Quick Access Research Articles

Web-Based Caricature Sales Information System Using the FAST Method

The use of information technology has become widespread throughout all sectors of society, including government, business, healthcare, and education. Dalis Art Medan is a digital art-focused online store that opened its doors in 2017. Dalis Art's current sales system still relies on Facebook and Instagram because it does not yet have e-commerce, which results in low sales. Reporting mistakes are common since Dalis Art sales transaction data is still manually entered. E-commerce has been suggested as a solution to Dalis Art's issue with developing its sales operation. The FAST (Framework for the Application of Systems Thinking) methodology is used in this study. The FAST technique incorporates system users more actively in each stage of system development, is more adaptable, can be produced with other methods, and can be customized to the author's standard demands. The goal of this study is to make it easier for customers to learn about and purchase products from Dalis Art. Benefits might give consumers quick access to information on the items in Dalis Art. The study's findings demonstrate how fast and accurately a web-based sales information system, including details on products, ordering procedures, and payments, can be accessible via this method.

Diastereo- and Enantioselective Synthesis of Highly Functionalized Tetrahydropyridines by Recyclable Novel Bifunctional C2-Symmetric Ionic Liquid–Supported (S)-Proline Organocatalyst

An efficient, novel bifunctional C2-symmetric ionic liquid–supported (S)-proline organocatalyst 7 was developed for a one-pot, five-component reaction involving β-keto esters 8, aryl aldehydes 9, and aryl amines 10, affording highly functionalized tetrahydropyridines 11a–o by simultaneous generation of fives bonds and two stereogenic centers with extraordinary diastereo- and enantioselectivities (up to >99:1 dr, 95:5 er) in isopropanol with high yields (up to 92%). This protocol provides quick access to diverse enantio-enriched, highly functionalized diastereo- and enantioselective tetrahydropyridines in a green medium without any column chromatographic purification. The catalyst was recycled five times without significant loss of its catalytic activity.

A Fractal Dimension Feature Model for Accurate 4D Flight-Trajectory Prediction

Accurate 4D trajectory prediction plays an important role in the sustainable management of future air traffic. Aiming at the problems of inadequate feature utilization, unbalanced overall prediction (OP) result, and weak real-time response in 4D trajectory prediction by machine learning, a fractal dimension feature-prediction (FDFP) model is proposed, starting from the airborne quick access recorder (QAR) trajectory data. Firstly, the trajectory features are classified and transformed according to the aircraft operation characteristics. Then, the long short-term memory (LSTM) network is used to construct the prediction model by fractional dimensions; based on the fractal dimension feature (FDF), the different combinations of influencing factors are selected as the feature matrix, and the optimal prediction model of each dimension is obtained. Finally, 671 city pair trajectory data are used to conduct simulation experiments to verify the accuracy and effectiveness of the model. The experimental results show that the FDFP model performs well, with the mean absolute error (MAE) of longitude and latitude both less than 0.0015°, and the MAE of altitude less than 3 m. Compared with the OP model, the MAE of the FDFP model in these three dimensions decreased by 92%, 81% and 79%, respectively. Compared with experiments without feature transformation, the MAE of the FDFP model is reduced by 75%, 82%, and 69%, respectively. Each prediction of the model takes about 30 ms, which satisfies the real-time prediction conditions and can provide a reference for air traffic operation assessment.

Urban mobility evolution and the 15-minute city model: from holistic to bottom-up approach

In recent years, urban planners have mentioned the importance of implementing alternative city models that encourage short trips and neighborhood-scale activities such as the 15-minute city model. Several studies show that improvements in the transportation networks encourage the citizens to move themselves into their neighborhoods’ borders. People seem to respond to these actions by increasing their visits to many local places such as restaurants, bars, sports centres etc. Even though during the post-covid era, people decreased significantly their movements, it is vital to encourage the creation of friendly for walking transportation networks inside the neighborhoods of the cities, based on the concept of the 15-minute city model. Large cities are becoming bigger and bigger as they offer many job opportunities. However, the massive peoples’ relocation in big cities has as a result the creation of huge transportation problems. Neighborhoods have been downgraded as they were not ready to offer several services in larger populations. The 15-minute city model is designed to ensure that each citizen has quick access (15 minutes on foot) to essential services of various types. Moreover, the implementation of the 15-minute city model demands the strengthening of transportation networks promoting sustainable solutions that can support the daily walking of the habitants. This paper focuses on a literature review of the implementation of the 15-minute city model in different big cities worldwide, starting from Paris where the model is indeed a well-suited concept and focuses to the need of a cultural change rather than urban planning. The research points out not only the fact that this model can help the neighborhoods to grow up socioeconomically but the fact that the citizens can cooperate with the local authorities and participate in the redesign of their neighborhood based on the 15-minute city model.

