Reviewerly/exHarmony huggingface dataset:
Prestasi Belajar Siswa Ditinjau Dari Self-Efficacy Dan Lingkungan Teman Sebaya Pada Mata Pelajaran Akuntansi Dasar Siswa Kelas X Akuntansi SMKN 6 Surakarta

This study aims to determine: 1) The Effect of Self-efficacy on Student Achievement in Basic Accounting Subjects in Class X Accounting. 2) The Effect of Peer Environment on Student Achievement in Basic Accounting Subjects in Class X Accounting. 3) The Effect of Self-efficacy and Peer Environment on Student Achievement in Basic Accounting Subjects in Class X Accounting. This research uses a quantitative approach. The population of this study were all 108 students of class X accounting at SMKN 6 Surakarta and a sample of 84 students using proportional random sampling. The technique of calculating data uses observation, documentation and questionnaires. Validity test and reliability test. The prerequisite tests for data analysis included normality, linearity, multicollinearity, heteroscedasticity, and autocorrelation tests. The analysis technique used is multiple regression analysis techniques. The results of multiple regression analysis of the regression equation equation: Y=52,601+0,255X_1+0,542X_2. The results of the hypothesis show that: 1) There is a positive effect of self-efficacy on student learning achievement, with a value of t_count=3.721; t_table =1.989 at the 5% significance level. 2) There is a positive influence of Peer Environment on students' learning achievement, with t_count=6.665; t_table=1.989 at the 5% significance level. 3) There is a positive influence between Self-efficacy and Peer Environment simultaneously on Student Achievement, with a value of 〖R²〗_(y(1,2))= 0.579, F_count= 55.752; F_table = 3.109 at the 5% significance level. Effective Contribution to Self-efficacy is 18.30% and Peer Environment is 39.60%. The remaining 42.1% is likely to be reliable by other variables not examined in this study.
INTERACTIVITY AS AN ESSENTIAL CHARACTERISTIC OF A POLYCULTURAL EDUCATION

The relevance of the research is conditioned by the fact that the matter of human adaptation to conditions of polycultural social environment has not found a conclusive explanation in the known investigations so far. The paper shows that there are discrepancies in the viewpoints of globalists, ethnocentrists, followers of a person’s self-actualization and evolutionists. In this respect the present paper aims at comparative analysis of different theories and experience of polycultural education and development of its essential characteristics from the interactive point of development. The lead approach to the research of the matter is the use of interactive concept of education development, which enabled to consider the role of the ethnic culture, inner culture of a person and intercultural dialogue in polycultural education of the youth in an integrated manner. The specific characteristics of interactivity in a polycultural education, and author’s concept of interaction of the inner culture of a person and cultural differences as a driving force of apolycultural dialogue are specified, and ten dynamic stages of polycultural education implementation in the interactive concept of development are substantiated in the paper. The materials of the paper represent practical value for the teachers of educational institutions in arrangement of a polycultural education of the youth. The use of the proposed concept in educational activity significantly enhances the efficiency of the youth adaptation to communication in a polycultural environment.
Knowledge graph-based document embedding enrichment

Structured and unstructured textual data requires efficient representation for computation and manipulation. Many different methods have been developed to represent text in numerical form. Some of these methods are based only on statistical metrics, and some introduce the concept of word context. Structured textual data about concepts and entities is stored in knowledge graphs for which different numerical representations have been developed. By using the facts about concepts, semantics can be introduced into the representation of documents. We propose an approach that merges the knowledge base induced numerical representation of texts and entities that appear in the texts, induced from knowledge bases. We analyze the proposed method using two use cases. The results show that the use of external knowledge significantly improves the performance of machine learning models. We show that the proposed method outperforms non-enriched representations.
LibGuides: EH501 -- Introduction to Graduate Study in English: Home

This LibGuide is the companion guide to the EH501 course offered by the English Department at Jacksonville State University. It is intended for graduate students and rising professionals in the field, and its content may be used to complement other EH cou
Investigating the Implementation of Augmented Reality in Logistics

The rise of the new industrial era has brought about the need for adopting new technologies, digitization, automation, and improving the industrial internet of things. With the introduction of Indu ...
Application of Machine Learning in Classification and Prediction of Breast Cancer

