Reviewerly/exHarmony huggingface dataset:
Improving the Students’ Writing Skill through Personal Journal Technique at VIII Grade Students of MTs Al-Ittihadiyah Laut Dendang.

This research was conducted to find out the implementation of personal journal technique in improving the students’ writing skill in recount text. The subject of this research was 30 students at VIII grade students of MTs Al-Ittihadiyah Laut Dendang. This research was conducted by classroom action research that consisted of two cycles. The qualitative data were taken from observation sheet, interview sheet, and diary notes. The quantitative data were taken from tests which carry out at the end of every cycle. The test was given in pre test, post test in cycle I and post test in cycle II. The result of the data analysis showed that the students’ score increased from the pre test, post test of cycle I to post test of cycle II. It could be seen from the mean of the pre test was 63, 8. There were 23, 33% (7) students who passed the standard minimum score or KKM. In the post test of cycle I, the mean was 71, 86. There were 50% (15) students who passed the standard minimum score or KKM. In the post test of cycle II, the mean was 76, 1. There were 76, 66% (23) students who passed the standard minimum score or KKM. It indicated that personal journal technique could improve the students’ writing skill in recount text.
UAV-Based Motion Target Detection and Tracking Method in Dynamic Scenes

In this paper, we present a novel moving object detection algorithm with better robustness and severability under dynamic background. Frame difference search method is proposed to reduce the accuracy requirement of background compensation in moving object detection under dynamic background. Specifically, we incorporate the idea of selective search algorithm into the moving target detection algorithm, and use the frame difference method to incorporate image pixel-level features to improve the anti-noise ability. In addition, the advantage of the heuristic search of the selective search algorithm is utilized to segment a specific moving target, and the detection frames of each moving target are respectively obtained. In the UAV campus data set we collected, the frame difference search method was used to obtain an average accuracy of 89.2%.
SOFT COMPUTING CONTROLLED BASED DYNAMIC MODEL OF FOUR WHEELED MOBILE ROBOT

A Soft Computing based dynamic model of four-wheeled mobile robot is developed. The controller takes into account of wheel slippage and skid effects, forward-backward velocity with respect of two motors. In this paper the two motors are controlled by teleoperation scheme based adaptive neural network fuzzy inference system. The camera captures the robot moving to target point images that are sent to host computer that is master robot. Based on the master robot determines actions corresponding response may follow the sensor through teleoperation that is slave robot. This system stability and satisfactory performance is assured by Lyapunov function. It is supporting the mobile robot can track a reference trajectory without deviation. Finally, simulation result shows that our controller can tracks unexpected corners and maintain the stability.
PROMOTING LEARNER INTEREST on ENGLISH WRITING THROUGH ENGLISH QUOTES

As a foreign language, some students find difficulties to learn English at school. An attractive media such as English Quotes are expected to increase learners’ interest in English writing. Thirty participants who are active users of social media are asked to answer several question through questionnaire and interview. The result shown that English Quotes help the participants to learn English accidentally. Since they only read what are they interested in, they enjoyed the process and do not feel burden to do it. When they find unfamiliar words, they are pleased to search the meaning through both online and offline dictionary. As a result, it can increase their vocabulary. Last but not least, after they already understood of the meaning, they tried to rewrite and posted it in their social media status, thus it help them increase their interest in writing.
최초의 한인 선교사에 관한 연구: 감리교와 장로교를 중심으로

This study aims to investigate the identity of the first Korean missionary. Without careful investigation, many regard Seoung-Ha Hong (Methodist) and/or Ki-Pung Lee (Presbyterian) as the earliest Korean missionary(ies). Until 1997, the Korean Methodist Church acknowledged people working for Korean immigrants as missionaries. Therefore it is accurate to say Methodist Seoung-Ha Hong, arriving in Hawaii in 1903, was the first Korean missionary. On the other hand, the Korean Presbyterian Church stopped recognizing Ki-Pung Lee, who was appointed to Jeju Island in 1907 arriving in 1908, as a foreign missionary. This is because the Church only regards pastors working for foreigners as missionaries. There is room to reconsider Ki-Poung Lee as a foreign missionary especially since Jeju Island is not beyond seas.
Innovating in Cyber Security - Shared research 2019

