national economy into the system of world economic relations.Methodology. The methods of quantitative and qualitative analysis, monographic and retrospective analysis, methods of comparing economic phenomena and processes, methods of abstraction, generalization of analyzed economic information are used.Results. The internationalization of national economies is a long-term sustainable trend. Their development is confirmed by sufficiently convincing quantitative data. Recently, the dynamics of the corresponding time series has become unstable, volatile and turbulent, with a tendency to decrease the level of indicators. There are transformations of the processes of globalization and regionalization, they acquire not only a new quality, but also institutional consolidation.Conclusions. The traditional model of globalization has exhausted itself. Due to the formation of a multipolar political and economic global space, in addition to the "center" and "periphery", countries of the "semi-periphery" stand out in it. They have sufficient economic sovereignty to refuse to participate in globalization projects, the balance of effects of which for these countries becomes negative. Russia is one of these countries. An additional incentive for reconfiguring the Russian model of internationalization of the economy is the anti-Russian sanctions imposed by the countries of the "center". In this regard, it is necessary to open up new opportunities for the national economy to integrate into the global economic space based on models of regionalization and glocalization.

EXPLORING THE ROLE OF LEADERSHIP AND ORGANIZATIONAL CULTURE IN ENHACING PUBLIC SECTOR INNOVATION IN MEDAN: AN SEM-PLS STUDY

The purpose of this study is to find out and analyze the extent to which leadership variables and organizational culture affect the quality of public sector services through increasing public sector innovation as an intervening variable. The subject of this study is the population of Medan City, where the variables in this study are independent variables, namely leadership and organizational culture, dependent variables, namely public sector service quality variables, and intervening variables are variables that increase public sector innovation. The results of data analysis were carried out by SEM analysis using SMART PLS 4.0 software. The data collection technique is by observation and documentation studies. The research method uses a quantitative descriptive method of data analysis using the structural equation model (SEM) method, where the results of data processing using the SEM method are carried out with the PLS 4.0 application. From the results of the study, the existing conclusion is that partially, leadership variables and organizational culture affect the quality of public sector services and affect the improvement of public sector innovation. Simultaneously, leadership and organizational culture affect the quality of public sector services through the variable of increasing public sector innovation as an intervening variable. The more leadership serves, the more innovation will grow in public sector services which will eventually change the organizational culture that tends to be flexible and serve which makes the quality of public sector services improve its performance.

Systematic Investigation of the Influence of Religion on Business Management: A Bibliometric Approach

Abstract In the dynamic context of modern business, the role of religion in business management is increasingly attracting the attention of researchers and practitioners. Religion, seen as a set of spiritual beliefs and practices, deeply shapes people’s values, behaviors, and decisions, thus impacting the way organizations are managed. Using bibliometric analysis allowed us to identify research trends, the links between the keywords underlying the selected studies, and the impact of the publications on the business environment. The study revealed that religious values can shape ethical behavior, leadership styles, and corporate social responsibility in business. Most studies focus on the influences of Islamic, Catholic, and Protestant religions, leaving a significant gap in understanding how orthodox values and practices influence organizational behavior and business ethics, even though this is the dominant religion in many Eastern and South-Eastern European countries. For a more comprehensive perspective, future research should include case studies and surveys in these geographical and cultural regions, combining qualitative and quantitative methods of data analysis. This study provides a robust basis for future research, stimulating reflection on how religious values can shape the business landscape in the 21st century.

THE EFFECT OF GOVERNMENT HEALTH PROGRAMS ON PEOPLE'S WELFARE IN THE CITY OF MEDAN

The formulation of the problem that arises from this research is how the variables of the role of health workers and social status affect the welfare of the people of Medan City through income as an intervening variable. The subject of this research is the people of Medan City (residents) of Medan City, where the variables in this study are independent variables, namely the role of health workers and social status, dependent variables, namely community welfare variables and intervening variables are income variables. The results of data analysis used using SEM analysis using SMART PLS 3.0 software. as for data collection techniques with questionnaires and observational studies. The research method uses a quantitative descriptive method of data analysis using the structural equation model (SEM) method, where the results of data processing with the SEM method are carried out with the PLS 4.0 application. From the results of the study, the conclusion is that partially, only the variable role of health workers has an effect on community welfare and affects community income. Simultaneously, the variables of the role of health workers and social status affect the improvement of community welfare through the variable of community income as an intervening variable. From the results of this study, the conclusion that exists, namely partially partially only the variable role of health workers that affects community welfare and affects community income. Simultaneously, the role of health workers and social status variables affect the improvement of community welfare through the variable of community income as an intervening variable.

