Reviewerly/exHarmony huggingface dataset:
Hybrid extraction of multi-word terms: an application on vibration-based condition monitoring technique

In this paper, we present an advanced domain-specific multi-word terminology extraction method. Our hybrid approach for automatic term identification benefits from both statistical and linguistic approaches. Our main goal is to reduce as much as possible the human effort in term selection tasks as well as to provide a wide-range and representative terminology of a domain. We emphasize in identification of verb or noun phrases multi-word terms, in neologisms and technical jargons. Our architecture applies the term frequency-inverse document frequency (TF-IDF) algorithm to a domain-specific textual corpus in order to measure a unit’s importance in it. We also use techniques to filter out nested terms of a candidate term taking into consideration its frequency by itself in the corpus. In addition, the exported terms are filtered out based on a stop-word list and linguistic criteria. To further reduce the size of the candidate terms and achieve accurate and precise terminologies, our method automatically validates them against a general-purpose corpus. Our study based on a small corpus of vibration-based condition monitoring domain shows that most extracted terms have nice correspondence to the domain of condition monitoring concepts and notions.
Handling large geospatial raster data with the Earth System Data

Abstract: Currently, satellites generate data of the Earth in an unprecedented amount. These datasets need to be processed in a fast and user friendly way to derive comprehensive information. This talk shows how we use the Earth System Data Lab to handle Sentinel-1 time series for the detection of deforestation.Description: The EarthSystemDataLab.jl allows you to handle geospatial raster data easily and fast. You can load data which is too large for your RAM directly from disk in small enough chunks so that it can be paralllelized without you thinking too much about it. The EarthSystemDataLab establishs a data cube workflow, where low- dimensional functions are applied to higher dimensional cubes by functional extension. This means, that user defined functions can act along a particular subset of the input dimensions and loop then across all other input dimensions to get a new data cube which has the unspecified dimensions as well as the output dimensions of the user defined function. We are going to show how we used the EarthSystemDataLab.jl package for the time series analysis of Sentinel-1 data.
Serendipitous encounters to support innovations via knowledge visualizations

This research is about serendipitous encounters in information. The connection of the “dots” is the most important idea and the linkage of this idea to serendipity is a significant contribution of this research using computational/algorithmic models. Serendipity is about finding useful deviations from expected patterns so as to provide new insights (Rond, 2005). With an advanced technology like data/text mining (Han, Pei, &amp; Kamber, 2011), the opportunity of serendipity on finding hidden patterns and useful insights from a large corpus of documents has never been higher. The serendipitous results of text mining using existing game development literature and a suite of tools called Chance Discovery (CD) (Wang &amp; Ohsawa, 2011) with some computational algorithms (e.g. KeyGraph) (Ohsawa, Benson, &amp; Yachida, 1998) and LDAvis (Sievert &amp; Shirley, 2014) were examined for opportunities experiencing serendipity with a participant using narrative creation and scenario planning as to experience serendipitous information seeking via data visualization.
Digital Didactic Objectives of Primary, Secondary, and Higher Education Curricula in the 21st Century Executable with a Single-board Computer

Abstract This paper deals with the didactic objectives and content from the latest curricula of the different types of schools (schools, colleges, universities) in the D-A-CH regions. The aim of this paper is to provide an overview of the didactic goals of current and future curricula for primary, secondary, and high school, which are feasible with a single board computer. For this purpose, the curricula are analysed according to digital terms and methods of information technology with a qualitative deductive meta-analysis and assigned to different categories. The results are presented in different diagrams for evaluation, from which the results can be interpreted. The results include a list of digital didactic goals, structured according to school type, competencies, and feasibility, which can be implemented with a single-board computer. All in all, it was found that an inexpensive single-board computer is quite sufficient for the acquisition and implementation of the digital goals and skills to be taught in the curricula. Furthermore, it was found out how the changes in the curricula have established themselves in the different regions with a time lag and which competencies are taught at the individual school levels. The paper concludes with a recommendation for further studies.
PENGEMBANGAN DAN UJI USABILITAS APLIKASI E-LEARNING BERBASIS MODEL PEMBELAJARAN STUDENT TEAM ACHIEVEMENT DIVISION (STAD)

