Reviewerly/exHarmony huggingface dataset:
Application of 360-Degree Virtual Tour as a Website-Based Media for Introduction to Pucak Meru Pura

Pucak Meru Temple is one of the temples belonging to the Kahyangan Jagat Temple, which is located in Banjar Kasianan, Pangsan Village, Petang District, Badung Regency, Bali. Pucak Meru Temple has a cave called Goa Meru which is a historical witness to the establishment of this temple. Pucak Meru Temple has several uniqueness, namely, in Goa Meru flowing 5 sources of water, inside the cave there are also guards in the form of snakes and there are also many ancient kepeng coins, and during piodalan in this temple it always rains even during the dry season. when pujawali does not rain, it is certain that the drought will be long. Pucak Meru Temple is a temple that recently has the status of Kahyangan Jagat Temple, so the name of this temple as Kahyangan Jagat Temple is still foreign to the public. With the current development of information technology, the author built a Website-Based Virtual Tour 360 Degree application which aims to provide effective information and the impression as if you had been at Pucak Meru Temple. This application was built using the MDLC (Multimedia Development Life Cycle) method. Based on the test results using the heuristic evaluation method, the results were quite good and through the system usability scale testing, an average SUS score of 80 was obtained, thus concluding that each function is running well and can be used easily by users.
SPIRITUAL VIRTUUM: THE INTERACTION OF THE FINITE AND THE INFINITE

The virtuum is shown as one of the dimensions of society. The conceptualization of the phenomenon of the spiritual virtuumin the context of the interaction of the virtuum infinite in being and finite in the digital reality of the cyber-techno-sphere is the goal of thisstudy. The phenomenon of the virtuum is considered within the framework of socio-philosophical, ontological, and transcendentalapproaches. Each virtual object is finite and discontinuous. In the spiritual virtuum the boundary is conditional and imaginary. Theposition is summarized that a computer designer who is able to adapt to various life situations, in order to manage virtual reality. Thespiritual virtuum or the peculiar life of the Digital Spirit can be understood as a property of the soul, consisting in the predominance ofspiritual, moral, and intellectual interests over material ones.
Alat Koreksi dan Rekontruksi Tulisan pada Dokumen Lama Bahasa Indonesia Berbasis Mini PC

In the digital era, preserving old documents to prevent damage is a significant challenge. One solution to this problem is to reconstruct damaged or lost documents using image processing and natural language processing technologies. This article discusses the design of a tool for correcting and reconstructing writing in old papers and documents that can be implemented on a mini PC. The tool uses state-of-the-art algorithms such as Convolutional Neural Network (CNN) for character recognition and Optical Character Recognition (OCR), as well as Image Inpainting and Sequence-to-Sequence (Seq2Seq) algorithms for document reconstruction. Test results show that this tool can recognize characters with high accuracy and reconstruct damaged or lost documents effectively.
Innovation and entrepreneurship orientation and suggestions for new engineering computer majors under the background of artificial intelligence

With the advent of the era of artificial intelligence, Chinese universities are also shouldering the heavy responsibility of cultivating innovative talents. In this paper, a variety of methods such as literature, questionnaire, and mathematical statistics are used to design a new engineering computer innovation and entrepreneurship education experiment. This paper analyses the problems existing in the current training programs of computer majors in colleges and universities, and grasps the understanding, difficulties and needs of computer majors on innovation and entrepreneurship. The survey results show that among the respondents, 51.63% of the students believe that entrepreneurship is a good choice, and 23.48% of the students are starting or have experienced entrepreneurship. In the requirements of computer professional employ ability; the frequency of selection of practical ability and innovation ability is as high as 97.59% and 95.58%, which is enough to show the importance of practical ability and innovation ability.
Automatic Web News Content Extraction

The extraction of the main content of web pages is widely used in search engines, but a lot of irrelevant information, such as advertisements, navigation, and junk information, is included in web pages. Such irrelevant information reduces the efficiency of web content processing in content-based applications. This study aimed to extract web pages using DOM Tree in the rationality of segmentation results and efficiency based on the information entropy of nodes from the DOM Tree. The first step of this research was to classify web page tags and only processed tags that affected the structure of the page. The second step was to consider the content features and structural features of the DOM Tree node comprehensively. The next was to perform node fusion to obtain segmentation results. Segmentation testing was carried out with several web pages with different structures so that it showed that the proposed method accurately and quickly segmented and removed noise from web page content. After the DOM Tree was formed, the DOM Tree would be matched with the database to eliminate information noise using the Firefly Optimization algorithm. Then, testing and evaluating the Firefly Optimization method in effectiveness aspect were done to detect and eliminate web page noise and produce clear documents.
Rise of the Machines: The Potential Threat of AI to Engineering Jobs

