Reviewerly/exHarmony huggingface dataset:
Mistrust and the Rise of Disinformation

We have more information at our fingertips than ever, yet how much of it can we trust? If, as was argued in Chapter 3, we need to be able to trust the information upon which we base our assessments and beliefs about the trustworthiness of other actors, then the sorts of information disorders associated with the age of disinformation can have profoundly negative repercussions for societal trust and the social cooperation and coordination it supports. By examining the rise of mistrust and disinformation, the many faces of disinformation, and the causes of our current “age of disinformation,” this chapter aims to set the context for understanding the appeal and promise of blockchains and distributed ledgers in troubled times.
Underlying Causes For Developing Multicultural Personality Within Education Globalization Processes

The authors of the article aim at highlighting the impact of modern world processes on the contemporary education system; the strengths and weaknesses of globalization are discussed. The strongest aspects include the emergence of the world market for educational services, the informatization and digitalization of education, convergence, the standardization of educational and cultural systems, accelerated technological progress through the exchange of technologies. There is also the development of international cooperation, etc.; among the weaknesses are the deindustrialization of the economy, the gap between developed and developing countries, various problems associated with tolerance, environmental degradation, the emergence and spread of global environmental problems. Within the framework of this article, the issues of tolerance and the ecological crisis are of the greatest significance and research interest for the authors. The problem of the formation of a modern personality in the new world multicultural conditions is actualized. The primary goals of modern education are introduced; they are reflected in the Declaration on the Culture of Peace, adopted by the resolution of the UN General Assembly of September 13, 1999. The authors describe practical material confirming the need to develop and introduce the term “multicultural personality” into the educational discourse, as well as emphasizing the importance of changing the orientation of education to a more global perspective. The results of discussion sessions in the format of panel talks with students on global problems such as the environmental crisis and tolerance in modern society are presented.
Study Buddy: An English Training Program for College Students Who Failed Their English Comprehensive Exam

This study delved into the implementation of the Study Buddy program to help college students who failed their English comprehensive exam. Nine students participated in the study. Descriptive qualitative methods were used. The Study Buddy program was carried out by English lecturers teaching at the university. The program consisted of two stages: English training and private tutoring. The materials were related to those of the English comprehensive exam, covering four language skills: listening, speaking, reading and writing. Data were collected through the English comprehensive exam and by interviews. It was found that there were significant changes seen after the students participated in the Study Buddy program. The findings also showed that the participants were extremely enthusiastic about the program, shown by their high attendance rates (95%) and their positive responses regarding the program. This study hopes to shed some light on the importance of helping students with English learning difficulties. &#x0D; Keywords: study buddy, English training, college students, English comprehensive exam
Development of Project Activities for Teachers and Students of the Education System

The main purpose of the article is to identify and analyze the main mechanisms for the development and improvement of project activities for teachers and students of the education system and a brief analysis of the content and structure and determination of an important condition for the development of pedagogical activities in connection with project activities. Changes in social life taking place in our time require the development of new methods of education, pedagogical technologies dealing with the individual development of the individual. It is necessary to develop students' ability to think independently, to acquire and apply knowledge. This is due to the introduction of methods and technologies into the educational process based on the design and research activities of students. To achieve this goal, it is necessary to highlight the essential attributes of activity, analyze various interpretations of project activities and concepts similar in content to it, determine the components of pedagogical activity, make a comparative analysis of pedagogical and project activities and prove that project activity is a condition for the development of pedagogical activity. As a result, the main mechanisms and techniques for the development and improvement of project activities for teachers and students of the education system were analyzed and investigated
Review Sentimental Analysis

Sentiment analysis or opinion mining is the computational study of people’s opinions, sentiments, attitudes, and emotions expressed in written language. It is one of the most active research areas in natural language processing and text mining in recent years. Its popularity is mainly due to two reasons. First, it has a wide range of applications because opinions are central to almost all human activities and are key influencers of our behaviors. Whenever we need to make a decision, we want to hear others’ opinions.
Limited-memory common-directions method for large-scale optimization: convergence, parallelization, and distributed optimization