Penelitian ini bertujuan untuk menghasilkan aplikasi e-learning berbasis model pembelajaran Student Team Achievement Division (STAD). Hal yang melatarbelakangi penelitian ini adalah masih banyaknya sistem pembelajaran di sekolah yang bersifat satu arah, yaitu pemberian materi oleh guru. Selain itu masih banyak guru dan siswa yang belum memanfaatkan teknologi untuk mendapatkan sumber belajar. Model pembelajaran STAD digunakan karena model ini adalah model pembelajaran yang paling sederhana untuk menerapkan metode pembelajaran kooperatif. Aplikasi e-learning ini dibangun dengan metode pengembangan waterfall, mulai dari analisis, desain, implementasi, dan uji usabilitas. Uji usabilitas dilakukan berdasarkan kriteria penilaian yang diadaptasidari ISO 9126-Usability model. Karakteristik dari model ISO 9126-Usability yaitu: 1) Understandability; 2) Learnability; 3) Operability; dan 4) Attractiveness. Hasil pengujian usabilitas aplikasi e-learning memiliki skor 94,17% pada responden guru dan 90,21% pada responden siswa yang berarti aplikasi e-learning ini termasuk ke dalam kriteria sangat baik.------This research aims to create an e-learning application based on Student Team Achievement Division (STAD) learning model. Formal education system these daysstill uses the one-way communication, especially the way of teacher delivering their learning materials. Furthermore most of the teachers and students have not usedsuitable technology to obtain their learning resources. STAD learning model was used because this model is the simplest model for applying the cooperative learningmethod. The Waterfall development method was applied in this application including the analysis, design, implementation, and usability test.The usability testwas done based on assessment criteria adapted from ISO 9126-Usability Model. The characteristics of ISO 9126-Usability Model are: 1) Understandability; 2) Learnability; 3) Operability; dan 4) Attractiveness. The results of the usability test score was 94,17% and 90,21% of teacher and student respondents, respectively. Therefore this e-learning application’s usability was included in very well criteria.
Ações educativas e reflexões acerca da promoção do envelhecimento saudável: um relato de experiência em período de pandemia da COVID-19, em um equipamento de Atenção Básica em saúde

This descriptive study of the experience report type aims to discuss the prevention of COVID-19 and the health promotion of elderly users of a School Health Center in the city of Sao Paulo, through the bibliographic review of the eminent literature on practices educational gerontological and interventions developed by the internship group in this bias. It was analyzed that the educational space in Primary Health Care (AB) is configured as an instrument for changes in the current pandemic scenario of COVID-19, presenting itself as a space for self-care and support in promoting longevity. Thus, the aging process and preventive care are in line with public health policies for the elderly and in PHC.
PENERAPAN FUZZY INFERENSI DALAM SELEKSI KAYU MENTAH UNTUK PERABOT BERBASIS METODE MAMDANI

ABSTRACTTechnology has become a significant part that cant separated in the modern world, especially in the industrial field where so many manufactures competing to fulfil the end-user expectation. At Industry Revolution 4.0, a common problem that occurs in every industry growth is the adoption technology that needs to integrate into the traditional method so the product generation is much faster because optimized. Furniture manufacture is one from a thousand manufacture field that struggles with this condition. The craftsmen are facing the problem with selecting the appropriate raw wood material for production, so the crafted furniture will maintain good quality and makes the creation much efficient. With fuzzy logic Mamdani method, a system will be built and aim to help the manufacturer to determine the best raw material for producing the furniture. The result found that the fuzzy logic Mamdani method is capable of assisting the manufacturer in determining the right raw material to use and achieving a high-efficiency material consumption for the better production cycle.Keywords: Keywords: Furniture; Fuzzy Logic; Mamdani  Method: Wood Raw Material.
The application of probability theory in speculative game of stock market

The main fact of China's stock market so far is that it is a policy market, a capital driven market and a speculative market. Value investment is scarce. This paper tries to use the method of probability theory to get rid of the fog of the market, help the majority of retail investors wake up in cognition, realize that the strong are always strong, and form their own investment style, so as to realize the stable profit from the market.
A Corpus-Based Study on Figure Precedence in English Complex Sentences

This study aims to verify the affectedness of the Figure Precedence Principle in the structures of complex sentences based on COCA"s recent data. The results of this study showed that the Figure Precedence Principle works at different levels of affectedness in each semantic type of adverbial clause. The complex sentences with the causal clause are under the most significant affectedness of the Figure Precedence Principle. On the other hand, complex sentences with a conditional clause have the weakest affectedness of the Figure Precedence Principle. It is remarkable that complex sentences with a concessive clause have an opposite preference to figure precedence between the spoken and the written data.
Laryngologiczne uwarunkowania dobrostanu dzieci z desonoryzacją

The paper presents the results of the author’s research on desonorization in dyslalia concerning the laryngological determinants of the well-being of children with impaired realization of voicing of obstruent phonemes. The research material comes from 30 subjects with desonorization between 4.7 and 17.8 years of age. On the basis of laryngological examinations it was found that the majority of children with desonorization require specialist medical care due to anomalies within the Waldeyer tonsillar ring that imply otological and audiological problems. The conducted studies show that a necessary condition for diagnostic-therapeutic management in cases of desonorization disorders is laryngological examination and specialist treatment.
DATA CURATION DAN RESEARCH DATA MANAGEMENT UNTUK TERWUJUDNYA INTEGRASI DATA RISET DI INDONESIA

