Reviewerly/exHarmony huggingface dataset:
SOCIAL RESPONSIBILITIES AS ONE OF THE KEY PROFES-SIONAL COMPETENCIES OF THE 21ST-CENTURY GRADUATES

Purpose. The given article is devoted to the issue of social responsibilities in the educational context. The purpose of the article is to analyze the concept of social responsibilities as one of the main professional competencies and its reflection in educational results of higher education.&#x0D; Methodology. The methods of descriptive and evaluative analysis and synthesis are applied. This work covers the latest research results, normative documents, cur-rent trends in the labor market, as well as issues of psychological adaptability and social responsibility of those to secure the future of the economy. The authors prove that social responsibility is crucial in the 21st century.&#x0D; Results. The necessary conditions for the sustainable development of modern socie-ty are economic stability and continuous professional growth of the participants of social interactions. Higher education aims to develop students’ hard skills and their soft skills, which are currently referred to as life competencies. The paper reveals the conditions that need to be created within the framework of the educational pro-cess for the graduates to meet the requirements of the labor market. The work de-scribes the tendencies and the potentials of the higher educational system to provide its graduates with appropriate career trajectories. The ongoing transformation of the Russian educational system carried out according to current requirements of the society, contributes to the relevance of this study. The results of the research can be applied in teaching process at higher educational establishments.
Effectiveness of Using The Wordwall Application on Student Learning Outcomes

Abstract: Effectiveness Of Using The Wordwall Application On Student Learning OutcomesThis study aims to describe the effectiveness of using the wordwall application on student learning outcomes of Madrasah Ibtidaiyah Teacher Education Study Program for Mathematics MI. This research method is descriptive quantitative experiment. The design to be used is Design One Pretest-Posttest Group. The subjects of this study were 31 students of the Al-Azhaar Lubuklinggau Islamic Elementary School Teacher Education Study Program. The instrument used is 25 multiple choice questions, the instrument has been tested for validity and reliability. The analysis technique used is the normality test and hypothesis testing. The results of the study by testing the paired sample test showed that the asym sig. (2-laid) of 0.00 &lt;0.05 so that H_O is rejected and H_a is accepted, which means that there is an effectiveness of the application of the wordwall application on student learning outcomes of Madrasah Ibtidaiyah Teacher Education Study Program for Mathematics MI. It can be concluded that wordwall learning media (X) has a significant effect on student learning outcomes of the Al-Azhaar Lubuklinggau Islamic Institute of Islamic Religion (IAI) Teacher Education Study Program.Abstract: Efektivitas Menggunakan Aplikasi Wordwall Tentang Hasil Belajar Siswa.Penelitian ini bertujuan untuk mendeskripsikan efektivitas penggunaan aplikasi wordwall terhadap hasil belajar mahasiswa Prodi Pendidikan Guru Madrasah Ibtidaiyah Mata kuliah Matematika MI. Metode penelitian ini adalah deskriftif kuantitatif eksprimen. Desain yang akan digunakan adalah Design One Grup Pretes-Posttest. Subjek penelitian ini adalah 31 mahasiswa Prodi Pendidikan Guru Madrasah Ibtidaiyah Institut Agama Islam (IAI) Al-Azhaar Lubuklinggau. Instrumen yang digunakan yaitu 25 butir soal pilihan ganda, instrument tersebut telah dilakukan uji validitas dan uji reliabilitas. Teknik analisis yang digunakan adalah uji normalitas, dan uji hipotesis. Hasil penelitian dengan pengujian paired sampel test menunjukan bahwa nilai asym sig. (2-lailed) sebesar 0,00 &lt; 0,05 sehingga ditolak dan diterima yang artinya adanya efektivitas penerapan aplikasi wordwall terhadap hasil belajar mahasiswa Prodi Pendidikan Guru Madrasah Ibtidaiyah Mata kuliah Matematika MI. Dapat disimpulkan bahwa media pembelajaran wordwall (X) berpengaruh signifikan terhadap hasil belajar mahasiswa Prodi Pendidikan Guru Madrasah Ibtidaiyah Institut Agama Islam (IAI) Al-Azhaar Lubuklinggau.
RETROSPECTIVE ANALYSIS OF THE FORMATION AND DEVELOPMENT OF MAGISTRACY IN RUSSIA AND ABROAD

