Reviewerly/exHarmony huggingface dataset:
The Development of Digital Textbooks 来学汉语lái xué Hànyǔ based on the 2013 Curriculum Cross-Major Courses of Mandarin for the Tenth Graders

Based on the observations of the use of textbooks in teach Mandarin, the identification sheet of students' needs and the results of interviews with Mandarin teachers found several problems. Among them, the majority of teachers still use imported textbooks from China, the contents of textbooks that do not reflect Indonesian culture and are not in accordance with the 2013 Curriculum, have not been sufficient to provide exercises for the practice of language skills, the order of material that has not been arranged in accordance with the rules for the preparation of textbooks, the number of textbooks available is limited, the condition of textbooks whose time has expired, and the learning process is less active and teacher-centered. This study aimed to examine the process of developing Mandarin digital textbooks in terms of the quality, effectiveness and practicality of 2013 curriculum-based digital textbooks in across-major courses of Mandarin for tenth graders. This development research uses Sugiyono's development model. This development research was carried out on the class X IPA 4 SMA Dharma Wanita Surabaya. The results of the validation of Mandarin textbook material are 89%, the results of the validation are 87%, the results of the language validation are 85%, and the results of the validation are 92%. All validation results are in the "very strong" category. The results of observations of student and teacher activities are 89% for student activities and 87% for teacher activities. The t-significance calculation uses a 95% confidence level or a 5% significance level and a t-significance result of 24, 11. This indicates that there are significant differences between the pre-test and post-test scores. It is said that Mandarin textbooks are effective for use
Introducing English as a Foreign Language for Autism Children, Why Not?

Children with autism tend to have difficulty communicating with others, but their language skills can still develop. This research is a descriptive qualitative study that illustrates English learning activities for autistic students at Talenta Kids School, Salatiga. This school provides educational services for autistic children using comprehensive learning methods and therapeutic methods. There are 7 students in this class but the researchers only focus on 2 students with autism as the object of this study. The learning activities of English students with autism are carried out by applying the Total Physical Response (TPR) method. This method connects vocabulary teaching with action. Data obtained through observation, interviews, and documentation. There are several activities carried out in English learning activities such as introducing simple vocabulary, teaching students to understand and following oral instructions from their teacher using simple English, encouraging students to respond to other people's words and describe something, singing, dancing and playing English games, as well as teaching reading and writing English in a simple way. The results showed that there was high enthusiasm from autistic students when learning English. They are able to respond and communicate well despite some obstacles. In addition, they also become more interested in focusing on their teacher.[Anak-anak dengan autisme cenderung mengalami kesulitan dalam berkomunikasi dengan orang lain, akan tetapi keterampilan bahasa mereka tetap dapat berkembang. Penelitian ini penelitian kualitatif deskriptif yang menggambarkan kegiatan belajar Bahasa Inggris untuk siswa autis di Talenta Kids School, Salatiga. Sekolah ini menyediakan layanan pendidikan untuk anak-anak autis menggunakan metode pembelajaran dan metode terapi yang komprehensif. Ada 7 siswa di kelas ini tetapi peneliti hanya fokus pada 2 siswa dengan autisme sebagai objek penelitian ini. Kegiatan belajar Bahasa Inggris siswa autis dilakukan dengan menerapkan metode Total Physical Response (TPR). Metode ini menghubungkan antara mengajar kosa kata dengan tindakan. Data didapatkan melalui observasi, wawancara, dan dokumentasi. Ada beberapa kegiatan yang dilakukan dalam kegiatan belajar Bahasa Inggris seperti memperkenalkan kosa kata sederhana, mengajar siswa untuk memahami dan mengikuti instruksi lisan dari guru mereka menggunakan Bahasa Inggris sederhana, mendorong siswa untuk menanggapi kata-kata orang lain dan menggambarkan sesuatu, bernyanyi, menari dan bermain permainan Bahasa Inggris, serta mengajar membaca dan menulis Bahasa Inggris dengan cara yang sederhana. Hasil penelitian menunjukkan bahwa ada antusiasme yang tinggi dari siswa autis ketika belajar Bahasa Inggris. Mereka mampu merespon dan berkomunikasi dengan baik walaupun ada beberapa kendala. Selain itu, mereka juga menjadi lebih tertarik untuk fokus pada guru mereka.]
Feature-Level Attentive Neural Model for Session-Based Recommendation

