Reviewerly/exHarmony huggingface dataset:
Introduction of a regional mechanism for organizing the system of rural schoolchildren’s social practices on the example of the Kostroma region

Using the example of the Kostroma region, one of the regions of the Russian province, where about 66 % of educational organizations are located in rural areas, the article presents the regional system of social practices of village schoolchildren as a condition for the development of children's abilities and upbringing of a socially responsible person. The relevance of systematic work in this direction is due to the fact that additional education of children in the Russian province should become such an influence factor for the child that will raise him to a new level of development, ensuring positive socialization and personal growth. The analysis of the work of additional education institutions in the Kostroma region allowed us to identify the following features of additional education in rural areas: Preservation and development of the historically formed close relationship between additional education of children and rural life in the region; the activities of additional education institutions have a huge cultural impact on the spiritual and moral state of rural communities, the development of the social life of the population in settlements and villages; there are great opportunities for interaction between children and adults, which contributes to the joint solution of urgent problems of the village; for many rural schoolchildren, it is the countryside, its nature, history and culture of their native land that serves as a source of creative forces, material for research and transformation. The components of the regional system of social practices of rural schoolchildren are models of additional education: «Integration», «Network interaction», «Distant studying», «Additional education based on school», «Profile training», «Project», «Active events». The introduction of a regional mechanism of organizing the system of social practices and tests of village schoolchildren contributes to the active process of preparing village students for independent life in the modern dynamic world.
A Comparison of Various Optimizers for Handwriting Recognition using Deep Learning

Deep learning has an important role in the tasks of computer vision and image classification. In this paper, we work on performance enhancement of handwriting recognition using different platforms such as PyTorch and Keras. We compare between the various optimizers used to extract features from handwritten digits using Convolutional Neural Networks. This paper gives a comparison between three popular optimizers and compares the accuracy achieved on MNIST dataset using these on two different frameworks.
Building a Chatbot for the Department of ECE using Flask

A Chatbot aims to make a conversation between both human and machine. The machine has been embedded with knowledge to identify the sentences and make a decision as the response to a question. The present technical project consists of developing a system for ECE Department enquiry using web based Chatbot. The ECE Department Chatbot has the capacity to make friendly conversations and gives the link for academic syllabus of different years as well. It also gives the faculty details such as their email address and mobile number. Implementation of the ECE Department Chatbot overcomes certain barriers of a website since it correctly understands the user's questions, asks clarifying questions if required and then retrains the system to give the response that the user intends to get. The heart of ChatBot technology lies in Natural Language Processing or NLP. The project uses Artificial Intelligence Mark-up Language (AIML) which is an XML based mark-up language meant to create artificial intelligence applications. AIML makes it possible to create human interfaces while keeping the implementation simple to program, easy to understand and highly maintainable. Along with AIML it uses Flask, which is a web-framework similar to Django, but is more Pythonic. Implementation is done in Python using some of its software libraries.
Employability of Persuasive and Rhetorical Strategies: A Corpus-Assisted Critical Discourse Analysis of Prime Minister Imran Khan’s Selected Address

This study deals with the utilization of Persuasive and Rhetorical Strategies used by Prime Minister Imran Khan in his address to the nation on 17th March 2020. This address was made in the background of the Covid-19 pandemic. Aristotle’s concept of persuasive components namely ethos, pathos, and logos was followed to examine the utilization of these devices. Furthermore, rhetorical devices like rhetorical questions, inclusiveness, and exclusiveness were also analyzed. A Mixed-Method approach was used to analyze the data. Quantitative data were obtained by using Corpus software AntConc, 3.5.8 (windows) 2019. Concordances were taken through this software, related to different devices and techniques. These numerical data were elaborated qualitatively. On the basis of the findings of the study, it can be said that PM Imran Khan practiced these techniques effectively and extensively.
Incorporating Quality Measurement into Scientific Document Retrieval

One of the challenges facing todays' researchers is how to find qualitative information that meets their needs.In scientific research, the quality of information is very important for institution quality improvement and research validation.The main purpose of the paper is the proposal of a scientometric annotation approach to improve retrieval system performance and meet researchers' needs.In this work, we discuss how to use scientometrics in document annotation to improve information quality.One possible solution to this problem is to automate and facilitate the selection of qualitative scientific documents by enriching the document annotation process with scientometric criterion.Our approach provided better performance for retrieval system compared to BM25 retrieval model.The best performance was supplied by the integration of document citation number and journal or conference ranking.The best improvement rate was 52.22% in nDCG, 27.45% in MAP and 83.33% in P(k).An important implication of this finding is the existence of correlation between research paper quality and paper relevance.
Fine-tuning BERT to classify COVID19 tweets containing symptoms

