Aid Of Software Research Articles

A Robotic Flutist Framework for Exploring Acoustics, Human—Instrument Interaction, and Musical Creation

Abstract This article introduces an experimental robotic setup designed to investigate the performance and sound production of flutes. The flute, renowned for its intricate mechanism enabling musicians to dynamically adjust various parameters, yields a diverse range of rich sounds. A key feature of the flute involves the embouchure—the shaping of the air channel by the musician's lips—providing control over airflow, velocity, distance to the labium, inclination, and position. The robotic testbed manipulates critical parameters of the sound-producing system, incorporating an artificial mouth and a motorized mechanism for adjusting jet length, incident angle, and offset. Specialized software aids in route planning, visualization, and description of the controllable parameter trajectories, also generating automatic positions based on a predefined dictionary. Experimental findings showcase the robot's proficiency in playing simple melodies and producing harmonically rich sounds within the specified range. Spectrogram analysis reveals successful reproduction of intended pitches and timbres. This robotic testbed emerges as a valuable tool for delving into the acoustics of the flute and the interaction between performers and flutes. It provides a robust platform for composers to create music that surpasses normal human capabilities and contributes to the comprehension and design of these intricate instruments.

Analysis of Social Network Dynamics Around the Hashtag #ESG ON X (FORMERLY TWITTER): Evolution, Influencers and Topics

Objective: To investigate the dynamics of the social network formed around the hashtag #ESG on X (formerly Twitter), with the aim of analyzing its evolution over time, identifying the main topics of debate, actors, influencers and communities, and exploring the geographic origin of the main participants, observing regional or global patterns of participation. Theoretical Framework: This topic highlights the concepts of ESG and its evolution, the relevance of social media in the dissemination of the ESG agenda and the findings of previous studies on ESG and social media. Method: Social Network Analysis (SNA) techniques were adopted, with the aid of NodeXL software. Data collection was carried out by extracting public posts on X related to the hashtag #ESG between January 1 and December 31, 2023. Results and Discussion: The results revealed a complex and heterogeneous network, with different levels of influence and connectivity among users. Key figures who play central roles in the dissemination of information about ESG were identified. In the discussion section, these results are contextualized in light of the theoretical framework. Research Implications: By mapping key actors and communities, companies can identify their main stakeholders and direct their communication and engagement actions, developing more effective strategies to promote their practices and connect with their audiences. Originality/Value: This study contributes to the literature by exploring the dynamics of ESG discussions on Twitter over the course of an entire year, offering a continuous rather than a one-off analysis. The relevance and value of the research are evidenced by the identification of seasonality, influencers and key topics, with potential impact on understanding interactions and influences on social media about ESG.

Space-Charge Effect on the Theoretical Design of Electron Gun Operated under Zero Magnification Condition

A computational investigation is carried out in the field of charged –particle optics with the aid of numerical analysis method using the personal computer. The work is concerned with the design of electron gun with space-charge effect. The Finite element method (FEM) used in the solution of Poison's equation for determine the axial potential distribution of the two-electrode immersion lens operated under zero magnification condition , and from the solution of the paraxial ray equation the optical properties such as the focal length , spherical and chromatic aberration coefficients are determined, also a calculation of the brightness and perveance for the lens. The electrodes geometry was determined in two and three dimension with the aid of new drawing software called SIMION 7 and the electron beam trajectory under zero magnification conditions has been determine for these electrodes.