Indonesia is actively supporting the research process that is conducted in their research institutions, by providing research funds for them. Many research institutions in Indonesia work in the similar field and their funding could also come from the same source. Based on that reason, there is a need to evaluate the data curation and research data management processes at Indonesian research institutions. The purposes of this research are to evaluate the existing research data conditions at several research institutions, issues associated with research data management, standards and tools to support the implementation of research data management, also finding a way to achieve research data integration for research institutions in Indonesia. Interviews were used as the method to gain data from several research institutions in Indonesia then it was analysed with the qualitative data analysis. Ultimately, the result shows that data access problem, data collection and awareness of researcher are the main complexities of the research data management process. While policies and regulations on research data management are considered important by research institutions to guide them along the process. The result also shows that integration between research institutions could be achieved by using supporting tools and protocols such as OAI-PMH (The Open Archives Initiative Protocol for Metadata Harvesting) and API (Application Programming Interface), integrated system and standard data format.
Intent Classifier Model using Recurrent Neural Networks: a case study to help students with doubts about the functionalities of AVA MOODLE

This survey features an intelligent IBM Watson chatbot to improve student participation in Moodle. Recurrent Neural Networks were used to generate a model and classify the intentions of 48 students who interacted with the assistant. A neural network was trained and submitted to the evaluation criteria and obtained 99.80% precision tests. The virtual assistant also demonstrated the ability to collaborate in student service activities. Infrequently asked questions about the use of Moodle. This study showed evidence that it is feasible to implement the chatbot to help with doubts in these contexts.
Exploiting weak-supervision for detecting and classifying Mandarin Non-Sentential Utterances in Conversations

In conversations, there are pervasive short utterances in incomplete syntactic form but that present no difficulty for understanding, these “non-sentential utterances” (NSU) are our target of research in this study. They are short yet efficient in the conversation flow. The interpretation of NSU is relevant for linguistic research as well as for potential industrial applications, like dialogue system. The main tasks they are concerned with are their detection and their classification. We hope to build a model to classify NSUs automatically. In machine learning, one of the difficulties for building a model is a lack of training data. In this study, we adopt aw eak supervision tool, “Snorkel” to perform the automatic classification for the NSUs. To understand NSU classification, we discuss related literature of dialogue act because it is providing important information about the utterance, and the way their classification is approached in computational approaches is very similar to NSU classification. Also, we look at disfluency because they are short and can be confused with NSU. Equipped with descriptive statistics of our data and qualitative analysis of NSU categories in our corpus, we attempted both NSU detection and classification within SNORKEL framework. We use a set of features based on our corpus in the writing of rules to attribute labels to the data. We can adjust our model based on the performance parameters and error analysis. We summarised the results of our experiments and point directions for future work.
Low-budget real-time pose estimation method for personal physical exercise assistant

Pose estimation is a fundamental task in the field of computer vision. It contains a huge variety of sub-tasks, including 3D pose estimation, pose tracking, etc. In this paper, we propose a novel algorithm of pose estimation to determine whether it is correct of doing certain physical exercises by single-person pose-tracking and key frame extraction method. First, we use the proposed tracking compensation method to refine the output of pose estimation network. Second, we define different angles composed of human key joints as action angles to determine the standards of physical exercises. Therefore, we can have a personal physical exercise assistant and do physical exercises even without professional personal trainer around. Experiments show that our real-time method can achieve 92.0% accuracy on two kinds of physical exercise actions. It can be adapted to different applications with important significance in theory and practice.
PESQUISA SOBRE O NÍVEL DA PRÁTICA DE EXERCÍCIOS FÍSICOS DURANTE A QUARENTENA DA PANDEMIA DE COVID-19 EM 2020 DA POPULAÇÃO DA REGIÃO “AMUREL” DE SANTA CATARINA.