Online Parking with QR Code System

Parking is an under-appreciated issue that requires considerable consideration. Here, we propose the concept of developing a parking system to lessen the need for labour. Each Android-compatible smartphone has the capacity to read QR codes and scan them to retrieve a wealth of data. Quick Response code is referred to as a QR code. Due to their uniqueness, QR codes are utilised to assign spaces in real-time. The system authorises the vehicle by scanning the code of the one that is going to enter. After scanning, a space will be assigned to the user depending on availability and empty as soon as the vehicle exits the slot. By doing so, we will essentially use less complex technology and software to decrease human labour. This system will be in charge of authorization and spot selection. An online parking system that makes use of the ESP8266. A parking system is developed, this website allows the user to check vacancy spots. The device also assists in storing the user's information in a database, allowing for quick parking access, and thereby decreasing traffic congestion. The hardware is built with an ESP8266 and an infrared sensor. Furthermore, the system is managed by a website, which allows the user to keep track of changes regarding available parking spaces. On thing speak, a scalable and accurate database may be developed and hosted on a real-time application for data storage. The technology is an ideal companion for customers who want to check parking vacancy spots from faraway areas without wasting time and avoiding traffic congestion.

Changes in strategic responses of selected low budget airlines from different continents in response to the global Covid-19 pandemic

Purpose: The aim of this paper is to indicate changes in strategy, financial, hygienic and service behaviour in relation to customers and aviation personnel. These changes are a response to the global COVID-19 pandemic. Design/methodology/approach: The paper uses the desk research method of analysis. The analysis of publicly available values from the annual reports of selected low-cost airlines from six continents, i.e. Europe, Asia, North America, Australia, Africa and New Zealand and the examples described in the work made it possible to establish facts, verify data and present results. The research concerns not only the situation before and during the COVID-19 pandemic, but also predicts the future of individual companies. Findings: The considerations presented in the paper indicate that low-cost airlines representing individual regions of the world had utmost difficulties in adapting to the changing conditions which resulted from the COVID-19 pandemic. They needed government support. A third of the air fleet was grounded, many employees in the aviation sector lost their jobs or received only 50% of their wages; furthermore, international travel decreased significantly. Only the cargo sector, which had been unprofitable for years, benefited from the pandemic due to the transport of global cargo. Practical implications: Several types of support for the aviation sector are recommended, i.e. rebuilding passenger confidence in air transport, introducing a uniform and globally recognized digital COVID certification, and quick and affordable access to tests. Social implications: Social needs should always come first and implemented solutions should be adapted accordingly. Originality/value: The article is an original approach to finding solutions in crisis situations that could improve the situation of the aviation industry and its passengers. Keywords: airlines, world travel, airline staff during the pandemic, COVID-19, crisis management. Category of the paper: research paper.

Content-Rating Consistency of Online Product Review and Its Impact on Helpfulness: A Fine-Grained Level Sentiment Analysis

