Multiple Linear Regression Analysis Model Research Articles

Pengaruh Strategi Pemasaran dan Inovasi Produk Terhadap Keputusan Pembelian pada Furniture Hj Vera di Kota Karawang

This is a The research aims to determine marketing strategies and product innovation on purchasing decisions for Hj Vera Furniture in Karawang City. The method used in this research is a quantitative method, this research was conducted on Hj Vera Furniture in Karawang City with a total research sample of 96 people with the criteria of consumers who had previously purchased Hj Vera Furniture in Karawang City, using a purpisive sampling method. The multiple linear regression analysis model used in this research uses the f test and t test with a significance threshold of 5%. The findings show that there is a partial contribution between marketing strategies and purchasing decisions at Hj Vera Furniture in Karawang City. The research results obtained are the influence of marketing strategy and product innovation on purchasing decisions at HJ Vera Furniture in Karawang City, there is an influence from all variables.

Analysis of Predictive Factors Associated with Unsuccessful Sentinel Lymph Node Mapping in Endometrial Carcinoma.

Sentinel lymph node (SLN) biopsy is recommended over systematic lymphadenectomy in early-stage endometrial cancer due to its lower morbidity and comparable detection rate. The objective of this study was to identify clinical factors associated with unsuccessful mapping. Between April 2020 and June 2024, 120 patients over the age of 18 and diagnosed with early-stage endometrial cancer were enrolled in this prospective study at a single institution. Demographic, clinicopathologic, and treatment data were collected and analyzed using descriptive statistics. Univariate and multiple linear regressions were performed to identify predictors of failed mapping. The mean age of the patient cohort was 62.5 years (range 33 to 83), and the mean body mass index (BMI) was 32 kg/m2 (range 18 to 50). Patients underwent intracervical injections with methylene blue (MB), indocyanine green (ICG), or a combination of both tracers, with 40 patients in each group. A total of 108 patients (90.0%) were diagnosed with endometrioid carcinoma and 12 (10.0%) with non-endometrioid cancers. Additionally, 110 patients (91.7%) were diagnosed in early stages of the disease. The overall SLN detection rate was 73.4%, with bilateral detection at 49.2% and unilateral detection at 24.2%. Univariate analysis showed that older age (p < 0.001), menopause (p = 0.001), the use of MB as the sole tracer (p = 0.006), a shorter tumor-to-serosa distance (p = 0.048), and bulky lymph nodes (p = 0.18) were associated with unsuccessful mapping. Multiple linear regression model analysis identified age (p = 0.007), tracer type (p = 0.013), and enlarged lymph nodes (p = 0.013) as independent predictors of SLN mapping failure. Advanced age, tracer type, and intraoperative detection of enlarged lymph nodes were identified as independent risk factors for unsuccessful mapping in patients undergoing laparoscopic SLN mapping.

The Role of Sorghum in Enhancing Food Security Among Smallholder Farmers in Makueni County, Kenya

In the wake of climate change and prevailing food insecurity, there has been increased attention on crops that can withstand harsh climatic conditions and have the potential to sustain livelihoods. Sorghum (&amp;lt;i&amp;gt;Sorghum bicolor)&amp;lt;/i&amp;gt; is among the cereal crops with the potential to address these unprecedented challenges. It grows in arid and semi-arid regions characterized by unpredictable weather patterns, rising poverty levels, and food insecurity. In Kenya, sorghum ranks third in terms of production and importance. Nevertheless, there is prevailing food insecurity in Makueni County, where sorghum thrives well. Hence, the purpose of this study was to assess the role of sorghum in enhancing food security among smallholder farmers by establishing the potential factors influencing sorghum production and income from sorghum. A multistage sampling method was used to select a sample of 96 respondents. Data analysis involved the use of multiple linear regression model and gross margin analysis. The results indicated that experience, household size, and extension service influence sorghum production positively, while distance to all-weather roads and off-farm income have a negative effect. Gross margin results revealed sorghum is a profitable enterprise with an average net farm income of about 10,760 KES per acre. This suggests that sorghum production improves the income of sorghum-producing households and consequently enhances food security. The study, therefore, proposes strategies such as developing appropriate training facilities and strengthening extension services to boost sorghum production and thus promote food security among smallholder farmers. Furthermore, national and county governments should develop efficient road networks and provide incentives to sorghum producers to enhance access to services and markets, and foster specialization in sorghum enterprise.

