Reviewerly/exHarmony huggingface dataset:
Evolution of blockchain technology in sustainable supply chain management: a theoretical perspective

This article aims to identify the relationships and applications of blockchain technology in sustainable supply chain management and reverse logistics in the literature supporting recycling processes and the reuse of waste. The methodology was based on the planning and execution of a systematic literature review and the discussion of the results of the exploratory research. It was found that emerging technologies allow viable implementations of blockchain architectures in logistics networks, favouring sustainable processes, mitigating intrinsic problems in logistics networks, and allowing circular practices. However, the effective implementation of blockchain faces barriers such as low environmental awareness, disbelief in the effectiveness of this technology, and low technical capacity of human resources. Given the novelty of the subject, more scientific studies should be produced on the traceability of waste in recycling and reuse processes with evidence of the benefits associated with blockchain in the reverse and sustainable chain.
Exploring advantages and challenges of chatbot integration in human-robot interaction

The integration of chatbot technology into human-robot interaction has emerged as a transformative approach to foster seamless communication and elevate user experiences. This paper explores the convergence of chatbots with robotics, elucidating the benefits and challenges encountered in this integration. By enabling natural language processing capabilities, chatbots facilitate more intuitive and interactive communication between users and robots. This paper examines the advantages of this integration, such as 24/7 availability, scalability, and improved efficiency, while highlighting challenges such as contextual understanding limitations, language dependencies, and ethical concerns regarding data privacy. Moreover, it delves into the implications of leveraging chatbots in diverse applications, including customer service, healthcare, and education. By comprehensively analyzing the landscape of chatbot integration in human-robot interaction, this paper aims to provide insights into maximizing the advantages while mitigating the challenges, thereby paving the way for more effective and engaging interactions between humans and robots.
An analysis of various crypto coins and their suitability for real-time applications

The financial software has expanded to include cryptocurrencies, which are seeing rapid adoption and are being positively received by critics. Mining is an essential part of these systems, which use a distributed ledger to store data in a trustworthy manner. The decentralized ledger, known as the blockchain is updated with information on prior transactions when mining is performed. Users are allowed to arrive at a reliable and robust agreement for each transaction. Mining can result in the generation of new wealth in the form of monetary assets, such as currency. Because cryptocurrencies were conceived from the outset to operate as decentralized, peer-to-peer networks, there is no centralized authority that can supervise the monetary transactions that take place using these currencies. Miners are accountable for ensuring that the transactions they are processing are legitimate. For crypto currencies, mining algorithms that are both dependable and strong are a fundamental must. This paper provides a comprehensive summary of crypto coins, specifically Bitcoin, Ethereum, and Litecoin, and an analysis and critique of the previous research on crypto currency trading that has been published. This paper presents a classification system that could be applied to both wellestablished standards and newly developed concepts.
Counterfeit currency detection using machine learning

This paper addresses the pervasive issue of counterfeit currency through a comprehensive approach integrating advanced image processing techniques and machine learning algorithms. The methodology encompasses crucial stages, including image comparison, segmentation, edge detection, feature extraction, and grayscale conversion, coupled with the implementation of machine learning models such as K-Nearest Neighbors (KNN), Convolutional Neural Network (CNN) and the efficient MobileNetV2. In tackling the challenge of counterfeit currency, image processing techniques play a pivotal role by enabling the extraction and analysis of distinct features. From isolating patterns through segmentation to refining with edge detection and feature extraction, these techniques enhance the identification of intricate characteristics inherent in legitimate banknotes. Grayscale conversion further standardizes the representation for effective processing.
Preventing cyber attacks using artificial intelligence

This paper explores the utilization of artificial intelligence (AI) in preventing cyber attacks across various domains of cybersecurity. It discusses different applications of AI in cybersecurity, including intrusion detection and prevention, threat hunting, vulnerability assessment, and fraud detection. Various AI techniques, such as anomaly detection, machine learning, natural language processing, and predictive analysis, are highlighted within each application area. The paper examines specific AI-driven cyber-attack methods such as phishing attacks, voice impersonation, and the use of chatbots. The study concludes with a comparative analysis of intrusion detection methods, highlighting the effectiveness of AI-driven approaches in identifying intruders and instances of attacks, especially those with unique characteristics. The paper underscores the importance of using AI in cybersecurity defense strategies to combat evolving cyber threats effectively.
Trainable Noise Model as an Explainable Artificial Intelligence Evaluation Method: Application on Sobol for Remote Sensing Image Segmentation

