Variation In Quality Research Articles

PENGARUH KONSERVATISME AKUNTANSI, STRUKTUR MODAL DAN INVESTMENT OPPORTUNITY SET TERHADAP KUALITAS LABA

This study aims to determine the effect of accounting conservatism, capital structure, and investment opportunity set variables on earnings quality variables in basic materials companies in 2018-2022. The independent variables in this study are accounting conservatism, capital structure, and investment opportunity set, the dependent variable is earnings quality. The research method used is a quantitative method, the data sources used are secondary data. The technique used in this study is a purposive sampling technique. The population used in this study are basic materials companies listed on the IDX in 2018-2022. The sample used in this study was 12 company samples with a research observation period of 5 years in the period 2018-2022 and the number of financial reports used as samples in this study was 60. The data analysis technique used was multiple linear regression with the help of the e-views version 12 statistical processing program. The partial test results showed that the accounting conservatism variable had an effect on earnings quality, the capital structure variable had no effect on earnings quality, and the investment opportunity set variable had no effect on earnings quality, while the simultaneous test results showed that the accounting conservatism, capital structure, and investment opportunity set variables simultaneously had a simultaneous effect on earnings quality.

Classifying eutrophication spatio-temporal dynamics in river systems using deep learning technique

Eutrophication is a major cause of water quality degradation in South Korea, owing to severe algal blooms. To manage eutrophication, the South Korean government provided the Trophic State Index (TSIko), which was revised according to Carlson's TSI. The TSIko levels were simulated using mechanistic water quality modeling. However, the computational complexity of model parameter calibration and the nonlinearity of water quality kinetics complicate analyzing accurate eutrophication conditions. Deep learning models have been considered alternatives to numerical model approaches because they directly extract water quality variables without prior knowledge. In particular, the convolutional neural network (CNN) model showed robust feature extraction from the complex datasets. This study constructed and optimized a CNN model using water quality data from the Han, Guem, Yeongsan, and Nakdong Rivers in South Korea over nine years from 2014 to 2022 to classify the TSIko. The CNN model provided validation results using the statistical measurement of classification accuracy, known as the F1 score, which is the harmonic mean of precision and recall. The F1 scores were 0.922, 0.950, 0.964, and 0.896 for oligotrophic, mesotrophic, eutrophic, and hypertrophic statuses, respectively. The CNN model outperformed conventional machine learning models. Subsequently, a eutrophication map for the four major rivers was generated using the CNN model to simulate the spatial and temporal variations of the eutrophication index, mimicking high spatio-temporal eutrophic dynamics with respect to the mainstream and tributaries of the Yeongsan and Nakdong Rivers. Therefore, this study demonstrates the capability of the CNN model to analyze eutrophication conditions at various spatial and temporal scales of major rivers in South Korea.

An adaptive trajectory segmentation and simplification algorithm based on vessel behavioral features

Existing algorithms for trajectory simplification in AIS data processing have issues such as loss of key feature points, high subjectivity in threshold selection, and incomplete consideration of factors. In this paper, an adaptive trajectory segmentation and simplification algorithm based on vessel behavioral features is proposed. The algorithm identifies behavioral feature intervals by extracting vessel behavioral features and constructs an adaptive segmentation threshold function to achieve adaptive segmentation of trajectories and extraction of key feature points. Then, considering the quality, similarity, and spatial variability of trajectory simplification, an adaptive simplification threshold function is constructed to automatically select the best threshold for each sub-trajectory to generate the simplified trajectory. Our experiments demonstrate that the algorithm maintains a high simplification rate while enabling adaptive simplification of the trajectory, and also retains the key feature points and trajectory shapes to the maximum extent. The effectiveness and robustness of the algorithm are verified through comparison with other algorithms, effectively avoiding the distortion of navigational behavior that may be caused by traditional methods. This provides reliable data support for maritime traffic management and decision-making.

