Application Of Technology Research Articles

Kidney medicine meets computer vision: a bibliometric analysis.

Rapid advances in computer vision (CV) have the potential to facilitate the examination, diagnosis, and treatment of diseases of the kidney. The bibliometric study aims to explore the research landscape and evolving research focus of the application of CV in kidney medicine research. The Web of Science Core Collection was utilized to identify publications related to the research or applications of CV technology in the field of kidney medicine from January 1, 1900, to December 31, 2022. We analyzed emerging research trends, highly influential publications and journals, prolific researchers, countries/regions, research institutions, co-authorship networks, and co-occurrence networks. Bibliographic information was analyzed and visualized using Python, Matplotlib, Seaborn, HistCite, and Vosviewer. There was an increasing trend in the number of publications on CV-based kidney medicine research. These publications mainly focused on medical image processing, surgical procedures, medical image analysis/diagnosis, as well as the application and innovation of CV technology in medical imaging. The United States is currently the leading country in terms of the quantities of published articles and international collaborations, followed by China. Deep learning-based segmentation and machine learning-based texture analysis are the most commonly used techniques in this field. Regarding research hotspot trends, CV algorithms are shifting toward artificial intelligence, and research objects are expanding to encompass a wider range of kidney-related objects, with data dimensions used in research transitioning from 2D to 3D while simultaneously incorporating more diverse data modalities. The present study provides a scientometric overview of the current progress in the research and application of CV technology in kidney medicine research. Through the use of bibliometric analysis and network visualization, we elucidate emerging trends, key sources, leading institutions, and popular topics. Our findings and analysis are expected to provide valuable insights for future research on the use of CV in kidney medicine research.

Effectiveness of Multimedia Package on Student-teachers’ Achievement in Information and Communication Technology (ICT) in Education Course

In the present context of artificial intelligence, student-teachers need to understand technological applications in education and incorporate them into their classroom instruction. Technological applications help in connecting and collaborating beyond geographical boundaries. The student-teachers should be equipped with the knowledge and understanding of the benefits of incorporating technology into their teaching practices and it should be the focus of teacher-training to equip them with the necessary skills to utilize these applications in their practice. The ICT in Education course was introduced in one of the University's pre-service teacher education programs in India to facilitate student-teachers to gain the ICT skills needed to integrate it into teaching. This study demonstrates the effectiveness of the multimedia package on student-teachers at the pre-service level based on empirical evidence. Some of the findings suggest that the use of the multimedia package not only helps student-teachers identify and use resources effectively but also delivers the content meaningfully. The Multimedia packages could serve as a tool for educators to deliver subject content efficiently.

Handover management in vehicle communication: applications, techniques, issues, and challenges: a review

Vehicle-to-everything (V2X) communication is an emerging technology that facilitates communication among vehicles and numerous environmental entities. However, it encounters certain challenges throughout the handover process. This study analyses the challenges and complexity of managing handover, specifically in maintaining uninterrupted connection and meeting the service criteria outlined in the 3GPP 5G new radio (NR) standard. Various applications of V2X technology that require handover management are explored, such as vehicle safety and traffic management, enhanced driver assistance, and autonomous driving. Furthermore, this paper illuminates the most recent developments in V2X communication, highlighting the significance of efficient handover management, resolving technical issues, based on the full potential of the use of V2X apps that contribute to the establishment of a transportation ecosystem that is characterized by enhanced safety, increased intelligence, and improved connectivity. This paper can be used as a starting point for thinking about how to improve C-V2X communication.

Current Understanding, Motivations, and Barriers Towards Implementing Sustainable Initiatives in the Hospitality Industry in the Age of Automation and Artificial Intelligence

Background:: Sustainability concerns are rapidly being acknowledged as a key concern for hospitality sectors worldwide. Sustainable initiatives immediately contribute to improved organizational performance in terms of utility consumption, waste management, and regulatory compliance, resulting in cost-effectiveness and competitive advantage through distinctiveness. Objective:: The purpose of the study is to analyze and summarize the motivations, indicators, and barriers towards applications of sustainable initiatives and modern technologies in the hospitality industry using the existing literature to develop a current understanding of the subject and know the way the current industry is thinking about it. Method:: This study is a combination of systematic and bibliometric review, where the systematic review was based on selected articles from reputed journal databases, and the bibliometric review was conducted using VOS viewer and web of science database for a period of 20 years (2002- 2022) Seven research questions were framed and answered for the systematic review. Result:: By describing the motivations, barriers, and impacts of implementing sustainability initiatives and cutting-edge technologies like AI and machine learning in the hospitality sector, the study helps practitioners and academics understand its present state for robust research. The current condition of such implantations in the hospitality sector is also discussed. Conclusion:: This study adds value by shedding light on the perspective of sustainability in the hospitality industry by considering the recommendations and practical advice for hotel management suggested in the existing literature about the application of current sustainability innovations and effective sustainability initiatives in hotel management.

