Reviewerly/exHarmony huggingface dataset:
THE TECHNIQUE OF PSYCHOSEMANTIC ANALYSIS OF STUDENTS’ ATTITUDES TO SELF-EDUCATIONAL ACTIVITIES

The article presents the author’s technique analysing psychosemantically students’ attitudes to self-educational activities, which can be used in psychological and pedagogical practice both for research purposes and for psychological and pedagogical assistance for students by developing their readiness for self-education. It is substantiated that the study of the constructs of students’ consciousness, which reflect their attitudes to different self-educational activities, using the method of semantic differential, makes it possible to identify: how difficult to implement self-educational activities (including specific activities, such as reading of scientific-professional literature); what self-education means to them; how it affects students; how students understand the importance of such activities for their professional development; how they are interested in these activities and whether they are active in their implementation; to what degree self-education is modern, dynamic; deepness of awareness of what is learned through self-education; the regularity of their self-educational activities; the degree of independence in such activity organization and implementation; effectiveness of self-educational activities. During technique development, twenty-eight scales were identified, which made up the final version of the semantic differential matrix: 1) Fatiguing – Mobilizing, 2) Disciplinary – Relaxing, 3) Effective – Ineffective, 4) Interfering – Helping, 5) With help– Independent, 6) Significant – Unimportant, 7) Externally directed – Self-motivated, 8) Easily accessible – Hard to access, 9) Easy to implement – Difficult to implement, 10) Mass – Individual, 11) Full of meaning – Nonsense, 12) Not worth the effort – Worth the effort, 13) Not worth the attention – Worth the attention, 14) Uninformative – Informative, 15) Necessary – Useless, 16) Unnecessary – Demanded, 17) Unacceptable – Desirable, 18) Unproductive – Effective, 19) New – Traditional, 20) Boring – Interesting, 21) Passively carried out – Actively carried out, 22) Superficial – Deep, 23) Constant – Situational, 24) Regular – Rare, 25) Various – Monotonous, 26) Systematic – Chaotic, 27) Modern – Old-fashioned, 28) Harmful – Important. The expressed differentiating ability of the technique was substantiated. The stages of technique development were described.
Image Steganography Technique by Using MSUSAN Algorithm

Nowadays, the protection of secret data, which is being sent during transmission channel, has become one of the most important challenges in the information security. Therefore, the using of multimedia technology to provide data protection is needed. Hence, one of the most common data security methods used is image steganography. This paper applied “Modified Smallest Univalue Segment Assimilating Nucleus” (MSUSAN) algorithm to detect the interest points, which it are used to steganography, so that the embedding process in the area containing the edges or corners is less susceptible to discovery because the human eye is not sensitive to the change of edges. So when the nucleus is a candidate corner, the block detected as a rough block. Whereas the nucleus isn’t a candidate corner, the block detected as smooth block. The least significant bit (“LSB”) technique is used to hide 3 bits in the rough block while 2 bits are hidden in the smooth block. Therefore, this method is of high efficiency in terms of payload rate, “Peak Signal Noise Ratio”(PSNR) and “Mean Square Error”( MSE) which gives average PSNR of 54.25 and average MSE of 0.25 when hiding secret.image of_size “128*128” (131,072 bits) in different cover  image of size 512*512.In spite of hiding the largest number of secret bits up to 546506 bits, which is approximately secret image of size 261 * 261 , the PSNR is still above 46 and the MSE is still less than 1.4 . This shows that the quality of the proposed technique in this paper   is very good
Machine Learning: Towards an Unified Classification Criteria

In a broad sense, Machine Learning (ML) is the performance optimization in a certain task through computational means, following a certain criterion and using referential data and/or past results from previous iterations. ML is a subset of Artificial Intelligence (AI) and has attracted a substantial amount of research during the last decades. This blooming subject led to the statement of different definitions for classifications, criteria, algorithms and so on. This paper summarizes these different definitions and proposes a homologation between them, providing an unified vision for each definition.
ROLE OF ACTIVE KNOWLEDGE SHARING LEARNING METHOD IN IMPROVING ENGLISH LEARNING ACHIEVEMENT FOR STUDENT OF XII-IPA-1 CLASS AT SMA NEGERI 2 MADIUN CITY IN ACADEMIC YEAR 2019/2020

&lt;p&gt;This study aims to: (a) record the improvement of student achievement by applying the Active Knowledge Sharing Learning method; and (b) understand the effect of student learning motivation by applying the Active Knowledge Sharing Learning method. This research used class action research in three rounds. Each round consists of design, activities and observations, reflection, and revision. The onjectt of this research is student of the XII-IPA-1 Class at SMA Negeri 2 Madiun City in Academic Year 2019/2020. The data obtained by using formative test and observation. Results of the study reveal that the student learning achievement had increased from cycle I to cycle III, are cycle I (69.66%), cycle II (74.53%), and cycle III (83.09%). This study concluded that applying the Active Knowledge Sharing Learning method has a positive effect on the achievement and learning motivation for student.&lt;/p&gt;
Transliteration for Low-Resource Code-Switching Texts: Building an Automatic Cyrillic-to-Latin Converter for Tatar