Impact of governance quality, population and economic growth on greenhouse gas emissions: An analysis based on a panel VAR model

Unlike the previous literature on climate change, this study employed the panel vector autoregressive model to examine the impact of population growth, governance quality, and economic growth on global warming. Moreover, we used the impulse response function tool, which was developed in the same context, to better understand the reaction of the main variables of interest, per capita greenhouse gas (GHG) emissions, aftershocks on population change, governance quality, and economic growth variables. Finally, the analysis was completed by the variance decomposition of all variables. These analyses were conducted for the 33 most polluting countries in terms of GHG from 1996 to 2019. The results show that both population growth and economic growth have a positive and significant influence on climate change and can strongly explain the gradual rise in Earth's temperature. Our empirical results show that there is a negative and significant relationship between the quality of governance and GHG emissions. The results show that there is a bidirectional causality between GHG emissions, population and economic growth. Based on the findings, this study proposes several policy recommendations.

Validation and Error Minimization of Global Ecosystem Dynamics Investigation (GEDI) Relative Height Metrics in the Amazon

Global Ecosystem Dynamics Investigation (GEDI) is a relatively new technology for global forest research, acquiring LiDAR measurements of vertical vegetation structure across Earth’s tropical, sub-tropical, and temperate forests. Previous GEDI validation efforts have largely focused on top of canopy accuracy, and findings vary by geographic region and forest type. Despite this, many applications utilize measurements of vertical vegetation distribution from the lower canopy, with a wide diversity of uses for GEDI data appearing in the literature. Given the variability in data requirements across research applications and ecosystems, and the regional variability in GEDI data quality, it is imperative to understand GEDI error to draw strong inferences. Here, we quantify the accuracy of GEDI relative height metrics through canopy layers for the Brazilian Amazon. To assess the accuracy of on-orbit GEDI L2A relative height metrics, we utilize the GEDI waveform simulator to compare detailed airborne laser scanning (ALS) data from the Sustainable Landscapes Brazil project to GEDI data collected by the International Space Station. We also assess the impacts of data filtering based on biophysical and GEDI sensor conditions and geolocation correction on GEDI error metrics (RMSE, MAE, and Bias) through canopy levels. GEDI data accuracy attenuates through the lower percentiles in the relative height (RH) curve. While top of canopy (RH98) measurements have relatively high accuracy (R2 = 0.76, RMSE = 5.33 m), the accuracy of data decreases lower in the canopy (RH50: R2 = 0.54, RMSE = 5.59 m). While simulated geolocation correction yielded marginal improvements, this decrease in accuracy remained constant despite all error reduction measures. Some error rates for the Amazon are double those reported in studies from other regions. These findings have broad implications for the application of GEDI data, especially in studies where forest understory measurements are particularly challenging to acquire (e.g., dense tropical forests) and where understory accuracy is highly important.

Analisis Biaya Operasional, Harga dan Kualitas Produk Terhadap Peningkatan Pendapatan Pada UMKM Kuliner di Sidoarjo

Background – Currently, many Micro, Small and Medium Enterprises (MSMEs) in the culinary sector are seeking to capitalize on the widespread appreciation for regional products that are embedded in the cultural fabric of Indonesian society. Likewise, in the Sidoarjo area, a multitude of culinary MSME owners are trying to attract consumers by offering products that offer typical flavors native to their respective regions. Aim – The aim of this research is to determine operational cost tests, price tests and product quality tests to increase the income of MSMEs Design / methodology / approach – This research method is quantitative research with SEM-PLS as a data analysis method with the Smart PLS 3.0 program. Data was collected through a questionnaire distributed to 100 research sample respondents, namely culinary MSMEs in Sidoarjo, with each variable measured using certain statement items. Findings – The findings of this research indicate that culinary MSMEs in Sidoarjo need to focus more on pricing strategies and improving product quality to increase their income. Operational cost efficiency does not necessarily contribute significantly to increasing revenue, possibly because human resources are an obstacle. This research provides important insights for MSME players and stakeholders in formulating effective business strategies, by emphasizing the importance of price and product quality in influencing income. Conclusion - The three variables studied were Operational Costs (X1), Price (X2), and Product Quality (X3), only the Price and Product Quality variables showed a positive and significant impact on Income Increase (Y) among culinary MSME actors in Sidoarjo. Research Implication – This research was carried out to determine whether operational costs incurred could be more effective and have a positive impact on productivity and income. Limitations – Limitations This research only involved the Sidoarjo area