Supercritical carbon dioxide chelation extraction of heavy metal ions from drilling fluid waste: Experiment and simulation

This study evaluates the application of supercritical carbon dioxide chelation extraction technology for treating heavy metal ions (Zn2+ and Cr3+) in drilling fluid waste. Through a combination of experimental and molecular dynamics simulation methods, the influence of extraction parameters (temperature, pressure, duration, and chelating agents) on the extraction efficiency are investigated. Findings show that increased duration and pressure significantly improve extraction efficiency, while temperature has a complex effect, initially increasing efficiency but plateauing and slightly decreasing at higher temperatures. The optimum extraction condition with pressure of 220 bar, temperature 348.15 K and an extraction duration of 70 min using ethylene diamine tetraacetic acid (EDTA) as the chelating agent has been determined. Importantly, molecular simulation analysis revealed that citric acid outperforms EDTA in terms of Zn2+ and Cr3+ aggregation by forming larger aggregates with greater numbers of molecules while reducing overall aggregate count. Furthermore, optimization of extraction pressure in the EDTA system shows potential benefits. These results suggest that supercritical carbon dioxide chelation extraction technology has strong potential for environmentally friendly and reliable waste management in the drilling industry. This study represents a significant step forward in developing sustainable solutions for heavy metal removal from drilling fluid waste.

Technology-Based Child Abuse and Neglect Prevention Programs: A Systematic Review

Child abuse and neglect is a widespread social problem. The prevalence of this problem threatens the present and future of children. Although various prevention programs have been proposed in the literature as a solution to the problem of child abuse and neglect, recently, technological applications have been increasingly used in prevention and intervention studies for abuse and neglect. This study aims to review the current literature on technologically assisted programs for preventing child abuse and neglect. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was used to identify eligible studies. 22 evidence-based studies with pretest-posttest control were included in the review. The reviewed programs were structured to educate parents, children, and various professionals on appropriate parenting skills and child abuse and neglect. In the studies reviewed, web/internet-based applications were mostly used and effectiveness evaluation studies were mainly conducted on parents. With the exception of one study, the programs were found to be effective following interventions for abuse and neglect, and cognitive and behavioral improvements were noted in parents, children, and other professionals. As a result, it can be said that technology-based prevention programs are accepted practices for child abuse and neglect. To date, however, there is little data to support the use of such studies in preventive practices and strategies. More studies are needed to test the effectiveness of technological applications in preventing abuse among children and adolescents.

Edge Computing: Opportunities and Challenges

Edge computing has emerged as an innovative paradigm, promising to reshape the landscape of computational processing by bringing data closer to the source of generation, namely Internet of Things (IoT) devices. As the proliferation of IoT devices surges, so does the need for efficient, low-latency processing. Edge computing addresses these demands by decentralizing computational tasks, optimizing bandwidth, and ensuring rapid data processing. This paper delves into the nuances of edge computing, highlighting its distinct advantages, particularly in latency reduction and bandwidth conservation. However, with these opportunities come challenges, notably in the domain of security. Through a systematic review and simulation-based experimentation, this research affirms the transformative potential of edge computing, while also underscoring the need for robust security frameworks. The study concludes with a forward-looking perspective, emphasizing areas of future research including security enhancements, integration with 5G technology, energy-efficient architectures, and cross-domain applications.

Digital Technology Applications in Construction Education: A Systematic Review of Methodological Pluralism

ABSTRACT The purpose of this study is to provide a systematic analysis of the nexus of methodological pluralism and digital technology pedagogies in construction education literature. Recent technological advancements transform the built-environment-related fields rapidly, and this transformation has the potential to improve productivity and efficiency in the industry. Alongside this transformation, the future workforce should be equipped with skills to accelerate the adoption of evolving technologies. Considering these, this study systematically reviewed over 100 papers in the construction education literature with a qualitative analysis. The majority of the reviewed studies use quasi-experimental design, and several technological advancements are utilized in teaching core construction concepts, mainly building information modeling (BIM) and extended reality (XR). With the applied nature of the construction domain, various studies utilized technology to introduce virtual site visits, quantity take-off and estimating, visualization, scheduling, surveying, and communication. Together with these, this study contributes to the body of knowledge by revealing methodological approaches commonly used by researchers to help spur the growth of research efforts in digital technology utilization in construction, with its significant potential to be one of the reference guides in the construction education literature.

