Advances In Digital Technology Research Articles

The Influence of Abutment Selection in the Tridimensional Implant Position: Considerations for Predictable Implant Restorative Long-Term Outcomes.

To explore the influence of abutment selection on 3D implant positioning, emphasizing the synergy between surgical and prosthetic considerations for achieving predictable long-term outcomes in implant-supported restorations. Implant dentistry has transitioned from a purely surgical approach to a prosthetically driven methodology that prioritizes implant-supported restoration (ISR). This shift has been bolstered by advancements in digital technologies and abutment designs, which allow for more precise implant positioning and better management of biological, mechanical, and esthetic outcomes. The selection of appropriate abutments plays a pivotal role in optimizing the 3D implant position, influencing peri-implant tissue stability and the overall success of the restoration. This manuscript explores into the biorestorative concept, highlighting how virtual planning can preemptively assess abutment configurations and their interactions with surrounding tissues, guiding implant placement to achieve desired results. The integration of digital planning and strategic abutment selection prior to implant placement ensures optimal 3D implant positioning respecting fundamental biological and prosthetic parameters. This approach minimizes complications, improves long-term tissue stability, and enhances patient outcomes by aligning surgical procedures with the specific prosthetic needs.

Efisiensi Transaksi Pembayaran Digital Berbasis QRIS pada Warmindo di Sekitar UMS

The goal of this research is to look into the benefits, availability, and hazards of using QRIS effectively in Warmindo, near Muhammadiyah University in Surakarta. The research population consists of all QRIS subscribers in Warmindo near the UMS, as well as a random selection of 50 respondents. Data was collected using a random sample strategy and analyzed with multiple linear regression. The results suggest that the benefits and convenience of use of the QRIS improve performance but have no meaningful influence on risk perception. These items will educate merchants and decision-makers on the value of benefits and access to the advancement of digital payment technology.

Architecture 5.0: Opportunities and Challenges in the Nigerian Construction Industry

The rapid advancement of artificial intelligence (AI), robotics, and other digital technologies (DTs) has often lacked a focus on human-centrism. Industry 5.0 emerged as a response to Industry 4.0’s digital revolution, emphasizing functional human-machine collaboration, sustainability, and resilience. However, the architecture, engineering, construction, and operations (AECO) sector, particularly in Nigeria, has been slow to seize the opportunities presented by Industry 5.0. This study investigates the opportunities and challenges associated with deploying Industry 5.0, specifically focusing on architecture within the Nigerian construction industry (NCI). A rapid literature review was conducted, analyzing relevant and indexed articles from reputable databases. The findings indicate that integrating AI into architectural design workflows can catalyze the adoption of other DTs, such as the Internet of Things (IoT), big data analytics, digital twins, cloud computing, blockchain, and augmented/virtual reality. These technologies can potentially transform planning, operations, end-of-life management, and visualizations during the design phase of architectural services. The study emphasizes the importance of architectural professionals acquiring relevant technical skills through education and awareness initiatives. It also stresses the need for policies and programmes implemented by the government, regulatory agencies, and industry firms to accelerate the adoption of DTs. Effective strategies for leveraging AI’s potential are proposed to enhance design quality, speed, performance, and collaboration with allied design professionals. The findings offer valuable insights into adopting Architecture 5.0 within the NCI, particularly during the design stage.

Analysis of Digital Technology and Effects on Human Resource Management Machine learning and its Diversity Equality Inclusion

The digital technology significantly affects company management practices, necessitating adaptable changes. This study looks at how company HRM should change to keep up with the rapid advancement of digital technologies. The study's findings demonstrate how technology has impacted the labor market, the setting for businesses, and the number of jobs available. Human resource management is the foundation for digital empowerment and management transformation. Determine the particular biases in HR procedures that you want to target, such as age, gender, or ethnicity bias. Specify the goals you want to achieve, such as raising employee satisfaction, decreasing recruiting prejudice, and boosting diversity and inclusion metrics .Perform a comprehensive analysis of the body of research on bias in HR procedures, diversity and inclusion, and the use of machine learning to reduce bias.