Purpose. To carry out a retrospective analysis of periods of formation of magistracy in Russia and abroad and to describe key changes and trends that have influenced its development. Consider the stages of transformation of preparation of masters of electrical profile on the example of Russia.&#x0D; Methods. The study used historical analysis, analysis of normative documents, which allowed to study the process of transformation of the magistracy in Russia and abroad.&#x0D; Results. The study revealed the following key trends that contribute to the establishment and development of the magistracy: positive dynamics of the increase in the number of applicants for the magistracy, modernization of master’s degree programs, a tendency to expand the target of master’s education: from the training of research and scientific-pedagogical personnel to the training of highly qualified specialists.
Multi-scaled attentive style transfer based on dilated convolution

Image style transfer aims to apply artists painting styles to various images. Many approaches seek different purposes, but a general tendency is to increase efficiency and enable arbitrary style inputs. The state-of-art method is the adaptive convolutional network which expands the process of feature mixture into a layer-wise adjustment that superior previous work by presenting results that is more aware of detailed structures. However, the encoding process that guides the entire stylized revision is unaware of multi-scaled information. We designed an improved version of the style feature encoding procedure in our work. With the introduction of dilated convolution with a different rate, the output stylized image is better at spatial texture migration and color distribution determination. We also come up with a hybrid objective that better measures the spatial dissimilarity between content and style features.
Impact of ICT integration in Science Classrooms at One of the Middle Secondary Schools

The purpose of this study is to explore the impact of ICT integration in science classrooms at one of the middle secondary schools of Bhutan. This study adopted a mixed-method approach with a pretest-posttest control group design. Tools used for the data collection were semi-structured interviews, survey questionnaires, class observation, and test questions. Qualitative data were analysed thematically, while quantitative data were analysed using descriptive statistics such as mean and standard deviation. The finding of the study revealed that the integration of ICT in the science classroom enhances students’ engagement and academic achievement in the test. Further, online science resources such as websites and YouTube videos were found to be more effective in learning science. In addition, 3 prominent challenges in integrating ICT in the science classroom were found to be; insufficient gadgets, inadequate network facilities, and misuse of the gadgets by students.
From Simulated to Real Environments: Q-Learning for MAZE-Navigation of a TurtleBot

MAZE environments are popular test environments for reinforcement learning techniques as they are characterised by a sequence of discrete decisions of a learner, i.e. a multi-step learning problem where the reward is just available after reaching a goal. Further, MAZE scenarios can easily be altered to change the complexity of the learning problem. However, this is usually done in simulations and is seldom based on real hardware. In this paper, we investigate how far the simulation-based results can be transferred to an example platform, the ROBOTIS TurtleBot3 system. We explain the concept of setting up a discrete environment that is perceivable by the robot, investigate the behaviour of a Q-learner in simulations and describe how far the simulation-based behaviour can be reproduced with the robot.
Unsupervised Representation Learning: Target Regularization for Cross-Domain Sentiment Classification

This article proposes an autoencoder-based domain invariant feature representation learning approach to domain adaptation and the cross-domain text classification problem. Finding domain invariant feature representations is a transfer learning method for transmitting knowledge between source and target domain data. Our method aims to avoid the overfitting of an autoencoder model on source domain training data in a trained embedded feature space using a target regularization technique. We hypothesize that when forcing the semantic similarity of target domain representation to source domain representation by adding the source domain similarity penalty to reconstruction loss during autoencoder training, the penalty is greater when the the domain’s representations separability is. In this work, we contribute to domain adaptation by demonstrating that a regularization technique based on an auxiliary pretrained domain classification model can be used to build robust, shared domain feature representations. Our model achieves a classification accuracy improvement in standard cross-domain sentiment classification tasks over the baseline model in most cases.
Monte Carlo Tree Search with Metaheuristics

