Reviewerly/exHarmony huggingface dataset:
The Features of Reflexivity Development, Depended on Pupils’ Personal Efficiency

The article examines reflexion as a determinant factor in personality formation that ensures activity successfulness, and reflexivity as a mechanism for personal efficiency formation. Reflexion is defined as an integrative property and a mechanism that enables a personality to realize and assess personal subjective qualities, to analyze personal «Me», to set new goals on the basis of personal meaningful assessments of own potentials, and, in conjunction with these goals, adjust adequately the perception of oneself and personal attitudes toward people around. The article describes the modern meta-cognitiveinterpretations of reflexion as a rethinking of the contents of consciousness, which has regulatory functions. The article analyzes data obtained from the experimental research on the types and properties of reflexivity, according to the criterion of its orientation (intra- and inter-psychic), characteristic for pupils with different efficiency during their transition from junior school age to adolescence. Pupils with high personal efficiency at stable, «uncritical» periods of school life demonstrate a sufficiently successful mastery of the ability to self-analysis, self-understanding, and understanding of their attitudes to others. At the same time, it has been found that the transitional periods (from primary to secondary school, from junior school age to adolescence) and the periods of adaptation show appearance of destructive tendencies, «blocking», and a decrease in the rate of reflexivity development, especially in the groups of low-efficiency pupils. The article proves that pupils’ intra-psychic reflexion is developed more intensively and constructively than inter-psychic during the period from the 3rd to 6th school years. This general tendency is observed in both groups of pupils: with low and with high personal efficiency. The development of intra-psychic reflexion is intensified at the transition to adolescence, as evidenced by an increased number of indicators showing average and higher than the average levels of this type of reflection, especially in groups of pupils with average and high-efficient levels.
THE PECULIARITIES OF THE DEVELOPMENT OF THE EMOTIONAL AND FIGURATIVE THINKING OF FUTURE TEACHERS OF MUSICAL ART

Society, advanced theory and practice of pedagogical education put forward the latest updated requirements for the improvement of the existing state of instrumental and performing training of the future teacher of musical art.The content of training of the students of art specialties oat higher educational institutions is determined by the specific practice work of music teachers at institutions of secondary education that combines performing and instrumental, vocal and choral and musical education, and has to be performed at musical art lessons and during out-of-school hours.The success of such a poly-dimensional activity depends on the level of the development of emotional and figurative thinking, on the future musical art teacher's possession of certain performing skills and abilities, the formation and creation of which is carried out in the process of education at a higher educational institution.The formation of an active creative personality is one of the main tasks of the musical and pedagogical education of the future specialist.The analysis of the state of the practical training of future teachers of musical art, the work on research sources, in particular those made by
The Comparison of Methods for Generating Prime Numbers between The Sieve of Eratosthenes, Atkins, and Sundaram

Prime numbers are unique numbers. Prime numbers are numbers that only have a dividing factor consisting of numbers 1 and the number itself. The prime numbers from 1 to n that are relatively small can be generated manually, but a prime number generator algorithm is needed to generate prime numbers on a large scale. This study compares three prime number generator algorithms, namely: The Sieve of Eratosthenes, The Sieve of Atkins, and The Sieve of Sundaram. These three sieve algorithms have their own differences in generating prime numbers. The Sieve of Eratosthenes uses a simpler method by crossing multiples of prime numbers and marking them as non-prime numbers. The Sieve of Atkins uses several requirements for quadratic equations and modulus in determining prime numbers. The Sieve of Sundaram has an algorithm similar to The Sieve of Atkins, but there are requirements for linear equations to determine prime numbers. This study aims to see a comparison of these three algorithms in terms of accuracy and speed in generating prime numbers on a large scale. The results of this study indicate The Sieve of Eratosthenes, Atkins and Sundaram algorithms can generate large numbers of prime numbers with good accuracy, this was tested by the Fermat Primality Test Algorithm. The conclusion that can be drawn from this study, The Sieve of Eratosthenes have a faster time to generate prime numbers on a large scale than the other two algorithms.
A Comprehensive Study on Applications and Challenges of IoT

The emergence of Internet of Things as a reliable, advanced and less costly technology is creating waves in the world of technology leading to innovations in different areas of healthcare, environment and many more. IoT technology enables every object around us to be controlled and monitored making it possible for things to interact with each other and not only with human beings. IoT finds its applications in wide areas of science and technology and also in day to day life to make life more comfortable and secure. In this paper we present a comprehensive study of applications of Internet of Things in various spheres of life such as smart homes, smart waste management, smart healthcare, smart manufacturing, waste management, surveillance etc. This paper also discusses some challenges faced by Internet of Things in different sectors because of its architecture. These challenges are need to be resolved before internet of things becomes a widely accepted and used technology.
DEVELOPING WORD WALLS AS MEDIA IN TEACHING WRITING SKILLS ON DESCRIPTIVE TEXT FOR SEVENTH GRADE STUDENTS AT MTS S NURUL HAKIM TEMBUNG

