Development Of Advanced Technologies Research Articles

A multimodal machine learning approach to generate news articles from geo-tagged images

Classical machine learning algorithms typically operate on unimodal data and hence it can analyze and make predictions based on data from a single source (modality). Whereas multimodal machine learning algorithm, learns from information across multiple modalities, such as text, images, audio, and sensor data. The paper leverages the functionalities of multimodal machine learning (ML) application for generating text from images. The proposed work presents an innovative multimodal algorithm that automates the creation of news articles from geo-tagged images by leveraging cutting-edge developments in machine learning, image captioning, and advanced text generation technologies. Employing a multimodal approach that integrates machine learning and transformer algorithms, such as visual geometry group network16 (VGGNet16), convolutional neural network (CNN) and a long short-term memory (LSTM) based system, the algorithm initiates by extracting the location from exchangeable image file format (Exif) data from the image. The features are extracted from the image and corresponding news headline is generated. The headlines are used for generating a comprehensive article with contemporary large language model (LLM). Further, the algorithm generates the news article big-science large open-science open-access multilingual language model (BLOOM). The algorithm was tested on real time photographs as well as images from the internet. In both the cases the news articles generated were validated with ROUGE and BULE score. The proposed work is found to be successful attempt in journalism field.

Understanding the evolution of China’s approach to digital trade: interests, ideas, and institutions

Amid economic globalisation and the rapid development of advanced technologies in recent years, the world economy has shown an increasing trend of digitalisation, whilst digital trade has become the primary pattern of international trade. Based on differences rooted in socio-political systems, as well as the current precarious geopolitical realities, governments adopt different ideas in accordance with their respective interests in the institutionalisation of digital trade. As the world’s second-largest economy and a major digital power, China’s behaviours and ideological stances attract scholarly attention and states’ concern. Whilst Western countries and scholars have criticised China’s ideas of “government intervention in data regulation” and “cyber sovereignty” applied in its existing approach to digital trade, warning that China’s approach poses a threat to Western powers’ adherence to liberalism in the international digital trade system and the idea of “free data flow” in their approaches to digital trade, there has been insufficient research into how China’s approach to digital trade has evolved over time and which ideas and interests have influenced it. To bridge this gap in the literature, this paper divides the evolution of China’s approach to digital trade over the past three decades (1993–2023) into three phases using a longitudinal approach. This research conducts qualitative content analysis using official documents, white papers, and declarations from official Chinese websites, then adopts the 3I analytical framework to analyse which ideas and interests have influenced China’s approach in each phase and how its approach to digital trade has evolved over time.

Recent Advances in the Preparation Methods of Magnesium-Based Hydrogen Storage Materials

Magnesium-based hydrogen storage materials have garnered significant attention due to their high hydrogen storage capacity, abundance, and low cost. However, the slow kinetics and high desorption temperature of magnesium hydride hinder its practical application. Various preparation methods have been developed to improve the hydrogen storage properties of magnesium-based materials. This review comprehensively summarizes the recent advances in the preparation methods of magnesium-based hydrogen storage materials, including mechanical ball milling, methanol-wrapped chemical vapor deposition, plasma-assisted ball milling, organic ligand-assisted synthesis, and other emerging methods. The principles, processes, key parameters, and modification strategies of each method are discussed in detail, along with representative research cases. Furthermore, the advantages and disadvantages of different preparation methods are compared and evaluated, and their influence on hydrogen storage properties is analyzed. The practical application potential of these methods is also assessed, considering factors such as hydrogen storage performance, scalability, and cost-effectiveness. Finally, the existing challenges and future research directions in this field are outlined, emphasizing the need for further development of high-performance and cost-effective magnesium-based hydrogen storage materials for clean energy applications. This review provides valuable insights and references for researchers working on the development of advanced magnesium-based hydrogen storage technologies.

An intellectual property analysis: advances and commercialization of low-dimensional carbon materials in batteries

There is a growing demand for energy consumption in society due to the increasing application of emerging technologies. Therefore, the need for the development of advanced energy storage technologies to cope with the rising energy demand is rising. Carbon materials play significant roles in energy storage technologies. In this review, the research progress and applications of low-dimensional carbon materials in batteries, including carbon quantum dots, carbon nanotubes, and graphene, are summarized. The performance of these materials is compared against traditional lithium-ion batteries with graphite, which has limitations in its bandgap and reversible capacity. A mini-intellectual property analysis and the advances and commercialization of low-dimensional carbon materials in batteries were provided. The challenges and limitations associated with using these materials as electrode materials were discussed, and a market overview of their commercialization was provided. Finally, future directions for research and development in this field were concluded. Overall, this review provides a comprehensive overview of low-dimensional carbon materials as a promising research area for developing advanced batteries to meet the growing demand for energy consumption.