Abstract In this paper, we present a limited-memory common-directions method for smooth optimization that interpolates between first- and second-order methods. At each iteration, a subspace of a limited dimension size is constructed using first-order information from previous iterations, and an efficient Newton method is deployed to find an approximate minimizer within this subspace. With properly selected subspace of dimension as small as two, the proposed algorithm achieves the optimal convergence rates for first-order methods while remaining a descent method, and it also possesses fast convergence speed on nonconvex problems. Since the major operations of our method are dense matrix-matrix operations, the proposed method can be efficiently parallelized in multicore environments even for sparse problems. By wisely utilizing historical information, our method is also communication-efficient in distributed optimization that uses multiple machines as the Newton steps can be calculated with little communication. Numerical study shows that our method has superior empirical performance on real-world large-scale machine learning problems.
Evaluating Topic Modeling for Saudi Newspapers Texts Using LDA: A Computational Linguistics Study

This paper is in the field of natural language processing. It applied unsupervised machine learning approach to identifying the latent topics in Saudi newspapers using one of the most important unsupervised topic modeling algorithms. This algorithm is called Latent Dirichlet Allocation (LDA). I built a corpus from Saudi newspapers, and it contained 4,781 texts after the preprocessing stage. It consisted of 649,734 tokens. The results of training 20 models with ten words showed that the optimal value for the number of topics in those texts is 7 topics. The 7-topics model got a good coherence degree of 0.6723. These topics were inferred through its ten words that had the highest probabilities on each topic. I interpreted the topics, respectively, according to the following topics: surveillance and awareness, development and improvement, sports, health, economics, domestic affairs, and international politics. The 7-topic model was evaluated qualitatively by manually reviewing the coherence of words in each topic. Also, I reviewed the first fifty texts on each topic to make sure that each of which belongs to the topic that LDA was assigned to it. The qualitative evaluation was supported by the algorithm being conducted again on the texts of each of the seven topics to access more details on each topic separately. Although there are some shortcomings in the results of the topic modeling, they can be optimized and then studied in discourse analysis instead of the traditional approaches.
Stereo-IA: stereo visual intensity alignment and beyond under radiation variation

Stereo vision is a hot research topic at present, but due to the radiation changes, there will be a large intensity difference between stereo pairs, which will lead to serious degradation of stereo vision based matching, pose estimation, image segmentation and other tasks. Previous methods are not robust to radiation changes or have a large amount of calculation. Accordingly, this paper proposes a new stereo intensity alignment and image enhancement method based on the latest SuperPoint features. It combines the triangle based bearings-only metric, scale-ANCC and belief propagation model and has strong robustness to radiation changes. The quantitative and qualitative comparison experiments on Middlebury datasets verify the effectiveness of the proposed method, and it has a better image restoration and matching effect under the radiation changes.
Siamese Network with Feature Fusion for Visual Tracking

The visual tracking based on deep learning has developed greatly in recent years and has great advantages in accuracy and real-time speed. The target features are extracted through the backbone network. However, most networks only use the features extracted from the last layer of the network as output. In some complicated networks, the final features are mostly semantic feature information. The shallow appearance information is ignored. This greatly reduces the effective use of extracted feature information. In this study, a non-linear multi-layer feature fusion network combined with Siamese network is proposed to improve it. It uses CNN to fuse multi-layer features in a non-linear manner. The utilization of feature information and tracker performance indicators have been significantly improved. The new tracker is evaluated on the VOT2016 and UAV123 benchmarks. The result shows that the new tracker achieves very good performance and its performance has been significantly improved compared to the previous ones without the fusion network. The EAO is increased by 1.9% on VOT2016.
Training teachers in the design of experimental tasks for the development of students’ science literacy

Introduction. An analysis of the results of international comparative studies showed that the use of experimental tasks in the educational process ensures that students achieve higher levels of science literacy. The research purpose is to study the technology of designing experimental tasks for the development of students’ science literacy to improve teachers’ professional competencies in the field of monitoring, control and evaluation of the quality of students’ educational achievements, taking into account modern international standards. Methods. Theoretical methods included as follows: content analysis of scientific and methodological literature on the formation of students’ science literacy; generalization of the analysis of results of Russian schoolchildren’s participation in international studies. Observation, pedagogical experiment and questioning were used as empirical methods. When developing diagnostic tools, the structure of teachers’ professional competencies was considered as a combination of three components: knowledge, skills and practical experience. Statistical processing of the results of the pedagogical experiment was carried out using the sign test (G-criterion). The study involved 102 teachers from educational institutions of the Perm Krai (Russian Federation). Research results. A technology for designing experimental tasks for the development of students’ science literacy was developed and tested, and a typology of experimental tasks was described. The results of the pedagogical experiment on testing the task design technology revealed the development of a cognitive component of teachers’ professional competencies (with a significance level α=5% Gemp&lt;Gcr, 47&lt;72). All participants in the experiment demonstrated a positive trend in the development of the ability to analyze PISA tasks and correlate them with the main components of science literacy (with a significance level α=5% Gemp&lt;Gcr, 65&lt;102). Conclusion. The conducted research makes it possible to draw a conclusion about the effectiveness of the developed approaches to the design of experimental tasks. Using the design technology, teachers can prepare formative and summative assessment tasks for the systematic development of students’ science literacy.
Primary English school teachers’ emotional labour: Focused on interpersonal relationships

