Reviewerly/exHarmony huggingface dataset:
The Use of Pronoun-Antecedent Agreement in Social Media Communication Among Nigerian Speakers of English

Investigation has shown that a good number of Nigerian users of social media communicate without paying attention to the appropriate usages, and this is the concern of this paper. The study aims to examine specifically those instances where such speakers of English break the rules of pronoun-antecedent agreement in English, irrespective of whether they lack the linguistic knowledge or do that out of negligence. The research is based on the theory of Competence and Performance as introduced by the American linguist, Noam Chomsky. The data was gathered within the Federal Capital Territory (FCT). The survey research design has been chosen as part of data collection procedure. Six groups or sets of Facebook postings are considered based on the six local councils that constitute the FCT administration. These are: Abaji, Abuja, Bwari, Gwagwalada, Kuje, and Kwali area councils. In each of them, five (5) posts have been selected to bring out a total number of thirty (30). The posts were collected using an Android phone. In taking note of the various posts from the concerned individuals, a pen and an exercise book were readily available for the making of notes on the concord errors for subsequent analysis. And each set of the 5 is presented in a separate table. The findings as analysed show the extent to which pronoun-antecedent errors are made by second language speakers of the English language.
Linked Data Semantic Distance with Global Normalization for evaluating Semantic Similarity in a Taxonomy

In this work the problem of evaluating semantic similarity in a taxonomy by relying on the notion of information content is investigated. In particular, a measure that takes into account not only the generic sense of a concept but also its intended sense in a given context is considered. Such a measure needs a semantic relatedness approach in order to evaluate the relatedness between the generic sense and the intended sense of a concept. In this work we show that relying on the Linked Data Semantic Distance with Global Normalization leads to higher Spearman's correlation values with human judgment with respect to the original proposal of the authors. DOI: 10.61416/ceai.v25i2.8353
Methods of psychotherapeutic correction of the emotional state of drug addicts in the process of treatment and rehabilitation measures

The research is devoted to the study of the emotional sphere of psychoactive substance users at the stage of rehabilitation. The aim of the study is to compare the content and dynamic characteristics of the emotional state of patients with chemical dependence who receive and do not receive psychotherapeutic help. Subject of research: the possibility of correcting the emotional state of drug addicts through the use of art therapy methods. Experimental research base: rehabilitation center (Krasnoyarsk). Experimental sample of the study: 24 drug-addicted men aged 25 to 40 years. Research methods: the study of the locus of control of J. The study of the level of anxiety (the scale of C.D. Spielberger, Y.L. Khanin); the Rosenzweig test "The technique of pictorial frustration"). Data processing was carried out using the program "SPSS Statistics 21". The reliability of the differences between the indicators in the experimental group and the comparison group was calculated using the U-Mann-Whitney criterion for independent samples. The results of the study showed that a psychocorrection program with elements of art therapy can relieve emotional tension, reduce anxiety and frustration. In addition, the shift of the locus of control towards the internal type contributes to an increase in the level of responsibility for one's own actions and a decrease in the level of aggressiveness. And increasing the level of social adaptation improves interaction within the group, which leads to a decrease in the number of external and internal conflicts. Additionally, patients' motivation for recovery increases due to the support of the group, which is very important for the effective and successful completion of the rehabilitation program. The obtained data and the proposed psychocorrection program can be used by medical psychologists in working with drug-dependent patients to correct their emotional state during treatment and rehabilitation measures.
Testing data analysis system for the technology of harmful substances forecasting

The issue of product safety is acute in many countries and companies. Indeed, every year a large number of people catch various diseases after using products contaminated with harmful sub-stances. To increase food safety, there should be implemented some technologies which would enable quick testing of products and, using the obtained knowledge, to prevent appearance of harmful substances. Biosensor technologies which are utilized for conducting quick tests for agricultural purposes are being nowadays actively developed in the world. The use of data min-ing technologies can provide the identification of new knowledge about the nature and depend-ence of various harmful substances on external factors. The article considers the issues of con-struction and testing of forecasting technology, including analysis of existing solutions, search for forecasting models, usage of Data Mining methods to find qualitatively new knowledge and hypotheses, and hypothesis testing as well. The first section of the article provides an overview of existing models and methods, formulas for calculating the risk of aflatoxin. The second sec-tion contains a brief description of the data collection system which consists of a data ware-house, sensors and a mobile application as a data source. The results of data mining obtained after the use of Data Mining methods are presented in the third section of the paper. As a result, there was obtained a hypothesis of the effect on the appearance of mycotoxins in crops. Confir-mation or refutation of the hypothesis was performed by testing it using OLAP-technologies. The results of the hypothesis test are presented in the last section. The main result of the work was obtaining a data analysis system ready for testing in real conditions. However, it should be noted that there is a need for more extensive testing on large amounts of data which can be ac-cumulated over several years of observations.
Diagnosing Learning Disorders in Children: A Comparison of Certainty Factor and Dempster-Shafer Methods