Aim/Purpose: The objective of this research is to investigate the effect of review consistency between textual content and rating on review helpfulness. A measure of review consistency is introduced to determine the degree to which the review sentiment of textual content conforms with the review rating score. A theoretical model grounded in signaling theory is adopted to explore how different variables (review sentiment, review rating, review length, and review rating variance) affect review consistency and the relationship between review consistency and review helpfulness. Background: Online reviews vary in their characteristics and hence their different quality features and degrees of helpfulness. High-quality online reviews offer consumers the ability to make informed purchase decisions and improve trust in e-commerce websites. The helpfulness of online reviews continues to be a focal research issue regardless of the independent or joint effects of different factors. This research posits that the consistency between review content and review rating is an important quality indicator affecting the helpfulness of online reviews. The review consistency of online reviews is another important requirement for maintaining the significance and perceived value of online reviews. Incidentally, this parameter is inadequately discussed in the literature. A possible reason is that review consistency is not a review feature that can be readily monitored on e-commerce websites. Methodology: More than 100,000 product reviews were collected from Amazon.com and preprocessed using natural language processing tools. Then, the quality reviews were identified, and relevant features were extracted for model training. Machine learning and sentiment analysis techniques were implemented, and each review was assigned a consistency score between 0 (not consistent) and 1 (fully consistent). Finally, signaling theory was employed, and the derived data were analyzed to determine the effect of review consistency on review helpfulness, the effect of several factors on review consistency, and their relationship with review helpfulness. Contribution: This research contributes to the literature by introducing a mathematical measure to determine the consistency between the textual content of online reviews and their associated ratings. Furthermore, a theoretical model grounded in signaling theory was developed to investigate the effect on review helpfulness. This work can considerably extend the body of knowledge on the helpfulness of online reviews, with notable implications for research and practice. Findings: Empirical results have shown that review consistency significantly affects the perceived helpfulness of online reviews. The study similarly finds that review rating is an important factor affecting review consistency; it also confirms a moderating effect of review sentiment, review rating, review length, and review rating variance on the relationship between review consistency and review helpfulness. Overall, the findings reveal the following: (1) online reviews with textual content that correctly explains the associated rating tend to be more helpful; (2) reviews with extreme ratings are more likely to be consistent with their textual content; and (3) comparatively, review consistency more strongly affects the helpfulness of reviews with short textual content, positive polarity textual content, and lower rating scores and variance. Recommendations for Practitioners: E-commerce systems should incorporate a review consistency measure to rank consumer reviews and provide customers with quick and accurate access to the most helpful reviews. Impact on Society: Incorporating a score of review consistency for online reviews can help consumers access the best reviews and make better purchase decisions, and e-commerce systems improve their business, ultimately leading to more effective e-commerce. Future Research: Additional research should be conducted to test the impact of review consistency on helpfulness in different datasets, product types, and different moderating variables.

Prospects for the development of internet business in the domestic transport industry

Information technology and digital economy present new opportunities for all sectors of the economy, including transport. Today, transport economics is undergoing fundamental changes as a result of the rapid development of information technology and its use is also very fast. Especially the dynamics of the development of informatics and its products and transport business development opportunities based on the use of Internet technology have enabled the growth of the role and importance of using information technology in business processes in terms of the new economy or digital economy. The world economy has changed due to the great development and application of this technology. Transport enterprises are forced to survive in a modern economy where the global market is characterized by competition, diversity of products and services and short cycle life of the product. In terms of the digital economy, information technology creates opportunities for specialization and cooperation between transport companies from different regions by reducing transaction costs, creating ease of access to foreign markets and facilitating the development of new models of electronic business. The purpose of this paper is to present the importance of information technology in economy of transport industry, computerization trends and the opportunities offered by this technology where consumers have quick and easy access on the global market of transport service, as well as in information about goods and services. In the condition of digital economy, the usage of information technology provide businesses with new opportunities to access global markets and also develop business activities on-line. The full realization of these potentials is essential for new transport enterprises and companies which can compete and create competitive advantage globally.

HOW EXCESSIVE EXPOSURE TO SCREENS AFFECTS CHILDREN'S DEVELOPMENT AND BEHAVIOUR

The negative effects of electronic screens and devices on children's healthy development and behaviors is the focus of many research and studies in recent years This is due to the significant change brought about by the technological revolution, as there is no longer a house without at least one smartphone Not to mention computers and electronic panels and, of course, without losing sight of television, all of these tools are accessible to children through quick and easy access without computing or censorship and without discrimination of the child's age, which poses a problem for his or her proper development on the one hand and what he or she can learn in swamps that are difficult even for specialists to remove from. overexposure of screens ". (TV, Smartphone, Electronic Board) by children, which increased in the coronavirus pandemic: - Language disorders (late speech, late language,...), - cognitive abilities disorder (memory, attention, focus,....), - Psychological disorders such as introversion, fear and loss of trust; - Low level of educational attainment; - impaired sight, altered brain neuron visibility, - Exposure to pornography, the child's acquisition of bad habits and degraded morals causing change and/or demolition of educational values; - Decrease in mental health and increase in stress. In these studies, we try to highlight the latest studies on the negative impact of screens on children to highlight the most important problems resulting from this, especially in both aspects of development and behaviour, by posing the following problems: How does children's exposure to screens (TV shows, electronic games, Internet) affect their development and behaviours?

