Reviewerly/exHarmony huggingface dataset:
NALISIS NILAI-NILAI PENDIDIKAN DALAM NOVEL “AYAT AYAT CINTA” KARYA HABIBURRAHMAN EL SHIRAZY

This study aimed to describe the educational values ​​contained in the Novel “Ayat Ayat Cinta” Karya Habiburrahman El Shirazy. Reasons been in terms of educational value for novel Ayat Ayat Cinta is known to inspire many readers, it means that there are positive values ​​that can be taken and realized by readers in their daily lives, particularly in terms of education. This study used descriptive qualitative method. To collect data in the field of research pursued by content analysis (content analysis) on a piece of literature to describe the content or the content contained in the text of the novel, is to know and describe the value of religious education that is contained in the novel. Data analysis technique used in this study using flow analysis model, includes three components, namely: (1) data reduction; (2) data; (3) conclusion. Based on the research results can be concluded that: 1) Novel “Ayat Ayat Cinta” Karya Habiburrahman El Shirazy include the value of religious education are the things that relate to God relates to the character of the characters in the novel such as piety, attitude, patient, honest attitude, and the attitude of sincerity , 2) the value of moral education such as: the value of fidelity described by Fahri, value honesty described by Fahri, the value of independence and responsibility are described by Fahri and friends. 3) social educational value contained in the novel Gone With the Wind work Habiburrahman El Shirazy is etiquette leaders, the attitude of mutual help, mutual respect, the attitude of neighboring pillars.
RANCANGAN MEDIA PROMOSI MENGGUNAKAN METODE SPIRAL SOFTWARE DEVELOPMENT

During the current pandemic, the Information Systems Study Program of Universitas Harapan Medan (UnHar) certainly needs a system to promote and recruit prospective new students. This research aims to assist the the Information Systems Study Program of UnHar Medan in introducing the Study Program and Campus environment to the community and to create public interest in joining as students in the Information Systems Study Program of UnHar Medan. Promotional media developed based on the web by applying the spiral method, for abstracting the business process system using UML and displaying building objects in 3 dimensions using the Virtual Reality Modeling Language (VRML). The results of this study are the first that the system built can be used by the Universitas Harapan Medan to promote the campus, especially the promotion in the Information Systems Study Program. Second, this web-based system makes it easier for prospective students to see and know the conditions and advantages of the Information Systems Study Program of UnHar Medan. Third, an attractive appearance is presented by the system on the campus building menu which can be viewed in 3 dimensions.
Some Methodological Guidelines on the Creation of Educational Games on “Computer Modeling”

In the present study some ideas related to the development of educational games in the classes of „Computer Modeling“ are presented. Attention is paid to some features in the creation of this type of games when using the block environment Scratch. An exemplary realization of an educational game based on the educational content of “Computer Modeling” is considered.
Automatic generation of Ontology Diagrams

One of the main goals of software engineering (SE) discipline is a way to find a higher level of abstraction and reuse software to improve productivity and quality. The body is usually considered to be one or more of the technologies or artifacts used in software life cycle stages that can be used to achieve this goal. One of the core objectives of the software engineering (SE) industry is to find an advanced level of concept and ways of recycling software to upsurge output and quality. Typically, the object is measured to be one or more technologies or artifacts used in the software lifecycle stage, which can be used to accomplish this area. This article provides a document overview, discussion, and analysis, and implements a new solution to the automatic generate ontology diagram within a tool. We have selected several software development examples (including software product lines, component development, synthetic programming, and model-oriented engineering) to classify and discuss different methods and present ontology tools for comparison with our tool which is proposed in the document.
Feature Back-Tracking with Sparse Deep Belief Networks

To find a way of the interpretability of deep learning, in this paper, a features back-tracking (FBT) approach based on a sparse deep learning architecture is proposed. Firstly, for a deep belief network (DBN), both the Kullback-Leibler divergence of the hidden neurons and the L1 norm penalty on the connection weights are introduced. Thus, the sparse response mechanism as well as the sparse connection of the brain neurons can be simulated directly. That means the DBN can learn a sparse framework and an effective sparse data representation. On this basis, the feature back-tracking technique is put forward. For both the single nucleotide polymorphisms (SNPs) data and MNIST data, FBT has quite well performance on searching for the risk loci on the genes as well as the important sites of the digit data. It reveals that the proposed FBT method can pick out the essential features by deep learning architecture with quite high classification accuracy and data storage ability. Utilizing the sparse layer-wise feature learning to achieve key features from the original data, is an effective attempt to explore the profound mechanism of human brain and interpretability of deep learning.
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation

