Reviewerly/exHarmony huggingface dataset:
ChallengeDetect: Investigating the Potential of Detecting In-Game Challenge Experience from Physiological Measures

Challenge is the core element of digital games. The wide spectrum of physical, cognitive, and emotional challenge experiences provided by modern digital games can be evaluated subjectively using a questionnaire, the CORGIS, which allows for a post hoc evaluation of the overall experience that occurred during game play. Measuring this experience dynamically and objectively, however, would allow for a more holistic view of the moment-to-moment experiences of players. This study, therefore, explored the potential of detecting perceived challenge from physiological signals. For this, we collected physiological responses from 32 players who engaged in three typical game scenarios. Using perceived challenge ratings from players and extracted physiological features, we applied multiple machine learning methods and metrics to detect challenge experiences. Results show that most methods achieved a detection accuracy of around 80%. We discuss in-game challenge perception, challenge-related physiological indicators and AI-supported challenge detection to inform future work on challenge evaluation.
HyperMatch: Knowledge Hypergraph Question Answering Based on Sequence Matching

Question answering for automatic answer retrieval and knowledge hypergraphs for complex knowledge representations are currently two popular research areas. However, no knowledge hypergraph question answering method is available for answering complex questions. Secondly, current information retrieval-based methods cannot perform sequence ranking on a word basis when dealing with complex questions. They cannot add high weights to the relations of candidate entities related to the questions. We propose the HyperMatch method, which takes a single hyperedge as a unit and completes the extraction of candidate answer entities by sequence matching and multi-relation attention mechanism. Experiments show that HyperMatch can achieve a 9.44% improvement in the Hits@1 metrics. To the best of our knowledge, this is the first knowledge hypergraph question-answering method based on information retrieval.
Hardware is Hard—is it Worth it?

Within the field of technical human-computer interaction (HCI), there is a community of researchers who innovate in hardware: they build new device form factors, experiment with sensing, actuation and displays, and they deploy and study novel devices. Their work underpins many new and inclusive user experiences. A common perspective is that developing hardware is hard, especially in comparison to purely software-based activities. It typically involves a multitude of disciplines in addition to software, likely relies on third parties such as parts suppliers and manufacturing partners, has inherent delays that stifle agility, and it costs more. Is hardware really ‘harder’ though? And if it is, is innovation in hardware a worthwhile endeavor for the HCI community? This panel will discuss these topics with the aim of giving attendees a deeper understanding of the difficulties and benefits of hardware research in an HCI context.
Comparative Analysis and Evaluation between Traditional and Online Learning in Engineering Education, Focused on Introduction to Engineering

Due to the COVID-19 Pandemic, face-to-face interactions are prohibited by the government, pushing various institutions to shift from the traditional to the online style of teaching.However, the question is whether online learning is as effective as a traditional learning mode.This research explores the learning experience and current issues within engineering education.It compares the Learning Experience between traditional learning and the enriched virtual mode of learning in Introduction to Engineering.The researchers conducted the study at the University of Santo Tomas, wherein they identified two groups of students.The controlled group consists of students from the traditional learning method, and the experimental group consists of students from the enriched virtual mode.The researchers used the Mann-Whitney-U test to see if there is a significant difference between groups under the factors chosen by the researchers that affect the learning experience.The main findings of the research state that there is no significant difference between the controlled and experimental groups in learning effectiveness, student performance, and student confidence.Researchers found a significant difference between the two groups in the two dependent variables, student satisfaction and faculty interaction.The study concluded that online learning is significant as traditional learning methods and is even superior to the traditional method in some factors used in the study.Lastly, the researchers recognize that online learning can be adapted as the learning tool used in delivering Introduction to Engineering in the Faculty of Engineering at the University of Santo Tomas.
An Empirical Study of Student Acceptance toward SaaS-Based Academic Information System: an extended UTAUT model

Software as a Service (SaaS)-based academic information system has become a new trend in system procurement in universities, particularly in Indonesia.With the various advantages of SaaS-based academic information systems, many universities have decided to switch to this service model.Factors influencing college student acceptance toward SaaS-based academic information systems were examined using the Unified Theory of Acceptance and Use of Technology (UTAUT) model that was modified by adding Trust (TR) and Quality of Service (QS) variables.Data were collected from 338 college students and analyzed with Generalized Structured Component Analysis (GSCA).This study reveals that the significant predictors of SaaS-based academic information systems are performance expectancy, effort expectancy, social influence, and facilitating condition.Further results and discussions are discussed.
Natural Language Processing to Improve Information Retrieval for Meeting Minutes Written in Brazilian Portuguese

