Reviewerly/exHarmony huggingface dataset:
APLIKASI TRIVIA GAME MATA PELAJARAN SEJARAH BERBASIS ANDROID

Low understanding and knowledge of the history of Indonesian independence towards students makes them very less interested in learning history, because history lessons are lessons that are memorized too much, and are read so difficult for them to understand. The researchers made an application to help students understand easily through games, the game was made in a training model or quiz and made more interesting so they were interested in knowing about the history of Indonesia's independence. This system design method uses the waterfall method and the unified modeling language (UML) software method consisting of use case diagrams, sequence diagrams, and activity diagrams with game software application design using construct 2. The game is created by users by asking questions about history Indonesian independence and will be given time to work on it
At The Cross Of History Of Archives And Archaeology: M.E. Masson's Personal Archive Fund As An Important Historical Source

This article is devoted to the historical source analysis of the personal fund R-2773, kept in the National Archives of Uzbekistan by archaeologist Masson Mikhail Evgenevich. The article also analyzes a number of research papers stored in the private fund, a scientific article on the organization of the Department of Archeology at the Central Asian State University (now the National University of Uzbekistan), the educational process, the department's cooperation. In particular, the article analyzes some of the scholar's scientific work in the field of archives.
Sufficient condition for nondominated maximin strategy of arbitrary player with terminal payoff function in two-step positional game of n persons with strategies-syntheses and finite sets of controlling actions of players

Two-step positional game of $n$ persons with strategies-syntheses, $n\geqslant 2$, and finite sets of controlling actions of players is investigated. Sufficient condition for nondominated maximin strategy of arbitrary player, whose payoff function is terminal, has been obtained.
7 Sounds in Grid: History and Development of Grid-Based Musical Interfaces and their Rooting in Sound, Interaction and Screen Design

In electronic music, grids are everywhere: full of light, full of color, full of promise, full of sounds. Grid-interfaces for electronic music can be used for everything from sequencing to modulation, being interface and multimodal display, instrument and score at the same time. Beyond this, we can also understand maps of field recordings, soundscapes and sound-mappings as followers of the grid. On the esthetic side, the grid-interfaces have determined whole genres of music. They are a perfect showcase of how wearing the hats of science, art, design and engineering leads to new products and concepts for generating music, acoustic artifacts or listening to them. Thus, the development and use of grid hardware interfaces, software-grids and maps works as a blueprint to show the interconnection between these different design practices and fields of competence. This chapter will demonstrate how grids have been used since music notation was invented, how the idea of grid-interfaces has developed, and how the switch morphed with a pixel and that “We shape our tools, and thereafter our tools shape us” (Culkin 1967, 51).
Boost Your Efficiency with Agile in Online and Distance Education

Agile has arrived, but the higher education sector has yet to realize its value. The time is now for higher education to adjust operational practices to respond to change and evolving customer needs. In adopting Agile and customizing the approach for our unique working environment, we have been able to promote organizational effectiveness by clear prioritization, shared purpose, organizational alignment and synchronization. Adopting an Agile mindset and introducing easy frameworks to enhance workflow contributed to an increase of efficiency and effectiveness. An opportunity lies ahead for Agile to scale across higher education and NC State University is leading the charge.
Electronic workplace surveillance in context: privacy, motivation, and performance

Blockchain technology has been receiving growing interest among policymakers for its use in complex and transaction-oriented areas. We investigate the adoption of blockchain technology for monitoring the exchange and use of resources for scientific research and collaboration. In this chapter, we explore the relationship between three types of trust - mutual, social, and fiduciary - and blockchain by looking at the social contexts in which scientific collaborations are embedded. Based on socio-technical perspectives, we propose that the relationship between blockchain and trust is complex and depends on cultural values and ethical predispositions of scientists. Our framework suggests that scientists will have four different cognitive entry points to understand and adopt blockchain for resource exchanges. We find that the use of blockchain can increase fiduciary trust for scientists who have modernist values and prefer procedural justice; yet, it will have a lower impact on trust for scientists with traditional values. In general, the use of blockchain for resource exchange would have lower impacts on mutual and social trusts.
Genetic Algorithm for Whole Genome Sequence Percentage Similarity

The chromosomes have varied genes however; genes are often vulnerable to re-arrangement. When DNA sequences of homologous species are subjected to BLAST, they are aligned and gaps are subsequently added whenever there is a mismatch. But, the percentage similarity cannot be concluded when there is gene re-arrangement and hence, the percentage similarity needs to be retrieved by comparing the DNA sequences position to position to identify the gene re-arrangements and an authentic percentage similarity.Therefore, an algorithm has been developed in Java programming language which can retrieve the sequence similarity by position to position comparison without inserting any gaps thereby, making the algorithm authentic as it results out the raw percentage of sequence similarity. The authenticities have been further tested by retrieving the signature sequence belonging to one of the two DNA sequences and by further modifying the given algorithm and also by comparing the results with BLAST results.
Improving Accuracy using The ASERLU layer in CNN-BiLSTM Architecture on Sentiment Analysis

