Reviewerly/exHarmony huggingface dataset:
Teaching the Python programming language in higher education institutions

In the modern digital society, the range of professions whose activities are related to the tasks of processing a large amount of data is expanding. For a quick, efficient, and high-quality solution of such tasks, appropriate software tools developed by professional programmers are required. The Python programming language allows fast, simple and economic development of new software tools within the framework of professional duties by employees who do not have deep knowledge in the field of programming but are well aware of the subject specifics of tasks. For this reason, the introduction of Python into the educational process in universities taking into account the peculiarities of educational directions can be a good tool for increasing the level of readiness of graduates for professional activity. This article discusses the problem of integrating the Python programming language into the informatics course at universities. It is proposed to determine the content of educational materials depending on the specifics of the field of study. It is recommended to organize the process of learning the Python programming language based on the classification of modules. The research uses methods of analysis and synthesis of existing sources on the Python language, training programs in various educational directions, standard programs for teaching informatics and information technology. An approximate list of topics and educational literature on the Python language is proposed, taking into account the specifics of educational directions of bachelor’s degree programs. University graduates with Python language skills within the limits recommended in this article, in addition to professional skills, will also have programming competencies and will be able to implement programming skills within their professional duties.
Software and Systems Engineers in ICS Security

The introduction of Industry 4.0 and IIoT has enabled the interconnection of information technology (IT) and operational technology (OT) and exposed industrial control systems to cyber threats. Industrial cybersecurity requires knowledge, skill, and collaboration between IT and OT. A comparison of graduate curricula of software engineering and systems engineering identifies competencies related to industrial control systems cybersecurity. Industry experts are interviewed to identify needs for cybersecurity skills and competencies. Results from the mapping are discussed in the context of software and systems engineering challenges in ICS cybersecurity and leveraged against industry experiences and needs expressed through interviews with three OT and IT industry professionals. The curricula mapping reveals variations in both how they are organised and expressed to the extent that subjective interpretation is required for evaluation and comparison. The interviews with the industry experts indicate a gap between graduate competence from the curricula and industry needs.
Student visual learning style activities in javanese script writing learning

The learning activities undertaken by students are essential to be known as the basis for teachers to determine suitable teaching methods and media according to the characteristics of the students. The implication of this research is that teachers can create effective learning experiences by aligning teaching methods and media with the visual learning preferences of students. The research subjects were eighth-grade students at SMP Darussalam Bergas who have a visual learning style. The data for the research included all activities of students with a visual learning style. Data analysis was conducted using Miles and Huberman's data analysis model, which includes data reduction, data presentation, and drawing conclusions. The data analysis results revealed that the characteristics of visual learning style predominantly dominated the students' learning preferences. The activities of visual learners include the following: they find it easier to comprehend what they see rather than what they hear, pay attention to PowerPoint presentations, are more organized and neat, prefer reading to being read to, are meticulous and detail-oriented, have good spelling skills, tend to doodle without specific meaning, are not easily distracted by noise but may be disrupted if the visual display is unclear, visual learners tend to copy everything written by the teacher on the chalkboard, and they prefer to sit near the front of the classroom to have a clear view. Keywords : learning activities, Javanese script, visual learning style
A new binary object-oriented programming optimization algorithm for solving high-dimensional feature selection problem

Feature selection (FS) is a crucial task in machine learning applications, which aims to select the most appropriate feature subset while maintaining high classification accuracy with the minimum number of selected features. Despite the widespread usage of metaheuristics as wrapper-based FS techniques, they show reduced effectiveness and increased computational cost when applied to high-dimensional datasets. This paper presents a novel Binary Object-Oriented Programming Optimization Algorithm (BOOPOA) for FS of high dimensional datasets, where the Object-Oriented Programming Optimization Algorithm (OOPOA) is a novel optimization technique inspired by the inheritance concept of Object-Oriented programming (OOP) languages. The effectiveness of this method in solving high dimensional FS problems is validated by using 26 datasets, most of which are of high dimension (large number of features). Seven existing FS algorithms are compared with the proposed OOPOA using various metrics, including best fitness, average fitness (AVG), selection size, and computational time. The results prove the superiority of the proposed algorithm over the other FS algorithms, having an average performance of %92.5, 0.078, 0.084, %38.9, and 8.6 min for classification accuracy, best fitness, average fitness, size reduction ratio, and computational time. The outcomes demonstrate the proposed FS approach's superiority over currently used methods.
The affordances of Reddit and framing of extremism on r/the_donald