Use and application of wearable technology in football further education settings in the UK

ABSTRACT The increase in the number of football-specific industry-related qualifications offered by the post-16 education sector has grown exponentially in recent years. Due to technological advancements and access to enhanced equipment, these courses tend to include wearable technology in their curricular to support student cohorts understanding of specific internal and external load patterns. Despite these technological and education developments, there is a dearth of pedagogic research on the application of various wearable technology in post-16 football education. Using a mixed-method research design, we established the type of technology, and how it is being employed across a range of post-16 educational settings. Survey responses suggested that Global Positioning System (GPS) vests and heart rate chest strap were the most prominent wearable technology. Qualitative findings suggested that there are pedagogic challenges and barriers to using this kind of technology, a lack of understanding, and poor feedback and communication strategies. Having established some preliminary findings, a series of 1–1 interviews with identified practitioners working in post-16 educational settings explored these barriers and challenges within contextualised settings in more depth. The results identified disconnect between coaching performance and coaching education, suggesting a lack of knowledge surrounding the uses and capabilities of wearable technology used in football-related FE settings. These findings can help sport, academia and the technology industry to better align and understand in order to meet the educational needs of students seeking to enter a career in sports such as football that use wearable technology.

Student perspectives on optimising AI tools to enhance personalised learning in higher education

This explanatory qualitative paper discusses students’ recommendations on how AI tools can be optimised to enhance personalised learning in higher education. There are several obstacles to the successful adoption and application of AI technology, two of which are user acceptance and striking a balance between AI-assisted and conventional teaching techniques. The Technology Acceptance Model is used in this research as a theoretical framework to analyse how users accept and use technology. It makes the case that users’ acceptance of technology is mostly influenced by their perceptions of its usefulness and ease of use, which can direct the creation of strategies to enhance the application and efficacy of AI technologies in individualised learning. Open-ended questionnaires were given to 40 University of the Free State students from different faculties as part of a qualitative explanatory case study methodology. The findings reveal that both students and lecturers need to be trained in using AI tools and that there should be a balance between using AI tools and traditional teaching methods to enhance personalised learning in higher education. Considering the findings, the study suggests that institutions and lecturers need to address the challenges posed by AI tools immediately and leverage AI to its full potential in creating an effective and personalised learning environment by establishing clear ethical guidelines and policies for AI usage in higher education and implementing comprehensive AI literacy programs for lecturers and students to ensure they understand the capabilities, limitations, and ethical considerations of AI tools.

Implementasi Sistem Pemberian Pakan Ikan Hias Otomatis Menggunakan Esp32 Berbasis IoT (Internet of Things)

This study aims to design and implement an automatic feeding system for ornamental fish using Internet of Things (IoT) technology, with the ESP32 microcontroller and servo motor. Given Indonesia's extensive water resources and the importance of its fisheries sector, ornamental fish farming has gained significant popularity. Fish owners often struggle with providing timely and consistent feeding. IoT technology offers an effective solution through remote connectivity. The developed system utilizes the Blynk application to schedule and monitor aquarium conditions in real-time. Test results indicate that the integration of ESP32 and the servo motor functions effectively, enabling scheduled automatic feeding. The system was tested and found to operate punctually, supporting a consistent daily feeding cycle. This study contributes to the advancement of innovative solutions in aquaculture, particularly in the application of IoT technology for more efficient and effective aquarium management.

Applications of blockchain technology in peer-to-peer energy markets and green hydrogen supply chains: a topical review

Countries all over the world are shifting from conventional and fossil fuel-based energy systems to more sustainable energy systems (renewable energy-based systems). To effectively integrate renewable sources of energy, multi-directional power flow and control are required, and to facilitate this multi-directional power flow, peer-to-peer (P2P) trading is employed. For a safe, secure, and reliable P2P trading system, a secure communication gateway and a cryptographically secure data storage mechanism are required. This paper explores the uses of blockchain (BC) in renewable energy (RE) integration into the grid. We shed light on four primary areas: P2P energy trading, the green hydrogen supply chain, demand response (DR) programmes, and the tracking of RE certificates (RECs). In addition, we investigate how BC can address the existing challenges in these domains and overcome these hurdles to realise a decentralised energy ecosystem. The main purpose of this paper is to provide an understanding of how BC technology can act as a catalyst for a multi-directional energy flow, ultimately revolutionising the way energy is generated, managed, and consumed.

