Reviewerly/exHarmony huggingface dataset:
USABILITY EVALUATION OF LIBRARY WEBSITES THROUGH CONTENT AND AESTHETIC QUALITIES IN SELECTED UNIVERSITIES IN SOUTHWEST NIGERIA

The library website is a task-oriented webpage(s) that requires regular evaluation. However, analyzing the content and aesthetic qualities of a library website is an essential ingredient for its usability testing. Hence, this study evaluated the content qualities and aesthetic features of university library websites in Southwest Nigeria. The study adopted a descriptive survey research design. The unit of analysis comprises undergraduate students from the six selected universities in southwest Nigeria, and their population stood at 99, 939. The study used a simple random sampling technique to select its samples and the sample size for the study is 398. A checklist and questionnaire were used as instruments for data collection. Collected data were analyzed using Statistical Package for Social Sciences (IBM-SPSS) version 21. The result of findings indicated that premium is placed more on aesthetic features than content quality and none of the understudy library websites has features for Frequently Asked Questions (FAQ), list of the new arrivals and space for advert placement. Based on the study analysis, the Kenneth Dike Library website of the University of Ibadan and Covenant University Resource Centre is better in terms of content quality than other university library websites in Southwest Nigeria. Library websites were found to be useful and yet not optimally utilized by the users due to the absence of some content and aesthetic features that tend to improve the usability of the library website. Consequently, the university library needs to prioritize its presence online and as well add features that will engage and elicit feedback from users. They also need to publicize among the users the use of library websites as veritable sources of scholarly information and communication.
Polytheoretical complex as the core of the concept of modeling event networks for different ages communities

The current sociocultural situation is characterized by the active implementation of models of the network structure of society. The purpose of the research presented in the article is to create a polytheoretical complex considered as the basis for the concept of modeling event networks for communities of different ages. Research objectives: 1) to develop a polytheoretical complex for modeling event networks, content and technologies of non-formal education and upbringing of a network of different ages community; 2) to determine the parameters of pedagogical support for the development of network different ages communities in modern education; 3) to conduct a pilot analysis of measures of state support for non-formal education of different ages communities in the CIS member states. As a result of the research, a polytheoretical complex has been proposed for the formation of event networks of the content and technologies of non-formal education and upbringing of network communities of different ages, based on the use of paired complementary, mutually enriching methodological approaches (and the corresponding theoretical foundations). The problem areas that require in-depth research of the problem of modeling event networks within the framework have been identified.
Ultimate accuracy limit of quantum pulse-compression ranging

We establish microwave-radar ranging's ultimate quantum limit, and show that quantum illumination (QI) ranging achieves this limit. Moreover, QI's ranging accuracy can be 10's of dB better than that of its best classical competitor.
Impact of information communication technology on reading proficiency of undergraduates in the University of Port Harcourt, Nigeria

The study adopted a correlational research design to assess the impact of information communication technology on undergraduate students’ reading proficiency. The population of the study includes all 31,675 undergraduate students in University of Port Harcourt for both newly admitted and returning undergraduate students in the 2020/2021 academic session. 1500 respondents were sampled for the study. The instrument for data collection was two self-designed questionnaire entitled: “Utilization of ICT Scale” (UTIS) and “Reading Proficiency Scale” (RAPS). Out of the 1500, 1287 questionnaires were correctly filled and returned indicating 85.8% response rate. Data was analyzed using descriptive statistics of mean (x̄) and standard deviation (±), and simple regression. The findings showed high use of ICT tools, low reading proficiency and negative relationship between ICT tools and reading proficiency. It was concluded that the use of ICT among students is impacting negatively on their reading performance. Among others, it was recommended that there should be policy of ICT use in education across educational levels, and importantly, learning activities should accommodate learning ICT tools, as well as, providing learning materials in digital formats accessible to students.
Analyzing the Security Risks and their Probable Solutions for Virtualization in Cloud Computing

Cloud computing has become the platform for different web services. It is because of the technology virtualization, which enables cloud providers to provide service for a large number of customers. It is cost-effective and it also enables an efficient way of data storage and data processing to provide service for a large number of customers. But there is a disadvantage also. There can be a risk of security breach if proper precaution is not taken. The main characteristics of virtualization are resource sharing and isolation. This is the strength of virtualization. But there can be a problem of security if used without taking proper precautions. The environment makes it prone to bugs and the whole system can be damaged by one malicious virtual machine in the cloud. This attacks other virtual machines in the cloud. This paper studies different risks in virtualization and analyses the different methods to overcome them and make the environment less vulnerable to risk.
Упровадження сучасних напрямів роботи з обдарованими дітьми в початковій школі