A multi-thematic document is composed of many subjects in a continuous text.In this context, a meeting minute concentrates very important information such as guidelines and decisions.Therefore, it is often used as information source.Most information retrieval techniques do not deal well with multi-thematic documents, once it has nonstructured data, lack of metadata and little subject delimitation.Furthermore, it is hard to assign them the main subject or point to a specific snippet.Here we had two main challenges.First, knowing where a subject goes to another, and second, how to identify them.To solve these needs we used text segmentation and topic extraction methods.The text segmentation technique splits a document into segments where each part contains a coherent subject, while topic extraction methods aim to group and describe them.Many researchers evaluate these methods using long texts such as concatenation of documents or transcriptions of discourse and multipart meetings written exclusively in English.In this work, we collected a corpus of meeting minutes written in Brazilian Portuguese which besides being the language less studied, has a more formal and succinct style.As a result, it generates a structure formed by segments represented by descriptors and grouped by topics which adds extra information about the subject that each segment deals with.Finally, we present a method to connect the text segmentation and topic extraction methods to improve the performance of information retrieval techniques as well as provide an annotated corpus for this domain.
Failed yet successful: Learning from discontinued civic tech initiatives

The design of civic tech is often confronted with impediments, barriers, and a lack of resources. These and other causes may lead to the discontinuation and even abandonment of initiatives. Since seemingly failed projects are much more difficult to publish as articles, this workshop will provide academics and practitioners with a rare opportunity to exchange experiences and insights on discontinued civic tech initiatives. The goal of the workshop is to develop a better understanding of why some civic tech initiatives fail and ask whether discontinued initiatives may still somehow contribute to social change and the growth of digital civics. A variety of sub-questions around discontinued civic tech will be addressed in the workshop, including matters of participation, citizen science, public management, power structures and biases, and communication.
Application of interval type-2 fuzzy logic and type-1 fuzzy logic-based approaches to social networks for spam detection with combined feature capabilities

Background Social networks are large platforms that allow their users to interact with each other on the Internet. Today, the widespread use of social networks has made them vulnerable to malicious use through different methods such as fake accounts and spam. As a result, many social network users are exposed to the harmful effects of spam accounts created by malicious people. Although Twitter, one of the most popular social networking platforms, uses spam filters to protect its users from the harmful effects of spam, these filters are insufficient to detect spam accounts that exhibit new methods and behaviours. That’s why on social networking platforms like Twitter, it has become a necessity to use robust and more dynamic methods to detect spam accounts. Methods Fuzzy logic (FL) based approaches, as they are the models such that generate results by interpreting the data obtained based on heuristics viewpoint according to past experiences, they can provide robust and dynamic solutions in spam detection, as in many application areas. For this purpose, a data set was created by collecting data on the twitter platform for spam detection. In the study, fuzzy logic-based classification approaches are suggested for spam detection. In the first stage of the proposed method, a data set with extracted attributes was obtained by applying normalization and crowdsourcing approaches to the raw data obtained from Twitter. In the next stage, as a process of the data preprocessing step, six attributes in the binary form in the data set were subjected to a rating-based transformation and combined with the other real-valued attribute to create a database to be used in spam detection. Classification process inputs were obtained by applying the fisher-score method, one of the commonly used filter-based methods, to the data set obtained in the second stage. In the last stage, the data were classified based on FL based approaches according to the obtained inputs. As FL approaches, four different Mamdani and Sugeno fuzzy inference systems based on interval type-1 and Interval Type-2 were used. Finally, in the classification phase, four different machine learning (ML) approaches including support vector machine (SVM), Bayesian point machine (BPM), logistic regression (LR) and average perceptron (Avr Prc) methods were used to test the effectiveness of these approaches in detecting spam. Results Experimental results were obtained by applying different FL and ML based approaches on the data set created in the study. As a result of the experiments, the Interval Type-2 Mamdani fuzzy inference system (IT2M-FIS) provided the highest performance with an accuracy of 0.955, a recall of 0.967, an F-score 0.962 and an area under the curve (AUC) of 0.971. However, it has been observed that FL-based spam models have a higher performance than ML-based spam models in terms of metrics including accuracy, recall, F-score and AUC values.
The Dilemma of Rural Education Out of Poverty in The New Era and Countermeasures

