Reviewerly/exHarmony huggingface dataset:
An Analysis of Issues and Trends in Portuguese Studies in South Korea through Text Mining

Portugal, positioned in the western region of Southern Europe, has established itself as a significant participant on the world stage since the era of exploration.Presently, numerous political, economic, and sociocultural elements in Portugal have captured the interest of scholars from diverse fields in the United States and Europe.Despite the ongoing scholarly focus on the state and developments of Portuguese studies in Western nations, limited research has been conducted on this subject in Asian countries.Therefore, this study aimed to navigate issues and trends in Portuguese studies in South Korea through a text-mining analysis.To this end, this study analyzed all Portugalrelated research articles published in Korean journals.A total of 231 articles published between 1996 and 2022 were collected, and keyword analysis and semantic network analysis were conducted based on this dataset.The main findings were as follows.First, the research on Portugal in Korea has covered a wide range of subjects, but the majority has been in the social sciences, including but not limited to studies on Portugal's politics, economy, society, culture, and policy.Second, studies treating Portugal as a single case study have been conducted in the context of the EU, Europe, CPLP, or Portuguese history, facilitating an in-depth understanding of Portugal's connectivity at different levels.Third, Portugal has also been treated as a case study in comparative research.Most scholars have compared Portugal to southern European nations with high geographical, linguistic, political, economic, and sociocultural similarities, especially Spain.This research holds significance as it represents the inaugural analysis of the patterns concerning Portuguese studies in Korea.
Integrating Agile Software Development Practice in a Classroom Setting

Aim/Purpose . This paper explores how best to implement Agile style courses into university curriculum. It is a starting point for teachers who are unsure how to structure their classes in an Agile way. Background. This paper explores the researcher’s experiences with Agile in the classroom, outside the classroom and in a professional setting. Recommendations are made on how to best introduce students to Agile concepts and prepare them for their careers. Methodology. This paper is an exploratory case study in determining whether or not students are properly equipped for their careers. Information was gathered through a qualitative interview administered virtually. The sample is taken from students who are recent graduates from public universities in the Midwest. Contribution. This study provides tangible and practical suggestions to best utilize Agile methodologies in an academic setting. Findings. A project-based learning class taught using the agile methodology would provide a beneficial and flexible class for students no matter where their careers take them. This style of class can be offered to any level of undergraduate student but more advanced students will likely get more out of it. Advanced students should be encouraged to work across disciplines to foster communication skills and provide valuable experience working with non-developers. Recommendations for Practitioners. Agile is not a silver bullet. Not all classes will be a good fit for this style of teaching. Practitioners should consider a blend of classes with different teaching styles. Recommendations for Researchers. Researchers are encouraged to explore different methodologies for including Agile development into a classroom environment. Impact on Society. This study will help to better prepare the next generation of software developers for eventual careers. Future Research. Practitioners and researchers can expand on this study by exploring a multi-year study following students who had Agile curriculum and students who received traditional class methods as they graduate and join the workforce. Researchers can explore other methods of implementing Agile in the classroom to further refine suggestions provided in this paper.
Noise Detection with Spectator Qubits and Quantum Feature Engineering

Designing optimal control pulses that drive a noisy qubit to a target state is a challenging and crucial task for quantum engineering. In a situation where the properties of the quantum noise affecting the system are dynamic, a periodic characterization procedure is essential to ensure the models are updated. As a result, the operation of the qubit is disrupted frequently. In this paper, we propose a protocol that addresses this challenge by making use of a spectator qubit to monitor the noise in real-time. We develop a machine-learning-based quantum feature engineering approach for designing the protocol. The complexity of the protocol is front-loaded in a characterization phase, which allow real-time execution during the quantum computations. We present the results of numerical simulations that showcase the favorable performance of the protocol.
FORMATION OF THE EDUCATOR'S VALUE ATTITUDE TO PERSONALLY ORIENTED EDUCATION IN THE PROCESS OF INNOVATIVE ACTIVITY