International scientific conference «Modern European psychological and pedagogical education. The development of a creative learning environment» : conference proceedings, October 8–9, 2021. Łódź, the Republic of Poland : “Baltija Publishing”, 2021. 162 pages.
Teaching English Language through Shakespeare’s Play

Teaching English Language through Shakespeare’s Play Muhammad Bilal Latif Abstract This research paper attempts to explain Shakespeare‘s play as source material for language teaching and learning. Ben Jonson says ―Shakespeare Not of an Age, but for All Time‖. We can use Shakespeare‘s play as primary sources in the present day class room. It is like language through literature concept of teaching and learning. If we teach English with the help of Shakespeare‘s play ‗Romeo and Juliet‘ is very interesting to the students of second language. Literature motivates the students to learn language unconsciously. Romeo and Juliet is a monument of Shakespeare‘s talent, and as such, we believe that students learn best using a performance based methodology and that performance can build a personal connection with the text that traditional teaching methods may not. It gives students listening, speaking, reading and writing skills in practice. Full Text: PDF DOI: 10.15640/ijll.v9n2a8
VALUE AND MOTIVATIONAL DETERMINANTS OF PERSONAL AND PROFESSIONAL GROWTH OF A HIGHER EDUCATION TEACHER

The article is devoted to the analysis of value-motivational factors that accompany the personal and professional growth of a high school teacher. Analysis of the scientific literature shows a growing interest to the value-semantic sphere and meaning-making activity of the individual. The article emphasizes that the issue of values, especially the process of their formation, development and regulation is relevant for the educational sphere. Values have a semantic nature, so the rationale for the semantic regulation of life allows us to consider value orientations as deep regulators of human behavior. The formation of human values begins long before the subject gains professional experience. Therefore, values can directly determine professional activity. It is determined that values have a dynamic aspect. The dynamics of the development of value orientations is manifested in human behavior and a certain system of relations to themselves, to others, to the world. But the values of the teacher and the values of society can also conflict and have a significant impact on professional and personal growth. The author suggests that this may be due to the unique characteristics of the physical and mental composition of each individual, his introjects and his responsibilities. The article presents motivational components that characterize the motivation of pedagogical activity. Motivational and value aspect of the teacher's activity is determined by professional and value orientations, personal constructs and guidelines. Pedagogical motivation is characterized by focus, stability, dynamism and is seen as a hierarchical structure, which includes the teacher's relationship to himself and his students, values, goals, meanings, needs in teaching. The article emphasizes that the formed motivation of professional selfdevelopment is one of the main conditions for independent mastering by a teacher of the necessary knowledge and skills, development of personal characteristics necessary for successful mastering of professional activity. The author of the article emphasizes that the most important condition for the successful work of a high school teacher should be the recognition of the value of each person, the importance of human relationships in the process of learning and education.
A Case-Study on Topic Modeling Approach with Latent Dirichlet Allocation (LDA) Model

In natural language processing, subject displaying is a sort of factual information models for identifying the points from an enormous assortment of corpus of records. Subject demonstrating is a sort of text-digging device for revelation of stowed away semantic designs in a text body. In the proposed model high layered text informational index named article.csv is handled to acquire primary themes or as often as possible happening subjects for our text information by giving the catchphrases of every point. In this work, a dataset of abstracts are collected from two different domain journals for tagging journal abstracts. The document models are built using Latent Dirichlet Allocation (LDA).Topics thus extracted can be used to get meaningful insights from the text data. In this paper LDA model is used to gives an extra analytical boost for the model. First the data is preprocessed as text data before giving the data to the model as the predictions. Then topic modeling is performed on the preprocessed data by integrating the framework of LDA topic modeling for more optimal classification of topics in the documents.
Financial System Structure and Economic Growth in Cameroon: Relative Efficiency of bank and market finance

This paper aims to determine whether banks and market finance compete or complement each other.Using the Beck (2010) methodology, it confronts pro-bank and pro-market literature and applies OLS techniques to assess the relative importance of bank-based and market-based finance.The results show that banks have a negative impact on growth, but markets are not significant.However, banks and markets complement each other to foster growth.Cameroon could improve the financial market activity to boost the potential of finance to positively affect economic growth.
Pedagogical design in Higher and Secondary vocational education (review of the Russian scientific and practical conference’s materials with international participation)

