Reviewerly/exHarmony huggingface dataset:
Performance Analysis of Adaptive Neuro-Fuzzy Inference System (ANFIS) With Subtractive Clustering In the Classification Process

Adaptive neuro-fuzzy inference system (ANFIS) is a combination of artificial neural network and fuzzy inference system (FIS) techniques. ANFIS is used to significantly improve the results of the classification process, while substractive clustering is a method of grouping based on the potential density of the data to calculate the cluster center to the surrounding data points. With substractive clustering, large datasets are divided into groups and determined radii are also called cluster radii. The cluster radius serves to determine the area of influence that has a value between 0 and 1. The results of this study use the FIS substractive clustering parameter to minimize mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE) with maximum epoch 1000, target error=0.01. Testing training data 60% of the dataset values, MSE=192750.4593, RMSE=439.0336 with epoch 369, and MAE=0.00012481 with epoch 94, radius=0.3 squash factor=1.5, accept ratio=0.7, reject ratio=0.35. Testing data testing 40% of the MSE dataset=205013,853, RMSE=452.7846 at epoch 49 and MAE=2.33968 at epoch 51, radius=0.9 squash factor=1.25, accept ratio=0.5, reject ratio=0.25. Testing uses 70% training data and 30% testing data from the dataset. In the 70% training data test, the minimum MAE value=0.00010119 with the radius value=0.2, accept ratio=0.3, reject ratio=0.15 and squash factor=1. 30% testing data test obtained the MAE drinking value=0.060341 with a radius value=0.1, accept ratio=0.7, reject ratio=0.35 and squash factor=1.5.
CYBER SECURITY IN IT MODERN ERA

Cyber security is the activity of protecting information and network computer system database and technical security measures. Firewalls antivirus and others. This paper gives a broader view of very important aspects ofhuman security in today’s world’s globalization and cyber security. The role cyber security in the Information Technology is delt in this paper. Cyber security can be achieved only by the systematic development; it cannotbe modified through seat-of-the-pants methods. Applying software engineering techniques to the problem is the right direction. Software engineers need to be aware of the risks and security issues associated with the design, development, and deployment of network-based software. This paper introduces some known threats to cybersecurity, categorizes the threats, and analyzes protection mechanisms and techniques for countering the threats. Approaches to prevent, detect, and respond to IT requirements.Keywords: Cyber Security Infrastructure, Cyber Theft, Malware, Encryption, Cyber Threat.
Analysis of Elementary School Students' Emotional Experience in Science Education Center for Gifted Affiliated with University

본 연구는 초등과학영재들의 대학 부설 영재교육원 수업에서의 나타나는 정서 경험의 특성을 분석하기 위하여, 2018년 C대학교 초등과학반 학생 30명이 작성한 24개 주제에 대한 341개의 학습결과보고서 내용 중에서 514개 문장을 분석하였다. 해당 보고서는 학생들이 매 수업이 끝난 뒤에 자신이 느낀 점과 수업에 대한 간단한 평가를 적은 것으로, 해당 진술문을 정서 경험 요소와 관련 요인으로 구분하여 분석하였다. 그들의 주요 정서 경험 요소로는 재미, 좋음, 흥미, 신기, 유능감, 즐거움, 유익, 가치, 아쉬움, 어려움이 나타났다. 이와 관련된 요인으로는 새로운 것 알기, 도전 과제, 심화, 만들기, 실험, 관련성, 친밀감, 쉬운 설명, 소극적 태도 등이었다. 이를 크게 관련 요인으로 구분하면, 학습 과제 요인(88.7%, n=456), 학생 요인(6.1%, n=31), 교사 요인(5.2%, n=27)이었다. 주요 요소로는 재미(27.6%, n=142), 좋음(21.6%, n=113), 흥미(19.8%, n=100)였으며, 주요 요인으로는 새로운 것 알기(24.9%, n=128), 실험 활동(20.6%, n=106), 도전 과제(14.8%, n=76) 등이 있었다. 이를 행렬 분석을 실시한 결과, 대학 부설 과학영재교육원의 주요한 정서 경험은 재미, 좋음, 흥미, 신기였으며, 주요 관련 요인으로 새로운 것 알기, 실험 활동, 도전 과제, 심화 학습이었다The aim of this study was to analyze the characteristics of elementary school students’ emotional experience in science education center for gifted affiliated with university. 514 sentences in 341 lesson reports on 24 topics written by 30 elementary school science gifted students in science education center for gifted affiliated with C university were analyzed by emotional elements and relevant factors in lessons. The reports described students feelings and brief evaluations of the lesson. The results showed that the elements of emotional experience were fun, good, interest, curiosity, efficacy, pleasure, benefit, value, disappointment, and difficulty. Relevant factors included knowing new things, experimental activities, challenging tasks, enrichment tasks, making, relevance, intimacy, easy explanations, passiveness and so on. The main factors were related with learning task factors (88.7%, n = 456), student factors (6.1%, n = 31), and teacher factors (5.2%, n = 27). The main elements were fun (27.6%, n = 142), good (21.6%, n = 113), interest (19.8%, n = 100), and the main factors were knowing new things(24.9%, n = 128), experimental activities(20.6%, n = 106) and challenging tasks(14.8%, n = 76). As a result of matrix analysis the major emotional experiences in the center were fun, good, interest, and curiosity, the main relevant factors were knowing new things, experimental activities, challenging tasks, and enrichment learning.
Espionage, the First Amendment, and the Case Against Julian Assange