This paper reports on a study of r/the_donald, and how comment threads in this community were framed and rekeyed toward extremism. r/the_donald was a community on the social media website Reddit organized around fervent support for Donald Trump. In this paper, theories surrounding the features of Reddit such as its cultures, systems and potential for manipulation are connected to Goffman’s frame analysis to examine comments on r/the_donald from a discourse perspective. By analyzing a chain of twelve comments on r/the_donald through this lens, the effect that Reddit’s affordances had on communication was explored. A series of example comments that successively repositioned, or ‘rekeyed’, an original post, showed how the affordances of Reddit might facilitate the emergence of extreme right-wing talking points. It was found that the nature of Reddit’s scoring system, in which highly supported comments are highlighted and contentious comments are hidden from view, could create a situation in which rekeyings of a situation could be made to appear highly credible. It is hypothesized that attempting to argue with these rekeyings, or even to call them out as being in bad faith, may be difficult. The study concludes that the effect of Reddit’s affordances on the process of framing on r/the_donald allowed posts that may be in bad faith to receive positive attention so long as they supported Donald Trump.
Extending Preselected Items Evaluation (PIE) with the ATA (American Translators Association) error categories for objective and targeted translation evaluation

This paper proposes to extend Preselected Items Evaluation (PIE), an item-based analytical method that seeks to provide greater objectivity in translation evaluation, with the error categories of the American Translators Association’s (ATA) Framework for Standardized Error Marking. The aim is to address a shortcoming of PIE, specifically its restriction to the identification of error numbers, disregarding error types. We describe the application of PIE and the ATA Framework for Standardized Error Marking and explain the advantages of combining PIE with the ATA error categories. We also outline the findings of a pilot study using this method and suggest proposals for further research.
Maximal-Semantics-Augmented BertGCN for Text Classification

Text classification is an important research work in the field of natural language processing (NLP), and many methods of machine learning and deep learning are widely used in this work. In this paper, we propose a method namely Maximal-Semantics-Augmented BertGCN (MSABertGCN) based on BertGCN that further improves the results of text categorization tasks. In this work, the extended semantic information of text is utilized more effectively by means of text semantic enhancement and graph nodes enhancement while preserving the original text features. Four datasets commonly used in the fields of text classification, namely R8, R52, Ohsumed and MR, were used to verify the validity of the method we proposed. Experimental results show that compared with BertGCN and other baselines, the proposed method MSABertGCN has varying degrees of improvement in the accuracy with respect to the R8, R52, Ohsumed and MR datasets.
Comparison of Classification Models for Breast Cancer Disease Using Multivariate Analysis and Data Mining Approaches

Compared to other cancer types, breast cancer is one of the main causes of death in women. Early cancer detection can significantly increase survival and quality of life. A variety of machine learning prediction algorithms with combination of feature selection approaches have shown to be useful in the detection of breast cancer disease. However, it was discovered that there are still problems with classification accuracy. An outlier-related factor was known to have potential effect on classification accuracy. In order to further improve the classification’s accuracy, the Kmeans approach was used to detect outliers. The major goal of this study was to examine the classification performance of breast cancer disease when feature selection methods were used in combination with K-Means. For experimental purpose, the Coimbra dataset for breast cancer consisting of 116 instances and 10 attributes was used in this study. Multivariate techniques including Principal Component Analysis (PCA), Kernel Principal Component Analysis (KPCA), and Discriminant Analysis (DA) were applied to reduce data dimensions. Meanwhile, four data mining approaches consisting of Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), and Logistic Regression (LR) were compared for classification purpose. The performance measurement was then evaluated using accuracy, precision, specificity, and sensitivity criteria. The results revealed that five combinations approaches (PCA-DT, PCA-RF, KPCA-DT, KPCA-RF, DA-RF) performed better across all four criteria after combining with KMeans technique. Among five combined methods, KPCA with DT outperformed other combination methods with the highest value across precision (76.47 percent) and specificity (71.43 percent). This study suggests the incorporation of feature selection method together with outlier detection method has proved to be more efficient and beneficial for breast cancer classification.
Analisis Kebutuhan Pengembangan Media Berbasis Montessory pada Siswa Sekolah Dasar