This article is a review of the Russian Scientific and Practical Conference’s materials with International participation on Pedagogical design, which was held at the Bryansk State Technical University on February 25, 2021. The review presents reports and presentations made online by representatives of nine higher educational institutions and two institutions of secondary vocational education, which are structured on three grounds: pedagogical design as a field of scientific knowledge and as a process of designing the learning environment; training in a virtual information environment and the development of digital educational materials; ergonomic support for the pedagogical design of network learning technologies. Conclusions are drawn based on the results of the conference, related to the prospects of the scientific direction of pedagogical design’s ergonomic support in digital didactics, which is the basis of advanced educational technologies in higher and secondary vocational education.
Iconographic changes through time in Upper Paleolithic parietal art

Art traditions reflect beliefs, practices, customs and unconscious factors. If it is relatively easy to study these features in historic art traditions, the same is not true for prehistoric times. Archaeology has to rely on multidisciplinary approaches in order to counterbalance the deficiencies in documentation. In the case of Upper Paleolithic parietal art, the large quantity of images permits a quantitative study of different iconographic features and their change through time. In recent work, I created a statistical database with the program SPSS containing more than 2,000 images of parietal art from the Upper Paleolithic. The study of correlations between different discrete variables provides the possibility of finding specific cultural “markers.” This represents an alternative to the study of stylistic features, a qualitative and valid methodology that is sometimes criticized for its lack of objectivity. In the following, I present the change through time of the preferential profile orientation of figures in order to confirm or cast doubts about the cultural boundaries in Upper Paleolithic Europe.
An Application Research on the MOOC-Based Flipped Classroom Teaching Model

MOOC is mainly the use of the network platform to show the teaching content in the form of micro-lesson, and flipped classroom is a unique innovative and individualized teaching model.The MOOC-based flipped classroom teaching model is the use of network technology and resources to flip the teaching goal and teaching form, teaching subject and teachers, and to create a new situation of teaching and learning.On the basis of a full study on the current situation and related theories of the application of the flipped classroom and MOOC, this paper constructs the MOOCbased flipped classroom teaching model, and applies it to the course International Trade Practice English.The author carries on the teaching experiment to explore the effectiveness of flipped classroom teaching model in college English teaching.The experiment proves that the application of the MOOC-based flipped classroom teaching model improves students' academic performance and the teacher and students have a positive attitude towards the implementation of the MOOC-based flipped classroom teaching model.Finally, the author summarizes the major findings for the follow-up research with a hope to provide some reference for the future application.
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining

Deep Generative Networks (DGNs) are extensively employed in Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and their variants to approximate the data manifold and distribution. However, training samples are often distributed in a non-uniform fashion on the manifold, due to costs or convenience of collection. For example, the CelebA dataset contains a large fraction of smiling faces. These inconsistencies will be reproduced when sampling from the trained DGN, which is not always preferred, e.g., for fairness or data augmentation. In response, we develop MaGNET, a novel and theoretically motivated latent space sampler for any pre-trained DGN, that produces samples uniformly distributed on the learned manifold. We perform a range of experiments on various datasets and DGNs, e.g., for the state-of-the-art StyleGAN2 trained on FFHQ dataset, uniform sampling via MaGNET increases distribution precision and recall by 4.1\% \& 3.0\% and decreases gender bias by 41.2\%, without requiring labels or retraining. As uniform distribution does not imply uniform semantic distribution, we also explore separately how semantic attributes of generated samples vary under MaGNET sampling.
In-house training as a condition for the training of teaching staff in educational institutions

The authors of the article draw attention to the fact that the policy of modernization and standardization of the educational system involves the creation of favorable conditions for improving the quality of education, in accordance with modern requirements; the renewal of education as a whole is accompanied by the introduction of various innovations in individual educational organizations. The authors identify a number of competencies that determine the successful socialization of the younger generation in society.
ON-LINE LEARNING IN HIGHER EDUCATION: CURRENT CHALLENGES FOR UKRAINIAN UNIVERSITIES

The idea of the paper is to characterize and analyze current online learning practices and the ways to implement these practices in Ukrainian higher education institutions. Taking into account all possible challenges Ukrainian tertiary education system may face in the conditions of the pandemic, the article suggests the ways of reconsidering the approach to teaching and learning. Education systems all over the world including Ukraine are facing the necessity to reconsider learning and teaching paradigm and accommodate it to digital education environment. Among the features of online learning, we may identify student-centered approach, close student-student, teacherstudent and content-student interaction, its wide availability and flexibility, co-creation, the opportunity to upgrade one’s self-assessment and critical thinking skills, the choice to join either synchronous or asynchronous online courses due to the individual life and working schedules, blended learning opportunities, instantaneous feedback on students’ performance, high level of digital literacy and etiquette to meet present requirements towards teaching and learning online. Challenges for Ukraine may include the urgency of teacher training, a new design of online courses, which reconsiders teacher-student interaction, the necessity to educate students and teachers in terms of digital literacy and etiquette, the availability of high-speed Internet in remote areas, and implementation of new approaches to teaching and learning. Another challenging aspect of learning via the Internet is that a person may feel herself isolated, which may cause certain psychological problems. Making the first steps in the direction of reorganization of higher education system, one should also think about the consequences, learning online may draw.
The Effect of Herringbone Technique on the Students’ Ability in Comprehending Reading of Narrative Text

