Contribution Of Study Research Articles

Implementation of Audit Tools and Linked Archive System (ATLAS) on Audit Quality at Public Accounting Firms Registered with OJK in 2024

Research Aims: This research focuses on analyzing the implementation of the ATLAS application using measurement indicators in the EUCS model. Design/methodology/approach: This study used quantitative methods with an accidental sampling technique and a regression model approach. Research Findings: This study shows results that content, accuracy, format, ease of use, and timeless on the ATLAS application have a significant effect on audit quality. This is reinforced with some tests that were conducted that gave a positive number. Theoretical Contribution/Originality: This study's theoretical contribution is to enrich the literature about the role of the ATLAS application in helping the auditor's task to increase the quality of the audits produced, especially in KAPs registered with the OJK. This research also contains effectiveness ATLAS system in increasing auditor reporting. Research limitation and implication: This research is limited to the samples used; however, this study gives a new paradigm about the measurement ATLAS system with the EUCS method.

Examining the Relationship Between Daily Academic Hassles, Academic Buoyancy, Flourishing, and Mental and Physical Health Issues Among Taiwanese High School Students

ABSTRACTPrevious studies have explored the relationship between students' school stress and resilience but have largely overlooked the relationship between students' daily academic hassles and buoyancy. Although the close relationship between academic buoyancy and achievement has been confirmed, using the academic buoyancy perspective to explain the relationship between flourishing and mental health problems is lacking in current research. Therefore, this study analyzes the relationship between four variables: daily academic hassles, academic buoyancy, flourishing, and mental health problems among Taiwanese high school students. This study's major contributions are as follows: (1) this study found that daily academic hassles can negatively predict academic buoyancy; (2) academic buoyancy can positively predict flourishing; (3) daily academic hassles can negatively predict flourishing and positively predict physical and mental health problems; (4) academic buoyancy negatively predicted physical and mental health problems; (5) the negative correlation between flourishing and physical and mental health problems; (6) the relationship between daily academic hassles and physical and mental health problems is mediated by academic buoyancy and flourishing. Finally, the study discusses the results and proposes relevant recommendations for schools, teachers, students, and future research.

Responsive Corporate Social Responsibility: Insights Into Institutional and Agency Factors Influencing Japanese Multinational Enterprises

ABSTRACTThis manuscript investigates the factors influencing the selection of responsive corporate social responsibility (CSR) programmes in the subsidiaries of Japanese manufacturing multinational enterprises (MNEs) operating in Indonesia. With a significant and growing manufacturing sector funded by foreign direct investment—of which Japanese MNEs are a major participant—Indonesia offers a novel but significant focus given its low GDP per capita, ecological challenges and being one of the first nations in South‐East Asia to mandate CSR practices. Institutional and agency theories provide a multitheoretical lens for this responsive CSR study enabling a rich, robust framework for addressing both the external and internal drivers of CSR. This study uses a qualitative approach with a sample of four Japanese manufacturing MNEs. The data were collected by interviewing managing directors and CSR personnel of the subsidiary organisations and investigating the CSR practices in secondary data sources from websites and CSR reports from both the headquarter and subsidiary organisations. A proximity effect based on a combination of the size and location of the subsidiary operation was found to be important in determining responsive CSR activities. Personal preferences and connections with the community were also identified as key factors. Feedback loops were identified through MNE CSR reports and websites, which could influence other MNEs and community stakeholders seeking funding. This study's main contribution to the literature is the development of a conceptual framework that details both the internal and external factors influencing the decision‐making process of responsive CSR.

