Reviewerly/exHarmony huggingface dataset:
AN ANALYSIS OF STUDENTS’ READING SKILLS BY USING MIND MAPPING TECHNIQUE

Although reading has been learned by students since they start to learn the English language but it still becomes the most difficult skill to be acquired than speaking, writing, and listening. It is a possibility caused by the students have a limitation of knowledge about reading roles, different learning styles, lazy to read, and low motivation for effective reading because of a too-long passage and different types of text. Therefore, students must be serious to acquire this skill. In this article, the writers would like to introduce a suitable approach for teaching reading using mind mapping techniques. The results of the data, the researcher concludes that the students’ have some difficulties in identifying reading skills and understanding the mind mapping, many of the students have difficulties in this factor because the result shows a high number of percentage give the answer very not good and not good. The last is the result of learning English, most of the students have enough understood about teaching and learning English. After reading this article, the writer expects that this article can help English teachers to apply suitable approach for teaching reading of English texts.
Main Directions of Changing Priority Goals of Professional Education for Teachers of Foreign Languages

The main contradictions in teachers’ training for organizational and managerial activities are revealed. It is investigated that in professional life a student faces problems and difficulties that will contribute to the pedagogical understanding of the situation. It is proved that pedagogical modeling is a process of preparing a student for organizational and managerial activities in the educational process, and a model is a means of carrying out this activity. It is shown that in order to adequately form the organizational and managerial competence of the teacher, the teacher structures his activities, building it into a model. The conditions for the transition from educational activity to the process of student self-education are indicated. A system for preparing a teacher for the implementation of organizational and managerial activities has been developed, providing for the design of an integral educational process.
Reusability and Transferability of Macro Actions for Reinforcement Learning

Conventional reinforcement learning (RL) typically determines an appropriate primitive action at each timestep. However, by using a proper macro action, defined as a sequence of primitive actions, an agent is able to bypass intermediate states to a farther state and facilitate its learning procedure. The problem we would like to investigate is what associated beneficial properties that macro actions may possess. In this paper, we unveil the properties of reusability and transferability of macro actions. The first property, reusability, means that a macro action generated along with one RL method can be reused by another RL method for training, while the second one, transferability, means that a macro action can be utilized for training agents in similar environments with different reward settings. In our experiments, we first generate macro actions along with RL methods. We then provide a set of analyses to reveal the properties of reusability and transferability of the generated macro actions.
Pembeajaran Keterampilan Berbicara Berbasis Daring (Stui Inovasi Pendidik di TK Aisyiyah Bustanul Athfal 5 Medan di Masa Wabah Covid 19)

This study aims to analyze the kinds of online-based speaking skills learning, (2) the various forms of cooperation between parents and teachers in learning children's speaking skills, (3) obstacles in the application of online-based children's speaking skills learning. The research method used is a qualitative method, with a descriptive study approach. The results showed that the variety of learning speaking skills based online was as follows: (1) Learning to tell experiences on holidays, (2) listening to and retelling fairy tales or stories, (3) telling stories about dreams and future the child wants to achieve. The types of collaboration between parents and teachers in learning children's speaking skills are as follows, Intense communication about children's problems, Assisting children in learning from beginning to end of meeting hours. Constraints in the application of online-based children's speaking skills learning are as follows: (1) lack of parental assistance, (2) Internet package constraints, (3) poor internet network, (3) less enthusiastic learning activities.
Self Recoded Video and diary Wrtiting Practices as a Way to Improve Higher Education Students’ English Speaking Skills

ABSTRACT&#x0D; Writing and Speaking are the productive Skills of a language. although higher education students have learned English for years in primary and secondary schools, many of them do not find it easy to speak English in their college years while they will need English during and after they graduate. To improve their English, especially speaking skill, self video recording and diary writing practice was carried out. This study was to analyze the effect of Self Recorded Video and Diary Writing on the improvement of English speaking skill of higher education students. The focus of this research is on four speaking skill categories; Pronunciation, Vocabulary, Grammar and Fluency. to get the answer error analysis is used and the result is presented using descriptive method. The data are students’ self recorded videos and diary writing were carried out once a week once a week in one semester. The result obtained is that self-recorded video and diary writing can improve student speaking skills especially in fluency, pronunciation and vocabulary. &#x0D; Key words: fluency, self-recorded video, diary writing, error analysis, descriptive method
The Contribution of Interest in Reading and Vocabulary: Mastery on Writing Skills of Observation Results Reports Text for Grade 10th Students SMA Negeri of Pasaman Regency

