Reviewerly/exHarmony huggingface dataset:
Features and educational tradition in pre-revolutionary Russia of the 20th century

The final stage of the existence of the Russian Empire, its achievements, ideas and development directions in the field of education are considered. It was the period of the late XIX and early XX century that seems to be a particularly striking phenomenon, which was full of numerous pedagogical ideas. Currently, there is a clash of diff erent views on the process of education: traditions and “protective” ideas of the state oppose innovations and progressive concepts. The article analyzes the tasks and functions of education from the point of view of state control, the changes that the pedagogical system underwent, the attempts and the main stages of its reform in accordance with public requests. The traditions of domestic education in higher education are considered on the example of Moscow State and St. Petersburg State universities, their characteristic, the specifics of public activities of the faculty
Perancangan Aplikasi String Matching Dalam Pencarian Makanan Pantanagn Untuk Penderita Penyakit Kanker Dengan Algoritma Berry-Ravindran Berbasis Android

body or human body. Each food will contain substances such as carbohydrates, fat, protein, vitamins, minerals and water, but there are also foods that should not be eaten and consumed because the food eaten cannot be eaten by people who have cancer when eaten with large amounts bad for health and disease will extend the duration of the cancer. In the settlement the author uses the Berry-Ravindran Algorithm, Berry-Ravindran algorithm is a matching algorithm which is a combination of Quick Search algorithm and Zhu-Takaoka algorithm. Berry Ravindran is one of the string matching algorithms that can do a search and take into account the shift in bad characters whose shift values are obtained from the preprocessing phase. Berry Ravindran's algorithm will begin to shift from left to right in search of words and sentences that can be done quickly and easily. The design that is expected later this application of taboo food for cancer patients can run well in all devices and versions of Android smartphones, and the application designed It is also expected to be able to help the community, especially in cancer patients in finding dietary foods based on cancer that they suffer
Heuristic Function to Solve The Generalized Covering TSP with Artificial Intelligence Search

Search is a universal problem-solving method in Artificial Intelligence. Specifically, Heuristic Search algorithms, such as A*, use a heuristic function to guide the search process. The heuristic function allows algorithms to explore only a part of the search space, resulting in an efficient search process. This paper presents a new heuristic function to solve the Generalized Covering Traveling Salesman Problem (GCTSP). The heuristic function is precalculated. The method to obtain the function is pre-calculating optimal solutions consecutively to small sub-problems of the GCTSP of increasing difficulty, using an incremental Best First Search algorithm, which reuses heuristics values previously precalculated. The resultating heuristic function can be used with different heuristic search algorithms. To the best of our knowledge, this problem has not been solved with Heuristic Search. This paper is the first to present a solution to the GCTSP using Heuristic Search algorithms, such as A* and Anytime search algorithms. We evaluated different Heuristic Search algorithms. The experimental evaluation shows results of the same quality, obtained orders-of-magnitude faster than the exact methods traditionally used in Operations Research.
Geophysical and Engineering Considerations in Streamer Design

Summary A seismic streamer must provide data that is fit-for-purpose whilst also being economic to operate and maintain. We consider the consequences of a number of design choices. Solid and gel-filled streamers are used commercially. The gel platform is easier to handle and maintain, which contributes to extended lifetime. Motion sensors may record particle velocity or acceleration. Since the dominant noise mode for the motion sensor arises from streamer vibrations, ultimately all viable sensors provide equivalent data quality. Similarly, a gimballed single component measurement or two component measurement with a sensor orientation measurement are equally effective at providing the vertical component of particle motion needed for wavefield separation. Finally, single sensor recording necessitates very fine sampling to characterize the slow propagating noise modes. Analogue groups can provide equivalent noise performance with substantially simpler power and telemetry systems.
Assessment of the importance and self-esteem of digital competencies development for future HR managers

