Reviewerly/exHarmony huggingface dataset:
ANALYSIS OF HIGH SCHOOL STUDENTS’ NEEDS FOR INSTRUCTIONAL MEDIA MADE USING ADOBE FLASH CS6 ABOUT VIRUS MATERIAL

Virus material is material that is difficult for students to understand, so it requires media that can clarify virus material. The solution to this problem is to create interactive learning media. This study aims to see the needs of students for interactive learning media based on Adobe Flash CS6 about virus material for class X students of SMAN 6 Bataghari. This type of research is descriptive quantitative. The method used to collect data was done through distributing online questionnaires to class X students and interviewing one biology teacher. The results of the study revealed that students had difficulties in understanding biology learning on viral material due to the abstract material and the lack of learning media that attracted students' attention and interest in learning. In addition, students considered the media used by the previous teacher to be monotonous and less attractive. Therefore, we need an interactive learning media that can help students to understand the learning material.
Biooils

Crude oil-based fuels, such as diesel fuels, have been primary sources of energy and fuels. However, significant public concerns about the sustainability, price fluctuations, and adverse environmental impact of biooils have emerged since the 1970s. Thus, biooils have emerged as an alternative to crude oils in recent decades. However, for the efficient progression of the research in this field, it is necessary to develop efficient incentive structures for the primary stakeholders and to inform these stakeholders about the research. Scientometric analysis offers ways to evaluate the research in a respective field. This method has been used to evaluate the research in a number of fields. However, there has been no scientometric study of this field. This chapter presents a study of the scientometric evaluation of the research in this field using two datasets. The first dataset includes the 100-most-cited papers (n = 100 sample papers) whilst the second set includes population papers (n = over 20,000 population papers) published between 1980 and 2019. The data on the indices, document types, authors, institutions, funding bodies, source titles, ‘Web of Science’ subject categories, key words, research fronts, and citation impact are presented and discussed.
Time Series Prediction of Machine Tool Sensor Data with Deep Echo State Network for Anomaly Detection

In this presentation, we present Deep Echo State Network （DeepESN）, which is suitable for time series prediction of sensor data during machining of machine tools. The recursive structure is built into each reservoir layer of DeepESN to improve the prediction accuracy of time series. In the experiment, we used Sunspot and MackeyGrass instead of machine tool sensor data, and compared the prediction accuracy of DeepESN with recursion structure, DeepESN without recursion structure, and LSTM.
Automatic Detection of Software Security Vulnerabilities

Software vulnerability refers to the characteristic that software can be exploited by attackers. Unauthorized actions can cause economic loss or damage to human life. Therefore, security vulnerabilities should be managed to prevent a malfunction of a software system. This paper provides a deep learning-based system that automatically detects software security vulnerabilities. The proposed detection system builds datasets with vulnerable and non-vulnerable functions for a supervised learning model. These datasets are collected from the CVE databases and GitHub repositories. The automation detection model achieved a high f1-score of 98%. Furthermore, the proposed model showed better classification performance than traditonal machine learning algorithms.
Comparison of Fundamental Learning Strategies for CBIR using Deep Learning Methods

The article has been withdrawn by agreement between the editors and publisher of Recent Advances in Electrical and Electronic Engineering. The authors are not responding to the editor’s requests to provide the language-edited version. Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused. The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php Bentham Science Disclaimer It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.
Data Analytics on student response via social media on the educational landscape (learning, experience, humanization) during the COVID-19 pandemic

Ever since the start of the COVID-19 Pandemic, students of tertiary educational institutions have been faced with multiple challenges navigating their studies and living situations. In particular, Universiti Teknologi Petronas (UTP) students had problems adapting to the various changes brought forth by management such as the changing mode of learning, having to return to campus, accommodation and accommodating to course fees whilst suffering economic setbacks. This study aims to analyse the student’s perspective on how their respective universities are handling the pandemic in an academic, social and welfare context. Specifically, it investigates how UTP students view the efforts being put forth by the university management in terms of managing student academic progress, quality of life and promotion of UTP whilst coping with the ongoing pandemic.To uncover unfiltered student opinions, one Facebook page was selected, UTP Community page managed by the Student Representative Council. All comments from particularly selected posts are retrieved via a data extraction tool. Then, a sentiment analysis of the comments is carried out using machine learning algorithms such as Support Vector Machine to analyse the sentiments conveyed by the students via their comments. A comparative analysis between the two algorithms is also conducted. The results of the study are still in progress and will be presented during the viva presentation.
MEDIA PEMBELAJARAN SKETCHUP 3D MATA PELAJARAN KONSTRUKSI DAN UTILITAS GEDUNG JURUSAN DPIB