We introduce a Cyrillic-to-Latin transliterator for the Tatar language based on subword-level language identification.The transliteration is a challenging task due to the following two reasons.First, because modern Tatar texts often contain intra-word code-switching to Russian, a different transliteration set of rules needs to be applied to each morpheme depending on the language, which necessitates morpheme-level language identification.Second, the fact that Tatar is a low-resource language, with most of the texts in Cyrillic, makes it difficult to prepare a sufficient dataset.Given this situation, we proposed a transliteration method based on subword-level language identification.We trained a language classifier with monolingual Tatar and Russian texts, and applied different transliteration rules in accord with the identified language.The results demonstrate that our proposed method outscores other Tatar transliteration tools, and imply that it correctly transcribes Russian loanwords to some extent.
KEAMANAN DATA PEMBELAJARAN ONLINE JARINGAN KOMPUTER DI PERGURUAN TINGGI

Data security is a process in maintaining and securing information packages in exchanging data in the digital world. The purpose of this study is to produce a method for securing online data transactions. The method used is a literature review by comparing several data security methods that already exist in online learning. The results achieved are a method or method that can be used in online learning for computer network courses. The implication is that the Computer Network course given online will have an online data security system in the teaching and learning process.
Brief Study of Comparison of Zend and Laravel PHP

The explosive growth of information systems today offers many interesting technology solutions on the market. However, the technology may be adopted without considering the impact on existing information systems and user expectations. We encourage you to identify and implement the technology solution that best suits your information system strategy. As a result, new methods have emerged and design tools are still evolving. The PHP framework as part of it opens up new perspectives in enhancing information systems . In this regard, this article focuses on a comparative study between the most popular PHP frameworks, the Symphony framework, and Laravel. Therefore, it provides an efficient comparison of Zend and Larval that combines functionality , multilingual, system requirements, technical architecture, code structure, continuous integration (CI), and finally the seven dimensions of the document dimension and the learning curve. The results show that our model can help IT project developers choose the right PHP framework.
Implementation of the «Single Text Day» campaign in rural and urban schools of the Yaroslavl region

The implementation of the requirements of the federal state educational standards of primary general, basic general and secondary general education makes its ownadjustments to the educational process. Today, the formation of metasubject skills, universal educational actions that allow modern schoolchildren to quickly adapt to changing conditions, is becoming valuable. One of these skills is to find, interpret, and evaluate information. An analysis of international studies such as PISA shows that the formation of reading competence among Russian fifteen-year-olds is low. This is due to the fact that schools have weak systematic work with information (for example, there is no work with electronic texts or there is work only with solid texts). To this can be added the disunity of school subjects: each teacher in their professional activities uses their own set of methods and techniques to form the reading literacy of students. The search for technologies and teaching methods aimed at consolidating the efforts of teachers of different academic subjects led to the development of the «Single Text Day» technology and to the «Single Text Day» campaign, the features of which are described in this article. The main goal of the Campaign is the formation and development of schoolchildren’s reading literacy. The article consistently reveals the stages of preparation for the Day of a single Text: from the list of planned results, the description of the subtleties in the selection of the text to the features of the final work to the ways of adapting ready-made materials. It also analyzes the perception of the Day of a single Text by students and teachers who participated in the Campaign.
PEDAGOGICAL PRACTICE AS AN EFFECTIVE MEANS OF PROFESSIONAL TRAINING OF PRIMARY SCHOOL TEACHERS

This article analyzes the problem of organizing the practice of students-future teachers of primary education in the University, describes the pedagogical conditions for the success and effectiveness of its implementation. The purpose of the article is to identify and justify the relationship between the student's creative activity and continuous practice during the entire period of study at the University. It is shown that pedagogical practice has a special role in preparing future primary school teachers for professional work, since practice generates a desire to discover new things, arouses interest in the studied, and forms students ' complete ideas about pedagogical activity, about the real ways of its knowledge and development.
Homogenisation of monthly temperatures of the Swedish observational network 1850-2020

