Reviewerly/exHarmony huggingface dataset:
A Minimum Error-Based PCA for Improving Classifier Performance in Detecting Financial Fraud

The main challenge of data mining approaches to detect fraud in financial transaction data is the imbalance of data classes in available datasets, with a much smaller fraud class proportion than the non-fraud. This imbalance affects the f1-score to be low due to unbalanced precision and recall. Therefore, the model can predict one class well, but it does not apply to another class. In addition, the lengthy training time duration and high computational resource requirements in implementing data mining also make them a particular concern. Therefore, solely handling imbalanced data is still insufficient to produce the expected performance. Reduction of data dimensions can be a solution to increase the speed of the process. However, this method actually reduces the classifier’s performance when it comes to classification. Furthermore, this study intends to improve the performance of the data mining approach based on the Support Vector Machine (SVM) classifier aiming at detecting financial fraud transactions. The SVM performance was refined by tuning the kernel and hyperparameter integrated with the Random Under Sampling (RUS) and our Minimum error-based Principal Component Analysis (MebPCA). The RUS was used to handle imbalanced data, while MebPCA modified data dimension reduction techniques based on classification errors to speed up computational time without disturbing the performance of SVM. This combination improves the classifier's performance in detecting fraud effectively with a precision improvement of 29.31% and f1-score of 19.8%, and efficiently reduces the duration of training time significantly by 36.39% compared to previous research regarding the SVM method for fraud detection.
Development of Proximity-Based COVID-19 Contact Tracing System Devices for Locally Virus Spread Prevention

COVID-19 contact tracing is a preventive solution to slow the spread of the virus. Several countries have implemented manual contact tracing as well as digital tracking using smartphone applications. A proximity-based COVID-19 contact tracing system device using BLE (Bluetooth Low Energy) technology focuses on tracking and controlling the spread of the virus in local communities. The devices consist of a signal sending device (tag) and a signal receiving device (scanner). Suppose a system device is implemented in a factory. The tag will be used by employees by placing it in the front pocket of the factory employee's clothes or hooked on the shirt. The tag will continuously send a signal that will be read by the scanner. This received signal with the received signal strength indicator (RSSI) format will be used to calculate the distance between the scanner and the tag. Then the distance will be used to determine the coordinate point of the tag, with calculations using the trilateration algorithm. Therefore, the distance between tags can be obtained, while with signal fluctuation, the actual coordinate point cannot be obtained, yet proximity information can still be obtained by filtering distance data at a specified time interval that is less than the threshold value of the distance, 2 meters, then comparing the data with the overall data, resulting in a percentage value. A high percentage, above 80%, indicates the closeness between tags.
Critical Discourse Analysis of Language and Power in EFL Classroom Interaction

Abstract&#x0D; &#x0D; This study aims to discuss the use of language and the power possessed by the teacher in interacting with students in the classroom on the way student perceptions and its contribution to student learning outcomes. This study investigates teacher discourse and teacher-student discourse that occurs in the classroom interaction. Through this explanation of critical discourse analysis, the researcher proposes to distribute the concepts of classroom interaction between teacher and students, the use of the teacher’s language, and the use of the teacher’s power. This explains the role of the power of using language in classroom interactions to create good learning characteristics and outcomes. The analysis of this research is based on the theory of discourse analysis which focuses on the topic of language taken from Fairclough's theory and the types of power by French and Raven (1959). The method used in this study is a descriptive qualitative research method that deals with data in the form of words from interviews and questionnaires. The results showed that the teacher’s language in classroom interaction is used not only to interact with the students but also to provide the materials and information, to give instruction, and to train the students’ skills. The power with the highest frequency of use produced by the teacher during the learning process is expert power, reward power, referent power, legitimate power and the last is coercive power.&#x0D; Keywords: Critical Discourse Analysis, Classroom Interaction, Language, Power
THE PECULIARITIES OF APPLICATION OF MODERN METHODS WHEN TEACHING BIOLOGICAL CHEMISTRY AS MEANS TO DEVELOP POSITIVE MOTIVATION FOR ACADEMIC AND PROFESSIONAL PURSUITS OF BIOLOGY MAJORS