There have been 350,000 tweets generated by the interaction of social networks with different cultures and educational backgrounds in the last ten years. Various sentiments are expressed in the user comments, from support to hatred. The sentiments regarded the United States General Election in 2020. This dataset has 3,000 data gotten from previous research. We augment it becomes 15,000 data to facilitate training and increase the required data. Sentiment detection is carried out using the CNN-BiLSTM architecture. It is chosen because CNN can filter essential words, and BiLSTM can remember memory in two directions. By utilizing both, the training process becomes maximum. However, this method has disadvantages in the activation. The drawback of the existing activation method, i.e., "Zero-hard Rectifier" and "ReLU Dropout" problem to become the cause of training stopped in the ReLU activation, and the exponential function cannot be set become the activation function still rigid towards output value in the SERLU activation. To overcome this problem, we propose a novel activation method to repair activation in CNN-BiLSTM architecture. It is namely the ASERLU activation function. It can adjust positive value output, negative value output, and exponential value by the setter variables. So, it adapts more conveniently to the output value and becomes a flexible activation function because it can be increased and decreased as needed. It is the first research applied in architecture. Compared with ReLU and SERLU, our proposed method gives higher accuracy based on the experiment results.
SENTIMENT ANALYSIS OF KASPI PRODUCT REVIEWS

Customer reviews are the key to the success functionality for the companies. A producer will gain the true result of his products from the customer feedback. He can make necessary changes to his product according to the feedback. However, it is common to see when most client may inadequately overestimate or underestimate the mark. To avoid the confusion it is better to analyze the text. This paper focus on the sentiment feedback analysis and finding the relationship between reviews and ratings on the basis of data collected from ”Kaspi.kz” marketplace. These data streams are cleaned and analyzed and reviews is got through opinion mining. We used several algorithms to find the best one. The experiments have shown 92% accuracy in the sentimental analysis.
A Spects of Predominant-permissible Words in NHK's New Dictionary of Japanese Pronunciation and Accentuation(Ⅱ)

As a result of the survey, first of all, it can be pointed out that the pattern of changes in these [predominant words􋹲permitted words] was very large during the period of less than 20 years between the new edition (1998) and and the new dictionary (2016). This seems to be the result of faithfully reflecting the changes in language during the period, along with the factor of increasing quantity, that about 6,000 headwords were added to the new dictionary. In addition, it was observed that it showed a slightly different phase difference from the general Japanese dictionary in comparison with the five dictionaries. This is because the dictionary is based on ‘pronunciation suitable for broadcasting use’ based on a survey of NHK announcers and a vast database. Therefore, although NHK is advocating a common language, it is a special vocabulary called ‘broadcasting vocabulary’. It is judged that the environment led to the results of such investigation. In particular, in the case of Rendaku, this difference is remarkable, which can be attributed to the linguistic characteristics of the Kanto region that prefer nasal sounds, as well as the soft pronunciation of sound sounds, which NHK announcers prefer.
Problem-based learning in the educational space of a modern primary school

The article analyzes the problem of implementing a problem-oriented approach in the educational process of modern primary school. The purpose (formation of pupils’ ability to find and use knowledge that is relevant and can be applied in practice in the future), the essence and content of problem-oriented approach are studied, the peculiarities of its implementation in the educational space of modern primary school are revealed. A comparative analysis of the problem-oriented approach and the traditional approach to learning is made, as well as the role of teacher and pupil in the first case is demonstrated (a teacher creates a problem situation, organizes classroom work, encourages children to discuss the problem, evaluates pupils’ work; a pupil forms a problem that needs a solution, puts forward and tests the hypothesis in the process of solving the problem situation, analyzes the results). Technologies of problem-oriented approach are considered (case technology, game technologies, storytelling, brainstorming, discussion). The content of teacher’s work in the context of the use of problem-oriented approach in teaching primary school pupils is characterized and methodical recommendations for primary school teachers on the use of problem-oriented approach during lessons are developed (organic combination of traditional and problem-oriented approach in the organization of primary school lessons; involvement of all participants in the educational process; formation of pupils’ ability to analyze the problem situation, to highlight the main thing; formation of a problem situation that corresponds to the age capabilities of pupils; ensuring the principle of sustainable learning; the use and combination of different forms of activity: pair, group, frontal, individual; development of communicative skills and abilities to work in a team by using group forms of work in the classroom; implementation of problem-oriented approach starting from the first grade; involvement of all participants of the educational process in discussions on a given problem situation). Keywords: problem-oriented approach, traditional approach, technologies of problem-based learning, methods of problem-based learning, problem situation.
The rise of Artificial Intelligence (AI) for Earth Observation (EO)

