Application Of Technology Research Articles

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.

Assessing the electromagnetic shielding effectiveness of coconut coir composites with varying iron particle concentrations

This study investigates the electromagnetic shielding effectiveness of Coconut Coir-based Porous Carbon (CCPC) composites with varying iron (Fe) particle concentrations, specifically focusing on four different weight ratios of CCPC/Fe-80, CCPC/Fe-60, CCPC/Fe-40, and CCPC/Fe-20. The novelty of this work lies in the use of sustainable coconut coir as a base material, emphasizing its eco-friendly and cost-effective attributes for Electromagnetic interference (EMI) shielding applications. The significance of varying iron particle concentrations is highlighted to optimize electromagnetic shielding effectiveness. Comprehensive analyses were conducted on these composites. X-Ray Diffraction (XRD) analysis confirmed the presence of crystalline Fe particles and amorphous carbon, with crystalline sizes determined via Williamson-Hall (W-H) plot, Scherrer Equation, and Strain Size Plot (SSP) ranging from 17.33 nm to 18.01 nm for the former. Raman spectroscopy revealed distinctive D and G bands, with intensity ratios indicating a slight increase in structural disorder with higher Fe content. UV-Visualization spectroscopy demonstrated distinct absorption peaks, with higher Fe content resulting in more pronounced absorbance and lower band gap energies. Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray Spectroscopy (EDS) analyses provided detailed insights into the material's microstructure and elemental composition, confirming the successful integration of Fe particles within the porous carbon matrix. Vector Network Analyzer (VNA) testing measured the reflection loss (RL), showing values in the range of −26.4 dB to −20.2 dB, for 2 mm thick samples, corresponding to electromagnetic wave attenuation of over 99%. These results underscore the potential of CCPC/Fe composites, particularly in applications requiring effective Electromagnetic (EM) wave attenuation. This research offers a sustainable and cost-effective solution, contributing significantly to the field of materials science by enhancing electromagnetic compatibility in various technological applications.

Efficiency And Effectiveness Performances Of Hydro-Powered Water Pump (Path) Technology Application

Efficiency And Effectiveness Performances Of Hydro-Powered Water Pump (Path) Technology Application

Stability and evolution of skyrmionium and skyrmions in a spherical shell

The study of magnetic structures, particularly those with curved geometries such as spherical shells, has obtained significant interest due to their potential applications in data storage, spintronics, and other advanced technologies. However, the effects of material parameters, geometric dimensions, and magnetic fields on the equilibrium and induced behaviors of skyrmions remain largely unresolved. Here, based on micromagnetic simulations, we firstly investigate the influence of spherical shell dimensions, magnetic anisotropy, exchange interaction, and Dzyaloshinskii–Moriya interaction on the magnetic states of spherical shells. We find that curvature effects become more pronounced with increasing thickness and decreasing radius, providing evidence for the role of curvature-induced DMI-like interactions in skyrmion formation. Additionally, we observe that applying a magnetic field to the spherical shell induces behaviors similar to those in disks, including the topological transition between skyrmionium and skyrmion states, the annihilation of skyrmions, and polarity reversal. Our study aims to advance the understanding of magnetic phenomena in curved geometries and contribute to the development of novel magnetic devices.

Emerging trends in large format additive manufacturing processes and hybrid techniques

AbstractLarge format additive manufacturing (LFAM) technologies are rapidly growing with significant potential for application in multiple technological sectors like aerospace, tooling, automotive, marine, construction, and energy. LFAM processes offer significant advantages including reduced lead time, cost, and material waste, which are further amplified due to the increased volume of the components. This review paper focuses on LFAM technologies with the highest technology readiness level, i.e., metal Directed Energy Deposition (DED), polymer extrusion, and solid-state deposition (i.e. cold spray additive manufacturing (CSAM)). Common system setups, the maximum deposition rate, and the range of processable materials, along with the achievable mechanical properties and geometrical characteristics, are outlined for each technology, both in individual and hybrid manufacturing formats. The main technological challenges are gathered and discussed to highlight the areas that require further development. Finally, the current industrial applications for LFAM technologies and the expected future developments are outlined. This review provides an overview of LFAM technologies’ current status and discusses their potential in improving the manufacturing of complex and large geometries, with a significant reduction in material and energy consumption, while ensuring high-quality and high-performance components.

