Reviewerly/exHarmony huggingface dataset:
Can a Machine Be Intelligent? The New Concept of Intelligent Machine

The article deals with current problems of IT and sets up a new view of semantic memory as a base for artificial intelligence system. The explanation of object defined as a language, not as a data, leads to linked semantic objects and memory sizing paradox.
CTM means contra-temporal movement

A fresh spin on time travel. A fresh spin on time travel.
Cosmic Microwave Background

This new graduate textbook adopts a pedagogical approach to contemporary cosmology that enables readers to build an intuitive understanding of theory and data, and of how they interact, which is where the greatest advances in the field are currently being made. Using analogies, intuitive explanations of complex topics, worked examples and computational problems, the book begins with the physics of the early universe, and goes on to cover key concepts such as inflation, dark matter and dark energy, large‑scale structure, and cosmic microwave background. Computational and data analysis techniques, and statistics, are integrated throughout the text, particularly in the chapters on late-universe cosmology, while another chapter is entirely devoted to the basics of statistical methods. A solutions manual for end-of-chapter problems is available to instructors, and suggested syllabi, based on different course lengths and emphasis, can be found in the Preface. Online computer code and datasets enhance the student learning experience.
A STUDY ON MASTERY OF USING PLURAL NOUNS

The objective of the research was done with 20 students of Escola Tecnico Vocacional de Hospitalidade e Turismo Becora - Dili to answer the following questions as in the statement of the problems; (1) Have the students of Second Grade Escola Tecnico Vocacional de Hospitalidade e Turismo Becora - Dili mastered plural nouns? (2) What is their level of mastery? The method that used in this study was the qualitative method to describe the students’ level of mastery in using plural nouns. In order to analyze the students’ level of mastery, the researcher administered the test to the students with the total number of test were 40 numbers of multiply choices. Based on the data analysis of the result of conducting research showed that the second grade students of Escola Tecnico Vocacional de Hospitalidade e Turismo Becora - Dili in the school year 2019 have mastered in using Plural nouns. Their level of mastery in using plural nouns was 81.5% which classified as GOOD level.    Lastly the writer would like to recommended to the local English teachers and students that the teaching and learning of English plural nouns must be taught through various types of method that makes students active in learning a foreign language. The teacher must make the list of regular and irregular plural nouns which facilitate the students easier to understand. Keyword: Mastery, Plural Nouns
A COMPARATIVE STUDY ON USING SIMPLE PRESENT TENSE BETWEEN ENGLISH AND TETUN-TERIK

This thesis is entitled “A Comparative Study on Using Simple Present Tense between English and Tetun-Terik”. It is a comparative study because it is aimed to identify the similarities and differences between English and Tetun-Terik. In order to find out the similarities and differences, the writer used sentence patterns in English Simple Present Tense to compare with Tetun-Terik in order to find out the difficulties that faced by both native speakers of English and Tetun-Terik. Comparative method approach is used to analyses the collected data. This is because comparative approach comprise with description, selection, contrasting and predicting. Meaning, in the process of analyzing the data, it pays more focuses on explanations and interpretation. So, it is a qualitative research. The research shows that there are some similarities and differences of both languages (English and Tetun-Terik) in forming affirmatives, negatives and interrogatives sentences and in Simple Present Tense. The result of this study can be also used as a reference of linguistics and future investigation. Keyword: Comparative, study, using, simple present tense, English, tetun-terik
Sales Terminal Interactive Device for Disabled People

