Reviewerly/exHarmony huggingface dataset:
Robustness Analysis of a Steganography File Against a Media Sharing Process In Instant Messaging Applications

The main challenge in digital communication is not only the need to share information but also to protect that information from attacks from irresponsible people, such as hackers.One method that effectively protects data is steganography.The application of steganography includes media such as images, audio, and video.The survey 'We are Social' in 2016 described the most widely used instant messaging applications in Indonesia as BlackBerry Messenger (BBM), WhatsApp, and Messenger.All these applications can be used for sharing media in the form of images, audio, and video, which means steganographic messages can be sent through these applications.However, in order to share media there is an inherent process of editing or compression of the files.This is one of the weaknesses of steganography.In this research, the authors will attempt a simulation by sending steganographic files of images, audio, and video through three instant messaging (BBM, WhatsApp, Messenger) applications.The results obtained indicate that the majority of steganographic files are lost after going through the sharing process, which means instant messaging applications are not suitable for use as media to send steganographic files.
Feature: Class act

An inspiring in-school appearance from an author is often the key to getting kids interested in reading. Andrea Hanke spoke to four speakers' agencies about facilitating these important interactions.
Analysis of the state of the problem of professional formation of novice teachers

Научные тенденции: Педагогика и психология variety of ways: as a text on the Internet site, as an animated image, virtual reality, as a multimedia product, including digital audio recording and video.In addition, the use of ICT (Information Communication Technology) allows teachers to interact professionally with their colleagues and at the same time to improve their skills and exchange experience.*** 1.АКТ в образовании людей с особыми потребностями: Специализированный учебный курс/Авторизованный пер.с англ./Н.Токарева, С.Бесио -М.
IN-MEMORY COMPUTING

In-memory computing is the storage of information in the main random access memory (RAM) of servers rather than in databases operating on comparatively slow disk drives.It is computing that stores data in RAM across many connected devices and processes it in parallel to speed processing.This allows enterprises to analyze data in a matter of seconds instead of hours.This paper provides a brief introduction to in-memory computing.
MODELING A SECURE EXAM MANAGEMENT SYSTEM (SEMS) FOR MOBILE ENVIRONMENT BASED ON FACE RECOGNITION AND GPS TECHNIQUES

Learning anywhere at any time is the goal of Mobile learning (m-learning).With the proliferation of smartphones, some universities adopt m-learning to facilitate accessibility of documents and online courses for students.Teachers can plan for online assessment and students can join session, answer and see their score directly.During an exam, the challenge is to make sure that students don't cheat.In this paper, we propose a modeling of secure exam management system (SEMS) for m-learning.The system is composed of a mobile app and a server.The mobile app is specially developed for students and will be used during exams.When students start exam, random face recognition and location request will be run automatically to ensure that other students are not in the same place and that it is effectively the learner who is in front of his smartphone.
Comparative analysis on vehicle insurances fraud detection using machine learning

Now-a-days frauds have become a serious threat to the society. Fraud is an illegal way of gaining more money. Frauds are posing problems to so many people. So, fraud detection becomes very important in this current world. Fraud detection can be implemented in various fields like banking, insurance, financial sectors and information security systems. And in the field of insurance, we have different types of insurances- health, vehicle and even life insurances. Frauds occur in each of these types of insurances. There are many approaches using which fraud can be detected. Machine learning, artificial intelligence, data mining and other methods are used to detect frauds. The well-known methods used in machine learning to detect frauds are Bayesian Network, Decision trees and back propagation techniques. Many algorithms are also used to detect frauds like Naive Bayes, KNN, Random forest. In this paper, the different techniques used for vehicle insurance fraud detection are presented along with comparative analysis.
Inclusive mentoring and leadership, and the many roads to success

This paper discusses recent approaches to gender-inclusive mentoring and leadership at different stages of one’s professional life. We will discuss life scenarios where mentoring makes a difference, different types of mentoring, how to find a mentor, roles and expectations of mentors and mentees, mentoring events, and challenges in the mentoring process. We will outline the importance of leadership activities in the professional development of young professionals. Traits of good leaders, leadership strategies, and lessons learned from good leadership examples, will be presented. Last, we will discuss different ways of defining and achieving success in professional life and beyond.
Teachergrams: A New Trend of Teaching and Learning English