Did COVID-19 discriminate in the global South? Revealing heterogeneity of urban households’ livelihood resilience based on evidence from Bangladesh, China, India and Philippines

“Lives or livelihoods” is a hard trade-off when confronting COVID-19, especially for cities in the Global South. Countermeasures to protect people's lives may exert negative impacts on urban households and test their livelihood resilience. Did COVID-19 discriminate? Did livelihood resilience vary among different urban households within and across different countries and cities? Established studies focused on rural households' livelihood resilience under climate change or natural hazard based on single country context. Little is known about the variety of urban households' livelihood resilience under COVID-19 across countries and cities. This study aims to fill this gap by revealing heterogeneity of livelihood resilience at both individual urban household level and country level. First-hand questionnaire survey data (N ​= ​4374) were collected from seven cities from Bangladesh, China, India, and Philippines. Using a combination of quantitative and qualitative analytical methods, it's found that: COVID-19 did discriminate. Urban households with larger household size, no home ownership, no financial assets, and household heads with low education level, informal employed and no flexibility to transfer to work from home, were vulnerable groups. COVID-19 also discriminated across cities. Cities with a high ratio of informal workers, no effective economic relief policies and long stringent mobility restriction measures performed worse.

Development of Uv-visible and Hplc Analytical Methods for Quantitative Analysis of Antiulcer Drugs in Dosage Forms

Precise measurement of active pharmaceutical ingredients (APIs) in dosage forms is crucial in the pharmaceutical business to guarantee the quality, effectiveness, and safety of the product. This research is focused on creating and confirming analytical techniques for accurately measuring the amount of antiulcer medicines in different types of medication. The measurement of antiulcer medicines in their respective formulations was carried out using two analytical techniques: UV-Visible spectroscopy and High-Performance Liquid Chromatography (HPLC). UV-Visible spectroscopy is a straightforward and cost-effective method that allows for quick examination. It is particularly useful for regular quality control applications. HPLC, in contrast, offers exceptional sensitivity, specificity, and precision, facilitating the isolation and measurement of many constituents in complex matrices. The technique development procedure included optimizing experimental parameters, including solvent systems, detection wavelengths, column types, mobile phase composition, and flow rates. The reliability and robustness of the suggested procedures were ensured by validation studies done in accordance with ICH recommendations. The adequacy of the procedures for their intended purpose was assessed by evaluating parameters such as linearity, precision, accuracy, specificity, and robustness. The UV-Visible and HPLC techniques that were developed showed exceptional linearity over the examined concentration range, with correlation values (R²) above 0.99. The precision experiments showed low relative standard deviations (RSDs), suggesting excellent repeatability and moderate accuracy. The accuracy checks demonstrated that the recovery values were within acceptable ranges, therefore verifying the dependability of the methodologies used for quantitative analysis.

Proprioception enhancement for robot assisted neural rehabilitation: a dynamic electrical stimulation based method and preliminary results from EEG analysis

Objective.In recent years, the robot assisted (RA) rehabilitation training has been widely used to counteract defects of the manual one provided by physiotherapists. However, since the proprioception feedback provided by the robotic assistance or the manual methods is relatively weak for the paralyzed patients, their rehabilitation efficiency is still limited. In this study, a dynamic electrical stimulation (DES) based proprioception enhancement and the associated quantitative analysis methods have been proposed to overcome the limitation mentioned above.Approach.Firstly, the DES based proprioception enhancement method was proposed for the RA neural rehabilitation. In the method, the relationship between the surface electromyogram (sEMG) envelope of the specified muscle and the associated joint angles was constructed, and the electrical stimulation (ES) pulses for the certain joint angles were designed by consideration of the corresponding sEMG envelope, based on which the ES can be dynamically regulated during the rehabilitation training. Secondly, power spectral density, source estimation, and event-related desynchronization of electroencephalogram, were combinedly used to quantitatively analyze the proprioception from multiple perspectives, based on which more comprehensive and reliable analysis results can be obtained. Thirdly, four modes of rehabilitation training tasks, namely active, RA, DES-RA, and ES-only training, were designed for the comparison experiment and validation of the proposed DES based proprioception enhancement method.Main results.The results indicated that the activation of the sensorimotor cortex was significantly enhanced when the DES was added, and the cortex activation for the DES-RA training was similar to that for the active training. Meanwhile, relatively consistent results from the multiple perspectives were obtained, which validates the effectiveness and robustness of the proposed proprioception analysis method.Significance.The proposed methods have the potential to be applied in the practical rehabilitation training to improve the rehabilitation efficiency.