Enhancing Healthcare Efficiency at Almasara Hospital: Distributed Data Analysis and Patient Risk Management

This study presents a distributed system using RAY, K-means clustering, and Weka software to analyze clinical data from Almasara Hospital Group in Tripoli, Libya. The goal is to reduce patient risk and healthcare costs by providing daily feedback to hospital staff. The system utilizes a dataset containing information on 560 patients, including details like patient ID, gender, doctor ID, test IDs, medication, and a binary target variable. By implementing K-means clustering in Weka, the system categorizes patients and identifies patterns to reduce risks and costs for healthcare analytics. The study first reviews existing patient care and feedback practices and then details the implementation of the daily feedback system, which involves advanced data analysis for managing patient feedback and medical data continuously. The use of K-means clustering helps segment patient data, pinpointing specific risk factors and areas for improvement. Weka software aids in the in-depth analysis of these segments, leading to actionable insights. Results show significant improvements in patient outcomes, reduced hospital-acquired infections, and medication errors, and enhanced patient satisfaction scores. Moreover, the study notes a substantial decrease in overall healthcare costs due to more efficient resource allocation and lower hospital readmission rates. This integration of daily feedback with advanced data analysis tools like K-means and Weka emerges as an effective strategy for improving patient safety and operational efficiency in healthcare settings, demonstrating the value of data-driven decision-making and providing a scalable model for other hospitals aiming to enhance patient care and cost management.

Research on Personalized Design and Recommendation Systems for Cultural and Creative Products Based on User Behavior Data

Personalized recommendation technology involves the process of soliciting user data and prescribing a user interest model and active recommendations for some users. Such kinds of creative products involve subjective judgments and intricate patterns in the aesthetics, and it is always difficult to encode algorithms that are capable of understanding and recommending these subjective aspects. In this paper, the beetle swarm optimization algorithm is incorporated into a refined deep neural network model called the beetle swarm-drive refined deep neural network (BS-RDNN) for the analysis of personalized design and recommendation systems for user behaviors. Information about user behavior and feedback was collected as part of this study. The data were preprocessed using Min-Max normalization. t-distributed stochastic neighbor embedding (t-SNE) is employed to reduce the dataset dimensions. The proposed method is discussed with other types of recommendation algorithms. The proposed method is implemented with the aid of Python software. This result proves that the BS-RDNN method has better performance in terms of precision (91.34%), accuracy (93.24%), F1-score (92.23%), recall (92.44%), AUC (91.42%), and overall satisfaction of the users. Therefore, the use of the suggested system to coordinate with the design ideas of different individuals can benefit the field of cultural and creative products.

STRUCTURAL EVALUATION OF HIGHWAY AND AIRFIELD PCC PAVEMENTS USING THE FALLING WEIGHT DEFLECTOMETER

This scientific article presents an in-depth evaluation of the structural properties of Portland Cement Concrete (PCC) pavements, utilizing the Falling Weight Deflectometer (FWD) for non-destructive, in-situ testing. The methodology involves measuring the elastic moduli of both the concrete and underlying foundation, crucial for assessing the pavement's load-bearing capacity and integrity at various points, including joints and corners. This is achieved by analyzing deflection basins with the aid of computer software designed to back-calculate these properties considering the non-linear behavior of the foundation support. The paper outlines the FWD testing procedure and the theoretical frameworks used, including Westergaard's equations for joint and corner analysis and the Method of Equivalent Thicknesses for layer analysis. The importance of accurately determining the foundation support quality at joints and corners and the effectiveness of load transfer across them is emphasized, as these factors significantly influence the pavement's performance and durability. Practical examples and empirical relationships are discussed, linking mechanistic material properties with actual pavement performance to aid in maintenance and rehabilitation decisions. The study underscores the value of FWD data in predicting future pavement conditions, thereby facilitating more informed and cost-effective infrastructure management practices. Overall, this research contributes to the advancement of pavement evaluation techniques, offering valuable insights into the fundamental structural properties of PCC pavements and their practical implications for pavement management systems. (Abstract generated by AI tool ChatGPT 4)

