Reviewerly/exHarmony huggingface dataset:
The Use Of Information And Communication Technologies In Mathematics Lessons

The process of informatization, which has embraced all aspects of the life of modern society today, has several priority areas, which, of course, should include the informatization of education. It is the fundamental principle of the global rationalization of human intellectual activity through the use of information and communication technologies (hereinafter ICT). The ultimate goals of informatization of education are to provide a qualitatively new model for training future members of the information society, for whom active mastery of knowledge, flexible changes in their functions in work, the ability for human communication, creative thinking and planetary consciousness will become a vital necessity. Such a profound influence on learning goals is based on the potential of the computer as a means of cognitive and research activities, a means of providing a personality-oriented approach to learning, contributing to the development of individual abilities of students in both the humanities and the exact sciences.
A Research Note on Earthquake Engineering

Earthquakes are one of the most destructive mother-nature disasters in the world. An earthquake is defined as quake or tremor which there will be a slipping or movement of earth`s crust as a result of a sudden release of energy, accompanied and followed by a series of vibration on the ground that causing damages. The series of vibrations is known as seismic waves and can be measured using seismometer, a device which also records the seismic waves known as seismograph. This disaster may happen naturally or caused by human activities and very difficult to predict.
The Role of Knowledge Sharing in Organizational Performance

With the tremendous development in the current world, it has become necessary for organizations to convey with the rhythm of development in order to achieve the advantage of constructive competition with other organizations in their field. Where knowledge management is considered one of the methods used to raise the level of development, increase revenue and competitive advantage. The purpose of this paper is to discover the role of knowledge sharing in the organization in terms of increasing the effectiveness and efficiency, the significance of knowledge sharing, relationship between knowledge sharing and organizational leadership, the issues of knowledge sharing and how can be addressed. The applied method in this study is Qualitative Research which includes the use of non-statistical data to explain or explore a certain phenomenon. This paper has been failed to include the correspondence between knowledge sharing, employee motivation and performance, as this topic is also reflective of the extended role of knowledge sharing in the efficiency, satisfaction and retention of employees.
Distance learning in russian higher school

The article is devoted to reforming of the higher education system, which is associated with technological and technical changes, namely, distance learning. The authors emphasize that the distance learning at the university makes education more open and mobile, but interindividual computer-mediated communication not only contributes to the design of a high-quality information educational space of higher school, forming the information culture of the actors of the educational process, but also causes a huge number of risks: informational, organizational, technical, psychological, health risks. As a result of the analysis, the authors concluded that certain elements of distance technologies can strengthen the education system, but a complete distance will exclude the social component from educational practices, which will entail a deformation of society.
Meta Ensemble for Japanese-Chinese Neural Machine Translation: Kyoto-U+ECNU Participation to WAT 2020

This paper describes the Japanese-Chinese Neural Machine Translation (NMT) system submitted by the joint team of Kyoto University and East China Normal University (Kyoto-U+ECNU) to WAT 2020 (Nakazawa et al.,2020). We participate in APSEC Japanese-Chinese translation task. We revisit several techniques for NMT including various architectures, different data selection and augmentation methods, denoising pre-training, and also some specific tricks for Japanese-Chinese translation. We eventually perform a meta ensemble to combine all of the models into a single model. BLEU results of this meta ensembled model rank the first both on 2 directions of ASPEC Japanese-Chinese translation.
Upaya Meningkatkan Hasil Belajar Ilmu Pengetahuan Sosial (IPS) tentang Gejala Alam dan Cara Menghadapi Bencana Alam pada Peserta Didik Kelas VIB SD Negeri Kasreman melalui Metode Mind Map di Semester II Tahun Pelajaran 2018/2019

