Reviewerly/exHarmony huggingface dataset:
On the Basic Categories of Facilitative Pedagogy

A key characteristic of a learner-centered educational process is its realization as a subject-to-subject interaction between participants. At present, a view that the goal of the pedagogical process is to create conditions for the development of a creative and moral personality, independent in cognitive and practical activities, free to choose a professional, social, family career can be considered customary. A rounded actualized personality is, first of all, the subject of human relations and conscious self-work. That is, this is a person who has a conscious and stable system of relations to themselves and the world, who is able to realize the motives of their activities, set a goal, and independently regulate their own actions to achieve it. A teacher positions oneself as a facilitator in this interaction, and a firm promotion of the student’s ability to be the subject of one’s own relationships, behavior, becomes the main principle of professional work of both each teacher taken separately and the teaching staff as a whole.
ESTABLISHING PERFORMANCE INDICATORS FOR ACADEMIC ENGLISH PROFICIENCY: A CASE FOR EFL UNIVERSITY STUDENTS

In Thailand, the B1 level of the CEFR was specified as the goal of English proficiency for high school or vocational certificate graduates. Therefore, for university levels, students’ English ability equal to the B1 level or above is expected. English proficiency tests are needed to fulfill this assessment purpose. Moreover, one of the considering points is that the test results are generally reported quantitatively without meaningful interpretations. This study attempts to investigate the Target Language Use (TLU) domain of academic English proficiency for EFL university students so that performance indicators can be established. The quality of this developed test was evaluated and the concurrent validity was examined to demonstrate how well the developed test correlated with a well-established test. The sample of the study included 39 informants that provided information about the TLU domain and 30 test takers for the main study. The instruments consisted of a questionnaire asking about the TLU domain and the developed academic English proficiency test. The arithmetic mean and Standard Deviation (S.D.) were employed for the analysis of the TLU domain. Construct validity, reliability, and item analysis were analyzed for test quality. Finally, Pearson’s product-moment was implemented in order to examine concurrent validity. Besides, regression analysis was used to demonstrate if the obtained scores could predict the scores from the standardized test. The findings are significant in several ways. First, these findings are able to provide a clearer concept of the performance indicators of academic English proficiency. The developed test can be a useful instrument for several purposes, for example for placement or achievement. Finally, the assessment of concurrent validity can be useful in terms of test score interpretations.
A Survey On Automated Methods Used For WBC Classification

The conventional process of the well-known Complete Blood Count test or abbreviated as CBC test has provided pathologists and hematologists with information for diagnosing blood related diseases. This manual method has proved to be tedious, bias and inaccurate. Thus, automated methods for blood cell detection and counting have been sought out to improve the accuracy for better diagnosis. These automated methods lead to early detection of blood related diseases such as anemia, leukemia, lymphoma and other infections in the immune system. To find an alternative to the manual methods, this paper provides a comparative table of 12 papers which were thoroughly surveyed to draw conclusions from their automated methodologies used and final outcomes. This paper can be useful in the future for knowing which methods gave the best and highest accuracies and further advancements can be done based on the inferences made from the literature survey done in this paper. It's just a bird's overview of the diagnosis of blood cells and their applications in the medical field.
Peningkatan Keterampilan Menulis Kreatif Puisi Bebas Melalui Media Batu bagi Siswa SMPN 15 Mataram

The purpose of this study was to improve the creative writing skills of free poetry through stone media by applying the Jigsaw cooperative learning model. This research method is a classroom action research consisting of two cycles with the research subject, namely students of class VIII A SMPN 15 Mataram. The research instrument used observation and tests. The research data were analyzed using descriptive qualitative and quantitative techniques. The results showed that the use of stone media could improve the creative writing skills of free poetry. The improvement of the quality of the learning process in cycle I showed an average value of 67.5 and 80.5 in cycle II. The average student assessment results were 4.2 with 85% activeness of the total students.
Optimization of Sapta Pesona (Seven Enchantments) with Waste Management on Tourist Village Development: Case of Cimande Tourist Village