This research departs from the low scores of students in the subject of Construction and Building Utilities, besides that there is no media that is attractive and easy to understand, due to time and conditions that have not made it possible to make the required media. The purpose of this study (1) to find out what the appropriate 3D visual-based building construction drawing media looks like using the 3D SketchUp program (2) to produce learning media products for teachers that are attractive and easy to understand by students, in the form of 3D visual-based learning media using the SketchUp 3D program.Using research and development methods (Design and Development Research). The development model used is in the form of developing a learning system with the ADDIE model. ADDIE stands for Analysis, Design, Development or Production, Implementation or Delivery and Evaluations. Of the five stages in this research, only three stages will be carried out, starting from (1) the analysis process followed by (2) the design process to (3) the development process.The results of the study were in the form of learning media for building construction images. This learning media with the Module file format (.skp), learning media files can be run with the 3D SketchUp application. The learning media will be packaged in a Compact Disk (CD), which contains two learning media files. (1) File 1 contains drawings of unreinforced building construction, (2) File 2 contains detailed drawings of building construction reinforcement.
Factors related to gender cyber-victimization in social networks among Spanish youth

The goal of this study was to identify factors associated with gender cyber-victimization in social networks: technological factors (participants’ use of virtual environments and digital competences), cognitive factors (participants’ concept of gender cyber-violence and perception of risk in online activities) and behavioural factors (participants’ responses to cyber-violence). This is a innovatory approach to measuring the phenomenon (identifying predictive factors), since previous studies have measured generalised cyber-violence through types of conduct found in the internet, the sex differences or studies focused in the sphere of partner relationships. The study was carried out with a sample of 4,536 adolescents aged from 12 to 14, all in compulsory secondary education in six different regions of Spain. An instrument consisting of different scales, was applied, and the data were analysed using descriptive, predictive and classifying techniques. The variables identified as predictors, in the regression analysis and as characterizers of cyber-victims in the clusters are: wider and more intensive use of social networks; more proactive responses to cyber-violence; lower competences in digital self-protection; a more limited concept of gender cyber-violence; and less awareness of risk in some online behaviours. These results suggest a need to intervene in education in order to minimize the risks revealed.
KEPEMIMPINAN PENDIDIKAN ISLAM PERSPEKTIF QURAISH SHIHAB

ABSTRACT: The increasing level of educational competition and developing educational technology make every educational institution including Islamic boarding schools try to implement strategies in winning educational competitions. Especially in this modern era, Islamic boarding schools are considered conservative and have low expertise compared to other modern education outputs, if pesantren cannot determine the right marketing strategy, the number of students will decrease. experienced and how to solve it. This study shows that the strategies that can be applied by Islamic boarding schools in marketing educational services include 7 aspects. The seven aspects include curriculum and educational services; price, setting costs that can be reached by all levels of society; place, the location of the pesantren is in an easily accessible place; promotion, promotion using brochures, holding events, and participating in competitions; processes, services in terms of administration in particular and all things, in general, are very good and open; People, has teachers who are competent in their fields and most of the alumni of the cottage themselves; facilities and infrastructure, complete facilities andinfrastructure.
Identifikasi Kesulitan Guru di Kabupaten Gowa dalam Mengembangkan Bahan Ajar Digital

The purpose of this research is to identify what are the obstacles for teachers in developing digital teaching materials. This research is descriptive qualitative research with a survey method. The data analysis technique uses quantitative data with a descriptive approach. Based on survey research conducted on 50 teachers in Gowa Regency, the results showed that 96% of teachers used student books and teacher books as teaching materials, 62% of teachers had developed their own teaching materials, by making them in ms. word and then converting them into pdf files, as many as 80% of teachers find it difficult to develop digital teaching materials. This data is reinforced by 70% of teachers who have never participated in workshops or training activities. The results of the data also show that there are obstacles faced by teachers, namely teachers find it difficult to spend time because they think that there are many teaching materials on the market (which are ready to use), are constrained by inadequate facilities and infrastructure, do not have qualified technological capabilities, feel complicated in developing teaching materials, takes time and money, and does not know how to develop digital teaching materials. From the results of this study, it can be seen that teachers, who are respondents in this study, still lack the awareness to improve their ability to master the technology so that they can develop digital teaching materials that can be used in learning according to their needs.
Dynamic Hypergraph Regularized Broad Learning System for Image Classification

