Latest Technology Research Articles

SISTEM INFORMASI PENCARIAN LOWONGAN KERJA DI AREA CIAYUMAJAKUNING BERBASIS WEBSITE

This research describes the development of a web-based job vacancy information system covering the Cirebon, Indramayu, Majalengka and Kuningan areas using the Laravel framework. This system is designed to make it easier for job seekers to find the latest information about job vacancies in the area. The development method involves analyzing user needs, designing an intuitive interface, and implementing an efficient and responsive search feature. Job vacancy data is collected from a variety of trusted sources and presented in an easy-to-understand format, giving users the ability to search based on specific criteria such as location, industry, and level of experience. Laravel was chosen as the main framework because of its ability to facilitate the development of stable, secure, and easy to manage web applications. The use of the latest technologies in developing this system also ensures data security and the reliability of the information provided to users. This research aims to increase the accessibility of job vacancy information for people in the Cirebon, Indramayu, Majalengka and Kuningan areas, as well as contributing to speeding up the job search process for job seekers. By utilizing information technology, it is hoped that this system can become an effective means of connecting job applicants and companies that are opening vacancies, enabling the creation of better job opportunities for the local community

Residents' Perceptions of Passive Design Responding to Climate Change in Simple Houses in Depok, West Java, Indonesia

Since the last few years, environmental issues related to global warming and increasing earth surface temperatures have had an influence on various fields. This environmental issue also affects the micro and macro climate. Architecturally, design can respond to changes in microclimate with passive design and active design. Passive design has long been applied to vernacular architecture, namely responding to local conditions in buildings. Meanwhile, active design is related to the latest technology and developments, such as energy-saving technology, as well as the use of natural elements as energy sources. This research uses quantitative methods. Primary data was collected using a questionnaire to determine the tendency of residents' perceptions of passive design. The analysis of this research is descriptive statistics, based on the answers of 35 respondents who live in simple houses in Depok, West Java, Indonesia. The research results showed that respondents' tendency towards passive design was shown in several things, namely: additional elements of the building at the front (canopy) can reduce heat and create shadow areas, the location and size of openings can support natural lighting and ventilation. Openings can be doors, windows, grilles, rosters and other elements. The existence of open space at the front and back of the house can reduce heat and cool the microclimate.

A Critical Analysis of Modern Educational Research and Teaching Strategies in Nigerian Educational System

The study critically analysed modern educational research and teaching strategies in Nigerian educational system. Technology has certainly changed the way we live. It has impacted different facets of life and redefined living. Undoubtedly, technology plays an important role in every sphere of life. Also, many complex and critical processes can be carried out with ease and greater efficiency with the help of modern technology. However, the teachers are afraid of technological advancement as they need to keep upgrading. Whereas, the learners/students are conversant with the latest technology and can easily cross check whatever that is taught in the class at an instance. Teachers using analog methods to teach modern students create discouragement for learning. More so, because of the emergent in modern educational research there is a shift from teacher-centered to student-centered approach as a result prioritize student engagement, creativity and critical thinking, preparing students for the future. It therefore concluded that as a medium for massive change, technology has improved our existing understanding by assisting educators and students in making the most use of cutting-edge teaching techniques.