Collaboration Model Between Stakeholders in Optimizing Regional Budget Allocation as a Strategy to Reduce Poverty and Inequality

Objective: This research aims at composing a model for sharpening regional budget allocation as a strategy to reduce poverty and inequality in Central Java. Method: This research applied mixed methods consisting of quantitative and qualitative analysis. The data used are primary data from key persons selected by purposive sampling. The data were collected by Focus Group Discussion (FGD) and questionnaires. This research used Mactor Analysis (Matrix of Alliances and Conflicts Tactics, Objectives and Recommendations) as the analysis method. Results and Discussion: The results of research indicate that stakeholders with the strongest influence are Regional Economic Bureau of Kebumen, Regional Development Planning Agency of Pati Regency, and Regional Development Planning Agency of Banyumas Regency. Viewed from the relationship among actors and objectives, banking is an actor with the strongest support for the objective of increased access to capital and financing for small and medium enterprises. Research Implications: The application of clean technology will increase the production efficiency and then will increase the economic output. This research contributes to the development of global policies that drive the balanced and environmentally-friendly growth in the whole world. Originality/Value: Theoretically, this research enriches the literature on local budget management and provides new insights into how fiscal strategies can be integrated with social objectives, especially in the context of regions with diverse socioeconomic characteristics.

Academic background of senior executives and enterprise digital transformation

With the application of digital technology and its promotion of business model innovation, digital transformation has increasingly become an important strategic issue for enterprises. In this context, based on imprinting theory, we select all A-share listed enterprises in China from 2008 to 2022 as samples and study the relationship between the academic background of senior executives and the digital transformation of enterprises. The study results show that senior executives with academic backgrounds can significantly promote the digital transformation of enterprises. A test of the action mechanism shows that the academic background of senior executives plays a role in the promotion of the digital transformation of enterprises by improving enterprise innovation, and the degree of industry competition moderates the relationship between the academic background of senior executives and the digital transformation of enterprises. This paper applies imprint theory to explore the relationship between the academic background of executives and corporate digital transformation, expanding the research on how imprints affect corporate decision-making and the scope of imprint theory research, while also providing evidence to support government departments in formulating policies to encourage talented individuals with academic backgrounds to participate in corporate management.

Boosted Near-Infrared Photothermal Conversion in Rare Earth Ions-Doped 2D SnSe Nanosheets for Solar-Powered Water Evaporation Systems.

Solar-powered water evaporation as a clean and abundant renewable energy-efficient desalination technology provides a promising strategy to solve the shortage of freshwater resources. However, the development and application of solar vapor technology are hindered by the relatively low near-infrared photothermal conversion efficiency of existing materials and the lack of effective improvement strategies. In this work, the conductivity characteristics of 2Dsemiconductors are capitalized on the high visible light absorption and ultra-low thermal. Specifically, rare-earth ion dopants into SnSe nanosheets, significantly boosting their near-infrared photothermal conversion efficiency and solar water evaporation performance are introduced. Remarkably, the photothermal conversion efficiency of the doped SnSe nanosheets surged from 51.56% to 82.11%, surpassing many previously reported photothermal materials. Furthermore, leveraging these nanosheets with enhanced photothermal conversion efficiency, a solar interfacial evaporation system is constructed. The evaporation rate of 2.17kgm-2h-1 and the efficiency of 96.5% can be achieved at one solar irradiance, and it also has good salt-resistance properties. The findings demonstrate the potential of rare earth ion-doped 2D semiconductor nanosheets in solar water evaporation, paving the way for future sustainable desalination solutions.