Dynamics Of Federalism And Impacts On State Capacity: A Scientometric Analysis

Background: With the promulgation of the 1988 Constitution, the promotion of municipal state capacities became a central theme associated with federalism. There has been an increase in scientific production in recent decades regarding the federative perspective and its impacts on municipal state capacities in Brazil. The objective of this study was to investigate and analyze the intellectual structure of studies that relate state capacity and federalism, identifying their constitutive elements and the influences they exert on the understanding of the topic during the period from 1999 to 2023. Materials and Methods: The study has a descriptive and exploratory nature with a quantitative-qualitative approach. For data processing, the scientometric technique was used with the aid of the VOSviewer software. The search was conducted on March 27, 2023, retrieving 279 articles through title, abstract, and keyword searches in the Web of Science. Filters were applied to refine the search, selecting “Article” and “Open Access,” resulting in 76 articles. After an initial screening, a final sample of 72 articles was established. Results: The peak of publications and citations occurred during the COVID-19 pandemic, suggesting a growing concern with understanding how federalism can affect governments' capacity to address health issues and the importance of the state's role in this context. Conclusion: Its importance stands out in the decentralization of responsibilities, the promotion of state capacity, and the response to institutional crises. This concern is not limited to Brazil, the United States, and China; it extends to other countries, highlighting that it is a global issue of great relevance.

The Implementation of Data Mining in Measuring Student Satisfaction Levels at IAIN Kerinci

Measuring student satisfaction is crucial to consider, given the high level of competition in the education sector alongside the advancement of knowledge and technology. It is essential to ensure that the services expected by students align with what they actually receive. Measuring student satisfaction can significantly assist higher education institutions in improving the quality of services, which in turn can impact the increase in student enrollment. This study employs a quantitative method, utilizing one of the data mining techniques, namely classification with the C4.5 algorithm, to measure student satisfaction levels. The population in this study consists of active students at IAIN Kerinci, with a sample size of 100 respondents. These students act as subjects who provide assessments or opinions on variables characterized by Tangible, Reliability, Responsiveness, Assurance, and Empathy. The data is then processed using data mining classification techniques, and testing is performed with the aid of RapidMiner software. The calculation and testing results demonstrate that data mining successfully classifies the variables in measuring student satisfaction with excellent performance, producing 10 rules from the decision tree with an accuracy rate of 98.22%. These rules are expected to serve as a basis for decision-making to determine actions that need to be taken to enhance student satisfaction.

DEVELOPMENT OF A COMPREHENSIVE SOFTWARE SOLUTION FOR PROCESSING HIGH-SULFUR, COPPER-POOR CONCENTRATES IN THE COPPER SMELTING INDUSTRY

The depletion of high-grade copper ores and the increasing prevalence of lowgrade, high-sulfur copper concentrates present significant challenges to the copper smelting industry. Traditional smelting processes struggle to maintain economic viability and comply with environmental regulations when processing these complex ores. This paper details the development of a comprehensive software solution designed to simulate the smelting process for high-sulfur, copper-poor concentrates. The software employs a detailed mathematical model to predict the yields and compositions of products, including valuable metals, during the smelting process. It integrates multiple modules, such as ore input, smelting simulation, and results presentation, providing a userfriendly platform for optimizing smelting operations. Critical parameters like ore composition, smelting temperature, and flux addition are incorporated into the model, enabling accurate predictions of matte and slag outputs. By analyzing these outputs, the software aids in optimizing metal recovery and reducing losses, ultimately enhancing the efficiency and sustainability of copper production. This tool is particularly relevant for large sulfide copper ore deposits, such as those in Kazakhstan, which have high sulfur content and low copper levels. The software's ability to simulate different processing scenarios provides valuable insights for industrial applications, supporting the development of more efficient and eco-friendly smelting technologies. The comprehensive software solution not only addresses the technical challenges of processing high-sulfur, low-copper ores but also contributes to the industry's efforts to reduce environmental impact and improve resource management. This innovation represents a significant step forward in the optimization of copper smelting operations, promoting sustainability and efficiency in the face of declining ore quality.

