Reviewerly/exHarmony huggingface dataset:
학문 목적 한국어 듣기 교재 분석 연구 - 듣기 담화 실제성과 과제 활동 유형을 중심으로 -

This study examined the authenticity of the listening and activity types of listening tasks in Korean listening for academic purposes. In doing so, it aimed to investigate and analyse the authenticity of the discourse in the listening textbooks and the activity types of listening tasks for academic Korean learners. Through analysis and reflection, I discuss important issues for the future development of listening materials. The results of the analysis confirm the progress of the textbooks. However, it is necessary to diversify the genres of the discourse, which were recorded using various media. I also discuss the broadening of the scope for more practical listening. Regarding the listening task activities in the textbooks, I found that the tasks were biased toward literal comprehension listening, intensive listening and selective listening. Therefore, I suggest that the inferential listening tasks and interactive listening activities should be further reflected in the textbooks. (Seoul National University)
자동화된 어휘 분석 프로그램을 활용하여 어휘의 정교화와 쓰기 능력간의 관계 탐색

This study explores the relationship between newly developed indices of lexical sophistication and essay scores written by Asian college students. The study employs the Tool for the Automatic Analysis of Lexical Sophistication(TAALES) program. A total of 440 essays written by EFL students from Korea, China, Japan, Thailand, Taiwan, and Indonesia were selected from the ICNALE(International Corpus Network of Asian Learners of English) corpus. The following two research questions were addressed. First, what is the best lexical sophistication predictor of essay scores? Second, what are differentiating lexical sophistication indices among high-, mid-, and low-level EFL students? Two statistical analyses such as the stepwise regression analysis and the discriminant function analysis were performed using the SPSS version 26.0. Results showed that ‘age of acquisition content words’ turned out the best predictor of essay score, indicating that essays with content words that on average are perceived to be learned later received higher scores. Also, two multiword units such as ‘COCA magazine trigram strength of directional association’ and ‘COCA magazine bigram mutual information’ contributed to distinguishing among EFL students with different English proficiency levels. Therefore, EFL students who produced two-word and three-word phrases with stronger associations were classified as the high proficiency group, hence judged to be more proficient in writing.
THE USING OF SURVEY, QUESTION, READ, RECITE, REVIEW METHOD (SQ3R) IN INCREASING THE ACTIVENESS AND ACHIEVEMENT IN ENGLISH SUBJECT. (Study in English Subject 9th Grade at SMPNegeri 06 Lebong)

This research is conducted to describe the effect of SQ3R method toward students’ activeness and achievement in English subject of students at SMPNegeri 06 Lebong. This research was classroom action research and quasi experiment. In this research, an action research conducted collaboratively between researchers themselves as teachers of the school in question, and another teacher as an observer. In the action this study using SQ3R method to increase the activeness and achievement of students who have find still very low. The subjects of study were students of class IX.1 for action class room research and students of class IX.2 dan IX.3 for experiment research SMPN 06. The data was collected using activeness questionnaire, documentation, field notes and test results to learn. The data analysis technique used is descriptive qualitative analysis, which describes the data by using the phrase to obtain a clear and detailed description. The results of this study indicate that (1) the use of SQ3R method couldincrease the students’ activeness; (2) the use of SQ3R could increase the students’ achievements; (3) the effectiveness of the SQ3R method could increase the students’ achievement in English subject.
Women’s and men’s happiness in the context of eternal values

The authors draw attention to the issue of gender differences in the features of the subjective experience of happiness and unhappiness. The article describes the results of a study conducted with clients of psychologists who report problems related to the experience of destructive interpersonal relationships and consider themselves deeply unhappy in life. The purpose of the study is to reveal the gender specificity of the frustration of the subjects’ life needs underlying the deep experience of unhappiness in their lives. A peculiarity of the approach used by the authors is the consideration of issues of psychological nature in the context of philosophical and religious understanding of eternal values, such as happiness and love for one’s neighbor. A special focus of the authors’ attention is the problems related to the philosophical and religious basis of consideration of the feminine as Sophia the Wisdom of God with the complex of her rejection, the dominant sense of guilt, and the desire to return to the Father. Such methodological symbiosis is facilitated by interdisciplinarity as one of the main principles of the authors’ interaction with the materials of this work. The Thematic Apperception Test (TAT) aimed at the amplification of subjects’ unconscious intentions is used as a diagnostic instrument. The conducted psychological study allows to reveal and describe some of the causes for the manifestation and experience of happiness and unhappiness in the lives of modern men and women and show specific differences between their subjective experiences of happiness and unhappiness in their lives. Unlike previous studies of this kind, the deployed philosophical and religious studies approach provides an opportunity to take a new look at the outlined issues considering them from the point of the philosophical context of values.
Professional direction of physics teaching of future engineers: practical aspect