Rural education out of poverty is a key step to achieve rural revitalization. At present, rural education out of poverty mainly faces the problems of insufficient bottom of school software and hardware construction; indifferent villagers' learning awareness; neglecting students' all-round development, etc. For this reason, it is necessary to strengthen school software and hardware construction; create an atmosphere of universal learning with holistic thinking; and focus on students' all-round development. With education as the link, we can effectively realize the great strategy of rural revitalization.
eflection on the Teaching of IELTS Writing

In recent years, educators advocated teachers' reflection on their teaching practice, which has gradually developed into an important teaching activity.Practices have proved that teachers can improve their teaching level through continuous reflection.In this paper, the author introduces the reflection on teaching and offers some ways to improve IELTS writing teaching.Most students have trouble getting higher scores on IELTS writing tasks.Therefore, the reflection on writing teaching is useful to teachers who want to help students perform better in such English exams.
Augmented, Virtual and Immersive Reality as Learning Support in TEC21 Educational Model

Virtual, augmented, and immersive reality opens a world of possibilities in education by allowing students to recreate authentic situations, such as operating machinery, assembling a product, or training tool handling, to mention a few. In the TEC21 educational model, the core is the challenge: a project with a real-world challenge assigned by the training partner results in students offering solution proposals.The trigger that accelerated the development of virtual, augmented, and immersive reality activities in distance learning was COVID-19 confinement. During this, these technologies recreated the laboratory and its facilities’ learning through augmented reality (AR) and virtual reality (VR) experiences.Using these technologies in the classroom allows students to achieve a great learning experience and develop skills for postgraduate studies and professional futures.Furthermore, now that we have returned to our physical facilities and laboratories, we can accelerate the learning obtained at the training partners’ facilities, recreating processes and machinery through these immersive technologies and a hybrid experience for our students.The present research shows the activity learning design process and the statistical treatment of the data to provide continuous feedback during the activity; we examine the three transcendental variables in the educational process: the learning (academic rigor), the development of competencies, and the involvement or immersion of the students in the classroom.
A Systematic Literature Review of Total Quality Management in Food and Beverages Industry

Total quality management is a key success factor from the start of production process until the end of the process.Total quality management does not only influence the result of production, but also the whole entire structure of the organization.The actual goal of a business survival in the industry depends on how they continuously improve their customer's satisfaction and loyalty.Businesses does not stop creating values through their products, they also obligated in attracting new customers.There are several impacts from the implementation of total quality management, starting from the customer focus, employee's behavior, decision making, and etc.By the collaboration of total quality management with other tools designated in helping the implementation of total quality management, businesses have put much focus towards their strength also effort in the improvement of total quality management since it is originated to increase customer satisfaction.Several essential aspects of the quality management include quality of products through health and safety procedures, also top management of the organization.This study aims to reveal does the quality implied on a business has really risen customer satisfaction and what are actually it's impact to the Food and Beverages Industry.Thus, through this research of Systematic Literature Review of Total Quality Management Implementation in Food & Beverages Industry has revealed that total quality management should be effectively implemented on the organization from all aspects of the business.
Proposed Improvements to The Chip Raw Material Control System Using the Continuous Review System and Periodic Review System Methods

Each region has its characteristics of traditional food, snacks, and drinks.One example of traditional processed products is generally made from raw materials of tubers such as cassava and sweet potatoes and also processed from fruits and flour (Sari and Nurrizati, 2018).Through optimal inventory control, companies can meet consumer needs on time and minimize the cost of raw material inventory to achieve company goals (Lahu, E.R., 2017).This research focuses on controlling the inventory of raw materials for chips, which will later be useful for minimizing inventory costs to affect the company's benefits.The purpose of this study is to describe raw materials inventory by determining the number of ordering lots and calculating the optimum total inventory cost for the company.The method used is a continuous review system and a periodic review system by collecting data related to the cost of raw material inventory at the UKM Tungku Sanjai Minang Maimbau.The results obtained are the total cost of raw material inventory, the optimal order lot size of raw materials by comparing the Q and P methods, and the total cost of raw material inventory.The calculation of the two methods is then compared to get the best method for controlling the inventory of chip raw materials.
Application of Computer Image Processing Technology in Visual Communication System