COGNITIVE METHODOLOGY OF TEACHING UKRAINIAN LANGUAGE IN THE CONTEXT OF THE NEW UKRAINIAN SCHOOL

The article explores the theoretical foundations of the cognitive approach to teaching the Ukrainian language in the context of the New Ukrainian School (NUS). The relevance of the research topic lies in the advantages of this approach in developing critical thinking skills, creativity, emotional intelligence, and understanding the global interconnectedness of linguistic and national-cultural paradigms among students. The development of modern methods of teaching the Ukrainian language in school requires the involvement of the latest achievements of domestic linguistic thought in the learning process. The active development of the cognitive direction in Ukrainian linguistics at the end of the 20th — beginning of the 21st century has found its place in the latest technologies for teaching linguistic disciplines in school. Modeling studies of educational situations that illustrate the depth and relevance of the analyzed problem are important. The adaptation of cognitive linguistics tools to the needs of teaching the Ukrainian language at different educational levels is also considered separately. The aim of the study is to reveal the basic theoretical foundations of the cognitive methodology for teaching the Ukrainian language and to specify and determine the areas of its practical application in the context of the NUS. The following main research methods were used in the work: method of content analysis of scientific-theoretical concepts, method of analysis and modeling of educational situations, method of systemic analysis. The object of the research is the methodology of teaching the Ukrainian language, and the subject is the tools and means of cognitive linguistics research in the system of language education for students. The cognitive approach to teaching the Ukrainian language in the context of the NUS is a promising direction in modern linguodidactics, with the potential to improve the quality of language education and promote the development of critical thinking, creativity, emotional intelligence, and understanding of the global interconnectedness of linguistic and national-cultural paradigms among students.

Perancangan Sistem Informasi Berita Otomotif Berbasis Website Dengan Php Dan Mysql

In today's digital era, information about the automotive world is in great demand by the public. To meet these needs, an information system is needed that is able to present automotive news quickly, accurately, and easily accessible. This research aims to design and develop a website-based automotive news information system using PHP and MySQL. This system is designed to facilitate users in getting the latest information about the automotive world, including news about new vehicles, product reviews, maintenance tips, and the latest technology. The methods used in developing this system include needs analysis, system design, implementation, and testing. The results show that the information system developed is able to provide automotive news services with a user-friendly interface and features that suit user needs. With this system, it is expected to increase the accessibility and dissemination of automotive information among the public.

Новітні технології в екологічно безпечних полімерних покриттях: дослідження, технології, перспективи

The scientific work is aimed at the study of environmentally friendly polymer coatings in the automotive industry, which constantly attracts the attention of scientists and practitioners. The article analyzes the current state of technology in this area, reviews the latest research and technological developments, and discusses their prospects for implementation in production. Starting with a review of the latest research on paints and coatings, the paper goes on to discuss self-healing materials and microcapsules that have the potential to create resistant and durable coatings.The paper also discusses anti-corrosion coatings, which are an important part of protecting automotive structures from the effects of negative environmental factors. Particular attention is paid to the development of environmentally friendly polymer coatings that meet the requirements of sustainable development and reduce the environmental impact of the industry on the environment.In addition, the latest trends in the industry are analyzed, which allows us to predict further directions of technology development and implementation of innovative solutions. The work has important practical application in the automotive industry, contributing to improving the quality of automotive coatings protection against corrosion and extending their service life in various operating conditions. The work is aimed at highlighting relevant aspects of research in the field of environmentally friendly polymer coatings and provides a valuable contribution to the development of this important industry. The results will improve the quality and duration of corrosion protection of paintwork, metal structures and other products.The use of the latest materials and technologies in the manufacture of coatings is driven by the need for their environmental friendliness, efficiency and durability. However, the introduction of some new technologies faces limitations, in particular, related to their economic feasibility and scalability. In this regard, further research is needed to optimize technologies and materials to achieve greater efficiency in road transport.

The economic impact of the adoption of emerging technologies in the context of the fourth industrial revolution

Aim. To investigate the economic consequences in the development and application of modern technologies created in the context of the fourth industrial revolution.Objectives. To identify the main technological solutions introduced within the framework of the “Industry 4.0” concept; to analyze the impact of these innovations on various economic sectors; to assess the economic benefits and risks from the introduction of the latest technologies; to develop recommendations to increase benefits and minimize risks.Methods. The author studied the scientific-publicistic literature and applied the method of analyzing existing research and statistical data.Results. The process of influence of innovative technologies on productivity, employment and economic growth was analyzed. The economic benefits from the introduction of the concept of “Industry 4.0” (increasing production efficiency, creating new jobs and reducing costs) were evaluated. Economic risks are identified: polarization of the labor market, technological unemployment and aggravation of income inequality.Conclusions. The introduction of innovative technologies within the framework of the “Industry 4.0” concept significantly affects the economy. To fully realize the opportunities and minimize risks, industries need to implement organizational measures. Recommendations include investing in education, skills development, retraining and creating a regulatory environment that supports innovation at all stages of production.