Even though educational technology is very advanced, some children experience learning disorders. Learning disorders in children include Dyslexia, Dysgraphia, Dyscalculia, and Dyspraxia. Ignorance about learning disorders in children will result in the child not getting help to reach his potential and have an impact on problematic behavior and destructive mental disorders in children. That is why it is necessary to make an early diagnosis to determine the presence of learning disorders in children. Therefore, for this reason, this study aims to develop an expert system for the early diagnosis of learning disorders in children using the Certainty Factor and Dempster-Shafer methods. The results show that the Certainty Factor method is more accurate than the Dempster-Shafer method in diagnosing children with disorders. The accuracy of the test results by diagnosing children’s learning disorders using the Certainty Factor method is 90%, and by the Dempster-Shafer method, it is 87%. The novelty of this research is to build a system for diagnosing the types of learning disorders in children using the Certainty Factor and Dempster-Shafer methods which have never been done by previous researchers.
An M-MIAP Learning Model to Develop Engineering Competency of Pre-Engineering Students via Metaverse

This research aimed to develop an M-MIAP learning model via Metaverse to develop the engineering competencies of pre-engineering students, and to evaluate the appropriateness of the model. This research is divided into two phases. In the first phase, literature studies of various learning models were conducted to construct the matrix of Metaverse elements and engineering competency for the M-MIAP model. The second phase was the evaluation of the appropriateness of the developed M-MIAP model by various expert stakeholders in the fields of information technology, communication technology, Metaverse, and pre-engineering. It was found that the M-MIAP model consists of input, M-MIAP learning process, engineering competency, and feedback. This research uses Metaverse in the learning process to provide students with a new virtual dimension experience. This collaborative learning process also results in a deeper comprehension of the subject matter and increases educational opportunities for students. The assessment result was rated as “very good”, suggesting the suitability of the overall learning model. This indicates that the M-MIAP model can be utilized to cultivate engineering competencies in pre-engineering students, and to prepare for the impending transition to the digital era. It also supports the educational system in achieving the same level of enduring quality.
Adaptive personalized learning: Implementation of emerging technologies in higher education

The fourth industrial revolution determined the increase of active research on redesigning universities’ educational programs to modern technological advancement. Thus, the education system is faced with the challenge of applying an adaptive self-sufficient learning environment that meets labor market’s demands and students’ needs. The importance of adaptive personalized learning in the electronic information and educational environment is to create conditions that provide each student with possibilities to choose and compose learning content, methods and means. Moreover, students can manage their own learning and pace, and obtain interdisciplinary knowledge, professional and soft skills. The aim of this study was to design an adaptive personalized learning model in electronic information and educational environment for Russian higher education institution. This study examined US and Russian higher education institutions’ successful models of individual educational path, adaptive and/or personalized learning. The comparative and content analyses revealed various possibilities for using this model in an electronic information and educational environment. For instance, the model would be able to propose students individual learning path, analyze their level of educational materials’ assimilation and adapt learning programs to improve their performance.
Conceptional review of the Content-based Image retrieval

This article examines the process of the Content-based Image Retrieval (CBIR ) system , the features and steps involved, the methods employed, and the applications. CBIR aims to identify, sort, and manage images on the basis of the requirements posed to the system. The system cross checks the requirements using Machine learning processes against a given database and reduces the manual effort of sifting through all pictures individually. Incorporating references to the different methods of feature extraction, this article emphasizes understanding which features are considered important and the characteristics of features that are searched for. It argues the advantages of multiple methods while suggesting how each method is suitable when employed for a specific purpose. The process of indexing is also highlighted in this article. These processes are particularly useful in this advancing world where huge databases of images need to be handled on a daily basis in various applications and where manual methods are simply not feasible.
Development of Mobile-Based Digital Learning Materials in Blended Learning Oriented to Students' Mathematical Literacy