The Effect of E-WOM and Brand Image on Purchase Intention to Buy Samsung Phones with E-Satisfaction as a Moderation Variable in State One, Students of Feb USU Medan

This study uses E-Satisfaction as a moderator to identify and examine the effects of E-WOM and brand image on purchase intention. The primary data was collected directly from the 105 respondents who made up the sample. The sampling technique combines both the non-probability sampling technique and the Slovin sampling approach. Quantitative analysis methods were used to investigate survey responses from respondents, and SPSS was used as the analytical tool. Brand image does not significantly affect purchase intentions, but E-WOM and E-Satisfaction do, according to the study’s findings. The association between E-WOM and purchase intentions is likewise moderated by e-satisfaction, whereas the link between brand image and purchases is not moderated by e-satisfaction. Keywords: E-wom, brand image, E-Satisfaction, purchase intention

Hydroxy Fatty Acid Synthesis-Related mRNA as the Biomarker for Detecting Mislabeling of Honey Entomological Origin.

The authentication of the entomological origin of honey is a widespread concern, necessitating the prompt establishment of an effective approach for distinguishing between Apis cerana cerana honey (ACH) and Apis mellifera ligustica honey (AMH). Hydroxy fatty acids (HFAs) found in honey are bee-derived components synthesized by the mandibular glands of worker bees. We previously discovered significant variations in the hydroxy fatty acid composition between ACH and AMH, suggesting their potential as indicators for identifying the authenticity of the entomological origin of honey. Herein, we identified differentially expressed genes associated with HFA synthesis by conducting transcriptome sequencing of the mandibular glands of AC and AM honeybees. Subsequently, we proposed a method for the relative quantitative analysis of bee-derived RNA components using real-time fluorescence quantitative polymerase chain reaction, which was supplemented by multivariate statistical analysis to further discern differences in HFA synthesis-related mRNA between ACH and AMH. The results showed that the mRNAs of FAXDC2 (fatty acid hydroxylase domain-containing protein 2) and FAS (fatty acid synthase) may serve as indicators to discern the entomological origin of honey. This study presents two novel biomarkers for detecting mislabeling of the entomological origin in ACH and AMH based on variations in bee-derived components.

Microcrack characteristics of granite under circumferential strain-controlled uniaxial compression test using UDEC-GBM

Rockburst is one of the significant challenges for underground excavation stability. The post-peak behaviour of rock controls the way it fails, and the released energy is potentially involved in the rockburst. However, understanding of both microscopic and macroscopic behaviours of brittle rock in the post-peak stage is limited due to the lack of proper loading methods and quantitative microscopic analysis methods. This study proposes a circumferential strain-controlled loading algorithm in UDEC to control the failure process, which has been verified against previous literature. By employing the improved geometry generation method, the microcrack evolution is quantitatively assessed. Energy analysis reveals that up to 80% of the input energy is stored in the granite prior to complete failure, which could be released if the rock fails at this moment. Conversely, after the complete failure, intragranular cracks account for the majority of energy dissipation, indicating its importance in post-peak stability. A small portion of the peak stored strain energy needs to be extracted to achieve a controlled failure process. Furthermore, it is found that the significant increases in the formation of intergranular shear and low-angled microcracks potentially feature the complete failure of the specimen. The proposed model offers a complementary method to systematically investigate the post-peak behaviour of rock, including the evolution of microcracks and energy.

Methodologic and Data-Analysis Triangulation in Case Studies: A Scoping Review.