Monte Carlo Tree Search/Upper Confidence bounds applied to Trees (MCTS/UCT) is a popular and powerful search technique applicable to many domains, most frequently to searching game trees. Even though the algorithm has been widely researched, there is still room for its improvement, especially when combined with metaheuristics or machine learning methods. In this paper, we revise and experimentally evaluate the idea of enhancing MCTS/UCT with game-specific heuristics that guide the playout (simulation) phase. MCTS/UCT with the proposed guiding mechanism is tested on two popular board games: Othello and Hex. The enhanced method clearly defeats the well-known Alpha-beta pruning algorithm in both games, and for the more complex game (Othello) is highly competitive to the vanilla MCTS/UCT formulation.
Mining Correlated High-Utility Itemsets Using the Cosine Measure

High utility itemset mining (HUIM) is a problem posed to find itemsets in transaction database with high utility. However, using only utility as selection criterion makes most of the found itemsets have a very low correlation between their items, therefore it cannot be effectively applied in practice. Fast correlation high-utility itemset miner (FCHM) is an efficiency algorithm that applies correlation to HUIM problem to discover correlated high-utility itemsets (CHIs). The correlation measures used in FCHM include bond and all-confidence. This paper proposes a new version of FCHM algorithm by using cosine measure to calculate correlation between items which is $${\mathrm{FCHM}}_{cosine}$$ . Experimental results on three benchmark real-life datasets show that the proposed algorithm not only significantly reduces weakly correlated itemsets but also improves running time and memory consumption.
IMPROVEMENT OF THE STUDENTS MOTIVATION IN FORMING PROFESSIONAL FOREIGN LANGUAGE COMPETENCE

The article deals with the issues of students’ motivation for foreign language learning in non-linguistic universities. Motivation is regarded as a factor giving focus to educational activities, dynamic character and determinant of its success. The paper presents a theoretical analysis of methods to improve students’ motivation in learning foreign languages and results of the research carried out at the medical university. During the research we studied students’ foreign language level: knowledge and skills, willingness to learn a professional foreign language with the use of an interview and a placement computer test. A survey of the 1st year students in order to find out the motives for learning foreign languages with the help of a special questionnaire developed by us was conducted. Such diagnostics made it possible to obtain information about students’ level of motivation in foreign language learning, their initial level of proficiency, and understanding the purpose of learning foreign languages. To improve students’ motivation a model of professional foreign language communicative competence development in e-learning environment was designed and introduced into the educational process of the medical university. The content-procedural module of the presented model includes technologies of foreign language virtual communication: e-mail, webinars, videoconferencing, an LMS Moodle. The authors believe that the students’ motivation in foreign language learning is associated with the prospective personality development, namely the formation and development of professional competencies, mastering new knowledge and skills, getting experience.
DIGITAL LITERACY AS A TOOL FOR FOSTERING ENGAGEMENT AND MOTIVATION IN ONLINE/HYBRID ESP CLASSES

Technology is inevitably connected to the teaching/learning process. It helps instructors, but at the same time, technology transfers responsibility for learning to students. Students can guide their learning at their own pace, direct their progress and have access to course content by participating in online/hybrid learning. That is why digital skills are essential in today’s education and society. But, what digital skills are needed to learn and thrive today? How about the skills needed to encourage engagement and motivation in learning? Digital literacy and confidence for everyone involved in education have become more vital than ever.This paper describes the results of a one-semester English for Information Technology course at the South East European University in Macedonia to determine if the core curriculum items provide motivation for students engaged in online/hybrid class. Also, it determines whether the students have the capabilities and skills to participate entirely in the digital society.The hybrid model discussed in this paper is the concurrent teaching-learning model. In this model, the author taught some students who were in person with her in the physical classroom, and at the same time, the teacher’s instruction was being streamed live through Google Meet with other students logged in at home. The teaching/learning process results will show why it is necessary to change our classroom practices in the modern education system.
E-LEARNING WEB APPLICATION FOR TEACHING ENGLISH FOR SPECIFIC PURPOSES - “ENGLISH AT A CLICK”

