Reviewerly/exHarmony huggingface dataset:
The Teaching of english at TK Laboratorium UM Malang / Ristia Yulianti Ahmad

English is the international language, so if you want to be insightful and knowledgeable then the English language is something which is very important to be learnt. Many parents in Indonesia want their children to learn English language at early age. With the right method, learning English will be fun.The design of this study is descriptive qualitative and the subject here is a teacher who has an educational background of English in Malang. This research aims to investigate the teaching of English at TK Laboratorium UM Malang. TK Laboratorium UM Malang is a private kindergarten under the auspices of the State University of Malang. There are three problems in this research: (1) what techniques are used in the teaching English at TK Laboratorium UM? (2) what materials are used at TK Laboratorium UM? (3) what media are used in the teaching English at TK Laboratorium UM?. Some of the techniques used by teachers in teaching English are: songs, exercises, games, listen and repeat, listen and do, and question- answer.The materials used by teachers are the development of SKM (Weekly Lesson Plan) as a guide for teachers to give lessons with themes that are already available in the SKM. Teaching process in class A Star is also supported by the using of media such as: flashcards, realia, television set, and toys and accessories. Being a teacher in kindergarten requires creativity, innovation, and being active in determining and creating techniques and media that are suitable for young learners so that learning English becomes fun for them.The data obtained can complement the findings in different aspects, so readers can get more information about teaching and learning English in kindergartens.
ANALISIS PERSEPSI MAHASISWA AKUNTANSI UNIKOM TENTANG MUATAN ETIKA DALAM PENGAJARAN AKUNTANSI KEUANGAN

The development of the world of globalization now is this has brought the influence of the great in the Accounting Education System. The many technologies that I have developed today are like Iinternet, Computerized Idan Ise Imangat Ease a student in developing his knowledge. But, the technology that is increasingly growing is called Ibamalah Ibagi Guarantee for the world of education for Iberasil and I Achieve the maximum results. This Is This Is Depends On Idari The consistency of the world of education in Indonesia is Indonesia. In Indonesia, almost all of the lectures in financial accounting have not included explicit issues in the ethical planning of the Semester I Learning Plan (RPS). By Ikarena, I This Research I Conducted Experiments for Imposition obtained evidence that I gave the Ethical Implications that were integrated into the accounting studies of the Financial Space in the Influence of the Perception of Student Ethics. From the results of analyzing the data I have collected through the questionnaire and the results of the I hypothesized test, Imaka can be concluded as the following. There is a Significant Difference between the Students' Perception of Accounting for the ethics of the preparation of financial statements for Indonesian Indonesian Computer University between students of undergraduate and D3 degrees.
Analisis dan Desain Aplikasi Pengelolaan Cuti Pegawai di Dinas PU Bina Marga dan Tata Ruang Provinsi Sumatera Selatan

Current technological developments have a good impact on humans, in this case especially for most companies, where technology can facilitate human activities. One technology implementation in the company is the leave management information system. Leave is one of the company's obligations given to employees. The process of managing leave at the Public Works Office of Bina Marga and Spatial Planning of South Sumatra Province is currently considered ineffective. From the leave application process, information on the remaining leave and approval of leave submissions is still done manually. So that employees cannot find out the remaining personal leave rights and another weakness is that the leave application process is less effective and efficient. The purpose of this study is to solve problems with a focus on analyzing and designing system designs so that they can correct deficiencies in the current system and provide benefits in providing information quickly and make it easy for employees to be able to apply for leave and access employee leave information. In this study, the authors used modeling tools in the form of flow maps, systems approach method using object-oriented methods, namely Use Case Diagrams, Activity Diagrams, Class Diagrams and Deployment Diagrams, database system design and user interface design. From the results of the research conducted, it can be concluded that the result is a leave management application design.
3-RSS/S Robot Control System Software and Hardware Co-design and Implementation

To solve the problems of poor dynamic performance and low integration of 3-DOF parallel robots, a set of the parallel robot control system with good dynamic performance and high integration is designed in this paper. The use of integrated control-drive technology not only integrates robot control algorithm and drive algorithms at the software level, but also highly integrates robot control and drive modules at the hardware level. The control system also includes SOPC technology, which makes full use of the excellent parallel task processing capabilities of FPGA and realizes the cooperative work with the on-chip ARM processor. Experimental results show that the above methods can effectively improve the control accuracy and dynamic performance of the parallel robot.
Assessing the Methodological Quality of Empirical Research on Social Media Influencers