We sought to explore the processes of methodologic and data-analysis triangulation in case studies using the example of research on nurse practitioners in primary health care. We conducted a scoping review within Arksey and O'Malley's methodological framework, considering studies that defined a case study design and used 2 or more data sources, published in English or German before August 2023. The databases searched were MEDLINE and CINAHL, supplemented with hand searching of relevant nursing journals. We also examined the reference list of all the included studies. In total, 63 reports were assessed for eligibility. Ultimately, we included 8 articles. Five studies described within-method triangulation, whereas 3 provided information on between/across-method triangulation. No study reported within-method triangulation of 2 or more quantitative data-collection procedures. The data-collection procedures were interviews, observation, documentation/documents, service records, and questionnaires/assessments. The data-analysis triangulation involved various qualitative and quantitative methods of analysis. Details about comparing or contrasting results from different qualitative and mixed-methods data were lacking. Various processes for methodologic and data-analysis triangulation are described in this scoping review but lack detail, thus hampering standardization in case study research, potentially affecting research traceability. Triangulation is complicated by terminological confusion. To advance case study research in nursing, authors should reflect critically on the processes of triangulation and employ existing tools, like a protocol or mixed-methods matrix, for transparent reporting. The only existing reporting guideline should be complemented with directions on methodologic and data-analysis triangulation.

PENGARUH GOOD CORPORATE GOVERNANCE, CORPORATE SOCIAL RESPONSIBILITY DAN TAX MANAGEMENT TERHADAP AKTIVITAS OPERASIONAL DAN NILAI PERUSAHAAN DI SEKTOR PERTAMBANGAN INDONESIA

The phenomenon gap in this research is that theoretically using price to book value and operational activities proxied using debt to equity based on the theory that the movement of firm value will correspond to the movement of operational activities. However, during the period from 2020 to 2023, there was inconsistency between the movement of price to book value and debt to equity which tended to fluctuate. The objective of this study is to analyze the influence of Good Corporate Governance (GCG), Corporate Social Responsibility (CSR), and Tax Management on Operational Activities and Firm Value (An Empirical Study on State-Owned Mining Sector Companies Listed on the Indonesia Stock Exchange for the Period 2020-2023). The population used in this research is all financial data of state-owned mining sector companies during the period of 2020-2023 listed on the Indonesia Stock Exchange. The sample consists of 40 data points from 6 state-owned mining sector companies that have issued complete annual financial reports during the observation period. The analytical tool used is quantitative analysis method, specifically path analysis. Based on the research findings, GCG does not have a negative effect on company value, while CSR and Tax Management do not have a positive effect on company value. Operational activities do not mediate the negative influence of GCG and tax management on company value, whereas operational activities mediate the positive influence of CSR on company value.

Analysis of Financial Ratios on Earnings Growth of Health Sector Companies

The purpose of this study was to determine and analyze the partial effect of financial performance which includes the variables Current Ratio, Debt To Equity Ratio, and Return On Asset on Profit Growth in Health Industry Sector Companies. The population and samples in this study were all health sector companies listed on the Indonesia Stock Exchange as many as 21 companies. The data analysis method used in this research is quantitative analysis method, the analysis is carried out using classical assumption testing, multiple linear regression analysis, and hypothesis testing (t test). Based on the results of the hypothesis test (t test), Current Ratio has a positive and insignificant effect on Profit Growth (Y) in Health Sector companies. Debt to Equity Ratio has a positive and significant effect on Profit Growth in Health Sector companies. Return on Asset has a positive and significant effect on Profit Growth in Health Sector companies. Based on the partial test results (t test) it can be concluded that of the three variables, Debt to Equity Ratio has a dominant influence on Profit Growth because it has the largest t value and partial r.

Dynamics of Social Interaction, Social Support, and Psychological Well-Being in Urban Communities: Social Support Theory Perspective

This study aims to investigate the effect of Quality of Social Relationships on Social Welfare and Urban Community Quality of Life, using the Structural Equation Modeling (SEM) quantitative analysis method with the SMARTPLS tool. This research method involves collecting data from 600 samples representing various backgrounds and characteristics of individuals in an urban environment. The results showed that Quality of Social Relationships has a positive and significant influence on Social Welfare and Urban Community Quality of Life. The quality of strong and supportive social relationships is shown to play an important role in enhancing individual social welfare and improving the overall quality of life in urban communities. From the analysis using the SEM method with SMARTPLS, the findings suggest that social interaction, life satisfaction, social support, and the ability to adapt to environmental changes contribute positively to the quality of social relationships which in turn influence Social Welfare and Urban Community Quality of Life. The implication of these findings is the need to consider the importance of strengthening the quality of social relationships in developing social policies and programs aimed at improving social welfare and quality of life in urban environments.