Reviewerly/exHarmony huggingface dataset:
Prospective Science Teachers' Information Literacy and Scientific Argumentation Skills in Online Learning During COVID-19 Pandemic

This study aims to analyze prospective science teachers’ information literacy and scientific argumentation skills and their correlations in online learning during the COVID-19 pandemic. This survey research with a cross-sectional design involved 342 students from a state university in Surabaya. The survey was given online to all respondents with a response rate of 77%, consisting of 23 men and 241 women. The information literacy skill instrument was adapted from the eight indicators of the empowering eight model and declared valid. Indicators include the ability to identify, explore, select, organize, create, present, access input, and use information. The argumentation skills instrument consists of four indicators: the ability to identify claims and their qualifications, identify types of data and their quality, identify reasons and quality, and identify objections and counter-arguments. In contrast to the results of previous studies in this study, prospective teachers’ information literacy obtains an average of 83% in a good category. Based on the correct answers to the four indicators, the argumentation skills used obtained an average score of more than 50% on the less and very poor criteria. Based on the SPSS one-tailed correlation test, a correlation coefficient of 0.103 is obtained with very low criteria. This study concludes that students’ information literacy skills are in line with their argumentation skills but in very little correlation.
A Content-based Movie Recommendation System

In this paper, we describe a content-based movie recommendation system and provide an overview of the movie recommendation systems in today's market. Our findings show 1): Summary-Based and Feature-Based movie recommendation systems will provide different recommendation results. 2) Combined recommendation systems result is consistent with the Summary-Based recommendation system but different from the Feature-Based recommendation system. Based on our recommendation system, we also made some innovations and fusion and conducted several control tests to improve the quality of our recommendations.
Flowing through Virtual Animated Worlds – Perceptions of the Metaverse

In our daily lives in modern societies, our reality and the perceptions and perspectives that we have about it, are constantly being transformed or shaped by technology. Different types of technology influence our representations, whether physical, social, or virtual. So, we must learn to live along with it. How far and how deep can we go? How aware are we of the time we spend in virtual immersion, and of the significance of the metaverse? To find out possible answers to these questioning, we need to consider a previous and critical question: How do we perceive the metaverse? This is our starting point - or research question. (To go further, we should also research about how we are linked (or submerged) in the metaverse.) The aim of the present study is to explore how the metaverse is present in our everyday - considering an adult population - and what are our perceptions about it. It consists on a documental analysis - or meta-analysis - of 15 of the most relevant scientific papers (according to some inclusion criteria), published in the last 2 years, using the Iramuteq and WordCloud MonkeyLearn Software to determine and model the main themes and associated concepts with the metaverse, linked to virtual reality, animation or gaming - this is important in order to establish possible associations between these topics, and analyze, in a broader way, the metaverse. Initial results suggest that people use and consider virtual reality - and the metaverse - as a means of socializing and communicating, inseparable from their daily lives, whether at a playful, learning or even professional level. This exploratory study gave us important findings about the perceptions of the metaverse and clues to verify links between it and the associated themes. Our results will not just help us understand which topics can be more deeply investigated, but also be useful for us to verify the most relevant research items to be considered in a PhD project in preparation.
Knowledge Management Systems for Smart Services: A Synthesis of Design Principles

Smart services have become increasingly important in the last few years. The provision of smart services combined with product portfolios is advantageous because individual contexts of customers who use the products are addressed. While various and frequently changing data are collected and analyzed, specific knowledge is necessary to turn data into valuable information. A knowledge management system (KMS) adapted to requirements of provided smart services is necessary to aggregate, maintain, and provide knowledge. With a comprehensive literature review over 157 papers, we extracted requirements for KMS for smart services (Smart Service KMS). We present ten design principles derived from the requirements focusing on how tailored Smart Service KMS can be designed. We contribute to the theory by providing an overview about crucial requirements of Smart Service KMS. Practitioners can use our design principles to develop efficient Smart Service KMS.
Application Gas, Implementation ICS, and CAF on QFR With HRC Moderating Variable