The work analyzed theoretical approaches to defining the concept of "value relationship", determined what problems exist in the innovations used by teachers in professional activity, what methods exist for forming the value attitude of pedagogical workers to the introduction of innovations in the education and training system. The purpose – to find out the peculiarities of the formation of the teacher's attitude to personally oriented education in the process of implementing innovative professional activities. Methodology. The method of analysis of scientific sources, the method of comparison, the method of deduction, the method of systematization, the method of comparison was used. Results. A comprehensive analysis of theoretical approaches to determining the essence of a teacher's value attitude to the results and conditions of professional activity was carried out, the development trends of personally-oriented education were determined, and the problems of the teacher's psychological attitude to the introduction of innovations in professional work were outlined. The work highlights the issues of personally oriented educational technologies in the activities of pedagogical workers. The formation of knowledge and skills of didactic support in the process of personally oriented education was also discussed. Practical implications. The results obtained during the conducted theoretical research. can be used during the teaching of disciplines in the course of pedagogical education in higher educational institutions. It is proved that the innovative activity of educators is reflected in the creation establishments of a new type, in the development and introduction of elements of a new content education, new educational technologies, in strengthening the ties between practice and science, turning to world pedagogical experience. innovative pedagogical activity associated with the rejection of relevant stamps, stereotypes in the upbringing, education and development of the child's personality, goes beyond current regulations. New regulations are being created personal-creative, individually-directed activity of the teacher. Value/originality. Ensuring innovative activity involves the study of theoretical issues of improving the educational process, the positive aspects of pedagogical theory, ideas and technologies that have already been researched and introduced into pedagogical practice. At the present stage, it becomes more and more obvious that traditional education, focused on the transfer of knowledge, skills, can't keep up with their growth.
EFEKTIVITAS PENGGUNAAN APLIKASI QUIZIZZ SEBAGAI KUIS INTERAKTIF TERHADAP KEMAMPUAN KOGNITIF DAN MOTIVASI BELAJAR MAHASISWA

This study aims to determine the effectiveness of using the Quizizz Application as an interactive quiz on students' cognitive abilities and learning motivation. This research approach is a descriptive quantitative approach. This type of research is quasi-experimental, with a one group pretest-posttest design. The sampling technique used is the total sampling technique. Data collection techniques using tests and non-tests were carried out using 35 multiple choice questions to determine students' cognitive abilities. Data analysis techniques using normality test, homogeneity test and hypothesis testing. The results showed that the quizizz application was effectively used as a learning evaluation tool for students' cognitive abilities and learning motivation.
DeepStream: Bandwidth Efficient Multi-Camera Video Streaming for Deep Learning Analytics

Deep learning video analytic systems process live video feeds from multiple cameras with computer vision models deployed on edge or cloud. To optimize utility for these systems, which usually corresponds to query accuracy, efficient bandwidth management for the cameras competing for the fluctuating network resources is crucial. We propose DeepStream, a bandwidth efficient multi-camera video streaming system for deep learning video analytics. DeepStream addresses the challenge of limited and fluctuating bandwidth resources by offering several tailored solutions. We design a novel Regions of Interest detection (ROIDet) algorithm which can run in real time on resource constraint devices, such as Raspberry Pis, to remove spatial redundancy in video frames and reduce the amount of data to be transmitted. We also propose a content-aware bandwidth optimization framework and an Elastic Transmission Mechanism that exploits correlations among video contents. We implement DeepStream on Raspberry Pis and a desktop computer. Evaluations on real-world datasets show that DeepStream's ROIDet algorithm saves up to 54\% bandwidth with less than 1\% accuracy drop. Additionally,DeepStream improves utility by up to 23\% compared to baselines under the same bandwidth conditions.
Analisis Strategi Penerjemahan Istilah Budaya pada Buku Cerita Anak dari Platform Let’s Read Asia

Children need a book that has moral values and provides opportunities for them to explore their imagination and their childhood world. Today, there are many translated books from various backgrounds in the world. Translated children's story books must be communicative in nature so that they are easy to understand and are able to attract children's attention, as well as provide a pleasant experience while reading. However, there are often obstacles to translation, one of which is cultural translation. For this reason, it is necessary to have an appropriate strategy for translating these cultural terms, especially story books for children. This research aims to analyze the translation strategies for cultural terms found in four selected children's story books from the digital library Let's Read Asia – The Asia Foundation so that the translators can take it as things into consideration to translate similar terms. These cultural terms are classified into five categories of cultural words according to Newmark (1988), then the translation strategies are identified. The author refers to the theory of cultural translation strategies from several experts such as Newmark (1988), Baker (2011), and Hoed (2006), some of whose strategies are similar to one another.
Enhancing Target Text Comprehension for Lay Audience through Paraphrasing