Soft sensor modeling based on self-organizing fuzzy neural network with clustering, merging, and splitting scheme

Abstract As a pivotal role in the control, optimization, and monitoring of contemporary industrial processes, soft sensors are frequently employed in the prediction of key quality variables. To achieve accurate prediction of key quality variables in industrial processes, a soft sensor modeling method based on the self-organizing fuzzy neural network with the clustering, merging, and splitting scheme (SOFNN-CMS) is proposed. First, the supervised fuzzy C-means clustering algorithm is proposed to identify the appropriate initial center and width of the fuzzy neural network, obtaining appropriate initial fuzzy rules. Then, a neuron merging and splitting strategy is designed to adjust the structure of the fuzzy neural network, by merging and splitting the hidden neurons according to the distance of clusters, increasing the adaptability of the fuzzy neural network. Besides, to accelerate the convergence of estimation errors, an improved Levenberg Marquardt algorithm is utilized to update neural network parameters in the training phase, realizing the soft sensor modeling of key quality variables. The effectiveness of the proposed SOFNN-CMS neural network is demonstrated on two benchmark problems and an industrial debutanizer column. Finally, the experiments showcase that the proposed SOFNN-CMS neural network can obtain better soft sensor modeling performance with a compact structure.

Pengaruh Fasilitas dan Kualitas Pelayanan terhadap Kepuasan Pengunjung di Konser Musik Blackpink “Born Pink World Tour Jakarta 2023”

The Blackpink "Born Pink World Tour Jakarta 2023" concert, organized by iMe Indonesia as the promoter, faced a flood of criticism from attendees regarding issues such as double tickets, discrepancies in the number of seating facilities, and complaints about staff service that was perceived as unfriendly and slow in resolving problems. This study aims to test the hypothesis regarding the relationship between facilities and service quality at the concert and the level of attendee satisfaction. The research method used is quantitative with a survey design. The survey technique was employed to collect primary data by providing respondents with indicator statements through an online questionnaire. The research sample consisted of one hundred respondents who were Blackpink fans attending the concert. The data obtained were processed using IBM SPSS version 26. Data analysis was performed using descriptive analysis and multiple linear regression. The results of the study indicate that the independent variables of Facilities (X1) and Service Quality (X2) simultaneously affect the dependent variable of Attendee Satisfaction (Y). The practical implication of this study is the importance for promoters to pay attention to the quality of facilities and services to enhance visitor satisfaction at music concerts.

Factors Influencing Public Interest in Using Sharia Microfinance Institution Produsts in Lamongan

Islamic Microfinance Institutions (IMI) have a strategic role with their main function being to collect funds from people with excess funds and channel the funds to people in need effectively and efficiently. The existence of IMI is expected to help people, especially those from the lower middle class, in gaining access to funding. However, the perception and attitude of the community towards bank interests and the profit sharing system show diversity. Some people still choose to accept interest and consider it the same as the profit sharing system, so an analysis of factors that influence the community's interest in using IMI products is needed. The purpose of this study was to determine the effect of knowledge, promotion, service quality, and religiosity on the community's interest in using IMI products in Lamongan. The sample used was 100 samples selected using the purposive sampling method. The data was processed using multiple linear regression analysis techniques. The test results stated that partially and simultaneously, the variables of knowledge, service quality, promotion, and religiosity had a positive effect on the community's interest in using IMI products in Lamongan.

Combined Application of Chemical Fertilizer and Organic Amendment Improved Soil Quality in a Wheat–Sweet Potato Rotation System