Cancer misdiagnosis is extremely common. We attempt to build different machine learning models that can predict occurrences of cancer traits in a patients. Being said that cancer is often misdiagnosed, when it comes to cancer, spotting the disease earlier can quite literally mean the difference between life and death. Predictive models obtained by using machine algorithms may be a key in such cases. This can be used by any medical institutes for faster, economical and accurate cancer diagnosis. Machine learning incorporates varieties of statistical, probabilistic and optimization techniques that allow computers to “learn” from past examples and to detect hard-to-diagnosed patterns from massive, noisy or complex datasets This project allows us make fast, real-time and accurate diagnosis and prediction of breast cancer. The software uses support vector machine algorithm to do the prediction and diagnosis of breast cancer. The simplicity and almost accurate results for support vector machine algorithm is very suitable for implementation.
Έξυπνοι τρόποι παροχής cloud υπηρεσιών

The frantic pace of technology development over the last two decades has provided more and more possibilities to consumers, many of which would have been a science fiction scenario before they were implemented. This rapid development has also reduced the cost of these technologies, which now makes them a very useful and easily accessible tool for everyone.The possibilities offered by low cost information technologies are quite tempting. One of these technologies is Cloud computing technologies. The use of these technologies ensures for businesses a reduction in operating costs associated with the management of hardware and software resources. In addition, these technologies can be considered as a basis for radical business innovation and new business models, as well as for significant improvements in the efficiency of anyone who uses them. Cloud computing technologies or otherwise cloud computing is considered a new field of computing, which provides additional perspectives on networking technologies. It essentially gives new possibilities in terms of architecture, design and implementation of existing networks and data centers. In short, cloud computing technology is any software we use, but it does not run locally on our computer, but on the internet. Thus, over the Internet, Cloud Computing technology provides easy access to a pool of computing resources through which computing, resource use and software development, information access and data storage services are located in a cloud. There is therefore talk of a new technological development based on the idea that data and applications can be stored centrally and distributed over the internet.But like any new technology, cloud computing takes some time to gain the trust of consumers and prove its benefits and reliability. In this case this time period was quite long as the cloud computing was first introduced to the general public in the middle of the last decade and it took more than ten years to fully establish itself in the consciousness of people as an essential tool for any organization that manages large volumes of data and services.However, this period is further extended in the case of public organizations, which, in contrast to private individuals whose sole purpose is to increase profits, are generally reluctant to innovate in any way. So in the case of cloud computing, which although it is now established as a necessary element of any large company, it is nevertheless rare in public organizations.The aim of this dissertation, then, is after a study carried out for the existing infrastructure of the University of Patras, in combination with the study of cloud computing projects in public organizations by the company Space Hellas, to research and evaluate the prerequisites, conditions, material equipment and the benefits of transporting the University infrastructure to the cloud.
Introducing a Machine Learning Password Metric Based on EFKM Clustering Algorithm

we introduce a password strength metric using Enhanced Fuzzy K-Means clustering algorithm (EFKM henceforth). The EFKM is trained on the OWASP list of 10002 weak passwords. After that, the optimized centroids are maximized to develop a password strength metric. The resulting meter was validated by contrasting with three entropy-based metrics using two datasets: the training dataset (OWASP) and a dataset that we collected from github website that contains 5189451 leaked passwords. Our metric is able to recognize all the passwords from the OWASP as weak passwords only. Regarding the leaked passwords, the metric recognizes almost the entire set as weak passwords. We found that the results of the EFKM-based metric and the entropy-based meters are consistent. Hence the EFKM metric demonstrates its validity as an efficient password strength checker.
Generating Synthetic Schematics with Generative Adversarial Networks

This study investigates synthetic schematic generation using conditional generative adversarial networks, specifically the Pix2Pix algorithm was implemented for the experimental phase of the study. ...
THE IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEM (LMS) AT PARAHIKMA INSTITUTE OF INDONESIA: CHALLENGES AND EXPECTATIONS

