Reviewerly/exHarmony huggingface dataset:
Survey, Question, Read, Resite, Review (SQ3R) to Improve Reading Comprehension Skills

Learning Indonesian is a compulsory subject that needs to be taught to students in elementary schools (SD). Because Indonesian has an important role to improve the ability of students to communicate in writing and orally. Reading activities can take a person further and deeper than other language skills. Reading activities require understanding so that the message carried by the text can be absorbed optimally. Reading comprehension ability can be improved through the application of the SQ3R method. The purpose of this study is to describe the concept of SQ3R, reading comprehension, and the application of SQ3R in improving reading comprehension skills. The result of this study is that the application of SQ3R in reading activities can improve students' reading comprehension skills.
Reading and Writing Life of Women in the Goryeo Dynasty

초록·키워드 목차 오류제보하기 The ruling classes of Goryeo believed that reading and writing life were men"s roles. Therefore, the reading and writing life of women in charge of housekeeping did not receive much attention. But the women of the ruling classes learned characters, wrote or read public and private documents, and wrote poetry. They read Confucian scriptures and history, read women"s norms, and read and recite Buddhist scriptures. The women who read were women from the royal family, the noble families, the bureaucratic families, the rural petty official families, and the local ruling class. It was not women from the upper classes within the ruling class who read, but various groups. The reading list had no particular restrictions. The ruling class women freely read Confucian scriptures and history, women"s norms, and ritual books. In particular, unlike the Joseon Dynasty, they read Buddhist scriptures freely. It was also different from the Joseon Dynasty in that women did not hide their ability to write poetry. Even if women read and wrote, they were not central to women"s activities. Reading and learning were related to men"s advancement. Thus, reading and writing life were secondary to women who were not allowed to enter government offices. Women had their own territories in charge of household chores. The writing life and reading of ruling class women began with the education of their parents when they were young, and was used to educate their children after marriage. This was different from the way men were educated at National Academy, private schools, and local public school. Women"s writing life and reading were basically done in relation to household or private life, not public life. During the Goryeo period, men were in charge of reading and success, and women were in charge of housekeeping. But it would be a prejudice to think that women were far from writing life or reading. In this regard, it is necessary to newly understand the historical aspects of women in the ruling class of Goryeo. #독서와 문자 생활 #經史 #불경 #지배층 여성 #살림 #Reading and Writing Life #Confucian Scriptures and History #Buddhist Scriptures #Ruling Class Women #Household Ⅰ. 머리말Ⅱ. 독서와 문자 생활의 양상과 다양성Ⅲ. 독서와 문자 생활의 사회적 성격Ⅳ. 맺음말참고문헌ABSTRACT
Humanitarian component of the proactive education model in the age of global transformations

The article presents and substantiates the humanitarian component of the proactive education model in the context of global transformations given the influence of modern threats and challenges (technological, biogenic, socio-cultural, etc.). In the framework of Russia’s contemporary education policy, the authors present key elements of the humanitarian component of the model under survey (professional competences, ideological values, spiritual-patriotic and humanitarian-ecological components as well as digital competences and soft skills).
352 Making Educational VR video games accessible to all age demographics in the medical field

<h3></h3> Our objectives were: To test how different age demographics of medical professionals interacted with our VR video game. Record what issues (if any) they faced or had while doing so. Analyse what possible solutions could be implemented to make VR video games more accessible to all age demographics in the medical field. Due to the circumstances created by the COVID-19 pandemic, some of our data came from previous surveys and playtests we created for our game. As well as this, we put our game and a new survey for it up on Itch.io. Itch.io is a public website where people can download free/purchasable games. Our survey questioned individuals on various topics such as their gender and age, experience with VR, professional background, thoughts on the game and recommendations for improvement. In the survey, it was made clear to participants that any information given would be anonymous and personal questions would be limited to their gender, age and profession. As well as this, participants were instructed to ensure their VR equipment was set up correctly, to stand in line with their motion sensors, ensure their touch controls were securely fastened and to remain stationary throughout the playtest. It was also stated that if any symptom of VR sickness was felt, such as dizziness, headaches, eye soreness, disorientation, etc, they should immediately remove their VR headset. In the game, participants could engage with: A Playroom, where they could get accustomed with the VR controls. A picture puzzle, where they needed to put the LMA procedure steps in order. A true or false quiz, that tested their academic knowledge on the procedure. An operating room, where they could learn/practice the LMA procedure. 30.8% of participants were female and 69.2% were male. Of these individuals, 53.8% were 20 – 24 years old and 46.2% were 30 – 64 years old. 69.2% of our participants currently work in the medical field. The primary feedback from participants was that: They enjoyed the game The steps for the LMA procedure were accurately conveyed Voiced and written instructions needed to be clearer Movement and controls should have been smoother Educational VR video games can be made sufficiently accessible to all age demographics. This can be accomplished by simplifying the VR controls and having variable options to facilitate individual auditory and literacy abilities.
Ανάπτυξη λεξιλογίου στη δεύτερη γλώσσα μέσω στρατηγικών: Η περίπτωση της μορφολογικής ανάλυσης των λέξεων