This study aims to analyze the development and effectiveness of mobile-based sequences and a series of digital learning materials through a blended learning model for students’ mathematical literacy. This research is Analyze, Design, Develop, Implement, and Evaluate (ADDIE) model development research with the mixed method, the convergent parallel design. The population was from class X State Vocational School (SMK) in Majalengka, Indonesia, with a sample of 36 students of class X SMK. The instruments used were validation sheets, questionnaires, and tests of mathematical literacy skills. The results of this study indicate that: 1) mobile-based digital learning materials through blended learning models are oriented towards students’ mathematical literacy skills, including appropriate use; 2) the implementation of blended learning in the use of digital materials with mobile-based sequences and series materials oriented towards mathematical literacy has great effectiveness; and 3) students’ mathematical literacy using mobile-based digital learning materials in blended learning is in the moderate category.
THE ROLE OF DIGITAL HUBS IN ENHANCING THE QUALITY OF FUTURE TEACHERS' PROFESSIONAL TRAINING IN THE CONTEXT OF EDUCATION DIGITALIZATION

International scientific conference “Scientific breakthroughs in mathematics and physics” : conference proceedings (August 2–3, 2023, Wloclawek, the Republic of Poland). Riga, Latvia : “Baltija Publishing”, 2023. 20 pages.
Intelligent Chatbot for Admission in Higher Education

Universities assist prospective students by giving counselling services and information, which is usually done directly at the educational institution, over the phone, or through social media accounts that is available on the college website. However, increasing visitors cause longer wait times due to officers’ restricted availability, resulting in lower satisfaction among prospective new students. Furthermore, this service is only available during university or college business hours. One possible solution to solve this problem is to use a chatbot to answer frequent questions raised by prospective new students. Intelligent chatbot for university admission is discussed in this study. Botsify platform was used to develop the chatbot for admission. 42 postgraduate students clicked on the chatbot link, most of them from Princess Nourah University. These students interacted with the chatbot by asking numerous questions and receiving responses from the chatbot. The chatbot performance was measured by using both the chatbot usability questionnaire and Confusion Matrix. According to the study’s findings, the chatbot system that was created could correctly and adequately answer questions provided by prospective students while the questions were stored in the chatbot knowledge. The measurement of chatbot performance was done by using Chatbot Usability Questionnaire (CUQ) which consisted of sixteen balanced questions about various elements of chatbot usability. The participants’ number of the Chatbot Usability questionnaire were 22. The result of the CUQ average was 76.6. At the same time, the Confusion Matrix was used to evaluate the chatbot performance and the accuracy of the chatbot was 91%.
Formats of interaction of pedagogical universities with urban communities

The development of modern universities, including pedagogical ones, takes place in the context of a model according to which the university has a high reputation in academic circles, whose graduates are in demand and are successfully employed, are involved in the development of territories, becomes a key subject of urban educational infrastructure, developing ties with various educational, social, scientific organizations and communities. In the study of the potential needs of urban communities and the formats of university interaction with them, the survey method and the focus group method were used (N=528). The results of the study. The interaction of universities with urban communities can be built in the following areas: educational work, information education, social and volunteer work at the request of urban communities, research work, provision of university infrastructure, consulting, cultural and leisure activities, expertise. The greatest demand from urban communities is concentrated in the social direction. The formats of working with urban communities are determined by their type.
Analysis of the effectiveness of the time interval within repeated advertisement impression

An approach to measuring the effectiveness of time intervals within repeated video advertisement impression on the Internet, based on big data, has been proposed and tested. The conclusions can be served as recommendations for media planning and setting time intervals in advertising systems.
Automation and management of file backups to the cloud of the Yandex.Disk service

Backing up web projects is an integral part of the strategy for ensuring information security and reliable operation of sites. Possible threats faced by web projects can lead to the loss of valuable data, customer base, commercial information and other critical elements affecting the business processes of organizations. Data loss can cause significant financial and reputational losses, as well as violate user trust in the resource. Therefore, storing backup copies of web projects on a separate server is a fundamental practice in ensuring their security. Placing copies on the same server as the main site may not be effective enough, since if serious problems arise with the server, all data, including backup copies, may be lost. A separate server for storing copies reduces the risks associated with physical damage and human errors, and also provides more convenient and faster access to data if it is necessary to restore it. This article discusses the “Module for automatic backup of files to Yandex.Disk”, which provides simple transportation of backup copies to a cloud service. A diagram of the operation of the main method of this module is given.
Features of automated organization of departmental network expert communities