Maximizing the Benefits of ChatGPT with FIRST-ADLX Framework: Promoting Responsible, Ethical, and Impactful AI Integration in Education

In the era of fast technological advancements and the inclusion of Artificial Intelligence (AI) in education, it is more important than ever for educators to have a pedagogy that embeds this technology. A humanistic approach to education is demanded. The focus on the individual student and their emotional and spiritual needs is essential if an active deep learner experience is to be created.This paper aims to explore the integration of Chat Generative Pre-Trained Transformer (ChatGPT) within Focusing, Interacting, Reviewing, Sequencing, Transforming-Active Deep Learner eXperience Framework (FIRST-ADLX Framework) and investigate the framework’s capacity to effectively incorporate the latest technology while prioritizing the learners’ needs and promoting responsible and ethical use of AI in education. By embedding ChatGPT within a comprehensive, holistic, and humanized Framework that prioritizes pedagogy over technology and focuses on the learner rather than on the digital tool, it becomes possible to create an immersive and impactful ADLX. This ensures that the technology used enhances the learner’s experience and does not overshadow it. Furthermore, the study shows how the implementation of the domains and principles of FIRST-ADLX Framework can maximize the benefits of ChatGPT in particular, encourages facilitators and learners to embrace AI technologies as valuable tools and resources, and supports both in utilizing AI ethically, responsibly, and appropriately.The study adopts a qualitative auto-ethnographic approach where data is collected from the facilitator’s personal diary, observations, participants’ comments, and assessments furthermore, this study offers a more objective perspective and embraces descriptive quantitative methods to analyze the results of formative quizzes and the final summative assessment. This approach aims to emphasize the importance of integrating AI within a comprehensive and humanistic framework, avoiding its random use and ensuring alignment with student-centered principles.

ШЛЯХИ ОПТИМІЗАЦІЇ САМОСТІЙНОЇ РОБОТИ СТУДЕНТІВ В ПРОЦЕСІОВОЛОДІННЯ ІНОЗЕМНОЮ МОВОЮ У ВИЩІЙ ШКОЛІ

The article is devoted to the organisation of students' independent work in higher education in the process of learning a foreign language. Students' independent work is identified as a key factor in the formation of self-education skills and the ability to learn throughout life. In the course of the study, three independent but interrelated parties involved in the process of self-learning of students were identified: student(s)-teacher-information technologies. It is defined that properly organized independent work of students allows them to process large amounts of information, in particular, to work with authentic foreign language sources in the process of mastering foreign language competence. It is proved that the prerequisites for high-quality independent work can and should be formed in the process of classroom work, which in its turn distinguishes a separate function of classroom teaching: preparation for independent work of students. It is stated that students' independent work cannot be separated from classroom work, since it is in the classroom that the teacher uses pedagogical tools to influence the student in order to increase his or her level of confidence and encourage independence. It is emphasised that the task of face-to-face learning is to form basic knowledge and skills, as well as the necessary potential for independent work of the student in future, while having independent learning. The course “Foreign Language for Professional Purposes” chosen for the study is the basic course in learning a foreign language (English) for students of the Vinnytsia Institute of Trade and Economics of the State University of Trade and Economics, therefore, it has been chosen for our study. Based on the results of a preliminary survey of students, we tested the latest technology for organizing students' independent work called “Puzzles”, which accumulates and presents information on English-speaking countries in various fields. Moreover, the areas of work can be selected from a list or suggested by the student and included in the list. Thus, independent work can coincide with the realisation of students' wishes and interests, which in its turn became a driving emotional factor in student motivation.