This paper elaborates on the on-going discussion on whether development of word awareness and morphological analysis can contribute to vocabulary growth. The pilot study targets adults L2 Italian learners, addressing what strategies they use in order to learn new vocabulary and whether strategies related to the morphological analysis of words are adopted . R esults show that strategies related to vocabulary replication, followed by strategies related to vocabulary learning and retrieval are the favoured ones . S trategies strongly connected with the morphological analysis of words retain their high usage , while University  learners  outperform learners of private schools.
Online Ensemble based Reinforcement learning architecture to detect novel class and recurring classes on emerging data streams

The extensive growth of digital technologies has led to new challenges regarding computational complexity on mining streaming data. The data classification is not trivial due to the high volume of data and limited time available for the classification. It is particularly difficult in dealing with data streams, where each instance of data is typically processed once on its arrival (i.e. online) while the underlying data distribution often changes due to the changing environment. In this paper, we propose a novel online ensemble based reinforcement learning for effective data stream classification in the context of changing environment leading to concept drifts (i.e. evolution of data streams). Proposed reinforcement learning uses three strategies to flexibly adapt to different types of concept drifts when performing data stream classification. Proposed architecture initially extract the a set of random feature combinations to form the pool of features on data streams using feature extraction technique such as kernel principle component analysis and Increment Non – Linear discriminant analysis . Pools of feature are classified using ensemble of Reinforcement learning such as Monte Carlo, Genetic algorithm and Q learning. Reinforcement mechanism is proposed to increase the weights of the base classifiers that perform better on the minority class and decrease the weights of the classifiers that perform worse. A resampling buffer is used for storing the instances of the minority class to balance the imbalanced distribution over time. On those classifiers, base classifier has been constructed weighting boosting technique. Extensive result on performance analysis proves that proposed model outperforms existing state of art approaches against various real datasets. The results demonstrated that the proposed framework can provide the best accuracy and computation time on average when comparing with existing models.
The effects of online teaching methods on English improvement and learner percepion: A comparison of asynchronous and synchronous online classes

This study aims to compare the effects of two different online teaching methods within university English classes during COVID-19: asynchronous video class vs. synchronous real-time class. To do so, 71 participants were divided into two groups; one performed asynchronous (ASYN) class using video lectures prepared and uploaded by the instructor, and the other performed synchronous (SYN) class in which they met with the instructor via Zoom, a video conferencing platform. The improvement of English reading ability was measured and compared with pre-mid-post tests, and learner perception was examined with a 5-point Likert scale questionnaire. The results revealed that the SYN group showed higher test scores than the ASYN group and gradually improved, which were statistically significant. In addition, the SYN group perceived online classes more positively than the ASYN group, and in particular, students in the SYN group gained higher scores of satisfaction and learning attitude. Based on comparisons of two online teaching methods, this study concluded that synchronous online classes using video conferencing platforms were effective as a teaching method that replaced classroom lectures in terms of interaction and a sense of reality. Pedagogical implications are discussed for online distance learning in the post-corona era.
Android Application Sorting Organic And Inorganic Waste Using Smartphone

The rapid development of cellular technology is not balanced with application content that is beneficial to the government for the community. Whereas m-government is one of the potential alternatives to expand communication relations between the government and the community. The number of social organizations that have sprung up lately is very disturbing to the community, this is because not a few social organizations misuse social assistance funds due to lack of supervision from the government. From these problems, the researchers designed an application that can make it easier for social services to control all activities of social organizations that are legal entities in their activities or the transparency of the funds they use or distribute. In this study, the waterfall method is used to design an Android-based social assistance application that makes it easier for social services to monitor the transparency of disbursed funds. This application is also designed to make it easier for the community to distribute social assistance in the form of funds or goods.
Binary neural networks for image super-resolution

