Reviewerly/exHarmony huggingface dataset:
HISTORY OF METHODOLOGICAL DEVELOPMENT OF PASTEL TECHNIQUES IN DRAWING AND PAINTING

The process of reforming and modernizing higher education involves raising the level of professionalism of future professionals and in particular artists-teachers. The motivation of this article is the need to create methodological and pedagogical conditions for the formation of the foundations of artistic skills of students in the process of professional training. The methodical development of pastel technique on the basis of research of historical and pedagogical literature is considered in the article. An analysis of the work of artists of primary schools of pastels in many countries around the world, who used the technique of pastels in their works. Its semantic part and significance in the system of educational process in art-pedagogical establishments of higher education are covered. Pastel technique, its methods and techniques are quite complex, so they need to develop a separate training course to master it. The acquisition of future artists-teachers of professional skills and knowledge in the learning process directly depends on their mastery of various art techniques. The formation of professional artistic skills in the use of soft materials is possible only with the integrated application of methods and techniques and the creation of pedagogical conditions for creative activity. The pastel technique is unique and thanks to its technical capabilities it is possible to solve creative tasks of any level of complexity. It is convincingly proved that there is an urgent need to include work with soft materials in the educational program of training of the future artist-teacher. And training of students of art techniques and their combination in drawing and painting gives a push for development of creative imagination and imagination. Analysis of the historical experience of the development of the technique of pastels in drawing and painting highlights the importance of teaching students this technique in classes in major art disciplines. It can be argued that the pastel technique is an important part of the educational process in institutions of higher art education. The importance of her education lies not only in the diversification of students' technical experience, but also in the holistic formation of their artistic and creative skills. The problem of creating a sound system of teaching pastel techniques for students of higher education institutions requires further in-depth study.
Visual Question Answering using Convolutional Neural Networks

The ability of a computer system to be able to understand surroundings and elements and to think like a human being to process the information has always been the major point of focus in the field of Computer Science. One of the ways to achieve this artificial intelligence is Visual Question Answering. Visual Question Answering (VQA) is a trained system which can answer the questions associated to a given image in Natural Language. VQA is a generalized system which can be used in any image-based scenario with adequate training on the relevant data. This is achieved with the help of Neural Networks, particularly Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). In this study, we have compared different approaches of VQA, out of which we are exploring CNN based model. With the continued progress in the field of Computer Vision and Question answering system, Visual Question Answering is becoming the essential system which can handle multiple scenarios with their respective data.
An Empirical Analysis on Various Techniques Used to Detect the Polarity of Customer Satisfaction in Sentiment Analysis

Sentiment analysis is an emerging application of NLP (Natural Language Processing). This is also called opinion mining or attitude detection. In the text mining field, Sentiment Analysis is continuous area of research. It is a procedural treatment of attitude, feelings and textual content. The fundamental thought is to discover text polarity and order it as positive, negative, or neutral. It supports human to take a good judgment. This survey paper gives an extensive summary of the previous updates in this area. Several currently proposed algorithms and numerous upgrades to different SA applications have been investigated and summed up in this review. These articles are classified by their commitment to different SA techniques. Areas identified with SA (business monitoring, polarity observation, social media monitoring) that has recently attracted researchers is discussed. The fundamental objective of this survey is to provide a complete picture of SA practices and associated fields with brief explanation. The significant role of this study includes a refined classification of current papers and a depiction of ongoing patterns in sentiment analysis and research in its associated fields.
Towards Adopting Software Quality Assurance in Agile Development Methodology

In agile software development methodology, software product is developed through a few iterations and delivered incrementally. In spite of the known benefits of the agile methodology, yet issue still exists in developing high-quality software product using this methodology. Hence, quality assurance mechanism should be in place in agile development to ensure quality adherence to the software product. However, taking up quality assurance in agile software development is not an easy task as it has its own manifesto and principles that need to be met. Thus, this paper highlights the issues and challenges towards adopting quality assurance in agile development methodology. Particularly, in aniteration where we need to assure that the product increment meets the requirements as well as to decide the requirements for next increment and iteration planning. Subsequently, few measuresare identifiedconcerning the issues. The discussion in this paper is based on Scrum case, yet still relevant to other types of agile methodologies.
Fuzzy Logic Based Environment Control of Operation Theatre