The aim of this study is to develop Word Walls as media for teaching writing descriptive text at the seventh grade students of MTs S Nurul Hakim Tembung. The researcher used Research and Development (R &amp; D) method through six steps: gathering data and information, need analysis, media design, validating to experts, revising, and final product. The subjects of this research were 26 students from VII A at MTs S Nurul Hakim Tembung. The instrument of collecting data was using questionnaires and interviewing the teacher. The data were analyzed by descriptive text technique. The product was assessed from two experts. The average scores of the product assessment were 90 from English teacher, and 92 from English lecturer. The total average scores from two experts were 91 which was in very good quality. It means that the developed product/Word Walls is eligible to be used for teaching writing descriptive text for the seventh grades students at MTs S Nurul Hakim Tembung. Keywords: Research and Development (R &amp; D), writing descriptive text, word walls.
PLS-SEM Based Analysis of Service of Learning, Service Quality and Satisfaction of College Student in Polytechnic

The development of science and technology as well as factors of ASEAN Economic Community (AEC), which is supported by an increase in industrial 4.0, the government provides an important responsibility for universities to be able to produce human resources that can compete on the era. This affects one of the colleges of polytechnics to continue to improve in terms of the quality of learning, service quality, to give effect to satisfaction with students. Related to that, conducted this study of 120 samples of student respondents to the questionnaires are processed by Structural Equation Modeling (SEM) -Partial Least Square (PLS). Based on the analysis and discussion, it can be concluded that the quality of learning and service quality has positive influence on student satisfaction.
PERANCANGAN SISTEM INFORMASI PERPUSTAKAAN PADA SMP NEGERI 1 SURAKARTA

The role of libraries in education is very important, namely to help implement good education, encourage and enable each student to optimize their potential as students. In SMP Negeri 1 Surakarta library management still uses manual systems in processing data so that the effective and efficient level is still small. The purpose of this study was to develop a computer-based library information system at the SMP Negeri 1 Surakarta library so that the management process was more efficient and optimal. For designing this information system using sublime text as a code editor, the language used is PHP and MySQL as the database server. As for this development through several stages, namely data collection, needs analysis, system design, system creation, and testing phase. The trial phase is done by black box testing and the level of acceptance of prospective users. Tests conducted at SMP Negeri 1 Surakatra get the results of an average percentage 85.3%, so it can be concluded that this library information system is interesting and feasible to apply
Analysis of speech recognition techniques

This paper focuses on speech recognition techniques such as LPC(linear predictive coding), MFCC(Mel-frequency Cepstral coefficients) with Hidden Markov Models, LPCC(linear predictive Cepstral coding), and RASTA and will compare these techniques to find a most accurate and efficient way to recognize speech. Speech recognition is the process in which program or machine do the identification of words or phrases and convert them to machine-readable format. Additionally, this paper also focuses on NLP(natural language processing) techniques used with the speech recognition process. Once the speech signal is converted to text then NLP is used to understand and generate what has been said. NLU(natural language understanding) and NLG(natural language generation) are two important steps in NLP, through this paper, we will compare and analysis techniques to find out which we can use with speech recognition for effective results. The Objective of this paper is to find out the best technique which is currently used.
Pengenalan Benda Hidup Dan Tak Hidup Untuk Anak Berkebutuhan Khusus (ABK) Tunagrahita Kelas Iii Sekolah Luar Biasa (SLB-C) Negeri Sukoharjo (Subtema: Pengenalan Hewan)

Educational game is a game created and designed specifically to be used as a medium used to teach people through material containing sound, text, images, videos, and animation, which has the purpose of being able to provide better understanding more easily understood.The main factor in the learning process of children with special needs is the difficulty of students to focus on learning. There fore the teacher must deliver the learning material repeatedly. The research was conducted with the aim of designing an educational game that utilizes Android mobile so learning is more effective and students focus more on the subject matter delivered. This research was conducted at the Sukoharjo State Special School (SLB), with reference to the third year elementary school handbook curriculum.The method of interviewing the teacher concerned and observations during the learning process, can be identified problems when learning takes place. This educational game was made using software construct 2, as well as making buttons with CorelDRAW x5 and audacity software for audio sounds. With an attractive appearance, this application helps teachers in the learning process, as well as student guardians in the learning process at home.
Research on Information of Elective Computer Courses for College Students Based on Data Mining Technology