In translating English into Indonesian, paraphrasing technique is one of the procedures used to translate technical terms so they can be easily comprehended by the target audience. This article aims to highlight the use of paraphrasing in translating a scientific text titled “How Individuals Change Language” with lay audience as the main target. This paper used a qualitative method through analysis of the technique in translating the source text with two versions of translation being provided as steps, namely a default translation and a final one adjusted for the public. Each section provides a discussion of paraphrasing used to simplify the text’s technical terms. This article has received positive reviews from respondents proficient in English. This shows that paraphrasing technique is the best procedure used to translate texts with specific terms so they can be easily understood. This implies that translators of scientific texts with similar audiences may consider paraphrasing as one of the procedures to be used. This is because the procedure can be used to simplify and change various technical terms that are difficult to understand into their more intelligible counterparts.
Desain Aplikasi Database Sistem Informasi Akuntansi Sekolah pada Yayasan Ainur Rahmah

This study aims to develop an accounting information system database application for Ainur Rahmah Foundation school in West Pasaman, West Sumatra Province. The problem faced by the Ainur Rahmah Foundation is the absent of an information system to manage student data, tuition fees, admission of new students, receipt and disbursement of cash, purchase and use of consumables, acquisition and depreciation of fixed assets. The developed accounting information system database application consists of two main subsystems, namely the back-end and front-end. The back-end system uses DBMS MySQL Server 8.0 while the front-end system is developed using Microsoft Access 2010. Application modules and reports are developed on the front-end using the Visual Basic for Application programming language which is available in Microsoft Access database tools. Applications that have been developed are then tested for use by users to find out if there are errors and adjustments that must be made. After making adjustments based on the user trial stage, the application can be accepted by users and can be operated according to needs.
A Cosine Similarity-based Method for Out-of-Distribution Detection

The ability to detect OOD data is a crucial aspect of practical machine learning applications. In this work, we show that cosine similarity between the test feature and the typical ID feature is a good indicator of OOD data. We propose Class Typical Matching (CTM), a post hoc OOD detection algorithm that uses a cosine similarity scoring function. Extensive experiments on multiple benchmarks show that CTM outperforms existing post hoc OOD detection methods.
Philosophy of modern education: essence, content and orientation

The philosophy of modern education is a section of philosophy that deals with issues of education research, its role in the life of society, putting forward various pedagogical theories for the democratization and improvement of the educational process.As part of our research, we analyzed the content of the philosophy of education, its essence and direction. They characterized the vision of the philosophy of education in the works of its founder John Dewey and traced the relationship between the currents presented by the philosopher (practical learning, interdisciplinary approach, democratic classroom, reflective thinking, community involvement) on the potential results of the development of society (development of practical skills, development of cognitive skills, development public competence and compliance with public duties, development and improvement of metacognition, social interaction and culture).The study of Paulo Freire’s pedagogical theory of social justice, which developed under the influence of John Dewey’s current, also became valuable in the process of analyzing the problems of the philosophy of modern education. Central to Paulo Freire’s social philosophy was the understanding that in repressive dynamics the humanity of both the oppressor and the oppressed decreases. In turn, Freire’s philosophical concept rested on three main pillars: education as a tool for humanizing the individual through conscious actions aimed at transforming the world order; dialogue - as a pedagogical means of progressive learning; the “see, analyze and act” complex, which serves as the core of the philosopher’s methodology and consists in assessing the situation, its analysis, identifying the root causes of the occurrence of negative factors and active actions aimed at eliminating such factors while strictly observing the principle of social justice.It was determined that the philosophy of education should be understood as a field of philosophy that considers the development of education and society in their unity, offers pedagogical theories of educational activities, considers education as a lever for democratic changes and modifications. In turn, we see the concept of modern education in the presence of the following vector elements: humanistic education, digital education, hybrid education (mixed forms of education), inclusive education, individualized education, continuous education.
Constraint principal components for linear discrimination

In many modern data, the number of variables is much higher than the number of observations and the within-group scatter matrix is singular. Then, the Fisher's linear discriminant analysis (LDA) cannot be applied. The work considers a way to circumvent this problem by doing principal component analysis (PCA) enhanced with additional discriminating features. Two approaches are proposed: the original PCs are rotated to maximize the Fisher's LDA criterion, and second, penalized PCs are produced to achieve simultaneous dimension reduction and maximization of the Fisher's LDA criterion. Both approaches are illustrated and compared to other existing methods on several well known data sets.
End-to-end Speaker Recognition Based on MTFC-FullRes2Net