The Influence of Entrepreneurship Knowledge, Personality, Family Environment on Entrepreneurial Interest of Undergraduate Students Class of 2021, Faculty of Economics and Business, University of Riau

This research aims to determine 1) the influence of entrepreneurial knowledge on students' interest in entrepreneurship, 2) the influence of personality on students' interest in entrepreneurship, 3) the influence of the environment on students' interest in entrepreneurship and 4) the influence of personality, entrepreneurial knowledge and the environment on students' interest in entrepreneurship. This research is quantitative with a multiple linear regression analysis model. This research uses data obtained from distributing questionnaires to 90 respondents. The sampling method used was the simple random sampling method. This research uses statistical data analysis methods using SPSS version 25. The results of the research show that 1) Knowledge of entrepreneurship has a positive and significant effect on students' interest in entrepreneurship, 2) Personality has a positive and significant effect on students' interest in entrepreneurship, 3) Family environment has a positive and significant effect on students' interest in entrepreneurship, 4) Knowledge of entrepreneurship, personality, and The family environment together has a positive and significant effect on interest in entrepreneurship. This means that the influence of these factors interacts with each other, where individuals who have good knowledge about entrepreneurship, a strong personality, and a positive family environment will have a great interest in pursuing an entrepreneurial career.

Pengaruh Kompetensi Sumber Daya Manusia, Gaya Kepemimpinan dan Pemanfaatan Teknologi Informasi terhadap Kualitas Laporan Keuangan Gereja Paroki Wilayah Kota Maumere

The aim of this research is to determine the influence of human resource competence, leadership style and use of information technology on the quality of financial reports of Parish Churches in the Maumere City area. This research uses an associative quantitative approach. The population in this study was the Financial Council taken from 5 Parish Churches in Maumere City, namely 32 respondents. The sampling method used in this research was saturated sampling so that the number of samples obtained was 32 respondents. The data collection process was carried out by distributing questionnaires to respondents, where the research instrument used a Likert scale. The data analysis technique used in this research uses a multiple linear regression analysis model with the help of the IBM SPSS Statistics 26 program. The results of this research show that the variables of human resource competency, leadership style and the use of information technology partially and simultaneously have a significant effect on the quality of the Church's financial reports. Maumere City Parish.

STREM2 Mediates the Correlation Between BIN1 Gene Polymorphism and Tau Pathology in Alzheimer's Disease.

Bridging integrator 1 (BIN1) gene polymorphism has been reported to play a role in the pathological processes of Alzheimer's disease (AD). To explore the association of BIN1 loci with neuroinflammation and AD pathology. Alzheimer's Disease Neuroimaging Initiative (ADNI, N = 495) was the discovery cohort, and Chinese Alzheimer's Biomarker and LifestylE (CABLE, N = 619) study was used to replicate the results. Two BIN1 gene polymorphism (rs7561528 and rs744373) were included in the analysis. Multiple linear regression model and causal mediation analysis conducted through 10,000 bootstrapped iterations were used to examine the BIN1 loci relationship with cerebrospinal fluid (CSF) AD biomarkers and alternative biomarker of microglial activation microglia-soluble triggering receptor expressed on myeloid cells 2 (sTREM2). In ADNI database, we found a significant association between BIN1 loci (rs7561528 and rs744373) and levels of CSF phosphorylated-tau (P-tau) (pc = 0.017; 0.010, respectively) and total-tau (T-tau) (pc = 0.011; 0.013, respectively). The BIN1 loci were also correlated with CSF sTREM2 levels (pc = 0.010; 0.008, respectively). Mediation analysis demonstrated that CSF sTREM2 partially mediated the association of BIN1 loci with P-tau (Proportion of rs7561528 : 20.8%; Proportion of rs744373 : 24.8%) and T-tau (Proportion of rs7561528 : 36.5%; Proportion of rs744373 : 43.9%). The analysis in CABLE study replicated the mediation role of rs7561528. This study demonstrated the correlation between BIN1 loci and CSF AD biomarkers as well as microglia biomarkers. Additionally, the link between BIN1 loci and tau pathology was partially mediated by CSF sTREM2.