Professional direction of physics teaching of future engineers: practical aspect
Finite Mixture Model: A Comparison of Maximum Likelihood Estimation and Bayesian Analysis

The mixture model is known as model-based clustering that is used to model a mixture of unknown distributions. The clustering of mixture model is based on four important criteria, including the number of components in the mixture model, clustering kernel (such as Gaussian mixture models, Dirichlet, etc.), estimation methods, and dimensionality (Lai et al., 2019). Finite mixture model is a finite dimensional of a hierarchical model. It is useful in modeling the data with outliers, non-normal distributed or heavy tails. Furthermore, finite mixture model is flexible when fitted with the models that have multiple modes or skewed distribution. The flexibility depends on the increasing number of parameters with the existence of a number of components. The finite mixture model is a flexible model family and widely applied for large heterogeneous datasets. In addition, the finite mixture model is a probabilistic model that is used to examine the presence of unobserved situations or groups and to measure the distinct parameters or distribution. The situations, such as trend, seasoning, crisis time, normal situation, etc., might affect the number of components that exist for a probabilistic distribution. Furthermore, the finite mixture model is essential for time series data because these data exhibit nonlinearity properties and may have missing data or a jump-diffusion situation (Gensler, 2017; McLachlan and Lee, 2019). Keywords: Bayesian method; Finite Mixture Model; Maximum Likelihood Estimation; Prior distribution; Likelihood Function.
Getting Started with Python

I came to programming relatively late in my life. My job at that time had nothing to do with software development. I was not one of the computer geeks at school and always thought that coding was not for me. Working in the financial industry, I was heavily dependent on Excel and had to do a lot of manual copying and pasting.
Similarity Measures Based on Compiled Arguments

Argumentation is a prominent approach for reasoning with inconsistent information. It is based on the justification of formulas by arguments generated from propositional knowledge bases. It has recently been shown that similarity between arguments should be taken into account when evaluating arguments. Consequently, different similarity measures have been proposed in the literature. Although these measures satisfy desirable properties, they suffer from the side effects of being syntax-dependent. Indeed, they may miss redundant information, leading to undervalued similarity. This paper overcomes this shortcoming by compiling arguments, which amounts to transforming their formulas into clauses, and using the latter for extending existing measures and principles. We show that the new measures deal properly with the critical cases.
Flipped classroom as a didactic strategy to develop self-regulated learning in university students

The research entitled Flipped classroom as a didactic strategy to develop self-regulated learning in university students, was carried out in order to verify the effectiveness of the use of the flipped classroom strategy in the development of self-regulated learning. The type of research was applied, taking into account a quantitative approach, with an experimental, quasi-experimental design; where a program was applied with the use of the didactic strategy and, for self-regulated learning, a questionnaire before and after the application of the independent variable. The population consisted of 200 students from the III cycle of the education career of a public university. The technique will be the survey and, the instrument, a questionnaire for the validated dependent variable; through expert judgments and reliability with a pilot test. For the results, the Mann Whitney U test was applied, where it is concluded that the flipped classroom program influences self-regulated learning in students; since highly significant differences were found (z = –12.004; p &lt;0.000).
The Orthogonality of Two-scale Three-dimensional Eight-direction Wavelet

The construction of wavelets is a key problem in wavelet analysis.In the background of the one-dimensional double wavelet theory and the one dimensional biorthogonal bidirectional wavelet construction theory, this paper extends the one-dimensional bidirectional wavelet to the two-scale three-dimensional eight-direction biorthogonal wavelet.By using the method of tensor products to construct higher dimensional wavelets, the two-scale three-dimensional eight-direction multi-resolution analysis, two-scale three-dimensional eight-direction scale function and wavelet function are obtained.In addition, the conditions satisfied of the orthogonal and biorthogonal properties of the two-scale three-dimensional eight-direction wavelet are studied.
Pelatihan Aplikasi Power Point sebagai Media Pembelajaran Jarak Jauh di Pondok Pesantren Assubkiyah

This training is an activity for teachers and students of the Visual Communication Design Study Program - Creative Industry Faculty of Telkom University in helping to develop skills related to the profession of teachers at the Assubkiyah Islamic Boarding School with the theme "Training on Power Point Application as a Distance Learning Media at the Assubkiyah Islamic Boarding School". This activity aims to: 1) Provide scientific contributions, especially the Visual Communication Design study program for the general public; 2) Developing skills related to the profession of teachers / teaching staff at the Assubkiyah Islamic Boarding School; 3) Provide provision of skills; and 4) Provide opportunities for teachers and administrators of Islamic boarding schools to gain / increase knowledge that is not taught in the school environment. It is hoped that after this program takes place, the teachers and administrators of the Assubkiyah Islamic Boarding School can add to their skills so that teaching and learning activities can take place better.
Amazon adding 1,000 jobs to new robotics fulfillment center in Georgia