As a novel alternative to deep neural networks, the broad learning system (BLS) has exhibited outstanding performance in many machine learning tasks. The unique flat network structure enables BLS to extract the non-linear characteristics of the data. And the weights of the hidden layer are randomly generated, allowing BLS to provide rapid training for large-scale data. However, BLS focuses on approximating the target data and ignores the inherent geometric structure of the data. Graph structure can reflect the latent structure between samples of a dataset. Hypergraph learning has superior performance in modeling high-order relationships compared to simple graph-based learning methods that can only model pairwise relationships of data. In this paper, we propose a novel extension of the standard BLS. The proposed dynamic hypergraph regularized broad learning system (DHGBLS) incorporates hypergraph learning in the optimization process. And dynamic optimization is established to learn the hypergraph and the network’s output weights simultaneously. In this way, the effects of various hyperedges can be automatically modulated. Experimental results on three popular datasets show the superiority of the proposed method over the standard BLS and other state-of-art classification methods.
Language in Cognitive Services

Communication is key in business and in life. Despite the challenges posed by COVID-19, our world will continue to be interconnected, and our businesses (and lives) will grow increasingly globalized as time moves forward. While English is commonly understood to be the language of international business, it only makes sense to communicate with people in their native language. Beyond conversation, though, you need the ability to analyze any communication, in a variety of languages.
Pengaruh Locus of Control Terhadap Motivasi Belajar Siswa

Motivation to learn can be interpreted as a desire that arises in a person to carry out learning activities in order to obtain the expected goals. This desire comes from outside yourself or comes from within a person. One of the internal factors that influence learning motivation is locus of control (LoC). LoC is a person's self-control towards the success he achieves in his daily activities. The purpose of this study was to determine the direct effect of LoC on student learning motivation. This type of research is a causal survey with path analysis type. The number of research samples were 95 students who were selected by multistage random sampling randomly from 1729 students. The results of the study of LoC variables and learning motivation were collected through an attitude scale then processed statistically. The description of the results of the student learning motivation data reached an average of 121.97, the standard deviation value was 121.97, the mode value was 114.77, the median value was 118.39; with 43 students (45%) obtaining scores below the mean interval. It was obtained that 34 students (36%) obtained the value lies in the average interval score, as many as 18 students (19%) achieved a value above the average interval. The results of the independent variable data (LoC) achieved an average value of 150.89, a median value of 158, 57, a mode value of 146.64 and a standard deviation of 25.53, with 42 students (44%) obtaining a score below the average interval . As many as 19 students (20%) obtained scores that were located on the average interval, then 34 students (36%) obtained scores above the average interval. Based on the results of data analysis, it is concluded that LoC has a positive direct effect on the learning motivation of students at State Junior High Schools in Gorontalo City. The creation of student learning motivation is influenced by their LoC.
ANALYSIS OF CHARACTERS AND CHARACTERISTICS IN THE NOVEL “BROKEN VOW” BY YURIS AFRIZAL

Literature as psychological symptoms in which there are psychological phenomena that appear through the behavior of the characters, thus literary works (literary texts) can be approached using literary theory. Therefore, research on characters and characterizations in novels with literary theory needs to be done. Based on the background above, in this research there were problems that was studied, namely: How are the analysis of the characters and characterizations in the novel Broken Vow by Yuris Afrizal? The formulation of the problem raised in this research was about the characters and characterizations in the novel Broken Vow. This research aimed to describe the characters and characterizations of the novel Broken Vow by Yuris Afrizal. The theory used was literary theory.The type of data used in this research was qualitative data and the data source used was the primary data source, namely the novel Broken Vow. The methods and techniques used for data collection are data library study methods and listening and note-taking techniques. Meanwhile, the methods and techniques of data analysis used in this research were formal and informal methods and deductive and inductive techniques. In presenting the results of data analysis in this research used an informal method, namely using a word description so that a comprehensive general conclusion can be obtained regarding the subject matter discussed. The results of the analysis contained in the Broken Vow Novel by Yuris Afrizal include the analysis of the main character Amara, the analysis of the main character Nadya, the analysis of the main character Irena, the analysis of the secondary character Kevia, the analysis of the secondary character Dion, the analysis of the secondary character Leo and the analysis of the secondary character Mr Juna.
Named-Entity Dataset for Medieval Latin, Middle High German and Old Norse

