Reviewerly/exHarmony huggingface dataset:
Automatic Generation of Algebraic Representation for Physics Problems

&lt;p&gt;During today’s e-learning era, students often need to opt for self-study sessions to solve word problems. Word problems are generally solved by transforming them into corresponding algebraic equations. This paper presents an approach for automatically generating such algebraic representations for any word problems in the physics domain. The current system first suggests a suitable template to generate an abstract version of the given word problem. These templates are formed with one or more equations, replacing specific values with generic variables. The motivation for choosing such templates was limiting the number of possible templates to the minimum to reduce further ambiguities. Once the templates are predicted, the values for the variables are tagged by parsing the word problems using named entity recognition (NER) based and rule-based approaches. While developing and assessing our system, we collected a database of Physics word problems and asked experts to determine their algebraic representations manually. Inconsistencies are filtered out using proper preprocessing and normalization measures. Although our system is a preliminary step towards automatically solving physics word problems, the template generation and tagging modules performed their corresponding tasks with around 70% accuracy.&lt;/p&gt;
Problems and ways of improving project-oriented learning in Ukraine

Project-based learning is a student-centered learning process that provides opportunities to explore and combine theory and practice. This study aims to examine student responses after their participation in project-based learning and identify the skills that students have improved after completing the project-based learning process, using its 4 stages. An experimental verification of the possibilities of applying project-based learning project-based learning for students to acquire project competencies through the development and implementation of their own projects was conducted. A total of 70 students who studied at the faculties of management under the educational program "Project Management" participated in the study. The results showed a positive reaction of students to their experience of participating in project-based learning, which combines elements of theory and practice. In addition, the results of this study showed that project-oriented learning has a positive impact on the development of behavioral competencies of students and their further professional orientation. Students responded that thanks to project-based learning they have improved their thinking skills, problem-solving skills, gained a sense of self-realization, as well as teamwork skills. The work has further developed the iterative learning method by applying it to assess professional competencies in project management in different ways of learning: on personal experience, the experience of other lecturers and students, or combined learning in the first and second way. The proposed mathematical method for calculating the time for students to acquire project management competencies allows you to calculate whether a graduate, if included in a group, will have time to master the reference set of professional competencies, as those that are laid down in the educational program. The scientific novelty of the study lies in the application of project-based learning for students to acquire project competencies. The results of the study are confirmed during the experimental verification of the impact of project-based learning on students during the development and implementation of their own projects. The practical value of the study lies in helping educators to improve the quality of education. The study showed that project-based learning is an effective method for students to acquire project competencies. The article may be of interest to educational workers, scientists, and practitioners in project management.
A Pragmatic Analysis of Politeness Strategies of Online Chatting Employed by Iraqi EFL Students in Al-Anbar Distinguished Schools

The aim of this paper is to identify the politeness strategies employed by Iraqi EFL students in Al-Anbar Distinguished Schools which is regarded an area that is infrequently investigated by scholars. To attain this aim, the participants of the study were selected from Al-Anbar Distinguished Schools, represented by 53 female students and 50 male students during the academic year (2021-2022) to be in direct and frequent online interaction (via text messages) with each other as students, and with their teachers of English language. Consequently, WhatsApp and Telegram groups were created for this online chatting. A qualitative research design was conducted whereby online text chatting was collected to ensure the data of this study. The collected data were analyzed qualitatively by using content analysis procedure based on Brown and Levinson’s (1987) model of politeness strategies. The findings of the study revealed that the participants utilized various types of politeness strategies in their communication via online chatting. Based on the calculated frequencies and percentages, Positive Politeness Strategies were the most frequently used (dominant type), then Negative Politeness Strategies, Bald On-Record and Off-Record Politeness Strategies respectively. Additionally, the findings indicated that Off-Record Politeness Strategies were used rarely by the participants of the study.
Discourse Techniques and Mechanisms of Their Operation on Modern Poetic Text (Stranger on The Gulf) as a Model

The research aims to study an important aspect of the technical modernity that occurred in the literary texts in the modern era, in which the poet used many stylistic techniques that contributed to the development and modernization of his text and make it more suitable for the taste and faster to reach the recipient. This study, which falls under the investigations of linguistics, monitors the renewal mechanisms provided by the modern poet in his texts and what he carried of communicative energy capable of penetrating the privacy of the addressee and conquering him with greater ease and ease.
Deep learning model with hierarchical attention mechanism for sentiment classification of Vietnamese comments