The rapid advancement of Artificial Intelligence (AI) has led to its widespread adoption in various industries, including engineering.While AI offers significant potential for automation, optimization, and problem -solving, concerns have arisen regarding its impact on human engineers.This article explores the topic of AI in engineering as a potential threat to the role and future of human engineers. The article begins by outlining the benefits of AI in engineering, including increased efficiency, improved accuracy, and faster design iterations. AI's capabilities in data analysis, predictive modeling, and autonomous systems are highlighted, showcasing its potential to revolutionize engineering practices. However, the article delves into the potential threats that AI poses to human engineers. One of the primary concerns is job displacement, as AI -driven automation can replace routine and repetitive tasks traditionally performed by human engineers. This raises questions about the future employability and skill requirements for engineers in an increasingly AI -driven industry. Moreover, the article recognizes the limitations of AI in engineering. While AI excels in data -driven tasks, it may lack the creativity, intuition, and adaptability that human engineers bring to the table. The article argues that a symbiotic relationship between AI and human engineers, where AI is used as a tool to augment human capabilities, can lead to more effective and innovative engineering solutions.
A Study on Literacy Education Using Constructivism Strategy: Focusing on Writing a Claim and Persuasive Speech

The purpose of this paper is to discuss effective literacy education methods through assertive writing and persuasive speech performance using constructivist strategies. To this end, speech learning after writing was designed based on the understanding of constructivism. The learning components are pre-teaching activities, learning guidance, learner-led learning, and assessment. According to the course, learning objectives, learner analysis, learning content mini-lecture, feedback, writing, presentation, teacher evaluation, and peer evaluation were planned. The learners performed solution-type argumentative writings, cold-bang-type argumentative writings, argument-type argumentative writings, goal-oriented argumentative writings, and persuasive speeches. Through this process and results, constructivist learning methods could be suggested to literacy education.
A Study on Praxis Education for Culturalization In Christian Education

The aims of this study was for today's existing value system and social order are changing due to multi-dimensional religions and cultures in the multi-cultural era, and a new paradigm of Christian education is required due to these changes. To address this demand, this study looked at the relationship between church and culture in a cross-cultural way in Christian education. The right Christian faith can be established only in a responsible relationship with the reality that Christians are in, and it can never be achieved in the pursuit of personal godliness away from reality. This researcher suggested Praxis education that values community culture through the culturalization of Christianity, Praxis education that values the culture of service, and Praxis education that values the culture of Shalom as Praxis education methods for the culturalization of Christian education. The subject of this kind of Praxis education is a relationship in which the instructor teaches the learner and the learner teaches the instructor, rather than demanding responsibility only from the instructor. This means that all members of the community become instructors and learners, teaching, learning, and growing together. Therefore, this study aims to help Christians become members of the kingdom of God who can think, discriminate, and respond with a sense of responsibility to social, political, and economic issues in daily life from a Christian perspective.
The Effect of Empowering Leadership on Innovative Work Behavior: the Mediation Effect of Intrinsic Motivation and Employee Creativity

The importance of innovation for organizational performance and survival is widely recognized. Over the past two decades, scholars and practitioners have paid much attention to employees' innovative work behaviors. One of the factors that influence innovative work behavior is empowering leadership. This study examines the mediating roles of intrinsic motivation(IM) and employee creativity(EC) in the relationship between empowering leadership(EL) and innovative work behavior(IWB) based on a conceptual model developed from existing research findings. Data were collected from a sample of 390 employees working in the information technology(IT) industry in Korea using an online questionnaire. Partial least squares structural equation modeling (PLS-SEM) using bootstrapping technique was applied to test the research hypotheses. The results showed that employees who rated EL highly had higher IM, which enhanced EC, which in turn improved their self-rated IWB. Our findings not only shed light on the mechanisms that strengthen the EL-IWB relationship, but also highlight the important roles of IM and EC in this link. Based on these findings, we suggest that executives in the IT industry should primarily consider developing and encouraging managers' empowering behaviors to foster employees' IM, enhance EC, and ultimately improve their IWB. Finally, limitations of the study and directions for future research were presented.
Research on Calibration Method of off-axis Closed-loop Detection System for Multi-target Spectral Telescope