Integration of Sensing, Communication, and Computing for Metaverse: A Survey

The metaverse is an Artificial Intelligence (AI) -generated virtual world, in which people can game, work, learn, and socialize. The realization of metaverse not only requires a large amount of computing resources to realize the rendering of the virtual world, but also requires communication resources to realize real-time transmission of massive data to ensure a good user experience. The metaverse is currently moving from fiction to reality with the development of advanced technologies represented by AI, blockchain, extended reality, and Digital Twins (DT) . However, due to the shortage of communication as well as computing resources, how to realize secure and efficient data interaction between the virtual and the real is an important issue for the metaverse. In this article, we first discuss the characteristics and architecture of the metaverse and introduce its enabling technologies. To cope with the conflict between limited resources and user demands, the article next introduces an Integrated Sensing, Communication, and Computing (SCC) technology and describes its basic principles and related characteristics of SCC. After that, solutions based on SCC in the metaverse scenarios are summarized and relevant lessons are summarized. Finally, we discuss some research challenges and open issues.

Leveraging DNA‐encoded Cell‐mimics for Environment‐adaptive Transmembrane Channel Release‐induced Cell Death

The advancement of cell‐mimic materials, which can forge sophisticated physicochemical dialogues with living cells, has unlocked a realm of intriguing prospects within the fields of synthetic biology and biomedical engineering. Inspired by the evolutionarily acquired ability of T lymphocytes to release perforin and generate transmembrane channels on targeted cells for killing, herein we present a pioneering DNA‐encoded artificial T cell mimic model (ARTC) that accurately mimics T‐cell‐like behavior. ARTC responds to acidic conditions similar to those found in the tumor microenvironment and then selectively releases a G‐rich DNA strand (LG4) embedded with C12 lipid and cholesterol molecules. Once released, LG4 effectively integrates into the membranes of neighboring live cells, behaving as an artificial transmembrane channel that selectively transports K+ ions and disrupts cellular homeostasis, ultimately inducing apoptosis. We hope that the emergence of ARTC will usher in new perspectives for revolutionizing future disease treatment and catalyzing the development of advanced biomedical technologies

Leveraging DNA-encoded Cell-mimics for Environment-adaptive Transmembrane Channel Release-induced Cell Death.

The advancement of cell-mimic materials, which can forge sophisticated physicochemical dialogues with living cells, has unlocked a realm of intriguing prospects within the fields of synthetic biology and biomedical engineering. Inspired by the evolutionarily acquired ability of T lymphocytes to release perforin and generate transmembrane channels on targeted cells for killing, herein we present a pioneering DNA-encoded artificial T cell mimic model (ARTC) that accurately mimics T-cell-like behavior. ARTC responds to acidic conditions similar to those found in the tumor microenvironment and then selectively releases a G-rich DNA strand (LG4) embedded with C12 lipid and cholesterol molecules. Once released, LG4 effectively integrates into the membranes of neighboring live cells, behaving as an artificial transmembrane channel that selectively transports K+ ions and disrupts cellular homeostasis, ultimately inducing apoptosis. We hope that the emergence of ARTC will usher in new perspectives for revolutionizing future disease treatment and catalyzing the development of advanced biomedical technologies.

Penerapan Data Mining Klasifikasi Tingkat Pemahaman Siswa Pada Kegiatan Belajar Mengajar dengan Metode Decision Tree (Studi Kasus SDN Malaka Jaya 11 Duren Sawit)

Very advanced technological developments can help all aspects of life, one of which is the world of education. The world of education certainly really needs the role of technology in managing activities by utilizing information technology. Problems arise in the system for processing piles of data to find out whether or not students are able to follow subjects at SDN Malaka Jaya 11. The process of implementing this data mining application alone discusses predicting children's ability levels in taking subjects. The data used is data from 5th grade elementary school students for the last 1 year of the academic year (2022 - 2023) at SDN Malaka Jaya 11. One classification model is to create a decision tree. By knowing the child's level of ability in following subjects, it is hoped that future solutions can be provided by students in processing student data with a computerized system, especially data regarding children's ability level in taking subjects. How the system built works using the decision tree method.