The world was quarantined in early 2020 by the rapid spread of the new corona virus, and social detachment forced the majority of the population to be isolated in their homes to prevent mass contamination. The aim of the research is to seek to know the level of physical activity of the residents of the “Amurel” region during this period, and to know if there is an awareness that food and physical exercises during the “lockdown” periods are essential to maintain the Cheers. The work method included the application of an online questionnaire via Google Forms for 106 participants, with content of 8 questions aimed at assessing the level of physical activity of the population. It was concluded with the research that the level of physical activity had a significant drop, which is alarming and must be treated with extreme importance by the academic environment of the Physical Education course, and by the professionals already trained in the area.
How to remove go.mail.ru virus

Disclosure: This post contains sponsored links whereby we may receive a commission for any purchases made. Introduction In this guide we will take a ...
Pandemia, agricultura familiar e Tecnologia da Informação e Comunicação: tendências de pesquisa

This editorial highlights the role of science in the pandemic scenario of COVID-19, with special emphasis on research questions that may arise from the developments caused by the increased use of Information and Communication Technologies by small producers, a since this becomes the main platform to digitize the commercialization of its production, allowing to follow the new dynamics of demand for agricultural products and adapting to the protocols to face the pandemic. Finally, the editorial also comments on the conceptual structure adopted to organize the articles published in this edition, highlighting the main elements that make up each of the three conceptual dimensions observed.
TIME MANAGEMENT TECHNOLOGY AS A MEANS OF ADAPTING A A FORMER SCHOOL CHILD TO STUDYING IN A UNIVERSITY

School education is different from university education. If at school students are under the care of parents and a team of teachers, then at university students face the need to independently organize their learning activities. This kind of change is embarrassing for many first-year students. This problem is associated with the low level of self-organization of first-year students. In addition to this, self-organization of students has its own character of manifestation in different groups of students. Based on the above, an urgent problem in pedagogical research is a qualitative and quantitative diagnosis of the level of selforganization of first-year students and the search for effective means to increase the level of self-organization of students. Thus, the problem of this study is to identify the existing level of self-organization among first-year students and recommend how to increase the level of selforganization. To diagnose the level of self-organization we used a diagnostic complex created by the author. According to the identified level and characteristics of self-organization, there are given recommendations for increasing the level and quality of self-organization of firstyear students using time management techniques. An increase in the level of self-organization in the experimental group of students in educational activities was revealed. Consequently, the time management technology in the development of students’ organizational skills in educational activities is considered justified and effective self-management.
Dynamic Graph Representation Learning with Fourier Temporal State Embedding

Static graph representation learning has been applied in many tasks over the years thanks to the invention of unsupervised graph embedding methods and more recently, graph neural networks (GNNs). However, in many cases, we are to handle dynamic graphs where the structures of graphs and labels of the nodes are evolving steadily with time. This has posed a great challenge to existing methods in time and memory efficiency. In this work, we present a new method named Fourier Temporal State Embedding (FTSE) to address the temporal information in dynamic graph representation learning. FTSE offered time and memory-efficient solution through applying signal processing techniques to the temporal graph signals. We paired the Fourier Transform with an efficient edge network and provided a new prototype of modeling dynamic graph evolution with high precision. FTSE can also prevent the 'history explosion' that exists in sequential models. The empirical study shows that our proposed approach achieves significantly better performance than previous approaches on public datasets across multiple tasks.
Research on the Path of Cultivating Innovative Talents in Higher Vocational Education under the Background of Artificial Intelligence

Preschool education is the most basic part of the entire education system. Today, with modern information technology being highly developed, combining artificial intelligence with preschool education is the main direction of preschool education reform. This article mainly discusses the basic requirements for the quality of pre-school education talents during the period of artificial intelligence and the methods and approaches for cultivating innovative talents in pre-school education majors in higher vocational colleges.
Pengaruh Penggunaan Internet Sebagai Sumber Belajar Siswa Terhadap Prestaasi Belajar Siswa Pada Mata Pelajaran Akuntansi Dasar Di Kelas X Jurusan Akuntansi Smk Negeri 1 Surakarta Tahun 2019/2020

The purpose of this study was to determine the effect of using the internet as a learning resource on student achievement in the subject of Basic Accounting in class X Accounting Department of SMK Negeri 1 Surakarta. This type of research is quantitative research. The population in this study were class X students majoring in accounting at SMK Negeri 1 Surakarta in the 2019/2020 academic year with a total of 108 students with a sample of 80 students. The sampling technique used in this study is probability sampling with simple random sampling technique. data collection techniques using a questionnaire method. The questionnaire method had previously been tested with validity and reliability tests. The data analysis technique used is simple regression analysis, t test, F test, coefficient of determination. The results of the study using simple regression analysis obtained a regression equation: Y = 77.718 + 0.101X. The results of this study are: there is a positive influence between the use of the internet as a learning resource on student achievement based on the t test, it is obtained t count of 2.59> t table of 1.66462 with a significance value of 5%, and based on the F test it is obtained fcount> ftabel is 6,706> 3,96 with a significance value of 5%. The results of the research for R2 were 6.7%, while the remaining 93.3% was influenced by other variables outside of this study.