This research is a Class Action Research (CAR) with the purpose to analyze the learning outcome improvement of Social Science about Natural Phenomena and Facing  Natural Disaster of the students of Class VI B the Elementary School of Kasreman withMind Map Method on the Second Semester of the 2018/2019 year academic. The subjects of this research are the students of Class VI B the Elementary School of Kasreman on the Second Semester of the 2018/2019 year academic as much as twenty children; consist of ten boys and ten girls. The data resources of this research are relating with learning activities and learning outcomes. Techniques of collecting data of this research are non test technique and test technique. The instruments of collecting data of this research are the sheets of observation, the camera application on the hand phone, the group tasks and also daily test. Technique of analyzing data of this research is comparative description. The procedure of this research is the Kemmis and Mc Taggart’s model. This research is consisting of two cycle; First Cycle and Second Cycle. Each cycle consists of two meetings. 1) Learning Social Science about Natural Phenomena and Facing Natural Disaster with Mind Map Method is going on a small group with different task, 2) Learning Social Science about Natural Phenomena and Facing Natural Disaster with Mind Map Method is a conceptual learning with text or picture, 3) Learning Social Science about Natural Phenomena and Facing Natural Disaster with Mind Map Method is improving the students’ learning activities on an actively discussing, actively answering the questions form the teacher and other students and actively asking the questions to the teacher, 4) Learning Social Science about Natural Phenomena and Facing Natural Disaster with Mind Map Method is improving learning outcome on good category. The learning outcomes on the Early Condition are 63 for the average and 40% for the completeness. The learning outcomes on the First Cycle are 69,5 for the average and 55% for the completeness. The learning outcomes on the Second Cycle are 80,5 for the average and 85% for the completeness.
Literasi informasi generasi x, y, dan z dalam penyusunan karya tulis ilmiah Universitas Diponegoro

Diponegoro University (UNDIP)’s vision is “Diponegoro University Becoming a Superior Research University," which implies that every academician at UNDIP requires improving research through scientific papers. Scientific writing is a work that the author must account for morally or intellectually. Consequently, it needs to conduct observation, planning, directed search, finding information, using information, and evaluating information through information literacy. This study aimed to determine the information literacy generation x, y, and z in the preparation of scientific papers at UNDIP. The research used a qualitative method with a phenomenological approach. The data collection technique used deep interview and observation. The analysis showed that information literacy had an essential role for generation x, y, and z in the preparation of scientific papers. Information literacy activities are a form of one's accountability when dealing with information for the needs of scientific writing. The three generations conducted information literacy activities during the scientific paper preparation. This can be seen from the activities carried out, namely the identification of scientific information needs, scientific information retrieval, scientific information utilization, and scientific information communication. In the current era of technological development, generation x, y, and z, which have unique characteristics in the preparation of scientific papers. Hence, information literacy is used as a standard. Each generation have skill information literacy so must account scientific writing have been written.
The Application of Situational Teaching Method in Primary School Chinese Teaching

Chinese course is one of the compulsory courses in each stage of our country, covering the most extensive, is a broad and profound subject.Students need to have a good learning interest, habits, teachers need to have good teaching methods. Situational teaching method is a commonly used teaching method in primary school Chinese teaching, which can avoid the boring traditional teaching mode. Teachers can help students improve their perceptual knowledge to rational knowledge by connecting with real life, so that students can have fun in learning Chinese knowledge and improve the efficiency of Chinese teaching.
A Governance Model for Increasing the Positive Effects of Institutions on the Long Run Economic Growth

The main aim of this study is to critically analyze the effects of institutions on economic growth on the basis of a deeply literature review with a technological point of view. This study found that culture, traditions, tacit knowledge, openness to innovations are the outstanding points in new century and we assert that for increasing positive effects of institutions in the long term there should be a model for management and governance of business of institutions that is the whole economy in the digital macroeconomics. In the era of the upcoming industry 4.0, smart cities and e-government paradigms there should be integration of IT and business processes via a valid management and governance model. With the assumption that innovation digestion and cutting-edge IT capability of institutions have positive effect on their profitability and competency in the market, COBIT model is found to be a valid and sustainable framework for effective and efficient institutional set-ups that provide a sustainable platform for economic value creation cycle.
HDR Deghosting Using Motion-Registration-Free Fusion in the Luminance Gradient Domain

For most of the existing high dynamic range (HDR) deghosting flows, they require a time-consuming motion registration step to generate ghost-free HDR results. Since the motion registration step usually becomes the bottleneck of the entire flow, in this paper, we propose a novel H DR deghosting flow which does not require any motion registration process. By taking channel properties into account, the luminance and chrominance channels are fused differently in the proposed flow. Our motion-registration-free fusion could generate high-quality HDR results swiftly even if the original Low Dynamic Range (LDR) images contain objects with large foreground motions.
The Search of Non-Standard Words in the Documents Written in Indonesian Language with Nazief and Adriani Algorithm

