Reviewerly/exHarmony huggingface dataset:
Analysis of customer satisfaction of HIMO Photo Studio based on Ordered Regresssion

With the upgrading of consumption and the improvement of living standards, a group of new type photo studios represented by HIMO Photo Studio have arisen and developed dramatically and become the benchmark of the era in the portrait photography industry. In this paper, we apply LDA topic classification and TF-IDF feature extraction method to conduct text feature extraction and encoding vectorization on the comment data of Beijing HIMO Photo Studio. An ordered regression model with customer satisfaction as the responding variable is established, and the interaction effect is also introduced into model to study the influencing factors of customer satisfaction creatively and quantitatively so that we can give suggestions for improving service quality. The empirical results show that factors such as photo season, shop type, waiting time, photo works, service attitude, photo subject, photo category and so on have a significant impact on customer satisfaction and there are significant differences in customer satisfaction with the same type of photos in different shops. Combining the business goals of HIMO Photo Studio and the industry needs of today's new type photo studios, this paper puts forward targeted suggestions for HIMO Photo Studio to further improve its services according to the conclusions of the model.
The Everyday Experience of Connectivity Limits – Insights from French Students during the Covid Pandemic

From Ubiquitous Computing to the recent deployment of 5G technology, public discourses assume ever increasing levels of connectivity, whether in geographical availability, in reliability, or in speed. However slowdowns, breakdowns, and unavailability are an integral part of the experience of everyday connectivity. We conducted critical incident interviews with 10 students (aged 22-25) to understand how they dealt with the various connectivity limits they faced during the COVID19 pandemic, but also how they deliberately set limits at times. Our results show the complex relations that people develop with their internet connection. We outline the informants’ difficulties to identify and understand the nature of the connection’s problems they usually face, leading to a lack of control. We present how they react to such problems, the anticipation strategies and coping mechanisms they develop. We finally present situations in which informants deliberately set their own limits. Overall, we emphasize the shift from a shared and localized connection (WiFi) to a personal and mobile one (4G), combined to increased pressure for maintaining connectivity.
Multi-task RetinaNet for Mitosis Detection

The count of mitotic cells is a key feature in tumor diagnosis. However, due to the variability of mitotic cell morphology, detecting mitotic cells in tumor tissues is a highly challenging task. At the same time, the performance of the trained models often declines when there is a vast difference between the source domain and the target domain. (i.e., the different tumor types and scanners). Therefore, it is necessary to develop algorithms for detecting mitotic cells with robustness in domain shift scenarios. Our work proposes a foreground detection and tumor classification task based on the baseline (Retinanet) and utilizes data augmentation to improve our model’s detection ability and domain generalization performance. We achieve excellent performance on the challenging preliminary test dataset (F1 score: 0.5809) and the Final test dataset (F1:0.6300).
Ukrainian scientific language: the curriculum of the discipline for higher education applicants of the degree of Doctor of Philosophy in the specialty "011 Educational, pedagogical sciences"

The education program is aimed at enriching the personal and communicative experience of post-graduate students on PhD doctoral research degree program, their research interests and individual needs and requirements; it is flexible in its content; meets the principles of adult competence training. The program is based on the principles of the policy of openness and transparency, frequency of revision of educational programs in order to improve them, maintaining academic integrity and mobility. The content of the program provides a sufficient level of development of speech culture, improvement of skills of working with various genres of scientific-style texts, and formalizing the results of research work. Demonstration of the importance of language knowledge for a scientist, comprehension of the requirements for a scientific text, norms of scientific style, mastering the means of ensuring the effectiveness of a scientific text, its impact on the reader or listener provides for acquisition of the discipline. In order to improve the culture of speech, the curriculum for post-graduate students on PhD doctoral research degree program at the third (educational and scientific) level of higher education in 01 field, notably Training in the specialty 011 "Educational, pedagogical sciences", includes acquisition of the course "Ukrainian scientific language".
Ukrainian scientific language” the curriculum of the discipline for higher education applicants of the degree of Doctor of Philosophy in the specialty " 014 Secondary education "