Inverted U-Shapedrelationship Between Systemic Immune-Inflammation Index and Pulmonary Function: A Large Population-Based Study in US Adults.

Systemic immune-inflammation index (SII) is a novel comprehensive inflammatory marker. Inflammation is associated with impaired lung function. We aimed to explore the possible relationship between SII and lung function to examine the potential of SII in predicting lung function decline. A cross-sectional survey was conducted using the data of the NHANES from 2007 to 2012. Multiple linear regression models were used to analyze the linear relationship between SII and pulmonary functions. Sensitivity analyses, subgroup analyses, and interaction tests were used to examine the robustness of this relationship across populations. Fitted smooth curves and threshold effect analysis were used to describe the nonlinear relationships. A total of 10,125 patients were included in this study. After adjusting for all covariates, multiple linear regression model analysis showed that high Log2-SII level was significantly associated with decreased FVC(β, -23.4061; 95% CI, -42.2805- -4.5317), FEV1(β, -46.7730; 95% CI, -63.3371- -30.2089), FEV1%(β, -0.7923; 95% CI, -1.1635- -0.4211), FEV1/FVC(β, -0.6366; 95% CI, -0.8328- -0.4404) and PEF(β, -121.4468; 95% CI,-164.1939- -78.6998). The negative correlation between Log2-SII and pulmonary function indexes remained stable in trend test and stratified analysis. Inverted U-shaped relationships between Log2-SII and FVC, FEV1, FEV1%, and PEF were observed, while a negative linear correlation existed between FEV1/FVC and Log2-SII. The cutoff values of the nonlinear relationship between Log2-SII and FVC, FEV1, FEV1%, PEF were 8.3736, 8.0688, 8.3745, and 8.5255, respectively. When SII exceeded the critical value, the lung function decreased significantly. This study found a close correlation between SII and pulmonary function indicators. This study investigated the SII threshold when lung functions began to decline in the overall population. SII may become a promising serological indicator for predicting lung function decline. However, prospective studies were needed further to establish the causal relationship between these two factors.

PENGARUH RELIGIUSITAS, LINGKUNGAN KERJA, DAN PENGETAHUAN AKUNTANSI SYARIAH TERHADAP MINAT BERKARIR DI SEKTOR PERBANKAN SYARIAH

The purpose of this study was to determine and analyze how religiosity, work environment, and islamic accounting knowledge influence career interest in the islamic banking sector. The data sources used in this study are primary data, questionnaires were distributed to active students of the Accounting Study Program, State University of Jakarta using Google Form. Data analysis in this study used a multiple linear regression analysis model. The results of the study showed that religiosity and work environment have an influence on students' interest in a career in the islamic banking sector. While islamic accounting knowledge does not affect students' interest in a career in the islamic banking sector

Analisis Suku Bunga, Kurs dan Inflasi terhadap Return Saham Blue Chip Sektor Perbankan

This study aims to analyze the factors that influence stock returns, especially blue chip stocks in the banking sector. The variables used in this study are interest rates, exchange rates and inflation. This research uses a quantitative approach with multiple linear regression analysis models. The results showed that the variable interest rates, exchange rates and inflation affect the blue chip stock returns of the banking sector. But partially, interest rates do not affect the blue chip stock returns of the banking sector while the exchange rate and inflation affect the blue chip stock returns of the banking sector. This research is very useful for investors in making investment decisions, especially in the banking sector.