Amazon is bringing 1,000 new jobs to Georgia with the state's first robotics fulfillment center.
Pemberian Komik Jajanan Terhadap Perilaku Jajan Anak Kelas IV Dan V SD

Street food is so plentiful in the neighborhood around the school and consumed by school children. The high interest and consumption spending on school age children not accompanied by the provision of healthy snacks. One of the efforts to improve the behavior of the run is through health promotion. One of the right health promotion media used on school children, especially those aged nine to 12 years or who generally sit in classes IV and V of elementary school are the main consument. Children aged nine to 12 years has been able to hold a logical and logic synthesis child begins to develop. This study aimed to determine the effect of health promotion through the medium of comics snacks on snacks behavior grade IV and V in SD Negeri 3 Senganan. This study was pre-experimental studies (one-group pre-post test design without control group). The sample consisted of 43 grade IV and V SD obtained with a total sampling. The data was collected using a questionnaire that had been tested for validity and reliability. All respondents are given three different comic series every week for three weeks to read. The results showed that behavioral changes snacks, where before reading comics snacks, snack behavior with both categories increased by 9.3% to 93% after reading the comic snacks. Snack behaviors were categorized enough of 90.7% decreased to 7% after reading the comic snacks. Based on the Wilcoxon Signed Rank Test, this difference was statistically significant, with a value Asymp.Sig. (2-tailed) 0.000 which means there is the effect of health promotion through the medium of comics snacks on snacks behavior grade IV and V in SD Negeri 3 Senganan.&#x0D; &#x0D; Keywords: Health Promotion, Snacks Behavior, Comics Snacks
The soft skills as a drivers of customer service in a sales area

Problem and Objective: This study aims to investigate the soft skills as a driver to customer service. And to see the customer service as an important organization´s element. At World Economic Forum in 2019, were raised the following years trends. The main was soft skills. Of the Resource Human´s leaders interviewed. 91% mentioned the need to detect, study, and develop soft skills since hiring process. 92% highlighted soft skills versus hard skills (Fleming, 2019) [18].Experimental Approach: To the research, a questionnaire was applied to 66 managers of the sales area of the automotive distribution agencies. They are the ones who are directly with the employees who offers customer´s expected service. The stepwise multivariable regression in SPSS Statistics was used to obtain the results.Findings and Conclusion: The findings revealed that hospitality, effective communication, and motivation are significant as a driver to customer service. Teamwork and problem solving were not significant.
Intensive Orientation English Course on Listening and Speaking Skills for BBA Students for Cooperative Education

This research consisted of a semi-structured interview and the intensive orientation English course. The course was conducted for three-day activities with different training methods, 52 third-year students participated in the course. The students took a pre-test, and a post-test of the English proficiency test. An interview was analyzed and showed that the students were not good at English communication. The most difficult thing for them was a project presentation. The function of listening was mostly used for their supervisors’ commands and customers’ inquiries, and situations in daily life. Meanwhile, the function of speaking was mostly used for business communication to communicate with the people involved. The overall results of the post-test revealed that the students improved their listening and speaking skills after attending the training program. They enjoyed communicating with all the participants throughout the course. In conclusion, the course contents were effective and beneficial for the BBA students.
Blockchain Ecosystem in Construction:Open or Closed Innovation?

Blockchain technology has been considered a game-changer across many sectors and slowly gains traction in construction. Because of immutability and transparency, blockchain is seen as a solution to the fragmentation and distrust. Various industry players, government and policymakers are increasingly interested in co-creating ideas with this technology. This collective interest on blockchain implies the possibility for democratising it following an Open Innovation (OI) paradigm. We explore the feasibility of OI paradigm in construction using blockchain as an example and research setting. Through content analysis of semi-structured interviews with 24 experts we explore openness/closedness of blockchain innovation ecosystems. The data showed that OI is still in its infancy in construction. Whereas blockchain implies openness and transparency, construction focuses on closed blockchain ecosystems due to resistance in sharing data and research initiatives. This brings implications for government and construction clients who are deemed facilitators of digital revolution.
ATM With Eye Tracker Password Authentication