Through the community-based tourist approach, coaching of the Sapta Pesona program is one way to provide knowledge to the community that area they live in is a tourist area. Tourists will visit if the area is safe,orderly, clean, cool, beautiful, friendly and memories. The purpose of this research is to know community public awareness of cleanliness, determine the distribution and volume of waste, the waste management evaluation system that has been carried out, and environmental management at Cimande Tourist Village. The Method of research used is qualitative and quantitative methods in order to obtain more comprehensive, valid, reliable, and objective data. The sample consists of 35 participants of coaching from community of Cimande Village. The factor and regression analysis were used for the data analysis. The results of the study showed that coaching significantly contributed to the community interest in waste management (t = 2.512&gt; t table with a significance of 0.017 (? &lt;0.05). The distribution of the generated waste accumulates in almost every RT (neighborhood) and there are 20 illegal landfill garbage dumps. The author makes a suggestion, Urban Village Head with Pokdarwis, Village Cadres and Youth Organization had to have a program to invite all Cimande community to do environmental cleanliness by mutual cooperation on regularly in order to optimize cleanliness with waste management to achieve Cimande Clean, reach out to people from door to door, making them realize the importance of cleanliness and segregation of waste.&#x0D; Keywords: Sapta Pesona, Seven Enchantments, Waste Management, Tourist Village, Cimande
SYNTACTICAL REPETITION ON SELECTED POEMS OF MAYA ANGELOU

The aim of this research is to find out the syntactical repetition on selected poems by Maya Angelou namely Still I Rise, Caged Birds, Alone and Woman Work. The technique of collecting the data was to download the selected poems. The data were analyzed and found four repetition that he said . The repetition is Anaphora, Epiphora, Framing, and Anadiplosis. Our research found that the repetition used to stress the author’s goals on her poem. It can be make people remember her intention in her poem. Keywords: Stylistic, repetition, poem
“SELFIE” IN WEB DICTIONARIES

The study includes Uludağ Dictionary, and ITU Dictionary, known as Web dictionaries.In the mentioned dictionaries, comments and attachments about the selfie lexicon unit (item/unit in the dictionary) or the word in everyday terms were examined in detail.Consequently, that the selfie lexicon/word was negatively evaluated.The review included in the study covers comments made in two dictionaries up to June 6, 2014.In the Uludağ dictionary and ITU dictionary search section of the article; the word ''selfie'' was entered .As a result, there were 281 comments were found about 'selfie' in the ITU dictionary.In the Uludağ dictionary, 205 comments were made about 'selfie'.The study revealed a difference in the interpretation of the selfie lexicon.Here, we aim to understand the text that contains the descriptions written in dictionaries.The comments in the Uludağ dictionary were examined detail.In Istanbul technical University dictionary, only the direction of the comments was revealed.The word, which is defined as an individual selection and realization, is in a sense the production of another word.In the dictionary of linguistics terms, the definition of the dictionary is as follows."Dictionary: It is a work that presents all or part of lexical units in a language with definitions, pronouncements, origins, uses, grammatical synonyms or their counterparts in another language, usually according to the order, and in some cases by subject or conceptual areas.Comments included in Web dictionaries were classified according to topics or conceptual areas in the context of this definition.The second classification of interpretations was made in the context of a predictor of status, descriptive, the explanatory relations between explanatory facts, a generalizing hypothesis tester.In the third classification of comments, emotion analysis was performed.
Parametric versus nonparametric: The fitness coefficient

Abstract Olkin and Spiegelman introduced a semiparametric estimator of the density defined as a mixture between the maximum likelihood estimator and the kernel density estimator. Due to the absence of any leave‐one‐out strategy and the hardness of estimating the Kullback–Leibler loss of kernel density estimate, their approach produces unsatisfactory results. This article investigates an alternative approach in which only the kernel density estimate is modified. From a theoretical perspective, the estimated mixture parameter is shown to converge in probability to one if the parametric model is true and to zero otherwise. From a practical perspective, the utility of the approach is illustrated on real and simulated data sets.
Information and Communication Technologies in Modern Education: Basic Concepts

The authors outline that the main trend in modern education, both in Russia and in the world as a whole, is the digitalization and informatization of the educational process. This leads to disagreements in understanding the potential of this phenomenon, as the main factor, affecting the comprehensive and systematic development and self-development of a modern student’s personality. In turn, this is due to the diverse interpretations of the terms, included in this area of the knowledge, by other sciences without taking into account the specifics of the educational process, which prompted the authors to undertake the study. The purpose of the article is to review the basic concepts, related to the informatization of modern education in Russia, as well as to describe the trends in the use of information and communication technologies in the educational process, their role in the formation of the information and educational environment of an educational institution. Methods. The main research method is the analysis of literary sources and regulations, related to the field of information technologies application in education, on the basis of which the authors consider and generalize different concepts. Results. Based on the results of the study, conclusions are drawn about the importance of information and communication technologies and the information and educational environment as the main factors in the modernization of the educational process. However, the importance of combining the traditional teaching methods with methods, based on the use of innovative technologies without a fundamental change in the educational paradigm was emphasized.
Automated Generation of Simulation Models Using Automated, Reactive Pruning of System Entity Structures