This is the second edition of the magazine produced by the Dutch Cyber Security Shared Research Program (SRP), a collaboration involving TNO, ING, ABN AMRO, Rabobank, Volksbank and Achmea and which is financially supported by the Dutch government. This magazine serves two purposes; • to share our experience that cooperation in a Shared Research Program adds value for every participant; • to share some of the results that have been achieved in this Program in the previous two years. We hope these experiences and results again will offer you some fresh perspectives on cyber security innovation, which we believe is essential to maintain a robust and safe society. The projects and the results highlighted in the magazine prove the added value of cooperation, which is the basis for this Program and is a common theme that returns in the articles in the magazine. As in the first edition, throughout the magazine, security leaders from each of the partners involved in this SRP share their views on cooperation within the Program, and on the resultant benefits. In 2019, the SRP celebrates its five year anniversary. We will continue the cooperation in the coming years and foster new partnerships. We trust that the experiences and results presented in this magazine will benefit individual organisations and trigger them to explore new ways of defending against cyber-attacks, resulting in a safer Dutch society as a whole.
Subjective Quality Evaluation of a Full Resolution Video with Eligible Number of Reference Pictures

The paper presents a new concept of video presentation for subjective quality evaluation methods with a reference given in parallel.The idea is to split a full resolution video into an n-picture matrix and encode each cell differently to compare aspects of processing such as encoding parameters or lossy compression algorithms.Conducted experiments show that it is possible to get more accurate results, shortening the time of evaluation at least by half with a less complicated and cheaper experimental station.
EduVirtual - Modern Educational Platform based on Multimedia Technologies

This paper presents an innovative project in the field of education, which applies modern graphic technologies, such as virtual and augmented reality. The project consists of multiple applications, which are using various technologies for different learning purposes. The applications are connected through user profiles and results are sent to a central server where a teacher can see all students’ recordings. The goal of the project is to deliver a solution that is easy to use without technical knowledge and is also engaging for students in primary and high schools. This solution should also provide an easy way for teachers to create new educational content and to monitor and analyse students’ progress.
Can metadata be used to measure the anonymity of Twitter users? Results of a Confirmatory Factor Analysis

Anonymity is one of the elements traditionally associated with criminal and antisocial behaviour. Anonymity depends on several factors, such as natural surveillance or the visibility created by the physical or digital environment. Certain digital environments, such as social networks, exhibit characteristics that facilitate or limit the degree of anonymity of their users. Social networks are places in cyberspace where people interact with each other and with the environment, where they increasingly carry out their daily activities and where they also commit crimes. This paper attempts to test the hypothesis that certain elements of the social network environment define the anonymity of their users. To this end, an empirical process for quantifying anonymity is proposed, which can be applied transversally to all places in cyberspace that permit user accounts. Subsequently, a data set of 162 users has been obtained from the social network Twitter which also collects the metadata associated to their accounts. To test this hypothesis, a Confirmatory Factor Analysis (CFA) has been conducted to determine whether the data obtained fit the model based on a theoretical concept proposed by the researchers. The results show a moderate fit for the model, suggesting that some metadata (i.e., geopositioning) do not contribute to defining the latent variable anonymity. We suggest the proposed model needs to be reconsidered and applied to a larger sample to improve its fit. Finally, the applicability of the proposed methodology for measuring anonymity and future lines of research are discussed.
Antagonistic interaction in an economy model with incomplete information

Abstract This article discusses the simplest case of two economic entities competing in an antagonistic manner. The antagonism of the interaction of objects is expressed in the fact that the first object (leader) seeks to maximize the value of the residual of the parameters of the two systems, and the second to minimize it. Mathematical modeling of antagonistic interaction in an economy model with incomplete information is described by a separate set of differential equations reflecting the time change of quite a certain numerical parameter characterizing the state of an economic object at any given time, the value of which the governing body of this object seeks to increase by means available to it.
Implementasi metode sugestopedia untuk meningkatkan keterampilan menulis teks eksposisi

Abstract . The purpose of research is to improve the exposition text writting skills used suggestopedia method . This research is Classroom Action Research with two cycles. The subjects of this research is the students of Setono primary education number 95 in the 2018/2019 academic years with 34 students . The techniques accumulation of data are observation, interview, document analyzing, and test. The analyze of data using triangulation technique, triangulation sources, and content validation. This research used an interactive analyze of miles-Huberman data analysis .  The result of the exposition text writing skill s of students o n cycle one th e clasiccal result s are 55,88% in the aspect of diction, 26,47% in the aspect of spelling and writting, 79,41% in the aspect of compability between  content and theme, 47,06% in the aspect of text structure, and 91,18% in the aspect of function text. While on the cycle two the classical results are 85,29% in the aspect of diction, 85,29% in the aspect of spelling and writting, 100% in the aspect of compability between  contents and theme, 85,29% in the aspect of text structure, 100% in the aspect of function text. It showed that the implementation of suggestopedia method can improve the exposition text writting skill s .
Ontologies of big data, machine learning, and artificial intelligence on the digital railroad