The education program is aimed at enriching the personal and communicative experience of post-graduate students on PhD doctoral research degree program, their research interests and individual needs and requirements; it is flexible in its content; meets the principles of adult competence training. The program is based on the principles of the policy of openness and transparency, frequency of revision of educational programs in order to improve them, maintaining academic integrity and mobility. The content of the program provides a sufficient level of development of speech culture, improvement of skills of working with various genres of scientific-style texts, and formalizing the results of research work. Demonstration of the importance of language knowledge for a scientist, comprehension of the requirements for a scientific text, norms of scientific style, mastering the means of ensuring the effectiveness of a scientific text, its impact on the reader or listener provides for acquisition of the discipline. In order to improve the culture of speech, the curriculum for post-graduate students on PhD doctoral research degree program at the third (educational and scientific) level of higher education in 01 field, notably Training in the specialty 014 "Secondary Education", includes acquisition of the course "Ukrainian scientific language".
Security Attacks and Key Challenges in Blockchain Technology: A Survey

A blockchain is decentralized, distributed and public ledger, which is used to record the transaction across the number of clusters of computers. The record cannot be altered without an alternation in subsequent blocks. In the world of IT, the term Blockchain is not obscure. Despite tremendous applications in the field of information technology, finance and other industries, there are some challenges with Blockchain technology that need to be taken into consideration. In this paper, we have discussed the key challenges and issues with Blockchain technology.
Some aspects of teaching parallel computing in a database in higher education institutions

The article deals with the main issues of teaching the implementation of parallel computing in a database in the educational process. The active development of parallel computing necessitates the purposeful formation of appropriate skills among students. The stage of development and introduction into the educational process of the methodology of teaching the implementation of parallel computing in a database, which will allow students to acquire the skills and abilities of parallel processing of a large amount of database data in a short period of time, is described. The contradictions that determine the relevance of the study are considered. The data of the conducted ascertaining experiment, which made it possible to determine and clarify the criteria for the readiness of students to work with parallel calculations in the database, are described. The data of this experiment are the initial data for a formative experiment, the purpose of which is to develop and verify the effectiveness of theproposed model for the formation of training. All types of experiments in the form of conducting were natural. The results of the experiment, in which students of the Karaganda University of the name of academician E.A. Buketov were involved, are presented. Based on the data obtained as a result of the experiment, the author concluded that the existing level of work with parallel computing in databases has a number of disadvantages.
Design of Efficient Model to Predict Duplications in Questionnaire Forum using Machine Learning

Abstract: Detection of duplicate sentences from a corpus containing a pair of sentences deals with identifying whether two sentences in the pair convey the same meaning or not. This detection of duplicates helps in deduplication, a process in which duplicates are removed. Traditional natural language processing techniques are less accurate in identifying similarity between sentences, such similar sentences can also be referred as paraphrases. Using Quora and Twitter paraphrase corpus, we explored various approaches including several machine learning algorithms to obtain a liable approach that can identify the duplicate sentences given a pair of sentences. This paper discusses the performance of six supervised machine learning algorithms in two different paraphrase corpus, and it focuses on analyzing how accurately the algorithms classify sentences present in the corpus as duplicates and non-duplicates
Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level

Abstract Text classification is a widely used task in natural language processing. However, the presence of stereotype bias in text classification can lead to unfair and inaccurate predictions. Stereotype bias is particularly prevalent in words that are unevenly distributed across classes and are associated with specific categories. This bias can be further strengthened in pre-trained models on large natural language datasets. Prior works to remove stereotype bias have mainly focused on specific demographic groups or relied on specific thesauri without measuring the influence of stereotype words on predictions. In this work, we present a causal analysis of how stereotype bias occurs and affects text classification, and propose a framework to mitigate stereotype bias. Our framework detects potential stereotype bias words using SHAP values and alleviates bias in the prediction stage through a counterfactual approach. Unlike existing debiasing methods, our framework does not rely on existing stereotype word sets and can dynamically evaluate the influence of words on stereotype bias. Extensive experiments and ablation studies show that our approach effectively improves classification performance while mitigating stereotype bias.
ORGANIZATIONAL AND METHODOLOGICAL FEATURES OF THE IMPLEMENTATION OF DISTANCE LEARNING IN PHYSICS IN HIGHER EDUCATION INSTITUTIONS