System Entity Structures (SES) are used to define families of systems. In this context they are employed in combination with a model base (MB) to describe a set of simulation models. Using a framework, simulation models are generated from the SES/MB in a goal-oriented manner, executed and their results analyzed. The entire process is automated, iterative and reactive. A concrete system variant in the family of systems is derived by pruning an SES. For the process of automated model generation, it is necessary to provide automatic pruning mechanisms. Especially for some types of nodes comprised in an SES, automatic pruning is a big challenge. Here, the challenges that arise when pruning SES containing hierarchies of multi-aspect and specialization nodes are analyzed and a solution is proposed.
PENGEMBANGAN MEDIA ICE BREAKING BERBASIS 4C PADA PEMBELAJARAN TEMATIK INTEGRATIF PESERTA DIDIK KELAS V MIS NURUL HUDA KUPANG

This research including development research (Research and Development) aims to Communication, Collaborative, Critical Thinking, and Creativity (4C)-based Ice Breaking Learning Media Developed on Integrative Thematic Learning. The subjects in this study were students and fifth grade teachers of MIS Nurul Huda, Kupang. The development model used in this study is the Four D development model which consists of 4 stages: (1) define, (2) design, (3) develop, and (4) disseminate. This 4C-based Ice Breaking learning media developed media has carried out a trial process consisting of one-on-one trials of 10 people, small group trials of 12 people and class trials of 34 students. The 4C-based Ice Breaking learning media developed have been validated by the Validator and has undergone revisions so that it gets very feasible and practical results to be used in learning because based on the research results of the Guidelines for Making 4C Ice Breaking Media and 4C Ice Breaking LKPD, and all the media in the latest book, including: puzzles, flipcharts, leaflets, sketches, and learning videos meet very valid criteria so they are very feasible and very practical to be used in the learning process.
The Roles and Challenges of Cloud Computing to Accounting System of Vietnamese Enterprises in the Fourth Industrial Revolution

In the context of the 4.0 revolution, technology applications, especially cloud computing will have strong impacts on all areas, including accounting systems of enterprises. Cloud computing contributes to helping the enterprise accounting apparatus become compact, help automate the input process, improve the accuracy of the input data. Besides, the issur of accounting, reporting, risk control and information security also became better, contributing to improving the effectiveness of accounting. However, besides the positive impacts, businesses also face many difficulties in deploying and applying cloud computing. However, this application requirement will become an inevitable trend contributing to improving the operational efficiency of enterprises. To promote this process requires from the State as well as businesses themselves must have awareness and appropriate decisions. Breakthroughs in information technology have dramatically changed the accounting industry and the creation of financial statements. The Internet and the technologies that use the power of the Internet are playing an important role in the management and accounting activities of businesses - who always tend to be ready to receive and use public innovations technology in collecting, storing, processing and reporting information.
OPTIMISING ASSESSMENT SYSTEM IN THE ESP COURSE THROUGH THE USE of THE METHODS OF DIFFERENTIAL ITEM FUNCTIONING AND DIFFERENTIAL TEST FUNCTIONING IN FINAL TEST DESIGN

The purpose of the research was to examine how the use of the methods of Differential item functioning and Differential test functioning contribute to the quality of the final assessment (FT-ESP) in the English for Specific Purposes course delivered to the graduate students at tertiary institutions. The study relies on two interventions intended to identify the correlation between the test design and the academic performance of the students in the ESP course through using Pearson’s correlation coefficient of the answered versus the unanswered questions. The first intervention test was similarly structured as the one for the second intervention and consisted of the same number of items. In the first intervention, a regular final ESP test was administered. In the second intervention, the originally designed test, which validity and reliability was analyzed using the methods of DIF and DTF, was performed. The test included three sub-domains such as: reading comprehension (15 items), structure (15 items), and compositional analysis (15 items). It has been found that the use of the methods of DIF and DTF boosts the quality of the assessment system in the ESP course delivered to the graduate students at tertiary institutions. It is advisable that the first step in DIF analyses be related to the use of statistical methods to detect the DIF items. It is also advisable to examine the effects of other potential factors on DIF such as item order and mother tongue effects along with unintended content specific factors to explain DIF effect in the context of language testing. The findings also imply that neither of methods addresses the issue of measurement bias, which might occur in tests, because it is complicated and cannot be addressed adequately using simple statistical or classical test theory methods. Further studies are needed to identify the ways of improving the assessment of speaking skills of the graduates of the tertiary institutions.
Features of the development of the cognitive sphere of students, taking into account age and psychological characteristics