in this paper tries to see the contribution of interest in reading and vocabulary mastery on writing skills of observation results reports text from grade 10 th students SMA Negeri of Pasaman regency.The type of this research is quantitative with descriptive methods by using correlational research designs.The population of the research is grade 10 th students SMA Negeri of Pasaman Regency.Sampling totaling 108 students was done by simple random sampling technique.Data collection is done through questionnaires, objective tests and performance tests.Questionnaires are used to see students' interest in reading, objective tests to see vocabulary mastery and performance are carried out to determine the writing skills of observation reports text.Data analysis and discussion were done by descriptive-analysis Pearson Product Moment correlation test and multiple correlation test.Based on the research conducted, three things can be concluded as follows.First, the contribution of interest in reading to the writing skills of the observation results reports text is 4,80%.Second, the contribution of vacabulary mastery to the writing skills of the observation results reports text is 88,27%.Third, the contribution of interest in reading and mastery of vocabulary to the writing skills of the observation results reports text is 89,10%.
Analisis Media Sosial Facebook Lite dengan tools Forensik menggunakan Metode NIST

Social Media is becoming very popular among the public today, and the increasing number of social media use has of course a good or bad impact on the course of human life, for example the bad impact is doing cyberbully or chating on social media. Digital forensics is one of the sciences for how to catch criminals in digital which will be needed in evidence in court. Social media criminals need Smartphones to commit digital cybercrime. This research will raise evidence of digital crimes on the Facebook Lite application using forensics. In this study, the forensic tool that will be used is the MOBILEedit Forensic Pro forensic tools with the help of using methods NIST National Institute Of Standars Techlogogy. NIST has a good workflow for extracting digital forensic data. The research results will be obtained in the form of accounts Id, audio, conversations, and images
Blockchain in Pharma Supply Chain

Blockchain is an emerging technology these days. It's a chain of blocks organized in a decentralized system witha public ledger having ledgers from initial to final. The pharma supply chain system has a lot of issues considering a large number of intermediaries are involved in it. Blockchain is an effective solution for it since its network is closed and decentralized. It helps to overcome the middlemen problem through its transparencyand traceability. Starting from the manufacturers to the end retailers the products can be traced through the supply chain by ensuring authenticity throughout the processes.If a quality issue of the product is identified, blockchain can facilitate the recalls by determining the location of the faulty product within the supply chain.
A Qualitative Study: Investigating EFL Learners’ Self- Confidence To Decrease The Reticence In Speaking Ability

Language is a pivotal aspect of human being. By learning, language people can communicate with each other, get information from one to another and interact. Unfortunately, in the real condition, it is still difficult for Indonesian students to practice their English ability in daily conversation. This study deals to increase the English as a Foreign Language (EFL) students' confidence in English speaking. This research used qualitative analysis by distributing questioner. This study suggest that EFL teachers should seek ways to increase students' collaboration in the classroom to help them gain confidence in speaking. The study involved the students in the fifth semester in the English Department at Tidar University. The researcher compared the gathered data with other relevant researches and theories involved in the study. Based on the research questions, the research result shows that students’ perceptions of self-confidence have a significant to decrease reticence in speaking skills. However, lecturers need to push the students in practice speaking English in front of a class, especially to improve the self-confidence when the students are communicating in English. Two research questions were formulated in this study. There are: (1) what are the factors of the EFL students’ reticence in speaking? (2) Do the students have high self-confidence in speaking skills? In conclusion, this article showed the results that EFL Learners’ self-confidence can be decreased the reticence in speaking ability or not. keywords: Self-confidence, speaking ability, EFL students, qualitative study
Research of augmented reality marker recognition systems

There are different ways to implement augmented reality. The marker method remains the most reliable and stable. An attempt has been made to determine which of the existing marker systems is better, more accurate, more reliable, and more convenient. A comparison of existing marker systems using visual markers encrypted using planar squares was made. The assessment was made based on criteria such as convenience, efficiency, accuracy, and reliability. Techniques used during the experiments: determination of processing time for detection and decoding of the marker, accuracy of determination of special points, recognition of the marker in case of projective distortions, recognition of several markers, recognition with a small area of the marker in the image, recognition in poor image focus. Four marker recognition systems were used for comparison. The evaluation results of both qualitative and quantitative in terms of ease of use, efficiency, accuracy, and reliability of such systems are presented. This provides an analysis of the advantages and disadvantages of various aspects of marker tracking systems.
The Effect of Mastery Reading Strategies Towards Reading Text Skilss in Higher Education

The aim of this study was to describe and to analyze the effect of reading strategies toward students' reading text skill.This study used the quantitative method with the descriptive correlational design.The population was 250 students who attended Bahasa Indonesia subject in all Higher Education, and 150 students were taken as samples by using proportional stratified random sampling.The instruments of this study were Likert scale and a reading text test which has been valid and reliable.The data were analyzed by using descriptive statistic, simple regression and multiple regressions.The result showed that there was the effect of reading strategies toward students' reading text skill.
Improving The Accuracy of Student Problem Identification Using Rule-Based Machine Learning