Predictors of Pulmonary Tuberculosis Prevention in Surabaya, Indonesia

Background: Pulmonary tuberculosis (TB) continues to pose a critical public health challenge in Indonesia, characterized by high transmission rates, particularly within household settings. Despite extensive efforts to mitigate the spread of TB, persistent barriers such as low adherence to prevention and treatment protocols hinder progress. Identifying the factors that influence adherence is essential to optimizing the efficacy of intervention strategies. This study aims to investigate the key predictors influencing adherence to preventive measures for pulmonary TB transmission in Surabaya City. Methods: A quantitative research design employing a cross-sectional approach was utilized. Data were collected from 225 pulmonary TB patients attending community health centers in Surabaya City between September and December 2023. The variables examined included demographic characteristics, perceived benefits, barriers, susceptibility, severity, and self-efficacy. Statistical analysis was conducted using multiple logistic regression, with significance set at p<0.05. Results: Significant predictors of adherence included age (p=0.048; OR=0.413), gender (p=0.009; OR=0.328), socioeconomic status (p=0.033; OR=3.052), perceived benefits (p=0.009; OR=10.086), barriers (p=0.007; OR=0.704), and self-efficacy (p=0.005; OR=29.335). Patients aged above 45 years, those reporting higher perceived benefits, and those with greater self-efficacy demonstrated higher adherence to TB prevention measures. These findings underscore the importance of self-efficacy, perceived benefits, and socioeconomic factors as significant determinants of adherence. The study's contribution lies in its exploration of adherence predictors within a high-risk population, offering valuable insights to inform targeted public health interventions. Conclusion: Age, perceived benefits, barriers, and self-efficacy emerged as critical predictors of adherence to pulmonary TB prevention strategies in Surabaya City. Interventions aimed at strengthening self-efficacy and providing targeted educational programs for younger populations are recommended to enhance TB control efforts. Additionally, integrating these findings into broader public health frameworks, such as national TB control strategies, can amplify their impact and contribute to improved health outcomes.

Application of Foliar Fertilizer and Different Substrates on the Growth of Mouriri Guianensis aubl. Seedlings for use in the Ecological Restoration of the Mato Grosso Pantanal

Objective: To evaluate the effect of different substrates and the use of foliar fertilizer on the growth of M. guianensis seedlings in nursery conditions in order to indicate the ideal one for their development. Method: Three types of substrate were used: 100% black soil (TP); 100% soil from the area where the species occurs (TO); 100% Vivatto® commercial substrate (CS). A 2x3 factorial experimental design was adopted. Finally, the parameters used to assess the growth of the seedlings were: height of the aerial part (H), diameter of the neck (DC) and number of leaves of each seedling (NF). Results and conclusion: The results obtained showed significant differences in the characteristics of height and number of leaves in Mouriri guianensis seedlings, with the 100% Vivatto® commercial substrate treatment. There were no significant differences in the use of foliar fertilizer. Implications of the research: The Mouriri guianensis species is extremely important as it provides food for fish and birds, has medicinal uses and is recommended for recovering degraded areas. It is therefore important to obtain information on its production, as well as to assess the quality of the seedlings in alternative substrates. Originality/value: describe the study's contribution to the advancement of science in the field and/or socio-environmental management practices in organizations, in line with the scope of the RGSA.

Power Management and Charging Strategies for Electric Vehicles

The paper deals with the electric vehicle (EV) charging challenges amidst electromobility's expansion, highlighting different charging techniques and power control strategies essential for global adoption. It evaluates the effects of charging through simulations in the Technical University of Košice's Electrical Engineering lab, investigating both private and public charging scenarios. The analysis aims to guide future charging infrastructure projects, drawing on practical experiences and consultations with industry experts. Insights gained from the Smart Industry Lab, including access to advanced measuring equipment and software, underscore the study's contributions to understanding EV charging dynamics and its feedback effects on the electrical grid.

Machine learning applications in healthcare clinical practice and research

Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the World Journal of Clinical Cases . The authors of this study conducted an analysis using both multiple linear regression (MLR) and ML methods to investigate the significant factors that may impact the estimated glomerular filtration rate in healthy women with and without non-alcoholic fatty liver disease (NAFLD). Their results implicated age as the most important determining factor in both groups, followed by lactic dehydrogenase, uric acid, forced expiratory volume in one second, and albumin. In addition, for the NAFLD- group, the 5th and 6th most important impact factors were thyroid-stimulating hormone and systolic blood pressure, as compared to plasma calcium and body fat for the NAFLD+ group. However, the study's distinctive contribution lies in its adoption of ML methodologies, showcasing their superiority over traditional statistical approaches (herein MLR), thereby highlighting the potential of ML to represent an invaluable advanced adjunct tool in clinical practice and research.

Smart blockchain-powered natural resource asset management and ecological governance countermeasures.