It is very critical and important to maintain the appropriate climatic conditions in the operation theatre. In paper, we present an approach to control total environmental conditions for the operation theatre. Generally for environmental control of operation theatre air conditioning system is installed. In operation theatre environmental parameters like humidity, temperature, oxygen and particles etc. have to be controlled precisely. All the environmental parameters are of nonlinear nature hence, difficult to control or model with the help of conventional control systems. Keeping in mind the complexity and nonlinearity of these parameters as fuzzy logic controller (FLC) for controlling all the environment of operation theatre has been designed. For this fuzzy logic control system temperature, micro particles, humidity &amp; oxygen have been taken as input parameters and based on these parameters speed of AC motor as well as the speed of exhaust motor are controlled. The control system is implemented with the help of different fuzzy rules and their membership functions derived from actual conditions. The performance of the system for control of operation theatre was studied and it has been observed that the result obtained with the fuzzy logic control system provides more effective and economical control. The fuzzy logic control system has been implemented using fuzzy Tech development tool.
Literacy Skills as an Effort to Maintain Quality Culture in Muhammadiyah Elementary Schools in Malang City During the Covid-19 Pandemic

This research has been conducted based on the declining condition of literacy in Indonesia since 2017. Since quality culture is crucial during this time, a research on literacy skills in elementary schools needs to be done. This is a qualitative descriptive research. It aims to analyze the literacy skills in maintaining the quality culture in Muhammadiyah elementary schools in Malang City during the Covid-19 pandemic. Moreover, the instruments used in this research are interviews and documentation. The research subjects comprise teachers, headmasters, and students of Muhammadiyah elementary schools in Malang City. The results show that during the pandemic, the subjects have applied digital and informational literacy skills in the learning process through several platforms. Moreover, using these skills, the teachers have co-written a compilation of best practic-es registered on ISBN. Supporting factors in literacy skills as a quality culture in Muhammadiyah elementary schools include the intensity to access more information, optimization of teacher skills through various workshops and peer tutors, and improvement of existing infrastructure in schools. While the hindering factor is the understanding of educators and education on the school literacy movement is school literacy.
H.I.D.R.A.: A Hierarchical, Interactive and Dynamic Recognition Architecture for Product Categorization

The Hierarchical, Interactive and Dynamic Recognition Architecture (H.I.D.R.A.) for Product Categorization is a new intelligent system architecture developed by Elo7 to easily evolve its category tree and automatically classify millions of products, thus improving the page ranking of our marketplace.
STRATEGIES IN IMPROVING READING SKILLS OF UNIVERSITY ENGLISH LEARNERS

Studies on language learning strategies (LLS) have been conducted elsewhere in the world, however, there were very limited studies on student learning strategies in improving reading skills. Therefore, this study is aimed to identify the strategies used in improving reading skills. This case study was conducted by distributing questionaire involving 200 English Education and English Literature students as the sample of this study. The finding of this study demonstrated that the respondent use the LLS, such as memory, metacognitve, compensation, cognitive, affective, and social in improving reading skill. However, most of respondents reported to use metacognitive strategy at the most. The results also indicated that there are five most and five least strategies used by the respondents. This research is very useful as a reference in the framework of developing strategies for reading in tertiary institutions.
Blockchain 3.0: Internet of Value - Human Technology for the Realization of a Society Where the Existence of Exceptional Value is Allowed

With the rapid technological evolution of the blockchain, the evaluation and definition of the blockchain differed over time, resulting in the current “confusing” situation. In this paper, the elements are extracted related to the system form and technology of the blockchain shown in the existing use cases and research from 2009 to 2020, and classified the blockchain system from the viewpoint of the problems that the system can realize. In addition, the need for extracted elements in typical system application scenes was considered. When using blockchain in the process of identifying the value of others (other people) as a “value network infrastructure”, three main approaches are defined.
THE EFFECTIVENESS OF TEACHING READING BY USING JUMBLED PICS STORIES

The aim of the research was to find out if there was any significant improvement on student’s reading after being taught through Jumbled Pics Stories at 9th grade of students at SMP Al-Fitroh Tangerang. The method used in this research was the quantitative method of pre-experimental design by implementing pre-test and post-test design. In this study, the researcher used 15 students as a sample. The data were corrected by pre-test and post-test as instruments. The result of the study was calculated using t-test. The findings showed that student’s post-test scores mean (64.33) were higher than pre-test scores mean (71.86). By using t-test, the result of t-table with degrees of freedom (df) 14 reached 7.92. The finding revealed that Jumbled Pics Stories is effective media to improve student’s reading.
CAPACITY OF ADHYAKSA RESERVOIR IN NORTH JAKARTA