This research was conducted to find out the effect of Herringbone Technique on the students' ability in comprehending reading narrative text at grade VIII of SMP Swasta GKPS 3 Pematangsiantar.The problem of the research is "Does Herringbone Technique significantly affects on the students' ability in comprehending reading Narrative text at grade VIII of SMP Swasta GKPS 3 Pematangsiantar?"The methodology which used in this research was the quantitative research.The data for this research was collected from the grade VIII of SMP Swasta GKPS 3 Pematangsiantar.The writer used two classes as the sample, where one class was experimental group and the other one as the control group.The instrument for collecting data was by reading test.The text used is narrative text.The questions are arranged in such a way to ask all components of the narrative text.The data were analyzed by applying the T-test.It was found that the T-observed was 5.3 and Ttable was 2.00 at the level of significant p=0.05 and df= 78 ; (N x + N y -2 = 40 + 40 -2 = 78).The result of the analysis shows that the value of the T-observed was higher than the value T-table (5.3 > 2.00).It means that Herringbone Technique has significant affect on the students' ability in comprehending Narrative text, and the suggestion is the teacher should use Herringbone Technique in teaching English especially in teaching reading to improve the students' reading comprehension competence.
Characterization of Dataset Exploiting Sentiment Analysis over Twitter

Over the past many years in the world of social media, twitter has attained a position as one of the most popular social networking sites (SNS) and provided to millions of people an opinion sharing platform. Thus, twitter started giving rise to many trending topics now and then and has attracted researchers for research in various dimensions. Since twitter is an opinion/sentiment sharing platform, sentiment analysis research has gained a lot of attention in recent years. These researches help in understanding the way people think and respond to an event as well as the purpose for which SNS are established. In this paper, we have outlined the most significant and relevant research in the above field in the recent few years. A novel characterization of twitter research data is presented and dataset creation and its implications are diagrammatically illustrated. The insight of dataset discussion would lay a strong foundation for the research in the concerned field. Moreover, it is envisaged that the future direction highlighted in the manuscript shall open various new dimensions of social network research.
Comparative Study of Surrogate Techniques for CNN Hyperparameter Optimization

Optimizing hyper parameters in Convolutional Neural networks is a tedious process for many researchers and practitioners. It requires a high degree of expertise or experience to optimize the hyper parameters, and manual optimization is likely to be biased. To date, methods or approaches to automate hyper parameter optimization include grid search, random search, and Genetic Algorithms (GAs). However, evaluating large number of sample points in the hyperparameter configuration space, as is typically required by these methods, is a computationally expensive process. Hence, the objective of this paper is to explore regression as a surrogate technique in CNN hyperparameter optimization. Performance in terms of accuracy, error rate, training time and coefficient of determination (R2) are evaluated and recorded. Although there is no significant performance difference between the resulting optimized Deep Learning and state-of-the-art on CIFAR-10 datasets, using regression as a surrogate technique for CNN hyperparameter optimization contributes to minimizing the time taken for the optimization process, a benefit which has not been fully explored in the literature to the best of the author's knowledge.
A Survey Paper on Fake Review Detection System

Nowadays, E-commerce websites has become a vital part of regular life. The pandemic has taken a quick step towards the digital world and initiated changes in online shopping behaviors. While buying products online many people read the reviews related to the product and then decide on buying it. So, reviews play an important role if a customer wants to buy any product. This leads to increased spam review volume in social networks and e-commerce websites like Flipkart, Amazon, etc. Fake reviews can be used to demote a good product or to promote a bad product, so there is a need for robust and reliable techniques to detect fake reviews which can be beneficial to the customer as well as to the vendor. The objective of this survey paper is to get an overview of different methodologies used to solve such problems. This research presents a systematic review on methods to detect spam review using different Deep Learning (DL) Approaches, Machine Learning (ML) Methods, Natural Language Processing (NLP), and Sentiment Analysis.