TELEGRAM NEWS CHANNELS: OVERVIEW, AUDIENCE PREFERENCES, SPECIFICS OF FUNCTIONING

The article is devoted to the study of popular global news telegram-channels, their impact on society, and the identification of advantages and disadvantages of this media format. The article examines prominent news channels such as The New York Times, BBC News, The Guardian, CNN and Reuters. Their features and differences are analyzed, the positive and negative aspects of using Telegram channels to receive news and information are described. For the research, the audience was also surveyed about their experience of using news telegram channels and their opinion about the advantages and disadvantages of this media format. The article also provides advice on choosing reliable and objective news telegram channels and warns about the possibility of spreading propaganda and biased information in some channels. The results of the study showed that Telegram news channels are mostly popular among young people who are looking for quick and convenient access to information. Surveys of the audience showed that the majority of respondents consider such channels convenient and accessible for receiving news. However, the study also revealed the risks of providing biased and fake information by some Telegram news channels. Therefore, it is important for users to pay attention on the content of Telegram channels and check information from other sources. The study of popular global news Telegram channels was conducted using the methods of activity and content analysis, which made it possible to identify the prevailing topics, types of materials and the level of audience activity. In addition, the study found that content quality and journalistic standards differ from channel to channel. Telegram channels The New York Times, BBC News, The The Guardian and Reuters have received high marks from audiences and experts for the quality and independence of their information. The CNN Telegram channel also has high journalistic standards. So, the article contains valuable information for those who are interested in news and use Telegram channels as a source of information. It will help to choose the most high-quality and reliable channels, as well as to use them with maximum benefit and caution.

Financial literacy in the digital age—A research agenda

AbstractDigital innovations are transforming financial services and resulting changes in consumer behavior and personal money management. Diffusion of pervasive digital technologies offers individuals quick and easy access to various digital services bringing opportunities and challenges into their personal money management. The study aimed to explore how digitalization affects individuals' financial literacy and financial capability. As a result, we identified three main themes in the intersection of finance and digitalization: Fintech, Financial behavior in digital environments, and Behavioral interventions. We propose directions for measuring digital financial literacy, updates to the financial literacy curriculum, and developments of digital learning tools. Further, we highlight collaboration between the public and private sectors to create a fairer and more inclusive economic landscape. Our study contributes to existing research by proposing a framework for digital financial literacy and financial capability and a research agenda for future studies.

DEVELOPMENT OF MOBILE AND WEB APPLICATIONS IN THE CONTEXT OF UKRAINE'S DIGITAL TRANSFORMATION ON THE EXAMPLE OF DIIA

The article highlights the role of mobile and web applications in the process of digital transformation and their contribution to improving the comfort of citizens’ lives. It has been established that the availability of a convenient and accessible application can help improve the quality and speed of public and commercial services. In addition, the article provides recommendations for further digitalisation of the Diia app and the necessary measures for its further development. The market for mobile and web applications is highly competitive and rapidly changing, which results in some projects not reaching successful completion due to the large number of competitors and rapid technological development. There are also problems with data security standards in Ukraine and the lack of national legislation regulating the industry. One of the biggest challenges to the country's digital development is the level of digital literacy among the population, which limits access to digital technologies and services. In addition, there are problems with creating an infrastructure that supports the development of mobile and web applications. Also, there are often problems with creating competitive digital products that meet international standards and user requirements. The impact of the mobile application Diia on the digital transformation of Ukraine has been analysed in the article. It has been provided an overview of the application's functionality, its impact on various aspects of citizens’ lives, and considered the prospects for its development. Also there are some data on the development of mobile and web applications in Ukraine. It is noted that the mobile application Diia plays an important role in providing citizens with access to various public services in electronic form, which helps to improve the efficiency and convenience of service provision, reduce corruption and the cost of providing them. The features of the mobile and web application market have been identified. The importance of ensuring the quality and security of mobile applications has been considered. They give examples of shortcomings and problems that may arise when using such applications and consider possible ways to solve them. During the study it was identified what kind of specialists were needed for further digitalisation of the country. The development of mobile and web applications is an important factor in Ukraine’s digital transformation. In particular, the development of new applications and improvement of existing ones can help improve the efficiency of public services, provide citizens with convenient and quick access to various services, reduce the cost of providing them, and reduce corruption.