In the course of this research motivation to academic and professional activities among students who major in 091 Biology of Zhytomyr Ivan Franko State University has been assessed. The results, obtained upon the completion of diagnostic assessment of various factors of motivation and their significance in students during the second and the third years of study, have been analyzed. The findings demonstrate that the motivation to academic and professional activity in students in the second and the third years of study is similar and quite high. Regardless of the academic year the prevalent factors that motivate students to engage in academic process are professional and communicative, which attests to a positive attitude of the research participants to the selected profession and essentially their strong motivation to studying at the university. The least significant, regardless of the year of study, are the reasons to avoid failure. The mechanisms to increase professional motivation in students when teaching Biological Chemistry by means of application of innovative teaching methods were analyzed. The role of modern teaching methods of Biochemistry as means to acquire integral and professional competencies and positive motivation development to academic process in Biology majors who pursue undergraduate (Bachelor’s) degree has been studied.
HUBUNGAN MOTIVASI, PERSEPSI MELALUI STRATEGI PEMBELAJARAN TERHADAP PRESTASI BELAJAR BAHASA INDONESIA SISWA KELAS IX SMP NEGERI 1 PAGAR ALAM

This study aims to analyze the correlation among motivation, perception towards learning strategy and indonesian learning achievement of the ninthgrade students of SMP Negeri 1 Pagar Alam. This research is a quantitative study with a correlational method. The population in this study were all the ninthgrade students of SMP Negeri 1 Pagar Alam in the academic year 2020-2021. The sampling technique used in this study was purposive sampling technique. The research instrument was a motivation questionnaire, a perception questionnaire through learning strategies and documentation of student achievement in odd semesters. The data analysis technique used to test the correlation between variables X1 to Y and X2 to Y is r-product moment correlation analysis, to test the correlation of Xi, X2 to Y, multiple regression analysis is used. The results showed that there was a significant relationship between motivation and perception through learning strategies simultaneously on learning achievement in Indonesian. A significance score of 0.001 is lower than 0.05
Cloud Segmentation and Motion Tracking in Sky Images

In this work, we present two different algorithms to aid in real-time weather predictions. This information can be used to inform the movement of a tracker or short-term power predictions. Since cloud cover significantly affects the resulting insolation on a PV module, identifying and tracking cloud motion is useful to this end. This work presents a convolutional autoencoder (CAE) to identify clouds and a particle tracker to predict cloud movement. The CAE model integrates information from multiple approaches to cloud segmentation. Particle tracking is useful in areas such as Albuquerque, NM where clouds move in smaller fragments due to rapid variance in wind direction caused by nearby mountains. By combining neural networks and more classical technologies, the system becomes more robust and explainable then either image processing or pure neural network technologies, respectively.
Fair Connectivity-Oriented Allocation for Combined Resources in VCC Networks

The allocation and management of vehicular resources are essential in enabling services in Vehicular Cloud networks. Combined Resource Units (CRUs) allow for relaxed resource management by utilizing vehicular resources clustered in virtualized units and easing the fulfillment of service requests. Previous works have used mobility-based models such as SMDP and MDP for resource allocation. However, these models have presented significant system overhead, which has impacted the network's performance. Therefore, this work proposes a game theory model for assigning CRUs to satisfy service requests. The utility function of CRUs is maximized by playing a non-cooperative game between service requests. Two different game models are implemented based on exhaustive search and pruning methods. These models use distinct utility functions, which differ in terms of distance and signal strength of the CRUs. Comparing the performance of the two models, the pruning model offers a 90% success rate towards satisfying service requests.
Analysis of the User Experience for an Application Proposal Oriented to the General Medical Consultation Service

It has been shown that despite the growing number of applications focused on eHealth, there are few studies related to usability evaluations on this kind of applications. The present report seeks to provide this type of information by analyzing the experience of a set of users when interacting with a prototype for an application focused on attending the remote pre-paid general medical consultation service. The usability of the prototype that is designed is evaluated using a user-centered design methodology. The development of this research in turn generates a design description of the prototype used for the research, which provides a base product for future prototype improvements and usability assessments. The data captured during the tests demonstrated a high level of satisfaction and overall effective usability over the generated prototype. Therefore, both the prototype and the applied methodology are considered feasible for the development of future eHealth applications.
Performance Preserving Portability across GPU Architectures

Summary For developers, one of the challenges to maintain their code base is to address the issue of interoperability or portability of the application across different platform / GPU architectures. In this report, we shall explore tools and methodologies to enable porting of existing software to different GPU architectures with minimal changes, albeit keeping the performance number nearly the same, if not better.
CulturAI: Semantic Enrichment of Cultural Data Leveraging Artificial Intelligence