The main goal of session-based recommendation is to predict a user's next click based on historical anonymous session data. One important aspect is capturing the interest drift that occurs in a user's click sequences. Recent studies have mainly exploited the attention mechanism to extract the main intentions of users and reduce the influence of unintentional actions on the performance of recommendation systems. However, the previous works attempt to extract a user's interests at the item level; they ignore the inherent correlations between a user's interest drift. Therefore, we propose a novel Feature-level Attentive Neural Model (FANM) as a solution capable of capturing a user's current interests by considering interest drift at the feature level. Our model exploits a gated recurrent unit (GRU) and a multihead attention mechanism to extract a user's current interests at the feature level from click sequences; then, it integrates the user's long-term and short-term interests with their last actions (e.g., clicks) to predict the next action. Our proposed model effectively captures a user's interest drift by performing sufficient modeling of a user's sequence data, resulting in increased recommendation accuracy. The experiments on the two real-world datasets show that FANM performs significantly better than baseline methods.
MASTER CARD ANOMALY DETECTION USING RANDOM FOREST ANDSUPPORT VECTOR MACHINE ALGORITHMS

Dynamic bank fraud exercises occur now and produce high loss in current market. Hackers and criminals can utilizevarious advancements, for example, phishing and trojan to take the information from others' mastercards. Subsequently,it can recognize extortion in time. One strategy is to utilize the historical information including typical exchanges andmisrepresentation ones to acquire ordinary/extortion conduct highlights dependent on data mining procedures andafterward find the fraud and normal transactions. Anomaly detection is the best procedure material to numerousbusinesses, for example, banking and money related parts, social insurance, protection, government offices. There hasbeen an extraordinary increment lately, pushing fraud detection more significant than any time in recent world. A hugedollars are lost to fraud (misrepresentation) consistently. The methods for detecting fraud/ anomaly had to develop aswell as to provide more efficient protection. The most effecive and recognized technology that has been implemented forfraud/ anomaly detection is data mining. In data mining, ranom forest(RF) and support vector machine (SVM) are mostefficient algorithms. This paper shows the accuracy comparison of fraud detection using RF and SVM techniques.
Persation: an IoT Based Personal Safety Prediction Model Aided Solution

The number of attacks on innocent victims in moving vehicles, and abduction of individuals in their vehicles has risen alarmingly in the past few years.One common scenario evident from the modus operandi of this kind of attack is the random motion of these vehicles, due to the driver's unpredictable behaviours.To save the victims in such kinds of assault, it is essential to offer help promptly.An effective strategy to save victims is to predict the future location of the vehicles so that the rescue mission can be actioned at the earliest possibility.We have done a comprehensive survey of the state-of-the-art personal safety solutions and location prediction technologies and proposes an Internet of Things (IoT) based personal safety model, encompassing a prediction framework to anticipate the future vehicle locations by exploiting complex analytics of current and past data variables including the speed, direction and geolocation of the vehicles.Experiments conducted based on real-world datasets demonstrate the feasibility of our proposed framework in accurately predicting future vehicle locations.In this paper, we have a risk assessment of our safety solution model based on the OCTAVE ALLEGRO model and the implementation of our prediction model.
A COMPARATIVE STUDY OF MULTI-VIEW DATA VISUALIZATION ONBIG DATA USING DIFFERENT TECHNIQUES

In big data analysis data visualization is the important concept for processing and analyzing multivariate data, due torapid progress of data size and complexity of data. Fundamentally data visualization may accomplish three mainproblems, i.e. 1. Structured and unstructured pattern evaluation in big data analysis 2. Shrink the attributes in dataindexed big data analysis 3. Rearrange of attributes in parallel indexed based data storage. Hence to solve above threeproblems we used different techniques here. Parallel co-ordinate is an efficient and effective data visualization tool toanalyze and handle multi attribute high dimensional data. It is based 5Ws density sending and receiving datavisualization, it also read data patterns and attributes with reduces the overlapping to data patterns. Similarity measureis a categorization property to represent data with relationship objects in data set evaluation with different pair ofattributes. We need to improve parallel coordinate tool to support multi-attribute object relations, so we propose andimplement novel method i.e. (Similarity Measure Centered with Multi Viewpoint (SMCMV)) approach and relatedclustering approaches to represent data. For efficient data processing to evaluate each attribute in separate manner torepresent data in different factor with respect to returning of interest points in large scale data. So that in this paper, wealso present and develop novel Hybrid machine learning with sorting algorithm to evaluate data based on differentattributes with respect to interest points from high amount of data.Sorting algorithm consists two basic steps inevolution of data, first step evaluates sorted positional index, second step exploits sorted positional index and thenevaluate computational with selective and sequential data into table formation. Our implemented approach performs onreal world UCI repository mostly used data sets with sorting to exploit results comparison of existing algorithms withrespect to time, memory and table index evaluation for sorted data.
THE INFLUENCE OF COUNSELING BY USING COMIC MEDIA AS A LEARNING MEDIA TO IMPROVE KNOWLEDGE OF BALANCED NUTRITION MESSAGE (PGS) ON FOURTH GRADE STUDENTS