Digital poetics of contemporary Ukrainian literature: specifics of the QR code

In recent years, due to the constant need for quick access to virtual reality, the QR code has become one of the most important digital technologies. Today, it is actively used in various spheres of human activity, for example, the distribution of advertising or the creation of artistic works, including fiction books by Ukrainian authors. As a result, we can observe changes in the structure of classical literary genres and in the text itself. Thus, the relevance of the study lies in the need to comprehend the QR code as a new phenomenon in contemporary Ukrainian literature in the context of digimodernist poetics. This study aims to analyze the possibilities of using QR codes in contemporary Ukrainian literature and determine what materials they are used to access in prose and poetry. The object of the study is the collection of poems “Artery” by Dmytro Lazutkin, the novels “Radio Night” by Yuri Andrukhovych, “Footprints on the Road” by Valerii Markus (Ananiev), and “Mozart 2.0” by Dorje Batuu. The subject of the study is QR codes placed in these works. The study uses comparative, intermedial, and structuralist methods of analysis. The results of the study show that the validity of using a QR code depends on its location in the printed text, as well as on what information can be obtained by scanning it. A QR code can be printed on the front cover of a book (“Mozart 2.0” by D. Batuu), on the back cover of a book (“Radio Night” by Yu. Andrukhovych) or inside the book next to the text fragment to which it refers (“Mozart 2.0” by D. Batuu), on a page with an illustration next to a poem (“Artery” by D. Lazutkin), or as a link at the bottom of the page (“Footprints on the Road” by V. Markus). Usually, the information encoded in a QR code contains a link to a page on the Internet with additional visual, audio, or textual materials posted on it. The novelty of the research results lies in the identification of the main functions of additional materials that can be accessed after scanning a QR code in a literary work: interactive, illustrative, informative and plot-forming. Further research prospects may be related, in particular, to the analysis of the QR code as a new phenomenon in printed dramatic works, since this article has considered only prose and poetry.

Performance Analysis and Deployment of Partitioning Strategies in Apache Spark

Data is flourishing day by day to a large extent, the data that need to be analyzed are not just large, but it may be high dimensional, heterogeneous, complex, unstructured, incomplete and noisy as well. Apache Spark framework is used for high-performance computing of Big Data. The proper division of the dataset can impact the degree of parallelism achieved. In Apache Spark, partitioning techniques help to manage the dataset in a distributed fashion. The optimal number of partitions and associated data with these partitions ensures the appropriate storage and quick access to data. Inbuilt libraries and flexibility utilizing the available techniques help Apache Spark to divide the dataset as a convenience. In this study, partitioning techniques available in Spark have been discussed and implemented. The pros and cons of the partitioning techniques have been highlighted. Furthermore, the performance of partitioning techniques has been compared in terms of execution time which help to select the suitable partitioning strategy for the different jobs.

Neural networks for a quick access to a digital twin of scanning physical property measurements

A simple and fast construction of neural networks is shown to be useful for augmenting physical-property experimental data.

Descriptive Analytics and Interactive Visualizations for Performance Monitoring of Extension Services Programs, Projects, and Activities

Providing universities with high technology-enabled automation tools to support the administrative decision-making processes will enable them to achieve their objectives. For an institution to succeed in its everyday tasks, it should come up with the emerging and modernized management services constituted, among others, by cloud, mobile, and business analytics technology. With this, the institution’s operations and management efficiency are ensured. This study aims to develop a system with descriptive analytics named as MET Online Services that will automate and optimize the monitoring of extension services key performance indicators (KPIs) in order to help the institution in making better, data-driven decisions. The dashboards and interactive visualizations of the developed system will provide quick access to real-time progress of the extension services programs, projects, and activities. Results interpretation depicted that the developed system is indeed feasible for implementation, proven to be fully-functional and passed the quality software standards of a Certified Software Quality Assurance Specialist. As the developed system satisfied the users’ expectations and requirements, it would be an effective tool for the institution, extension services unit, and community, to make better strategic decisions and continuously deliver quality services to the community.