Empirical research on social media influencers provides useful insights about this new phenomenon to legal scholars, legislators, and policy makers. Importantly, this research is conducted using different data collection methods and research designs. The goal of the chapter is to enhance drawing proper conclusions from this variety of empirical research as well as understanding the potential but also limitations of it. We first introduce types of questions that can be relevant for legal scholars dealing with issues regarding social media influencers. In this respect, examples are provided of existing empirical research addressing some of these questions. Using the examples, we introduce basic criteria such as validity or reliability that are essential for assessing the methodological quality of empirical research. Finally, we discuss data collection methods used in empirical studies on social media influencers pointing to their strengths and weaknesses regarding validity and reliability, but also to ethical and technical aspects that might be crucial for methodological choices.
LSC-North Harris Library Research Guides: Library Online Learning Modules: Understanding Research Modules

This guide is to serve as a menu of instruction modules to meet the information literacy needs LSC-NH online classes. Each module can be embedded into D2L, and takes 5-10 minutes to complete.
국내 대학에서의 영어 매개 강의(English-medium instruction)의 효과: 메타분석

The present study aims to investigate the effectiveness of applying EMI (English-medium instruction) in Korean universities. For this purpose, EMI-related studies were collected from RISS, Korean academic database, and a comprehensive quantitative meta-analysis of 14 research findings in 8 research articles was carried out in order to integrate the individual research results through calculating the mean effect sizes. The results were analyzed and reviewed in terms of research design, location of university, subject for major or general education, dependent variable, and so forth. The results were as follows: First, using EMI in Korean universities had the moderate positive effects on learners (d = .455, z = 2.719, p =.007). In addition, the higher effect size was calculated in quasi-experimental design than the pre-experimental one. However, in location of university, subject types, and types of dependent variable, no statistically significant differences were observed. Finally, pedagogical implications for successful EMI implementation and suggestions for further studies are discussed.
A SMART TREADMILL BIKE

This project work modifies a treadmill to better fit the requirements of users. Treadmill bike is designed for those humans who love to run outside. Treadmill equipped on bike frame and formulates a big innovation named 'TREADMILL BIKE'. This bike has electronic parts and runs perfectly on human momentum. As the rider walks on the treadmill, the belt butts up against the rear wheel propelling the bike forward. Treadmill bike is designed for runners as the ideal treadmill device, this device combines the best exercise running and cycling to deliver a low-impact, high performance workout outdoors. We believe it is the ideal device for healthy runners. It delivers an exercise experience that is closer to running than anything else available today.
Verbal-Lexical Expression ofIndonesian-Speaking Persons with Brocas Aphasia

This study aims to explain the patterns of construction of verbal expressions in the lexical aspects of Indonesian Brocas aphasia persons. This study was conducted using qualitative-descriptive methods with a case study approach. The results showed that the types of verbal-lexical expressionsof people with Brocas aphasiacomprised the production of quite a lot of language jargon, the occurrence of substitution of target words while speaking, the symptoms of echolalia (repetition of words) and the form of linguistic fillers as of a silent pause, the pause filled form (filled with sounds and words/phrases/clauses), and repetitions of words/topics of conversation.
АНАЛИЗ СОСТОЯНИЯ ПРОБЛЕМЫ ДИАГНОСТИЧЕСКОЙ ДЕЯТЕЛЬНОСТИ УЧИТЕЛЯ

We regard the diagnostic activity of the future teacher as a complex concept, the core of which is the concept of “activity”.Activity is a specifically human form of active attitude to the surrounding world, the content of which is its purposeful change and transformation. Activity includes a goal, a means, a result and the process of activity itself. From the existence of many relationships of a person to the world around him, it follows that there are many types of activity and, therefore, the possibility of their classification.
Active and sparse methods in smoothed model checking

Smoothed model checking based on Gaussian process classification provides a powerful approach for statistical model checking of parametric continuous time Markov chain models. The method constructs a model for the functional dependence of satisfaction probability on the Markov chain parameters. This is done via Gaussian process inference methods from a limited number of observations for different parameter combinations. In this work we consider extensions to smoothed model checking based on sparse variational methods and active learning. Both are used successfully to improve the scalability of smoothed model checking. In particular, we see that active learning-based ideas for iteratively querying the simulation model for observations can be used to steer the model-checking to more informative areas of the parameter space and thus improve sample efficiency. Online extensions of sparse variational Gaussian process inference algorithms are demonstrated to provide a scalable method for implementing active learning approaches for smoothed model checking.
A Machine Intelligence Based Model for the Classification of Odia Printed and Handwritten Images