Compaction-induced prestressing effect of geocell reinforcement

The loading and unloading actions of rollers during the construction of geocell-reinforced soil subgrade lead to the compaction of infill materials, which further causes the geocell pockets to expand. Due to the pre-tensioning of the geocells, such responses result in increased lateral confinement of the infill soil prior to the service of the geocell-reinforced soil subgrade. The phenomenon was defined as the Compaction-induced Prestressing Effect (CIPE) in this paper, which was verified through the finite difference method-discrete element method (FDM-DEM) coupling numerical simulations on reinforced subgrade with the aid of FLAC3D and PFC3D software. An equation was proposed to quantitatively describe the influence of CIPE on the initial stiffness of the reinforced subgrade. Furthermore, experiments and numerical simulations were employed to investigate the evolution of Modulus Improvement Factor (MIF) values over time, where the rheological properties of geocells were considered. The findings indicated that geocell sheets experienced a normal deformation of approximately 0.5 mm and tensile strains ranging from 0.17% to 0.21% following vibration compaction. The MIF values ranged from 2 to 6 due to CIPE. When the prestressing strain of the geocell sheet reached 0.1%, the geocell strain stabilized within 300 seconds, with the MIF decreasing by 27.6%.

Modeling the Co-Infection Dynamics of COVID-19 and Dengue: Well-posedness, Analysis of Equilibrium Properties and Numerical Simulations

COVID-19 is an infectious disease primarily transmitted to individuals through direct contact with respiratory droplets. The infection, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), continues to spread globally infecting around 776 million confirmed cases, including over 7 million deaths. Meanwhile, dengue is a vector-borne disease caused by the Flaviviridae virus and is transmitted through bites from female mosquitoes, primarily Aedes aegypti and Aedes albopictus. It is estimated that 390 million dengue virus infections occur per year caused by four distinct virus serotypes–DENV-1, DENV-2, DENV-3, and DENV-4. The COVID-19 pandemic has further strained public health systems, particularly in tropical and subtropical regions where dengue is endemic. The overlapping presence of these infectious diseases heightens the risk of co-infection, posing additional diagnostic and treatment challenges. Co-infection of COVID-19 and dengue cases were already reported and confirmed in several countries. In this study, an 11-compartmentalized deterministic mathematical model was developed to understand the transmission dynamics of COVID-19 and dengue co-infection. This modeling approach was described by a system of ordinary differential equations (ODEs), examining disease progression over time, offering insights into potential co-infection scenarios andcontrol strategies to help guide public health interventions. The well-posedness of the model was verified, ensuring the existence and uniqueness of its solutions based on continuity, local Lipschitz conditions, and invariance over a compact feasible region. The basic reproduction number (R0), a significant indicator of disease transmission, was calculated using the Next Generation Method (NGM). Four equilibrium points were identified: the disease-free, COVID-19-only, dengue-only, and COVID-19-dengue co-infection equilibrium points. Threshold values of the basic reproduction number were calculated to establish the conditions for the existence and stability of the equilibrium points. These equilibrium points and threshold values provide critical insight into the conditions necessary for eradicating or controlling each disease, serving as a guide for developing interventions during different stages of an epidemic or pandemic. Furthermore, a phase diagram of two parameters sensitive to R0 (COVID-19 transmission βc and dengue vector-to-human transmission Cvh) was established which presented six distinct regions of existence and stability states of the equilibrium points. These regions described different stable epidemiological scenarios whenever the parameter values were varied. Numerical simulations were conducted to verify the stability results and to analyze the effects of varied parameter values on the model solution. The simulations illustrated the positive impacts of reducing the recovery period on the spread of infections even with increasing transmission rates. This demonstrates the effectiveness of timely interventions, such as accelerated recovery through early diagnosis and treatment, in mitigating the severity of outbreaks. All the algebraic calculations, analysis, and numerical simulations were conducted with the aid of MATLAB R2023b and Maple software.