This article focuses on the use of ontologies in digital railway projects. An ontology is a systematic classification of subject knowledge that supports the use of various databases in a meaningful way. Rail transportation has become an area in which productivity is increasingly dependent on the ability to extract information from complex data sets, as well as make optimal decisions in real time. Therefore, effective information and data management are vital for a railway, which is a closely related ontological system of systems where changes in any part can have significant consequences elsewhere. For example, ontology is one of the important factors for implementing a big data risk analysis project (BDRA) for railways. BDRA's goal is to support risk analysis and safety decisions from a wide range of data sources, as well as to improve rail safety risk management. As an example, the work considers ontological design for the digital railway project Rail Baltica. The large role of artificial intelligence and machine learning-based systems is noted. The paper also shows that in order to fully utilize these new technologies, the railway industry must reconsider its approach to collecting and storing data and choosing the right set of ontologies.
Value-semantic orientations of a person in a cross-border area: the case of Baikal Asia

The article considers peculiarities in the value-semantic orientations of schoolchildren living on the territory under the conditions of a cross-border area. Significant differences in the value-sense sphere of modern schoolchildren are revealed, which can be explained by the geopolitical conditions of those living in a cross-border area.
An evaluation of automated methods for hate detection

Derogatory, foul, hateful and/or prejudiced comments or even threats directed at other individuals have become a common phenomenon in many digital environments. This is a problem that effects many ...
Vocabulary Learning Strategy Used By English Good Achiever: Case Study On Eleventh Grade Students Of SMA Negeri 6 Surakarta

The purpose of this study was to (1) describe cognitive strategies, which were used by students and (2) types of cognitive strategies that were preferred by English good achiever in learning English. This research was a case study with qualitative methods. The data source were six students of SMA N 6 SURAKARTA who have the highest score in English, including three males and three females. In this study the researchers used an open-ended questionnaire based on O'malley's theory in which there were 23 questions with 13 questions regarding cognitive strategies supported by in-depth interviews. In analyzing data, researchers used several techniques such as data reduction, data display, and drawing conclusions / verification. The results of this study indicate that all cognitive strategies were used by six English good achievers.
GREEN BANKING VARIOUS PROGRAMS CONDUCTED BY BANKS AND RESULTS OBTAINED IN PEENYA INDUSTRIAL AREA

In the era of sustainable development, Business organizations are seeking eco-friendly alternatives to carry on their business. The banking sector also is trying to Introduce green modes for conducting its activities, resulting in various banking institutions taking initiative and conducting various programs for facilitating transactions to be conducted in a convenient and eco-friendly way. Here we will be discussing about the various programs conducted by different banks regarding to the introduction of innovative modes of green banking and the results they obtained in Peenya Industrial Area.
Heavy metals concentration in the dumpsite soils using geo-accumulation index and ecological risk assessment

This study examines the pollution and geo-accumulation indices and the ecological assessment of heavy metal concentrations in dump sites in Kogi, Nasarawa and Niger States of North Central Nigeria. Analysis of the soil from the dumpsites indicates the presence of Aluminium, Chromium, Copper, Manganese, Iron, and Zinc at the various dump sites. The accumulation of heavy metals in agricultural soils is of increasing concern because of food safety, potential health risks and its detrimental effects on the soil ecosystem. The pollution Index of Cr is an alarming 30.83, 9.69, 13.21, 24.33, 24.10 and 16.54 in Lokoja, Kabba, Okene, Borgu, Bida, and Minna respectively. The concentration of Cu was observed to be 48.10, 29.57 and 29.41 in Borgu, Kabba and Minna respectively while the pollution index of Fe was 10.36 in Okene and 15.33 in Kabba. The result of this study shows that heavy metals are present in the study area at the different level of contamination, The geological accumulation of Cu, Cr, and Zn in Minna, Borgu and Bida dumpsite indicate an extreme contamination of the soil and require remediation actions to reclaim most of the dump sites.
ON DAM WATER SPILLAGE MODELLING USING 3-2-1 NEURAL NETWORK ARCHITECTURE