School children usually have a habit of eating high-calorie foods low in fiber, so it can be susceptible to disease. Elementary school children aged around 7-13 years is the second most rapid growth period after toddlers. At that age, discipline and awareness of children are still lacking in maintaining health, namely dental and oral health so vulnerable to caries in the teeth. One age group that often experience the disease problem is the elementary school age group. According to WHO (World Health Organization) data (2013) an increase in dental caries prevalence in the 12-year age group, ie 13.7% from 28.9% in 2007 rose to 42.6% in 2013. One way to reduce unhealthy snack habits in children is to provide nutritional education is interesting and easy to understand by children, so the role of educational media is very important, one of which is a comic. The purpose of this research is to know the influence of counseling by using comic media as a learning media to improve knowledge of balanced nutrition message (PGS) on fourth grade students SDN KALIREJO 02 And SDN KALIREJO 03 Lawang Malang Regency.This research type is Pre Exprerimental with design of one group pretest post test design and executed from September to December 2017. The number of samples obtained according to inclusion criteria during the research period is 83 samples.The results showed that there was an increase in knowledge. The result of statistical analysis on knowledge obtained p value = 0,000 <0,05. Based on the results of research, the provision of comics can increase knowledge about the habit of toothbrushing. Comic media dpaat accepted as slah one media in the process of nutrition pengajraan not only provide information about nutrition but also able to provide entertainment to students.
Enhancing EFL Learners’ Communicative Competence through Autonomous Learning Model; a Literature Review

Communicative competence is crucial for language learner since this is the goal of language learning. A teacher should master learning strategies and learning model in order to enhance students’ communicative competence. One of the teaching models which can be used to enhance learners’ communicative
Social, Emotional and Pedagogical Competence of a Teacher as a Prerequisite for the Prosocial Behavior of a Student

Social, emotional and pedagogical competencies are an important segment in the pedagogical work of teachers and are crucial for the formation and cultivation of pro-social behaviour of pupils.The imperative of modern education is not only reflected in the possession of professional knowledge of teachers, but also in managing emotional and social relations in the classroom.The aim of this research relates to the importance of teachers' social, emotional and pedagogical competencies for the pro-social behaviour of students.The sample and population were teachers of ten elementary schools on the territory of the City of Niš who were of different gender and length of work experience.The paper used a descriptive survey research method, scaling technique, and Likert type scale designed for research purposes.The results of the research show that there is a statistically significant difference in the possession of teachers' social, emotional and pedagogical competencies in relation to gender, whereas such differences are not determined in relation to the length of the teacher's working experience.The obtained results led us to the conclusion that higher levels of social, emotional, and pedagogical competencies of teachers are needed to develop and nurture the prosocial behaviour of students.According to the above, several pedagogical implications have been imposed: reform changes in the educational system as a whole, continuous professional support of educational authorities for teaching staff in the field of stimulating their interest in adopting and applying strategies and skills directed towards education of pro-socially oriented individuals, and the implementation of teachers' programs which will include socio-emotional aspects of work in schools.
Cognitive factor Affecting Elderly in Community

The purpose of this research is to identify major factors that influence the cognition the elderly in community. There was a significant correlation between the cognitive and visual perceptual skills of the elderly. The subject’s cognitive skill was statistically higher for males by gender, for lower age group, and for higher level of education.
Integrating the Four-Dimensional Education Framework Into an EFL Course Curriculum

A part of being in academia is moving from institution to institution. This paper will showcase the work of one educator as they adjusted to a new teaching context in 2018. With a desire to conduct practitioner research (Mann &amp; Walsh, 2017), the instructor designed a course for their university EFL classes using the required grammar textbook and the Center for Curriculum Redesign’s Four-Dimensional Education Framework (Fadel, Bialik, &amp; Trilling, 2015). Tasks and projects were designed to connect each grammar unit with activities designed to utilize the elements of the framework to motivate the students to take an active role in their learning. This paper will introduce the context, the Four-Dimensional Education framework, the course activities, and the results of a semester-long research project in hopes that other educators may be inspired to integrate the framework and similar learning initiatives in their own classrooms and teaching contexts.
VIRTUALIZATION AND CLOUD COMPUTING - CONCEPTS

Nowadays, the relationship between competitiveness and technology is spread around the business sector.This technological reality transforms the business scenario and gives a new look over subjects that were thought of as optimized and completely stable.Still, this can threaten the survival of some companies, as well as allow the creation of others, promote new markets and make it easier to globalize.Virtualization and cloud computing present themselves as technologies capable of that transformation as a business scenario, even more effective if used together.
Professional Competencies of Foreign Language Teachers in Elementary and Secondary Schools