‘Disability’ is a state of body where it lacks any vital senses or organ functioning which limits a person’s usual activities or movements. Due to a disability, any individual had to suffer a lot, as a disabled person had to be dependent on some other individual. It is generally observed that disability not only affects their physical condition, but it also exacerbates their mental condition as they are treated differently than normal humans in society. Being treated differently by society also affects their psychological health which is generally seen in disabled children. Several times, it is quite difficult to find teachers who are prepared for students with special needs in every geographic area which overall affects their education. The current work proposes how modern hardware along with the implementation of appropriate technology can be made useful to disabled people up to a great extent. The present invention relates to devices operable by the deaf, mute or people having low vision. The present invention more particularly relates to a multi-use simple, low cost and efficient point of sale terminals operable by the deaf, mute or people having low vision. The device can also be implemented at several public as well as private platforms where there is limited interaction. The device has an enormous scope of implementation at a departmental store, shopping malls and movie theatres, where range to employ such PWD person at the job position like cashier, store inventory manager and at several other places using present invention. The device is customizable, easy to use, efficient, economical and robust.
Enhancing students´ vocabulary at the preparatory course using mobile learning

Introduction: Learning English is essential in today´s world and the learning process goes beyond the mastery of the four basic skills; it requires the learner to have a significant vocabulary range in order to perform efficiently in a given area. At the Universidad Central «Marta Abreu» de Las Villas the Preparatory course students face some limitations concerning vocabulary, evidenced in some communication breakdowns when communicating in English.Objective: The purpose of this research is to propose the creation of an app to broaden students’ vocabulary to foster students’ fluency when communicating in English.Methodology: A qualitative methodology was used in the study including some methods from the theoretical, empirical and mathematical level.Results: It was evidenced that students’ lack of vocabulary is due to the fact that some topics are taught in all the skills and hence the vocabulary is more consolidated while others are dealt in only one skill resulting in poor systematization. Therefore, it was necessary to design an app for the cell phones to provide the vocabulary in those topics and skills that students need for communicating efficiently.
On Locating Paths in Compressed Cardinal Trees.

A compressed index is a data structure representing a text within compressed space and supporting fast count and locate queries: count/return all positions where a pattern occurs. The first compressed indexes operate within a space bounded by the text's entropy. Entropy, however, is insensitive to long repetitions. For this reason, in recent years more powerful compressed indexes have emerged; these are based on the Lempel-Ziv factorization, the run-length BWT, context-free grammars and, more recently, string attractors. Labeled trees add a whole new dimension to the problem: one needs not only to compress the labels, but also the tree's topology. On this side, less is known. Jacobson showed how to represent the topology of a tree with n nodes in 2n+o(n) bits of space (succinct) while also supporting constant-time navigation queries. Ferragina et al. presented the first entropy-compressed labeled tree representation (the XBWT) able to count, but not locate, paths labeled with a given pattern. Grammars and the Lempel-Ziv factorization have been extended to trees, but those representations do not support indexing queries. In this paper, we show for the first time how to support the powerful locate queries on compressed trees. We start by proposing suitable generalizations of run-length BWT, high-order entropy, and string attractors to cardinal trees (tries). We show that the number r $\leq$ n of XBWT-runs upper-bounds the size of the smallest tree attractor and lower-bounds the trie's high-order worst-case entropy H. We finally present the first trie index able to locate in pre-order nodes reached by a path labeled with a given pattern. Our index locates path occurrences in constant time each and takes 2n + o(n) + O(r log n) $\leq$ 2n + o(n) + O(H log n) bits of space: the reporting time is optimal and the locate machinery fits within compressed space on top of the succinct topology.
Semantic Image Inpainting Based on Autoencoding Adversarial Networks

Image inpainting is one of the most challengeable tasks in computer vision study. Methods based on image statics of unmasked area generally produce smooth results, but has no semantics understanding of the images. Methods based on deep learning technic have semantics understanding of images, but obtain results with blurred inpainting content. We propose an inpainting network based on autoencoding networks to repair masked images semantically with a combination of encoder-decoder network and mix-discriminators in this study. The mix-discriminators are composed of a global and a local discriminator to judge whether the results are completed or not. In detail, we train an encoder network to learn and extract hidden representations from the input images, and a decoder network to predict the contents of the masked areas based on the hidden representations. Then the outputs and the original images are fed to a global discriminator for judging the consistency of whole output images and a local discriminator for supervising the authenticity of the inpainting areas. The two discriminators will propaganda back a gradient to train the inpainting network to produce realistic image contents.
Recommendation systems for cultural heritage