The influence of parents on children's consciousness of gender equality: a multi-group structural equation modeling approach.

This study aimed to understand the consciousness of gender equality among school-aged children in China and its influencing factors using structural equation modeling to explore the pathways, intensity and group differences among these factors. A cross-sectional survey was conducted using stratified random whole-group sampling of primary school students in grades 1-6 and their parents who met the inclusion and exclusion criteria. In this study, 1,312 valid questionnaires were collected from a total of 1,500 school-aged children in Hunan Province, China (effective response rate of 87.5%). Statistical analysis was conducted using SPSS 26.0 and AMOS 24.0 software. Statistical inference consisted of t-tests, analysis of variance, the LSD test, Pearson correlation analysis, multiple stepwise linear regression analysis and structural equation modeling. School-aged children had the lowest consciousness of gender equality in the area of occupation and relatively higher consciousness in the areas of family and school. Children's age, gender, gender role, parent-child relationship, teacher-student relationship and parents' gender equality consciousness had predictive effects on children's consciousness of gender equality. The structural equation model constructed in this study is applicable to school-aged children of different genders. There was a significant difference in the structural equation modeling for children in different study period groups. In the education process, parents and teachers should attempt to improve their own consciousness of gender equality, integrate the concept of androgynous education, enhance close relationships with children, and adopt appropriate education methods according to the characteristics of different groups of children.

PENGARUH PERSONAL SELLING TERHADAP KEPUTUSAN PEMBELIAN PRODUK KUE

In a market that is increasingly competitive and influenced by ongoing technological developments, companies are required to develop effective marketing strategies to achieve their goals, including creating value and satisfying customer needs. One of the pioneers in the dessert box industry in Indonesia is Bittersweet by Najla, renowned for its innovation in presenting sweet treats in box form. This study aims to investigate the influence of personal selling on purchasing decisions of products from Bittersweet By Najla. The study employs a quantitative method by collecting information from primary and secondary sources through questionnaires and literature studies. This research uses a multiple linear regression analysis model as the research method. The population studied consists of residents in the vicinity who have made purchases at Bittersweet By Najla, with a sample of 50 respondents selected incidentally through a Likert scale-based questionnaire. Partial analysis results indicate that personal selling has a positive and significant impact on purchase decisions, supported by a significant t-value (4.012 &gt; 1.677) and low statistical significance (0.000 &lt; 0.05). These findings provide valuable insights for companies in designing more efficient marketing strategies, emphasizing the development of personal selling skills to enhance product appeal, build consumer trust, and achieve desired marketing objectives.

The Effect of Intellectual Capital on Stock Return Through Financial Performance

In the era of globalization and increasingly fierce competition, companies are required to increase their competitiveness by optimally utilizing the assets they own, one of the assets that is increasingly important for companies is intellectual capital. The purpose of this study is to examine whether intellectual capital affects stock returns through financial performance, which has the aim of knowing the influence of intellectual capital on financial performance, the influence of intellectual capital on stock returns, the effect of stock returns on financial performance, and whether or not financial performance mediates the relationship between intellectual capital and stock returns. A multiple linear regression analysis model with path analysis is an analysis method used in this study that aims to test whether there is a direct or indirect influence between independent, dependent, and intervening variables. Data testing tool using SPPS24 software. The population object in this study is companies listed on the IDX Indexes LQ45 for the 2018-2022 period; with the purposive sampling method, the samples collected are 33 companies with a total of 45 companies' observation data. The results showed that intellectual capital affects financial performance. These results show that the effect of financial performance on stock returns is statistically significant. The indirect influence of the statistical analysis results is greater than the direct influence of intellectual capital on stock returns. Thus, financial performance mediates the influence of intellectual capital on stock returns. This result explains that the company must utilize and maintain intellectual capital, and sound financial performance affects the stock returns received by investors, which later show good company value. Companies must utilize and maintain their intellectual capital because good financial performance, which results from the utilization of intellectual capital, will increase stock returns and reflect good company value in the eyes of investors.