We present a dataset of named entities in three languages: Medieval Latin, Middle High German and Old Norse. The dataset, containing proper nouns of persons and places, was originally created to extract characters from three related medieval texts. Since the annotation is on low-resource pre-modern languages, they may be important to build named-entity recognition tools for languages with little data and high linguistic variation.
Deep Learning Based Face Recognition Technology in Bank Branch – An Application

Today with the rapid advancement and enhancement of technology everything is becoming automated in some or the other way. Face detection and recognition is one of the flourishing technology and has a lot of scope for development and implementation. The goal of any biometric system like iris scanner, fingerprint scanner etc. is to take advantage of the unique physical features of the human body. Benefits of face recognition based technology over other biometric technologies are the high degree of uniqueness it provides due to its dynamic nature and how effortless the process of authentication becomes. In this paper, an application of face recognition based authentication in the banking sector is being discussed. Face recognition system along with the liveness detector implementation can make the visit to a bank branch absolutely contactless, smooth and much faster.
DEA 모형 및 비율분석을 활용한 육계계열화사업 효율성 분석

Purpose: This study aims to find ways to improve efficiency of integrated broiler businesses using ratio analysis of their business and financial status through analyzing the business efficiency of the broiler integration project that faces the paradigm shift including national income improvement, change in the quality of life and consumer needs, and recognizing the problems in inefficient integrated broiler businesses.Research design, data, and methodology: The ways to recognize and improve the problems are sought through analysis of the efficiency factors of integrated entities using the DEA model of the broiler integration project and ratio analysis. For ratio analysis, an analysis related to input and output variables of DEA is selected, and the debt ratio of safety, current ratio of liquidity, the operating profit to sales ratio of profitability, asset growth rate of growth potential and total asset turnover of efficiency analyzed, eventually compared with the DEA efficiency. 23 companies with a high degree of integration in the status of slaughterhouses and oil collection facilities were selected, and analyzed using the audit reports on officially disclosed 2019 financial statements.Results: DEA analysis shows 4 companies were efficient, and returns to scale were shown to be 5 companies with IRS, 14 companies with DRS, and 4 companies with CRS. Ratio analysis indicates the stability, liquidity, profitability and efficiency ratios were low in the integrated broiler businesses, and their growth potential ratio was higher than the manufacturing average. Implications: This study measured the efficiency through the DEA model for domestic integrated broiler businesses, and thus analyzed efficient and inefficient entities using calculated efficiencies. Improvement in excessive input and insufficient output in inefficient entities, and leveling of efficiency will lead to the growth of the integrated broiler industry sector. Furthermore, increasing the sales of inefficient entities will stabilize their low operating profit margins.
SVA Library Research Guides: Online Resources and Services: Design Archives Online

The following guide outlines the collections, services, and support available remotely to students, faculty, and staff.
The hour glass method for encryption and compressing any encrypted text into a singlecharacter, using the fundamentals of power arithmetic function to reduce space complexityBasimNajimAL

Encryption is the science of concealing data, and because researchers seek to find the best way to hide datafromunauthorized persons to access it, and due to competition in this field, it became necessary to find methods that are difficultforattackers to break the cipher text and know its content, in this research paper a new method was proposed that we called it The“hour glass or sand clock method”, which mainly depends on reducing the size of any message, regardless of its size, tobecomeeight-bit size only, in addition to hiding all characters of the messagewith only one character using the principle ofarithmeticpower function, and it is the first method that relies in its work on the principle of compressing a complete message tobecomeOnlyonecharacter.Whichposesarealchallengeinfrontofallmethodsofbreakingtheciphertextasitwilldealwithonlyonecharacter.By using differentcryptanalysismethods,the proposedmethod’sstrengthandeffectiveness have beenprovenincounteringall types ofattacks.