The Web has become an increasingly importantmedium for the publication of cultural heritage (CH)content of various kinds. Libraries, archives, museums offer collections of objects for online consultation through collection browsers. Documentation of intangible heritage(ICH)has become availableas audio and video recordings and as interactive hypertext applications, even as games. There arelarge national and multinational CH portal projects active in the collection and publication of contentfrom different sources via centralized services.Recommendation systems(RS)have been created to track this progress and offer users new content based on their preferences and browsing habits.A recommendation system for CH (RSCH) is a subclass of information filtering systems. These systems benefit both service providers and their users. They reduce the cost of searching for relevant items of interest to users. The two main methods of recommendation arethe collaborative filtering basedrecommendation and the content-based.
Discussion on English Reading Teaching with Internet

The 21st century is the information age, the continuous popularization of the Internet and the improvement of modern educational technology, as well as the transformation of educational methods and ideas. The Internet makes teaching more efficient and students gain more knowledge. In the Internet environment, the way of knowledge dissemination and English teaching methods are linked together, which can improve the quality of English teaching.
Do school committees in high schools make differences in educational attainment? Evidence from the Republic of Korea

학교 운영 과정에서 학교 구성원의 적극적인 참여가 필요하다는 인식이 높아져감에 따라 학교 내 협의회에 대한 관심 또한 날로 커져가고 있다. 이에 본 연구는 학교 내 협의회와 교육성과 간의 관계를 살피고 학교시책사업에 따라 두 요인 간의 관계가 변화하는 정도를 실증적으로 분석하고자 하였다. 이를 위해서 본 연구는 한국교육고용패널Ⅱ의 1차년도 자료 중 일반고등학교에 재학 중인 고등학교 2학년 학생 코호트를 대상으로 학교 내 협의회와 교육성과 간의 관계를 순서형로짓분석과 중다회귀분석으로 분석하고 교과특화사업, 진로교육사업 등 다양한 학교시책사업들과 학교 내 협의회 간의 상호작용을 살펴보았다. 분석결과, 학교운영위원회의 활성화 정도가 학생들의 학교만족도와 정적인 관계를 맺고 있는 반면, 학부모회의 활성화는 낮은 학교 만족도와 관련됨을 확인하였다. 또한 ‘교육복지우선지원사업’을 운영하는 학교의 경우 학년협의회와 학생들의 학업성취도 간의 관계는 물론, 학교운영위원회 및 교무회의와 학교만족도 간의 관계, 교과협의회와 진로개발역량 간의 관계가 정적으로 유의하게 나타남을 확인하였다. 또한 학년협의회의 활성화와 학생의 진로개발역량 간의 정적인 관계는 진로교육사업을 운영하는 학교들에서 보다 큰 것으로 나타났다. 이런 결과들을 토대로 본 연구는 학교 내 협의회의 실행이 학교 조직의 교육성과를 제고하는 데 기여할 수 있도록 이들의 활동에 대한 지속적인 모니터링이 필요하며, 학교 내 협의회를 활성화하기 위한 노력으로 학교시책사업과의 연계성을 강화하는 것이 좋은 정책적 대안이 될 수 있음을 제언하였다.Growing interests in school democracy and effectiveness call for the influence of school committees on educational attainment. Using a high school cohort of the Korea Education and Employment PanelⅡ (KEEPⅡ), we investigated the relationship between school committees and educational attainments by ordered logistic regression and multi-variate regression. We found that school boards are positively related to higher school satisfaction. On the other hand, parent committees are negatively related to lower school satisfaction. In Addition, our results show that the Education Welfare Priority Support Project and school committees have an positive interaction effect on educational attainment. Furthermore, grade committees and career development program tend to facilitate the positive interaction influence on career development competency. These results imply that it is imperative to monitor the working mechanisms of school committees and to strengthen the interconnectedness of school committees with school policies in order to enhance the influence of school committees.
Research Guides: Tracking COVID-19: General Information