This study aims to determine the effect of the application of Government Accounting Standards, the application of Internal Control Systems and Completion of audit findings on the Quality of Financial Statements with Competence of Human Resources as a moderating variable. The research design method uses a survey method with data collection methods using a questionnaire. The population in this study were employees of 32 financial administration employees in the Regional Work Unit (SKPD) of Lahat Regency, using a purposive sampling technique, so that 90 employees were selected as the research sample. The analysis technique used is SmartPLS software version 4.0.8.5. The results of the analysis show that simultaneous and partial testing, the application of Government Accounting Standards, the application of the Internal Control System and the completion of audit findings have a significant effect on the quality of financial reports. Meanwhile, the competence of human resources is not able to moderate the influence between the application of Government Accounting Standards, Internal Control Systems and completion of audit findings on the Quality of Financial Statements. The coefficient of determination is 92.5 percent, while the remaining 7.5 percent is explained by other variables.
Application and Analysis of Remote Sensing Image Processing Technology in Robotic Power Inspection

Along with the increase of electricity consumption in society, it means that the quality of power inspection gives higher requirements. The traditional manual inspection method is difficult to ensure the stability of checking quality. Without the popularization of manned distribution stations and smart grid methods, replacing manual inspection with electric power inspection robots can improve the inspection quality and inspection efficiency to a certain extent. Along with theimage processing process which is widely used in the robot system, visual impact is not only an effective way for us to obtain information but also the key reflection of the robot system intelligence. Unmanned aircraft as an extremely important robot has long been widely used in all walks of life. Power inspection is the most common use of unmanned aircraft robot inspection. However, due to extreme criteria such as bad weather, relative motion, and shaking of imaging equipment, inspection images are obtained ambiguously. The quality of the inspection image is related to the timely understanding, analysis, and judgment of the power engineering quality inspection database. In the paper, the unmanned aircraft power inspection robot as a scientific research foothold, according to explore the key technology of anti-internet technology to clear the image ambiguity, proposed a complete disambiguation optimization calculation method. The image denoising optimization calculation method based on the directional characteristics of time-frequency analysis and edge maintenance is selected to carry out the finding of the image, which reasonably solves the image resolution bottleneck problem of GIS in unmanned aircraft robot line inspection. Meanwhile, with the emergence of nanorobots in the 21st century, the application and analysis of remote sensing image processing technology in the field of robotic power inspection in this paper will also bring new vitality and vigor to the research of nanopower inspection robots and solve the problem of unclear images existing in nanorobots.
Simulation of state transfer from atom to cavity radiation in atom-photon interaction in large detuning

In this research, atom-cavity entanglement in closed Jaynes – Cumming model has been used with the assumption of large detuning between atom and cavity, to simulate the state transfer from atom to cavity radiation. A two-level atom which is prepared in a half-half superposition between the ground and excited states, has been exposed to initially coherent radiation field which is far from resonance with the atom. Mixture of each subsystem, linear entropy, entanglement, Von Neumann entropy and Schmidt decomposition of composite system as a function of time, has been determined analytically, for the first time. Assuming large frequency differences between atom and radiation, the simulation is shown no energy is transferred between atom and radiation due to large detuning, even though atom-radiation entanglement took place. Also, it has been shown that a particular measurement on the atom in this composite entangled system, can project the composite system into a separable (non-entangled) state so that the radiation state is changed into a superposition of the coherent state which is called the cat state. The conditions required to transfer radiation into odd and even cat states have been particularly investigated.
A Content Analysis of the Social Studies Textbook on the Changes in Korea’s Low Birth Rate and Aging Policy: Focusing on the Basic National Plan for Low Fertility and Population Ageing and Middle School Social Studies Textbooks under the 2015 Revised Curriculum