Abstract The LAMOST telescope has been operating steadily for more than 10 yr and is currently undergoing an upgrade to its fiber-optic positioning system on the telescope’s focal plane. By adding a vision detection system to accurately measure the current position of the optical fibres and carry out closed-loop feedback control, the positioning accuracy of the original optical fiber system is greatly improved. Due to the limitation of the existing optical path of the telescope, to avoid blocking the optical path, the detection system camera cannot be placed on the optical axis of the telescope, which makes the camera and the optical fiber end face at a relatively inclined position. However, the angle between the camera and an object will introduce errors to the polynomial calibration method used in the visual detection system. To address this problem, by analyzing the relationship between the camera imaging principle and the polynomial calibration method, this paper studies the influence of distortion and imaging angle on polynomial calibration results under different angle conditions and proposes an improved high-precision polynomial calibration method. First, the distortion parameters are calculated using Zhang’s method, and the image distortion is removed. Then, a mapping model between oblique plane image and nonoblique plane image is established through a homography matrix. The coordinates of all oblique plane feature points are mapped one by one to the nonoblique plane positions on the image space, and a good correction effect is obtained. Finally, the calibration images from different angles are calculated and analyzed through simulation experiments and compared with Zhang’s method. The results show that this method has a 10%–40% improvement over Zhang’s method.
Toward Natural Language Understanding by Machine Reading Comprehension

The ability of artificial intelligence (AI) to comprehend text is becoming a major topic of discussion.While natural language understanding by AI poses a difficult problem, a significant improvement in AI reading comprehension has been achieved in recent years through the application of deep learning techniques.This article introduces machine reading comprehension technology now under research and development at NTT with the aim of achieving an agent that can understand business knowledge written in manuals, understand the language used by customers, and provide appropriate answers to questions.
„CONTRADICȚIA UNILATERALĂ” ȘI PRACTICA ARGUMENTĂRII

Starting from some of C. Noica’s reflections on what he calls `unilateral contradiction`, this material tries to answer two questions: What is, argumentatively and rehetorically, unilateral contradiction? and What roles does it play in the practice of argumentation? Six study cases explore (i) how unilateral contradiction has argumentatively been used in sustaining a claim by criticizing a disjunction, and (ii) how it may be used as a way of reconstructing a case.
Modeling Game Mechanics with Ceptre

Game description languages have a variety of uses, including formal reasoning about the emergent consequences of a game's mechanics, implementation of artificial intelligence decision-making where the game's rules make up the space of possible actions, automated game and level generation, and game prototyping for the sake of low-time-investment design and tinkering. However, in practice, a new game description language has been invented for almost every new use case, without providing formal underpinnings that follow generalizable principles and can be reasoned about separately from the specific software implementation of the language. Ceptre is a language that attempts to break this pattern, based on an old idea known as multiset rewriting. This paper describes the language formally, through example, and in a tutorial style, then demonstrates its use for writing formal specifications of game mechanics so that they may be interactively explored, queried, and analyzed in a computational framework. Ceptre allows designers to step through executions, interact with the mechanics from the standpoint of a player, run random simulated playthroughs, collect and analyze data from said playthroughs, and formally verify mathematical properties of the mechanics, and it has been used in a number of research projects since its inception, for applications such as procedural narrative generation, formal game modeling, and game AI.
Micrometeorological measurements and data management as transferrable skills

In a fast-changing global economy, possessing knowledge and skills plays a crucial role in determining individual, institutional, and societal competitiveness and the capacity to drive innovation. The FAIR Micromet Portal FMP2.0 &amp;#160;(Roantree et al., 2023;&amp;#160; denoted as FKP) and CA20108 FAIRNESS network aim to enhance transferable skills in measurement planning and implementation challenges (creative thinking and problem-solving) and interdisciplinary approaches (the ability to combine work across different fields), with the expectation of improved outcomes. &amp;#160; These skills are highly valued by employers and in great demand in the labor market, making them important drivers of individual career development. However, there often exists a significant diversity among Ph.D. students and new employees (young researchers) regarding functional knowledge and skills, which may result in certain gaps. Identifying whether these gaps relate to soft, hard, or transferable knowledge and skills is essential. A lack of transferable skills can significantly hinder further career development. To address this issue, we have designed a transferrable skills questionnaire to help young researchers and experts assess their transferable skills related to micrometeorological measurements and decide which ones to enhance. The selected skills include micrometeorological instrumentation (principles of work, selection and installation), experiment design (designing micrometeorological measurements in rural and urban areas; anticipating and overcoming the most frequent issues; data and metadata selection), data assimilation (managing different data formats and units), critical control (quality control; identifying different data gaps in micrometeorological data and metadata), and gap filling (different methodologies in filling gaps in data and metadata). In this study, we present the results of the self-assessment of the first hundred participants. Literature Roantree, M., Lalic, B., Savic, S., Milosevic, D., and Scriney, M., 2023: Constructing a Searchable Knowledge Repository for FAIR Climate Data, EGU General Assembly2023, Vienna, Austria, 24&amp;#8211;28 Apr&amp;#160;2023, EGU23-7786. https://doi.org/10.5194/egusphere-egu23-7786. &amp;#160;
The Use of Visualization Methods in the Process of Teaching Chemistry at the University