eXplainable Artificial Intelligence (XAI) has emerged as an essential requirement when dealing with mission-critical applications, ensuring transparency and interpretability of the employed black box AI models. The significance of XAI spans various domains, from healthcare to finance, where understanding the decision-making process of deep learning algorithms is essential. Most AI-based computer vision models are often black boxes; hence, providing the explainability of deep neural networks in image processing is crucial for their wide adoption and deployment in medical image analysis, autonomous driving, and remote sensing applications. Existing XAI methods aim to provide insights about the methodology used by the black-box model in making decisions by highlighting the most relevant regions within the input image that contribute to the model's prediction. Recently, several XAI methods for image classification tasks have been introduced. In contrast, image segmentation has received comparatively less attention in the context of explainability, although it is a fundamental task in computer vision applications, especially in remote sensing. Only some research proposes gradient-based XAI algorithms for image segmentation. This paper adapts the recent gradient-free Sobol XAI method for semantic segmentation. To measure the performance of the Sobol method for segmentation, we propose a quantitative XAI evaluation method based on a learnable noise model. The main objective of this model is to induce noise on the explanation maps, where a higher induced noise signifies low accuracy and vice versa. A benchmark analysis is conducted to evaluate and compare the performances of three XAI methods, Seg-Grad-CAM, Seg-Grad-CAM++ and Seg-Sobol, using the proposed noise-based evaluation technique. This constitutes the first attempt to run and evaluate XAI methods using high-resolution satellite images. Our code is publicly available at GitHub.
Digital Learning Vocabulary Through Modern Boarding School System and Implementation in Daily Conversation

Vocabulary is all words in the language that have different meanings and are used for the composition of a language. Vocabulary is divided into two types in daily use, namely active and passive vocabulary. Active vocabulary is words that are ready to be used and can be clearly understood by both the speaker and the listener, while passive vocabulary can only be understood by certain groups, such as conversations between a profession or a particular group of individuals. The conclusions of this research are among others, the distribution of vocabulary is carried out every morning without any holidays, the method used is direct and written so that the vocabulary that is distributed is not lost and the students can repeat it another day. Some of the obstacles experienced by the students in learning vocabulary include difficulties in memorizing, shyness and laziness in learning making the potential of the students not optimal in learning vocabulary.
The Process of Learning English Speaking Skills in Nursing Class

Learning English for nurses is very important because there are many English terms that nurses must know. In addition, for career needs it is also necessary that someone can speak English. Therefore, learning English for nursing is important. This research was case study in qualitative research. its assumed that this study aims to find out the way nursing students learn speaking skills. This research was conducted at a private university in South Kalimantan. In the English class of students majoring in nursing class of 2021, The findings from this study used interviews with two nursing students and one English lecturer who taught nursing classes. The results found that the process of students learning English was quite diverse. because by mastering a foreign language when they carry out their duties as medical personnel they have no difficulty communicating. It can be concluded that the way students learn speaking for the nursing profession is quite diverse, some use strategies through the habit of watching English films, some use materials from lecturers to improve their speaking skills.
Video Game-based Digital Learning in the Development of Vocabulary Knowledge

The use of technology in learning is a necessity. One of the technologies that can be used in learning is video games because of their proximity to students. This study aims to describe the development of video game-based learning in learning English vocabulary. The approach used in this research is descriptive qualitative. The data in this study were collected by interview method. The findings resulting from this research are in the form of video games that are played by many students and can add to students' English vocabulary, namely video games in the form of online games such as Clash of Clans, RPG Toran online, and PC games in the form of FIFA 23. These games can help students improve vocabulary. English words through the hint language and the notifications that are in it. However, this method has a weakness in the form of unorganized vocabulary that students learn through video games and each student has a different level of vocabulary mastery according to the video game he likes.
Utilizing the Picture Describing Strategy for Enhancing Speaking Skills in Teaching