Chapter Contents: 1.1 Embracing external trends 1.2 The Artificial Intelligence and Deep Learning revolution 1.3 Rise of Artificial Intelligence for Earth Observation 1.3.1 AI4EO data engine 1.3.2 [email protected] 1.4 Conclusions
A Common Database and Transaction Pool to Reduce Data Redundancy and to Maximize Database Throughput in an Integrated Software System of a Particular Domain

Main objective of writing this paper is to adopt and create a common database from multiple databases in an Integrated Software System of a particular domain of interest. This will result in reducing data redundancy, in reducing database maintenance time, in simplifying the development phase of the front-end interface, in minimizing the size of the system, in maximizing the database throughput and in implementing of a transaction pool. The transaction pool is used to optimize the database processing. The system can pool the database transactions. Transaction pooling maximizes database throughput while controlling the number of database connections that can be open at one time. We can also say the transaction pool will reduce the number of times new connection objects are created, will promote connection object reuse, will quicken the process of getting a connection and will control the amount of resources spent on maintaining connections. We also illustrate some examples of a transaction pool to connect transaction databases with a common database. We have also illustrated how to create non-visual transaction objects within the system. Practically, we have implemented this approach in our one integrated software system.
EFFORTS TO IMPROVE STUDENT LEARNING OUTCOMES BY APPLYING THE STAD-TYPE COOPERATIVE LEARNING MODEL

This study is a study that applies the STAD (Student Teams Achievement Division) cooperative learning model to improve student learning outcomes in Construction Cost Estimation subjects. The method used in this study is classroom action research (CAR). Research takes the form of cycles that last twice the cycle, depending on the success rate of the target achieved.  The research subject in this study was a student of class XI Design Modeling and Building Information (DPIB) Vocational High School (SMK) Negeri 5 Sungaipenuh. The number of students in this class is 14 students. Data analysis techniques are carried out by assessing the activeness of students' learning and assessment of learning outcomes. Student learning outcomes in the first cycle with a total of 14 students, with an average score of 72.86, and students who achieved the completion of 8 people's learning, which is 57.14%. In the second cycle with the number of students was 14 people, with an average score of 79.29, and students who achieved the completion of learning 11 people, namely 78.57%. In this second cycle, the average grade of students has reached above the Minimum Completion Criteria (MCC).
Impact of Uneven SW􌝆AI Experience on Educational Gap: Focusing on AI education cases of hands-on activity programs

In the era of the 4th industrial revolution, it can be said that securing SW·AI talent is very important to strengthen national competitiveness. In order to secure SW·AI talent, the world spends a lot of money and time on SW·AI education and puts great effort into nurturing talent. The Republic of Korea also reflected the SW education content in the elementary, middle, and high school curriculum by reorganizing the curriculum from 2015. Through SW-oriented universities and AI graduate school education support projects, large budgets are also invested in higher education institutions to focus on nurturing SW·AI talents. However, in reality, there are high voices of concern that both the quantity and quality of SW·AI education are insufficient. With this background, this study started from the point of view that the cause of the AI education gap in the experiential activity program for high school students is the difference in prior SW·AI experience. High school students who participated in the experiential activity program were analyzed by dividing the level of fun, difficulty, satisfaction, and expectation by SW·AI experience. As a result of the analysis, it was possible to confirm a significant result that SW·AI experience is affecting AI education. Based on the results of this study, it is necessary to minimize the educational gap that may occur due to the failure to receive SW·AI education equally. For this, SW·AI education should be converted into a required subject so that SW·AI education can be systematic and continuous from elementary school to high school, and the number of hours of classes should be expanded systematically.
Secure Cloud Optimization for Tenants, CSP and User Via Deep Learning

Abstract: In cloud choosing a right option suitable for CSP, Tenant and user are a challenging task. The proposed system defines a selection mechanism for the cloud service provider (CSP), Tenant, and user. The algorithm designs a service provider that leverages the client for efficient resource allocation for Cloud. Further the system leverages a deep learning metrics to analyze the cloud service provider, tenant and users requirements. The system deliberates a Profit/loss calculator to describe the percentage of profit/loss while choosing. The profit/loss that occurs during allocation or transaction is predicted and suggestions are provided. These strategies are secure, efficient and cost-effective. The monitoring metrics are done with help of deep neural learning (DNL) and Profit/loss Calculation that provides a complete analysis in the cloud. In this process considering the rating, report, or feedback a trustworthy selection is made and a recommendation process is handled for choosing a right option. The experimental results show that the proposed model can benefit both the cloud service provider and users by configuring proper allocation strategies. Keywords: Recommendation, deep learning, profit/loss, tenant, CSP, and user
Watching Video Tutorial As Teaching Strategy To Improve Speaking Skill For EFL learner: A case study of 5th grade students of elementary school