This study aims to examine the emotional labour in relation to English language teaching among Korean primary school teachers. A special focus is placed on a relational factor associated with their emotional labour. For this purpose, purposeful sampling was used to identify ten local primary school teachers who have more than five years of experience teaching English to primary school students. An interview was conducted with each of the ten participants, and content analysis was used to analyze the qualitative data. The results show that there are three groups who are related to the emotional labour of English language teaching among primary school teachers: parents, primary school students and native English speaking teachers. Local English primary school teachers are often situated in power games with the three groups, and teacher professionalism is challenged by the groups, which creates emotionally provocative situations among primary school teachers. The study suggests that we need to develop educational environments in which teacher professionalism is respected in order to reduce emotionally challenging situations.
Sistem Informasi Kehadiran Karyawan Berbasis Android Menggunakan Metode Geofencing Pada Pt. Gemilang Anugrah Permata

The development of technology is so fast that it becomes very necessary in everyday life in order to simplify and optimize human performance in order to get information quickly, effectively and accurately. The use of information technology is a strong factor that greatly influences the development of a company. Currently, its development has begun to move towards mobile phones (mobile / smartphone). Currently, companies can take advantage of the development of information technology in almost all areas of the company's operations. PT. Gemilang Anugrah Permata is a company engaged in IT solutions and security systems, has dozens of employees assigned to go directly to the field to install CCTV and solve problems. Often in practice employees do permission to come directly to the client's location, resulting in the admin needing to re-enter the employee's presence. In that case the accuracy of attendance becomes irrelevant because sometimes employees do not come according to the specified working hours when they come to the client. So it is necessary to develop a web and android-based information system with the geofencing method so that employees can take attendance while at the client according to a predetermined point and the attendance data becomes accurate.
Selection of the Best K-Gram Value on Modified Rabin-Karp Algorithm

The Rabin-Karp algorithm is used to detect similarity using hashing techniques, from related studies modifications have been made in the hashing process but in previous studies have not been conducted research for the best k value in the K-Gram process. At the stage of stemming the Nazief &amp; Adriani algorithm is used to transform the words into basic words. The researcher uses several variations of K-Gram values to determine the best K-Gram values. The analysis was performed using Ukara Enhanced public data obtained from the Kaggle with a total of 12215 data. The student essay answers data totaled to 258 data in the group A and 305 in the group B, every student essay answers data in each group will be compared with the answers of other fellow group member. Research results are the value of k = 3 has the best performance which has the highest some interpretations of 1-14% (Little degree of similarity) and 15-50% (Medium level of similarity) compared to values of k = 5, 7, and 9 which have the highest number of interpretation results 0%-0.99% (Document is different). However, if the students essay answers compared have 100% (Exactly the same) interpretations, the k value on K-Gram does not affect the results.
Teachers’ Strategies in Teaching Speaking during Pandemic at SMAN 1 Jongkong