The importance of development, evaluation and formation of the digital competencies of a modern specialist is growing every year, and the scientists' interest all over the world in this area is the proof of it. In this article, we present a theoretical overview of a global research on the digital competencies emphasising on their development in the higher education. In the empirical part of the article, the aurthors show the results of a students' online survey of 8 Russian universities ( n = 231, the bachelor's degree program "Human Resources Management") which is pointed out the importance of the digital competencies in the labor market. The authors stresse that there are significant statistically differences between the two distributions of answers to questions about the importance and self-assessment of the digital competencies by students in all competencies, except "information management". Analyses showed significant statistical differences in the two analyzed distributions-answers to questions about the importance and opportunities for the development of digital competencies at the University. This allowed the authors to overturn the hypothesis that the level of opportunities for the development of the digital competencies at the University is responded to the assessment of their importance in the labor market according to the opinion of the surveyed students. It is concluded that students who studied "Human resourses management" are aware of the importance of developing the digital competencies for a modern HR manager in the labor market. The authors stress the necessity to increase the focus of the professional education on expanding opportunities and modifying curricula of the disciplines with the inclusion of the digital tools. This are supposed to help the future gradutes successfully entering the digital reality of the labor market.
SHADOWCAST: Controllable Graph Generation with Explainability

We introduce the problem of explaining graph generation, formulated as controlling the generative process to produce desired graphs with explainable structures. By directing this generative process, we can explain the observed outcomes. We propose SHADOWCAST, a controllable generative model capable of mimicking networks and directing the generation, as an approach to this novel problem. The proposed model is based on a conditional generative adversarial network for graph data. We design it with the capability to control the conditions using a simple and transparent Markov model. Comprehensive experiments on three real-world network datasets demonstrate our model's competitive performance in the graph generation task. Furthermore, we control SHADOWCAST to generate graphs of different structures to show its effective controllability and explainability. As the first work to pose the problem of explaining generated graphs by controlling the generation, SHADOWCAST paves the way for future research in this exciting area.
Organization of practical classes in a higher educational institution using modern educational technologies

Formation of a competent teacher of vocational training is a task that arises before modern higher educational institutions as a response to the request of the state and society. Universities strive to select the most optimal ways of becoming graduates in the framework of the competency-based approach. Today, one of the priority areas in the preparation of students is the formation of technological competence, which is an especially important part of the professional training of the teacher as a whole. The purpose of the article is to consider the organization of seminars at a university using various pedagogical technologies to identify their capabilities in shaping the technological competence of future vocational education teachers.The article reveals the essence and types of seminars implemented by higher education institutions. The seminar is a higher level of organization of students' educational activities, these practical classes are problematic. Substantiating this provision, the author notes that it is in such conditions that the student resorts to an independent study of the issue, forming skills to work with a lot of information and building up the structure, the logic of his activity, which allows the formation of professional and pedagogical skills.As the main educational technologies, the author distinguishes design, gaming, discussion, problem-based learning, information, case technologies. The author considers the formation of the technical competence of vocational education teachers in a higher educational institution by the example of a seminar using gaming technologies.
Monte Carlo Simulation for the Domino Game

This paper shows the results obtained through statistical simulation, or Monte Carlo method to decide which type of strategy is the most appropriate to carry out a popular chip game called Dominoes. The Dominoes is a chip game with a couple of numbers ranging from zero (white), to six, in which the objective is to draw several seven chips on the table according to a set of rules. The Dominoes is a random game, cannot be always make sure you have the same result, much less know what odds we will have to win or lose a game, in this case it depends on what type of strategy is used to carry out the game . In this paper we will show some of the most used strategies to start the game, as well as to develop the game. The Monte Carlo Simulation is used to determine the best of these strategies and thus have a statistical basis to determine the behavior of this game. Based on these statistical tests, we will finalize this paper by showing that the strategy for the beginning of the game does not affect the behavior of the game and we will show that the best strategy found is the so-called "Tirar la ficha más acompañada".
LANGUAGE GAMES REDUCING THE RISK OF DEMENTIA IN ELDERLY ADULTS

Similar to other largest countries, Indonesia has a huge number of elderly people that contributes significant number of elderly population in the world. This becomes the result of the significant progress of Indonesian government programs. However, this condition also creates another problem related to the increasing number of people who suffers from various degenerative diseases, such as dementia, which is now it does not exclusively affect elderly people. One solution to reduce the risk of dementia is practicing habitual activities that involve brain training, like playing crossword puzzle and scrabble. Those activities are not only interesting and entertaining, but can also improve memory, daily life skills, and overall mental health. Therefore, the use of language games should be well socialized to Indonesian society to prevent the risk of dementia to happen at earlier age. Keywords: dementia, elderly adults, language games
AN ANALYSIS OF THE TEACHER STRATEGY IN TEACHING READING