The long-term excessive use of chemical fertilizers may result in soil degradation, but manure and straw application is considered to be an effective approach for alleviating this problem. The aim of this study is to examine the long-term impacts of different fertilization patterns on soil quality variables in a wheat–sweet potato rotation system. Four treatments were conducted in a field trial for a duration of twelve years, including (1) no fertilizer (control, CK); (2) application of mineral fertilizers (NPK) alone; (3) NPK with crop straw return (NPKs); (4) combined use of NPK and farmyard manure (NPKm). Thirteen physical, chemical, and biological soil parameters were measured. The results showed that the NPKm and NPKs significantly improved the proportion of macroaggregates (>0.25 mm) by 24.7% and 21.9% compared to the NPK alone, respectively. The proportion of microaggregates (0.053–0.25 mm) under the NPKm was 47.4% significantly higher than the NPKs. Additionally, the NPKm resulted in a 22.2% and 19.6% increase in the SOC content than the NPK and NPKs, respectively. In terms of soil-available K, the NPKs resulted in levels that were 42.1% and 49.6% higher than the NPKm and NPK alone, respectively. Long-term fertilization significantly decreased soil pH by 0.95–1.85 units compared to the control, whereas manure application could alleviate soil acidification, as shown when the pH increased by 10.6–18.7%. The NPKm and NPKs resulted in significantly increased soil pHs by 10.6% and 18.7% compared to the NPK alone, respectively. In addition, the NPKm and NPKs increased N-acetyl-β-D-glucosaminidase activity by 52.6% and 60.3% compared to the NPK alone. Determined by the minimum data set method, the NPKm treatment exhibited the highest soil quality index, followed by the NPKs and NPK. Our findings suggested that the combined use of chemical fertilizers with organic amendments proved beneficial for enhancing soil quality.

Evaluating the Impact of the World Health Organization's Surgical Safety Checklist on Clinical Outcomes and Implementation Strategies: A Systematic Review.

This systematic review evaluates the impact and implementation strategies of the World Health Organization's Surgical Safety Checklist (WHO SSC) across diverse healthcare settings since its introduction in 2008. Our comprehensive analysis synthesizes findings from various study designs, including randomized controlled trials, qualitative studies, and meta-analyses, focusing on the checklist's effectiveness in reducing surgical complications and enhancing safety cultures within surgical teams. Despite its widespread endorsement and documented benefits, the review highlights significant variability in implementation quality and adherence, influenced by cultural, institutional, and procedural factors. The findings suggest that optimized adaptation and contextual application of the WHO SSC are crucial for maximizing its clinical benefits, particularly in low-resource settings. This review not only confirms the checklist's efficacy in improving surgical outcomes but also underscores the need for evidence-based strategies to enhance its global implementation and effectiveness.

An Integrated Dynamic and Quality Modeling Framework for Batch Processes

This manuscript considers batch process operations and addresses the challenge of identifying a model that synergistically captures the dynamic input–output behavior of continuously measured variables along with the quality variables measured only at batch termination. To this end, an optimization-based framework is developed to identify one model that captures both the dynamics between the inputs and the continuously measured output variables, measurements of which are available at every time step, and the relation between the dynamic “state” information and the terminal quality measurements. Existing approaches either do not identify the dynamic and the quality model simultaneously, or they simply connect the whole trajectory of the process variables with the qualities and do not address the dynamic relationship between the inputs and the process variables. The improved modelling performance of the model obtained from this approach is demonstrated using data from a Uni-axial Rotational Molding process, and compared with existing modelling approaches.

Analysis of the General Situation of Organic Fertilizer in China

Organic fertilizers are crucial to China's agriculture, significantly enhancing soil fertility and sustainability. Derived from sources like livestock manure, crop residues, and green manure, these fertilizers improve soil structure, water retention, and nutrient availability, thus boosting crop yields and soil health. Despite their benefits, challenges such as variability in quality, application efficiency, and balancing with inorganic fertilizers remain. Government policies and ongoing research are addressing these issues to optimize the use of organic fertilizers and support sustainable agricultural practices.

Stress is simultaneously related to sleep and temporomandibular disorders.