Digital Literacy for Millennial Families in Educating Children in the Digital Age

The development of technological advancements in the digital age has brought about enormous changes in all aspects of life. In the digital age, educational problems have become very diverse with the increase in family responsibilities. To overcome these developments, the expertise of parents and educators is needed to implement appropriate solutions to all these problems as well as the ability to adapt to changing environments. This research takes an in-depth look at the digital literacy of millennial families in raising children in the digital age. Teachers and parents really need digital literacy skills to educate children so that they can play various roles as educators in the digital age. This research uses library research methods. Data collection in this research was carried out by developing various types of literature in the form of books, journals, e-books and literature relevant to digital literacy issues in millennial families in the digital age. Data analysis techniques use content analysis methods from journals and other materials accessible via the Internet. The results show that in the digital age, the role of parents is really necessary to avoid being left behind. In our time, a new reorientation of learning is necessary because it is seen to affect vision, responsibility, social sensitivity and logical abilities, as well as honesty. All this leads to a reorientation of the new role of parents, namely as agents of change, knowledge updaters and learning consultants who emphasize creativity, initiative, good communication and cooperation between parents, school and community

A Primer on Genetic Testing for Horse Owners and Breeders

With the increasing development of genetic testing and advanced genomic technologies, horse owners and breeders have more opportunities than ever before to learn more about the genetic background of their horses. This publication provides information to help horse owners and breeders understand what genetic testing services are, which genetic tests are available for their horses, and how to locate genetic testing services. Written by Julia L. Ciosek, Carissa Wickens, and Samantha A. Brooks, and published by the Veterinary Medicine—Department of Large Animal Clinical Sciences, UF/IFAS Extension, April 2024.

Hydroponics as an advanced vegetable production technique: an overview

In the recent past, population explosion across the globe has presented many challenges that include the availability of arable land diminishing per capita for traditional soil-based farming. Therefore, the development of advanced agricultural technologies and methods has become important in response to these persistent situations. Amongst these innovations, soilless crop cultivation has emerged as one of the promising solutions, leading from the forefront. This current review offers a comprehensive investigation of hydroponics as an advanced technology for vegetable production. It explains many aspects related to hydroponic systems, viz., methods used in hydroponics, its advantages, challenges as well as application in vegetable production. This paper also explores the hydroponics evolution historically, various hydroponic systems, their essential components, and nutrient solution role in plant growth facilitation. Furthermore, it highlights various advantages of farming under hydroponic culture, viz., increase in yields, efficient usage of water, optimum space utilization, and less environmental impact. Additionally, this review also sheds light on challenges related to hydroponics, like initial setup cost, technical complexity, and management of diseases. Moreover, it also enlightens about vegetables that are suitable to cultivate under hydroponic culture and provides insight into continuing research, and forthcoming projections in the area of vegetable production under hydroponic cultivation.

Multi-freedom effects on a raft-type wave energy convertor- hydrodynamic response and energy absorption

This research delves into the effects of multiple degrees of freedom on a raft-type wave energy converter (WEC), using both experimental and computational methods. The WEC features two interconnected floating bodies linked by a specialized parallelogram joint, allowing for distinct heave, pitch, and surge motions. The power take-off (PTO) system, integrating Coulomb damping, is analysed for its impact on energy absorption. Despite varying damping amplitudes, peak energy absorption is consistent across different wave periods, as shown in scaled model tests. Computational simulations further investigate the multi-freedom effects by imposing constraints on various degrees of freedom, thus elucidating their individual and combined influences on energy absorption. Preliminary results indicate that the addition of degrees of freedom can enhance the WEC's efficiency, especially through coordinated release of the bodies' relative pitch and surge motions. The study also finds that the energy absorption efficiency from pitch motion depends on the release of surge motion. Moreover, the energy distribution among each degree of freedom is significantly affected by the device's multi-freedom characteristics. This research provides valuable insights and practical guidelines for the development of advanced multi-freedom WEC technologies.