ABSTRACTJefri Arian. 2020. An analysis of Teacher's Strategy in teaching Reading at Senior High School 12 Banda Aceh. Thesis, English Education Department Teacher Training And Education College (STKIP) Bina Bangsa Getsempena, Advisor(I)Sri Wahyuni, M. ,Pd, Advisor (II) Regina Rahmi, M. Pd. This research tries to analyze the teacher's strategies in teaching reading at SMA 12 Banda Aceh. This research uses a descriptive qualitative approach and the research used observation, questionnaire, and document analysiss as the method of collecting data. The objective of this research is to know the English teacher' strategies in teaching reading. the result of research is the english teacher impleenting three strategies in teaching reading. they are scaffolding, qars, (Question and Answer Relationship), and direct intraction strategy. Based on the observation, documentation analysis, and the data of questionnaire shows that the english teacher implement all the strategies in teaching reading. Moreover, the data from questionnaire revealed that most of the students agree that the english teacher has good ability in teaching reading by using those strategy.
An analysis of newspaper editorials on English education policies: Using the appraisal framework

Using an analytic framework based on Martin and White’s (2005) Appraisal Theory, this study analyzed newspaper editorials on two English education policies promoted by the previous and the current Korean administrations: an absolute grading system for English scores in the Korean College Scholastic Ability Test; and a policy banning English education in public kindergarten and day-care centers. The results showed that the editorials utilized different types of appraisal (i.e., judgment or appreciation) depending on the editorial stance toward the target policies. Also, the analysis indicated that what the editorial writers focused on for appreciation appraisal to support their positions regarding the policies varied considerably depending on the newspaper’s political ideology, conservative or liberal. Another interesting finding is that the traditional relationship between the news media and the public, which is characterized by a unidirectional flow of information and influence, may undergo changes with diverse channels of social media becoming available for the public. Further research is needed to understand better the roles that the news media play in the formation of English education policy.
DataGene: A Framework for Dataset Similarity

DataGene is developed to identify data set similarity between real and synthetic datasets as well as train, test, and validation datasets. For many modelling and software development tasks there is a need for datasets to have share similar characteristics. This has traditionally been achieved with visualizations, DataGene seeks to replace these visual methods with a range of novel quantitative methods. Please see the GitHub repository to inspect and install the Python code.
Image Denoising by Wavelet Transform Based on New Threshold

On the basis of two classical hard and soft threshold processing methods, combined with the improved methods mentioned in the literature, a comprehensive threshold processing method is proposed. The threshold function can not only overcome the defects of discontinuity and constant deviation of the traditional threshold, but also adjust the error between the original wavelet coefficient and the thresholding coefficient by adjusting the parameters. Through the comparison of simulation experiments, it is found that the denoising effect of the new threshold function is significantly improved over the traditional threshold denoising effect in terms of visual effect, mean square error, peak signal-to-noise ratio, etc.
AN ASSESSMENT OF EYE HAND COORDINATION OF SCHOOL GOING CHILDREN IN INDIA

One of the main functions of school is to develop the motor function among School going Children. Eye hand Coordination is defined as a perceptual. Physical Activity and Sport and its impact on Population is one of the trending research avenue (Olga &amp; Khudolii, 2018). The study was conducted to assess the bilateral coordination. The study was conducted on upper-limb coordination between pre-puberty girls and boys school going children (K.V.1) Gwalior. Total (N = 60) students were tested for catching and dribbling as per BOT-2 test short form of upper limb coordination. The age level of the students was 7 years to 9 years of old. Normality was checked and Independent t-test was used as a statistical tool. The study concluded that boys showed more bilateral coordination than girls. The study is the indicator of learning/practicing for the girls compared to boys of the school.
A Fusion Multiobjective Empire Split Algorithm

In the last two decades, swarm intelligence optimization algorithms have been widely studied and applied to multiobjective optimization problems. In multiobjective optimization, reproduction operations and the balance of convergence and diversity are two crucial issues. Imperialist competitive algorithm (ICA) and sine cosine algorithm (SCA) are two potential algorithms for handling single-objective optimization problems, but the research of them in multiobjective optimization is scarce. In this paper, a fusion multiobjective empire split algorithm (FMOESA) is proposed. First, an initialization operation based on opposition-based learning strategy is hired to generate a good initial population. A new reproduction of offspring is introduced, which combines ICA and SCA. Besides, a novel power evaluation mechanism is proposed to identify individual performance, which takes into account both convergence and diversity of population. Experimental studies on several benchmark problems show that FMOESA is competitive compared with the state-of-the-art algorithms. Given both good performance and nice properties, the proposed algorithm could be an alternative tool when dealing with multiobjective optimization problems.
Integrasi Materi Kesantunan ke dalam Kompetensi Dasar Mata Pelajaran Bahasa Indonesia: Tinjauan Pragmatik