Indonesian language has a variety of affixed words used in a document.The words or sentences in a document must be written based on the Great Dictionary of Indonesian Language (KBBI).Errors often occur when writing a word in the document such as errors in writing the standard words.To find out the standard and non-standard forms of an affixed word needs the root.One of methods to find the root of an affixed word is by using Nazief & Adriani Stemming Algorithm.Searching the root words in a document by checking them one by one will take a long time and is not efficient.Therefore, an application that can search the root words is required to make the quick and more efficient search.This research is an implementation of the search of the root and standard words in the documents written in Indonesian language to ease in determining the standard and non-standard words.The method used is by checking the words in the documents then implementing Nazief & Adriani algorithm to find out the root words then checking in KBBI to determine the non-standard words and implementing spell checker method to recommend the standard ones.The testing used in this research is the accuracy testing by using 50 documents written in Indonesian language with 28,023 numbers of words and the result of the accuracy testing is 96.74%.
Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package

An amendment to this paper has been published and can be accessed via the original article.
Building a Model for Teaching Korean in Universities under the Vision of Experiential Learning

The rapid development of the economy and the continuous improvement of the education system made the state begin to pay more attention to the talents in the education sector, especially in the context of the development of economic globalization, the demand for talents in foreign languages is increasing. China and South Korea are closely connected, so the demand for Korean language talents in our country is increasing, and many universities have established Korean language majors, and is constantly exploring teaching models and methods to enhance Korean language teaching, among which, experiential teaching being the university's Korean language teaching is the important ways and means. This paper mainly analyzes the construction of the model of Korean language teaching in universities under experiential learning.
[Development of an event scale for perceiving well-being in high school students].

Objective This study aimed to develop an event scale for perceiving well-being in high school students (hereinafter called scale). The scale includes ten items for one factor and measures the frequency with which students perceive experience-based well-being.Method This study comprised two surveys. Survey I was conducted for constructive concept validity based on the factor structural model, reliability for internal consistency, and clarifying each item's performance. The survey contents comprised the event frequency of perceived well-being. The constructive concept validity of the scale was examined with confirmatory factor analysis by structural equation modeling using data of 1,095 students. The reliability was tested using McDonald ω reliability coefficients for internal consistency. Each item's performance was examined using the item response theory. Survey II was conducted to examine constructive concept validity using hypotheses testing. The survey contents were as follows: event frequency of perceived well-being, satisfaction in life, and mood. For the measurement, the scale was used for event frequency of well-being, the life satisfaction scale was used for satisfaction, and the abridged version of mood scale was used for moods. For the statistical analysis, we constructed a model in which the event frequency of perceived well-being influences the level of life satisfaction, and a model where the event frequency of perceived well-being influences mood. We examined the fit of the models using data of 2,003 students following structural equation modeling.Result The results of Survey I showed that the model fit for data assumed for the scale was as follows: CFI=0.932, RMSEA=0.098, and ω reliability coefficients were 0.828. Discernment of each item was 0.65~1.06, and the difficulty level was -1.99~2.27, thus all values were acceptable. The results of Survey II showed that the mode fit for the data where event frequency of perceived well-being influences the level of life satisfaction was CFI=0.978, RMSEA=0.060; thus, the values were acceptable. Model fit for data where event frequency of perceived well-being influences mood was CFI=0.952, RMSEA=0.057; thus, values were acceptable.Conclusion The scale developed in this study supported the following: constructive concept validity based on the factor structural model, reliability with each item performance tested for internal consistency, and constructive concept validity using hypotheses testing. We believe that the scale will be helpful in developing support methods that enhance high school students' subjective sense of well-being.
Machine learning model for clinical NER

To extract important concepts (named entities) from clinical notes, most widely used NLP task is Named Entity Recognition (NER). It is found from the literature that several researchers have extensively used machine learning models for clinical NER. Databases such as PubMed which include medical publications have generated lot of interest among researchers for applying information extraction techniques to medical literature. These techniques generate tremendous advantages for both medial applications and research. The most fundamental tasks among the medical data mining tasks are medical named entity recognition and normalization. The task of the medial named entity recognition is to identify the boundaries of mentions from text that contains medical data. It is different from general NER in various ways. Huge number of alternate spellings and synonyms create explosion of word vocabulary sizes. This reduces the medicine dictionary efficiency. Entities often consist of long sequences of tokens, making harder to detect boundaries exactly. The notes written by clinicians written notes are less structured and are in minimal grammatical form with cryptic short hand. Because of this, it poses challenges in named entity recognition. Generally, NER systems are either rule based or pattern based. The rules and patterns are not generalizable because of the diverse writing style of clinicians. These issues can be addressed by making use of technologies like machine learning. Named Entity Recognition is grouped into three approaches. Machine learning based approaches, rule-based approaches and dictionary based approaches. The systems that use machine learning based approach focus on choosing effective features for classifier building. In this work, machine learning based approach has been used to extract the clinical data in a required manner.
Teams Lifecycle Management and Design Guideline for Apps