In response to the challenges of significant governance difficulties, low regulatory efficiency, and high enforcement difficulty in the ecological governance system of Qinghai Province, this study proposes an innovative solution aimed at remarkably enhancing the ecological governance system and capabilities nationwide. Through an in-depth analysis of the core advantages of blockchain technology (BT), this study customizes a set of blockchain-based ecological governance strategies for Qinghai Province, while also providing valuable references for the ecological governance of other resource-based cities. The innovation of this study lies in the application of BT to the field of ecological governance, particularly in the management of ecological environments in resource-based cities. Firstly, the necessity and feasibility of blockchain empowering resource-based urban ecological governance are analyzed, demonstrating its unique potential in addressing traditional governance challenges through decentralization, transparency, and tamper resistance. Secondly, a framework for natural resource management services based on blockchain is constructed, offering new technological support for ecological governance. An in-depth analysis of the current status of ecological environmental governance in Qinghai Province reveals that although the ecological environment quality (including water and air quality) in Qinghai Province improved in 2021 compared to 2020, there is still room for improvement in ecological enforcement and compensation systems. Therefore, this study proposes a development strategy for ecological governance based on BT. By introducing core blockchain functionalities such as smart contracts and distributed ledgers, the automation and transparency of ecological enforcement are achieved. Meanwhile, the ecological compensation mechanism is optimized to ensure fair resource distribution and sustainable ecological development. This study's contribution lies in providing new ideas and methods for ecological governance in Qinghai Province and other resource-based cities. By integrating BT, not only can the efficiency and effectiveness of ecological governance be enhanced, but it can also promote ecological civilization and social sustainability. This study recommends that relevant departments and institutions increase investment and support for the application of BT in ecological governance, and promote the research and application of related technologies. Simultaneously, it is necessary to strengthen policy guidance and legal framework construction to furnish robust guarantees for the application of BT in ecological governance. Furthermore, enhanced inter-departmental and inter-regional cooperation and communication are needed to jointly promote the improvement and progress of the ecological governance system.

Designing a Sustainable Cafe Library Interior Using Textile Waste Materials and Innovative Resin Tiles

Abstract: The increasing demand for sustainability in interior design has fueled the quest for new materials and creative solutions. This study looks into the use of textile waste in cafe library interior design, with an emphasis on comfy furniture, useful decor, and unusual partition pieces. This study's original contribution is the fabrication of ornamental tiles manufactured from textile waste and sustainable resin, a material combination that has not previously been used in interior design. The process entails conducting surveys from three perspectives: customers, cafe library proprietors, and interior designers, to assess the proposals' practical practicality and reception. This article provides a thorough framework for incorporating textile waste into the emerging narrative of eco-friendly interior design by combining creative design principles and sustainability aims.

FOMO's Impact on Consumer Loyalty: Beverage Industry Study in the Social Media Age

This study investigates the rise of the brand ‘MIXUE’ that operates in the beverage sector, especially tea and ice cream-based drinks. They are known for their fresh tea products and unique ice cream variants. It explores the transient nature of hype in the franchise sector, particularly how the feeling of Fear of Missing Out (FOMO), driven by Social Media Marketing (SMM), product quality, value for money, and service quality, impacts customer loyalty and purchase intentions. Employing a deliberate sampling method, the research gathered data from 233 participants through questionnaires and analysed using SPSS and SEM-LISREL tools. The findings reveal that FOMO, alongside SMM, product quality, perceived value, and service quality, significantly influences customer loyalty. Notably, FOMO greatly affects loyalty and buying intent, but surprising dynamics are at play, such as the negative impact of excessive SMM and purchase intentions on loyalty. The results suggest that while value for money may decrease FOMO, it enhances purchase intention and loyalty, underscoring the importance of providing substantial value. This research provides new insights into the management strategies, indicating the effectiveness of using FOMO in marketing to boost loyalty, but warns against overusing SMM. It also highlights the roles of product quality, service, and value in cultivating FOMO and loyalty. The study's theoretical contribution lies in exploring how FOMO, SMM, product quality, value, and service influence consumer behaviour, suggesting that further research is needed to understand these dynamics fully. Keywords: Fear of Missing Out (FOMO), Social Media Marketing (SMM), product quality, value for money, purchase intention.