In May 2019, a federal grand jury returned an eighteen-count criminal indictment against WikiLeaks founder Julian Assange. 1 Charges include conspiring to obtain national defense information, obtai...
Deploy Containerized Applications with Azure Kubernetes Service (AKS)

So far, we have covered the two main container services on Azure, and now we will move to the third service, which is considered an enterprise-ready solution. In this chapter, we will take a deep dive into the Microsoft Azure Kubernetes Service (AKS) and learn how to deploy and manage containerized applications with AKS. AKS is the most complex container service in Azure, and I recommend you follow all steps in this chapter.
Pentingnya Pengaruh Fasilitas Belajar Terhadap Prestasi Belajar Siswa

Abstract: Education is a conscious and planned effort to create an atmosphere of learning and learning process so that students actively develop their potential to have spiritual spiritual strength, self-control, personality, intelligence, noble character, and the skills needed by themselves and the community. Basically every child has the right to education. This is stated in the 1945 Constitution of the Republic of Indonesia which has been amended, Article 31 on National Education. The success of education can be seen from the learning achievements of students at school. Learning achievement is a reflection of the student's learning effort. Learning achievement is the mastery of knowledge or skills developed by subjects, usually indicated by test scores or grades given by the teacher. Student achievement is influenced by two factors, namely the subject of learning, including talent, interest, learning activities, learning motivation, intelligence or intelligence, and factors from outside students namely the environment, ways of learning, curriculum, teaching programs and learning facilities adequate. Learning facilities have a role and influence in the achievement of student learning achievement. Facilities in an educational institution are an important part that needs attention. Thus, the importance of the effect of learning facilities on student achievement. Educational facilities include all the facilities needed in the teaching and learning process both mobile and non-mobile so that the achievement of educational goals can run smoothly, regularly, effectively, and efficiently so that students can achieve optimal learning outcomes. Keywords: learning facilities, learning achievement.
GENDER AND LANGUAGE POLITENESS

The aims of this article are to describe gender and language politeness which examines the description of relation of gender and language politeness in the form of speech acts based on gender. The method used in this research is descriptive qualitative. The technique used in collecting data through direct observation, recording, and recording. Determination of the compliance and deviation of the principle of politeness of language is based on indicators of politeness of language derived from Leech's theory. The technique of data analysis in this study is the transcription of data from the records; identify, classify and draw conclusions. Article visualizations:
Troubleshooting Containers and Containerized Applications on Azure

In this chapter, we will learn how to troubleshoot our container services in Microsoft Azure in case things are not working as we think they should.
TRENDS IN THE TRAINING OF IT SPECIALISTS: EXPERIENCE OF INTERUNIVERSITY COOPERATION

The active development of information technology determines the need to ensure the supply-demand balance of labour in the labour market. In modern conditions, it is necessary not only to increase the output of specialists with IT knowledge and skills, but also to orient all students, regardless of specialty, to receive other flexible digital skills. The main aim of the research study is to justify the need for the priority development of IT specialties and flexible digital skills in higher educational institutions, to identify its main trends at Polotsk State University, in the framework of cooperation with Rezekne Academy of Technologies, in particular. The research methodology is based on the principles of system analysis, formal logic and an interdisciplinary scientific approach. The novelty of the research is to generalize the unique experience of training specialists at the Faculty of Information Technology of Polotsk State University, based on the practical orientation of the learning process. In addition, the paper provides information characterizing the development trends of the IT sector in Belarus. The following recommendations are proposed: 1) the implementation of the principle of building up cross-functional skills by students at the first stage of higher education, and then this is a deep specialization of the workforce throughout life; 2) the use of creative educational technologies; 3) the creation of a web tool that implements the task of creating flexible digital skills among the population of older working age and children through training in the Republic of Latvia and the Republic of Belarus; 4) the implementation of joint educational programmes with a double diploma.
EMS: AN ENHANCEDMERGE SORT ALGORITHMBY EARLY CHECKING OF ALREADY SORTED PARTS