Generative Adversarial Networks (GANs) have made a dramatic leap in high-fidelity image synthesis and stylized face generation. Recently, a layer-swapping mechanism has been developed to improve the stylization performance. However, this method is incapable of fitting arbitrary styles in a single model and requires hundreds of style-consistent training images for each style. To address the above issues, we propose BlendGAN for arbitrary stylized face generation by leveraging a flexible blending strategy and a generic artistic dataset. Specifically, we first train a self-supervised style encoder on the generic artistic dataset to extract the representations of arbitrary styles. In addition, a weighted blending module (WBM) is proposed to blend face and style representations implicitly and control the arbitrary stylization effect. By doing so, BlendGAN can gracefully fit arbitrary styles in a unified model while avoiding case-by-case preparation of style-consistent training images. To this end, we also present a novel large-scale artistic face dataset AAHQ. Extensive experiments demonstrate that BlendGAN outperforms state-of-the-art methods in terms of visual quality and style diversity for both latent-guided and reference-guided stylized face synthesis.
PEMBANGUNAN SISTEM INFORMASI HYBRID LEARNING PTS XYZ BERBASIS LAMAN

Blended learning or also called Hybrid Learning is conceptualized as a combination of several learning models that include face-to-face learning integrated with learning activities that use computer-based learning media, where the integration of learning concepts aims to optimize learning activities better, learning system users has become a necessity in the world of education, especially in universities. private college XYZ is a campus that already uses online learning. The problem felt by students is not being able to feel the real situation such as communication, interaction. The solution is to make Hybrid Learning more interactive and more tangible because it can communicate, discuss with classmates and lecturers directly. In direct learning like this, students download or look at it first when they want to see a video or learning module, working on material that sometimes students do not really understand the material taught, as well as quizzes. learning by using the PIECES method for analysis, the development of a prototyping system that is supported using laman-based technology by providing various learning information options such as videos and writing that provide information about achievement and learning. This research resulted in the development of learning media with the use of laman-based technology that helps improve learning that is attractive and attractive with a link connected to the YouTube site that explains learning in accordance with the courses taken and choices in learning such as attendance, quizzes, materials and forms. chat, as well as information in the form of learning or education to help lecturers monitor online lectures and help students not be involved in classroom learning. Keywords : Hybrid Learning, Learning , Prototyping
Cybercrime: An Emerging Threat to Banks and NBFCs

Invasion of the digital world has changed the way day to day activities are carried out. India being a country of young digital population with estimated 370 million users making up to about 30 percent of world’s population becomes highly prone to carry out cyberattacks. The article highlights the emerging threat of today’s cyber world known as cybercrime to the financial sector in general and banking in particular.
IMPLEMENTASI APLIKASI E-VOTING PEMILIHAN KETUA BADAN EKSEKUTIF MAHASISWA (BEM) STMIK WIDYA UTAMA MENGGUNAKAN FRAMEWORK CODEIGNITER

Abstract – Voting is a term often used in elections and decision-makin in acommunity, agency, organization and country. This method will usually make it easier to determine the outcome and easier to agree on collectively. When an election is not in accordance with the agreement, voting can be used as a last resort. The election of the Chair of the Student Executive Board at STMIK Widya Utama is still done manually. Students who have the right to vote come to the polling stations then vote or tick the ballot papers and are collected into the ballot box. After the voting process was complete, the committee the began to count the votes. This study designed an E-voting application using the CodeIgniter Framework. This research produces a web application that can be accessed offline, has MD5 security and a more effective calculation so that this application can be accesse easily. This application also has qualified security in accordance with the benefits and purposes of research. In its development, this e-voting application applies the prototyping method which consists of several steps, namely identify basic requirements, develop initial prototype, user review and revice and echance the prototype. This application is tested using the Black Box Testing product test method which is valid and the benefit test is reliable. From the recapitulation of product test values and benefit tests, the highest percentages were obtained in the Useability and Efficiency aspects, namely 96.66% and 92.75%, which means that this e-voting application is easy to use and more efficient fot STMIK Widya Utama students.
PROTECTION OF THE CRITICAL INFRASTRUCTURE – BEHAVIORAL ANALYSIS