Language plays an important role for the communication among all of us. It is very much essential to detect the printed and handwritten language from several images to extract crucial information from it. In this paper, a machine intelligence (MI) based model is proposed for the classification of Odia printed and handwritten language (OPHL) from the analysis of several Odia language images. The proposed approach is mainly focused on the machine learning (ML) based hybridization mechanism. This mechanism focuses on the combination of the ML based methods such as Logistic Regression (LR) and Neural Network (NN) for the classification of printed and handwritten Odia images. The proposed method is compared with the ML based methods such as Support Vector Machine (SVM), Decision Tree (DT), K-Nearest Neighbour (KNN), AdaBoost (ADB) and Random Forest (RF) methods in terms of Classification Accuracy (CA) performance metric. The proposed method is able to classify the Odia printed and handwritten images in a better way as compared to other methods. The simulation of this work is carried out using Orange 3.26.0.
Employee Satisfaction And Organization Commitment: Factors Affecting Turnover Intentions And Organization Performance

This study aims to examine the level of job satisfaction and the reason for employee turnover. In this study is conducted to analyses, how much employees are satisfied with their job and also the reason behind their turnover intention. This study is divided into dependent and independent factors that directly affect job satisfaction and turnover intention with different factors. There is a relationship between job satisfaction, organization commitment, organization performance and turnover intention of employees at various levels, whereas job satisfaction and organization commitment consider as an independent factors and turnover intention and organization commitment consider as a dependent factor. It also helps us to examine the various levels of job satisfaction and turnover intention of employees.
Gender Bias in Machine Translation

Machine translation (MT) technology has facilitated our daily tasks by providing accessible shortcuts for gathering, elaborating and communicating information. However, it can suffer from biases that harm users and society at large. As a relatively new field of inquiry, gender bias in MT still lacks internal cohesion, which advocates for a unified framework to ease future research. To this end, we: i) critically review current conceptualizations of bias in light of theoretical insights from related disciplines, ii) summarize previous analyses aimed at assessing gender bias in MT, iii) discuss the mitigating strategies proposed so far, and iv) point toward potential directions for future work.
Ageing as a Boundary Object. Thinking Differently of Ageing and Care

Abstract : Ageing is not only a chronological matter. The following contributions at the crossroad of STS, material gerontology, design, and medical sociology offer alternative views on ageing and care. Ageing emerges as a boundary object through which authors explore the relationship with technologies and technology-based processes and practices. Authors point out that becoming older is a sociomaterial process and emphasize the importance of thinking with care when designing technology as well as the relevance of the socio-technical imaginary in conceptualizing older people. Keywords : age studies; material gerontology; care; co-design; frailty.
Visualisasi Pada Film Documenter Potret “Zipora”

The emergence of the LGBT phenomenon caused polemic in the midst of society. The LGBT problem has become more widespread and has become a topic of discussion in all circles. On the other hand, education is considered as a solution to the problems that occur in society, including the LGBT masses. The results showed that LGBT is a form of sexual deviation and also violation of applicable rules. Their rights as citizens and as part of the community must be respected. The creator makes a work in the form of a portrait documentary with the title VISUALIZATION ON THE ZIPORA PORTRAIT DOCUMENTARY FILM. Tells about the life of a Lesbi who tells a life journey. In the process of creating this work, the creator chooses to take a role as a Director. With the visualization approach the creator presents a different documentary program. With the hope that the audience can see entertained and get information and education
IE-WGAN: A model with Identity Extracting for Face Frontal Synthesis

Abstract Face pose affects the effect of the frontal face synthesis, we propose a model used for frontal face synthesis based on WGAN-GP. This model includes identity extracting module, which is used to supervise the training of the face generation module. On the one hand, the model improves the quality of synthetic face images, on the other hand, it can accelerate the convergence speed of network training. We conduct verification experiments on CelebA data sets, and the results show that this model improves the graphic quality of frontal synthesis.
Developing an Academic Word List for the Students of Health Information Management: A Corpus Study (Research Paper)