&amp;lt;p&amp;gt;Monthly averages of statistical temperature variables (i.e. monthly averages of daily maximum, minimum, and mean temperatures) are homogenised for a large part of the Swedish observational network dataset from 1850 to 2020. Data from 573&amp;amp;#8211;587 weather stations (depending on variable) are coupled into 299&amp;amp;#8211;303 time series. The coupling of time series is partly performed automatically following a set of criteria of geographical proximity, altitude, proximity to coast line, time series overlap, and correlation of the data series.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The homogenisation of the data set is performed with the recently developed homogenisation tool Bart. Bart is a fully automatic modification of the homogenisation tool HOMER. Bart uses a set of input parameters to accept or reject potential homogeneity break points suggested by the different functions of HOMER. Bart performs correction and gap filling of the data series according to the accepted homogeneity break points. A rudimentary sensitivity test is performed to examine how sensitive the homogenisation is to the selection of the input parameters assumed most important and to find a optimal set up of these parameters. Other features in Bart include a novel procedure for the selection of reference time series to account for uneven data coverage, and parallel computing to reduce the computational time.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;An important application of the homogenised data set is the calculation of the climate indicator of temperature. The climate indicator of temperature is the average annual mean temperatures of thirty-nine weather stations, carefully selected to represent the climate in Sweden over the last 170 years. The use of homogenised data gives a 1.8 &amp;amp;#176;C (10 a)-1&amp;amp;#160;greater warming than if raw data is used from 1860 to present, the period for which data coverage is sufficient.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;img src=&amp;quot;https://contentmanager.copernicus.org/fileStorageProxy.php?f=gnp.18ad2b13c10069128270161/sdaolpUECMynit/12UGE&amp;amp;app=m&amp;amp;a=0&amp;amp;c=73e0a62bb7be6a58ba81126e3ce2b48e&amp;amp;ct=x&amp;amp;pn=gnp.elif&amp;amp;d=1&amp;quot; alt=&amp;quot;&amp;quot;&amp;gt;&amp;lt;/p&amp;gt;
THE EFFECT OF PHONOLOGICAL INSTRUCTION FOR STRUGGLING READERS IN ELEMENTARY

This study aims to determine the impact of phonological instruction interventions on dyslexic students in elementary schools. We tested the effect of phonological instruction on phonological awareness, reading and spelling skills in 4 subjects who had almost similar reading difficulties at different grade levels. This study used an experimental design method single subject research (SSR). The SSR design used is the A-B-A design which consists of three stages of conditions, namely: A-1 (baseline 1), B (intervention), A-2 (baseline 2). Tests given to measure baseline and intervention results of phonology awareness tests, reading tests and spelling tests. Measurement of ability at the baseline was given as many as 4 sessions while the intervention for 12 sessions. The results showed that phonological instruction had an effect on increasing phonological awareness, reading and spelling skills. The significant effect of phonological instruction interventions suggests that understanding phonological principles is beneficial for students with dyslexia.
Man In The Media Technology Industry

The article shows that the modern media environment is a qualitatively new stage in the transformation of the media environment, since there is not only an intensification of the level of development of science and technology, new structures of social life and ways of organizing production, but also the formation of new forms of sociality, understanding of human nature and his transformation.The influence of media technologies on the social environment is analyzed and it is shown that developments in the field of nanotechnology, robotics, memristor electronics, which penetrate all levels of living and non-living matter, become global threats.NBICS technologies set a new strategy for the development of civilization, and their potential consequences require a humanitarian reflection on both the prospects and the threats to its implementation.A human himself becomes a witness to a new evolutionary state of civilization and is transformed under the influence of a complex of modern media technologies.It is proved that media technologies are changing the everyday life of people, their communication, the way of their direct personal being, and the human world under the influence of media technologies, media socium and media culture is transformed into his media world.The socio-humanitarian functionality of digital media networks as digital mediators is revealed and their influence on the social-natural environment of human habitation is characterized.
Tutoring as a form of psychological pedagogical support to children with special educational needs

The importance of the development of giftedness in children, including those with disabilities, is emphasized in the article, the author’s view on understanding the essence of the category of children with special educational needs is revealed, the importance of unlocking the potential, giftedness of a child is emphasized. Based on a brief description of children with disabilities and their giftedness, it is concluded that it is necessary to create individual education and development routes for such children, one of which is psychological and pedagogical support to a child in the form of tutoring. Particular attention is paid to the essence and specifics of tutoring, taking into account foreign experience, issues of training tutors at various levels of education. In conclusion, the authors of the article present the target orientations of a project dedicated to the problem under consideration that is being developed at Armavir State Pedagogical University.
Attendance Monitoring System using Multiple Facial Recognition

Attendance is used to keep track of students in all educational institutes but it is a very time taking process to mark the attendance individually. To reduce time taken in this process and to improve work experience for the teachers and also for students, the software is built in order to provide better efficiency. Face recognition is used and utilized to find and recognize the student' face for keeping the attendance up to date. The project also includes the self-learning model to keep a better record of recognizable faces. Attendance is marked when the face is recognize. If the face have low confidence level, then the model is further trained to recognize that particular face. This helps in improving the efficiency of recognizing the faces.
Learning Software Development through Modeling using an Object Oriented Approach with Unified Modeling Language: A Case of an Online Interview System