This study aims to analyze and identify Elementary School Student’s need of using media in learning. The method in this study is a descriptive method with a qualitative approach and a quantitative approach. The samples of this study are teachers and students from three schools, there are: SDN Jatisari, SDN Wonolopo 1 and SDN Wonolopo 3. The results of this study are: (1) The media used in learning are audio, visual and audio visual media. (2) Using medias have not yet effect on improving student’s learning outcomes. (3) Teachers have not used multimedia in one lesson. (4) Students rarely conduct experiments. Montessory- based in media are needed to maximize the learning process and sharpen students’ 4C skills.
ASSESSMENT BY THE PEDAGOGICAL COMMUNITY OF INCLUSIVE COMPETENCIES OF SPECIAL TEACHERS

The article is devoted to the issues of the readiness of special teachers to work in the conditions of inclusive education. The current state and problems of the formation of inclusively oriented professional competencies of special teachers are analyzed. The importance of inclusive competencies for special teachers for successful work in the general education process is proved, the necessity of systematic and comprehensive pedagogical activities for the formation of these competencies is substantiated. The article presents brief results of a specially organized interviewing of the administration and teachers of secondary schools of Pavlodar and Pavlodar region, the purpose of which was to identify their opinions on the level of readiness and formation of inclusively oriented professional competencies of special teachers. It was determined that teachers and the administration of general education organizations attributed to the professional qualities of a special teacher who effectively implements his activities in an inclusive education: competence, pedagogical ethics, practical skills, understanding and acceptance of a child with disabilities, flexibility and adaptability, the ability to adapt in accordance with the characteristics of the child or the educational situation, sociability and willingness to cooperate, emotional stability and stress resistance, skills of working in an interdisciplinary team, responsibility, diligence, availability of certain organizational skills, etc. The article was prepared within the framework of the program-targeted financing of the Ministry of Science and Higher Education of the Republic of Kazakhstan BR18574162 "Inclusively oriented training of special teachers".
Digital and Media Education of Adult Educators

This paper exposes the initial part of a research consisting in a need analysis carried out by the Romanian partner in the Erasmus+ &quot;Media Education for Aware Adults&quot; project, regarding digital competences and media education of adult educators or trainers. After a short introduction on the subject, in the paper are presented the main findings of the desk research, and two focus group sessions, first one for identifying the necessary digital competences of adult educators, and second one for identifying the elements that educators need in order to adequately support adults in their learning process, especially in relation to the digital environment. The results of the initial research will lead to the development of the main intellectual outputs, namely the digital competences framework, handbook, online platform and training material on digital and media education. In their development will be taken into account, on the one hand, the needs identified in the initial research, and, on the other hand, the need for a sustainable approach to all activities, resources and outputs produced, as well as education itself, this goal being assumed through the project.
The Construction of a Large-Scale Hong Kong Chinese Lexicon with Multilingual Translations for Chinese-as-an-Additional-Language (CAL) Students

This paper describes the structure and compilation process of a Hong Kong Chinese Lexicon being developed for a forthcoming Cantonese keyboard. The lexicon contains more than 120,000 headwords, including common words and high-frequency named entities, and incorporates information such as Jyutping romanization, indicative word frequency, simple translations in five languages (English, Hindi, Indonesian, Nepali, Urdu), disambiguation, POS information, speech register and cross-register synonyms. The lexicon improves the Chinese learning experience of CAL students in two ways: (a) introducing and promoting the effective usage of input methods and dictionaries for learners that facilitate them to locate the correct choice of word or phrase within a particular context, and (b) providing additional register-specific data that enable advanced learners to further expand their vocabulary. This lexicon can be used in conjunction with WordNet or LIWC (Linguistic Inquiry and Word Count) for a range of natural language processing tasks.
Environmental aspects of using some means human personal hygiene