Twitter provides a source of patient-generated data that has been used in various population health studies.The first step in many of these studies is to identify and capture Twitter messages (tweets) containing medication mentions.Identifying personal mentions of COVID19 symptoms requires distinguishing personal mentions from other mentions such as symptoms reported by others and references to news articles or other sources.In this article, we describe our submission to Task 6 of the Social Media Mining for Health Applications (SMM4H) Shared Task 2021.This task challenged participants to classify tweets where the target classes are -(1) self-reports, (2) nonpersonal reports, and (3) literature/news mentions.Our system uses a handcrafted preprocessing and word embeddings from BERT encoder model.We achieve.F1 score of 93%.
Development of Noxological Culture in Students Teaching Occupational Safety and Health in Pedagogical Institutions of Higher Education

The development of noxological culture in students of pedagogical educational institutions is an urgent issue, as it is associated with the state of protection of the individual and society from internal and external threats in everyday life. The purpose of the study was to analyse the discipline “Occupational Safety and Health”, which plays an important role in understanding the potential hazards associated with human activities and forms risk-oriented thinking. The following methods were used in the research process to establish the relationship between noxological culture and the safety of future teachers: elementary-theoretical analysis and synthesis of factual material, axiomatic method, and generalisation. The concept of noxology and noxological culture of personality is considered. As a result of the study, it was determined that noxological culture constitutes an important structural component of life safety, and forms an integral part of the professional culture of every future specialist. The important role of the discipline “Occupational Safety and Health” in the development of noxological culture of students is determined. The components of noxological competence are considered. The important role of pedagogical higher education in the process of development of scientifically substantiated criteria of possible risk is identified. The study of the above discipline forms a system of knowledge regarding the nature of hazards, their features and ways to reduce risk and their occurrence
“MATTER OF CONCERN” PABRIK ES ALWI ASSEGAF PALEMBANG SEBAGAI BANGUNAN HERITAGE

ABSTRACT&#x0D; As one of the oldest cities in Indonesia, Palembang has a history related to the Musi river. The Musi River divides the city of Palembang into Ilir and Ulu. This river was known as a trade route in ancient times, so that many Chinese and Arab immigrants settled on the riverbank. In the Ulu, there are several village areas that are mostly inhabited by Arab residents, one of which is Assegaf Village. This study will specifically discuss the Assegaf village, especially its famous icon, the Alwi Assegaf ice factory. This factory is an integral part of the life chain of the Musi river. Many traditional fishermen rely on the ice factory and it is clear that the Alwi Assegaf ice factory has an impact and influence on residents. The purpose of this research is to explore further history, cultural ideas and actors who play a role in the Alwi Assegaf ice factory. It also aims to reveal the identity of the ice factory itself against the socio-economic conditions in Assegaf Village residents. The research method was carried out qualitatively in the form of interview, field observation and literature reviews. The elements discussed will use the ANT (Actor-Network Theory) method to obtain a mapping description of the actors involved in the daily production of the Alwi Assegaf ice factory. The contribution of this study can be used as a review of further research literature that focuses on actor-network theory analysis.&#x0D; Keywords: Actor-Network Theory, Actor, Assegaf Village, Ice Factory. Relation
IMPLEMENTATION OF APRIORI ALGORITHM WITH CUSTOMER ORDER PATTERN ANALYSIS FOR DETERMINATION OF RAW MATERIAL INVENTORY

Ordering products from home-based trading businesses have not utilized data mining algorithms that can help analyze transaction data to optimize product order transactions and also manage inventory on raw materials from products by reducing a lot of leftover raw materials and products that are not purchased by customers. To avoid the occurrence of a lot of raw material leftovers from products that are not in demand and to find out which types of products are in demand by customers, then the apriori algorithm is needed. The purpose of this research is that the owner can carry out good and efficient management of the availability of raw materials from the product so that the raw materials can be processed into products, which must be adjusted to the number of products ordered by customers so that there is no accumulation of raw materials from fewer transactions. The results obtained from this research are if a customer orders product H, then he will order product L with a support value of 42% and 83% confidence, if a customer orders product L then he will order product G with a support value of 67% and a confidence of 90% -100%, and if a customer orders product H, he will order product G with a support value of 42% and 100% confidence. From the rules of this association, it can be concluded that this business owner can determine the management of raw materials by prioritizing the materials used to make products from L, H, and G so that the purchase and use of raw materials for these products are more manageable and efficient.
Web-Based Information Search System Development Using a Semantic Network