Conditional neural field latent diffusion model for generating spatiotemporal turbulence

Eddy-resolving turbulence simulations are essential for understanding and controlling complex unsteady fluid dynamics, with significant implications for engineering and scientific applications. Traditional numerical methods, such as direct numerical simulations (DNS) and large eddy simulations (LES), provide high accuracy but face severe computational limitations, restricting their use in high-Reynolds number or real-time scenarios. Recent advances in deep learning-based surrogate models offer a promising alternative by providing efficient, data-driven approximations. However, these models often rely on deterministic frameworks, which struggle to capture the chaotic and stochastic nature of turbulence, especially under varying physical conditions and complex, irregular geometries. Here, we introduce the Conditional Neural Field Latent Diffusion (CoNFiLD) model, a generative learning framework for efficient high-fidelity stochastic generation of spatiotemporal turbulent flows in complex, three-dimensional domains. CoNFiLD synergistically integrates conditional neural field encoding with latent diffusion processes, enabling memory-efficient and robust generation of turbulence under diverse conditions. Leveraging Bayesian conditional sampling, CoNFiLD flexibly adapts to various turbulence generation scenarios without retraining. This capability supports applications such as zero-shot full-field flow reconstruction from sparse sensor data, super-resolution generation, and spatiotemporal data restoration. Extensive numerical experiments demonstrate CoNFiLD’s capability to accurately generate inhomogeneous, anisotropic turbulent flows within complex domains. These findings underscore CoNFiLD’s potential as a versatile, computationally efficient tool for real-time unsteady turbulence simulation, paving the way for advancements in digital twin technology for fluid dynamics. By enabling rapid, adaptive high-fidelity simulations, CoNFiLD can bridge the gap between physical and virtual systems, allowing real-time monitoring, predictive analysis, and optimization of complex fluid processes.

Challenges and Opportunities in Cross-Border E-Commerce Logistics: A Systematic Literature Review

Cross-border e-commerce has experienced exponential growth, driven by globalization and advancements in digital technologies. However, logistics remains a critical determinant of success, presenting both significant challenges and promising opportunities. This systematic literature review synthesizes existing research on the logistical intricacies of cross-border e-commerce, identifying key barriers and potential avenues for improvement. Utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, relevant studies were meticulously selected from Scopus-indexed journals published between 2015 and 2024. The findings reveal challenges such as regulatory compliance, last-mile delivery complexities, high operational costs, technology integration issues, and risk management difficulties. Conversely, opportunities lie in technological innovations like blockchain and artificial intelligence, strategic partnerships, sustainable practices, enhanced customer experience strategies, and policy advocacy. This review provides valuable insights for academics and practitioners seeking to enhance the efficiency and effectiveness of cross-border e-commerce logistics. It highlights areas requiring further research and offers practical recommendations to address existing challenges, thereby facilitating smoother international transactions and fostering global trade growth.

Drivers of Advanced Digital Technologies

Advancements in digital technologies, especially computer and information systems, force firms to adopt them in their production processes. Artificial intelligence, cloud computing, big data analytics, robotics, smart devices, and blockchain are the leading advanced technologies. This study explores the drivers of firms’ adoption of these technologies by estimating a multivariate probit model utilizing a Eurobarometer dataset. A statistically significant and positive correlation between the error terms of all models indicates that investigating the adoption of all advanced digital technologies together is more appropriate than independent analyses. Drivers of advanced digital technologies appear similar with decisive factors in using new technologies, and implementation of any type of innovation significantly increases the probability of adoption. The other determinants are the firm size, interaction with international markets, and the network structure of the market in which firms operate. Furthermore, location positively impacts the adoption of cloud computing and big data analytics, while it exerts no significant influence on the adoption of other types of advanced digital technologies.