Structures of Epstein-Barr virus and Kaposi's sarcoma-associated herpesvirus virions reveal species-specific tegument and envelope features.

Discovered in 1964, Epstein-Barr virus (EBV) is the first identified human oncogenic virus and the founding member of the gammaherpesvirus subfamily. In 1994, another cancer-causing virus was discovered in lesions of AIDS patients and later named Kaposi's sarcoma-associated herpesvirus (KSHV), the second human gammaherpesvirus. Despite the historical importance of EBV and KSHV, technical difficulties with isolating large quantities of these viruses and the pleiomorphic nature of their envelope and tegument layers have limited structural characterization of their virions. In this study, we employed the latest technologies in cryogenic electron microscopy (cryoEM) and tomography (cryoET) supplemented with an artificial intelligence-powered data processing software package to reconstruct 3D structures of the EBV and KSHV virions. We uncovered unique properties of the envelope glycoproteins and tegument layers of both EBV and KSHV. Comparison of these features with their non-tumorigenic counterparts provides insights into their relevance during infection.

SOCIAL ADVERTISING VIDEOS IN AUDIOVISUAL TEACHING METHOD IN FOREIGN LANGUAGE CLASSES

means of working with linguistic material, depending on technological capabilities and basic didactic and pedagogical models. The development of cognitive didactics led to the emergence of a new concept of teaching a foreign language, based on taking into account the way students process linguistic material through immersion in the linguistic and cultural environment. Students, like all globalized modern society, are characterized by a great interest to the information space. In the period of social transformations of the world, in the time of the latest technologies and globalization, foreign language teachers can use the social advertising as the universal and rather harmonious sphere of mass media and information space to provide information material from a foreign language, because in addition to the large text content, such videos are a powerful factor, which influence on students even with some elements of manipulating them. Linguistic features of advertising texts undoubtedly play an important role in the use of foreign language concepts in social advertising videos, as they are aimed at drawing attention to current issues of society, moral values, and actualization of social problems. The text of social advertising itself creates a mood and image, forms the impression of the listener, observer or listener and further understanding of this information, which contains social advertising. Linguistic features of social advertising texts on a subconscious level affect the recipient, who must make the correct conclusion after watching a video of social advertising.

Inovasi dalam Manajemen Kurikulum untuk Menghadapi Era Digital

This research aims to identify innovations in curriculum management needed to face the challenges of the digital era through a literature study method. In the digital era, the integration of technology in the learning process has become a necessity to improve educational effectiveness. This study reviews various literatures that discuss innovative approaches in planning, implementing and evaluating technology-based curriculum. The results show that the use of educational technology, such as e-learning, digital platforms and project-based learning, can improve student engagement and learning effectiveness. In addition, continuous training for teachers to master the latest technologies and curriculum adjustments to suit the needs of industry 4.0 are required.

PUBLIC SECTORS IN PARTNERSHIPS FOR INFRASTRUCTURE RENEWAL: CHALLENGES AND OPPORTUNITIES

The author researched and analyzed the problems and possibilities of interaction between the state and public sectors in infrastructure restoration partnerships. Bureaucracy, financial constraints, insufficient interaction with the community and risks are identified as pressing issues that inhibit the effectiveness of infrastructure restoration. At the same time, consideration of the opportunities for interaction points to the significant benefits of innovative technologies, public- private partnerships, sustainability and social responsibility. The need for a comprehensive approach to overcoming problems and maximizing opportunities in the field of infrastructure restoration for the sustainable development of cities and regions is substantiated. Cooperation between the public and public sectors turns out to be an important factor for the successful development of infrastructure to solve the classic problems of bureaucracy and financial constraints. It is emphasized that the results of the study indicate that public involvement, effective risk management and the use of the latest technologies become the basis for creating a sustainable and efficient infrastructure that meets the modern requirements of society. This article serves as a practical overview and a challenge to develop strategies aimed at improving the interaction between sectors to achieve the common goals of sustainable development.