Forecasting Dam Spillage is very important in reservoir operation and dam management. This hydro power plant is the main source of electrical energy and water, both for human consumption and for farm irrigation. When heavy rainfall occurs, heavy dam water spillage can have a great impact to the nearby communities below the dam. Monitoring the volume of dam water spillage is very crucial in the events of flood and disaster prevention programs for the safety of the communities and inhabitants especially of those living at the riverbanks. The objective of this paper is to present the use of 3-2-1 neural network architecture in forecasting the monthly dam water spillage. Three variables were used of which the average monthly rainfall and average monthly river inflow are considered the input variables and the average monthly water dam spillage is the output variable. One hundred twenty-one (121) months of data were gathered. Data from years 2013-2019 (84 months) were simulated that is 70% of the total number of data gathered and used as the training set, and the remaining 30% a total of 37 months of data records available in PAGASA and Pulangi IV HEPP were treated as the testing set that were used in determining the efficiency of the model. The Radial Basis Function Neural Network and the General Regression Neural Network were used for the calculation of the monthly dam water spillage forecast. The Root Mean Squared Error (RMSE) was used in determining the forecasting performance of the 3-2-1 architecture design. Results showed that forecasting the monthly dam water spillage volume using 3-2-1 neural network architecture model is possible and highly accurate. It also showed that the Radial basis neural network forecasts better when compared to using the General Regression Neural Network. Keywords: Forecasting, Dam Spillage, Artificial Neural Network, Radial Basis Function Network, General Regression Neural Network
PENERAPAN UX GAMIFICATION PADA APLIKASI PEMESANAN LAYANAN SALON BERBASIS WEBSITE MENGGUNAKAN CODEIGNITER PADA SALON SEVENTYRAZOR

Salon seventyrazor initially used manual recording in serving the queue, Customers who come to register first with the administrative officer. Once recorded in the Microsoft Excel application, will be informed whether there is a queue or directly processed to the Barberman officer. When a customer makes an order through Whatsapp, the process is the same. Estimates for each hair cut are 30 to 45 minutes for each customer. The creation of a Website-Based Salon Service Order Application using Codeigniter on Seventyrazor Salon with the application of gamification as a solution in handling queuing reservations at Barbershop seventyrazors, especially in reducing the number of queues at the location and order cancellations that often occur. In this study the authors used the User-Centered-Design approach with the gamification method as a method of system development and using UML (Unified Modeling Language) as a tool in modeling the system to be built. Based on the research that has been done, it can be concluded that the website-based queue ordering application at Barbershop Seventyrazors can accelerate the recording of transactions that will occur today and tomorrow, and customers do not need to queue long at Barbershop because they already know their queue hours. transaction data processing in making monthly reports faster so that it can accelerate the generation of monthly income reports. The application created is a web-based application using a codeigniter framework.&#x0D;
INFLUENCE OF PHYSICAL EDUCATION ON STUDENTS IMPROVING MENTAL AND EMOTIONAL ACTIVITY DURING EXAMS

The article considers the influence of physical exercises on the increase of mental activity and the removal of psychoemotional stress of students. The paper presents the study of the dependence status of students on physical activity.
CLASSROOM LANGUAGE EMPLOYED BY TEACHERS IN TEACHING EYL IN LUBUKLINGGAU

The objective of the research was to find out the classroom language used by the Primary teachers in EFL classroom. The sample of the research was 3 teachers in grade 2, 5 and 6 at Palm Kids Elementary School of Lubuklinggau. The samples were taken through non probability as the technique of sampling. The researcher used descriptive qualitative research and the data were collected by using observation, interview, and documentation(field note and video recording). The result revealed that Classroom Languages used by the English teachers’ were: Exclusive use of L1, Exclusive use of TL, and Use of L1 immediately followed by the equivalents in the other language. In the other English teachers’ responded towards are the classroom language used helping the students understood the meaning, made the students easier to understood the material, helped students to understand what English said, helped to explain the material more detail in teaching and learning process and made the students have to master English well.
Formalization and study of the game-theoretic model of the optimal distribution of workers in enterprises

Abstract The paper presents a cooperative game about the appointment for the study of the optimal distribution of workers in the enterprise. Many workers and many enterprises are given. In this model, workers can team up, work in different enterprises and perform different jobs. Workers, teaming up and working in different enterprises, receive wages. The sum of these wages at all enterprises forms the income of the team. It is required to distribute income optimally between employees. A numerical example of finding the Shapley vector is compiled, which, depending on the productivity of workers performing work, shows what income each employee should receive.
SOFTWARE FOR THE ENCRYPTION OF TEXT DATA BASED ON THE MODIFIED ALGORITHM OF RICHARD ZORGE

The paper deals with the encryption algorithm of Richard Sorge and its subsequent modification. Made a rough evaluation of the cryptographic strength of the modified al-gorithm. The main aspects of the project are described.