The research aimed to find out students access and ease in using technology, the matches and mismatches of the challenges and expectations of using LMS perceived by the students and the lecturers at Parahikma Institute of Indonesia. This research applied exploratory sequential mixed methods research. By using purposive sampling technique, the researcher selected 16 students from the 6th semester of English Education Department and 4 lecturers who used LMS in their teaching learning process. The data were obtained through questionnaire and in-depth interview. The findings related to the students’ access showed that they had highly experienced in using technology and felt comfortable in using LMS. The students and lecturers face the same challenges namely unstable bandwith connection and less of personal time management while their same expectations were infrastructure and internet connection which needs to be improved, and there should be a big capacity in LMS for uploding files. The mismatch of challenges in using LMS were (a) no direct assignments notification via SMS, (b) lecturer’s lack of feedback on assignments, (c) lack of training for the students, (d) not compatible features in certain assignment, and (e) less of budget for internet data. Meanwhile, the students’ expectations were that there should be LMS application on Google Play, direct assignment notification via SMS, and lecturers’ feedback on uploaded assignments. In contrast, the lecturers’ expectations were all of materials at IPI should be provided in the LMS before the courses, and a lot of trainings for students in using LMS.
STUDENTS’ CHALLENGES IN LISTENING IN VIRTUAL CLASSROO; CASE STUDY IN ENGLISH EDUCATION STUDY PROGRAM IN COVID-19

The objective of this study was to know the empirical evidence about the use of short story on students’ vocabulary achievment in the seventh grade of SMPN 5 Belawang. This study was held in May 2020 at SMPN 5 Belawang. The method used in this study was quantitative method and research design was pre experimental. The sampling technique used in this study was Sampling technique. The researcher took one class as the subject of this study that was VIIA class. The researcher had compared the pretest score before treatment was given and after the treatment was given. The result of gained score of pre-test and post-test in the experiment was 39.2 and.704 For the testing hypotheses was analyzed using t-test formula. The researcher used SPSS v.16 for windows program which is Paired Sample Test. The calculation of vocabulary test result between the pre test and the post test can be seen from result of t-test of this research, and the result is 12.34. The result of t-table is 1.319, it can be seen df 39.5. Ho is rejected, and the Ha is accepted because 12.34> 1.319 or the t-test > t-table. It can be concluded that the use of short story is effective on students’ vocabulary achievment in the seventh grade of SMPN 5 Belawang.
Fast Hybrid Cryptosystem for Enhancing Cloud Data Security Using Elliptic Curve Cryptography and DNA Computing

Now a day’s Security in cloud computing is one of the broad areas for researchers. Cloud computing is a term that involve to deliver the services over the Internet. So, it requires the security upgrade in data transmission approach. One of the ways by which data in the Cloud be secured is cryptography. In fact, the high-quality cloud security can be achieved by efficient encrypting techniques. This paper investigates how the integrity and secure data transfer are improved based on the Elliptic Curve cryptography and DNA computing. Many researchers have tried to exploit the features of ECC field for security applications. In this paper, we attempt to develop a fast hybrid cryptosystem based on Elliptic Curve and DNA computing for providing security service such as confidentiality in the cloud services. The security of the proposed scheme is based on Elliptic Curve Discrete Logarithm Problem (ECDLP). Existing DNA based cryptography technique need more computational power and more processing time with larger key sizes to provide higher level of security. The main goal of our construction is to enhance the security of elliptic curve cryptosystem using DNA Computing. In this approach data stored on the cloud server in the encrypted form and even if data is accessed by the attacker, the attacker can't get the current data.
LibGuides: Online Safety, Security, and Privacy: Security Questions and 2FA

This guide looks at the concept of general online safety and security. This page will cover some basics for security questions and 2FA.
IMPELEMENTATION OF SELF-REGULATED LEARNING ON JUNIOR HIGH SCHOOL STUDENT OF LOW SOCIOECONOMIC STATUS

The purpose of this study was to determine the application of self-regulated learning interventions to increase learning motivation and learning abilities in junior high school students who come from families with low socioeconomic levels. The intervention was given for five sessions through psychoeducation and assignments. The subject of this study is a male, 15 years old. This study uses a qualitative method with a case study approach. Data analysis using triangulation techniques. The results of the analysis of observations, interviews, and assignment documents show that there are differences before and after the subject was given intervention. In general, self-regulated learning intervention has a positive impact on learning motivation and learning abilities of the subject. Several factors that support and inhibit intervention were explained. Some suggestions are given to develop the further intervention.
Exploring new interaction possibilities for video game music scores using sample-based granular synthesis

For a long time, the function of the musical score has been to support activity in video games, largely by reinforcing the drama and excitement. Rather than leave the score in the background, this ...
Feature Analysis Detection Algorithms-Review Paper