Recently, deep convolutional neural networks (DNNs) have achieved state-of-the-art performance on the super-resolution task. However, bigger and deeper networks often lead to high computational cost and high memory usage, preventing massive applications on resource-limited devices. Therefore, reducing the model storage and computation costs will expand the application range of DNNs. Binary neural networks, which could reduce the model size and allow for efficient inference, are energy-efficient for embedded devices. It motivates us to apply the binary methods into super-resolution field, enabling us to meet the requirements of the hardware platforms in practical applications. Therefore, this paper focuses on the binary image super-resolution network. To this end, we first review the current binary neural networks and introduce the technical details and algorithm characteristics of the existing algorithms in detail. Then, we propose to apply the existing binary training methods to the super-resolution task. On this basis, we propose a new binary super-resolution method, which advances network performance by improving the representation ability of the quantized network in the forward propagation and reducing information loss in the backward propagation. Extensive experiments demonstrate that the proposed method not only outperforms existing binary methods but also outperforms the state-of-the-arts binary super-resolution methods.
QUALITY OF THE EDUCATIONAL PROCESS IN POSTGRADUATE STUDY

The innovative activity of the lecturer required an understanding of the content and means in a continuous system of preparation for professional activity at a university that integrates two functions – a lecturer and a researcher. The traditional training of postgraduate students is expressed by the predominance of its scientific component and the result in the form of a thesis. The reform of the Russian educational system made adjustments to postgraduate training as the third level of higher education. The results of research indicate a low quality of postgraduate students’ readiness to organize scientific search in the field of specific science. It is noted that postgraduate students studying in the field of “theory and methodology of professional education” acquire methodological competence by mastering a significant number of psychological and pedagogical disciplines and pedagogical practice during the first year of study, but experience difficulties in organizing scientific research due to unformed methodological competence. The article summarizes the experience of postgraduate training in the logic of the continuous development of professionalism in the system of intramural advanced training.
Rancang Bangun Aplikasi Smart Presensi Menggunakan Location Based Service Berbasis Android (Studi Kasus : Politeknik Caltex Riau)

The process of student attendace at Politeknik Caltex Riau (PCR) still uses manual method. However, this method has several disadvantages, such as the risk of loss or destruction of attendance sheets, a long process of recapitulation time, and the possibility of falsifying attendance data. To overcome this problem the use of smart attendance application using Location Based Service (LBS) technology based on Android can be an alternative medium for students and lecturer. The result is that students can attend only by entering the room according Usability testing found that 56.4% of students and 73.3% of lecturers agreed that the application could reduce the cheating presence filling process. Then, the success rate of application in conducting presence in a room in an open corridor area is up to 60% and in a room in a closed corridor area up to 45%. When inside the room, being near a window is an area with a good degree of accuracy. The success rate is issued by a barrier that can blocking GPS signal or cellular signal. In addition, smartphones with dual-frequency GPS connectivity have the lowest accuracy error rate than smartphones with single-frequency GPS connectivity.
Software Defect Prediction Using ELM and KELM Based Feature Selection Models

Context: Software defect prediction (SDP) models help in delivering a reliable and a value based product to the clients. However, the performance of these models is influenced by the presence of insignificant features in the datasets. This problem is addressed by feature selection methods. Objectives: (1) To determine the performance of feature selection based classification models in the context of software defect prediction, and (2) To determine if the removal of irrelevant features makes a significant difference in the performance of the SDP models.Method: SDP models are built using two classifiers – Extreme learning machine (ELM) and Kernel based extreme learning machine (KELM) based on five wrapper and seven filter based feature selection methods. Experiments are performed using seven publicly available datasets. Testing accuracy is used as a performance comparison parameter for the feature selection based ELM and KELM defect classification models. Results: (1) On comparing the performance of feature based SDP models, ELM based classifiers achieved a higher testing accuracy with wrapper based feature selection methods while KELM classifiers performed better with filter based methods. (2) In view of the second objective of this study, it is found that even after eliminating over 85 percent of the attributes from the original software project data, the prediction performance of the models is comparable before and after removing the irrelevant features in most of the cases and it improved in very few experiments. Conclusion: With respect to the feature selection based defect classifiers, the performance of ELM and KELM based models is better with wrapper and filter based methods, respectively. Overall, a dimensionally reduced space does not significantly affect the prediction performance of the SDP classifiers. In a way, it is indicated that the feature subsets obtained after removing the irrelevant software metrics provide more significance to the output class.
The role of the ecological culture of the teacher for the sustainable development of the state