In this paper, we propose an innovative tool able to enrich cultural and creative spots ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">gems</i> , hereinafter) extracted from the European Commission <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Cultural Gems</i> portal, by suggesting relevant keywords ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">tags</i> ) and YouTube videos (represented with proper <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">thumbnails</i> ). On the one hand, the system queries the YouTube search portal, selects the videos most related to the given <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">gem</i> , and extracts a set of meaningful thumbnails for each video. On the other hand, each tag is selected by identifying semantically related popular search queries (i.e., trends). In particular, trends are retrieved by querying the Google Trends platform. A further novelty is that our system suggests contents in a dynamic way. Indeed, as for both YouTube and Google Trends platforms the results of a given query include the most popular videos/trends, such that a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">gem</i> may constantly be updated with trendy content by periodically running the tool. The system has been tested on a set of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">gems</i> and evaluated with the support of human annotators. The results highlighted the effectiveness of our proposal.
Cyber Security Is More than Just a Question of Information Technology

However, a growing cybercrime threat has been a significant issue for most countries even though information technology plays a vital role in economic and social growth Indian cybercrime has followed a pattern that is similar to the rest of the world in many ways. Regardless of whether the risks originate from inside or outside a company, cyber security measures are designed to protect networked systems and applications. A computer network, hardware, and software are all necessary components of information technology (IT). More specifically, cyber security focuses on securing computers, digital devices, and personal information from illegal access. A company that provides a variety of services linked to the protection of an organization's IT computer systems. To secure your company's sensitive data from illegal electronic access, you need information security, and to protect your company's sensitive data from unauthorised electronic access, you need cyber security. The subject of whether or not cyber security is more than just a matter of information technology is being asked all across the world. Thus, the study's goal is to examine the idea that cyber security is more than just a matter of information technology.
Training on Making Media (Chemistry Online Learning) as a Distance Learning Solution

The Covid 19 pandemic has hit all countries including Indonesia. Indonesia was hit by a pandemic starting in early March 2020. With this pandemic, Indonesia is required to be prepared for the potential spread of this virus. This is due to the geographical location of Indonesia which is directly adjacent to several countries affected by the spread of the Covid-19 virus as well as the development of globalization and increasingly smooth traffic between countries. One way to reduce the rate of spread of this virus is by implementing Large-Scale Social Restrictions (PSBB) so that all activities in schools and offices are carried out in a work from home (WFH) manner. Learning activities cannot be carried out directly so that learning in this period utilizes existing technology so that students still understand the material. As one solution to improving the quality of learning, the program activities make a product in the form of a learning video that is very interesting and fun so that students don't feel bored when participating in distance learning
Ελευθερία και αναγκαιότητα στη γλώσσα

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An Online Approach for Multi-Agent Path Finding Under Movement Uncertainty (Extended Abstract)

In this work, we address the problem of finding paths for multiple agents while avoiding collisions between them, where agents' actions have stochastic outcomes. The objective is to create a joint policy for all agents that minimize the expected sum of costs of getting all agents to their goals, while guaranteeing that collisions never occur. Unlike previous work on multi-agent pathfinding (MAPF), the stochastic outcomes are not limited to delays, and thus the set of locations each agent may end up at can be very large. Consequently, offline planning is prohibitively expensive since collisions between agents may occur in many locations and time steps, while avoiding them is a hard constraint. Instead, we propose a suboptimal online approach in which each agent follows its individually-optimal policy until it detected potential collisions in the future. Then, the potentially conflicting agents create a joint policy for resolving the potential collision. We evaluated this policy experimentally on existing an MAPF benchmark, modified to include stochasticity. The results show that we are able to find high quality solutions for non-trivial grids with up to 12 agents, significantly surpassing several baseline approaches.
A Visual Inspection Tool for Evaluation of ASR Model Using PyKaldi and PyCHAIN