In speaking English, students have problems with limited vocabulary, pronunciation accuracy, self-confidence, and others. The teacher's strategy has a lot of influence on improving students' speaking. During this pandemic situation, teacher must apply the appropriate strategy in teaching speaking, since the classroom situation is different. The research aimed to identify the teachers' obstacles in teaching speaking and to find out the teachers' strategies in teaching speaking during pandemic at SMAN 1 Jongkong. The design of this research is the qualitative research which case study. The subjects of this research were two English teachers who teach English in tenth and eleventh grades of SMAN 1 Jongkong. The data of this research were collected by observation, interview, and documentation. The data were analyzed by: data reduction, data display, and drawing conclusion. Then, to point out the trustworthiness of the data, this research used triangulation method. Method triangulation was used in this research to compare the outcomes of interviews and the findings of observations. It means that in checking the data validation, researcher has to compare some method of collecting data that have been used (observation, interview, and documentation) in order that the data collection was in the same place or portion. The result of this research shows that the students found obstacles in learning speaking during pandemic situation, such as problem with internet connection because they were located in remote area which had poor connection and students were mostly passive during the online learning process because they felt ashamed and scared to answer teacher’s question, since they still had to adapt the current learning situation. Therefore, the English teachers applied various strategies to achieve the goals in teaching speaking. The strategies were storytelling, conversation practice, discussion, and translation.
Reflections on emerging HCI–AI research

Human computer interaction (HCI) has grown into a mature field of research. With artificial intelligence (AI) finding ubiquitous applications, HCI research is now moving ahead towards accommodating and integrating these approaches. A part of the research community is of the opinion that HCI and AI are fundamentally opposed to each other: with AI-powered devices being demonic and humans are to lose in a race against them and HCI-oriented products being human centred being the flag bearers of the human race. In this paper, we look at and analyse this perspective of how HCI relates to AI and the potential HCI–AI integration. We suggest that humans evolve by having dynamic identities. We further discuss its implications on the AI critique and suggest some new perspectives on the possible integration of HCI and AI research which we hope would be useful for the community.
COMIC BOOKS AS A TOOL IN MATHEMATICAL CLASSES OF THE 1S CYCLE OF BASIC EDUCATION

This article presents an investigation using Comic Books (CB) for teaching and learning Mathematics in the 1st Cycle of Basic Education (CBE).CB have a strong motivational component for the students. Besides, it also has several advantages for teaching, such as, promoting the attention of the students and developing skills to interpretate mathematical texts. Working with an image and a written text message, it will enhance and improve the comprehension of the problematic situation by the students, promoting their reasoning skills and developing critical knowledge. Colors, size and type of letter are elements that increase the motivational and leisure value of this tool.CB as a learning tool in the classroom, can be used as a starting point to several activities in the class, using mathematical concepts and increasing the interest of the students.The function CB is not only of leisure and entertaining, but also, the pedagogy point of view, which is acknowledged through its communication potential. It also allows to interact with the students in a more personal, emotional, and intellectual level, resulting in a better connection with the teaching of mathematics in the classroom.CB should be viewed as a tool that can be used in a way to complement all the resources that teachers have, in a way to stimulate classes and help in problem solving.In this study it will be analyzed the advantages of using CB by teachers od 1st CBE to teach mathematics, in particular: (i) the opinion of 1st CBE teachers regarding the use of CB to approach problematic situations; (ii) Level of importance assigned to CB in mathematical class; (iii) Level of frequency that the teacher use CB.In this study it was used a quantitative methodology, by making inquiries to 32 teachers of several schools from the 1st CBE. The data analysis showed that the teachers use CB with a low level of frequency as an educational tool, although they acklowledge the benefits to the students; they also admite the potencial of CB as a tool that will motivate the learning process of mathematics in the 1st CBE, contributing to help the interpretation of texts, in the developments of reasoning and in the resolution of problematic situations.Finally, we can state that although most of the teachers give an high important level to the pedagogy potential of CB in mathematic classes, this tool is rarely used by the teachers in the learning process of mathematic by the 1st CBE students.
An improved crowd detection system using text and image filtration methods for precautions from COVID-19

The text feature is an important descriptive feature of many image analysis applications. Objectives of this study aim to determine the different texture characteristics of them estimation and calculation of population density. In this paper, we have various reviews of the texture and their own have been extensively reviewed, a different combination that is possible to test their effectiveness in crowds of pedestrians. Divide into two categories and retreat. A framework has been proposed to evaluate performance of all aspects of the density coefficient of human density as well to count. According to the framework, the input images are categorized into blocks and blocks into cells of different sizes, having various levels of overcrowding. Because of a distorted view of people, people's visibility near the camera contributes greatly to this feature vector than distant people. Therefore, the features released are usually using a standard visual map of the scene. In the first stage, picture blocks are classified using multiple classes SVM has been at a different level of congestion. In the second phase Gaussian Process Deactivation is used to restore undoing low-level features for calculation. Various texture features and their possible combinations checked on publicly available dataset.