Finding information from a large collection of documents is a complicated task; therefore, we need a method called an information retrieval system. Several models that have been used in information retrieval systems include the Vector Space Model (VSM), DICE Similarity, Latent Semantic Indexing (LSI), Generalized Vector Space Model (GVSM), and semantic-based information retrieval systems. The purpose of this study was to develop a semantic network-based search system that will find information based on keywords and the semantic relationship of keywords provided by users. This cannot be done by most search systems that only work based on keyword matching or similarities. The Waterfall development model was used, which divides the development stages into five steps, namely: (1) requirements analysis and definition; (2) system and software design; (3) implementation and unit testing; (4) integration and system testing; and (5) operation and maintenance. The developed system/application was tested by trying to find information based on various combinations of keywords provided by the user. The results showed that the system can find information that matches the keyword, and other relevant information based on the semantic relationships of these keywords.&#x0D; Keywords: information retrieval, search system, semantic network, web-based application
The Students’ Interaction at Palopo Cokroaminoto University

The application of quantitative method in descriptive design to find out the students’ interaction at English Language Education Study Program of palopo cokroaminoto university. The objective of this research is to know the students’ interaction at English Langguage Study Program of Palopo Cokroaminoto University. The population of this research is 173 students and the sample is 32 students to interview. The sample chosen by using of random sampling technique. based on findings and discussion the writer concludes that the use of English in the classroom incteraction is still less. The students also prefer to use Indonesian language to communicate or interact with their friends and lecturer during the learning process. its suport by the students speaking ability especially in their pronunciation and fluency. Most of the students do not pay attention to their pronunciation when they speak and they also do not fluently in speaking so its make them confused how to express their ideas, thought and filt when they speak English.
The development of application for child care services in facilitating distance learning

Child Care (Taman Penitipan Anak/TPA) is a form of nonformal Early Childhood Education (PAUD) services that are continuously growing in line with the needs of today's society.During this Covid-19 pandemic, TPA continues to provide learning services but remotely.Therefore, TPA services need to be extended to reach children's activities at home through distance learning.TPA Melati Dharma Wanita Persatuan is one of the nonformal education.The objectives of this study have developed an application for child care services in Covid-19 pandemic era.This research is used to research and development methods (R & D) with 4-D Models.The results showed that the application for child care services is very feasible.The application for child care services received a very good category (88%) from parents/guardians of students as user regarding convenience, suitability, and usefulness of the application.The service model provided at TPA Melati Dharma Wanita Persatuan UM included care services, educational services, health services, and infrastructure services.The services provided by TPA Melati Dharma Wanita Persatuan UM can be accessed through the application so that students still get care services during the Covid-19 pandemic.
Music Recommendation System Driven by Interaction between User and Personified Agent Using Speech Recognition, Synthesized Voice and Facial Expression

We propose a music recommendation system that is characterized by an interaction between a user and a personified agent.Speech is recognized using a speech recognition system called Julius, and the facial expression of the agent is then synthesized using preset parameters that depend on each vowel.We add a new function that changes the facial expression of the agent according to the response of the user to music recommended by our previously proposed system.The effectiveness of the proposed system is verified.
ICT and Learning Attitude towards Students’ Academic Paragraph Writing in College Level

The use of technology has been growing rapidly in recent years. The technology applies to support the success of language learning, for example, providing web-based learning, mobile-based learning, educational videos, stimulation, online learning platforms, and many more. Learning attitude also determines to achieve the language learning goals. Then, the complexity of English writing causes the students’ denial to take English writing classes. This study aimed at finding out whether there was a significant correlation among ICT writing. Seventy-one students of the English Education Study Program got involved in this correlational study. The data were gained from primary and secondary sources; those are a 15-item ICT use questionnaire, a 20-item learning attitude questionnaire, and documentation of students’ writing. The findings reported that there was a significant correlation among the three variables statistically since the significant value was 0.006 (&lt; 0.05). The value of adjusted r2 was 0.114 which means ICT use and learning attitude contributed 11.4 % to the students’ English academic paragraph writing.Key words: ICT, learning attitude, academic paragraph writing
Computerized Answer Grading