The article considers the features of the development of cognitive interest of students from the first grade to graduation, depending on the type of temperament of students, as well as the change in motivation to study certain disciplines with the age of the child.
Fast Visual Tracking Using Spatial Temporal Background Context Learning

Visual Tracking by now has gained much provenience among researchers in recent years due to its vast variety of applications that occur in daily life. Various applications of visual tracking include counting of cars on a high way, analyzing the crowd intensity in a concert or a football ground or a surveillance camera tracking a single person to track its movements. Various techniques have been proposed and implemented in this research domain where researchers have analyzed various parameters. Still this area has a lot to offer. There are two common approaches that are currently deployed in visual tracking. One is discriminative tracking and the other one is generative tracking. Discriminative tracking requires a pre-trained model that requires the learning of the data and solves the object recognition as a binary classification problem. On the other hand, generative model in tracking makes use of the previous states so that next state can be predicted. In this paper, a novel tacking based on generative tracking method is proposed called as Illumination Inavariant Spatio Temporal Tracker (IISTC). The proposed technique takes into account of the nearby surrounding regions and performs context learning so that the state of the object under consideration and its surrounding regions can be estimated in the next frame. The learning model is deployed both in the spatial domain as well as the temporal domain. Spatial domain part of the tracker takes into consideration the nearby pixels in a frame while the temporal model takes account of the possible change of object location. The proposed tracker was tested on a set of 50 images against other state of the art four trackers. Experimental results reveal that our proposed tracker performs reasonably well as compared with other trackers. The proposed visual tracker is both efficiently with respect to computation power as well as accuracy. The proposed tracker takes only 4 fast Fourier transform computations thus making it reasonably faster. The proposed trackers perform exceptionally well when there is a sudden change in back ground illumination.
SOLVING THE POLYTECHNIC CLASS SCHEDULING PROBLEM USING INTEGER LINEAR PROGRAMMING MODEL

This paper considers the problem of polytechnic course timetabling.In this problem, there are set of courses, lecturers and classrooms.The objective is to assign schedule courses so as to maximize the total preference of lecturer-course, lecturer-day and course-day.The problem was formulated in the form of linear integer programming model.Using the model and commercial software, the small sized instances are optimally solved.The model is solvable by IP Solvers, and the result was presented from the IP formulation.
A Prototyped NL-Based Approach for the Design of Multidimensional Data Warehouse

Organizations are more and more interested in the Data Warehouse (DW) technology and data analytics to base their decision-making processes on scientific arguments instead of intuition. Despite the efforts invested, the DW design issue remains a great challenging research domain. The design quality of the DW depends on several aspects, as the requirement gathering. In this context, we propose a Natural Language (NL) based design approach, which is twofold, first, it facilitates the involvement of the decision-makers in the DW design process; indeed, NL can encourage the decision-makers to express their requirements as English-like sentences conform to NL-templates. Secondly, our approach aims to generate semi-automatically a DW schema from a set of requirements gathered as analytical queries compliant to the NL-templates. This design approach relies on (i) two easy-to-use NL-templates to specifying the analysis components, and (ii) a set of five heuristic rules for extracting the multidimensional concepts from the requirements. We demonstrate the feasibility of our approach by developing the prototype Natural Language Decisional Requirements to DW Schema (NLDR2DWS).
Research on Face Recognition Technology Based on ESN Multi Feature Fusion

Using single feature as the basis of judgement will lead to lower accuracy and robustness of face recognition. Accordingly, a multi feature Echo State Network (ESN) fusion face recognition method is designed. In this method, three invariant features are selected as the basis for face recognition, including Histogram of Oriented Gridients (HOG) features, Local Binary Patterns (LBP) features and Visual Pattern Recognition by Moment Invariants (Hu). These three kinds of features basically cover the illumination, texture, shape and other properties of face images. In the fusion stage of the three features, the HOG feature dictionary, the LBP feature dictionary and the Hu feature dictionary are first formed, and then they are replaced by the ESN to train and determine the fusion weight of the three features. Finally, the similarity measure of the three feature fusion is formed as the basis for judging the face recognition. The weight setting of different features in the process of similarity comparison is completed by ESN iteration, which improves the accuracy of each feature as the judgment basis. The experimental results show that recognition accuracy of our method is higher than the method using single feature, and it is obviously better than the multi feature method using adaptive weight and the multi feature method using the genetic algorithm.