The web application "English at a Click", presented in this paper is used for learning specialized English. The application can be integrated into a part of a larger distance learning system, used as a supplement to traditional learning or as an independent web application. The current version of the application is implemented as an independent web application. The basic goal is to show the different contexts in which an English word can be used, which helps the user to choose the most appropriate term when translating a text from English into Serbian language and inversely. The application is in the prototype phase and it’s being tested. The tool presented in this paper was created on a free workspace on Oracle Cloud that the author uses for teaching purposes. The application was created with the idea to facilitate the learning of specialized English using modern technologies. The main advantage of the application compared to similar solutions is that it allows automatic text editing. The words from the text are replaced by the selected synonym only in the sentences that the user marks, very simply, with just a few clicks.
COMPRESSED AND IMPLICIT SYNTACTIC FEATURES OF L2 ENGLISH ACADEMIC RESEARCH WRITING BY FILIPINO RESEARCH WRITERS ACROSS DISCIPLINES: A CROSS-ANALYSIS

Compressed and implicit nominal phrases as syntactic features of academic writing (Biber &amp; Gray, 2010, 2016) are underexplored in L2 academic research writing. In this study, I cross-examined attributive adjectives, nominal prepositional phrases, noun premodifiers, and appositive nouns phrases in qualitative and quantitative research articles (RAs) authored by Filipino research writers (FRWs) across Applied Linguistics, Measurement and Evaluation, and Sociology using Biber, Johansson et al.’s (1999, 2021) framework. Major results revealed that attributive adjectives, nominal prepositional phrases, and noun premodifiers extremely co-occurred across the disciplinary RA sub-registers. A significant difference exists between the three nominal phrases and appositive noun phrases. Nonetheless, their frequencies of use also differed in RA sub-registers across disciplines. In conclusion, the three leading embedded phrasal modifiers are universal and the most functional compressed and implicit syntactic features of the five disciplinary RA sub-registers. FRWs employ the three nominal phrases as they are much more flexible than appositive noun phrases. Overall, they characterize L2 academic research writing and make it a highly nominal academic written discourse regardless of its disciplinary origin and research nature. In line with these, the study’s implications for academic writing pedagogy are emphasized.
Open4DE Spotlight on the Open Access Landscape in Lithuania

&lt;em&gt;Authors: Malte Dreyer, Maike Neufend and Martina Ben&lt;/em&gt;z Open Access is developing in an area of tension between institutional and funder policies, the economics of publishing and last but not least the communication practices of research disciplines. In a comparison across European countries, very dynamic and diverse approaches and developments can be observed.
Investigating Character-Building Values in English Textbook Entitled Bahasa Inggris for Grade X

This research aims to investigate (1) the character-building values presented in the English textbook entitled Bahasa Inggris for grade X, and (2) the way character-building values were presented into its materials. The researcher referred to 18 character-building values mandated by the Ministry of National Education (2010). This research used a qualitative research method using content analysis. The data used in this research were the sentences contained in this textbook. The results showed that the English textbook entitled Bahasa Inggris for grade X contained all the character-building values, the most of which was the friendly/communicative value with percentage of 16% and the least of which was the tolerance value with percentage of 1%. There were two techniques of integrating characters that were found in the textbook, namely explicit and implicit techniques. The results of this study are expected to be able to give instances to the English teachers so that they can appropriately give these characters to students and be more selective in choosing a textbook or a learning method.&#x0D; &#x0D;
Replication of Quantum Computing towards an Unconventional Environment using QuIDE