Optimal channel selection for tri-band Wi-Fi in a residential scenario

The growing use of Internet of Things devices and the increasing demand for high-speed, reliable, and secure wireless connectivity pose significant challenges for existing wireless networking solutions in modern smart homes. As such, there is an increasing urgency for the development of advanced and effective wireless technologies that can fulfil the new requirements for interconnected devices and services deployed in households. Tri-band Wi-Fi 6E equipment addresses these needs by reducing the network congestion and enhancing the performance across the 2.4 GHz, 5 GHz, and 6 GHz bands. However, improper band management can lead to frequent interference and network issues. As such, this work introduces a dynamic Wi-Fi link orchestration solution that follows a heuristic model. This approach aims to optimize the network layout and channel allocation based on device metrics, utilizing the EasyMesh specification for simplified network setup and management. The model was implemented and tested in a residential environment network, using EasyMesh and tri-band Wi-Fi 6E devices. Results show the effectiveness of the model in improving network capacity and adapting the links to the current traffic, outperforming the initial and base network configuration.

PENGARUH LITERASI DIGITAL DAN MOTIVASI PRESTASI TERHADAP HASIL BELAJAR EKONOMI PESERTA DIDIK DI SMA

The low learning outcomes of students during learning activities are due to a lack of digital literacy and achievement motivation among students. In the current learning process that has been replaced with a digital system, we can take advantage of developments in technology and information and the importance of internal factors for students to be motivated to achieve. The aim of this research is to analyze the influence of digital literacy and achievement motivation on student learning outcomes in high school. The research approach is quantitative research with causal methods. The research sample was 88 students in class XI IIS of SMA Negeri 1 Nanga Taman. Data collection methods use questionnaires and test questions. Data were analyzed using multiple linear regression. The research results show: 1) digital literacy has a significant effect on the economic learning outcomes of students in high school with a sig value of 0.018 < 0.05. 2) achievement motivation has a significant effect on students' economic learning outcomes in high school with a sig value of 0.000 < 0.05. 3) digital literacy and achievement motivation simultaneously have a significant effect on students' economic learning outcomes in high school with a sig value of 0.000 < 0.05.

Metabolic reprogramming: a new option for the treatment of spinal cord injury

Abstract Spinal cord injuries impose a notably economic burden on society, mainly because of the severe after effects they cause. Despite the ongoing development of various therapies for spinal cord injuries, their effectiveness remains unsatisfactory. However, a deeper understanding of metabolism has opened up a new therapeutic opportunity in the form of metabolic reprogramming. In this review, we explore the metabolic changes that occur during spinal cord injuries, their consequences, and the therapeutic tools available for metabolic reprogramming. Normal spinal cord metabolism is characterized by independent cellular metabolism and intercellular metabolic coupling. However, spinal cord injury results in metabolic disorders that include disturbances in glucose metabolism, lipid metabolism, and mitochondrial dysfunction. These metabolic disturbances lead to corresponding pathological changes, including the failure of axonal regeneration, the accumulation of scarring, and the activation of microglia. To rescue spinal cord injury at the metabolic level, potential metabolic reprogramming approaches have emerged, including replenishing metabolic substrates, reconstituting metabolic couplings, and targeting mitochondrial therapies to alter cell fate. The available evidence suggests that metabolic reprogramming holds great promise as a next-generation approach for the treatment of spinal cord injury. To further advance the metabolic treatment of the spinal cord injury, future efforts should focus on a deeper understanding of neurometabolism, the development of more advanced metabolomics technologies, and the design of highly effective metabolic interventions.

Recent Advances in Two-Dimensional Nanomaterials for Healthcare Monitoring.

The development of advanced technologies for the fabrication of functional nanomaterials, nanostructures, and devices has facilitated the development of biosensors for analyses. Two-dimensional (2D) nanomaterials, with unique hierarchical structures, a high surface area, and the ability to be functionalized for target detection at the surface, exhibit high potential for biosensing applications. The electronic properties, mechanical flexibility, and optical, electrochemical, and physical properties of 2D nanomaterials can be easily modulated, enabling the construction of biosensing platforms for the detection of various analytes with targeted recognition, sensitivity, and selectivity. This review provides an overview of the recent advances in 2D nanomaterials and nanostructures used for biosensor and wearable-sensor development for healthcare and health-monitoring applications. Finally, the advantages of 2D-nanomaterial-based devices and several challenges in their optimal operation have been discussed to facilitate the development of smart high-performance biosensors in the future.