This research aims at identifying basic competencies (KD) at the levels of elementary school (SD), junior high school (SMP), and high school (SMA) viewed from the  politeness material. To achieve the goal, data in the form of KD in Indonesian language subjects at SD, SMP, and SMA extracted from the documents of the Decree of Education Ministry No 37 of 2018 Core Competencies and Basic Competencies of Subjects in the 2013 Curriculum were evaluated. Data were collected using documentation techniques, while data in the form of scores from the validation results were obtained from two expert validators. The collected data were analyzed using the Miles and Huberman (1984) flow technique. Results show scores of validation of  SD, SMP, and SMA  were 9, 9. The score of KD of each school was 8 respectively in core competencies (KI) III (knowledge domain) and KI IV (skills domain) which could potentially be integrated with politeness material. The integration which is done by adding the word to the competency achievement indicator (GPA) which is the result of KD development is considered valid by two expert validators with a mean score of 3.85 and 4.00, respectively. The existence of the word in the GPA has the consequence that the word santun is included in some of the learning objectives, politeness material is developed explicitly in textbooks and taught in classroom learning, and polite language competence is part of the assessment criteria.
Bonseyes AI Pipeline—Bringing AI to You: End-to-end integration of data, algorithms, and deployment tools

Next generation of embedded Information and Communication Technology (ICT) systems are interconnected and collaborative systems able to perform autonomous tasks. The remarkable expansion of the embedded ICT market, together with the rise and breakthroughs of Artificial Intelligence (AI), have put the focus on the Edge as it stands as one of the keys for the next technological revolution: the seamless integration of AI in our daily life. However, training and deployment of custom AI solutions on embedded devices require a fine-grained integration of data, algorithms, and tools to achieve high accuracy and overcome functional and non-functional requirements. Such integration requires a high level of expertise that becomes a real bottleneck for small and medium enterprises wanting to deploy AI solutions on the Edge, which, ultimately, slows down the adoption of AI on applications in our daily life.In this work, we present a modular AI pipeline as an integrating framework to bring data, algorithms, and deployment tools together. By removing the integration barriers and lowering the required expertise, we can interconnect the different stages of particular tools and provide a modular end-to-end development of AI products for embedded devices. Our AI pipeline consists of four modular main steps: (i) data ingestion, (ii) model training, (iii) deployment optimization, and (iv) the IoT hub integration. To show the effectiveness of our pipeline, we provide examples of different AI applications during each of the steps. Besides, we integrate our deployment framework, Low-Power Deep Neural Network (LPDNN), into the AI pipeline and present its lightweight architecture and deployment capabilities for embedded devices. Finally, we demonstrate the results of the AI pipeline by showing the deployment of several AI applications such as keyword spotting, image classification, and object detection on a set of well-known embedded platforms, where LPDNN consistently outperforms all other popular deployment frameworks.
Novel ’holistic’ protocols for quantum-enabled classical telecommunications

We experimentally demonstrate new telecommunication protocols and matching receivers designed to enhance benefits of quantum measurements. We show that our quantum protocols unconditionally outperforms the shot noise limit for various communication alphabets.
PENERAPAN METODE COMPUTER ASSISTED LEARNING (CAL) TEKNIK AKUPRESUR PADA IBU MENYUSUI BERBASIS MULTIMEDIA INTERAKTIF

One of the causes of the increase in Infant Mortality Rate (IMR) is the decrease factor in exclusive breastfeeding to infants. Based on the Statistics Center (BPS) in 2016 covering 49.51% of infants in Indonesia who received exclusive breastfeeding less than 6 months. In this case, multimedia technology can be used to support government programs in Increasing Exclusive ASI Coverage Rates for Indonesian children in accordance with Government Regulation No. 33 of 2012. So, the researchers conducted research using computer-based multimedia learning assistance (CAL) technology for help support the health of several posyandu, puskesmas, and mother and child clinics in promoting exclusive breastfeeding through the Acupressure Technique which can be accessed through the release of the hormone prolactin and the hormone oxytocin in drinking mothers. This multimedia application based on Computer Assisted Learning (CAL) can provide understanding and learning about Acupressure Techniques with visuals that are interesting, easy to understand, and supported by clear audio visuals.