Towards a smart hospital: Smart infrastructure integration

In today’s business world, digital technologies have become vital for implementing processes in any company, including the healthcare industry. By utilizing the latest technologies to collect, process, analyze, and transmit data through smart devices and IT infrastructure, it is possible to implement trends in medicine as a value approach, personalization, predictability, and participation. Considering these trends, it is necessary to develop a methodology for creating a management system for medical organizations that can comprehensively and interconnectively develop various elements of the system. This includes business process systems, information systems and application architectures, hardware, and "smart" medical equipment that can fully participate in hospital information exchange. These elements should be developed within a single model. An architectural approach can be used to create a model of a medical organization. This paper examines the integration of smart infrastructure in medical organizations, develops requirements for smart infrastructure services, and creates architectural models based on the findings and requirements. Architecture models were developed for the following elements of the Smart Infrastructure: smart wards, wearable devices and telemedicine stands as the most necessary elements in everyday healthcare. The key discovery of the study is the architecture models of the mentioned elements and their integration with the medical organization IT architecture, described in the form of visual models and data exchange tables. The proposed models can be used both for further research or for practical implementation as the reference models to check up and adopt to each individual case. The solutions proposed in the paper give an example of open innovation philosophy, as they are developed on the basis of open information about the innovation activities of various medical organizations, and, at the same, time the results themselves are openly published and open for adaptation by the scientific and practicing medical community.

Exploring the Function of Epicardial Cells Beyond the Surface.

The epicardium, previously viewed as a passive outer layer around the heart, is now recognized as an essential component in development, regeneration, and repair. In this review, we explore the cellular and molecular makeup of the epicardium, highlighting its roles in heart regeneration and repair in zebrafish and salamanders, as well as its activation in young and adult postnatal mammals. We also examine the latest technologies used to study the function of epicardial cells for therapeutic interventions. Analysis of highly regenerative animal models shows that the epicardium is essential in regulating cardiomyocyte proliferation, transient fibrosis, and neovascularization. However, despite the epicardium's unique cellular programs to resolve cardiac damage, it remains unclear how to replicate these processes in nonregenerative mammalian organisms. During myocardial infarction, epicardial cells secrete signaling factors that modulate fibrotic, vascular, and inflammatory remodeling, which differentially enhance or inhibit cardiac repair. Recent transcriptomic studies have validated the cellular and molecular heterogeneity of the epicardium across various species and developmental stages, shedding further light on its function under pathological conditions. These studies have also provided insights into the function of regulatory epicardial-derived signaling molecules in various diseases, which could lead to new therapies and advances in reparative cardiovascular medicine. Moreover, insights gained from investigating epicardial cell function have initiated the development of novel techniques, including using human pluripotent stem cells and cardiac organoids to model reparative processes within the cardiovascular system. This growing understanding of epicardial function holds the potential for developing innovative therapeutic strategies aimed at addressing developmental heart disorders, enhancing regenerative therapies, and mitigating cardiovascular disease progression.

Calculation of electrical energy losses in distribution networks for power supply using oil and vacuum circuit breakers

A method for approximate estimation of load losses in distribution networks from 6 to 10 kV, as well as for lower voltage networks, has been proposed. The main advantage of this method is that the root mean square current is calculated only once for a series of calculations. This approach significantly reduces the time required for calculations and improves their accuracy, as it eliminates the need for multiple determinations of the root mean square current for each individual calculation. The proposed approach contributes to a better understanding of the influence of various factors on load losses, which allows for more effective planning and management of distribution networks. This is particularly important in the context of increasing loads on electrical networks and higher demands for their reliability and efficiency. In the calculation of electrical energy losses in distribution networks from 6 to 10 kV, methods that use generalized coefficients of electrical circuits and operating modes in the form of regression equations are widely applied. The most significant and independent factors, such as the input of active energy, total line length, number of line sections, total number of transformers, and their total installed capacity, must be taken into account and are included in the calculation equation. Additionally, the components used and their regular maintenance play an important role in electrical energy losses in electrical networks. The main direction of research is the optimization of distribution network parameters, taking into account the latest technologies and materials, as well as the implementation of automated monitoring and control systems that will allow timely detection and elimination of problems associated with electrical energy losses. The proposed method for estimating load losses in distribution networks is a promising direction for the development of the energy sector, which will contribute to improving the efficiency and reliability of electrical networks, as well as reducing the costs of their operation and maintenance.