Key Factors of Success of Higher Education In Village Community Development

The study's goal is to identify critical success elements in university-led village development programs. A quantitative technique was used, using a sample of 215 respondents. Respondents include residents and stakeholders involved in program execution. The data was gathered via a questionnaire. Factor analysis is used with the SPSS application to process data. That stakeholder commitment and communication with stakeholders are critical factors in determining the success of the village development initiative, for all stakeholders, campuses, and communities. Other aspects include local capacity and social capital. The study's contribution to the strategy of creating tourist villages, particularly the parties involved, including the government, NGOs, and universities, must pay attention to crucial criteria in order for the program to succeed. The study's new approach, in the form of an egalitarian and populist communication technique, can instill confidence and drive in village inhabitants to participate in village development.

Assessing the impact of interest rate fluctuations on sector index volatility in Bourse Istanbul: A GARCH approach

This study analyses the impact of interest rate changes and past volatility on sector index returns in Borsa Istanbul using a GARCH(1,1) model. The results show that interest rate changes negatively affect sector returns, including banking, food, holdings, tourism, services, transportation, financial, industrial, and technology. Furthermore, the GARCH(1,1) model indicates persistence in volatility in sectors like banking, holdings, transportation, financial, industrial, and technology, where past volatility strongly influences future volatility. Conversely, sectors such as food, tourism, and services exhibit less volatility persistence, suggesting more stable returns during interest rate fluctuations. The GARCH (1,1) specification outperforms the ARCH model by capturing the persistence of variance, making it a more reliable measure for sectoral volatility. The results align with previous research, mainly on the sensitivity of financial sectors to interest rate changes and market volatility. This study's unique contribution lies in its focus on BIST 100 sectors, offering valuable insights for investors to optimise asset allocation. By understanding sector-specific sensitivities to interest rate changes and volatility, investors can make informed decisions to enhance returns.

Методический подход к выявлению ключевых точек роста занятости в экономике арктических регионов.

Developing an effective employment system in the Arctic regions in the context of stagnant demographic and migration trends requires identifying types of economic activities that significantly influence employment growth. This necessity underscores the relevance of the research. The study aims to determine sectoral priorities for boosting employment by identifying key employment growth drivers. The research hypothesis posits that sectors of economic specialization with a positive regional component in structural changes (indicating favorable regional factors) should be classified as employment growth drivers. To analyze the sectoral employment structures of the Arctic regions, the shift-share analysis method was employed, enabling the evaluation of the impact of national, sectoral, and regional factors on regional employment. This was complemented by the calculation of localization coefficients to assess the competitiveness and growth potential of economic activities from an employment perspective. The study's primary contribution lies in developing an algorithm for identifying key employment growth drivers through structural change analysis and specialization analysis. The research introduces a novel classification system for economic activities based on localization coefficients and regional structural shifts. This classification distinguishes three groups: key employment growth drivers, potential employment growth drivers, and possible future employment growth drivers. The proposed methodology was tested using official data from the Federal State Statistics Service for the Arctic regions. The study assessed the employment growth potential of various economic activities and classified them according to the defined criteria. Identifying key employment growth drivers contributes to the scientific foundation of regional employment policies, a critical component of socio-economic development in the Arctic economy. This emphasizes the study's relevance and its scientific and practical significance. Future research should focus on developing models that account for interrelations between economic activities and their multiplier effects.

Analisis Yuridis tentang Perlindungan Konsumen pada E-Commerce di Indonesia: Pendekatan Yuridis-Normatif

This study focuses on the juridical analysis of consumer protection in e-commerce transactions in Indonesia, considering the sector's rapid growth, which reached a total transaction value of IDR 631 trillion in 2023. On the other hand, consumer complaints have continued to rise, involving issues such as fraud, defective products, and data privacy violations. This study aims to evaluate the effectiveness of existing regulations, such as Law No. 8 of 1999 and its supporting regulations, in protecting consumer rights. Using a normative-juridical approach, the study examines the legal substance, implementation, and gaps between national regulations and international standards like the European Union's General Data Protection Regulation (GDPR). The findings indicate that although national regulations provide basic protections, their effectiveness is considered low, particularly in the aspect of personal data protection, which only achieves 40% effectiveness, significantly lagging the GDPR at 95%. Additionally, inefficient complaint mechanisms and weak coordination among government agencies are major obstacles to resolving consumer disputes. Low digital literacy among consumers further exacerbates the ineffectiveness of the protection provided by existing regulations. The study concludes that national regulations require significant reform to be more adaptive to digital challenges. Policy recommendations include adopting GDPR principles, strengthening government oversight, and enhancing consumer education. This study's contribution is expected to strengthen a safe, transparent, and equitable e-commerce ecosystem in Indonesia while boosting consumer trust in online transactions.