Importance of discipline specific vocabulary knowledge is well perceived. Despite the importance of the issue, there is a dearth of empirical research to unravel frequent academic vocabulary in the field of Health Information Management. To fill this research gap, the present study drew on a corpus of research articles and course books written in this field to underscore the concept of Academic Word List. To do so, a corpus of 2,264,981 running words analyzed by Range software package. In the process of research, we proposed a new discipline specific word list specially tailored for the students of health information management which can cover for 15.09% of all tokens in the corpus. This proportion of coverage is an improvement over previous academic word lists. Accordingly, it is hoped that the findings of the present study could contribute to students, teachers, material developers and researchers in this field of study.
Pemanfaatan Algoritma K-Means Untuk Mengetahui Sebaran Data Kecelakaan Lalu Lintas Kota Pekanbaru

Traffic accidents are a problem that requires serious treatment, considering the loss caused. For this study, it is necessary to analyze the available data by mapping the distribution of traffic accident areas. According to the Satlantas Polresta Pekanbaru the number of accident cases in the Pekanbaru area reaches 20-30 every month for students, students, and workers. Stored data can be processed to get new knowledge. This new knowledge can be obtained using Clustering techniques. Clustering is intended to group data that has the same characteristics in the data set. One of the most popular clustering methods in the field of data mining is K-Means. K-Means is able to display data and group information about traffic-prone areas in the Pekanbaru area based on predetermined variables. The results of K-Means will describe the position of data distribution in real conditions using Algolia map. Based on testing that has been done using Black Box testing and User Acceptance Test, the results obtained by 100% with testing of 25 items. In addition, based on User Usability Testing, the results obtained were 93.1%, thus all features of the system have been implemented well so that it can assist the Satlantas Polresta Pekanbaru in analyzing data and has been able to meet the usability aspects
Leader Confirmation Replication for Millisecond Consensus in Geo-distributed Systems

Geo-distributed private chain and database have created higher performance requirements for consistency models. However, with millisecond network latency between nodes, the widely used leader-based SMR models cause frequent retransmission of logs since they cannot know the logs replication status in time, which resulting in the leader costing high network and computing resource. To address the problem, we proposed a Leader Confirmation based Replication (LCR) model. First, we demonstrate the efficacy of the approach by designing the Future-Log Replication model, which the followers are responsible for non-transactional log replication. It reduces the leader's network load using the signal log. Secondly, we designed a Generation Re-replication strategy, which can ensure the security and consistency of future-logs when the number of nodes changes. Finally, we implemented LCR-Raft and designed experiments. The results show that in the single-ms network latency environments, LCR-Raft can provide 1.5X higher TPS, reduces transactional data response time 40%-60%, and network traffic by 20%-30% with acceptable network traffic and CPU cost on followers. Besides, LCR can provide high portability since it does not change the number of leader and election process.
Analisa Kelayakan Tempat Pemakaman Umum Bagi Masyarakat Etnis Tionghoa Berbasis Web GIS

Public cemeteries have a management structure that has been regulated by the local government. If the structure does not run according to its functions and duties, it will cause a problem. Likewise for the Chinese Ethnic residents, where in choosing the location and layout of the tomb according to feng shui they still use the subjective aspect. Therefore, a web-based Geographic Information System (GIS) was built, including tomb layout where the system provides information about the tomb grouping, tomb owner information, tomb rental price information, tomb conditions, number of tombs that are still empty and makes a feasibility analysis of the level funeral suitability. The feasibility analysis of the Public Cemeteries of Chinese Ethnicians uses the Multifactor Evaluation Process (MFEP) method. Making it easier for ethnic Chinese people to determine the layout of the tomb in accordance with their feng shui and assist the Department of the environment in providing information about the layout of the tomb and grouping the tombs to be better ordered
Deep Neural Networks for Multilingual Machine Translation

With the emergence of information and communication technologies and the democratization of the Internet content production, we are facing an informational tsunami of different languages. Newspapers and news websites contribute fully to this content, making the amount of daily circulating data on the web or the printed one hard to grasp. Admittedly, it is very difficult to manage and translate manually and even conventional IT tools struggle to deliver results in all languages. To overcome this challenge, we propose to explore deep learning for multilingual machine translation. This paper presents our newly developed neural text?to?text translation system and its evaluation. The realization of this system has consisted on the corpora elaboration and two deep neural processing modules for machine translation. The system allows users to get the corresponding translated sentences to the sentences that they fed to it, displayed on an ergonomic interface.