This paper focused on exploring the teachergrams phenomenon and English language learning. Thus, this paper outlined two main points including the the teachergrams existence in Instagram and their roles in English language learning. The result discussed showed that teachergrams have ability to turn instagram into interactive learning tool in English language learning. The discussion concludes that the existence of teachergrams have become a useful tool to spread English materials and contents for the followers/English learners in Instagram. Additionally, the content written in this paper is expected to be valuable resources for the people who teach and learn English in digital platform especially Instagram.
The Implementation of Indonesian Stemming System for Indonesian Translation of the Quran

Indonesian translation of the Quran (ITQ) is a translator documentation of Quran to Indonesian language containing Muslim guidance, so it is necessary to apply Indonesian Stemming System (ISS) to support learning and understanding ITQ contents.In the implementation of ITQ documentation stemming process, there were some errors including a little number of beheadings (understemming), non-beheading (overstemming), and that produces an incorrect base word.This paper focuses on the Indonesian stemming system implementation for ITQ to produce data training that can minimize errors in the application of the steaming process.The system development consists of 5 steps, including Empiricism in Algorithm Design, Implementation, Experimental Setup, Measure, and Conclusion.Porter algorithm is used in applying Indonesian Steaming System with the rule-based approach.The application of the text processing process starts from tokenization, stop word removal, stemming result token.The study and system development produce application system that optimizes the application of the tokenization process, stopword removal, and stemming ITQ.The result of this study enhances the application system that can support the researcher in understanding ITQ in developing advanced research in the field of text mining for ITQ and hadith.
Specific features of the student community

Научные тенденции: Педагогика и психология So, the professional formation of a novice teacher is a multi-level, phased process.This stage is the starting point of further professional development of a novice teacher.This process will be depended on whether the novice teacher will be a professional in his field, whether he will remain in the pedagogical sphere or go into other activities, and most importantly, whether his parents, the main clients of the educational organization, will be satisfied.*** 1.
Sifat-Sifat Graf Pembagi Nol pada Gelanggang Polinom Kuosien (Z_p [x])/〈x^(n+1) 〉 ×(Z_q [x])/〈x^(n+1) 〉

Zero-divisor graph is an undirectedgraphwhose vertices are zero-divisors of a commutative ring and edges defined as if and only if .Wicaksono (2013) gave some characteristics of graph zero-divisor in the modulary integer ring. This research aims to represent the zero-divisor elements of the polynomial kuosien ring where are prime numbers and into a graph called the zero-divisor graph The method used in this research is a deduktive method. The result shows that the zero divisor graph obtained from polynomial kuosien ring is complete bipartit graph with some characteristics related to its girth, ecccentricity, radius and diameter.
IMPLEMENTATION OF C4.5 METHOD TO DETERMINE THE FACTOR OF BEING LATE FOR COMING TO SCHOOL

Being late to school is a deviant act that violates the rules or regulations in the school both written and unwritten. The discipline of students coming to school is the first to see, some common factors that occur delays can occur include: distance to school, hours of wake up, hours of departure, travel conditions, and vehicles used. In this study, the authors used the Classification algorithm with the C4.5 method and the Forward selection method. The sample used was questionnaire data for students of class VIII (eight) in State Junior High School 271 totaling 270 students. Using training data, certain attributes are determined to form a classifier model. The results of this study are the results of the accuracy of the C4.5 method of 60.74% with the results of the tree showing congestion is a factor of school delay and the results of the accuracy of 65.93% for Forward selection and get the 3 best attributes.
An Efficient Model for Mining Outlier Opinions

In the internet era, opinion mining became a critical technique used in many applications.The internet offers a featured chance for users to express and share their views and experiences anywhere and at any time through various methods as online reviews, personal blogs, Facebook, Twitter and companies' websites.Such treasure of online data generated by users play an essential role in decision-making process and have the ability to make radical changes in several fields.Although the opinionated text can provide significantly invaluable information for the wide community either are individuals, business, or government, the outlier or anomaly opinions could have the same impact but in opposite manner which harm these fields.Consequently, there is an urge to develop techniques to detect the outlier opinions and avoid their negative impacts on several application domains which rely on opinion mining.In this paper, an efficient model for mining outlier opinions has been proposed.The proposed MOoM model, stands for Mining Outlier Opinion Model, offers for the first time the ability to mine outlier opinions from product's free-text reviews.Accordingly, it can help the decision makers to improve the overall sentiment analysis process and perform further analysis on the outlier opinions to get better understanding for them and avoid their negative impact.The proposed model consists of three modules; Data preprocessing module, Opinion mining module and outlier opinions detection module.The proposed model utilizes the lexicon-based approach to extract sentiment polarity from each review in the dataset.Also, it uses the Distance-based outlier detection algorithm to produce a graded list of review holders with outlier opinions.Experimental study is presented to evaluate the proposed model and the results proved the model's ability to detect outlier opinions in the product reviews effectively.The model is adaptable to be used in other fields rather than product's reviews by customizing its modules' layers.
KEMAHIRAN BERPIDATO SECARA EKSTEMPORAN MAHASISWA HIMA PBSI PERIODE 2019/2020 PROGRAM STUDI PENDIDIKAN BAHASA INDONESIA FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN UNIVERSITAS MARITIM RAJA ALI HAJI