Willingness of Hearing Help–Seekers With Low Incomes to Pay for Hearing Aids, Services, and Over-the-Counter Devices

Purpose: Our aims were to assess associations between patient-related variables and willingness to pay (WTP) for advanced digital technology (ADT) hearing aids, services, and over-the-counter (OTC) devices. Method: A cross-sectional postal survey was sent to 106 individuals presenting to a low-income community hearing aid bank eliciting patient-related variables (age, monthly income, gender, race, educational level, employment status, number in household, self-reported hearing difficulty without amplification [quiet and noise], hours/day hearing aid use, and satisfaction with services) and their WTP for ADT hearing aids, services, and OTC devices. Logistic regression was used to assess associations between WTP and patient-related variables. Results: Forty-eight surveys were returned for a response rate of 51.1% (48/[106–12 return to sender]). Only monthly income ( Mdn = $1,283) was associated with WTP for one ADT hearing aid ( Mdn WTP = $250). Age was the only variable significantly associated with WTP for services ( Mdn WTP = $100). None of the variables were associated with WTP for OTC devices, and 61.7% (29 of 47) of participants would not be willing to pay any amount for one. Conclusions: Participants' WTP for one ADT hearing aid and services were low and was likely due to a lack of financial resources. Most would not be willing to pay anything for an OTC device.

LEADERSHIP AND GOVERNANCE IN MSMES: IMPROVING FINANCIAL PERFORMANCE THROUGH DIGITALIZATION

Rapid advances in digital technology have changed the business landscape, yet many Micro, Small, and Medium Enterprises (MSMEs) in Indragiri Hilir, Indonesia, struggle to adapt and leverage these innovations for financial growth. This study addresses the research gap regarding the interaction between leadership, governance, and digitalization in improving the financial performance of MSMEs. The purpose of this study is to examine how effective leadership and governance practices can facilitate the adoption of digital technologies and subsequently improve the financial outcomes of MSMEs in Indragiri Hilir. Using a mixed-method approach, this study incorporates a quantitative survey of 100 MSME owners. Findings show that visionary leadership and strong governance structures contribute significantly to the success of digital transformation initiatives. In addition, MSMEs that effectively implement digital solutions show marked improvements in terms of financial efficiency, market reach and overall profitability. The study concludes by proposing a framework for MSME leaders to navigate the digitalization process, emphasizing the critical role of adaptive governance in sustaining financial performance in the digital age.

Large Scale Contractor Management Dashboard

Advancements in digital technology have considerably boosted productivity and economic growth over time. Numerous businesses and organizations use a variety of software to organize their work efficiently. This system's main objective is to convert from a manual to an automated method for more effective management. An Employee Management System is one of the systems that contribute significantly to the management of a business. However, this article highlights the deployment of an automated system to replace the paper-based approach that general contractor companies have been using for decades. Laravel is one of the most popular framework technologies for system development among developers. Laravel enables developers to concentrate on the design architecture and functionality of an online application, making it easier for other developers to manage their tasks. Furthermore, role-based access control (RBAC) in Contractor Management System (CMS) has increased the system's security by granting users access depending on their jobs. On-site users will be able to access the system with the tip of their fingers. This development aims to simplify the organization's staff management and will elaborate further on the technologies employed in the proposed system.

Enhancing Data Security through Digital Image Steganography: An Implementation of the Two Least Significant Bits (2LSB) Method

The rapid advancement of digital communication technologies has heightened the demand for robust data security methods, particularly for safeguarding sensitive information against cyber threats. Steganography, the art of concealing data within digital media, offers an effective means of securing communication by masking the very existence of hidden messages. This study evaluates the Two Least Significant Bits (2LSB) method as an enhancement to the conventional Least Significant Bit (LSB) technique, focusing on improving storage capacity and resistance to detection. The research employs a quantitative methodology, conducting experiments to analyze the impact of data embedding on image quality using metrics such as Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR). Data embedding was tested on images of varying sizes and resolutions, with results compared before and after embedding. The study also evaluates the system’s tolerance to compression and robustness against steganalysis attacks, such as histogram analysis and noise detection. The results demonstrate that the 2LSB method significantly enhances storage capacity while maintaining high image quality. For instance, PSNR values remained above 40 dB across all tested images, indicating minimal visual distortion. The method also showed resilience to lossless compression formats such as PNG, with minimal impact on data integrity. However, lossy compression formats like JPEG posed challenges in maintaining the embedded data. The MSE values before and after embedding were minor, ensuring that the hidden data remained undetectable under standard analysis. This research contributes to developing more efficient and secure steganography techniques, providing practical applications in protecting sensitive data during transmission. The findings underline the 2LSB method's potential as a viable solution for digital security, balancing enhanced storage capacity with robust resistance to detection. Future work should further explore integrating advanced encryption with 2LSB to strengthen data protection in diverse digital environments