The article actualizes the problem of organizational and methodological support for distance learning in Physics. Organizational, regulatory, technological, software and methodological features of its implementation in Higher Education Institutions are determined. The article summarizes the experience and analyses the features of organizing distance learning in Higher Education as an effective tool for supporting the Educational Process in Physics and ensuring free access of applicants to high-quality educational services in conditions of unpredictable impacts. Attention is focused on the need to improve the techniques and methods of organizing independent work of students in the process of distance learning Physics, the formation of practical skills and abilities in them, the development of digital literacy as an important component of self-educational and professional competence, stimulating the cognitive activity of applicants, monitoring and evaluating academic achievements during online training. It is noted about the trends in the development of educational and methodological support for the educational process in Physics in the conditions of distance learning in fully functional didactic kits and complexes that combine traditional teaching tools, electronic educational resources, and digital laboratories. It is noted about the expediency of purposeful improvement of information and communication competence of teachers, the formation of their readiness for a qualitative transformation of the methodology, methods and forms of organizing the educational process in new conditions, improving the systematic training of scientific and pedagogical workers for the introduction of distance education, expanding the practice of international internships in order to obtain skills in the effective use of modern means of supporting distance learning.
Can Multinomial Logistic Regression Predicts Research Group using Text Input?

While submitting proposals in SISINTA, students often confuse or falsely submit their proposals to the less relevant or incorrect research group. There are 13 research groups for the students to choose from. We proposed a text classification method to help students find the best research group based on the title and/or abstract. The stages in this study include data collection, preprocessing data, classification using Logistic Regression, and evaluation of the results. Three scenarios in research group classification are based on 1) title only, 2) abstract only, and 3) title and abstract. Based on the experiments, research group classification using title-only input is the best overall. This scenario gets the most optimal results with accuracy, precision, recall, and f1-score successively at 63.68%, 64.91%, 63.68%, and 63.46%. This result is sufficient to help students find the best research group based on the text titles. In addition, lecturers can comment more elaborately since the proposals are relevant to the research group’s scope.
SOLVING SCHOOL PROBLEMS OF INTEGRATIVE CONTENT: MATHEMATICS AND ECONOMICS

The article is dedicated to the disclosure of the peculiarities of the formation of the skills of high school students to solve and investigate problems of integrative content offered in mathematics and economics courses. The purpose of the article is to highlight the methodology of implementing an integrative approach through the formation of high school students' skills to solve and investigate problems of integrative content with mathematical and economic components. Theoretical methods were used during the research: an analysis of psychological and pedagogical literature on the research problem; empirical methods: pedagogical observation of the educational and cognitive activity of students, conversations with teachers of mathematics and economics. The article analyzes the possibilities of implementing integrative connections between mathematics and economics using problems of integrative content. The authors focused their attention on the functional dependencies and their operations. The leading mathematical model of the article was the elasticity of the function, that is often used as a mathematical model in economic problems. The conducted research made it possible to reveal the content of methodological conditions under which the use of the described integrative approach in the process of real learning will acquire methodological expediency in the context of the formation of students' knowledge and skills of integrative activity. Firstly, it is advisable to implement an integrative approach in the teaching of mathematics and economics using creative components of activities for modeling and researching the models in the problems of integrative content. Secondly, the selection of the scope of implementation of the integrative approach is carried out taking into account the general goal of organizing the educational activities of students (or subjects of education); in other words, the problem of choosing the type or extent is a kind of heuristic, and therefore it is the problem of the set goal and depends only on the teacher's planning of the possible (or necessary) breadth of the field of possibilities for the educational activities of the school students (or university students). Thirdly, when implementing the integrative approach, the teacher (pedagogue) of mathematics (economics) organizes the process of mental unification of the components of mathematical and economic competences according to their essential features; and therefore, when carrying out the described educational work, the method of generalizing students' knowledge and skills is productive for use. At the same time, the components of the integrated material are divided into interconnected classes according to the most significant features of their similarity. At the final stage – the process of direct formation of integrative connections – there is a systematization, or the unification of the classes of the components of the integrated material into a single entity with the further synthesis of new knowledge.
Software Engineering: Agile Software Development