This study aims to describe the extemporaneous speaking skills of HIMA PBSI students in the 2019/2020 Period Indonesian Language Study Program Faculty of Teacher Training and Education, Raja Ali Haji Maritime University. This research uses a descriptive method with a quantitative approach. The population in this study were students of HIMA PBSI (Indonesian Language and Literature Education Student Association) 2019/2020 period. Purposive sampling technique. The number of research samples is 15 students. Researchers use data collection techniques such as observation and recording. The results showed that the excellence of extemporaneous HIMA PBSI student speeches for the 2019/2020 period of the Indonesian Language Study Program faculty of education and education at the Raja Ali Ali Hajj maritime university in good information with an average value of 80.07. The description of the percentage of the score results is obtained 4 students data or as many as 26.6% get grades 85-100 with very good information. Then 7 students or 46.6% get 75-84 grades with good information, and 4 students or 26.6% get 60-74 grades with enough information. Based on the results of the study showed that the speech skills of HIMA PB students in the 2019/2020 period of the Indonesian Language Study Program Faculty of Teacher Training and Education of Raja Ali Haji University were of good quality.
Blockchain Technology, Use cases and Content Delivery Network

Blockchain is a distributed public ledger that contains all the digital transactions which is shared amongst the parties who participate in those transactions.It stores these transactions in such a way that it does not undergo any changes.Bitcoin is the popular application which makes use of the block chain technology.Many other applications like finance, real estate, IoT, supply chain etc use blockchain technology.The idea of the blockchain can be used by the content delivery networks to deliver the content to the customers in the reliable and secure manner.This technology has its own challenges and business opportunities which make it a fascinating concept from the perspective of research.
Survey on Satellite Image Extraction using Texture and Colour Feature

Satellite image processing is a significant field in research and development.Many image processing techniques have been developed to extract as much information as possible from the image.There are many parameters for retrieving information from images like colour , shape, texture, edge etc.In this paper, parameters texture and colour are used for extracting information from image.Technique for texture extraction used here is, GLCM .The detailed analysis of result of image retrieved using SURF descriptor ,CS SURF descriptor is also given.
AN INVESTIGATION OF THE TEST SCORES IN THE CHINESE LISTENING TEST

: In teaching-learning in general, and teaching-learning foreign languages ​​in particular, tests and exams are amongimportant forms to assess students' learning results in the learning process. A quality test can provide feedback for teaching and learning, help teachers and learners to promptly make necessary adjustments to improve the effectiveness of their teaching and learning. This research would preliminarily evaluate the quality of the test in Chinese listening for students at elementary level of proficiency based on the analysis of test papers and test scores of SC1, SC2. The research consists of 2 main parts: 1. Description and analysis of the tests; 2. Analysis of students’ test scores, and determination of the validity, reliability and difficulty of the tests using SPSS and Excel. The research results provide more feedback for subsequent test development and improvement.
Aligning Public Feedback to Requests for Comments on Regulations.gov

In an effort to democratize the regulatory process, the United States Federal government created regulations.gov, a portal through which federal agencies can share proposed regulations and solicit feedback from the public. A proposed regulation will contain several requests for feedback on specific topics, and the public can then submit comments in response. While this reduces barriers to soliciting feedback, it still leaves regulators with a challenge: how to produce a summary and incorporate feedback from the sometimes tens of thousands of submitted comments. We propose an information retrieval system by which comments are aligned to specific regulatory requests. We evaluate several measures of semantic similarity for matching comments to information requests. We evaluate our proposed system over a dataset containing several regulations proposed for electronic cigarettes, an issue that energized tens of thousands of comments in response1.
Using Online Recount Texts to Improve the Eighth Graders’ Reading Comprehension