Transforming Workplace Efficiency: Using Agile Development Methodologies for Developing Meeting Management System

This In today's digital era, individuals are seamlessly connected across various digital platforms, from social media giants like Facebook, Twitter, and Instagram to knowledge-sharing hubs like StackOverflow and Quora. The relentless advancement of digital technologies has ushered in a wave of unprecedented accessibility and connectivity. While this transformation has brought tremendous benefits to society, organizations face new and intricate challenges in adapting to evolving task preferences, performance expectations, and operational requirements. In response to this dynamic landscape, this paper proposes an innovative paradigm shift aimed at enhancing quality, efficiency, and time-to-completion for critical tasks. Central to this transformation is the concept of digitizing manual processes, which offers a transformative approach capable of significantly reducing task durations while ensuring heightened efficiency and minimizing associated risks. One illustrative example involves the automation of employee attendance tracking within a company, seamlessly integrating data into a centralized database. This digitized process not only expedites task completion but also facilitates the generation of detailed reports presented graphically, allowing human resource managers to make informed decisions swiftly. This is just one instance where digitalization outperforms traditional manual methods, leading us to conclude that digitalization is a pivotal strategy for boosting organizational productivity. Moreover, traditional practices in managing meetings, characterized by manual participant notifications, have presented substantial inefficiencies. Secretaries often bear the brunt of coordinating meeting schedules, making phone calls, and sending emails to ensure all involved parties possess accurate information. This paper embarks on a comprehensive investigation to ameliorate this situation by injecting a digitalization approach into the existing meeting management system.

Enhancing production system resilience with digital twin-driven management

ABSTRACT In the last decade, significant advancements in digital technologies have revolutionized production systems, leading to the development of Cyber-Physical Systems (CPS) and Digital Twins (DT). This paper proposes a design of a production management system that leverages a Digital Twin associated with the shop floor. The objective is to enhance the resilience of production systems by providing real-time monitoring and enabling cloud-based outsourcing during production line failures. The methodology involves creating a Digital Twin model of the CPS, which is used to monitor the production process and visualize key performance indicators through a business intelligence tool. The contribution of this study lies in addressing the growing need for resilient production systems capable of withstanding disruptions and unexpected events. The DT provides accurate information useful for making informed decisions during disruptions. This research contributes to improving management practices by integrating production and enterprise data, facilitating decision-making processes aligned with company objectives, and enhancing the overall resilience of production systems. These findings illustrate the potential of cloud production services to maintain service levels. Among the academic contributions of this paper, is the use of System Dynamics as a suitable approach to modeling the behavior of a digital twin.

Integrating Quality at Source into Supplier Management: A Pathway to Cost Efficiency and Regulatory Compliance