Grading student answers is a tedious and time-consuming task. A study had found that almost on average around 25% of a teacher's time is spent in scoring the answer sheets of students. This time could be utilized in much better ways if computer technology could be used to score answers. This system will aim to grade student answers using the various Natural Language processing techniques and Machine Learning algorithms available today.
PRE-SERVICE STUDENTS’ TRAINING TO TEACH LISTENING IN THE ENGLISH LANGUAGE CLASSROOM

The article describes the way of pre-service students’ training to teach listening in the English language classroom which is done within the framework of new PRESETT Curriculum on Methodology designed in context of “New Generation School Teachers” joint project (2013–2019), initiated by the Ministry of Education and Science, Ukraine and the British Council, Ukraine. The article highlights the content of the unit devoted to teaching listening, its structure, modes of teaching and learning, assessment specifications. The article also specifies the tasks for school experience and the way teacher assistantship is organized. The results of students’ evaluation of the unit on teaching listening are presented in the article.&#x0D; Keywords: PRESETT Curriculum on Methodology, “New Generation School Teachers” project, pre-service teacher training, teaching listening, school experience, modes of teaching and learning, assessment specifications, reflection, unit evaluation form, self-assessment checklist.
Real Time Facial Gesture Recognition using Deep Learning

The human faces have vibrant frequency of characteristics, which makes it difficult to analyze the facial expression. Automated real time emotions recognition with the help of facial expressions is a work in computer vision. This environment is an important and interesting tool between the humans and computers. In this investigation an environment is created which is capable of analyzing the person’s emotions using the real time facial gestures with the help of Deep Neural Network. It can detect the facial expression from any image either real or animated after facial extraction (muscle position, eye expression and lips position). This system is setup to classify images of human faces into seven discrete emotion categories using Convolutional Neural Networks (CNNs). This type of environment is important for social interaction.
EDUCATION MANAGERS’ INNOVATIVE MANAGEMENT STYLES USED AT TEAMS: CORRELATIONS WITH EDUCATIONAL ORGANIZATIONS’ CHARACTERISTICS

Development of management innovative styles focused on labour at educational managers (“fear of poverty”, “authority – subordination”, “a holiday home”, “an organization”, “a team”) is described in the article based on the performed empirical study. Quantitative data on vectors showing educational managers activities revealed managers’ insufficient orientation “on tasks” and a significant predominance of “orientation on people”. Managers characterised by an imbalance between such managers’ activity vectors as “orientation on task” and “orientation on people”. The “organization” style was the most manifested innovative management styles at education managers; while, the “team” style was nearly absent, which meant that managers insufficiently focused on a result during implementation innovative methods. Correlations between educational organizations’ psychological characteristics (“organizational development”, “activity of a pedagogical team”) and education managers’ innovative styles focused on labour were analyzed. The more favourable working conditions were at educational organizations with effective business communication, the more often and better education managers applied innovative management styles. Organizational development contributes to the development of such innovative style as “organization”. The indicators of pedagogical team development (“organization”, “activity”, “cohesion”, “integrity”, “reference”) played a sufficiently important role in development of education managers’ innovative styles. The obtained results can be used in the practice of educational organizations and psychological training for educational managers.
Enhancing Students' Reading Comprehension Through Two Stay Two Stray (TSTS) Technique

Reading is one of the techniques in learning that is often involved in classroom practices, and Two Stay Two Stray is one of the methods introduced in the cooperative learning process. This study aims to find out how the Two Stay Two Stray technique improved students' reading comprehension. This research focused on applied classroom action research. The population of this research was the students of the English Education Department. This research was used to take one class as the research sample, which consists of 32 students. The instrument of this research was a multiple-choice test. There are two cycles in this research. The result shows that students' mean score in cycle 1 was 59,68 and in cycle 2 was 75,31. Based on the results, the Two Stay Two Stray technique was successful. Therefore, it can be inferred that the Two Stay Two Stray technique strengthened the students' reading comprehension. In addition, the students were more interested and inspired to join the class, and they were excited during the teaching-learning process, based on the results of the observation sheet.