Merge sort is one of the asymptotically optimal sorting algorithms that is used in many places including programming language library functions and operating systems.In this paper, an enhanced merge sort algorithm (EMS) has been presented, which in practice shows substantial improvement in running time than the top-down and bottom-up implementations of the classical merge sort.EMS works as a bottom-up manner and the modifications happen in three places: (a) given n elements in an array, first, the algorithm considers the array as n/2 consecutive pairs and sorts each pair in-place by one comparison; (b) in subsequent steps, during the "merge" process of two subarrays, if the last element in the left subarray is smaller than the first element in the right subarray, the algorithm simply returns; and (c) if the last element in the right subarray is smaller than the first element in the left subarray, then the algorithm swaps the elements in the two subarrays by their entirety.Steps (b) and (c) happen in-place.For the case not in (b) or (c), the algorithm follows the classical merge technique with an extra array.Experimental results show that case (b) and (c) happen a good amount of time in practice and that is the reason that EMS gives better running time than the classical merge sort.
Personalized Network Learning Recommendation System Algorithm for Deep Learning Mode in Grid Environment

With the continuous development of Internet technology, the phenomenon of information overload has appeared in the course learning resources in the network, which increases the difficulty for students to acquire learning resources. To this end, the distributed processing center is built in the grid environment, which enhances the efficiency of data collection and data mining. Combined with the deep learning training mode, the scoring matrix of students and curriculum resources can be effectively obtained, and the scoring matrix is similar. The calculation establishes a recommendation queue for personalized learning recommendation, and finally recommends through the information in the recommendation queue, which effectively improves the accuracy and efficiency of personalized network learning recommendation.
Efficient Multi-Secret Digital Images Steganography

The new conceptions of more than one secret message and false digital image steganography are presented in the current paper.One of the major ideas in these approaches is embodiment of more than one message in one container (digital image).The secrets that are hidden are known as real and false messages.The former one includes basic data that should be transferred between various parties in a secure manner.The second one is a bait for in order to focus attention on a non-important message.When it is discovered that there exists the actual information, this false and multiple data hidden steganography is cracked, regardless of detection of false message.Many various applications can be found for these concepts, particularly in situations that there is close monitoring over the communication channel between a receiver and a sender and there is suspicion of using steganography.In this case, probably the transferred data would be examined in detailed.The concepts that are defined in the current paper would be helpful for overcoming this problem through ignoring an invented message and thus, deception of the warden.It can be perceived as an additional benefit that it is possible to send both false and real data at the same time.The presented idea actually gives the opportunity of the establishment of a subliminal channel during the transfer of hidden information by the use of digital images.
Exploring Useful Built-in Modules

Years ago, while assisting a client with a Perl program, the client demonstrated a function that he was very proud of. The purpose of this function was to overcome the limitations of Perl and allow for larger floating point numbers. The code itself was a few hundred lines long, took weeks of work, and was still a bit buggy.
Intermediate Regular Expressions

Many people consider Perl to stand for Practical Extraction and Report Language. This isn't strictly true as Larry Wall originally wanted to call the language Pearl, but he discovered there was already a language that went by that name (PEARL, or Process and experiment automation realtime language, a language created about ten years before Perl).
Celebrating 34+ years of Paul Hewitt’s “Figuring Physics”

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Makerspace Participation: Which Students Visit, Return, and Why?

Makerspaces are becoming increasingly common facilities in engineering departments and universities across the country.Facility stakeholders, including students, professors, and university administration, hold many assumptions about the benefits and importance of the spaces, but little research has been done to quantify student usage and to evaluate participation within these spaces.This is especially important to understand given the interdisciplinary and multipurpose nature of these facilities.In this paper, we seek to understand which undergraduate engineering students use the Makerspace and what factors influence their likelihood to return.In partnership with a Makerspace at a large, public institution in the Southwest, we analyzed nearly 29,500 sign-in entries from 4,230 unique participants.Log-in information from these students included an open-ended response to their reason for visiting the facility, which was coded into five categories.We provide descriptives by major of the students, who visited the Makerspace within a two-year period, as well as results of chi-square analyses to determine differences in use of the Makerspace and results of logistic regression to determine the probability of students' return.Analysis of this data begins to uncover the ways in which undergraduate students engage with Makerspaces and illuminates differences in behavior between majors.Further research should investigate the reasons behind these patterns and possible barriers to entry.
The Effect of Vocabulary Overlap on Linguistic Probing Tasks for Neural Language Models

