Reviewerly/exHarmony huggingface dataset:
CRITERIA FOR LITERARY DEVELOPMENT OF STUDENTS

Introduction. Qualitative changes in the perception of fiction by schoolchildren of different ages pose the task of methodologists to define the concept of "literary development" and its criteria, which to a large extent should determine the direction and methods of studying artistic works. The methods. Definition of the concept of "literary development" and its criteria, which to a large extent should determine the direction and methods of studying artistic works. Results. Need form validation that would test both knowledge and skills, and yet would contain clear criteria for assessing knowledge and skills of students with different level of training, would be consistent with the concept of school literary education and educational standards in the literature, including "Requirements to level of preparation of students". The main school should form an understanding of the specific laws of literature and the nature of its impact on the reader. In grades 5–9, there is a "systematic accumulation of information and ideas related to the generic, genre and stylistic specifics of literature". A graduate of a basic school should become a reader capable of "artistic perception, their own reflections, experiences, associations". The level of literary development of schoolchildren is closely related to their philological abilities, age and individual characteristics, and the effectiveness of educational activities. The most important quality of the reader – the need to Express a feeling, idea, thought in the word, "germination" words in visual, auditory, and other associations, emotional sensitivity to the word, intonation and style of speech, a holistic attitude to the literary work, a General look at its architecture, the conceptual perception of the composition. Originality. The content of literary education of high school students in accordance with these criteria allows us to speak about their readiness for independent re- search work in literature lessons. Conclusion. The level of literary development of schoolchildren is closely related to their philological abili- ties, age and individual characteristics, and the effectiveness of educational activities. The most important quality of the reader – the need to Express a feeling, idea, thought in the word, "germination" words in visual, auditory, and other associations, emotional sensitivity to the word, intonation and style of speech, a holistic attitude to the literary work, a General look at its architecture, the con- ceptual perception of the composition.
THE ANALYSIS OF IMPACT OF COVID-19 ON RETAIL CONSUMER BEHAVIOR AND BUSINESS MODELS

The study aimed to identify the barriers to the implementation of the e-learning system (Blackboard) among female students at the Community College at Imam Abdul Rahman bin Faisal University To achieve the objectives of the study, the researcher adopted the descriptive approach The study sample which was chosen randomly consisted of (300) female students from the community college at Imam Abdul Rahman bin Faisal University The researcher built the study tool “questionnaire” which covers four areas: Administrative barriers, technological barriers, financial (physical) barriers, and social barriers The data was processed by the statistical method The findings indicated that the areas of the barriers which faces the implementation of the blackboard system among female students at the community college at Imam Abdul Rahman bin Faisal University were as follows: Social barriers which ranked first and with a (high degree) followed by financial barriers (moderate degree), administrative barriers (moderate degree) and the technical barriers (low degree) and with the mean 2 60, 2 20, 2 13 and 1 37 respectively The study recommended promoting the technical aspect in the university through using the blackboard system and providing specialists and technicians with suitable training regarding the use of this system and holding educational sessions for students and community members to enhance the concept of e-learning © 2020 All Rights Reserved
Modifikasi Kunci Algoritma IDEA Menggunakan Random Key Midsquare Pada Citra

A Digital Image may have important information in it where this confidential information should not be seen by unauthorized people. Information in a digital image can be easily remembered by others compared to information in the form of text. For this reason, an image containing information must be encrypted using cryptography, but encoding the image is of course not enough to protect the information contained in it because of the key that may be known by outsiders. To maintain the confidentiality of the information from the image, previously the image will be encoded using the IDEA algorithm, however, the security level of the algorithm should be further improved. Therefore, to improve the quality of digital image security, the IDEA algorithm key is first modified using a Midsquare random number generator. Through the process of the IDEA algorithm which is quite complicated, coupled with the previously modified keys using the Random Key Midsquare random number generator, it is expected to be able to improve the security quality of confidential information encoded in a digital image, so that the information contained in the digital image does not leak to parties. who are not responsible. Keywords : Image, Cryptography, IDEA, Random Key Midsquare
The Use of Predictive Analyzes for University Dropout Cases

We will also derive practical solutions using predictive analytics. And this would include application making predictions with real world example from University of Faculty of Chariaa of Fez. As soon as student enrolled to the university, they will certainly encounter many difficulties and problems which discourage their motivation towards their courses and which pushes them to leave their university.The aim of our article is to manage an investigation of the issue of dropping out their studies. This investigation actively integrates the benefits ofmachine learning. Hence, we will concentrate on two fundamental strategies which are KNN, which depends on the idea of likeness among data; and the famous strategy SVM, which can break the issues of classification.Thanks to predictive analytics, we can come up concrete solutions to decrease this issue. Therefore, our case study was specifically limited to University of Chariaa-Fez, Morocco.
Edge Inference with NEM Relays