EHealth and mHealth in Antimicrobial Stewardship Programs

Background: The global need for rapid diagnostic methods for pathogen identification and antimicrobial susceptibility testing (AST) is underscored by the increasing bacterial resistance and limited therapeutic options, especially critical in sepsis management. Summary: This review examines the aspects of the eHealth and mHealth in Antimicrobial Stewardship Programs (ASPs) to improve the treatment of infections and rational use of antimicrobials. Key Messages: The evolution from traditional phenotype-based methods to rapid molecular and mass spectrometry techniques has significantly decreased result turnaround times, improving patient outcomes. Despite advancements, the complex decision-making in antimicrobial therapy often exceeds the capacity of many clinicians, highlighting the importance of ASPs. These programs, integrating mHealth and eHealth, leverage technology to enhance healthcare services and patient outcomes, particularly in remote or resource-limited settings. However, the application of such technologies in antimicrobial management remains underexplored in hospitals. The development of platforms combining antimicrobial prescription data with pharmacotherapeutic algorithms and laboratory integration can significantly reduce costs and improve hospitalization times and mortality rates.

Circular RNA: The evolving potential in the disease world

Circular RNAs (circRNAs), a new star of noncoding RNAs, are a group of endogenous RNAs that form a covalently closed circle and occur widely in the mammalian genome. Most circRNAs are conserved throughout species and frequently show stage-specific expression during various stages of tissue development. CircRNAs were a mystery discovery, as they were initially believed to be a product of splicing errors; however, subsequent research has shown that circRNAs can perform various functions and help in the regulation of splicing and transcription, including playing a role as microRNA (miRNA) sponges. With the application of high throughput next-generation technologies, circRNA hotspots were discovered. There are emerging indications that explain the association of circRNAs with human diseases, like cancers, developmental disorders, and inflammation, and circRNAs may be a new potential biomarker for the diagnosis and treatment outcome of various diseases, including cancer. After the discoveries of miRNAs and long noncoding RNAs, circRNAs are now acting as a novel research entity of interest in the field of RNA disease biology. In this review, we aim to focus on major updates on the biogeny and metabolism of circRNAs, along with their possible/established roles in major human diseases.

The Dynamics of the Construction of the Jakarta-Yogyakarta Railroad throughthe Banyumas Karesidenan (1914-1917)

This research was conducted with the aim of complementing the study of the topic of the history of civil engineering technology from the colonial period which explains thedevelopment of rail-based transportation networks, as well as the trial and error of new technology trials at that time. In this research, it is expected to obtain a basic and detailed explanation of the planning, location determination, and construction process. In addition, the research that took place on the Cirebon-Kroya railway line concentrated on the Notog-Kebasen segment reviewed the development of the railway network in Java which was closely related to the transportation revolution in the application of new technology in Java, including the construction system of tunnels, roads, and bridges (mentioned as wisdom buildings), located in the Notog-Kebasen area. The explanation in this research is presented in a chronological, systematic, and qualitative analysis, to examine the topic of the history of civil engineering technology in the construction of the railroad network, including the wisdom building. The construction of the Cirebon-Kroya railway refers to the law of December 31, 1912 Stbl. 32/(1913), in which the 75 km Cirebon-Margasari section was opened on July 1, 1916, the 51 km Kroya-Margasari section was opened on July 1, 1916, and the 32 km Patuguran-Margasari section was opened on January 1, 1907.

Deep Learning-Driven Robot Arm Control Fusing Convolutional Visual Perception and Predictive Modeling for Motion Planning

The wide application of robotic technology in various industries from industrial automation to medical assistance is gradually changing our production and lifestyle, and has attracted widespread attention in many fields. However, existing robotic control systems often grapple with limited flexibility and poor adaptability to complex environments, particularly in highly dynamic operational contexts. Against this backdrop, the integration of deep learning technologies offers new possibilities in enhancing robotic perception and decision-making, especially in visual perception and motion planning. To address these challenges, we have introduced a novel robotic arm control network model, MPC-WGAN-Faster R-CNN, which combines Model Predictive Control concepts with Wasserstein Generative Adversarial Networks and Faster R-CNN visual recognition technology. This integration aims to improve the precision and adaptability of robotic arm operations in complex environments.