This study aimed to clarify the relationship between the oral environment and psychological factors as predictor variables of sleep quality, in addition to inferring the relevant mechanisms of sleep and temporomandibular disorders (TMDs) by analyzing the relationship between TMDs and stress. This cross-sectional study analyzed data from 1,032 participants, comprising 420 men and 612 women, from the 2017 Iwaki Health Promotion Project using multiple regression analysis. The primary endpoints were the scores of each item in the Pittsburgh Sleep Quality Index (PSQI) and its sum. Predictor variables included the number of teeth; TMDs; stress, assessed using the World Health Organization-5 (WHO-5); sleep bruxism; and oral health-related quality of life, assessed using the oral health impact profile-14 (OHIP14). The confounding factors included age, body mass index, and alcohol intake. Multiple regression analysis revealed that TMDs (β value = 0.293, p = 0.034) and stress (β value = 1.3, p < 0.001) were significantly correlated with the PSQI total score. In addition, TMDs were significantly correlated with stress (β value = 0.076, p = 0.007). The significant relationship between sleep and TMDs suggests that mental stress contributes to the development sleep disorders and consequently is associated with the development of TMD symptoms.

The Influence of Mobile Banking Service Quality on Customer Satisfaction

This study aims to determine the effect of BSI Mobile Banking Service Quality on Customer Satisfaction (Case Study of Students of the Faculty of Islamic Economics and Business, UIN SUMATRA UTARA). The research method used is quantitative. The data source for this research is Bank Syariah Indonesia (BSI) mobile banking customers who are Fakultas Ekonomi Dan Bisnis Islam Students at Uin Sumatra Utara, and uses primary data. By using a collection technique through a questionnaire (questionnaire). The data analysis technique used in this study is to test the quality of the data, namely validity and reliability tests, multiple linear regression tests, and t tests. After going through quantitative procedures, this study obtained the reSumatra Utaralts that Mobile Banking Service Quality had an effect on Customer Satisfaction as evidenced by the correlation test which obtained reSumatra Utaralts of 0.000) &lt;0.05. This means that the service quality variable has a positive and significant effect on customer satisfaction variables. Based on the reSumatra Utaralts of this study, the independent variable (Service Quality) of BSI Mobile has a significant effect on the dependent variable (Customer Satisfaction) of Faculty of Islamic Economics and Business Uin Sumatra Utara students.

Barriers to Offering Organ Preservation for Rectal Cancer in a Predominantly Hispanic Safety Net Hospital.

Total neoadjuvant therapy (TNT) for locally advanced rectal cancer (LARC) has shown promise in achieving pathologic complete response (pCR) and enabling organ preservation through watch-and-wait (WW) strategies. However, implementation of WW protocols in diverse patient populations and safety-net hospitals faces unique challenges. The objective of this study is to evaluate TNT outcomes and identify barriers to WW implementation in a predominantly Hispanic safety-net hospital in South Texas. A retrospective review was conducted of 40 LARC patients treated with TNT at an academic tertiary referral center in South Texas between 2018 and 2023. Patient demographics, disease characteristics, and pCR rates were analyzed. A survey of multidisciplinary providers assessed perceived institutional and patient-related barriers to WW implementation. The cohort was 70% Hispanic, with a median age of 54 years. Most patients had advanced disease at diagnosis (57.5% T4, 65% N2). The pCR rate was 18.5% (5/27) among patients undergoing surgery. Re-review of MRIs for pCR patients revealed that 2/5 had minimal residual disease. The provider survey identified MRI quality variability, lack of dedicated treatment coordinators, and concerns about patient compliance and financial barriers as key obstacles to WW implementation. Despite advanced disease presentation in a predominantly Hispanic population, TNT achieved pCR rates comparable to international trials. Institutional and patient-level barriers to WW were identified, informing the development of a tailored WW protocol for this unique patient population.

A longitudinal test of relational turbulence theory and serial arguments in romantic relationships

Abstract Relational turbulence theory (RTT) suggests that people perceive their romantic relationships as turbulent when they experience interactions that manifest the deleterious effects of relational uncertainty and altered patterns of interdependence. RTT also positions communication in these episodes as associated with subsequent relational uncertainty and qualities of interdependence. Using three-wave panel data collected at three-week intervals, this study evaluates (a) how communication in serial argument episodes predict relationship parameters (i.e., relational uncertainty and qualities of interdependence), (b) how relationship parameters predict serial argument occurrence, directness, and valence, and (c) whether over time variability in qualities of serial argument communication predict subsequent relational turbulence. Results indicated limited support for reciprocal, between-wave associations between relationship qualities and serial argument communication; however, over time variability in the valence of serial argument communication was associated with higher levels of relational turbulence after 6 weeks. Implications for RTT and research on serial arguments are discussed.