In an increasingly competitive global market, organizations are seeking to enhance both cost efficiency and regulatory compliance in their supply chains. This paper explores the integration of Quality at Source (Q@S) into supplier management as a strategic pathway to achieve these goals. Quality at Source is a proactive approach that emphasizes defect prevention and quality assurance at the earliest stages of production, specifically at the supplier level. By embedding Q@S principles within supplier management, companies can not only reduce the financial burden associated with defect detection and correction but also mitigate risks associated with non-compliance with industry regulations. The study identifies key benefits of Q@S, including cost savings through reduced waste, improved production efficiency, and minimized need for extensive downstream quality control. Additionally, it demonstrates how Q@S facilitates regulatory compliance by ensuring that quality standards are met consistently, thus simplifying audits and reducing the likelihood of penalties. The paper details a framework for Q@S implementation, covering essential steps such as supplier selection, establishing quality metrics, conducting regular audits, and fostering a culture of continuous improvement among suppliers. Through a combination of case studies and data-driven insights, the paper illustrates the tangible benefits of Q@S integration. Real-world examples showcase successful applications of Q@S across different industries, highlighting significant cost reductions and enhanced compliance. Furthermore, this research discusses the challenges companies may face, such as initial investment costs and resistance to change from suppliers, and provides strategies for overcoming these barriers. The paper concludes by examining the role of advanced digital technologies—such as artificial intelligence (AI), Internet of Things (IoT), and blockchain—in furthering Q@S initiatives. These technologies enable real-time monitoring and data transparency, enhancing the capacity of organizations to track supplier performance and maintain quality standards. The findings underscore the importance of Quality at Source as an essential component of modern supplier management, providing a roadmap for organizations aiming to achieve cost-effective, compliant, and sustainable supply chains.

Cluster profiles of high school students in cyber bullying, cyber victimization, aggression, and coping

Cyberbullying has become a significant concern, particularly among teenagers, due to the advancement of digital technologies. This study aims to identify the cluster profiles as well as the role of gender, time spent on networking and age on these clusters. This study employed a self-administered survey to investigate cyberbullying among 812 adolescents attending public and private high schools in Selangor, Malaysia. The quantitative data was obtained using validated measures of cyberbullying and cybervictimization scale, coping strategies, and aggression. Data analysis used in this research were two-stage cluster analysis and chi-square statistics. The findings revealed that these teenagers can be categorized into three distinct cluster profiles namely highly cybervictimization, aggressive and depressive; low cyber victimization, aggression, depression and coping; and lower scores in cyber victimization, aggression, depression and higher scores in coping. Unlike previous studies, cluster profiles revealed no substantial correlation with gender. Instead, this study found that cluster patterns were linked to demographic factors, such as age groups. This study also highlights the correlation between cluster profiles and the utilization of social media in the dynamics of cyberbullying. Teens in Cluster 1, who devoted more than four hours per day to social media, experienced the greatest influence of cyberbullying, highlighting the significance of their online environment. This study sheds light on the issue of cyberbullying among Malaysian adolescents and highlights its intricate nature. To foster safer online environments for teenagers in the digital age, educational institutions, parents, and governments can develop specific efforts that identify cluster profiles and demographic factors.

The Evaluation and Learning of Web Crawler Technology in the Field of Digital Media Art

With the rapid advancement of digital technology, digital media art has progressively emerged as a novel darling in the contemporary art market, primarily due to its distinctive interactivity, generativity, and digital distribution methods.The appraisal of market value is crucial in the transaction of digital art, and web crawling technology presents an innovative approach for data acquisition and processing. This study is dedicated to exploring the convergence of digital media art and web crawling technology, conducting an in-depth investigation on the application of web crawlers in the determination of market value for digital art.In the context of developing a theoretical framework, a novel value assessment model is proposed by integrating the features of the digital art market with established value assessment theories. On this basis, a value assessment tool targeted at the digital media art market was developed.This tool integrates multiple factors such as historical transaction data of artworks, artist backgrounds, work style, and media exposure, and employs machine learning algorithms to conduct market value assessment of artworks.Case analyses have also confirmed the accuracy of the assessment results and the practicality of the assessment model.Results show that this assessment tool not only provides powerful market guidance for art investors and collectors but also offers a pricing decision basis for digital art trading platforms.This research not only provides new perspectives and practical tools for the assessment of digital art but also makes a valuable exploration into the application of web crawling technology in the acquisition of art data information.It is of positive significance for the value discovery of digital media art and the long-term healthy development of the art market.