Current quantum computer simulation strategies are inefficient in simulation and their realizations are also failed to minimize those impacts of the exponential complexity for simulated quantum computations. We proposed a Quantum computer simulator model in this paper which is a coordinated Development Environment – QuIDE (Quantum Integrated Development Environment) to support the improvement of algorithm for future quantum computers. The development environment provides the circuit diagram of graphical building and flexibility of source code. Analyze the complexity of algorithms shows the performance results of the simulator and used for simulation as well as result of its deployment during simulation.
Assimilation Result of Watermarking and Image Compression

In these days’ digital international, trade of statistics is been held electronically. Therefore there arises the exceptional want for secure transmission of the concerned facts. Various practices like cryptography, watermarking, compression and so forth. Is common seeing that beyond few years? All these strategies were proved to be terrific of their respective paintings concerning protection. In this paper a brand new approach has been provided to provide safety at stronger stage. Here the two techniques specifically watermarking and compression are combined together to decorate the extent of security for statistics transmission motive. Here the watermarking the usage of DCT method is been combined with picture compression technique the usage of stepped forward adaptive Huffman encoding. The progressed adaptive Huffman coding approach is been based on Huffman set of rules. This new compression set of rules no longer most effective reduces the number of skip required to encode the records however at the same time reduces the garage area in comparison to adaptive Huffman and static Huffman respectively. The ultimate result Cozy records transmission
Implementasi Aplikasi Sentimen Pada Data Twitter Jelang Pemilu 2024

Elections are one of the most important democratic processes, giving citizens the right to choose their leaders. In today's digital era, social media is an increasingly important information source influencing public perception. Twitter has been a social media from the past until now that still exists in finding information. Tweets are one of the most frequently used services to express opinions or opinions to the public. Sentiment analysis as an application of Natural Language Processing (NLP) is helpful in understanding public opinion towards prospective leaders and issues discussed during election campaigns. The motivation for this study is to conduct text classification using a deep learning model called LSTM and to compare the use of oversampling and non-oversampling methods. This research started by collecting datasets from Twitter, labelling, pre-processing, creating and evaluating the model, and implementing it into the web application. The experiment showed that the random oversampling technique gets more significant accuracy than non-oversampling. Random oversampling produces an accuracy of 0.82 at epoch 25, while non-oversampling reaches an accuracy of 0.61 at epoch 50
Instance-Agnostic Geometry and Contact Dynamics Learning

This work presents an instance-agnostic learning framework that fuses vision with dynamics to simultaneously learn shape, pose trajectories, and physical properties via the use of geometry as a shared representation. Unlike many contact learning approaches that assume motion capture input and a known shape prior for the collision model, our proposed framework learns an object's geometric and dynamic properties from RGBD video, without requiring either category-level or instance-level shape priors. We integrate a vision system, BundleSDF, with a dynamics system, ContactNets, and propose a cyclic training pipeline to use the output from the dynamics module to refine the poses and the geometry from the vision module, using perspective reprojection. Experiments demonstrate our framework's ability to learn the geometry and dynamics of rigid and convex objects and improve upon the current tracking framework.
The Role of Technology in Enhancing Child Mental Development and Education in India

Technology has revolutionized various aspects of society, including education. In India, where child mental development and education are of paramount importance, leveraging technology can have a profound impact. This paper explores the role of technology in enhancing child mental development and education in India. It discusses the potential benefits, challenges, and considerations associated with integrating technology into educational practices. The paper highlights specific areas where technology can contribute, such as personalized learning, interactive platforms, digital resources, and remote learning opportunities. Furthermore, it addresses the digital divide and emphasizes the need for equitable access to technology. By harnessing the potential of technology, India can create inclusive and innovative learning environments that foster mental development and provide children with the necessary skills for the future.