Adhyaksa reservoir is located within the Adhyaksa Public Hospital on Mabes Hankam street number 60, Ceger, Cipayung district, in the area of East Jakarta, which is one of the areas prone to flooding. Adhyaksa reservoir has a pump house available that is used to pump the excess water in the reservoir but there are still puddles in several places around the residential area. The problems occurs due to sedimentation in the canal, inadequate size of the canal, and narrowing of the canal. These causes the canal that is supposed to drain water into a reservoir to not work optimally. By conducting canal analysis using Log Pearson III method, using data obtained from 3 Rainfall Station namely, Bekasi Rainfall Station, Halim Rainfall Station, and Bogor Rainfall Station, it was found that the rainfall intensity that occured in the last 10 years cycle is 162,29 mm. Then, the Mononobe equation was used to find the intensity of rain per hour that occours. The planned rain discharge was then found using a rational method. From these calculations, it was discovered that there are 9 canals namely (5, 11, 12, 13, 17, 18, 19, 20 and 23) that are unable to accommodate the rainfall that occurs.
Using the Onion Model to Scaffold the Case Analysis Genre in Information Systems

The International Exchanges on the Study of Writing Series publishes books that address worldwide perspectives on writing, writers, teaching with writing, and scholarly writing practices, specifically those that draw on scholarship across national and disciplinary borders to challenge parochial understand-
On the Computational Modelling of Michif Verbal Morphology

This paper presents a finite-state computational model of the verbal morphology of Michif.Michif, the official language of the Métis peoples, is a uniquely mixed language with Algonquian and French origins.It is spoken across the Métis homelands in what is now called Canada and the United States, but it is highly endangered with less than 100 speakers.The verbal morphology is remarkably complex, as the already polysynthetic Algonquian patterns are combined with French elements and unique morpho-phonological interactions.The model presented in this paper, LI VERB KAA-OOSHITAHK DI MICHIF handles this complexity by using a series of composed finite-state transducers to model the concatenative morphology and phonological rule alternations that are unique to Michif.Such a rulebased approach is necessary as there is insufficient language data for an approach that uses machine learning.A language model such as LI VERB KAA-OOSHITAHK DI MICHIF furthers the goals of Indigenous computational linguistics in Canada while also supporting the creation of tools for documentation, education, and revitalization that are desired by the Métis community.
The similarity about the probability distributions of variables in the Bayesian regression model and application

The linear regression model as well as the time series model is applied in many fields, in which the mean of the dependent variable is one function of the mean of the independent variables. However, to consider the regression model following in the Classical Statistics (the Frequent Statistics), it means that the parameters are the constants, in many situations, the regression model does not describe the fluctuation of both the dependent variable and the independent variables. Therefore, we need to modify the parameters following the random variable form, not the constant form, like as the regression in Bayesian Statistics. The other side, when the parameters considered as the random variables, computations in the regression model becomes very complex, because we need to compute the product of the probability distributions. So, we must evaluate about to vary of the variables' probability distributions not only the normal distribution, the Student distribution t, the Poisson distribution, the binomial distribution… In this paper, we estimated the dependent variable's probability distribution form through the simple Bayesian regression model in cases having many the probability distribution forms of the independent variable. In addition, we apply the results to real stock price data, proving that the most appropriate probability distribution with the data is a mixture of probability distributions, not a single normal distribution.
Privacy Protection in Bigdata: A Survey

Bigdata becomes a significant sector and academics research topic. Bigdata is a two-edged sword. The rising volume of information together will increase the likelihood of blundering non-public data privacy. Due to many new technologies and innovations that pervade our everyday lives, like smartphones and social networking apps, and the Internet of Things-based intelligent-world systems, the large amount of data generated in our world has exploded. During this data processing, storage, and the use of the information it can quickly cause personal information exposure and the difficulty of interpreting the information. The aim is to incorporate this range of information into one framework for big data management and to recognize problems regarding privacy. This paper begins with the introduction of bigdata, its process, protection issues, and tools which are used to solve its problems
THE EFFECT OF WORD FIND PUZZLE ON THE STUDENTS’ VOCABULARY MASTERY