This paper briefly introduces the data mining technology, and in detail analyzes association rule mining algorithm and the application of computer optional course in higher education, which includes four steps: data preparation and selection, data preprocessing, selection of the mining algorithm and the implementation, description of the mining results, acquires some useful rules information and obtains certain good application results, these information can assist related departments to allocate teaching resources reasonably and make corresponding decisions.
How high does Paper Mario have to jump to match the strength of his regular counterpart

The video game superstar Mario is well known for his jumping ability. In the spin-off game, Paper Mario is similarly well-known but is physically made of paper. This paper explores the differences in the impact force between regular and Paper Mario and calculates the jump height Paper Mario would need to attain in order for him to carry the same impact force as regular Mario. To do this, Paper Mario is assumed to be a rectangular sheet of paper, and the same height as regular Mario, but much less dense. From calculating the impact force from regular Mario to be 17.3 kN, it was found that in order to match this force, Paper Mario would need to attain a height of 47.6 m. As a result, while it is possible for Paper Mario to match Mario in damage, it is unrealistic that he would be able to do so. He can however, jump multiple times on enemies which would increase his damage output.
Context-based interoperability of semantic web services

Semantic mediation is a necessary mechanism to ensure interoperability of web services. In this paper, we present a classification and comparison of works in this field. We propose a semantic model to explicitly describe the heterogeneities of web services. This model is the basis for the mediation automation. In particular, we describe the behavioural semantic sub-model, for which we use the abstract state machine's method and the notion of behavioural context that we have defined. The mediation process we propose is implemented using web services. The core of this implementation is situated in the semantic transformations module, which is based on the mapping of ontologies and the reasoning about these mappings.
Image guided surgery and the use of augmented reality in cranio-maxillo-facial surgery

Background: Current routine in oral and maxillofacial surgery relies on the use of patient specific virtual planning, which is translated into the OR by the use of 3D printed guides or intra-operative navigation. Head mounted devices are developments in the field of virtual and augmented reality, that can provide surgeons intra-operative 3D images of the virtual planning.
Real-Time Analysis and Profiling of Coordinated Movements in Two-Dimensional Space using Footage from Multiple Cameras

Coordinated movements in teams involve strategic positioning and motions that are coordinated among a team of people.Since there are numerous coordinated movements that are in common use by military, criminal and sporting teams, experts in the fields of security and sports dedicate much of their time to understanding, devising and recognizing tactics that are in play in a particular scenario.In this study, a framework for automated analysis and profiling of coordinated movements using the machine vision techniques of visual object tracking and 3-dimensional reconstruction is discussed.The study also considers the feasibility of using real-time analysis of coordinated movements in assisted surveillance to buttress security.In this paper, a simplified description of the framework is proposed and its operation is explained.
Cryptocurrencies: the communication inside Blockchain technology and the cross-border Tax Law

This research aims to analyse the social event that is modifying the traditional financial system since the blockchain technology and cryptocurrencies came up. Taxation in international scenario were examined by the ideal from governments in a democratic system as an instrument that materialises human rights. The social observation approaches the legacy of Emile Durkheim philosophy who established a power relationship between social fact and coercion. Taxation has been the focal point in smart economy to juridical scientists and everyone involved in the digital economy. This research conducted tests and researches from historical and social method, seeking for laws, doctrine, jurisprudence and concrete case analysis in front of the philosophical school of logical-semantic constructivism as a suitable means to verify the possibility of constructing a matrix rule of tax incidence. This research was enough to show that the blockchain technology and cryptocurrencies fulfils its humanitarian role in the smart economy.
Depth simulation of underwater images for data augmentation

A method of simulating underwater images at a depth displaced by some desired factor is proposed with an application for data augmentation in machine learning. An at-depth PSF is generated and convolved with a recovered undegraded image to account for decreased resolution effects, and a transmission map is generated via single-image underwater dark channel prior (UDCP) and displaced by a distance d to reconstruct a final at-depth image. The accuracy of the depth simulation is compared between rescale only and PSF with rescale methods, using actual coral at-depth as the ground truth. The results of this validation show a high structural similarity for the simulated images compared with just a single rescale.
Forecasting based on Markov chain modely

In this paper, we try to forecast crop yield by the probability model based on Markov Chain theory, which overcomes some of the drawbacks of the regression model. Markov Chain models are not constrained by a parametric assumption and are robust against outliers and extreme values. Here, multiple order Markov chain were utilized.
Pemberdayaan Kelompok Kegiatan Guru (KKG) dalam pembuatan media literasi kelas awal di Kabupaten Polman