Pengaruh Harga Dan Kualitas Pelayanan Terhadap Kepuasan Pelanggan Dan Dampaknya Terhadap Citra PT. Sucofindo

The high level of competition and the increasingly advanced era requires companies to be more innovative in adapting to changes that have occurred. The ups and downs of the company often occur along with changes in environmental conditions around it. In addition, the influence of government regulations can also affect the dynamics of competition in these sectors. With the implementation of good service quality, it is hoped that customer satisfaction will be achieved which will certainly have an impact on the development of PT Sucofindo in the future. The objectives of this study are: (1) To determine the effect of price on customer satisfaction in using PT Sucofindo's services. (2) To determine the effect of service quality on customer satisfaction in using PT Sucofindo's services. (3) To determine the effect of price on the brand image of PT Sucofindo's services. (4) To determine the effect of service quality on the brand image of PT Sucofindo. (5) To determine the effect of customer satisfaction on the brand image of PT Sucofindo. (6) To determine the mediation of customer satisfaction on the effect of price on the brand image of PT Sucofindo. (7) To determine the mediation of customer satisfaction on the effect of service quality on the brand image of PT Sucofindo. In this study, data processing and analysis used the Partial Least Square (PLS) approach. PLS is a Structural Equation Modeling (SEM) model based on components or variants. While PLS is more of a predictive model. Data analysis in this study is Outer Model Analysis, Inner Model, and Hypothesis Testing. Based on the results of the analysis, it shows that: (1) Price does not affect Customer Satisfaction; (2) Service Quality affects Customer Satisfaction; (3) Price affects Brand Image; (4) Service Quality affects Brand Image; (5) Customer Satisfaction affects Brand Image; (6) Mediating customer satisfaction on the influence of price on brand image has no effect; and (7) Mediating customer satisfaction on the influence of price on brand image has an effect. It can be concluded that the variables of Service Quality and Customer Satisfaction affect the brand image of PT. Sucofindo.

Comparative Analysis of the Health Status of Heart Transplant Patients with Different Levels of Physical Activity

This study’s goals were to determine the health status of a group of heart transplant recipients (HTRs) and their level of physical activity and to compare the health status among them and with a group of healthy sedentary individuals. Fifty-four HTRs and eighteen sedentary individuals (S) were assigned to four groups, according to their level of physical activity (determined with the International Physical Activity Questionnaire); patients with a low, moderate, and high level of physical activity (HTRL, HTRM, and HTRH, respectively) and S participants underwent a basic blood analysis and several tests to assess their cardiovascular, neuromuscular, and functional mobility condition and their quality of life. The S and HTRH were very similar in terms of BP, HR, and blood analysis while HTRM and HTRL differed from both S and HTRH in these parameters. Regarding the cardiovascular, neuromuscular, functional mobility, and quality of life variables assessed in this study, HTRH showed the best results across all of them, followed by S, HTRM, and HTRL. It is suggested that the weekly level of physical activity of HTRs should be high, which might help them to enhance their health and quality of life.

ANALISIS PENGARUH HARGA, KUALITAS, DAN PROMOSI TERHADAP KEPUTUSAN PEMBELIAN YANG DIMEDIASI OLEH MINAT BELI LAMPU PANDAWA LED

This quantitative study aims to analyze the effect of price, quality, and promotion on purchasing decisions mediated by buying interest in Pandawa Led lamps. The population in this study were consumers of Pandawa LED lamps at the Gema Lawu Elektronik Plaosan store, from which data was taken in part with a Likert-scale questionnaire. The sampling technique in this study was non probability sampling with a purposive sampling approach. The data analysis technique used in this study is to use PLS-SEM analysis consisting of two Outer model and Inner model. The results showed that price, product quality and promotion had a positive and significant effect on purchasing decisions. Likewise, price, product quality and promotion have a positive and significant effect on purchase intention. The same results on the mediating variable can be explained that buying interest mediates the influence between price, product quality and promotion variables on purchasing decisions.