In the current digital era, text documents become valuable for businesses to reach potential customers and curtail advertising costs. However, extracting and classifying beneficial information from texts can prove challenging and time-consuming, particularly in complex languages like Vietnamese. This study aims to classify the sentiment of Vietnamese comments on e-commerce websites into negative and positive classes. To enhance the performance of sentiment classification, the study fine-tuned traditional models of Convolutional Neural Networks and Recurrent Neural Networks (RNN). Then, this research proposed a combination of RNN and attention mechanisms at the word and word-and-sentence levels of the input document. The results showed an impressive accuracy of 93.72% and an F1 score of 93.7% on the RNN model with a word-and-sentence-level attention mechanism. This research outcome contributes to the field of text classification and could be applied in opinion mining, customer feedback analysis, and natural language processing. Future work aims to enhance sentiment analysis accuracy and expand the models’ scope to encompass more languages.
A SoC Design for Future Mobile DNA Detection

Existing miniature DNA sequencing devices hold significant promise to serve as mobile/personal genomic analysis systems in the future. But a key challenge to this vision is the absence of adequate low-power bioinformatic computing ability within the sequencing device itself. In this paper we discuss the design and demonstrate a system-on-chip (SoC) based on an accelerated RISC-V core for such a task. The chip was fabricated in 22-nm CMOS and executes almost 10X faster than a commercial mobile processor on a DNA sequence detection task while achieving 200X better energy efficiency.
SegFree: Segmentation-Free Generative Linguistic Steganographic Approach for Unsegmented Languages

&lt;p&gt;Generative linguistic steganography aims to embed information into natural language texts with imperceptibility to achieve covert transmission, while segmentation ambiguity in unsegmented languages could induce decoding errors. Existing disambiguating ways are based on removing tokens of candidate pools, which could degrade statistical imperceptibility, potentially incurring safety risks. To avoid damaging imperceptibility, we focus on keeping candidate pools lossless meanwhile tackling segmentation ambiguity. In this paper, we propose SegFree, a segmentation-free generative linguistic steganographic approach for unsegmented languages. First, we present an adaptive-checksum verification method to filter errors caused by segmentation ambiguity. The sender appends adaptive-length checksum to the original covert message and embeds the whole message into steganographic texts, and correspondingly the receiver extracts and verifies all potential results through our proposed all-case extraction. The checksum length is adaptive and perceptible in both sides, to minimize checksum overhead and adapt to various cases. Further, in order to transmit large-scale messages and deter knowledgeable adversaries from extracting messages, we present a key-based and anti-extraction steganographic mode where the input parameters for each grouped message can be only accessed by both sides. Experiments show that SegFree with lossless candidate pools achieves about 40% higher imperceptibility and over 30% higher embedding capacity compared to linguistic steganography equipped with the existing disambiguating approach. Besides, SegFree obtains more than 99.60% success rate of preventing adversaries’ extraction.&lt;/p&gt;
Testing Pair-Wise Convergence of Western Balkan and European union Countries

The present research performs the GDP per capita convergence analyses of Western Balkan (WB) countries to European Union (EU) countries. There are few testing convergence methods based on theoretical insights on the neoclassical model, however pairwise convergence method doesn’t seem usually applied in the case of WB and EU countries. The test of convergence hypothesis in this research is based on the GDP per capita’s data, constant 2017 international $ in PPP terms, made available by the World Bank. The pairwise convergence test suggested here can be considered as an extension of Webber and While (2003, 2004, 2009) methodology. The outcomes have been compared to Bernard, Durlauf (1995) and Pesaran (2006) methodology of the pairwise convergence, by adapting ADF time series tests of the stationarity. In conclusion, despite to the controversy of one pair case, the comparative process of both methods seems to be aligned. However, further investigation needs to be performed to confirm the effectiveness and efficiency of this suggestion.&#x0D; Keywords: GDP per capita, pairwise convergence, Western Ballkan countries, methodology
Career Planning of Scientific-Pedagogical Personnel in Higher Education Institutions