This research focuses on exploring the effectiveness of the Describing Picture Strategy in teaching speaking skills to students. The study aims to enhance students' English-speaking abilities by employing visual aids such as pictures during the learning process. The qualitative research design was utilized, and data were collected through interviews and observations with an English teacher at SMK Muhammadiyah 1 Banjarmasin. The findings demonstrate that using pictures as speaking prompts can improve pronunciation, vocabulary retention, and overall language confidence. Additionally, picture-based activities engage students and create a more enjoyable learning experience. The study recommends that English teachers integrate the Describing Picture Strategy in their teaching approaches to foster active classrooms and enhance students' interest and proficiency in speaking English. However, the research acknowledges the need for further investigation to address certain limitations and refine the strategy for optimal results.
The Future of VR-Based Video Games in Indonesia

VR devices are now part of the world’s gaming industry. VR is here to make the gaming experience more immersive. The potential for these VR devices to play video games is huge, but it is very rarely found and used by gamers in Indonesia. VR devices are more often used found in campus computer laboratories for experimentation, or as a learning process, and the gamers in Indonesia also don’t see VR devices as a new medium to get new experiences in playing games. This paper raises several issues regarding the future of VR in Indonesia.
Prospects of Trade Management System (TMS) in Nepalese Stock Market: Evidence from Structural Equation Modelling

This paper attempts to get opinions from the TMS users about its performance along with its main barriers in Nepalese stock market. Signaling theory and explanatory research design are adopted to seek causal relationship amongst online stock traders in Kathmandu valley. Following convenient sampling technique, 316 TMS users were interviewed with structured questionnaire; where data collection is done by using Kobo Toolbox. Structural Equation Modelling (SEM) is used to see the prospects of Trade Management System amongst TMS users using SPSS and SPSS AMOS software. Findings indicate that volume signals and online trading are significant causal relationship to investment behavior of TMS users in Kathmandu Valley which support Signaling Theory. Therefore, online trading would emerge as a more reliable investment platform and will provide large-scale investment possibilities in Nepalese stock market.
A NEW APPROACH FOR THE IMAGE ENCRYPTION USING AES CIPHER IN ECB MODE

The field of secure digital communication and data security has placed significant emphasis on the issue of image encryption. The present work introduces a unique methodology for improving image encryption by utilizing the Advanced Encryption Standard (AES) cipher in the Electronic Codebook (ECB) mode. The suggested methodology leverages the inherent resilience of AES while integrating a novel DNA-segment-based augmentation to reinforce the encryption process. This technique aims to mitigate the constraints associated with the Electronic Codebook (ECB) mode in picture encryption, with the ultimate goal of attaining an elevated standard of security and confidentiality. The efficacy of the suggested methodology is assessed through extensive experimentation, illuminating its potential to offer a sophisticated kind of image encryption that is well-suited for contemporary data security concerns.
ANALISIS SISTEM INFORMASI YANG ADA PADA DINAS KOMUNIKASI DAN INFORMATIKA KABUPATEN LAMPUNG UTARA

The system can be defined as an organized component or variable that interacts with each other to carry out the same goal, resulting in input, output processing. Analysis of Information Systems at Diskominfo North Lampung is part of the use of developing a system, especially Diskominfo North Lampung has four main areas, namely, E-government, Statistics, coding, and infocomm, all of which are interrelated, the analysis is carried out using interviews and direct observation methods, The purpose of this analysis is to determine the performance of information systems in each field in Diskominfo North Lampung, especially in conveying information. As a result of these observations, there are several things that must be addressed, ranging from manual archiving which should be converted to digital, the delivery of information should follow media trends and submission of problems in the scope of the website. From the analysis carried out, it produces an output in the form of advice on the livelihood of information media in accordance with trends and prototypes of the Appoinmen system that will be used as a means of consultation about website problems within the North Lampung agency with the instruments used Flowcard, user and admin data, and the figma application UI/UX design software Appointment.
Preparedness for Academic Excellence in Higher Education through BPO

COVID-19 Pandemic has been a very serious problem worldwide. It has damaged all economic germinate areas. Also the Nepalese higher education field has been disturbed. Our teaching and learning methodologies are conventional. Additionally, politicians, policy makers do not want to change and adopt new concept with high-tech. Academicians and administrative staff are thinking positively, but those people are not techno friendly so that in crucial time they are resistant to change. Still, these situations create a big opportunity in Nepal; thus, the higher education sector would apply the BPO technique to provide quality education for their students with low budgets.&#x0D; This study focuses on how to professionally manage teaching and learning service delivery over the public or private networks to help students use ICT effectively and efficiently. It is a new concept in the education field of Nepal, but developed countries have practiced from last decade. The 21st century is more competitive, and challenges and opportunities come together, where we live in a boundary-less small village appropriate to the speedy of ICT. Through the use of outsourcing (offshoring), stakeholders can take more benefits than the usual method. Especially BPO procedure helps teachers, students, and organizations to meet international standards throughout academic excellence and smooth operation.
Role of English Language for Business Activities at the Present Era of Global Marketing