Research examines the advantages and difficulties of using agile software development approaches. An overview of the literature on agile software development is presented first, followed by an introduction to agile approaches and their characteristics. The case study strategy used in this study's research methodology combines qualitative and quantitative data collection methods. In order to assess the project's success factors, team productivity, and customer satisfaction, the case study focused on a software development project that used agile methodology. The results of this study show that agile techniques have many advantages for software development projects, including improved client satisfaction, better cooperation, and flexibility. The use of agile approaches, however, is not without its difficulties. Agile software development has grown in popularity in recent years, especially in the software industry, where it is considered to boost productivity, decrease risk, and improve customer satisfaction. Other disciplines, including as project management, product development, and marketing, have also adopted the agile methodology. While agile software development has numerous advantages, it also has some drawbacks, such as managing stakeholder expectations, guaranteeing team participation, and preserving quality.
SEPARATE COMPONENTS OF THE TECHNOLOGY OF USING THE WEB OF SCIENCE SCIENTOMETRIC DATABASE FOR EVALUATING THE EFFECTIVENESS OF PEDAGOGICAL RESEARCH

The paper describes the individual components of the technology of using the scientometric database Web of Science to evaluate the effectiveness of pedagogical research. In particular, the forms of work are considered both for an individual scientist – the main scientometric indicators (h-index, total number of publications, total number of citations), analysis of the dynamics of publications and citations by years (with the possibility of choosing a specific period), analysis of the geography of citation (in general and focusing on a particular country), data on editorial and review activities, position in the author's team of own publications, etc, as well as for a particular educational institution/research institution (h-index, the total number of publications, the total number of citations, number of authors of the educational institution research institution that have publications in this one, dynamics of citations by years, statistics by authors on the number of publications in the scientometric database, etc.) The purpose of the developed technology is to increase the level of digital competence of scientific and scientific-pedagogical workers using the Web of Science scientometric database. The use of such forms will contribute not only to the general awareness of scientific and scientific-pedagogical workers of educational institutions/scientific institutions about this scientometric database, but also to increase their level of digital competence as a result of using the scientometric database Web of Science. The results of the study will be useful for the management of educational/scientific institutions, as they demonstrate the possibilities of automation of both obtaining certain data and their processing and visualization. As prospects for further research, the effectiveness of the developed technology of using the Web of Science scientometric database for evaluating the effectiveness of pedagogical research is considered.
Performance of Ensemble Classification for Agricultural and Biological Science Journals with Scopus Index

The ensemble method is considered an advanced method in both prediction and classification. The application of this method is estimated to have a more optimal output than the previous classification method. This article aims to determine the ensemble's performance to classify journal quartiles. The subject of agriculture was chosen because Indonesia is an agricultural country, and the interest of researchers in this field shows a positive response. The data is downloaded through the Scimago Journal and Country Rank with the accumulation in 2020. Labels have four classes: Q1, Q2, Q3, and Q4. The ensemble applied is Boosting and Bagging with Decision Tree (DT) and Gaussian Naïve Bayes (GNB) algorithms compiled from 2144 instances. The Boosting meta-ensembles used are Adaboost and XGBoost. From this study, the Bagging Decision Tree has the highest accuracy score at 71.36, followed by XGBoost Decision Tree with 69.51. The third is XGBoost Gaussian Naïve Bayes with 68.82, Adaboost Decision Tree with 60.42, Adaboost Gaussian Naïve Bayes with 58.2, and Bagging Gaussian Naïve Bayes with 56.12 results. This paper shows that the Bagging Decision Tree is the ensemble method that works optimally in this subject classification. This result suggests that the ensemble method can still fail to produce an ideal outcome that approaches the SJR system.
Review Paper on Professional Issues in Human Computer Interaction

Human-Computer Interaction (HCI) plays a crucial role in shaping our digital experiences, with professionals at the forefront of designing and developing interactive systems. This review paper examines the professional issues within HCI, aiming to identify key challenges, trends, and advancements in the field. Through an extensive analysis of existing literature, this paper explores various dimensions of professional issues in HCI, including ethical considerations, user-centered design practices, socio-cultural implications, legal aspects, and the impact of emerging technologies on HCI professionals. By synthesizing research findings and critical insights, this review highlights the importance of addressing these issues for the advancement of HCI. Furthermore, it presents a comprehensive overview of the current state of research, identifies gaps and limitations, and proposes future directions for research and practice in order to foster a more ethical, inclusive, and effective human-computer interaction domain. This review contributes to the understanding of professional challenges faced by HCI practitioners and provides a foundation for informed discussions and developments in this dynamic field.