This article shows that visualization is considered the most important direction for improving learning. Visualization of the educational process gives great prospects for development because the student acquires such qualities as logical, imaginative, creative thinking and the ability to work effectively in a team, make quick practical decisions.The purpose of this study is to use visualization in chemistry lessons to enhance the motivation of students, enhance learning activities, demonstrate feedback and dangerous experiments that, due to their complexity or hazardous materials, cannot actually be carried out during classes. To achieve the purpose of the study, a survey method was chosen, and questionnaires with open and closed questions were used. This article analyzes open-type answers. The study was conducted at the South Kazakhstan State Pedagogical University at the Department of Chemistry in the 2021–2022 academic year. The positive impact of visualization is confirmed during the practical work of students. Students understand phenomena and can makegeneralizations about them, they make value judgments more easily. This indicates that visualization makes it easier for students to evaluate the most important information flows, highlight the main thing and can analyze it, so they successfully perform reflection and generalizations. Thus, the use of visualization provides ample opportunities not only for acquaintance with new educational information, but also for the transfer of theoretical and practical knowledge in an accessible and easily digestible form.
Parkinson\'s Disease Prediction using Machine Learning Methods and Large Amounts of Data

Abstract: As the web becomes increasingly popular based on the quality of customer reviews, the field of sentiment analysis (also known as sentiment distribution, decision mining, sentiment mining, and thought mining) has received academic attention for many more years over the past few years. A critical analysis requires thinking about the content, sentences and context of the document and provides a recommendation and strength to the article. It is known that the opinions of buyers are expressed in loud Chinese sentences. However, due to the unconventional nature of typing in Chinese, machine learning methods cannot distinguish sentences that are highly recommended. We like to approach the problem with a semantic approach, mainly referring to the meaning of thinking about thinking, which is emotional. The results show that this combined theory test provides the greatest flexibility of the task.
The Influence of Music on the Development of the Childʼs Psyche

The article presents a theoretical analysis of the problem of the influence of music on the development of the child's psyche. It is noted that music occupies a special place in the upbringing of preschool children because of the connection with it on an emotional level. The influence of musical education on the development of attention, memory, artistic and imaginative thinking and other mental processes through instrumental performance, singing and rhythmic gymnastics is considered. The development of musical intelligence in a child in the prenatal period is presented for consideration. The connection of music with mathematics for the development of the psyche is analyzed. The influence of classical music and the Mozart effect is studied. In conclusion, the effect of various styles of music on the psyche of adolescents is considered.
Exploring the Patterns of Professional Adaptation and Influential Factors of Novice Secondary Teachers

This study was conducted to classify novice middle and high school teachers into subgroups based on their adaptation, and to verify individual and school-related factors influencing group classification. To this end, the study was conducted on 611 teachers with less than 5 years of teaching experience in middle and high schools using data from the 1st year of the Seoul Educational Longitudinal Study of Teacher. The results of the latent profile analysis, using functional aspects (curriculum, guidance and counseling, career guidance, classroom management, academic administration) and psychological aspects (passion/morale, burnout) as indicators, are as follows. The adaptation of new secondary school teachers was divided into 4 groups (‘High’ (9.1%), ‘High-Middle’ (28.1%), ‘Middle’ (42.0%), ‘Low’ (20.8%)) depending on the level of the indicators. As for the individual factors influencing the classification of new teachers’ professional adaptation, it was found that motivation for choosing the teaching profession (intrinsic motivation, altruistic motivation, and extrinsic motivation), sense of belonging, and non-regular teaching experience were significant. Among the school factors, the principal’s visionary leadership showed significance. Based on the results of this study, educational implications for the professional adaptation of novice teachers were proposed.