Structural, electronic, vibrational, optical and thermoelectric properties of 1T-Na2O monolayer via MD and DFT study

Abstract Density Functional Theory (DFT) was implemented to determine the physical properties of the 1T-Na2O monolayer with the aid of WIEN2k software. To determine the electronic property exchange correlation such as GGA and hybrid functionals were implemented. The electronic property studies unveiled the 1T-Na2O monolayer as a direct bandgap semiconductor that has band gap values of 1.68 eV and 2.75 eV with GGA and hybrid correlation functionals. The dynamical stability of the 1T-Na2O monolayer was established by harnessing Phonon dispersion analysis, while the thermal stability was established by harnessing the Ab-initio Molecular Dynamics (AIMD). The optical properties investigation revealed that the 1T-Na2O monolayer shows an excellent absorption coefficient in the UV region and has a potential application in optoelectronic applications. The 1T-Na2O monolayer shows promise for waste heat recovery systems due to its thermoelectric properties, with a figure of merit of 0.82 at 400 K. The effective masses of electrons and holes (charge carriers) are determined. The relative ratio was estimated to determine the recombination rate of charge carriers and was found to be limited.

The relationship between the stress of parental and teacher academic expectations and student anxiety: The mediating role of social skills

Background: Elevated academic expectations imposed by parents and teachers can adversely affect student well-being and contribute to heightened anxiety levels. This study aimed to investigate the mediating role of social skills in the relationship between the stress of parental and teacher academic expectations and anxiety in high school students. Methods: This investigation employed a cross-sectional, correlational descriptive research design. The statistical population encompassed all high school students enrolled in Isfahan during the 2022-2023 academic year. A cluster sampling technique was utilized to select a sample of 225 students. Data collection was facilitated through the administration of the Penn State Worry Questionnaire (PSWQ), Social Skills Rating System-Secondary Students Form (SSRS-SS), and Academic Expectations Stress Inventory (AESI). The proposed theoretical model was assessed using structural equation modeling with the aid of SPSS-23 and SmartPLS-4 software. Results: The findings revealed a positive and significant correlation between both parental (r=0.44, P<0.01) and teacher (r=0.41, P<0.01) academic expectations and student anxiety. Conversely, a negative and significant correlation was observed between parental (r=-0.36, P<0.01) and teacher (r=-0.42, P<0.01) expectations and students’ social skills. Furthermore, social skills demonstrated a negative and significant association with student anxiety (r=-0.31, P<0.01). Notably, social skills mediated the relationship between parental and teacher academic expectations and student anxiety (P=0.001). Conclusion: High academic expectations from parents and teachers can increase student anxiety. However, strong social skills can buffer this negative impact. To improve student well-being, interventions should focus on both academic success and social-emotional development.

Dynamic Response Analysis of Orthogonal and Skewed Slabs to Touch-off Explosion: Investigating Comparative Efficacy and Damage Mechanisms

Abstract Skewed slabs, deviating from conventional orthogonal alignment, pose distinctive structural hurdles. Despite their aesthetic allure and spatial efficiency, their incorporation entails intricate challenges in design, analysis, and construction. Within structural frameworks, slabs are pivotal elements susceptible to devastating impacts from contact explosions, like those triggered by suitcase or parcel bombs, in numerous engineering scenarios. The events like the Beirut explosion in 2022 and the Tianjin blast in 2023 serve as poignant reminders of the urgent need to grasp and address these dangers effectively. Slabs, whether arranged orthogonally or skewed, are fundamental in various engineering frameworks. Despite their key role in load support, slabs are highly vulnerable to damage from explosions, particularly contact blasts like suitcase bombs. Understanding slab behavior under such conditions is crucial for bolstering structural resilience and devising effective defense strategies against potential threats. This research endeavors to contribute to defense technology by examining the dynamic response of both orthogonal and skewed slabs to contact explosions, furnishing indispensable insights aimed at fortifying structural security in diverse environments. The blast is emulated through the utilization of the Eulerian-Lagrangian method, employing the Finite Element Analysis (FEA) technique with the aid of the Abaqus software. Slabs featuring various degrees of skew, including 15°, 30°, and 45°, are under scrutiny, and their comparative efficacy is evaluated against the benchmark of an orthogonal slab. The performance of the orthogonal slab is validated by comparing it to data from previous experiments published in academic literature. The findings revealed that with an escalating skew angle, there’s a reduction in perforation dimensions alongside a rise in peripheral damage. Furthermore, the hierarchical order of damage severity among configurations corresponds to the angles: 15° > 30° > 45°, highlighting critical considerations for structural resilience.