General outlook of the elaboration of nitrogen doped graphenic materials from the reaction between an amino alcohol and metallic sodium

Nitrogen-doped graphenic materials (N-Gr) are attracting increasing interest in the field of electrocatalysis, where their applications as noble metal-free catalysts or as catalyst supports are explored worldwide. Solvothermal-based processes are an efficient way to produce large quantities of N-Gr, without compromising their valuable properties. Reported in earlier publications, our elaboration route is based on a solvothermal reaction between various organic alcohols, e.g. cyclohexanol, ethanolamine, 1-(2-hydroxyethyl)piperidine, and metallic sodium, followed by a pyrolysis treatment under nitrogen flow. Rarely investigated in the literature mainly due to their complex mechanisms, the understanding of such processes opens many paths to tailor the properties of N-Gr, leading to high porosity (>2200 m2/g), good crystallinity, high purity, etc. The present article focuses on the influence of the solvothermal reaction experimental parameters on the final N-Gr, i.e. temperature, pressure, and sodium content. The elaborated materials are studied through multi-scale and complementary characterization techniques, i.e. Raman spectroscopy, thermogravimetric analysis, X-ray photoelectron spectroscopy, N2 adsorption at 77 K. An overview of the whole process follows the experimental part, giving quick access to optimized experimental parameters depending on the desired N-Gr properties, e.g. yield, crystallinity or porosity. By way of illustration, some trends were evidenced, such as (i) the larger conversion rate of solvent into crystalline carbon material as the reaction temperature is increased (300–380 °C), (ii) the increase of the surface area and the larger nitrogen content with increasing pressure (100–200 bar), and (iii) the beneficial impact of the sodium content on the yield and the material crystallinity (Na/solvent ratio 1–2).

РАЗРАБОТКА МОДЕЛИ ОМНИКАНАЛЬНОГО ЧАТ-БОТА ДЛЯ УПРАВЛЯЮЩЕЙ КОМПАНИИ

In today's world, process automation is a key factor for companies to work effectively. Management companies are faced with the need to provide customers with high quality service and quick access to the necessary information. In this regard, the development of chatbots to automate the processes of communication with customers is becoming an increasingly urgent task. An omnichannel chatbot capable of working in different communication channels will enable the management company to organize effective interaction with customers in solving various problems of providing public services. Thus, the development of an omnichannel chatbot for a management company, which will optimize the process of communicating with customers, is an urgent task in the world of digital communications.

Mobile Application Development for Disease Diagnosis based on Symptoms using Machine Learning Techniques

In recent times most of the people die due to unavailability of proper diagnosis and medical services. In such cases the patient doesn't have quick access to medical services or face difficulties in using them. This could be very helpful in those remote regions where proper medical services are not available in hand or the patient is in need of immediate medical attention. Therefore, we created a self-assessment application which uses the power of machine learning to predict around 40 diseases, based on the symptoms of the disease. In self-assessment it is important that the prediction from the model stays fairly accurate. The existing machine learning techniques suffer from various drawbacks, including decreased accuracy, which is of primary importance in such cases. Our proposed system diagnoses diseases from the symptoms using the following steps. Firstly, data preprocessing was done and then the data was passed through various machine learning classification models, like K Nearest Neighbor, Support Vector Machine, Decision Tree, Random Forest Classifier, Naïve Bayes and Artificial Neural Network. After performing hyper parameter optimization, the probability vectors of all the models are added and then divided by the number of models. The number of diseases to be shown on application screen depends on the threshold values. The predicted disease(s) is received from the model and they are sent back to the application, where they are shown to the user. Our model proves to be the best when compared to the existing models.

Microwave-assisted rapid synthesis of chiral oxazolines.

Chiral oxazoline compounds play an extremely important role in asymmetric synthesis and drug discovery. Herein a simpler, greener and more efficient microwave-assisted protocol to rapidly access chiral oxazolines is developed using aryl nitriles or cyano-containing compounds and chiral β-amino alcohols as starting materials. The reaction proceeds smoothly in the presence of a recoverable heterogeneous catalyst in either concentrated solution or under solvent-free conditions. The advantages of this method include rapidness, convenience, environmental protection, high atom economy, and excellent yields. The protocol should find wider application in the community in the future.