Peran Kepemilikan Manajerial Memoderasi Tingkat Hutang, Ukuran Perusahaan, Arus Kas Operasi Terhadap Persistensi Laba

This study uses management ownership as a moderating variable to examine the effects of debt levels, firm size, and operating cash flow on earnings persistence. Quantitative approaches are employed in this study. Up to 80 samples were selected via purposive selection, with the population of this study consisting of industrials sector companies listed on the Indonesia Stock Exchange in 2019–2022. Multiple linear regression analysis models and moderated regression analysis (MRA) were used for the hypothesis testing, with the moderator variables being tested. The results of this research based on partial testing (t test) probability value of the debt level variable is 0.008. The firm size variable is 0.032. The operating cash flow variable is 0.160. The managerial ownership variable is 0.014. The degree of debt and management ownership have an interaction variable of 0.016. The interaction variable between firm size and managerial ownership is 0.010. Additionally, managerial ownership and operating cash flow interact with a coefficient of 0.132. Known that debt levels and firm size have positive effect on profit persistence, while operating cash flow has no effect on profit persistence. The moderating effect of managerial ownership can amplify the favorable impact of debt levels on earnings persistence. However, the favorable impact of company size and operating cash flow on earnings persistence cannot be amplified by managerial ownership

Export Instability, Investment, Export Growth and Economic Growth in India

The “Export-led Growth Hypothesis,” as it is known in the literature, is still a popular issue in both theoretical and empirical research. According to the export-led growth hypothesis (ELGH), a key factor in determining growth is the expansion of exports. It asserts that growing capital and labour inputs into the economy as well as exports can contribute to a country’s overall growth. The association between economic development, export growth, export fluctuation, and real effective exchange rate (REER) in India from 2001 to 2021 is examined in this paper using a multiple linear regression analysis model. Additionally, the impacts of foreign exchange, export fluctuation on investment, and import of capital goods have also been studied. The autocorrelation is also tested using the Durbin-Watson (D-W) test. Investigation of the association between income growth and exports in the context of India reveals that the country’s exports haven’t increased significantly enough to prove the theory of export-led growth. For instance, ceteris paribus, one per cent change in exports over time is expected to result in a 0.007 per cent increase in GDP. Weaker global demand, inflation, dropping exports, and growing global trade conflict all contribute to a weaker-than-expected positive link between GDP and exports. However, the findings have also shown that one per cent rise in instability increases GDP by 5.04 per cent. Furthermore, research has indicated that export instability does contribute to import for capital goods and demonstrates the relationship between investment and export instability is positive but not statistically significant. The result for policy is that, in order to decrease the negative impacts of export fluctuations, India should concentrate on those goods in which it has a competitive edge. The primary factors of the excessive volatility and restricted growth must be fully investigated in order to mitigate instability, and inherent flaws must be addressed.

The influence of technical and fundamental factors on stock prices in banking companies listed on the Indonesia stock exchange in 2018-2022

This study was conducted to analyze and find out how Trading Volume, Earning Per Share (EPS), Return On Asset (ROA), Return On Equity (ROE), and Debt to Equity Ratio (DER) affect Stock Prices in Banking Companies Listed on the Indonesia Stock Exchange in 2018-2022. The data in this study were taken from idx.co.id and yahoofinancial.com sources. The population in this study is 49 companies and the sample used in this study is 29 companies. This study uses quantitative data processed by the SPSS.27 software application with a multiple linear regression analysis model. The results of the study conclude that simultaneously Trading Volume, Earning Per Share, Return On Asset, Return On Equity, and Debt to Equity Ratio have a positive effect on stock prices. Trading Volume and Debt to Equity Ratio partially have a negative effect on stock prices. Meanwhile, Earning Per Share, Return On Asset, and Return On Equity, partially have a positive effect on stock prices.