The article systematizes approaches to the interpretation of the concepts "career" and "career planning" of scientific-pedagogical personnel in higher education institution. The structural-logical scheme for the step-by-step career planning of higher education institutions’ scientific-pedagogical personnel is developed in the article. It is proposed to use 6 consecutive stages for planning the career of scientific-pedagogical personnel: making a management decision on the feasibility and necessity of organizing the career planning of scientific-pedagogical personnel in higher education institution, developing a plan-schedule for planning the career of scientific-pedagogical personnel of higher education institution, formation of initial database of individual data of higher education institutions’ scientific-pedagogical staff, assessment of professional and personal qualities of scientific-pedagogical staff of higher education institution, development of individual career planning maps of scientific-pedagogical staff of higher education institution, formation of favorable social and psychological conditions of successful career advancement of scientific-pedagogical staff of higher education institution. In addition, at each stage, it is absolutely necessary to monitor the implementation of the career plan of scientific-pedagogical personnel.&#x0D; With the help of correlation analysis, the conformity indicators of scientific-pedagogical personnel (which must be used at the stage of evaluating their professional and personal qualities) are determined.&#x0D; &#x0D; Keywords: Career; Planning; Education, Conformity Indicators; Correlational Analysis
Privacy-Preserving Fine-Tuning of Artificial Intelligence (AI) Foundation Models with Federated Learning, Differential Privacy, Offsite Tuning, and Parameter-Efficient Fine-Tuning (PEFT)

&lt;p&gt;Artificial Intelligence (AI) Foundation Models (FMs), pre-trained on massive datasets, have recently emerged as a pivotal asset in a wide array of tasks. Examples of FMs include Large Language Models (LLMs), Large Vision Models (LVMs), and Large Multimodal Models (LMMs). The adaptability of FMs, achieved through finetuning, enables these models to perform exceptionally across diverse domains. However, the fine-tuning process often entails data centralization, which raises privacy concerns. For instance, in healthcare, hospitals might want to fine-tune an AI model on patient records. Sending this data to a central server for fine-tuning can raise privacy concerns. To mitigate the privacy challenges, this research seeks to employ privacy-preserving technologies such as federated learning (FL), differential privacy (DP), and emulator-based tuning (i.e., offsite tuning) in combination with parameter-efficient fine-tuning (PEFT) techniques to refine FMs without compromising data privacy.&lt;/p&gt;
Signs of the anthropological paradigm in professional education

The paper is of importance due to the developing poly-paradigmatic approach in the pedagogical theory and practice. Diverse content of numerous paradigms influences both, the methodology of bringing up educational issues and solving every-day practical tasks of the educational process. The purpose of the article is to reveal certain signs of the anthropological paradigm and indicate whether it is possible to develop them in professional education. It is mentioned that the dominant educational paradigm is set in accordance with the pattern of the society. Differing approaches to define the number and the content of paradigms in education are compared. It is shown that opposing classical paradigm (in all its variations) to the humanistic one is counter-productive. The idea of the anthropological paradigm having potential to bringing them together is expressed. Some signs of the anthropological paradigm are defined. They are the shift from information to knowledge, technology-advanced professional activity, and virtual occupation. It is shown that the signs mentioned are found in professional education. The conclusion is drawn that in accordance with the inner logic of the system development these spot changes, caused by the signs mentioned are to become the areas of the system’s growth.
Individual psychological prerequisites for self-realization of IT specialists

The relevance of the study is due to the poor development of the problem of professional self-realization of IT specialists. The specificity of the professional activity of this category of employees imposes special requirements on their individual psychological characteristics, which ensure the success of self-realization of specialists engaged in information and computer activities. Purpose: to identify the specifics of self-realization of IT professionals with different individual typological features. Hypothesis: a set of certain individual-personal characteristics forms different individual-psychological types of IT specialists, which act as a prerequisite for professional self-realization of the subject of this profession. Participants: employees of leading Russian IT companies (Moscow) (N = 154) – 42 women and 112 men aged 22 to 44 (average age 32.09±5.71). Methods (tools). To study the individual and personal characteristics of IT specialists, the following were involved: “IndividualTypological Questionnaire – ITQ” (L. N. Sobchik), “Personality Questionnaire – EPI” (G. Eysenck), questionnaire “Strategies for Coping with Stressful Situations - SACS” (S. Hobfall). When identifying the specifics of self-realization of IT specialists with different individual typological features, the “Multidimensional Questionnaire of Personal Self-Realization” (S. I. Kudinov) was used. Results: it was found that such characteristics as “anxiety”, “sthenicity”, “extraversion” and “lability” are leading ones in the structure of individual traits of IT-specialists. The dominant coping strategies of IT-specialists are “entering into social contact”, “search for social support”, “cautious actions”. As a result of cluster analysis, three types of individuality of IT-specialists were identified and characterized: “introverted-confident”, “extroverted-active”, “extraverted-prosocial”. According to the results of a comparative analysis the data on the configuration of the types of self-realization in each cluster are presented. It has been established that specialists of the “introverted-confident” type demonstrate the highest rates in all types of self-realization: personal, social and professional. This allows us to consider this type of personality as the main predictor of effective self-realization of IT specialist’s personality. Main conclusions: 1) there is a certain specificity in the manifestation of self-realization of IT specialists with different individual typological features; 2) the practical significance of the study is emphasized in the context of psychological support for the professional self-realization of IT specialists, taking into account their personal characteristics.
Problems of the international forum “Humanization of the educational space” in the Year of the Teacher and Mentor: Analytical review