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The Status of the Russian Education System: The Modernization of Human Resource

In this article, the authors are going to examine the contemporary status of human resources in Russia. The essential approaches to the education system’s quality will be analyzed. The main problems of the educational domain will be revealed, as well as the ways of its abolition and human resource development.
Развитие медиакомпетентности будущих педагогов

The article presents the practical experience analysis of the intellectual technologies use for the development of media competence of future teachers. In order to approach this objective, a network educational module “Network services for creating multimedia content” was developed. The experimental work focused on the intellectual technologies that could be applied at different stages of interaction with media information (perceptual, productive). Diagnostics of the media competence development was carried out on the basis of the structure proposed by the authors, including a set of indicators of a personal media competence development: motivational, contact, informational, perceptual, interpretative (estimated), practical-operational (activity), and creative. Analysis of the results showed that the biggest growth is characteristic of the informational and activity indicators. In the process of working with the module materials, students study the theoretical and practical aspects of media capabilities to develop multimedia educational resources, become acquainted with tools for creating and processing information of various types, develop interest and aspiration to create new technologies, in particular, intellectual ones, which are positioned as the key technologies for the digital economy. A significant increase in the contact indicator is associated with the formation of targeted productive interaction with media resources of an open information environment. Perceptual, interpretative and creative indicators are difficult for development and evaluation. The interrelation between perceptual and interpretational indicators, which are formed in the process of peer analysis and evaluation of media resources, was noted. In the process of developing media competence, future teachers acquire important skills for future professionals: new media literacy, virtual collaboration, transdisciplinarity, and design mindset.
FPGA-Based Fall Detection System

As there is a high tendency of falling in the independent living of the elderly and the post-fall injury is very serious. It is necessary to get timely assistance when they fall. The main objective of this work is to build an FPGA-based hardware implementation of video-based fall detection system. First of all, the moving object model will be extracted through background subtraction based on Gaussian Mixture Models (GMM). Second, we judge whether there is a fall through the aspect ratio, the effective area ratio, and the change in the center of the human body. Finally, if the old person falls, the detection system will sound-light alarm and send message to the elderly family and community through GSM. The experimental results demonstrate the accuracy of this fall detection system is up to 95% indoor and this system satisfices the requirement of real-time.
RECOGNIZING SPEECH SIGNAL-TO-TEXT USING DEEP NEURAL NETWORK AND OPPOSITION BASED MONARCH BUTTERFLY OPTIMIZATION (DNN-OMBO)

The goal of this research work is to identify isolated speech signal using Deep Neural Networks (DNN) technique. For this, different verses enunciated by diverse folks are deliberated as input speech signs. The characteristics of these signs are mined by applying Mel Frequency Cepstral Coefficients (MFCC). The mined features are then inputted to the DNN for training. This paper uses the Opposition based Monarch Butterfly Optimization (OMBO) algorithm for optimizing the weight values of DNN. The performance of the proposed DNN-OMBO algorithm has been compared with the optimization algorithms MBO, PSO, and GA. Experimental results show that DNN-OMBO achieves the highest accuracy with the lowest convergence time when compared to other algorithms.
A Chinese String matching Algorithm Based on Edit Distance for Electric Power Customer Service

Abstract With the rapid development of information technology, electric power customer service needs to extract accurate information from the data centre to provide customers urgently. String matching is the most straightforward solution. There are some problems in the editing distance definition of traditional string matching algorithm when dealing with Chinese text. In this paper, the pronunciation characteristic of Chinese characters is integrated in the definition of edit distance and a string matching algorithm based on edit distance for electric power customer service data centre is proposed. Finally, through simulation analysis, we demonstrate that this algorithm has good reliability when dealing with Chinese string matching problem. Thus, it is suitable for electric power customer service to obtain the target string.
Improved personalized suggestions on websites using machine learning