In this era of globalization, English is an essential language for global business and marketing. When we discuss "globalization," either explicitly or implicitly, the English language is brought up. People all across the world use English for reading, writing, and speaking. An estimated 2 billion people speak English, which is recognized as an official language in several nations. English is a subject that many schools and organizations around the world require pupils to take. Additionally, it is a key topic in college-level courses. Communication in trade, education, and business is frequently conducted in English. It is referred to as the lingua franca or the universal tongue. To participate in the international job and research markets, one must be able to speak and write English. The majority of significant books and films are written and produced in English as their primary language. As a result, we learn more about the English language and appreciate it more. The results of this study demonstrate that during the time of British colonial rule, the English language has played a key role in education and economic operations all over the world. In order to travel or study abroad in the modern world, English proficiency is a requirement. With the information and communication procedures that individuals utilize to interact in this era of globalization, writing competence in English is crucial. As a result, the goal of this essay is to highlight the significance of writing in proper English and several reasons why mistakes can be made while writing business communication documents. Also, this is a qualitative study, and the technique of data collection involved some writing assignments, followed by interviews with some bachelor level students of Baglung. Writing faults in the students' work were discovered by an essay exam. The flaws are analyzed, and the need of learning grammar principles is addressed. A small number of researchers' publications are examined to support this research report. This research is unique in terms of value.
CRITICAL THINKING OF “DIGITAL NATIVES” GENERATION

The main question presented in this paper is “Is critical thinking typical for the current generation of young people, the so-called “digital natives”? Having considered the views of researchers on the term "critical thinking", the author's definition is given as "a system of mental states, processes aimed at developing an assessment." It is emphasized that the theories of the activity approach and evaluation activities can be the basis for studying this aspect. It is noted that, despite the declaration of mandatory work on the formation of this type of thinking among students at all levels of national education, the study of the judgments of representatives of the generation of "digital natives" from the point of view of critical thinking revealed a weak degree of understanding of the relevance, essence of this type of thinking, and also, in most cases, the lack of skills in its operations. It is emphasized that clip perception, characteristic of the modern generation of young people, hinders the development of critical thinking. Based on the study, a conclusion is made about the need for targeted educational work with an emphasis on the development of students' critical thinking. Some methods of work are given.
EXPERIENCE IN ORGANIZING AN ECO-EDUCATIONAL PROJECT WITHIN THE FRAMEWORK OF EDUCATIONAL WORK WITH STUDENTS IN HIGHER EDUCATION

The article is devoted to the problem of eco-educational events organizing in higher education organizations of the Ministry of Internal Affairs of Russia. The material for the study was the results of the project activities implementation within the framework of a problem-oriented approach on the example of a specific eco-educational event – the ecological forum "Disposable Planet". The study used general scientific inductive methods, the method of analysis and the search method. The relevance of the topic is due to a number of factors: the actualization of the educational component, the complex environmental situation of the modern world, the weak development of environmental competencies among young people. The paper presents a brief analysis of Russian and foreign scientific literature on the problem of project-based learning in general and the features of environmental education in the form of project activities, in particular. The author presents and analyzes the experience of organizing an eco–educational project - the ecological forum "One-time Life", held in March 2022 based on the East Siberian Institute of the Ministry of Internal Affairs of Russia. The relevance and educational orientation of the event in the system of higher education and youth education, as well as in educational institutions of higher education of the Ministry of Internal Affairs of the Russian Federation is determined. The practical experience of the implementation of this project and its main results are presented. The main target audience were students of the Institute of 1-4 courses of full-time faculties. The forum allowed to reach 25 people, increase the knowledge, skills and abilities of the forum participants in three areas of environmental education, develop six projects to conduct environmental education events at the university, as well as attract other persons to cooperate with the institute as part of its greening.