Jump Hurdlers: an Adventure game based on 2D using Gdevelop 5

The more advanced technological developments in this modern era are, the more new games emerge with graphic quality that is closer to real life. The newest games which make the game graphics more real are indeed increasingly interesting and make the players switch to these more modern games and start to forget. 2-dimensional games that are flat or flat are only 2 dimensions. The 2-dimensional games that used to be a favorite in the 90s are starting to be abandoned, so this 2-dimensional based adventure game has been brought back to popularize the less interesting 2-dimensional based games into 2-dimensional games with a more modern appearance and graphic design with a flat design as the base. so that games like this will develop in the modern market and can compete with 3-dimensional based games. Adventure games can also be said to be games that give players the opportunity to analyze the game arena visually. This game also does not require players to have special abilities in completing a mission, but simply by defeating enemies, avoiding obstacles, and following the storyline in a game. game.

Utilising AI-based Chatbot for Maximising Value and Profitability of Islamic Financial Institutions

global Islamic finance industry has experienced significant growth in recent years, establishing Islamic financial institutions (IFIs) as prominent players in the international financial landscape. To maintain competitiveness and sustainability, IFIs must embrace innovation and explore avenues for maximising their performance. This research aims to investigate the effect of AI-based Chatbots on the value and profitability of IFIs in Organisation of Islamic Cooperation (OIC) countries. The study has employed quantitative methodology, and the data was collected from the Bloomberg database, Thomson Reuters DataStream, World Development Indicators and annual reports of 104 IFIs across 44 OIC countries from 2020 to 2022. Employing the Generalised Method of Moments (GMM), this study investigates the impact of AI-based Chatbots on the value and profitability of IFIs. The findings show a positive impact of Chatbot on Return on Assets (ROA), Return on Equity (ROE), and Tobin’s Q (TBQ). Furthermore, the analysis reveals that variables such as Gross Domestic Product (GDP), institutional size (SIZE), and age (AGE) exhibit positive associations with the value and profitability of IFIs. Conversely, the study identifies Consumer Price Index (CPI) as exerting a negative influence on the value and profitability of IFIs, indicating potential challenges posed by inflationary pressures. IFIs may consider investing in the development and deployment of advanced AI technologies to enhance overall profitability. Keywords: AI-based Chatbot; Profitability; Islamic financial institutions (IFIs); OIC Countries; Dynamic GMM

A study of morphological, optical, and photoluminescence properties of ZnS thin films doped Mn and ca

In this study, zinc sulfide (ZnS) thin films were deposited via physical vapor deposition (PVD) under high vacuum conditions, incorporating dual dopants manganese (Mn2+) and calcium (Ca2+). Morphological examination by AFM revealed that Mn2+ promoted a uniform and smooth film structure, whereas Ca2+ induced surface roughness. Optical characterization using ultraviolet–visible spectroscopy showed high transparency in the visible range, with doping leading to significant alterations in the bandgap energy. Photoluminescence investigations displayed prominent emission peaks at 385 nm, 448 nm, and 560 nm, characteristic of ZnS bandgap emissions, as well as an additional peak at 600 nm due to the novel dopant's influence. X-ray fluorescence (XRF) and Fourier transform infrared (FTIR) analyses verified the presence of ZnS and other constituents. Doping improved the optical and luminescent characteristics, offering potential for use in optoelectronics, light-emitting diodes (LEDs), and advanced technology development. This customizable approach to ZnS thin films presents innovative opportunities within material science and device manufacturing.

Development of advanced solar panel technologies in buildings – A review

In recent years, the global energy landscape has been undergoing a significant transformation, with renewable energy sources gaining prominence. Among these, solar energy has emerged as a leading ‘green energy’ option, particularly in India, which is at the forefront of this renewable energy revolution. This article focuses on the increasing relevance of solar energy, underlined by the widespread adoption of solar power in various sectors, including residential, commercial, and industrial. The centrepiece of this solar energy boom is the solar panel, primarily installed on commercial buildings, which harnesses solar energy and converts it into electrical power. These panels are composed of a network of solar cells, each crafted from layers of silicon, phosphorous, and boron, meticulously arranged to optimise energy absorption and conversion. The paper delves into the technological progress in the field of solar panel systems, emphasising their growing integration in different types of buildings. It discusses how these advancements not only enhance energy efficiency but also contribute significantly to the development of a more sustainable and environmentally friendly energy future. The article presents a comprehensive overview of the current state of solar panel technology and its potential implications for shaping a greener energy landscape.