Energy efficient implementation of machine learning applications is crucial for attaining cognition at the edge. State of the art systems with Deep Neural Networks (DNN) are memory and computationally intensive impeding its deployment on resource-constrained embedded systems. Building on a hardware-software codesign paradigm for dedicated accelerators with algorithm, architecture and novel device integration allows for an optimized design framework. In this work, we leverage the inherent sparsity feature of neural networks and static nature of the weight memory in the inference mode, to introduce NEMs-based neural accelerator engine. The design achieves 6x better energy efficiency and 3x lower area than conventional CMOS designs.
Bridges between Islands: Cross-Chain Technology for Distributed Ledger Technology

Since blockchain’s emergence in 2008, we see a kaleidoscopic variety of applications built on distributed ledger technology (DLT) today, including applications for financial services, healthcare, or the Internet of Things. Each application comes with specific requirements for DLT characteristics (e.g., high throughput, scalability). However, trade-offs between DLT characteristics restrict the development of a DLT design (e.g., Ethereum, blockchain) that fits all use cases’ requirements. Separated DLT designs emerged, each specialized to suite dedicated application requirements. To enable the development of more powerful applications on DLT, such DLT islands must be bridged. However, knowledge of cross-chain technology (CCT) is scattered across scientific and practical sources. Therefore, we examine this diverse body of knowledge and provide comprehensive insights into CCT by synthesizing its underlying characteristics, evolving patterns, and use cases. Our findings resolve contradictions in the literature and provide avenues for future research in an emerging scientific field.
Visualizing the National Security Information Science Knowledge Network in China

In order to better understand the development process and role of national security information in the field of national security research, this paper analyzes the scientific atlas of national security information from the perspective of overall national security concept, and concludes that the disciplines involved in studying national security issues under overall national security concept include ideological and political theory courses, national security science, security management, national security information science, etc., It points out that the continuous integration of related disciplines promotes the emergence of national security information science as a separate discipline, and points out the research trend of national security information under overall national security concept.
Sistem Pakar Diagnosa Hepatomegali Menerapkan Metode Fuzzy Logic Sugeno

The expert system is one tangible manifestation of the development of artificial intelligence which can be useful in assisting problem solving to obtain effective results in the process of determining a diagnostic decision. The expert system itself adopts expert knowledge in a field then provides diagnostic output in accordance with the expert's knowledge in solving diagnostic problems. The problems raised are the topic of this research to be resolved using an expert system, namely solving the problem of uncertainty in the diagnosis of Hepatomegaly which is experienced by the general public so that it must require the assistance of an alhi who is called an expert in diagnosing Hepatomegaly. Hepatomegaly is an increase in the size of the liver. This condition generally occurs due to disease in the liver, one of which is hepatitis. But it could also be due to other diseases. The expert system method applied in this study is to obtain accurate diagnosis results in accordance with the expert knowledge of diagnosis of Hepatomegaly, namely the Fuzy Logic Sugeno method. Fuzy Logic Sugeno which is used in expert systems in this study works to find an accurate diagnostic solution to the problem of uncertainty in the initial diagnosis of Hepatomegaly. The expert system for diagnosing Hepatomegaly in this study was built using the Visual Basic Net 2008 programming language and using the MySQL database as a data storage space for this expert system. The results of this study are expected to be an alternative application that can solve the problems of diagnosing Hepatomegaly in the future. Keywords : Expert System, Diagnosis, Hepatomegaly, Fuzzy Logic Sugeno
A Study on the Value Added Criterion of Rules of Origin under FTAs with the US and EU: Focusing on Automotive Sector

Purpose - This study deals with a strategic plan for meeting the value added criteria effectively, which is one of the methods of determining origin used in preferential trade such as FTA. Automobile products, one of the major Korean export items, were selected to give a practical use against the FTA requirements. Design/methodology - This study is based on the value-added criteria of the Korea-US and Korea-EU FTAs that apply various value-added criteria. The Korea-US FTA adopts the RVC method based on the integration, deduction and net cost methods, while the MC method is employed in the Korea-EU FTA. The methodology used in this work is an extended literature review, analysis of the value-added criteria applied to automobile products under Korea-US and Korea-EU FTA with some secondary statistics. Findings - Based on in - depth analysis of the value - added criteria requirements for automobile products stipulated in the Korea - US FTA and the Korea - EU FTA, two strategic considerations are suggested. First is ‘appropriate value-added strategy’ and the second is ‘strategy of changing production and trade structure’. The second strategy is a bit used in Korea but this is not considered best if the first strategy is ignored or forgotten. The second one is meaningful when this becomes inevitable. Research limitations/implications - This study is primarily designed to assist Korean auto mobile industry players exporting to EU and USA but this may help to auto part or material producers in FTA counter party territories being EU or USA as the preferential tariffs are applied on a inter region basis. A further research other than auto mobiles using other major FTAs might be followed later. Originality/value - There has been so far little research on strategic factors to meet the value-added origin requirements. This study, therefore, is expected to contribute facilitating the decision of FTA origin and to improve the utilization of FTA by allowing exporting companies using value added criterion to more smoothly meet origin requirements. This will also enable the tax authorities to utilize the value-added criterion to validate effectively the origin of imports where preferential tariffs are applied.
Створення колоди карток з програмування мовою С++ засобами програми Anki