The article deals with the task of automated organization of departmental network expert communities. It is noted that the formation of expert groups for participation in a particular examination of solutions should take into account the specifics of the upcoming examination, the individual characteristics of experts (competencies, knowledge, skills), as well as the features of their professional activities. The developed algorithm for the automated organization of departmental network expert communities provides an increase in the validity of decisions made by implementing the possibility of automated formation of expert groups based on the competencies and professional achievements of experts with a posteriori dynamic refinement of these competencies.
SOSIALISASI PENGELOLAAN ARSIP PADA KANTOR BADAN KEPEGAWAIAN DAERAH PROVINSI SULAWESI TENGAH

This activity aims to provide an overview of the role of archives for leaders in decision making at the Office of the Regional Personnel Agency of Central Sulawesi Province. The problem regarding the role of archives is very important in an organization considering that archives as a result of every administrative activity are stored and can be reused if needed both as material for accountability, authentic evidence, as a memory center and as information material in every decision making. The research was conducted by analyzing qualitatively to obtain descriptions of the role of archives for leaders in making decisions as expected. The results of the study indicate that the organization's functions are still less than optimal so that it has an impact on organizational goals that have not yet achieved maximum results.
Support of Data Literacy for Cultivation of Graduate Students' Innovative Ability: a Study Based on Empirical data

In view of the problems of unclear supporting mechanism of different dimensions of data literacy for the cultivation of graduate students' innovation ability in existing studies, which leads to an untargeted graduate students' data literacy training practice, this paper analyzes the supporting role
Grey Reasoning Petri Nets for Knowledge Representation and Acquisition

FPNs have been widely used for knowledge representation and reasoning in various areas.
Research on the Application and Effect of Blended Learning in English Listening and Speaking Course for English Majors ——Taking G College as an Example

With the advent of the information age and new literal arts, the traditional class learn-ing model and the e-learning cannot meet the needs of English learning. Under such circumstance, the blended learning model is widely applied since 2020. This paper aims to investigate the status quo of the appl
Analysis of Research Hotspots and Status of Virtual Reality in Education and Teaching

The purpose of the research in this article is to explore the current research status and trend of virtual reality in the field of education on a global scale, this study uses CiteSpace to visually analyze 892 related papers in the WOS database from 2019 to 2023. The results show that the current re
Research on Risk Early Warning for the Development of Young Scientific and Technological Innovation Talents in Shanghai in 2035

Young scientific and technological innovation talents are the source of living water for Shanghai's strategic talent force in 2035. In order to analyze the risk situation of the development of young scientific and technological innovation talents in Shanghai, this paper constructs an early warning i
The Influence of Multi-dimensional Social Capital on Science and Technology Innovation Willingness of University Science and Engineering Teachers

As the key scientific and technological talents, the promotion of university teachers' willingness to innovate in science and technology plays an increas-ingly significant role in enhancing the comprehensive strength of universi-ties and promoting the con-struction of a powerful country in science a
A Study on the Information Management of O2O Service Through Artificial Intelligence

Various technologies are developed in the era of the 4th Industrial Revolution. Among these technologies, artificial intelligence technology is a very important technology. In addition, as the IT industry developed, online commerce developed. Currently, many companies use O2O services that allow cus
Cyberbullying in the 21st Century: A Rising Threat to Youth in Digital Age

In the modern time, where anything can be accessed with a single click, social media has become more and more important in today’s environment. The Internet has had a significant influence on everyone’s life, and it goes without saying that young people make up the majority of internet users. The youth of the present time are living a digital life with the internet technology. It provides various comforts to its users. No doubt internet technology has provided us lot of benefits; however, it also operates as a breeding environment for certain undesirable behaviours, one example of such undesirable behaviour is cyberbullying. Cyberbullying is the misuse of technology with the intention to harass and harm others. Due to the fact that it is a common problem among youngster and has more harmful effects than expected. It has many negative consequences on its victims such as stress, anxiety, social dissatisfaction, negative school attitude and in some cases substances abuse, depression, physical harm, mental strain and in extreme cases suicide also. That is the reasons why it is treated as the disease in the 21st century. The tragic events and increased incidence of this new kind of bullying have therefore made researchers, educators, government officials, and parents aware of its severe ramifications. The main aim of this paper is to highlight cyberbullying and its expected consequences on the youngsters in the present digital age.