&lt;p&gt;The feature extraction ability of lightweight convolutional neural networks in speaker recognition systems is weak. And recognition accuracy is poor. Many methods use deeper, wider, and more complex network structures to improve the feature extraction ability. But it makes the parameters and inference time increase exponentially. In the paper, we introduce Res2Net in target detection task to speaker recognition task and verify its effectiveness and robustness in the speaker recognition task. And we improved and proposed FullRes2Net. It has better multi-scale feature extraction ability without increasing the number of parameters. Then, we proposed the mixed time-frequency channel attention to solve the problems of existing attention methods to improve the shortcomings of convolution itself and further enhance the feature extraction ability of convolutional neural networks. Experiments were conducted on the Voxceleb dataset. The results show that the MTFC-FullRes2Net end-to-end speaker recognition system proposed in this paper effectively improves the feature extraction and generalization ability of the Res2Net. Compared to Res2Net, MTFC-FullRes2Net performance improves by 31.5%. And Compared to ThinResNet-50, RawNet, CNN+Transformer and Y-vector, MTFC-FullRes2Net performance is improved by 56.5%, 14.1%, 16.7% and 23.4%, respectively. And it is superior to state-of-the-art speaker recognition systems that use complex structures. It is a lightweight and more efficient end-to-end architecture and is also more suitable for practical application.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Human Activity Recognition Based on CNN and LSTM

&lt;p&gt;Human activity recognition (HAR) based on wearable devices is an emerging field of great interest. HAR can provide additional information on a human subject&amp;rsquo;s physical status. Utilising new technologies for HAR will become very meaningful with the development of deep learning. This study aims to mine deep learning models for HAR prediction with the highest accuracy on the basis of time-series data collected by mobile wearable devices. To this end, convolutional neural networks (CNN) and long short-term memory neural networks (LSTM) are combined in a deep network model to extract behavioural facts. The proposed CNN model contains two convolutional layers and a maximum pooling layer, and batch normalisation is added after each convolutional layer to improve convergence speed and avoid overfitting. This structure yields significant results in terms of performance. The model is evaluated on the MHEALTH dataset with a test set accuracy of 99.61% and can be used for the intelligent recognition of human activity. The results of this study show that the proposed model has better robustness and motion pattern detection capability compared to other models.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
The Relationship Between Safe -haven Property and Cryptocurrency Market: Taking Bitcoin as an example

In this paper, the main research is whether Bitcoin has the property of hedge currency. It also shows how bitcoin and cryptocurrencies have fared in financial crises over the past 20 years. This is despite the fact that the volatility of bitcoin has long been debated around the world, and most people believe that a volatile and highly volatile currency is not a safe haven. But the fact is, although the birth time of bitcoin is very short, but in every financial crisis, it has a strong ability to rise, so to some extent, Bitcoin is actually a very realistic hedging property. And among cryptocurrencies, Bitcoin has the absolute suppression of hedge properties, compared with other altcoins. Bitcoin's rise and fall have been astonishing, but it has been remarkably stable compared to altcoins.
PENERAPAN MODEL SELF DIRECTED LEARNING DALAM PEMBELAJARAN MENULIS TEKS PUISI BERDASARKAN UNSUR PEMBANGUN PADA PESERTA DIDIK KELAS X SMAN 9 BANDUNG TAHUN PELAJARAN 2022/2023

This research is motivated by the low ability of students to write. This is caused by the lack of variety of learning models used by educators. The use of varied, creative and innovative learning models can make students more active and motivated during learning activities. One of the learning models that can be used is the self-directed learning model. The purpose of this research was to test the writer's ability to plan, implement, and assess learning to write poetry using the self-directed learning model, to test the ability of class X students at SMAN 9 Bandung in writing poetry, to test the effectiveness of the self-directed learning model in learning to write poetry , as well as to determine differences in writing ability between the experimental class using the self-directed learning model and the control class using the question and answer method. The research method used is a quantitative method with the type of quasi-experimental research using literature review, trial and error, observation, and test techniques. The data obtained were in the form of students' pretest and posttest from both the experimental class and the control class. The results of this study: 1) The author is able to plan, implement, and evaluate learning to write poetry using the self-directed learning model with an average planning score of 3.7 and an implementation value of 3.9. 2) The ability of students in writing poetry has increased with an average pretest score of 55.4 to a posttest with an average score of 82,9. 3) The self-directed learning model is effectively used in learning to write poetry. This is evidenced by the results of the Mann-Whitney test with sig. 0.000 &lt;0.05 there is a significant difference between the experimental class and the control class. Based on the explanation above, the self-directed learning model is effectively used in learning to write poetry.