In this chapter we are going to look at how we can deploy the custom Teams apps for your organization. You’ll decide what to build, build your web services, create an app package, and distribute that package to your target end users.
Correction to: Self-dual codes over $$ {\mathbbm{F}}_2\times \left({\mathbbm{F}}_2+v{\mathbbm{F}}_2\right) $$

The original version of this article unfortunately contained some mistakes on the equations at page 4 of the published paper.
PEMBELAJARAN MENULIS TEKS EKSPLANASI DENGAN MENGGUNAKAN METODE PROBLEM BASED LEARNING BERBASIS APLIKASI POWTOON PADA SISWA SMP KELAS VIII

The purpose of this research are examine the implementation of the problem based learning method based on powtoon application in the learning process to write explanatory texts, so that students be able to solve problems, examine the responses of teacher and students to learning how to write explanatory texts by using the problem based learning method based on powtoon application and examine the difficulties - difficulties is doing the task of writing explanatory texts. The method used descriptive qualitative. Subjects in this research were students at one of the Junior high schools class eight in Mutiara 4 Bandung with a total 36 students. Observation sheets, questionnaire sheets and test sheets are part of the instruments used. The result of this research show the implementation of researcher and students activities that have been observed by observer one and observer two are in accordance with the learning scenarios that have been designed. Questionnaire responses of teacher and students were categorized very well and the average value obtained by students overall was 81.10. On average, categorized as good of student grade. Based on the results, it proves the problem based learning method based on powtoon application is effectively used in the teaching process to write explanatory texts at one of  junior high schools class eight in Mutiara 4 Bandung
SCIENTIFIC WORK AND CREATIVE HERITAGE OF DOMESTIC SCIENTISTS IN THE ACADEMIC SERIES "BIOBIBLIOGRAPHY OF SCIENTISTS OF UKRAINE"

The editions prepared and published within the framework of the general academic project "Biobibliography of Scientists of Ukraine" are analyzed. The normative documents and statistical information on the publications made in the series since its inception in 1968 are collected, the gradual formation of modern serial design and definition of a clear structure that would allow to briefly summarize the scientific heritage and significance of the personality and work of the Academy members is examined. The use of methods of bibliographic and source analysis helped to identify certain stages in the existence of the series. The current state of this book project of the NAS of Ukraine is described. The features of the publications of biobibliographies in the Publishing House "Akademperiodyka" of the NAS of Ukraine, which acquaint a wide audience with the directions of scientific research of Ukrainian scientists, their personal achievements, are noted. Thanks to the optimized and updated existing database of publications, further digitization of bibliographic information is possible.
La preparación en educación a distancia de gestores docentes: Una necesidad del desarrollo científico tecnológico

Introduction: Distance Education has reached a notable development in correspondence with the evolution and advancement of Information and Communication Technologies, however, it has not been accompanied by a training system for professionals prepared to conduct it. Objective: Design and manage organizational forms that use Distance Education, sustained in virtual environments, as an educational modality. Methods: Information search was carried out. Unstructured surveys and interviews were conducted. A pre-experiment was applied in order to verify the validity of the proposed training system and to evaluate its feasibility, experts were consulted. The partial results of the system of training actions proposed in the School of the Transportation Sector, PREGER (Managerial Preparation), as an instrument for the professional improvement of teachers and development of skills were analyzed. Results: A virtual course was designed and applied for the preparation of educational managers in Distance Education. The participants pointed out the novelty of the experience sustained in a virtual environment, the relevance of the contents, the possibility that the course of improvement from the workplace offers, the contribution to personal and professional improvement. Skills were developed in the use of information and communication technologies. Conclusions: The proposed training system constitutes a practical contribution to the solution of the problem related to the improvement of the professional performance of the teachers of the School of the Transportation Sector.
Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model

This paper introduces a method that efficiently reduces the computational cost and parameter size of Transformer.The proposed model, refer to as Group-Transformer, splits feature space into multiple groups, factorizes the calculation paths, and reduces computations for the group interaction.Extensive experiments on two benchmark tasks, enwik8 and text8, prove our model's effectiveness and efficiency in small-scale Transformers.To the best of our knowledge, Group-Transformer is the first attempt to design Transformer with the group strategy, widely used for efficient CNN architectures.