&lt;p&gt;The research was intended to know the effectiveness of Word Find&lt;br /&gt;Puzzle in the students’ vocabulary mastery which was observed and&lt;br /&gt;analyzed from students of tenth grade at SMA Baitul Aziz Bandar&lt;br /&gt;Klippa. The method used was quatitative research by using the&lt;br /&gt;experimental research design. The population of this study was&lt;br /&gt;tenth grade students of SMA Baitul Aziz Bandar Klippa. In taking&lt;br /&gt;the sample of this research, the researchers took some students in&lt;br /&gt;each classes as the sample used and divided into 2 classes,&lt;br /&gt;experimental and control. There were 34 students in the&lt;br /&gt;experimental and 26 students in control. The researchers taught by&lt;br /&gt;using the Word Find Puzzle in the experimental class and taught by&lt;br /&gt;using lecturing method in control class.The researchers used pretest,&lt;/p&gt;&lt;p&gt;treatment, and post-test. In control class the score increase&lt;br /&gt;59,23 between pre-test and post-test, but in experimental class the&lt;br /&gt;score increase about 68,85. By calculated by used SPSS V24, The&lt;br /&gt;researcherss concluded that there was a significant effect of the&lt;br /&gt;application of the Word Find Puzzle learning approach on learning&lt;br /&gt;outcomes, it can be seen from the results of the analysis that this is&lt;br /&gt;indicated by the results of hypothesis testing which indicate that the&lt;br /&gt;Sig. (2 - tailed) &amp;lt;0.05 (0.000 &amp;lt;0.05) and the value of t_ (count)&amp;gt; t&lt;br /&gt;table (6.365&amp;gt; 1.992). Then in post test the researchers found that&lt;br /&gt;the value of Sig. (2tailed) is 0,923. It is bigger than 0,05&lt;br /&gt;(0,923&amp;gt;0,05) Sig. in T-Test (2tailed) is 0,002. It was less than 0,05&lt;br /&gt;(0,002&amp;gt;0,05), so there was a significant different between the&lt;br /&gt;experiment class and control class. In other words, the students’&lt;br /&gt;achievement in vocabulary mastery is more effective by using Word&lt;br /&gt;Find Puzzle than lecturing method.&lt;/p&gt;
FrameForm: An Open-source Annotation Interface for FrameNet

In this paper, we introduce FrameForm 1 , an open-source annotation tool designed to accommodate predicate annotations based on Frame Semantics (Fillmore et al., 1976).FrameForm is a user-friendly tool for creating, annotating and maintaining computational lexicography projects like FrameNet and has been used while building the Turkish FrameNet (Mars ¸an et al., 2021).Responsive and opensource, FrameForm can be easily modified to answer the annotation needs of a wide range of different languages.
Application of Feature Extraction Algorithm in the Construction of Interactive English Chinese Translation Mode

In the process of English translation, traditional interactive English translation system is not obvious in English semantic context. The optimal feature selection process does not achieve the optimal translation solution, and the translation accuracy is low. Based on this, this paper designs an interactive English Chinese translation system based on a feature extraction algorithm. By introducing the feature extraction algorithm, the optimal translation solution is selected, and the semantic mapping model is constructed to translate the best translation into English Chinese translation. The real experiment results show that the interactive English Chinese translation system based on feature extraction algorithm can get the best solution.
Multiclass Software Bug Severity Classification using Decision Tree, Naive Bayes and Bagging

The software applications are experiencing the challenges of ever-growing complexity caused by the increase in the number of bugs. The software development process has been adversely affected due to the wastage of resources caused due to the bugs. It is imperative to identify and predict bugs to facilitate the software development process. Software bugs can be classified according to the severity of the bugs. In this paper a comparative analysis of Decision Tree, Naïve Bayes and Bagging approach is done for the bug severity classification. A comparative analysis of the Naïve Bayes, Decision Tree and Bagging approach is done for the accuracy, precision, recall and F-measure parameters
The Usability of Romanian Open Data in the Development of Tourist Applications

The centralization of public data and the adoption of the open data concept are directions on which governors have begun to turn their attention more and more. Unfortunately, although the efforts in this direction are increasing, the Romanian public authorities offer access mainly to semi-structured or unstructured data, which only makes their use more difficult. Only for data on museums and collections in Romania, two web portals are available, a data set in CSV format and a series of other data sets structured according to the LIDO XML Schema. In order to use these data sets, we had to consolidate them using both specific techniques for browsing and pre-processing them, and using the eCHO framework, through which the digital representation of classified cultural assets was migrated to Linked Data. Finally, the data resulting from the consolidation process was used to develop a web application through which users can more easily view this information and, based on it, create their own tourist routes directly from the application.
EFL Islamic Elementary Students’ Anxiety in Learning English

This study investigates elementary school students’ anxiety over learning English, the influential factors of their anxiety, and the teacher’s strategies to reduce their anxiety. Anchored in a mixed research method, 75 fifth grade students at SDIT Robbi Rodhiyah in Curup, Bengkulu, Indonesia were involved as the sample for quantitative investigations into their learning anxiety levels and the influential factors of their anxiety. In addition, one English teacher was recruited as the qualitative subject to be interviewed on the teacher’s strategies to reduce students’ anxiety. The quantitative investigations deployed the FLCAS questionnaire developed by Horwitz, and the qualitative investigation conducted interviews with the English teacher. Descriptive statistics were employed to analyze questionnaire data, and an interactive model was undertaken to analyze interview data. The results revealed that the students were at a high level of English learning anxiety. Their anxiety stemmed from some factors such as anxiety over tests, fear of negative evaluation, and communication apprehension. In efforts to help students cope with and reduce their English learning anxiety, the teacher applied some strategies such as relaxation, music and laughter, self-encouragement, and additional considerations resting upon students’ to help them reduce their anxiety.