This is a descriptive case study investigating a teaching strategy to improve EFL students' speaking skill. The research subject was students of 5th-A grade of SDIT Insan Kamil, Majalengka. In this study, I investigated how watching tutorial video and presenting oral tutorial help students to improve their speaking skill. The students are invited to watch some videos tutorial, so identified these vocabularies and also the expressions. After that, the students are presented another tutorial in English made by them in front of classroom. The findings confirm that these activities triggers students to convey their ideas and feeling, motivated self - confident and improved their speaking skill. The result suggests that video tutorial could be a potentially useful teaching strategy for EFL learner.
MATEMATIKA U SVETU OKO NAS – INTEGRISANA NASTAVA

The theoretical part of this paper deals with some aspects and possibilities of linking the contents of the World Around Us and Mathematics. Special emphasis was put on the analysis of (in)compliance of the two subjects. In the context of the correlation-integration approach, possibilities for improving the quality of the teaching World Around Us in elementary schools are considered. The methodological part of the paper is dedicated to empirical research aimed at examining the attitudes of future teachers about the correlation-integration approach. Data were collected online, with an electronic questionnaire and a 5-point Likert-type scale, on a sample of 150 students of the Faculty of Education in Jagodina. The results obtained by applying simple statistical methods show that students have positive attitudes about the importance of applying the content of Mathematics in teaching of the World Around Us, and recognize possibilities for raising the quality of teaching using the correlation-integration approach, which suggests considering conditions for more frequent application of this teaching system.
Blended Synchronous Instruction in General English Courses at a Korean University: Perceptions of Both Learners and Instructors

Blended Synchronous Instruction in General English Courses at a Korean University: Perceptions of Both Learners and Instructors 의 이용 수, 등재여부, 발행기관, 저자, 초록, 목차, 참고문헌 등 논문에 관한 다양한 정보 및 관련논문 목록과 논문의 분야별 BEST, NEW 논문 목록을 확인 하실 수 있습니다.
Study on Speech Transmission under Varying QoS Parameters in a OFDM Communication System

Although there has been an outbreak of multiple multimedia platforms worldwide, speech communication is still the most essential and important type of service. With the spoken word we can exchange ideas, provide descriptive information, as well as aid to another person. As the amount of available bandwidth continues to shrink, researchers focus on novel types of transmission, based most often on multi-valued modulations, multiple channels and related sub-carriers. Currently, OFDM (Orthogonal Frequency Division Multiplexing) is widely utilized both in wired and wireless transmission. It includes terrestrial and online digital services, such as cellular systems and broadcasting standards. This paper is focused on varying QoS (Quality of Service) aspects, related with the OFDM telecommunication system, with respect to speech signals. It involves a group of four language sets, namely: American English, British English, German, and Polish. Results of this study may aid both researchers and professionals involved in designing everyday communication services as well as supplementary back-up services.
Understanding an irregular pattern of fracture slip from laboratory earthquake using machine learning

A series of direct-shear experiments on a sawcut fracture under a multi-stage reduction in normal stress shows slip transition behaviors from stick-slip to stable sliding. The irregular slip pattern near the stability transition is traditionally considered unexplainable and unpredictable. This study utilizes a support vector machine (SVM) to classify the fracture slip behaviors and to predict new, unseen slip events. The results exhibit that the SVM trained by the acoustic emission amplitude well predicts the variation of shear stress near the stability transition, and the prediction accuracy slightly decreases with more irregular slip events occurred in the transition stage. The prediction for a fast rupture is more accurate than that for a slow rupture as relatively weak signals from a slow rupture are more sensitive at the same attenuation level. Understanding the irregular slip pattern allows us to better explain the occurrence of Parkfield tremors in California and provides more insights into the mechanisms of repeating earthquakes.
NEW APPROACHES TO INCREASING THE CREATIVE ACTIVITY OF YOUTH

The article scientifically analyzes the main problems and new approaches to increasing the creative activity of young people. The criteria for creativity are: fluency, characterized by the amount of ideas generated per unit of time; originality - the ability to generate “unique” ideas; susceptibility - sensitivity to unusual details and contradictions; metaphorism - the willingness to work in a fantastic, «impossible» context, the tendency to use symbolic, associative means to express thoughts. Creative management decisions are management decisions, a development process that is creative, and results imply positive outcomes for results.