Every individual widely uses modern means of personal hygiene, in particular toilet soap. Most of us have encountered the information that this hygiene product can contain components that have a harmful effect on the body. Therefore, it should be taken into consideration that soap contains substances dangerous for our health. When choosing hygiene products, people quite often focus on the price, which can be a mistake. On the other hand, modern day consumers do not want to waste their money and want to buy a product with the best consumer properties. The result of our work is a recommended list specific names of toilet soap, which takes into account all the mentioned aspects. Consumers who care about their health might be interested in this list. The purpose of this research work is the selection of the safest groups of toilet soaps from the point of view of their content composition of substances dangerous for the human body. The object of the work is toilet soap (20 items). The subject of the study is the description of the safest groups of toilet soap for the consumer, considering its price and subjective evaluation of consumers. The list of ingredients on the product packaging of each toilet soap indicated by the manufacturer served as a source for the conducting this research work. Comparativelydescriptive, graphic, and statistical (K-means method of cluster analysis) methods of processing and providing information were used to perform this research paper. The results of the work have immediate practical value, as they represent a recommendation for consumers, which consists in the necessity to choose toilet soap among the offered list of the safest samples with the lowest price tag and the best consumer properties.
SPECIFIC ASPECTS OF RECONSTRUCTING THE PSYCHOLOGICAL PORTRAIT IN THE MEGATEXT OF O. ZHOVNА

The article emphasizes that the issue of reconstructing the psychological portrait of an artist exists at the intersection of literature and psychology. Revealing the inner motives, emotional states, and cognitive processes that shape literary creativity expands our understanding of the nature of creativity and its impact on readers. The study highlights that the investigation of the problem of reconstructing the psychological portrait of a writer, which encompasses complex philosophical, ethical, and aesthetic questions, contributes to a deep understanding of the artist’s creative position. In the late 20th and early 21st centuries, a new vision called psychopoetics emerged in literary studies and psychology. It combines the study of psychology in literature and psychologism as a phenomenon inherent to literature, exploring their interdisciplinary relationships and their influence on the writer’s personality. These approaches enable a deeper understanding of the creative process and the reconstruction of the psychological portrait of the writer through an analysis of their texts. The research pays particular attention to the study of specific aspects of O. Zhovna’s psychological portrait and the ways it is reflected in various types of a megatext, such as biography, memoirs, diaries, letters and literary works. This comprehensive analysis helps reveal the multifaceted nature of the writer and the influence of their psychosocial background on their literary creativity. It was established that a crucial component of O. Zhovna’s psychopoetic portrait is a complex self-identification and the contradictions in their intentions, some of which the writer embodies in their literary works. О. Zhovna’s characters address the issue of double life using various strategies: adapting their identity to societal standards, choosing a double life by concealing their true desires and identity at the cost of losing the chance for happiness, or opting for an alternative path that contradicts societal norms and values, prioritizing the realization of their unique desires and ideas even if it conflicts with societal standards. These methods of resolving internal conflicts in O. Zhovna’s works reveal different aspects of the quest for identity, both for the characters and the author.
The Impact of Leadership Style on Employee Wellbeing in Dubai Government Organizations

Leadership is identified as a critical element for the success of an organization. The present study examines the impact of leadership style on employee wellbeing in Dubai government organizations. The review shows that leaders use different leadership styles in order to achieve organizational goals. This research aims to shed light on how leadership style can impact on employee wellbeing. This empirical study used a qualitative approach to collect data from the participants by using semi-structured interviews with ten senior leaders from Dubai government organizations. Drawing from major themes identified in literature, questions were designed to identify impact of leadership style on employee wellbeing in Dubai government organizations. Nvivo software was also used to analyze the data. The results of this study indicate there is a significant relationship between leadership style and the wellbeing of employees. In addition, the results show that transformational leadership is one of the most effective styles, enhancing the quality of employee wellbeing in Dubai government organizations. The results provide support for the positive impact of this leadership style which implies that Dubai government organizations should train their managers to use transformational leadership style in order to enhance employee wellbeing. The results of the research reveal that there is a future plan to focus on developing transformational leadership style in order to improve the wellbeing of employees. In the end, the study concludes with several recommendations, including the need to conduct more studies and research with other countries similar to the United Arab Emirates and government sector institutions in other countries, with the aim of generalizing the achieved results.