Automated web personalization is a desired feature both for a website visitor and owner. The visitor is released from the burden of selecting settings or use search tools to adapt the website for t ...
Design and Implementation of Cyrillic Mongolian Speech Input System for Thyroid Ultrasound Report

Abstract This paper introduces a Cyrillic Mongolian speech input system for ultrasound examination report. The system uses the developing Mongolian speech recognition technology to complete the transformation from manual input to speech input system and speech input system for ultrasound examination is developed and designed. In view of the current situation that the report system of hospitals cannot be effectively and quickly input in human-computer interaction, the description standard of ultrasound examination is low, the operation of the system is relatively complex, and the retrieval process is inefficient. Experimental results on Mongolian speech corpus tasks show that the WER in Cyrillic Mongolian speech recognition is reduced by 18.97% and 3.55% respectively.
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LibGuides: Coronavirus Resources: Free eBooks and Textbooks

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Divina Frau-Meigs: “Content should not be censored in the fight against fake news” – The New Federalist

What is “fake news”? I will give you my personal definition: fake news don't exist. In my opinion, it is a new phenomenon. But I prefer the word “disinformation” in order to set it apart from the…
CORSICA: Cross-Origin Web Service Identification

Vulnerabilities in private networks are difficult to detect for attackers outside of the network. While there are known methods for port scanning internal hosts that work by luring unwitting internal users to an external web page that hosts malicious JavaScript code, no such method for detailed and precise service identification is known. The reason is that the Same Origin Policy (SOP) prevents access to HTTP responses of other origins by default. We perform a structured analysis of loopholes in the SOP that can be used to identify web applications across network boundaries. For this, we analyze HTML5, CSS, and JavaScript features of standard-compliant web browsers that may leak sensitive information about cross-origin content. The results reveal several novel techniques, including leaking JavaScript function names or styles of cross-origin requests that are available in all common browsers. We implement and test these techniques in a tool called CORSICA. It can successfully identify 31 of 42 (74%) of web services running on different IoT devices as well as the version numbers of the four most widely used content management systems WordPress, Drupal, Joomla, and TYPO3. CORSICA can also determine the patch level on average down to three versions (WordPress), six versions (Drupal), two versions (Joomla), and four versions (TYPO3) with only ten requests on average. Furthermore, CORSICA is able to identify 48 WordPress plugins containing 65 vulnerabilities. Finally, we analyze mitigation strategies and show that the proposed but not yet implemented strategies Cross-Origin Resource Policy (CORP)} and Sec-Metadata would prevent our identification techniques.
Towards Detection of Sheep Onboard a UAV.

In this work we consider the task of detecting sheep onboard an unmanned aerial vehicle (UAV) flying at an altitude of 80 m. At this height, the sheep are relatively small, only about 15 pixels across. Although deep learning strategies have gained enormous popularity in the last decade and are now extensively used for object detection in many fields, state-of-the-art detectors perform poorly in the case of smaller objects. We develop a novel dataset of UAV imagery of sheep and consider a variety of object detectors to determine which is the most suitable for our task in terms of both accuracy and speed. Our findings indicate that a UNet detector using the weighted Hausdorff distance as a loss function during training is an excellent option for detection of sheep onboard a UAV.
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Full 3D reconstruction of human motion by combining video streams

Understanding how sportsmen move is a prerequisite to improve their technique. For this reason, coaches have turned to modern technology to collect detailed data on athletes’ movements. Current solutions to create a 3D reconstruction of human motion are not very user-friendly, as they require athletes to wear transmitters or markers on their body. Researchers from IPI – an imec research group at Ghent University — now developed a markerless method to enable a full 3D reconstruction, by combining data from multiple video streams.