본 연구는 한국의 중학교 사회교과서에서 저출산⋅고령화 문제를 어떻게 접근하고 있는지, 어떤 문제점이 있으며 향후 개선 방향은 무엇인지를 분석하는 것을 목적으로 한다. 지난 약 20여 년간 한국의 저출산 · 고령화 정책은 ‘노동력 · 생산력’의 패러다임에서 ‘삶의 질 제고’ 패러다임으로 전환되어 왔다. 본 연구에 의하면 2015개정교육과정에 따른 중학교 사회교과서는 이러한 변화를 충분히 반영하고 있지 않다. 첫째, 교과서에 제시된 저출산 · 고령화 내용 기저에는 개인을 국가 발전을 위한 노동력으로 인식하고, 노인들을 사회적 부담으로 보는 인식이 깔려있었다. 둘째, 저출산 · 고령화를 유발하는 요인 역시 여러 요인들을 병렬적으로 나열했을 뿐 학생들이 한국 사회구조와 연결하여 원인을 분석하도록 안내하고 있지 않다. 셋째, 저출산 · 고령화 문제에 대한 대응에 관한 내용 역시 국가경쟁력을 우선시하는 성장주의 관점에서 벗어나지 못했다. 넷째, 지리와 일반 사회 영역의 저출산 · 고령화 내용은 유사한 관점과 내용으로 조직되었다. 향후 저출산 · 고령화 현상에 관해 일반사회 영역은 한국 사회구조와의 관계를 중심으로 구성하고, 지리 영역은 지역 불균형 문제와의 관계를 중심으로 조직함으로써 차별화할 필요가 있다. The purpose of this study is to examine how middle school social studies textbook under the 2015 revised curriculem approaches t he l ow b irth rate and aging problems in Korea, to identify the weaknesses of the textbook in dealing with these issues, and to suggest future directions of improvement. In the last 20 years, the dominant paradigm of the government’s low birth rate and aging policy in Korea has changed from “labor and productivity” to “improvin quality of life.” According to our analysis, the middle school textbook does not fully include this change. First, the description on low birth rate and aging population is based on the perception that individuals are viewed as labor for national development, and the perception that the elderly are viewed as a social burden. Second, a couple of factors causing low birth rate and aging are simply listed in parallel, but the description does not guide students to analyze the relationship between low birth rate · aging and social structure. Third, Efforts to solve the problem of low birth rate and aging are also described from an economic perspective that emphasizes national growth. Fourth, the contents of low birth rate and aging in the geography areas and general social studies areas are overlapped with similar perspectives and contents. When publishing social studies textbooks according to the 2022 revised curriculum, the geography area should be organized to analyze the relationship between low birth rate · aging and regional disparity, and the general social studies area should be organized to analyze the relationship between low birth rate⋅aging and social structure.
An Evaluation of Power Consumption Gain and Security of Flexible Green Pool Mining in Public Blockchain Systems

This paper proposes a variant of the recently reported pool mining approach and provides a reduction in the energy that is consumed by the blockchain consensus protocol. The novelty of the proposed architecture lies in the employment of an innovative cryptographic puzzle that is based on stream ciphering. This enables flexibility in setting the difficulty parameter of the protocol, and allows for the separation of the energy and memory resources that are required for the puzzle solving. The proposed approach provides high resistance against the following malicious activities of miners in public blockchain systems: (i) the submission of fake work and fictitious computation results; and (ii) some well-known attacks that target the blockchain incentive mechanism. We experimentally evaluate the power consumption of the proposed consensus protocol and compare it with the traditional proof-of-work protocol based on hashing. The obtained results point out the gain that the proposed pool mining provides compared with the traditional types.
Application of Computational Thinking Based on Moral Machine for Digital Citizenship Education