Sustainability accounting reporting: issues for the automobile industry

PurposeThe purpose of this research is to highlight the imperative need for an internationally accepted standard for sustainability accounting reporting, not exclusive to the analyzed sector but across all industries.Design/methodology/approachThis paper uses an enhanced analysis of existing empirical literature on accounting reporting for sustainability efforts in corporate practices. The study uses two statistical techniques: multiple linear regression analysis and structural equations modeling, focusing on a sample drawn from the Newsweek Green Rankings within the automobile industry. Specifically, the analysis is conducted on data spanning from 2014 to 2016, covering three years and comprises 25 corporations from the Global Fortune 500 list.FindingsThe empirical analysis reveals a significant gap in sustainable reporting practices, highlighting the challenges of nonstandardized managerial accounting across the globe. This research portrays key benefits including enhanced data accessibility and the adoption of sustainable practices across industries. Furthermore, assisting in academic research.Research limitations/implicationsThe study addresses challenges in researching sustainability constraints across various dimensions. The obtained empirical data could inform stakeholders, including accounting setters and managers in the automobile industry, about the pressing need to set uniform sustainability constraints comprehensively and to implement global reporting standards to foster transparency and accountability.Practical implicationsThe sustainability accounting setters, such as Sustainability Accounting Standards Board and International Financial Reporting Standards Foundation, face the challenge of adopting globally accepted accounting standards for sustainability reporting. The statistical evidence correlates sustainable variables with three profitability margins (earnings before interest and taxes, earnings before interest taxes, depreciation and amortization and pretax), providing empirical proof of the degree of correlation among them.Social implicationsThis paper aims to collaborate with the Meditari Accountancy Research Journal in bridging the gap in international standards for sustainability accounting reporting. It emphasizes the global significance of achieving a standardized approach to reporting for sustainability and its potential positive impact on corporations, governments, academic research teams and society.Originality/valueDiverse societal stakeholders have advocated for the implementation of a more sustainable world. Currently, there is no international agreement on how to report for sustainability efforts. This paper evidences this gap, which if persistent would not allow for an accurate evaluation of progress and fulfillment of goals, causing a subpar performance without standard measures.

THE INFLUENCE OF LEARNING ORGANIZATIONS AND EMPLOYEE INNOVATION BEHAVIOR ON EMPLOYEE PERFORMANCE AT THE SURABAYA CITY CULTURE, YOUTH AND SPORTS AND TOURISM OFFICE WITH THE INTERVENING VARIABLE OF EMPLOYEE COMPETENCE

This study examines and demonstrates the impact of Learning Organizations and Employee Innovation Behavior on Employee Performance in the Department of Culture, Youth and Sports and Tourism of the City of Surabaya. The research design employed in this study is explanatory research, which aims to explain the causes and consequences of existing problems. Path Analysis, along with two multiple linear regression analysis models and SPSS ver 17.0, was utilized to analyze the data. Furthermore, this study is classified as associative research. The findings of this study confirm that learning organizations have a positive and significant influence on employee competence. Furthermore, employee innovation behavior also has a positive and significant impact on employee competence. Moreover, learning organizations positively and significantly affect employee performance, while employee innovation behavior also has a positive and significant influence on employee performance. Additionally, employee competence is found to have a positive and significant effect on employee performance. However, employee competence does not act as a mediating variable in the relationship between learning organizations and employee performance. On the other hand, employee competence does serve as a mediating variable in the relationship between employee innovation behavior and employee performance.