The concept of sustainable development (SD) was born, developed and is actively evolving in many national and international strategies, official reports, modern scientific research in various directions. The context of sustainable development is present in the official and scientific chronicle of the development of society, summarized in documents and studies. However, in pedagogical works, this tendency is not covered in such detail. The idea of SD is aimed at systematic, multidimensional development, at the well-being of countries, peoples, an individual, at eliminating inequalities: demographic, social and political stability and neutralizing factors dangerous for the development of nature. The basic element of SD in the 21st century is higher education, which was declared at the Paris World Conference on Higher Education in 2009. The evolution of education in a society of sustainable development contributes to a change in the ecological culture of an individual and groups of people based on a value attitude towards nature, safety, health, well-being, unity and cultural diversity. The article is based on the idea of the leading importance of the formed ecological culture of the teacher for the sustainable development of the state. The developed foundations for the formation of environmental culture in the context of sustainable development of university students imply the definition of its goals and conditions, clarification of the structure and relationships between the components, patterns and principles, methods and forms of organization of training, criteria and indicators for assessing the development of components of environmental culture.
Optimizasyonun Optimizasyonu Yaklaşımıyla Dağılım Fonksiyonu Tabanlı Kral Kelebeği Optimizasyon Algoritmasının Performansının Artırılması

In this study, the parameters of the distribution functions were adjusted with the optimization to optimization approach to improve the performance of the distribution function-based monarch butterfly optimization algorithm (MBO).For this, the random number generation processes, which greatly affect the flow of stochastic algorithms, were examined and the effect of distribution functions on these processes was determined.Then, the importance of parameter selection in the operation of distribution functions has been determined.It has been seen that the distribution function will be more effective with appropriate parameter selections.At this point, the distribution functions that can be used in the random number generation in the main target algorithm were tried to be determined with appropriate parameters with an upper auxiliary optimization algorithm.In conclusion; with the approach of optimization to optimization, the performance of the target algorithm has been tried to be increased and concrete results are presented in comparison with the tests made on the most used benchmark functions in the literature.
Economic Growth, Poverty And Inequality: A Challenge For Africa

Many African countries have remained struggling with excessive levels of poverty and income inequality. If the average 2015 level of poverty in other regions was around 13%, the proportion of poor in the Sub-Saharan Africa region was up to 41%. The trend of the share of the poor is steadily decreasing, although absolute poverty figures have increased substantially. Economic growth has specific instruments for reducing poverty but has not proven effective in most countries of the region. The demographic burden and income inequality are the main problem for growth elasticity of poverty. The purpose of the article is to point out the problem of income inequality as an obstacle to the elimination of poverty through economic growth. Given the substantial role of income inequality and its long-standing presence in the region, it can be stated that absolute poverty growth will be a problem in the near future. In the article we use the method of analysis, comparison and description.
Usefulness verification of the mock TOEIC test using test scores.

This study seeks to analyze the construct validity of the mock TOEIC test by utilizing corpus analysis indicators. A commercial corpus program extracted key indicators related to vocabulary and syntax on a mock TOEIC test. A correlation analysis examined the relationship between these indicators and test results. It was possible to observe the causal relationship between corpus indices and variations in test scores when the test was taken two times. The regression analysis showed that the usefulness of the mock TOEIC test was lowered if the coefficient values of the corpus factors that had a significant effect on the change in grades in the first and second tests did not show a constant pattern in one direction (positive or negative). The results demonstrate that each indicator is complex and their influence on test grades varies depending on test types. Overall, most corpus indices used in this study showed poor predictive power of changes in test scores, and it was revealed that the mock TOEIC test is an evaluation tool lacking in authenticity. This paper contributes to the academic literature by demonstrating the possibility of using a corpus index as a usefulness verification tool. Usefulness verification can be established by examining the causal relationship between the repeated actual scores of the mock TOEIC test and the corpus index.