This study was intended to apply online recount texts to solve the problems of the eighth graders of SMPN 1 Sukodono in 2013/2014 academic year in reading recount texts.The reading materials were taken from the British Council site.This design consisted of one cycle involving four steps or procedures.They are planning, implementation, observation, and reflection.The finding showed that by using online recount texts, the students could improve their reading comprehension.This was proved by improving the students' score from 68.6 in the preliminary test to 79.7.The numbers of students who passed the passing grade (75) improved from 36.12% in the preliminary test to 88.88% after the implementation of the strategy.Their reading skills developed, mainly in identifying main idea and detailed information, and classifying the text structure.Lastly, in terms of the students' attitude or response toward the application of online recount texts, 91% students gave positive responses.
Youth Crime in Karachi and London: A Comparative Analysis (Since 1990-2000)

This paper focuses on performing a comparative analysis of youth crime in London (UK) and Karachi (Pakistan). The methodology adopted to carry out this research was of a descriptive study. The researcher on the basis of qualitative and quantitative findings has found the prevalence of juvenile delinquency in the different societies. It was found that even though the society of the UK possesses better mechanism and structure in the form of education, social lifestyle, police and law enforcing agencies, Britain is still faced with considerable challenges in minimizing juvenile delinquency within the Kingdom, specifically in London. The same has also been identified in the case of Pakistan where the situation and rate of juvenile delinquency are constantly increasing. This is due to various factors such as its economic condition, education standard, standard of living and others. It is, however, recommended that societies should make significant reforms in education, social, and other sectors in order to deal with the issue more effectively.
Face Recognition Based on Improved Multiscale Convolutional Neural Network

Image feature extraction using convolution neural network has been widely used in face recognition and other image recognition problems.A face recognition algorithm based on improved multi-scale convolutional neural network is proposed in this paper. The algorithm first performs histogram equalization on the input image to increase the contrast of the face image. The neural network structure only contains three convolution layers. The features extracted by convolution of each layer are fused and then input into Softmax for classification. The algorithm has few network layers and simple structure, and can fully extract face features. The recognition rates are 99.4% and 98.9% respectively in ORL and Yale's small face data sets.
Music-Educational Activity of Music Art Teacher in the Professional Competence Structure

The article outlines the essence of the concept «music- educational activity». It is defined its content and structural components. The interconnected levels of internal regulation of the indicated phenomenon are revealed. Singled out knowledge, abilities, skills, attitudes, which are peculiar indicators of the formation of professional competence of the teacher The focus is on the structural components of musical and educational activities. The personality-qualitative perspectives of professional musical-educational activity are revealed. They are based on informed educational activities as a social phenomenon which leads to the transformation of the general need into the personal and forms a target setting on this basis.The motivational, content, operational and control-estimating in the context of the professional competence of the teacher of musical art is allocated. The need to develop this activity as an integral part in the structure of the professional competence of the teacher of musical art is well-grounded The purpose of the article is to reveal the essence of the concept of «music-educational activitiy» and to substantiate the necessity of mastering this ctivity as an integral part in the structure of professional competence of the teacher.Music-educational activity (MEA) is a process of conscious, active and purposeful interaction of educator as a subject of enlightenment and an audience as an object of enlightenment. This process is predetermined by an independent position of the person in the choice of musical values and is aimed at the dissemination of musical aesthetic knowledge in order to enhance thespiritual development of the person.The Realization of educational activities as a social phenomenon leads to the transformation of the general need into personal, leads to the formation on this basis of the target setting, which determines the personality-quality perspectives of professional MEA.Thus, to summarise, we can assert that MEA is an integral, dynamic system that has its own content, structure, it includes components such as motivational, content, operational and control-evaluation, it is an integral part of the proffessional competency of the music art teacher.
Counterfeit Currency Detection on Indonesian Banknotes Based on Latent Image Security Feature

The advancement in printing technologies is in line to the advancement in money counterfeiting technologies, especially in Indonesian banknotes.The authorities are trying to protect the Indonesian banknotes from counterfeiting by embedding up to 12 security features on the banknotes.By its characteristic, the security features are divided into three, which are open, semi-open and closed.However, with so many security features, counterfeit currency on Indonesian banknotes still circulating because the counterfeiters can make a banknote that is very similiar to the original banknote.But, the counterfeiters pay less attention to the details of latent image security feature.Latent image is a semi-open security feature that must be viewed carefully to be able to recognize it.Although this feature can be printed and falsified, the quality of this feature on conterfeit banknotewas very bad.Based on this, original banknote and counterfeit banknote can be detected and classified according to the latent image security features.This research aims to develop a method for detecting the authenticity of banknotes using Deep Learning technology with the Convolutional Neural Network (CNN) architecture.Outcome of the research can be used to develop an expert system for counterfeit banknotesdetection on Indonesian currency.