본 연구는 사회과 교육에서 디지털 시민성 교육의 목적을 달성하기 위해서 디지털 테크놀로지라는 도구적 측면에 주목하였다. 오늘날 디지털 테크놀로지는 인터넷, 스마트폰 등과 같은 디지털 장비와 인공지능, 빅데이터 등이 구성하는 소프트웨어처럼 그 종류가 다양한데 결국 데이터와 알고리즘에서 비롯되며, 이를 이해하고 활용하기 위해서는 컴퓨팅 사고가 선행되어야 한다. 따라서 본 연구에서는 컴퓨팅 사고를 통해 데이터와 알고리즘을 경험하고 학습하는 데 효과적인 모럴머신을 적용한 사회과 수업을 설계하고 그 효과성을 분석하였다. 수업의 효과의 분석은 객관성을 확보하기 위해서 설문지를 활용한 양적 분석과 삼각측정법을 활용한 질적 분석을 병행하였다. 연구결과에 따르면 먼저 컴퓨팅 사고는 디지털 시민성을 구성하는 요소 중 도구적 사용의 성격이 강한 ‘디지털 리터러시’를 함양시키면서 다른 디지털 시민성 구성요소들과 긍정적으로 상호작용하는 것으로 나타났다. 또한 이러한 교수 · 학습 방법은 학생들의 입장에서 디지털 시민성에 대한 흥미와 관심을 불러일으키며, 교사의 입장에서 디지털테크놀로지를 활용한 융합교육의 방법으로서 디지털 시민성 교육의 가능성을 생각하는 기회를 제공하는 것으로 나타났다. This study focused on the instrumental aspect of digital technology to achieve the purpose of digital citizenship education in social studies education. Today’s digital technology is of various types, such as digital equipment such as the Internet and smartphones, and software composed of artificial intelligence and big data. Therefore, in this study, a social studies class that applied a moral machine that was effective in experiencing and learning data and algorithms through computational thinking was designed and its effectiveness analyzed. In order to secure objectivity, the analysis of the effect of the c lass was carried out in parallel with the quantitativ e analysis using the questionnaire and the qualitative analysis using the triangulation method. According to the results of the study, first of all, computational thinking positively interacts with other components of digital citizenship while cultivating ‘digital literacy’, which has a strong character of instrumental use among the elements that make up digital citizenship. In addition, these teaching and learning methods aroused interest and interest in digital citizenship from the students’ point of view. From the teacher’s point of view, it was found that it provided an opportunity to think about the possibility of digital citizenship education as a method of convergence education using digital technology.
Security and Immutability of Open Data in Healthcare

Clinical data are sensitive data given the origin of the information. Since the implementation of health information systems, some issues such as interoperability, security, and privacy have been strongly questioned. Storing and consulting them raises the same concerns. Given these concerns, any attempt to introduce healthcare information systems must guarantee the security and privacy, integrity, and immutability of patient information. It is in this sense that blockchain technology and the openEHR open data model appear, as they manage to guarantee interoperability between systems, data security and guarantees about queries of each stored data. In order to understand how to increase security and immutability in an implementation of open data models in hospitals, two distinct architectures were developed. In these architectures, several performance tests were carried out. To understand which of them represents more value to a health institution, an analysis of the results was prepared and, consequently, a discussion about them was held to be able to draw the respective conclusions.
IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems

Distribution drift is an important issue for practical applications of machine learning (ML). In particular, in streaming ML, the data distribution may change over time, yielding the problem of concept drift, which affects the performance of learners trained with outdated data. In this article, we focus on supervised problems in an online nonstationary setting, introducing a novel learner-agnostic algorithm for drift adaptation, namely importance weighting for drift adaptation (IWDA), with the goal of performing efficient retraining of the learner when drift is detected. IWDA incrementally estimates the joint probability density of input and target for the incoming data and, as soon as drift is detected, retrains the learner using importance-weighted empirical risk minimization. The importance weights are computed for all the samples observed so far, employing the estimated densities, thus, using all available information efficiently. After presenting our approach, we provide a theoretical analysis in the abrupt drift setting. Finally, we present numerical simulations that illustrate how IWDA competes and often outperforms state-of-the-art stream learning techniques, including adaptive ensemble methods, on both synthetic and real-world data benchmarks.
Quantum angle encoding with learnable rotation applied to quantum–classical convolutional neural networks