The report describes the importance of the critical infrastructure for the normal functioning of the societies. It is essential for the security, defense and wellbeing of the countries, as well as their political and economic life. The material offers a definition of critical infrastructure, the most commonly included sectors and components of it and the concept of a united critical infrastructure between numerous member states. Along that, different challenges for the critical infrastructures are presented:* Threats – natural, human and technical/accidental;* Risks – technological, economic, human-factor, terrorist attacks, criminal actions and cyber-security;* Vulnerable sectors – energy, critical manufacturing, water systems, transportation systems, commercial facilities, chemical, food and agriculture.The report outlines the positive influence of the behavioral analysis in preserving security and defense. It is especially important for overcoming the challenges critical infrastructure is facing. It is a provider of new technology and approach for maintaining security and promoting sustainability.The UK government Project Servator is presented as an example of a good practice in this field. It is designed to be used by trained specialists in crowded places in detection of suspicious or hostile behavior and out of ordinary activities.In addition to project Servator, an Action Counters Terrorism Awareness E-learning project is applied in UK aiming to encourage the citizens to pay attention, efficiently identify unusual behavior and promptly report it. It also provides information what actions should be undertaken in case of bomb threats or weapons attack.Analogically, the USA Department of Homeland Security has implemented “If You See Something, Say Something” campaign. Its target is to raise awareness over the mass public through educational posters and brochures with specific information how to spot abnormal behavior.Moreover, the report presents the NEC’s Behavior Detection system as another good method of managing the security of crowded places which are part of the critical infrastructure. The program is an efficient instrument in spotting suspicious behavior and masked individuals, detecting intrusions to prohibited areas and identifying spaces with concentration of huge amount of people.
Improving Students’ Writing Ability by Using Student Teams Achievement Divisions (STAD) Method

The aims of this research is to find out how Student Teams-Achievement Divisions (STAD) can improve students’ descriptive writing ability of the eighth grade students at Mts Darul Falah Islamic Boarding School, Enrekang in the 2018/2019 academic year. The research employed a quasi experimental. This research used the experimental class and the control class. Class VIII A as an experimental class and class VIII B as a control class. The experimental class consisted of 30 students and the control class consisted of 30 students. The instrument used in this study was writing descriptive papers about classmates and family. The results of the study showed that there was an improvement in students writing ability between pre-test and post-test in the experimental class after treatment. Before conducting the treatment, the value obtained is t0 = 1.570 tt = 2.001 with a significance level of a = 0.05 and df n₁+ n₂ -2 = 58 then t0 is higher than tt which shows a significant influence in improving students' writing ability using the STAD method. In the experimental class was used STAD method and the control class was used the conventional method and the final average score of students in the experimental class is 72.80 > 59.83. The values above indicate that the use of the STAD method significantly improving students writing ability in write descriptive texts
Non-Probabilistic Information Measures of Fuzzy Matrix & their Application in Medical Diagnosis

Non-probabilistic information measures have gained attention by researchers due to their wide range of applications in decision making and data related problems.Keeping in view of non-probabilistic nature of experiment, here some information measures related to fuzzy matrices are introduced and their application for feature selection has been presented. Feature selection can eliminate those features which are irrelevant thus it reduces the dimension and improve the predictive accuracy of decision machining problems related to life involve information which may contain uncertain. In this paper, uncertainty and vagueness deal with fuzzy set theory via fuzzy matrix concept.
The Effect of organizational value and knowledge-oriented leadership on innovation performance with clarifying role of knowledge sharing

Background: In the current environment that is constantly changing and evolving, and the acceleration of community development has resulted in an abundance of information and multiplicity of information sources, the value and importance of concepts such as knowledge management, knowledge-oriented leadership, and innovation have become more and more evident. Purpose: The aim of present study is to invest the impacts of knowledge-oriented leadership and organizational value on innovation performance with clarifying role of knowledge sharing. Method: population of study during this study consisted from employees in public organization in city of Kerman, among which 345 subjects were selected as sample of study through stratifies random sampling way and Cochran's formula. Data gathering tool was a standard questionnaire, whose face validity was confirmed by professors and scholars in this regard. In order to determine reliability, Cronbach alpha coefficient was used. Present study is an applied descriptive survey in terms of purpose and data gathering way. Considered model was explored using structural equations model and software LISREL. Findings: The findings from the statistical model indicate that the proposed model is elegant data and organizational values and knowledge-oriented leadership have a significant positive effect on innovation performance, however, the sharing of knowledge in relation to the role of mediator. Conclusions: In this regard, when the knowledge sharing as a mediating variable in the equation is treated with more power. In other words it can be said that organizational value and knowledge-oriented leadership with role mediator knowledge sharing by increase innovation performance. This research will contribute in increasing the knowledge upon the impacts of organizational value and knowledge-oriented leadership on innovation performance and also indicating the role of knowledge sharing as a psychological mechanism, through which organizational value and knowledge-oriented leadership effects on innovation performance.
Voice privacy in biometrics: speaker de-identification