School Literacy Action (SLA) is also one of the work programs of KKG Wilayah 01 in Polman district. The KKG group is in Polewali 001 Elementary School (as a core school). The KKG group consists of 8 core and impact schools with a total of 98 teachers both PNS and non PNS teachers. While the number of early grade teachers for the 2018-2019 school year is 42 people. Early grade teachers needed more interactive media literacy in teaching reading for early grade students, namely classes 1, 2 and 3. This was because so far the early class students when the learning/literacy process still used traditional media such as the blackboard. The aims of this program to improve: 1) knowledge and technical skills to make the media literacy of the early classes for early grade teachers in the KKG region 01 Polman district, 2) the skills of the early class teachers at region 01 KKG Polman about the big book media literacy . The methods used to achieve this goal are: 1) Training, 2) Demonstrations, and 3) Assistance with the Participatory Rural Appraisal (PRA) approach. The proposed activities include training and mentoring. The specific target achieved is the increase in partner knowledge and skills about early-class media literacy.
Training an AI chatbot on AWS

This paper aims to simulate a fully functioning Artificially Intelligent chatbot on Amazon Web Services(AWS). The chatbot learns from the dataset feed to it. This project consists of an Artificially Intelligent System i.e. an agent acts by learning from the data set fed to it. A model is trained on the Cornell University Movie corpus. After training on the movie dataset, the chatbot can hold on to fun conversations. This uses Amazon Web Services for training the model in the cloud and establishing the required infrastructure in the cloud to make it scalable and secure.
Using Big Data Identification Support of Poor Students Based on Fuzzy Clustering Method

How to determine the poor students is the premise and foundation of the poor students' aid work in the major colleges and universities. Although after many years of exploration and improvement, colleges and universities throughout the country have also formed a set of their own identification methods for poor students, but the implementation effect is not ideal. The identification of poor students is still a difficult problem for poor students in colleges and universities. This paper holds that in the process of determining the poor students, especially the index of relative poverty should be a series of index system which synthesizes many factors, but the data performance of these factors is fuzzy, so we can combine big data, Using Fuzzy Cluster Analysis to establish a complete method to determine Poverty The model can be used to accurately identify the poor students.
PO-0865 Curative HDR brachytherapy (HDR-BT) for non-melanoma skin cancers (NMSC)

ConclusionDWI informed boost delineation for bladder radiotherapy planning improved normal tissue sparing at high dose bowel and bladder constraints by >60% compared to CT based GTV delineation.Acquiring DWI for radiotherapy planning may therefore complement target volume delineation and inform non-uniform dose delivery to biological sub-volumes for bladder radiotherapy dose escalation trials.Work is on-going to demonstrate this.
Trends and Variations of Monthly Solar Radiation, Temperature and Rainfall Data over Birnin Kebbi Metropolis for the Period of 2014-2016

The investigation of rainfall, temperature and solar radiation variability at Birnin Kebbi metropolis, Kebbi State, Nigeria was carried out using observations of air temperature (°C) rainfall (mm) and solar radiation (W/m2) for the period of 2014 -2016 (3 years), data was obtained at Sir Ahmadu Bello international Airport, analysis of data indicate for the occurrences of abrupt change in temperature, rainfall and solar radiation values. It was observed from the distributions of monthly average wind speed for the (3) three years are fairly similar with maximum wind speed with variation in some months, having deficit values in February and April 2014, February and March 2015, January and February 2016, its revealed that, the least global solar radiation in 2014 followed by the month of January 2015 and June in 2016. The variation between maximum solar radiation and minimum is said to be great in the months of January to March where there is increase in the intensity of heat as there is strong expectation of precipitation events that become extremely in the month of August/September 2016. The slight difference between maximum and minimum in the period advocates a different seasonal period between the regime of large difference and low difference in the Relative Humidity in the year. However 2016 show the maximum temperature which in turn when compared with 2014 and 2015 as the case reverse, significant increases in precipitation indicated in 2014 compare to other years (2015, 2016). It was concluded that there is a significant downward trend in the yearly total and mean rainfalls at Birnin Kebbi showing that 2014 has highest rainfall compared with 2015 and 2016.
Development of Learning Materials PR Script Writing Shaped Flip Book

The ability of lecturers in developing learning materials influences the success of the learning process, especially vendors of materials with an attractive look such as a flip book or ebook.This research aims to develop the learning materials of PR script writing in the form of ebook or flip book for students majoring Public Relations of UBSI.The development of learning materials used Dick and Carey model with Research and Development Approach of Borg and Gall which consists of 10 development stages modified by researcher.The result of this research is a textbook of PR script writing in the form of flip book (ebook).The learning result of students using flip book PR script writing as the learning materials increased by 93% compared to students who did not use The flip book PR script writing as much as 54%.
Serial Recall Effects in Neural Language Modeling

Hassan Hajipoor, Hadi Amiri, Maseud Rahgozar, Farhad Oroumchian. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.