Tech‐driven excellence: A quantitative analysis of cutting‐edge technology impact on professional sports training

AbstractAimIn recent years, the integration of cutting‐edge technology into professional sports training (ST) has revolutionized the way athletes prepare for competition. The study aims to quantitatively analyse the impact of cutting‐edge technology on enhancing performance, efficiency, and outcomes in professional ST programs.PurposeThe purpose of this study is to investigate how advanced technologies influence training effectiveness in professional sports, with a focus on performance enhancement, injury prevention, and overall athlete development.MethodsThis study utilized a quantitative descriptive research design to assess technology's impact on ST. A sample of 450 sports professionals, selected through purposive sampling, completed structured questionnaires. Data were analysed using SPSS to identify correlations between technology use and training outcomes.FindingsThe research findings indicate that athletes utilizing virtual reality (VR), AR, and wearable technology (WT) in their training exhibit significant improvements in performance metrics (PM) and a reduction in injury risks compared to those relying on traditional training methods.ResultThe study results demonstrate that technology‐assisted training improves cognitive skills (CS), decision‐making, and psychological aspects like motivation and focus. Additionally, advanced analytics and artificial intelligence (AI) enable more effective, personalized coaching strategies, enhancing overall training outcomes.OriginalityThis study's contribution lies in its novel approach, demonstrating virtual and augmented reality, wearable tech, and advanced analytics enhance ST by improving performance, CS, and resilience, while also reducing injuries and speeding up recovery.ConclusionThis research significantly advances the sports science domain by offering empirical evidence supporting technology integration, filling prevalent gaps in the current literature.

Exploring the Impact of Eco-Friendly Leadership and Motivation on Sustainable Workplace Culture and Environmental Effectiveness to Support the Sustainable Development Goals (SDG’s)

Objective: This study investigates the effects of Green Transformational Leadership, Green Intrinsic Motivation, and Green Extrinsic Motivation on pro-environmental workplace behaviors in Bandung City, Indonesia's creative economy. It is in line with the Sustainable Development Goals (SDGs). Theoretical Framework: This study is founded on the ideas of environmental performance, workplace pro-environmental behaviors, green transformational leadership, and green motivation (both intrinsic and extrinsic), all of which support sustainable practices in line with the SDGs. Method: Utilizing a survey approach, this research targets employees in the creative industry's fashion sector in Bandung City, Indonesia, encompassing sub-sectors like fashion, knitting, footwear, and accessories. The study aims to involve 312 willing participants and employs Confirmatory Factor Analysis and Covariance-Based Structural Equation Modeling (CB-SEM) methodologies. Results and Discussion: The report indicates that green transformational leadership, green intrinsic and extrinsic motivation, workplace pro-environmental behaviors, and environmental performance are all highly correlated. This draws attention to the study's contribution to the SDGs. Research Implications: While acknowledging limitations such as sector-specific generalizability and potential biases in data collection methods, this study highlights the need to expand respondent samples across industries to enhance the applicability of findings and promote sustainable practices in alignment with the SDGs. Originality/Value: This study enhances the existing body of knowledge by examining the relationship between green transformational leadership, green intrinsic and extrinsic motivation, workplace pro-environmental behaviors, and environmental performance within Bandung City's creative industry. It emphasizes how crucial motivation and leadership are to encouraging eco-friendly behavior and enhancing environmental performance, which supports the SDGs.

Analyzing the Effect of Factors on Individuals' Subjective Well-Being with Quantile Bayesian Structural Equation Modeling Approach.