The results of the international forum “Humanization of the educational space: the culture of the educator” were summed up, held on April 19–20, 2023 at Chernyshevsky SSU, dedicated to the Year of the Teacher and Mentor and organized jointly with the Baranovichi State University (Republic of Belarus) and the Fergana State university (Republic of Uzbekistan).
Theoretical and methodological principles in development of art education

The study appears relevant due to the need of theoretical and applied pedagogy to research the issues of art education concerning its theoretical and methodological aspects. The purpose of the research is to study the theoretical and methodological principles in development of art education. Attention is drawn to the content of the Art Education Framework as a federal-level document that develops the strategy of the cultural policy of the Russian Federation in the designated area and regulates art education in educational organizations of different levels. Research results. It is shown that the creation of art education theories is a rather complex process which makes scholars consider basic scientific theories: the theory of artistic perception and the theory of artistic creativity, which are regarded through their applied aspect. Our interest in visual fine art determines the prerequisite of considering the theories of visual fine arts in various historical periods. These theories serve as a theoretical basis both in the field of art education and in the field of fine arts. The article summarizes the main movements in teaching fine arts at school created by various authors. The article emphasizes that the study of both these movements and the fine arts educational programs that correspond to them facilitate the choice in favor of the program that would fit the curriculum of a particular educational organization. The idea of what results of students’ visual arts development should be is reflected in both the concepts and methods of fine arts education that are presented in the program an educational organization will choose. These results become the methodological basis in development of art education. Main conclusions: the article emphasizes the necessity to carry out theoretical and methodological research in the field of art education as well as to overcome the problems of creating “coherent” theories of art education, theories of visual fine art and methods of teaching it based on the experience accumulated by Russian and foreign theorists and practitioners.
Using Machine Learning to Identify Software Weaknesses from Software Requirement Specifications

Secure software engineering is crucial but can be time-consuming; therefore, methods that could expedite the identification of software weaknesses without reducing the process’ efficacy would benefit the software engineering industry and thus benefit modern life. This research focuses on finding an efficient machine learning algorithm to identify software weaknesses from requirement specifications. The research uses the CWE repository and PROMISE_exp dataset for training. Keywords extracted using latent semantic analysis help map the CWE categories to PROMISE_exp. Naïve Bayes, support vector machine (SVM), decision trees, neural network, and convolutional neural network (CNN) algorithms were tested, with SVM and neural network producing reliable results. The research's unique contribution lies in the mapping technique and algorithm selection. It serves as a valuable reference for the secure software engineering community seeking to expedite the development lifecycle without compromising efficacy. Future work involves testing more algorithms, optimizing existing ones, and improving the training sets’ accuracy.
EFL Pre-service Teachers’ Satisfaction of Online English Learning and Their Academic Achievements

The transformation of face-to-face classrooms into online classes during the Pandemic Covid 19 has impacted ELT activities. One of which is the students' satisfaction with the new format of learning. The aim of this study was to investigate the relationship between English Foreign Learning (EFL) Pre-service Teachers’ satisfaction with online English learning and their academic performance. A quantitative study with a correlational design was adopted to investigate the issue. A convenience sample strategy was used to recruit 132 EFL pre-service teachers from a private university in Yogyakarta. An online survey was administered to garner the data as well as students’ GPAs were used as another criteria. The Kendall's Tau correlation value (-value) of this study was 0.023, with a significance value of 0.704 (0.704&gt;0.05). It suggests that the alternative hypothesis has been ruled out. Consequently, the research revealed that there was a statistically insignificant correlation between the level of satisfaction of EFL Pre-service Teachers' experience with online English learning and their academic performance. Even so, teachers and institutions are expected to still maintain the quality of online learning for their students.