Advancements in π‐Magnetism and Precision Engineering of Carbon‐Based Nanostructures

The emergence of π‐magnetism in low‐dimensional carbon‐based nanostructures, such as nanographenes (NGs), has captured significant attention due to their unique properties and potential applications in spintronics and quantum technologies. Recent advancements in on‐surface synthesis under ultra‐high vacuum conditions have enabled the atomically precise engineering of these nanostructures, effectively overcoming the challenges posed by their inherent strong chemical reactivity. This review highlights the essential concepts and synthesis methodologies used in studying NGs. It also outlines the remarkable progress made in understanding and controlling their magnetic properties. Advanced characterization techniques, such as scanning tunneling microscopy (STM) and non‐contact atomic force microscopy (nc‐AFM), have been instrumental in visualizing and manipulating these nanostructures, which highlighting their critical role in the field. The review underscores the versatility of carbon‐based π‐magnetic materials and their potential for integration into next‐generation electronic devices. It also outlines future research directions aimed at optimizing their synthesis and exploring applications in cutting‐edge technologies.

Penerimaan Aplikasi Loklok Menggunakan Metode Technology Acceptance Model (TAM) oleh Masyarakat Jakarta

Nowadays, the development of communication and information technology has brought major chages in various aspect of life, one of them is in entertainment aspects. For example video streaming technology. Video streaming technology has been part of modern society. Loklok is of video streaming technology application which is popular in Indonesia. The purpose of this research is to analyze the acceptance video streaming technology on Loklok application and find out whether it can be generally acceptance by the people of Jakarta. This research was done for loklok application users. Loklok is an application or platform that provides video streaming services with many varieties of genres such Korean dramas, western films and animations. The conceptual model of technology acceptance assessment is based on the Technology Acceptance Model (TAM), which is a research model that analyzes the factors that influence the acceptance of computer technology. The statistical analysis used is the partial least squares structural equation model. This research uses quantitative methods with data collection techniques in the form of filling out online questionnaires through Google Forms with the number of respondents determined by the Slovin formula and sampling techniques using simple random sampling. This study uses PLS-SEM data analys with SmartPLS tools with a sample size of 100. The results of this study indicate that the variables Perceived Usefulness -> Attitude of use, Perceived ease of use -> Attitude of use, Attitude of use - > Behavioral Intention Of Use and Behavioral Intention Of Use -> Actually System Use are positive which means that the LokLok application is well received by the Jakarta Community.

A low voltage load balancing distribution method considering street information and V2G technology application

The low-voltage distribution network (LVDN) is the final stage in delivering electric energy from power plants to consumers, and its operational condition greatly impacts many power users. While medium-voltage and high-voltage distribution networks can be managed through intelligent digital systems, load imbalance issues in LVDNs often rely on planners’ experience, leading to significant limitations. With advancements in electric vehicle (EV) charging technology and vehicle-to-grid (V2G) technology, where EVs act as distributed energy storage units, bidirectional energy exchange between vehicles and the grid can now contribute to LVDN operation. This paper proposes a low-voltage load distribution planning method that integrates street information and V2G technology. A two-stage stochastic programming mixed-integer model is developed to tackle load imbalance in LVDNs, with the planning scheme derived from solving this model. A case study is presented to verify the effectiveness of the method, demonstrating that incorporating V2G technology enhances load distribution accuracy and reduces reliance on manual planning, improving network stability and operational efficiency.

Nano‐Size Effects on Decay Dynamics of Photo‐Excited Polarons in CeO2

AbstractThe study of polaron dynamics in complex materials has garnered significant attention owing to its implications for various technological applications, including catalysis, solid‐state devices, and energy storage. This paper investigates the photo‐excited electron and hole polaron dynamics in cerium dioxide (CeO2) using time‐resolved X‐ray absorption spectroscopy, with an emphasis on the nano‐size effect. Additionally, density functional theory and multiplet calculations have been utilized to reveal the photo‐excited polaron dynamics in CeO2 single crystal (SC) and nanocrystal (NC). The electron polaron is observed to decay into a deep trap site with a short duration of ≈5 ps, while electrons in the traps stay for more than 1400 ps. The most significant observation is the behavior of holes in NC, which tends to stay longer (≈150 ps) compared to SC (<10 ps) suggesting hole existence more at the surface than at bulk. The fast dissociation of the electron polarons the prolonged lifetime of the electrons above the Fermi level and the enhanced hole lifetime at the surface are proposed to be among the various factors that influence the high reactivity of CeO2.