The role of solute polarizability and microenvironment in the spectroscopic behaviour of the local anesthetic drug - bupivacaine

The solvent dependent ground- and excited-state photophysical and photochemical properties of the local anesthetic drug – bupivacaine (BUP) – have been studied using a steady-state spectroscopic technique. The Kamlet-Taft solvent scale was used to describe the solvatochromism of BUP in terms of non-specific (dipole-dipole) and specific (hydrogen bonding) solute-solvent interactions. The performed analysis indicates that the major factor responsible for the shift of the absorption and fluorescence bands is solvent polarity, while the solvent acidity and basicity have a less significant effect. Finally, it has also been shown how the solvatochromic equations can be used, in principle, to obtain estimates for the ground- and excited-state (Franck-Condon and relaxed) dipole moments, the difference thereof and the polarizability of BUP from a simple analysis of spectral shift data (solvatochromic methods of Lippert and Mataga, McRae, Bakhshiev and Mataga and Kubota) and multiple linear regression analysis (model of solvatochromism developed by Bayliss, McRae and Ooshika). In addition, an innovative physical treatment was used, consisting of a non-linear fit of the absorption and emission spectral shift data using the theoretical model of solvatochromism developed by Bilot and Kawski and visualisation of the least squares coefficient (χ2) on a 3D map as a function of the solute polarizability and the gas phase absorption or fluorescence energies. Since the solute polarizability can affect both the electronic characteristics and the reactivity of the molecule, our investigations may have significant implications for the development of the pharmaceutical industry (understanding of the influence of the environment on intermolecular processes occurring in the drug-medium system).

Application of ultrasound-guided single femoral triangle and adductor canal block in arthroscopic knee surgery: a prospective, double-blind, randomized clinical study

PurposeTo compare the difference in analgesic effect between femoral triangle block (FTB) and adductor canal block (ACB) during arthroscopic knee surgery.MethodsPatients who underwent arthroscopic knee surgery were randomized preoperatively to FTB group or ACB group. For each group, 20 mL of 0.1% ropivacaine was injected. Primary outcomes: The numeric rating score (NRS) at 12 h after surgery at rest and during movement. Secondary outcome: (1) The NRS at post anesthesia care unit (PACU) and 2, 24 h after surgery at rest and during movement; (2) The quadriceps muscle strength at PACU and 2, 12, 24 h after surgery; (3) Consumption of Rescue analgesia; (4) Incidence of adverse reactions.ResultsThe NRS at 12 h after surgery at rest and during movement of ACB group were higher than FTB group. Among secondary outcomes, the NRS at PACU at rest and during movement, 2 h after surgery during movement of FTB group lower than ACB group; the quadriceps muscle strength at 2 h after surgery of FTB group stronger than ACB group. After multiple linear regression model analysis, the data showed additional statistically significant reduction NRS at 24 h after surgery at rest (0.757, p = 0.037) in FTB group. Other outcomes were similar between two groups.ConclusionsThe FTB appears to provide superior pain control after knee arthroscopy than ACB, the FTB is superior to the ACB in quadriceps muscle strength at 2 h after surgery.Trial registrationThe trial was registered in the Chinese Clinical Trial Registry (ChiCTR2300068765). Registration date: 28/02/2023.

Pengaruh Investment Opportunity Set (IOS), Likuiditas, dan Efisiensi terhadap Kualitas Laba: Studi Empiris pada Perusahaan Subsektor Perbankan yang Terdaftar di Bursa Efek Indonesia 2018-2021

This study aims to examine the effect of Investment Opportunity Set (IOS), liquidity, and efficiency on earnings quality. The data used is secondary data in the form of an annual report of commercial banks listed on the Indonesia Stock Exchange for 4 years of observation, from 2018 to 2021. The sample was determined by purposive sampling technique and then resulted in 42 companies as the sample. This research used multiple linear regression analysis models. These models were analyzed using EViews 12. The results of this study showed that investment opportunity set, liquidity, and efficiency have no effect on earnings quality.