In the article an effective methodology and a deck of cards for remembering English terms for programming in C    language are proposed.  The process of a cards deck creating with programming terms using Anki program is given.
Separation of LS-Epithermal Gold Veins Deposit Alterations by Geophysics in Chucotka Region

Summary A number of epithermal gold-silver deposits are located within Okhotsk-Chukotka volcanic belt (Far East of Russia). LS-epithermal veins with the thickness of several meters can contain up to several hundred tons of gold. The search of covered veins is a complicated task for exploration and it is difficult to solve it without geophysics. The example of successful application of audiomagnitotelluric method in Chukotka region was presented by author. As the result of all data analysis the geophysical prospecting criteria were suggested. Unfortunately, not every found vein is commercial. To increase the chance of finding a new deposit the author set the task to define additional prospecting criteria. The induced polarization (IP) method was used to achieve this goal. The main result of the investigation is that the instrument for separation of alterations types was suggested. The chargeability anomalies at 0.31 Hz and 15 mV/V amplitude are connected with illite chlorite alterations of a deposit core. Illite chlorite alteration of the core deposit is also characterized by high resistivity (up to 2000 Ohm-m) and low magnetic susceptibility. The zones of illite and kaolinite alterations surrounding the deposit core are characterized by reduced electrical resistivity (from 50 to 300 Ohm-m).
Hybrid whale optimisation and β-hill climbing algorithm for continuous optimisation problems

The whale optimisation algorithm (WOA) is an efficient optimisation algorithm inspired by the bubble-net hunting strategy of humpback whale. As any optimisation algorithm, WOA may prematurely converge to suboptimal solutions. This paper introduces a new hybrid WOA algorithm (WOABHC) that efficiently combines the WOA algorithm with the β-hill climbing algorithm (BHC) to control the diversity of the search space. The β-hill climbing algorithm is called at each iteration of WOABHC based on the probability function used in simulated annealing to reduce the number of computations required to achieve a good solution. WOABHC was tested and compared to well-known optimisation algorithms using 25 standard benchmark functions. The experimental results confirm the efficiency of the proposed method in improving the accuracy of the results compared to WOA and other well-known optimisation algorithms.
Do Time Management Factors Impede Students’ Academic Achievement?: A Case-study – Sohar University, Oman

Purpose: The objective of the research study is to critically analyze the factors impeding time management towards students’ academic performance achievement.Design/methodology/approach: The study was carried out using a well-defined questionnaire collecting samples from 164 undergraduate students studying in the Faculty of Business, Sohar University, Sultanate of Oman from a population of 700 undergraduate students. For the study, the cluster-sampling method was adopted. SPSS was used to perform the statistical analysis.Findings: The empirical results reveal that none of the claimed factors related to time management influence the academic performance of the students. The students’ performance is purely based on their efforts and on their own self-management. Thus, it was concluded that it is the responsibility of the students to manage their time for which they should make their own plans.Practical Implications: The study confirms that the student's stay at the hostel facilitates them to improve their academic performances. It is also interpreted that the students are carried away by the domestic work during their stay at home, parents should take utmost not to deprived of their time for study. Parents should make necessary arrangements to reduce their travel time. Students should have their own self-control and self-commitment to manage and plan their own time for study purposes.Originality/value: The research work is of its first kind as it focuses on the impact of time management factors on the academic performances of the students.
BELAJAR BAHASA INGGRIS DITENGAH ISU RASISME MELALUI MEDIA WEBSITE

Batam City is an archipelago that is directly adjacent to Singapore and Malaysia, so English is an important language to learn. Also, English language education during schooling is uneven. The result is that not all people who are looking for work in Batam City can speak English fluently and fluently. Some of them are affected by discrimination, they can meet the requirements, but constrained in English. This program is designed to learn English through online media. The method used is a website platform that contains materials with a 5 Whys approach. The survey results show that the inability to speak English has become part of the discrimination and subject job seekers to considerable difficulties. So, the English learning program through this website platform helps the learning process of English independently and improves competence in English.
Modern Probabilistic Model: Filtering Massive Data in E-learning