This research paper aims to enhance the operation of visual communication systems by incorporating computer image processing technology. The study investigates the potential applications of visual communication systems by utilizing imaging equipment to capture distorted fringe images of height-modulated objects from different angles. Phase information closely associated with the object is then extracted from the images and utilized to obtain the object’s three-dimensional surface topography following calibration. The paper applies multi-frequency phase-shift profilometry and Fourier transforms profilometry to construct further a visual communication system based on computer graphics processing technology. The article contributes to visual communication systems by proposing a novel approach that incorporates computer image processing technology. This approach enhances the performance of visual communication systems, resulting in a more effective means of communication. The study’s experimental analysis demonstrates computer image processing technology’s superiority and ability to enhance the visual communication system’s application. The study’s key findings indicate that computer image processing technology can effectively enhance the effectiveness of visual communication systems. The incorporation of imaging equipment and phase extraction methods leads to the production of accurate three-dimensional surface topography data. Furthermore, multi-frequency phase-shift profilometry and Fourier transform profilometry aid in constructing a visual communication system based on computer graphics processing technology, which leads to an overall enhancement of the visual communication system’s application.
Formation and development of teams for strategic university transformation projects: Methodological approaches

Introduction . Today, in the conditions of constant and growing uncertainty, there is the need to develop new, up-to-date methodologies for the development of university management teams, the transformation of their activities in a new environment. Aim . The present research aims to analyse methodological approaches to the formation and development of teams working on the strategic university transformation projects that meet the needs of practice and reflect the most effective ways to create and operate university project teams. Methodology and research methods . As the scientific basis of the proposed methodological approach to the effective formation and development of teams working on the strategic projects for the transformation of universities, the main theoretical provisions of the team-based approach are determined. The main research methods involved the analysis of scientific publications on the topic under study, the grouping and classification of approaches, a deep semi-formalised interview with 76 representatives of the administrative and managerial apparatus of three large Russian universities (regional classical universities from the Volga and Siberian Federal Districts of Russia), a questionnaire survey of 78 experts. Results . International experience in studying the activities of management teams of higher education institutions was summarised. The authors identified the restrictions and possibilities of using international experience in Russian universities. The scientific and practical groundwork for the formation and development of teams for the strategic university transformation projects is presented.Scientific novelty. The authors critically analysed the existing methodological approaches to the formation and development of teams for strategic university transformation projects, which reflect the most effective ways of creating and functioning university transformation project teams. Practical significance lies in justifying a set of methodological approaches to the formation and development of project teams and checking their applicability in the practice of university implementation transformation projects. The research materials can be useful to the representatives of administrative and managerial personnel, the heads of projects and programmes for the university development, and the employees participating in projects.
Online Learning And The It Sector A Systematic Literature Review Using Prisma

IT sector in India is world-renowned for its competencies and fast-flawless project handling.This sector undergoes frequent upgrades and upskilling.Online upskilling programs aid IT organizations and their employees in being future-ready, without loss of man-hours.Through exhaustive research article resources available, a confined and sector-oriented review of the literature is not immediately available.This paper is a systematic review of research literature -listed in the Scopus database -on Online Learning and its Outcomes limited to the IT sector.The method employed is PRISMA to identify the research gaps, vide the subject.This paper attempts to highlight the research gaps and newer avenues for empirical research that would readily serve future scholarly research.
PEDAGOGICAL CONDITIONS FOR THE FORMATION OF INFORMATION AND DIGITAL COMPETENCE IN YOUNGER SCHOOL STUDENTS AT COMPUTER SCIENCE LESSONS

The article presents the theoretical justification of the pedagogical conditions for the formation of information and digital competence in younger school students at Computer science classes. In the research process, certain pedagogical conditions were identified and systematized, which must be observed for the effective formation of information and digital competence in younger schoolchildren, namely: stepwise formation of information and digital competence; systematic digitization of the computer science education process; proper motivational provision of the educational process.&#x0D; Keywords: pedagogical conditions; information and digital competence; younger schoolchildren; informatics; information technologies; educational activity; information; information culture; computer