Individual ID numbers are broadly utilized for client verification and security.Secret word validation utilizing PINs expects clients to genuinely enter the PIN, which could be helpless against secret key splitting by means of shoulder surfing or warm following.PIN verification with hands-off look based PIN passage methods, then again, abandons no physical impressions also, hence offer a progressively secure secret phrase passage choice.Gaze based confirmation alludes to finding the eye area over consecutive picture edges, and following eye community after some time.This paper displays a continuous application for look based PIN passage, what's more, eye discovery and following for PIN recognizable proof utilizing a savvy camera.
Master-Slave Synchronization for Trajectory Tracking Error Using Fractional Order Time-Delay Recurrent Neural Networks via Krasovskii-Lur’e Functional for Chua’s Circuit

This paper presents an application of a Fractional Order Time Delay Neural Networks to chaos synchronization. The two main methodologies, on which the approach is based, are fractional order time-delay recurrent neural networks and the fractional order inverse optimal control for nonlinear systems. The problem of trajectory tracking is studied, based on the fractional order Lyapunov-Krasovskii and Lur’e theory, that achieves the global asymptotic stability of the tracking error between a delayed recurrent neural network and a reference function is obtained. The method is illustrated for the synchronization, the analytic results we present a trajectory tracking simulation of a fractional order time-delay dynamical network and the Fractional Order Chua’s circuits.
The Role Of University Teachers In Health Saving Students In The Process Of Using Innovative Technologies

This article examines the role of university teachers in the health preservation of students in the process of using innovative technologies. Modern university education involves extensive communication of students with the Internet, television and radio broadcasting, the use of innovative technologies in lectures and seminars, laboratory and practical classes, which may be accompanied by a negative impact of these factors on health, dictating the need to use health-saving technologies.
Preface: Special Issue on Advances in System Software

System software, the software that manages the hardware and supports the applications in computing systems, is a core component of IT ecosystem that covers operating system, programming language, compiler, runtime environment, integrated development environment, etc.In industrial competition, system software is the "moat" and "accelerator" of CPU and the "soil" of APPs.The prosperity of academic research on system software in one country often represents its leadership in core software and hardware technologies in the world.Compared with the prosperity of Internet software or smartphone applications, there is still a large gap in the development of system software in China.The research topics on system software usually come from large processor vendors and large application platforms.In the past, there were few research groups in Chinese universities and institutes on system software due to the lack of demand from domestic industrial giants.People have no choice but use the ISAs, micro-architectures, and platforms from international IT giants, e.g.IBM, Intel, and Qualcomm.Therefore, a virtuous cycle of "industrial demand-academic research-production application-new industrial demand" did not exist in China in past decades.The situation has changed in recent years, and system software has become a hot area in both academia and industry for the first time in the history of China.One reason is the rise of domestic chip vendors.The vendors represented by Huawei and Cambricon have taken the lead in the design of smartphone chips and AI chips, and developed their own system software products, and even make them open source, such as openEuler, OpenHarmony, MindSpore, and BANG.Another reason is the expansion of business stack of Internet companies.Internet giants such as Baidu, Tencent, Alibaba, and ByteDance have begun to develop their own chips or invest heavily in the chip industry, and actively joined the game of open source on system software, e.g.Apollo autopilot platform and PaddlePaddle deep learning framework.The cutting-edge demands from chip vendors and Internet giants have ignited the interest of academic research on system software.Many research results have gained international influence, such as the virtualization, IPC/RPC, RDMA, and TEE conducted by Prof.
POPULATION FORECAST WITH THE DATA PROCESSING GROUP METHOD (GMDH) type NEURAL NETWORK FOR EUROPEAN UNION COUNTRIES

Population is a critically important factor in a country's planning, policy making, and setting its social and economic goals. Population estimation and planning in advance are of great importance for policy makers, since the natural resources, which are the production areas where people can meet their basic needs, are limited and they need to protect the areas they live in in order to continue their lives. In this study, the Group Method of Data Handling (GMDH) type Neural Network (NN) approach was used for the annual population estimation of 27 European Union (EU) countries (Germany, Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Cyprus, Croatia, Netherlands, Ireland, Spain, Sweden, Italy, Latvia, Lithuania, Luxembourg, Hungary, Malta, Poland, Portugal, Romania, Slovenia, Slovak Republic, Greece). The data set was obtained from the World Data Bank and analyzed using data from the years 1960 - 2020. The test performances obtained are generally below 10% of the Root Mean Square Percentage Error (RMSPE). The coefficient of determination (R^2) is above 0.90 and generally around 0.99. In addition, the mean absolute percentage error (MAPE) value is below 10%. According to these values, it is concluded that the model predicts extremely accurately. In addition, the analysis was compared with the 2021 - 2032 forecast values in the World Bank Database. According to the findings and comparison results, it has been concluded that the GMDH type Neural Network is a very good approach for the annual population estimation of 27 EU countries, it has almost exactly the same results with the real values in the past years, therefore it is consistent and successful in its predictions for the future years.