The process of globalization and the development of a knowledge-based society has greatly influenced all spheres of social life, especially in the area of education that has a primary task, which is to enable an individual to live and work under these new conditions.This also requires new competencies and new, demanding tasks are being set before teachers on a daily basis, which is expanding their freedom of actions.They are required to improve the quality of the teaching process constantly by introducing various innovations in teaching and to undergo continuous professional development that needs to be a dynamic and durable process.In this respect, foreign language teachers have a particularly important role in trends related to the improvement of the quality of education and teaching.. Through their work, they create a teaching environment that supports the development of competencies necessary for life and work in the 21st century.There is no doubt that the need for continuous professional training of all those involved in the educational process is a necessity and obligation.So, this topic is certainly up-to-date and so far not many studies have been carried out about it, especially in Herzegovina-Neretva Canton elementary and secondary schools.Therefore, the purpose of this paper was to clearly highlight the professional competence and professional development of foreign language teachers, their attitudes and assessments related to the possibilities for continuous professional development and adopting new learning strategies.The main aim of the research was to gain insight into the attitudes of foreign language teachers towards the importance of continuous professional development and its impact on improving professional competencies. 1The research was conducted in elementary and secondary schools in Herzegovina-Neretva Canton, Bosnia and Herzegovina, on a sample of 91 foreign language teachers (English, 1 In effect, competence and competency (from Latin competentia which meant an agreement, a conjunction, and possibly expertise) are interchangeable, though competence is more often used to describe a person's general ability, while competency is more often used to describe a person's ability to perform a certain task (https://grammarist.com/
PERFORMANCE ANALYSIS OF VARIOUS FILTERS IN DESPECKLING OF ULTRASOUND KIDNEY IMAGE

In the modern world, processing of an digital image playing an essential role in medical diagnosis, treatment and education.Different modalities like CT, X-ray, MRI, PET and ultrasound medical images are acquired from different living objects. Even thoughdifferent modalities are available, ultrasound(US) image is mostly used because it is non-invasive and economical in nature. Since itis low cost, the noise component present in the ultrasonic image is large. The speckle-noise present in ultrasonic image worsen thequality of an image. Also limit the image contrast resolution in furtherimage processing steps. Speckle-noise present in the US imageto be reduced without degrading the image integrity. Speckle reduction is the essential role of research, which helps to interpret,segment, classify and retrieve the image effectively by preserving the feature details and textures of the ultrasound image. In thisproposed system various filters have been used to denoise the ultrasound kidney image. Herewith 100 images have been tested usingvarious denoising filters and the comparative performance can be made using various parametric measures such as SSIM(structuralsimilarity index), AD(average difference), PSNR(peak signal-to-noise ratio),NAE(Normalized absolute error), SNR(signal-to-noiseratio), MSE(mean square error), MD(maximum difference), SC(structural content), LMSE(Laplacianmean square error),NCC(normalized cross correlation), BRISQE, PIQE and NIQE. Experimental results of the various filters in despeckling of ultrasoundkidney image were analyzed based on the parametric value and to identify the better filter to despeckle the noise by preservingfeaturesand textures of the image.
JSSPP 2020 – 23rd Workshop on Job Scheduling Strategies for Parallel Processing

Summary form only given. The year 2020 is special for JSSPP workshop since JSSPP has been established 25 years ago in 1995. Despite the problems related to COVID-19 pandemic, we hope to deliver another highly interesting workshop. Seven papers will be presented at JSSPP during live video-conference session. Also, a keynote lecture will be delivered by César A. F. De Rose from PUCRS in Brazil, discussing performance interference and degradation in clouds.
Entrepreneur 2020 - The Effect of Training on Employees Performance

There is no doubt that organization ecumenical are striving for prosperity and outcompeting those in the same industry. In order to do so, organizations have to obtain and utilize her human resources efficaciously. Organizations need to be vigilant of face more authentically towards keeping their human resources up-to date. In so doing, managers need to pay special attention to all the core functions of human resource management as this plays a consequential role in different organizational, gregarious and economically cognate areas among others that are influential to the procurement of the organizational goals and thus organizations prosperous continuation in the market. This study, ergo, goes on to discuss one of the core functions of human resource which is training, employee performance, and how the earlier affects the latter. This chapter is divided into four sections, which will give the reader a comprehensive overview of the study. The first section presents the subject matter by presenting the background of the study. This is will be followed by the verbalization of the research quandary and the purport of the study. Determinately, the last section presents an overview of the progress of the rest of study.
Developing Control Operations for Information Risk Management by Formulating a Stochastic Model

Stochastic models are becoming increasingly useful for understanding or making performance evaluation of systems arising in various scientific and engineering disciplines. The present paper is mainly devoted to the explicit formulation, the theoretical investigation, and the practical interpretation of a stochastic model having the necessary advantages for the precise description and the thorough investigation of the behavior and performance of a system evolving in the environment of a random number of competing, global, and catastrophic risks. In addition, such a system incorporates its principal concepts for the strong enforcement of the crucial requirements substantially facilitating the effective use of the formulated stochastic model to the reliable development and successful implementation of vital strategic processes.