Back within the 1950s, Minsky and McCarthy described AI as any task performed by a program or a machine that, if a person administered an equivalent activity, we can say that he had to use his intelligence to accomplish the task. Neural networks help us to train and process Machines. These are brain-inspired networks of interconnected layers, called neurons, that feed data into one another. During the training of those neural networks, the weights attached to different inputs will still be varied until the output from the neural network is extremely on the brink of what is desired, at which point the network will have 'learned' the way to perform a specific task. A subset of machine learning is deep learning, where neural networks are expanded into sprawling networks with an enormous number of layers that are trained using massive amounts of knowledge. It is these deep neural networks that have fuelled the present breakthrough within the ability of computers to hold out tasks like speech recognition and computer vision.
Sustainable Development And Education In The Conditions Of The Uncertain World

A rapidly changing society creates uncertainty about the future of humanity; it affects the state of society and the processes taking place in it, including education development.Now the question about the direction, which the society will develop, and the role of education in this process becomes especially important.Politicians, sociologists, philosophers concern about the respond of humanity to global challenges and risks; the issue of sustainable development of society becomes relevant and topical.Modern pedagogy tries to comprehend these problems, developing ideas about teaching approaches, by searching for the new pedagogical technologies and teaching methods.At the same time, it is no longer possible to ignore the transition to post-industrial society in pedagogical research, however, attempts to comprehend and justify the changes are made using the existing methodology relating to the modern era.Postmodern ideas only begin to be reflected in the concepts of education in the modern world.
Order-Finding and Factoring

The inverse quantum Fourier transform and the quantum Fourier transform are the quantum circuits of implementing the Fourier transform and they can be applied to solve a variety of interesting questions.
The problem of analysing the relationships between individual characteristics of individuals with COVID`19

The paper proposes the development of an approach to modelling the nature of individual morbidity based on the Big Data approach Analysis of large amounts of data requires the definition of groups of attributes that form functional dependencies However, in real datasets obtained from different sources, important relationships are defined only for a subset of attribute group values There are relationships, for example, between previously transmitted diseases and the nature of the disease now - such a relationship is established between subsets of values of different tuples and cannot be found existing methods of searching for hidden data The authors will call such dependences partial functional dependencies Accordingly, the level of support for such dependencies is low, which does not allow to use them for further data analysis At the same time, partial functional dependencies are modified associative rules, but they are executed only for a part of the data and depend on the time factor The method of finding such dependencies will be based on the modification of the method of associative rules, which allows to reduce the time complexity and to use parallel and distributed mode for calculation © 2020 Copyright for this paper by its authors
Retaining and Promoting Practices in Basic Education: Case of a Countryside School in Samar

The study was conducted to identify the reasons for having learners who performed poorly in a higher grade-level in education today. A total of 20 teachers were interviewed face-to-face using a guided questionnaire from the two public schools; one is an elementary and another a junior high school. The study confirmed that most of the teachers encountered some students enrolled in their class who posses competences not appropriate for their levels. They also shared that all of them have experienced promoting a student to the next level even if the student has not attained the required over-all proficiency. Adjusting student rating to attain passing score is the primary strategy, followed by providing a bigger rating in performance, and adjusting the rating standards like making questions/activities easier/less challenging were few os strategies used by the teacher to promote unqualified students. Other than the No-Child-left-Behind policy; the zero drop-out policy verbally imposed on them by their heads are some of the reasons the teachers shared.
Blockchain Technology and its Application in theFinance and Economics

As a new technology, blockchain can be used to analyze and process the data through the effective integration of financial resources. New financial formats or service models are produced to upgrade the financial system and promote the efficiency and quality of financial operations and service from three layers: data, rules and application, based on customers' needs. The blockchain technology can help the financial industry to automatically and accurately identify customer credit conditions, restructure the financial market credit system, and improve the efficiency of cross-border payments. It also posed a challenge for the financial industries' development. In this paper, we systematically analyzed the blockchain technology and its application in the financial and economic domains. With the introduction of blockchain technology in banking operations, the possibility for banks to grant nonperforming loans is reduced, thus improving their effectiveness. Using the possibilities offered by the new technology will not allow a situation in which the bank should go bankrupt. Among the other advantages offered by this technology is the great acceleration of the international transfer of funds, which can be done in a few minutes, and in traditional banking, it takes several days in developed economies or even more so in developing countries.
Home: Collection Development Policy: Collection Maintenance & De-Selection

This guide outlines the Ike Skelton Combined Arms Research Library's Collection Development Policy.
Sentiment classification of Swedish Twitter data

Sentiment analysis is a field within the area of natural language processing that studies the sentiment of human written text. Within sentiment analysis, sentiment classification is a research area ...