Recent studies (Blevins et al. 2018, Tenney et al. 2019, etc) have presented evidence that linguistic information, such as Part-of-Speech (PoS), is stored in the word representations (embeddings) learned by neural networks, with the neural networks being trained to perform next word prediction and other NLP tasks. In this work, we focus on so-called probing tasks or diagnostic classifiers that train linguistic feature classifiers on the activations of a trained neural model and interpret the accuracy of such classifiers on a held-out set as a measure of the amount of linguistic information captured by that model. In particular, we show that the overlap between training and test set vocabulary in such experiments can lead to over-optimistic results, as the effect of memorization on the linguistic classifier’s performance is overlooked. We then present our technique to split the vocabulary across the linguistic classifier’s training and test sets, so that any given word type may only occur in either the training or the test set. This technique makes probing tasks more informative and consequently assess more accurately how much linguistic information is actually stored in the token representation. To the best of our knowledge, only a few studies such as Bisazza and Tump (2018) have reported on the effect of vocabulary splitting in this context and we corroborate their findings. From our experiments we found that incorporating such a technique for PoS classification, clearly shows the effect of memorization when the vocabulary is not split, especially at the word-type representation level (that is, the context-independent embeddings, or layer 0). For our experiments, we trained a language model on next-word-prediction. We then extracted the word representations from the encoder, for all the layers. These representations are then taken as the input to a logistic regression model, that is trained on PoS classification. The model is run for the two different settings: with and without vocabulary splitting. Finally, the output is analysed and compared between the different split settings. Across all layers, the full vocabulary setting gave high accuracy values (85-90%), compared to when the vocabulary split was enforced (35 – 50%). To further substantiate that this is due to memorization, we also compared the results to that from a LM with randomly initialized embeddings. The difference of around 70% further suggests that the model is memorizing words, but not truly learning syntax. Our work provides evidence that the results of linguistic probing tasks only partially account for the linguistic information stored in neural word representations. Splitting the vocabulary provides a solution to this problem, but is not itself a trivial task and comes with its own set of issues, such as large deviations across random runs. We conclude that more care must be taken when setting up probing task experiments and, even more, when interpreting them.
Restructuring 19th Century Students’ Idea in Positivist Curriculum Using Drawings’ Analogies

Four students’ teachers in Master Science program were subjected to instruction that aimed to master the suitable strategies in changing misconceptions. The most active and verbal student in the class had been subjected to autobiographic case study; he had been asked to write a journal including the followings: A. The most complicated idea, he believed to work as a critical barrier in understanding revolutionary type of science. B. The reason for such misunderstanding and C. The teaching strategy, he believed, to help in making successful restructuring to his concept. Student’ journal shows the followings: A. The existence of empty space between particles - moving in all directions-was the most complicated idea to be difficult to grasp; there was misunderstanding that changing in atmospheric pressure by changing latitude is due to the change in the accumulated continuous air forces that are implied on the square centimeter of flexible wall (football in this case). B. It had been indicated that such misunderstanding, on behalf of students, was due to the fact that 19th century positivists assumptions about nature of matter (that had been adapted by science educators), had led to establish instruction on discovery methods to prove those historical ideas. C. It had been pointed out that using analogies’ drawings rather than videos, to distinguish between alternative ideas and the scientific ones had helped in restructuring erroneous ideas. D. It had been pointed out that presenting a comprehensive view that takes into account all factors to explain a given phenomena, in which the pressure concept is linked to the gravity, and the atmospheric components theme, is of great importance in restructuring ideas
VISION OF INTEGRATIVE APPROACH TO TEACHING STUDENTS OF PHILOLOGY IN HIGHER TECHNICAL EDUCATIONAL INSTITUTIONS

Vision of integrative approach in higher education as the methodological basis of teaching students at universities has been carried out. It was highlighted that to learn foreign languages technical higher institutions are chosen by applicants. Based on domestic and foreign science’s investigations educational perspective to integrative approach in education has been described. It was summarized that integrative approach fixed in time and place in the context of scientific redefinition and revival of theoretical multiplicity of pedagogy assimilates traditional content of modern education, provides the quality of modernized education. It has been highlighted that integrative approach is the basis of the unity of sectoral knowledge and foreign language competence as the asset of student’s knowledge. It is emphasized that integrative approach is the conceptual element of universal theoretical model of higher education that regulate: educational curricula within the specialty; integrative training courses; textbooks and training manuals in translation. All these factors further to get transferable abilities. It has been proved that there is a great number of components integrate in teaching students of philology: great deal of content (foreign language, sectoral vocabulary, translation, methods of teaching English in higher and secondary education, psychological and pedagogical knowledge); innovative methods and techniques of providing foreign and translation competence; informative content; legal and legislative support etc. These components denote the perspectives of integrative approach as an object of scientific investigation. It has been investigated that young people, choosing philological education in higher technical educational institutions, evaluate advantages of transferable abilities, which strengthen the competitiveness of professional, expand the sphere of demand for the professional, assist to fulfil the ambitions