SPOTIFY APPLICATION AS A MEDIUM TO IMPROVE THE STUDENTS’ LISTENING ABILITY

The advent of digital technology has revolutionized various sectors, including education, by providing automated and sophisticated systems to enhance learning experiences. This study explores the effectiveness of the Spotify application as a medium to improve students' listening abilities in English. Recognizing the significance of listening as one of the four essential language skills, this research addresses the challenge students face in mastering listening due to limited vocabulary and noisy classroom environments. Utilizing a pre-experimental design with a quantitative approach, this study involved pre-test and post-test assessments of two groups: a control class and an experimental class using the Spotify application. The research instrument consisted of written tests, including fill-in and multiple-choice formats, designed to measure students' listening performance. Data collection focused on comparing pre-test and post-test scores to evaluate improvements. The findings revealed a significant enhancement in students' listening abilities after using the Spotify application, with mean scores increasing from 42.89 to 82.42, reflecting a 39.52% improvement. The t-test value further supported these results (5.72 > 2.026). The study concludes that Spotify, with its diverse features such as music discovery, personalized playlists, lyrics integration, and offline access, serves as an effective tool to engage students and improve their listening skills. This method not only addresses the difficulties students face in listening but also motivates them through an enjoyable and interactive learning process.

Revitalizing Nusantara Traditions through Interactive Cultural Experiences with Augmented Reality Technology

Advances in digital technology are opening up new opportunities for cultural preservation and promotion. Augmented Reality (AR), with its ability to blend the real and digital worlds, has the potential to bridge the gap between younger generations and the rich cultural heritage of the Nusantara. This research aims to develop an AR application called "Imersi Budaya Nusantara" Immersion into Nusantara Culture to revitalize Nusantara traditions through interactive and educational cultural experiences. The application is expected to increase interest and understanding of Nusantara culture among younger generations while serving as an example of utilizing technology for cultural preservation. The research utilizes the Model Development Life Cycle (MDLC), which includes the stages of concept, design, material collection, development, testing, and distribution. The application's content includes visualizations of traditional dances, houses, food, clothing, and music from various regions in Indonesia. The "Imersi Budaya Nusantara" application has been successfully implemented and tested. The results of functionality and usability testing indicate that the application performs well and is user-friendly. User experience evaluations, based on questionnaires, demonstrate high levels of engagement, enjoyment, and educational value. This research proves that AR technology is effective in increasing interest and understanding of Nusantara culture among the younger generation. The "Imersi Budaya Nusantara" application serves as a model for utilizing technology for cultural preservation, opening up opportunities for further development and related research.

Do self-efficacy belief and emotional adjustment matter for social support and anxiety in online English learning in the digital era?

The advent of digital technologies has revolutionized the education landscape, ushering in a new era of online learning. This transformative shift has opened unprecedented opportunities for learners in a foreign language context, redefining the boundaries of traditional classroom settings. Emotional adjustment, social support, self-efficacy belief, and anxiety are four important constructs to traditional foreign language classroom settings. The present study aimed at exploring the mediating roles of self-efficacy belief and emotional adjustment on the relationship between social support and anxiety related to online English learning. A total of 585 university students in mainland China participated in this study. They completed surveys on self-efficacy, emotional adjustment, social support, and foreign language anxiety. Structural Equation Modelling (SEM) was adopted to explore the relationships among the four variables. Results lent support to the mediating role of self-efficacy belief on the effects of social support on foreign language learning anxiety. Findings shed light on the importance of self-efficacy belief on reducing students’ English learning anxiety. In addition, social support predicted emotional adjustment and self-efficacy belief. Relevant implications based on the findings were discussed.

Strengthening Digital Literacy in Online Time Management among Senior High School Students

Rapid advances in digital technology have made digital literacy an important skill, especially among senior high school students who spend much time online. This community service project aims to improve digital literacy and time management skills among senior high school students, with a focus on effective and productive online activities. This project was carried out in collaboration with Gontangwetan Pasuruan Public High School 1 which involved students as the main beneficiaries. A participatory approach be used, including pre-assesment and post-assessment, interactive workshops, and ongoing mentoring. The findings showed a significant improvement in students' understanding of digital literacy, with an average increase of 25% in digital literacy and online time management skills. This increase results in better academic performance and a more balanced lifestyle. The results underscore the importance of equipping students with digital literacy skills to navigate the digital age effectively. This community service project demonstrates the potential of the initiative to foster responsible digital behavior and improve overall student productivity.