Reimagining Accessibility: Leveraging Deep Learning in Smartphone Applications to Assist Visually Impaired People Indoor Object Distance Estimation

Every other aspect of life is organized around the sight. A person with vision impairment suffers severely from independent mobility and quality of life. The proposed framework combines mobile deep learning with distance estimation algorithms to detect and classify indoor objects with estimated distance in real-time during indoor navigation. The user, wearing the device with a lanyard or holding it in a way that positions the camera forward, identifies in real-time surroundings indoor objects with estimated distance and voice commentary. Moreover, the mobile framework provides an estimated distance to the obstacles and suggests a safe navigational path through voice-guided feedback. By harnessing the power of deep learning in a mobile setting, this framework aims to improve the independence of visually impaired individuals by facilitating them a higher degree of independence in indoor navigation. This study's proposed mobile object detection and distance estimation framework achieved 99.75% accuracy. This research contributes by leveraging mobile deep learning with identifying objects in real-time, classification and distance estimation, a state-of-the-art approach to use the latest technologies to enhance indoor mobility challenges faced by visually impaired people.

Integration of Mixed Reality Technology Into a Global Neurosurgery Bootcamp.

International bootcamps are important for providing access to advanced education and training to physicians around the world.In countries where resources are scarce, the opportunity to be exposed to advanced training and the latest technologies is limited. We set out to evaluate the educational value of integrating augmented reality (AR) into the curriculum of a global neurosurgery bootcamp. AR was integrated into this year's neurosurgical bootcamp in Hanoi, Vietnam, organized by the Foundation for International Education in Neurological Surgery (FIENS). Participants had not experienced this technology before a surgical adjunct.A study was conducted to evaluate how AR impacts the surgical approach to a cranial tumor for boot camp participants with limited neurosurgical experience. Without the use of AR, the majority of participants (66%) chose the incorrect surgical approach to a frontal tumor.However, after using AR to visualize the lesion in 3D, all participants chose the correct surgical approach.Additionally, participants were more precise when planning with AR as the distance from theskull insertion point to the tumor was significantly shorter with AR than without AR. This study demonstrated the potential of AR to improve the education and enhance the experience trainees have at international bootcamps.Importantly, it is our hope that industry involvement in these global initiatives continues to grow as it is critical for trainees in developing countries to be exposed to common as well as emerging medical technologies.

Improved breast milk proteome coverage by DIA based LC-MS/MS method.

The breast milk composition includes a multitude of bioactive factors such as viable cells, lipids and proteins. Measuring the levels of specific proteins in breast milk plasma can be challenging because of the large dynamic range of protein concentrations and the presence of interfering substances. Therefore, most proteomic studies of breast milk have been able to identify under 1000 proteins. Optimised procedures and the latest separation technologies used in milk proteome research could lead to more precise knowledge of breast milk proteome. This study (n=53) utilizes three different protein quantification methods, including direct DIA, library-based DIA method and a hybrid method combining direct DIA and library-based DIA. On average we identified 2400 proteins by hybrid method. By applying these methods, we quantified body mass index (BMI) associated variation in breast milk proteomes. There were 210 significantly different proteins when comparing the breast milk proteome of obese and overweight mothers. In addition, we analysed a small cohort (n=5, randomly selected from 53 samples) by high field asymmetric waveform ion mobility spectrometry (FAIMS). FAIMS coupled with the Orbitrap Fusion Lumos mass spectrometer, which led to 41.7% higher number of protein identifications compared to Q Exactive HF mass spectrometer.

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