This paper demonstrates the learning of software engineering through modeling using Object-Oriented Analysis and Design approach with Unified Modeling Language. An online interview management system case project to the whole class was used to develop the software requirement specification. Through modelling, the processes to be considered in software development were also elaborated, where it starts with the identification of major or basic processes of the domain of application, followed by the identification of activities to be performed under each basic process and, finally, transforming the activities highlighted in the functional requirements presentation. Modeling was practised by students through group case projects, and students were active, engaging and focusing on the learning process in such a way that more than 85.9% of students had the courage to attempt design questions during university examinations.
Smart-Start Decoding for Neural Machine Translation

Most current neural machine translation models adopt a monotonic decoding order of either left-to-right or right-to-left.In this work, we propose a novel method that breaks up the limitation of these decoding orders, called Smart-Start decoding.More specifically, our method first predicts a median word.It starts to decode the words on the right side of the median word and then generates words on the left.We evaluate the proposed Smart-Start decoding method on three datasets.Experimental results show that the proposed method can significantly outperform strong baseline models.
REFLEKSI PENDIDIKAN LITERASI DALAM SURAT ALKAHFI AYAT 109 DAN RELEVANSINYA DI INDONESIA

In forming literate souls in students, it is not as easy as turning your palms. Therefore, through literate mental education, children will apply to their souls. Some of the methods used include the method of habituation, exemplary and so on.Now we see the level of Indonesian literacy research entitled World's Most Literate Nations Ranked, conducted by Central Connecticut State University, Indonesia is ranked 60th out of 61 countries regarding interest read. By exploring the verses of the Qur'an, Surat al-Kahf, verse 109, it will reveal an extraordinary literacy message that can be implemented in the world of education today. The role of educators in shaping a literate spirit is not only in conveying ways, but also by giving examples, and doing good habituation. The amount of knowledge, information, said Allah, requires a literate soul so that one can always seek the scientific information needed and according to what is desired.
Analisis perbandingan algoritma Naïve Bayes, k-Nearest Neighbor dan Neural Network untuk permasalahan class-imbalanced data pada kasus credit card fraud dataset

The high public interest in transactions using credit cards in the banking sector has the potential for higher credit card fraud. This study uses a credit card fraud dataset that consisting of 284,807 data obtained from Kaggle. The dataset in this study is class-imbalanced data with a comparison between the major class of 99.8% and the minor class of 0.2%. This class-imbalanced data problem will be solved by applying undersampling. In order to determine the performance of the classification algorithm that is most suitable for solving class-imbalanced data problems, a comparison of the Naïve Bayes, k-Nearest Neighbor (kNN) and Neural Network algorithms will be carried out. The t-test in this study was conducted to determine the significance of differences between algorithms. Algorithm performance evaluation uses accuracy and AUC (area under the curve) values. The test results in this study is Neural Network has better performance than other algorithms because it has the highest accuracy value of 93.59% and AUC value of 0.977. Based on the t-test results, the Neural Network with k-NN has a significant difference, in contrast to the Neural Network with Naïve Bayes there is no significant difference.
PREPARATION OF FUTURE PRIMARY SCHOOL TEACHERS FOR THE FORMATION OF STUDENTS' SKILLS 4K

The article describes the issues of preparing future primary school teachers for new professional competencies. The article describes the need to prepare future teachers for the formation and consolidation of skills of the XXI century in the system of 4K. The individual content of skills and features of training in accordance with the model of 4K. According to the updated educational program, the reasons and expected results of the introduction of the natural science subject in the primary level are presented. The possibility of a natural science subject in primary classes in the formation of a wide range of skills is shown. Science lessons have a great potential for mastering the skills of group 4K, based on the basis of integration education. In the organization of the course "methods of teaching natural science in primary classes" students are offered the most effective forms of innovative teaching methods: "Fishbone", "smart 6 hats", "Zigzak", "SCAMPER", which have been tested. Each of them is characterized and confirmed by methods that allow to improve the skills of the group of 4K, necessary for the professional activities of future teachers.
Advanced String Manipulation and Pattern Matching

Many basic string manipulation and pattern matching tasks can be handled using one of the many string functions that come pre-package in Power Query. You can get to many of these functions from the graphical interface, and they are also available for use in calculated columns. These functions work great for simple situations but are not sufficient in many advanced scenarios. Fortunately, R and Python have advanced tools that enable you to perform advanced string manipulation and pattern matching tasks that are beyond the capabilities of Power Query.