We developed a tool to create and evaluate a transcript and an alignment of an utterance. The tool will display speech waveform and MFCC features on HTML5 canvas. It also shows transcript and phonemes alignment using PyKaldi and PyCHAIN. Maintainers of medical dictation systems will use this tool to examine speech waveform, MFCC features, transcription results, and phonemes alignment of an utterance in the evaluation process. PyKaldi is a Python scripting layer for the Kaldi speech recognition toolkit. At the same time, PyCHAIN is a fully parallelized PyTorch implementation of end-to-end lattice-free maximum mutual information (LF-MMI) training for the chain models in the Kaldi speech recognition toolkit. As a user guide, we demonstrate in this paper a use case for the operation of the tool's features to analyze the performance of the model by inspecting the transcript and the alignment of the utterance.
El lugar de la competencia digital en la enseñanza y aprendizaje de lenguas segundas y extranjeras

The globalized Information Society that has been taking shape in the 21st century with advances in new technologies requires its members to have a series of key skills, among which digital competence stands out as part of the capacity for permanent and autonomous learning. The Covid pandemic that we have been going through for almost three years has highlighted the need to train people in digital competence in order to continue carrying out their personal, educational and professional activities in all kinds of contexts and circumstances. The consultation of catalogues, bibliometric databases and digital repositories, such as Scopus, Dialnet or Recolecta, has allowed us to verify the interests that the subject arouses in the scientific community, particularly within the area of education. Thus, there is interest in identifying those digital skills that the teacher must master, in outlining the ICT skills that students need to acquire at each educational level, or in developing activities based on the specific use of applications or digital resources (use of blogs, wikis, social networks, gamification, etc.) for second and foreign language teaching.Using a fundamentally qualitative methodology, with a descriptive-interpretative epistemological orientation based on documentary analysis, the objective of this paper is to analyse the concept of digital competence and verify the place it occupies in the process of second and foreign language acquisition, especially following the publication of the complementary volume of the Common European Framework of Reference for Languages: Learning, Teaching, Assessment (CEFR) in 2020. To this end, a conceptual delimitation has been introduced between competence digital and a series of concepts related to it, such as digital literacy, information literacy or media competence, very present in contemporary academic, scientific, political and economic discourse; the concept of digital competence, understood as a macrocompetence, has been organized in the various (sub)competences it is made up of, and we examine the place that digital competence occupies in each person’s set of competences and in relation to the communication skills, mainly within the field of second and foreign language acquisition. After this systematic review, we conclude that, although the contributions of the complementary volume of the CEFR are undoubtedly important, they are specifically limited to audiovisual comprehension and online interaction, hence we end by proposing language activities that take into consideration all language skills and all channels of communication.
Formation of analytical competence in students of international economics by means of project technologies

Introduction. Against the background of the ongoing adaptation to the changing requirements of the business environment and increased competition in the pandemic environment, the properly formed analytical competence of international economist comes to the fore; at the same time, no research promoting favourable pedagogical conditions necessary for the formation of this competence by means of project technologies has been undertaken. The aim of this study is to test a set of project technologies aimed at shaping the analytical competence in international economics students. Research methods. The empirical basis of the research is represented by the results of long-term observation and the findings of group questioning involving 56 second-to-fifth year students majoring in “World Economy”, “Customs” and “International Tourism Management” at the “International Relations” faculty of Belarusian State University. Additionally, the results of the follow-up analysis and its substantial interpretation addressing the problem of formation of analytical thinking in international economists were taken into account. The Mann-Whitney U test implemented in the STATISTICA 6.0 statistical package was used to establish statistically significant differences between the groups. Results. The main problem in the formation of international economists’ analytical competence was a minor number of practical assignments. The authorly projects “Comparative analysis of competitiveness and investment attractiveness of Finland, Germany, Poland as a success map for Belarus” and “Development of tourist destination on the basis of village Priluki” were developed. At the control stage, statistically significant differences in analytical competence of students of the control and experimental groups were revealed in terms of cognitive knowledge, contextual strategy and targeted activity sub-components (p&lt;0.05). Conclusion. The project technologies developed and realised by the authors in the course of educational activities can be used by universities training international economists and other specialists within the bachelor training courses. The model realisation mechanisms can be used in extensive university practice by teachers concerned about the development of analytical competence.
DEVELOPMENT OF PROFESSIONAL COMPETENCIES OF FUTURE TEACHERS OF NATURAL SCIENCES

The article discusses the peculiarities of development of professional competencies of future teachers of Natural Sciences. The concept of "competence approach" is explained. Some aspects of value-based and motivational, cognitive, activity-based and axiological components of professional competence are analyzed.