Chapter Contents: 5.1 Introduction 5.2 How to evaluate speaker de-identification? 5.2.1 Subjective measures 5.2.2 Objective measures 5.3 Speaker de-identification techniques 5.3.1 Codebook mapping 5.3.2 Gaussian mixture model 5.3.3 Frequency warping 5.3.4 Deep learning techniques 5.4 Experiment definition 5.4.1 Piecewise definition of transformation functions 5.4.2 Pretrained transformation functions 5.4.3 De-identification based on DNNs 5.4.4 De-identification based on generative adversarial networks 5.5 Evaluation corpora 5.5.1 Evaluation metrics 5.6 Results and analysis 5.7 Conclusion Acknowledgments References
Kutatási adatkezelést támogató szolgáltatások előkészítése a Szegedi Tudományegyetemen

In autumn 2020, a questionnaire was prepared at Szeged University to examine everyday research data management (RDM) practice among university staff, to get a realistic picture of expectations and needs, and to lay the basis for establishing research data management services. The colleagues were particularly interested in the views of respondents about controversial RDM issues. To compile the questionnaire, the questions and findings of several similar previous surveys were examined and adapted to the specific characteristics and practices of Szeged University. In this paper the lessons learned and experiences gained from the evaluations of the questionnaire are presented. Based on the analysis, it can be said that the questionnaire was a useful tool to get a realistic picture of the current attitude of the diverse research staff of SZTE towards RDM.
The i-adopt interoperability framework for fairer data descriptions of biodiversity

Biodiversity, the variation within and between species and ecosystems, is essential for humanwell-being and the equilibrium of the planet. It is critical for the sustainable development of human society and is an important global challenge. Biodiversity research has become increasingly data-intensive and it deals with heterogeneous and distributed data made available by global and regional initiatives, such as GBIF, ILTER, LifeWatch, BODC, PANGAEA, and TERN, that apply different data management practices. In particular, a variety of metadata and semantic resources have been produced by these initiatives to describe biodiversity observations, introducing interoperability issues across data management systems. To address these challenges, the InteroperAble Descriptions of Observable Property Terminology WG (I-ADOPT WG) was formed by a group of international terminology providers and data center managers in 2019 with the aim to build a common approach to describe what is observed, measured, calculated, or derived. Based on an extensive analysis of existing semantic representations of variables, theWG has recently published the I-ADOPT framework ontology to facilitate interoperability between existing semantic resources and support the provision of machine-readable variable descriptions whose components are mapped to FAIR vocabulary terms. This contribution will focus on how the I-ADOPT framework can be applied to represent variables commonly used in the biodiversity domain.
PEMANFAATAN MEDIA PEMBELAJARAN DI SEKOLAH (Studi Kasus Di Kelas Rendah SD Negeri 1 Pagar Alam)

The purpose of this research is to describe media use planning, describe the media utilization process, evaluate and follow up on the use of low-grade learning media at SD Negeri 1 Pagar Alam. The method used in this research is descriptive qualitative method, data collection techniques using interviews, observation and documentation. The research subjects who became the population in this study were low class (grades 1,2 and 3) while the sample in this study were 3 respondents who came from their respective class teachers. The results showed that the planning, process, evaluation and follow-up in the use of instructional media had been implemented properly. The delivery of teaching materials using learning media is very helpful for students in understanding the material presented by the teacher
Scene Text Component Segmentation Using Hierarchical Distance Slicing

Segmentation of scene text components to recognize the text contained therein is an active area in scene image analysis. In this paper, a new character segmentation method has been proposed for segmenting scene text candidate regions extracted from scene images. At first, original scene text components are converted into binary text components. Then, we apply distance transformation on these components and generate the distance matrix. After that hierarchical distance slices are generated and total number of hierarchical distance slices are divided into different quarters. After slice selection we apply histogram based vertical projection profile to segment the characters one by one. This method is implemented on a dataset of 260 camera captured text components. It has been observed that the proposed method is very effective for adjacent characters which are either closely placed or are overlapping as well as disconnected. Experimental results show an average character segmentation rate of 80.69% for the dataset of closely placed and disconnected characters.
The Impact of Coronavirus Pandemic on Bitcoin: A Literary Overview

Bitcoin has several features that set it aside from traditional currencies. Digital convenience ensures the safety and convenience of Bitcoin users, while decentralization also poses as a primary benefit. Not only does this specific type of cryptocurrency portray many advantages, it also positions several disadvantages as well. Extreme volatility and the impact of negative externalities on the value of Bitcoin contribute to the assessment of Bitcoin trends in the market. The recent outbreak of the coronavirus (COVID-19) has shown evidence of influencing Bitcoin prices as the virus is spread across continents, leaving the global financial environment in turmoil. The classification of Bitcoin as either a portfolio diversifier, a hedge or a safe haven is dependent on various factors, including the global economic uncertainty. Analyzing the literature on the influence of the crisis on the Bitcoin movement will provide an explanation as to why COVID-19 has had such a significant impact on the global financial markets, especially that of cryptocurrencies.