So muchinformation keeps on being digitized and stored in several forms, web pages, scientific articles, books, etc. so the mission of discovering information has become more and more challenging. The requirement for new IT devices to retrieve and arrange these vastamounts of informationaregrowing step by step. Furthermore, platforms of e-learning are developing to meet the intended needsof students.The aim of this article is to utilize machine learning to determine the appropriate actions that support the learning procedure and the Latent Dirichlet Allocation (LDA) so as to find the topics contained in the connections proposed in a learning session. Ourpurpose is also to introduce a course which moves toward the student's attempts and which reduces the unimportant recommendations (Which aren’t proper to the need of the student grown-up) through the modeling algorithms of the subjects.
Evaluation Model on the Usage of Java Project Deployment Tool in Open Source Community

Building and managing projects is an integral part of the software life cycle. The use of management tools will affect the cost and efficiency of development. Maven, Ant, and Gradle are specialized tools for building and managing java-related projects. This paper analyzes the efficiency of these tools. In particular, getting information about Java open source projects which built with the project deployment tools Maven, Ant, and Gradle in the GitHub open source community through crawlers. It analyzes the impact of using tools on project development and quality by comparing Java open source projects that use deployment tools with those do not. It tested the following characteristics: average commit velocity, number of bug-referencing commits, number of issues recorded, usage of continuous integration, number of pull requests, and distribution of commits per author, designing evaluation factors such as project influence degree, project activity degree and project popularity degree. At the same time, this paper improved PageRank algorithm to measure the project. It is found that Java projects using Maven tools were relatively rare. In addition, there were very few significant differences in any of the metrics we used to compare Maven-used and Maven-unused projects. Therefore, our results do not reveal any observable benefits from using Maven.
PENGARUH TINGKAT PEMAHAMAN AKUNTANSI, PERSEPSI BIAYA TERHADAP NIAT UNTUK MENGAMBIL SERTIFIKASI PROFESI CHARTERED ACCOUNTANT (CA) DENGAN MOTIVASI SEBAGAI VARIABEL MODERASI

This study aims to examine and analyze the influence of accounting understanding level, cost perceptions ofintentions to take Chartered Accountant (CA) professional certification with motivation as a moderatingvariable. This study uses a quantitative method of associative and verification approaches. The object of thisresearch is the S1 Accounting Study Program students at Muhammadiyah University of Metro. The studypopulation was 406 students. The sampling technique used is purposive sampling, so as to obtain a sample of102 students. Data analysis techniques in this study used descriptive statistics, classic assumption tests,moderated regression analysis, hypothesis testing and coefficient of determination tests. Data were analyzedusing SPSS version 20. The results of this study indicate that: 1) The accounting understanding level did notsignificantly influence the intention to take Chartered Accountant (CA) professional certification, 2) Perceptionof cost had a significant effect on the intention to take Chartered Accountant (CA) profession certification, 3) Motivation was able to moderate the relationship between the level of accounting understanding of intention to take Chartered Accountant (CA) professional certification, 4) Motivation was able to moderate the relationshipof perceived cost to intention to take Chartered Accountant (CA) profession certification.&#x0D;
Commonly used measures and statistical tests.

<title>Abstract</title> There are a number of statistical tests that are frequently used, even by non-specialists. This chapter will cover tests such as Chi-squared, Fisher's exact test, Mann-Whitney U and several variations of the Student's t-test, amongst others.
Predictive Indexes of Tuberculosis Case Under Reporting of Hospital in Kudus, Central Java, Indonesia

Under-reporting case of tuberculosis is patients who are not reported to the national TB surveillance system after diagnosis resulting in an inaccurate estimate of TB burden. This study examined some indicators (indexes) leading to tuberculosis under-reporting case in hospital in Kudus city. This study employed Explanatory mixed-methods design. In quantitative study, it assesses nine indicators of under-reporting tuberculosis case to determine how many indicators relating to under-reporting case. Meanwhile in qualitative study it digs the perceptions and information from medical staffs and doctors of hospital regarding the reasons of chosen indicators of under-reporting case. A multilevel logistic regression analysis was conducted for quantitative data, and content analysis for qualitative data. The findings of the quantitative and qualitative parts of study were mixed at the interpretation. This study showed that some indicators relating to under-reporting case of tuberculosis in the multilevel analysis are: 1) doctors competence (OR=0.09; CI95%= 0.05 to 0.17; p