This study investigates factors influencing individuals' levels of subjective well-being by examining fundamental variables, called life domains, such as satisfaction with health, education, marriage, housing district, work life, social life, relationships, and public services. The aim is to understand how these domains affect various quantile values of subjective well-being. To achieve this, the Life Satisfaction Survey dataset for 2020, obtained from the Turkish Statistical Institute, was utilized, and Bayesian Quantile Structural Equation Modeling and Bayesian Structural Equation Modeling methods were applied. The empirical study indicates that all life domains were found to have a positive impact on subjective well-being, except for housing-district satisfaction and education satisfaction. In particular, for individuals with low subjective well-being, satisfaction with work life, relationships, and public services has a stronger effect on subjective well-being compared to those in higher quantiles. Conversely, marriage satisfaction has a stronger effect on subjective well-being among individuals in the higher quantiles. This study's unique contribution is that examining subjective well-being according to quantile values provides detailed information on how the factors influencing individuals' subjective well-being vary across different levels.

Enhancing organizational citizenship behavior using transformational leadership: Role of quality of work life

In today's dynamic landscape, organizations increasingly view organizational citizenship behavior (OCB) as a pivotal element in achieving their corporate objectives seamlessly. Effective leadership plays a critical role in shaping an organization's capacity as a learning entity, fostering enhanced adaptability to change and elevating OCB levels. This study aims to explore the direct and indirect impacts of transformational leadership (TL) on OCB, with a specific focus on the mediating role of quality of work life (QWL). The research involved a sample of 200 respondents from diverse industries across Central Java, Indonesia. Data collection was conducted through questionnaires, and the results were analyzed using Structural Equation Modelling (SEM). The findings reveal a significant and positive direct relationship between TL, QWL, and OCB. Additionally, the study's unique contribution lies in demonstrating that QWL serves as a partial mediator in the relationship between TL and OCB. The analysis underscores the importance of adopting transformational leadership approaches and introducing initiatives that enhance work-life balance to effectively boost OCB within organizations.

Decentralized Payment Framework for Low-Connectivity Areas Using Ethereum Blockchains

This paper presents a pioneering analytical framework for a secure payment system leveraging blockchain technology tailored to regions with suboptimal network connectivity. Contemporary payment mechanisms utilizing Ethereum are predominantly optimized for areas with robust network infrastructure, neglecting regions with less connectivity. To address this gap, the proposed model integrates novel security attributes and employs an analytical method to design a decentralized payment system. The framework facilitates communication between low-connectivity zones and Internet service providers through auxiliary nodes, creating a local blockchain network for residents, merchants, and auditors. A mathematical model quantifies operational costs, transaction processing, and synchronization of auxiliary nodes, ensuring a resilient and secure payment architecture. A unique aspect of the proposed approach is its robustness against auditor outages and network variability, coupled with an empirical analysis of incentive structures for auditors' block validation activities. Moreover, it delineates the minimum requirements for secure transaction completion. Empirical findings showed a significant improvement in system efficiency, including a 79% reduction in block time, a 28% increase in transaction throughput, a 30% decrease in energy consumption, a 68% shorter confirmation time, a 63% reduction in execution time, a 46% increase in block production rate, and 82% reduced network variability. This study's significant contribution lies in introducing a sustainable, cost-effective, and secure payment system for regions with inadequate network services.

Beyond the Resource Curse: Leveraging Artificial Intelligence to Enhance Green Development Welfare

This study examines the relationship between the resource curse (RC) and green development welfare (GDW) through the influence of artificial intelligence (AI) on emerging technologies. We explore the critical question: How does resource abundance hinder green development, and how can AI mitigate this effect? Our examination of 15 years of panel data from 282 Chinese cities demonstrates a significant negative correlation: a 1% increase in RC correlates with a 0.422% reduction in GDW. AI appears as a crucial factor capable of counteracting the detrimental impact of RC, indicating that technological innovation is essential for promoting sustainable development. This study's distinctive contribution is the incorporation of AI into the GDW framework, providing novel insights into the varying impacts of RC across different levels of GDW. By differentiating resource abundance (RA) from resource dependence (RG), we illustrate that both RA and RG substantially impede GDW, with the negative effects amplifying at higher GDW levels. We discover that AI can overcome the limitations imposed by RC by reducing terms-of-trade fluctuations, mitigating Dutch disease effects, and diminishing crowding-out effects. Our research underscores the importance of AI in alleviating the adverse impacts of RC on GDW and recommends augmenting investment in AI research and application, especially in resource-rich cities, to advance sustainable development.