CFD Investigation of Toluene Emission In a Printing Room

Volatile organic compounds (VOCs) comprise several harmful chemical such as benzene and toluene, that can cause acute and chronic health effects for individuals. One of contributors of VOC are printers, photocopiers, and fax machine that use ink that when it is heated during printing operations will emit VOC. Printing shops heavily operate these devices (machines) and often several of them at the same time and this will cause the VOC level inside the premises to be higher compared to home and offices that have similar equipment. This study estimates the VOC, particularly toluene, concentration, and distribution inside a printing room, by using Computer Fluid Dynamic (CFD) analysis approach software. The software aid in physical modelling of the emission flow based on copiers machine numbers and influence of parameters like concentration levels and anthropometric data. Despite implementing ventilation and at a minimum number of operating copiers, the study reveals that toluene emissions exceed the recommended limit, particularly among females who have higher exposure than males due to height. The quantity of copiers and the positioning influenced the dispersion of toluene in the investigated area.

PENGARUH KUALITAS PRODUK, KEPERCAYAAN MEREK DAN SOCIAL MEDIA MARKETING TERHADAP KEPUTUSAN PEMBELIAN LIPSTIK WARDAH DI KOTA SURABAYA

In the era of rapid technological advancement, companies need to devise the right strategies and enhance innovation to attract consumers and excel in the dynamic market competition. This study aims to investigate the influence of product quality on purchasing decisions, examine the impact of brand trust on purchasing decisions, and explore the effect of social media marketing on purchasing decisions. The study employs a quantitative approach. The population consists of Wardah lipstick consumers in Surabaya City, and a sample of 120 respondents is drawn. Purposive sampling is utilized as the sampling technique. Data collection is conducted using questionnaires, and a Likert scale is employed to measure the variables in the study. The analysis technique used is partial least squares (PLS) analysis with the aid of SmartPLS software. The findings of the study reveal that product quality and brand trust significantly influence purchasing decisions. However, social media marketing does not significantly impact purchasing decisions. Keywords: Product Quality; Brand Trust; Social Media Marketing; Purchasing Decisions

The development of a didactic sequence for teaching fundamental trigonometric equations in basic education

The research is related to the teaching and learning of Fundamental Trigonometric Equations. The guiding question of the research was: How will a Didactic Sequence, developed according to the structuring model (UARC), with the aid of concrete material and software, contribute to improvements in the teaching and learning process of Trigonometric Equations? To answer this question, the general objective was defined to propose the development of a Didactic Sequence to enhance the teaching and learning of Fundamental Trigonometric Equations. The didactic sequence is structured according to the construct of Articulated Units of Conceptual Reconstruction (UARC), according to Cabral (2017). Dissertations and textbooks on the subject were analyzed, in addition to a questionnaire via Google Forms being applied to high school mathematics teachers and alumni with questions relevant to the research; the data collected corroborated the methodological objectives outlined. The teaching sequence was applied to an experimental class, while the control class was taught in a traditional way. At the end of the classes, both groups took a test to verify their learning. The analysis of the results is based on the theories of Microgenetic Analysis by Góes (2000) and Discourse Analysis by Mortimer and Scoot (2002). The transcribed learning evidence, together with the average grades on the learning verification test of the experimental class, indicated that the use of the teaching sequence for teaching fundamental trigonometric equations with the help of manipulative materials proved to be an efficient methodological alternative for teaching.