Quantum Machine Learning (QML) has experienced rapid progress in recent years due to the development of Noisy Intermediate-Scale Quantum (NISQ) devices and quantum simulators. Two key elements must be minimized To maintain acceptable computational complexity in QML: the number of qubits required to encode classical data and the number of quantum gates. This paper proposes a novel angle encoding with learnable rotation to drastically reduce the qubits and circuit depth from O(N) to O(⌈log2(N)⌉) qubits, and only N parameterized gates, where N is the input size. Additionally, an extended quantum convolutional layer is introduced with multiple quantum circuits (quantum kernel) that allow for the configuration of any arbitrary size, stride, and dilation analogous to a classical convolutional layer. The proposed quantum convolutional layer learns multiple feature maps with a single quantum kernel while reducing computational cost by employing angle encoding with learnable rotation. Extensive experiments were performed by comparing diverse types of quantum convolutional configurations in a Quantum Convolutional Neural Network (QCNN) over a balanced subset of the MNIST and Fashion-MNIST datasets, achieving an accuracy of 0.90 and 0.7850, respectively.
Chatbots in Educational Institutions: Challenges and Issues

The research in the field of Artificial intelligence has been deepening day by day, Conversational Artificial Intelligence is the new buzz word.When Artificial intelligence is used to build software and programs that can engage in Natural Language conversation then the term conversational Artificial intelligence exists.Chat bots is one of the important aspects of conversational Artificial Intelligence.A computer program intends to make a dialogue between both human and machine via textual or auditory methods is called a chat bot.This research paper focused on various challenges and issues that transpire when chat bots are used in School Education System.The interesting results and facts so obtained are presented in this research paper.
Intelligent Augmented Reality for Learning Geometry

This work describes a learning tool named ARGeoITS that combines augmented reality with an intelligent tutoring system to support geometry learning. The work depicts a study developed in Mexico to measure the impact on the learning and motivation of students using two different learning systems: an intelligent tutoring system with augmented reality (ARGeoITS) and a system with only augmented reality (ARGeo). To study the effect of this type of technology (ARGeoITS, ARGeo) and time of assessment (pre-, post-) on learning gains and motivation, we applied a 2 × 2 factorial design to 106 middle school students. Both pretest and post-test questionnaires were applied to each group to determine the students’ learning gains, as was an IMMS motivational survey to evaluate the students’ motivation. The results show that: (1) students who used the intelligent tutoring system ARGeoITS scored higher in learning gain (7.47) compared with those who used ARGeo (6.83); and (2) both the ARGeoITS and ARGeo learning tools have a positive impact on students’ motivation. The research findings imply that intelligent tutoring systems that integrate augmented reality can be exploited as an effective learning environment to help middle–high school students learn difficult topics such as geometry.
Designing Products Sports Shoes Using the Quality Function Deployment (QFD) Method

Sports shoe products produced by (MSME) actors in Mojokerto have not demonstrated theperformance of products received by the public, this is based on the design of shoes done still sourced from thedesign of sports shoes owned by well-known brands that are marketed around mojokerto, research is done todayaimed to design competitive sports shoe products, with the best quality as well as with the latest models that suitthe needs of consumers. The design of sports shoe products is carried out today using Quality FunctionDeployment (QFD). The result of the design of shoe products that are ed has product specifications namelytopline / collar made of elastic and soft, eyestay/strap hole with a certain amount, patterned and embossed upper,flexible and soft midsole, toe box with hole point as air circulation, lace shoe adjusted to skin color, logo designused embossed, detachable insole and elastic insole, flexible wedge, jagged outersole, elastic tongue/tongue,patterned vamp toe, soft and soft tab heel. With the design of the shoes is expected to provide a shoe design thatis acceptable to the public, has competitiveness and reduces the reliance of shoe design on famous brands