Facebook and Consumer Research: A Review, AI‐Driven Thematic Visualisation, and Research Agenda

ABSTRACTThis paper explores the evolution of academic consumer research on Facebook by consolidating the existing body of literature. The study consists of 336 papers on the topic of Facebook and consumers, published in top journals between 2008 and 2023, sourced via Scopus. The data collection followed the PRISMA framework, and bibliometric analysis was conducted using descriptive and performance analyses with the aid of data tabulation software. Additionally, natural language processing (NLP) and thematic analysis of the data were conducted via text mining, topic modelling and data visualisation with Leximancer—an artificial intelligence (AI)‐based programme. The results revealed that, over the 15‐year time period, and most prominently in the last 5 years, there has been a noticeable shift in consumer research on Facebook in line with the evolution of the social media platform itself. The paper identifies evident gaps in the literature via thematic analysis of future research suggestions and managerial implications emergent from the data. It proposes specific future research directions for academic researchers to explore. Practitioners are provided insights corresponding to consumer‐centric and effective social media marketing strategies.

Comparison of Visual and Refractive Outcomes ofKeratorefractive Lenticule Extraction for Compound Myopic Astigmatism Between VisuMax and VISUMAX 800.

To evaluate the visual outcomes of keratorefractive lenticule extraction using a new version of a femtosecond laser platform with semi-automated cyclotorsion compensation in comparison to the previous generation without cyclotorsion control. This was an ambispective study of consecutive eyes treated by SMILE with the VisuMax and VISUMAX 800 femtosecond lasers at the Uma Eye clinic, Chennai, India between June 2022 and July 2023. Inclusion criteria were myopia up to -10 D and astigmatism between 1.5 D and 5 D. Data was retrospectively collected from patients that underwent SMILE using the VisuMax without cyclotorsion compensation and prospectively collected from patients undergoing SMILE using the VISUMAX 800 with Oculign and Centralign software aids. Data was collected from a total of 220 eyes that underwent routine SMILE; 115 eyes with VisuMax (VM500 group) and 105 eyes with VISUMAX 800 (VM800 group). The mean attempted spherical equivalent was -4.82±2.16 D in the VM500 group and -4.80±2.24 in the VM800 group. At the 3-month postoperative visit, 94% of eyes in the VM500 group and 98% of eyes in the VM800 group had an UDVA of 20/20 or better. Accuracy of the SEQ showed that 71% of eyes were within ±0.50 D and 100% were within ±1.00 D of target in the VM500 group and 96% of eyes were within ±0.50 D and 100% were within ±1.00 D of target in the VM800 group. There were no reported cases of suction loss or any other intraoperative complication in either group. SMILE with the VisuMax and VISUMAX 800 provided excellent visual and refractive outcomes for subjects with myopic astigmatism. The VISUMAX 800, using Oculign and Centralign aids, demonstrated better accuracy when correcting cylinder greater than 2 D compared to the VisuMax without using manual cyclotorsion compensation.

Understanding Tax Policy Research in Indonesia: A Bibliometric Perspective

This study aims to conduct a bibliometric analysis of tax policy in Indonesia, focusing on identifying research trends, dominant issues, and emerging research themes in this field. Data obtained from the Scopus database using the keywords "tax policy" and "Indonesia" were analyzed using bibliometric methods to depict the structure and research trends, while thematic approaches were employed to identify dominant themes. The results indicate a steady increase in the number of publications on tax policy in Indonesia, particularly in the last five years. Specifically, in 2020 there will be 8 documents, in 2022 there will be 9 documents and in 2023 there will be 18 documents. The analysis also identifies the authors, affiliations, and countries that contribute most to this research, as well as the most common document types and subject areas. The most frequently cited articles in the context of tax policy in Indonesia are also outlined. Furthermore, visualization of concept relationships using VOSviewer software aids in identifying main themes and concept relationships in the literature. Thus, this study provides a comprehensive understanding of tax policy research in Indonesia, serving as a basis for further research and aiding policymakers in understanding key issues related to the tax system in the country.