Adolescence are a period of development that is vulnerable to problems and often makes teens unable to control emotions. No exception for adolescents who are studying high school. Problems that do not need to be resolved immediately and bigger problems will arise later on. Many methods of solving students' problems are carried out in a conventional manner which takes time and costly. Therefore, teacher guidance and career guidance at school use the problem checklist method to identify student problems. One thing that promises to improve accuracy with time to identify problems by building information systems using intelligent technology such as machine learning. Machine learning offers sophisticated techniques built by automatic classification that can be utilized by students and teachers to improve accuracy and efficiency in identification. This article discusses issues related to problems faced by senior high school students and proposes a knowledge-based users (rules) machine learning to match the problems and alternative solutions. This system can be used by school counsellors to help students solving their problems and the students to access themselves without having to meet the school counsellor. The results of this research indicate that information system developed based on rule-based machine learning offer a student problem identification which is more accurate, faster, can be done anytime and anywhere, and requires less cost compared to existing conventional methods. Analysis of machine learning with rule-based models using WEKA gives 100% accuracy.
Correction: Seno, A.H.; Ferri Aliabadi, M.H. Impact Localisation in Composite Plates of Different Stiffness Impactors under Simulated Environmental and Operational Conditions. Sensors 2019, 19, 3659

The author wishes to make the following correction to this paper [...].
New Solutions for Digital Advertising: Gen Y Playing Roles of Personas

In this article we continue our interest in generation Y, Millennials, abbreviated Gen Y As we assumed, we confirm with a short survey that they are really innovative and creative. In that article we proved Gen Y’s creativity with using methodology of international survey on DOBA’s online student’s bachelors’ courses of Advertising Campaigns. For these student’s creativity overwhelmingly meant Original/Different/ Unique (64,28 %), therefore we assumed that they were the right personas - first persons to share creative products/services further. This hypothesis was confirmed in a case study in which students play personas. We recommended that our students design persona with characteristics of one of their team-mates, on real-life data. The results of this case study were useful innovations for promoting online study of DOBA Faculty. With this method we could turn business models into reality and make them interesting and worthy of buying from modern consumers. Our practical implications are that a smart company/business/entrepreneur/ creative industry should involve Millennials as their key persona when preparing their advertising campaigns, especially on social networks with its interpersonal relations. This solution could strengthen and empower their link with consumers and increase their profits.
Sometimes You Want to Go Where Everybody Knows Your Name

We introduce a new metric for measuring how well a model personalizes to a user's specific preferences. We define personalization as a weighting between performance on user specific data and performance on a more general global dataset that represents many different users. This global term serves as a form of regularization that forces us to not overfit to individual users who have small amounts of data. In order to protect user privacy, we add the constraint that we may not centralize or share user data. We also contribute a simple experiment in which we simulate classifying sentiment for users with very distinct vocabularies. This experiment functions as an example of the tension between doing well globally on all users, and doing well on any specific individual user. It also provides a concrete example of how to employ our new metric to help reason about and resolve this tension. We hope this work can help frame and ground future work into personalization.
Real-Time Data Center Design using Firebase: A Case Study of Sales System Design

There is a need for a system that can connect producers and consumers of coconut flour in sharing information and making transactions, therefore we make this study try to design an efficient and effective communication platform for the coconut flour industry.The high demand for coconut flour from consumers and their remote locations has triggered the development of a real-time system that can solve communication problems between them.This design involves diagrams such as usecase diagrams, flowchart diagrams and activity diagrams for centralized realtime data logic.The result is a realtime database using Firebase as a centralized data implementation and because of the ease with which the cloud system is connected to Android on the user's smartphone side to place orders.
Research on Journalistic English Teaching Model in Big Data Era

The advent of big data era has contributed to a rapid development of the Internet + teaching model, resulting in the fact that the traditional way of journalistic English teaching finds it difficult to suit the needs of the society and that new methodologies in journalistic English teaching which can keep up with the times should be introduced.Only by coordinating the characteristics of the big data era, advancing an inclusive development between multiple teaching model and concentrating our efforts on developing students' internal driving force in learning, can we, in a more effective way, improve their ability of using English as a language.With my own experience in teaching, I have analyzed different features in journalistic English teaching and conducted a proactive research and study in the big data era from different angles, hoping that it could serve as a useful reference for the design of journalistic English teaching model.
IMMIGRATE: A Margin-Based Feature Selection Method with Interaction Terms

Traditional hypothesis-margin researches focus on obtaining large margins and feature selection. In this work, we show that the robustness of margins is also critical and can be measured using entropy. In addition, our approach provides clear mathematical formulations and explanations to uncover feature interactions, which is often lack in large hypothesis-margin based approaches. We design an algorithm, termed IMMIGRATE (Iterative max-min entropy margin-maximization with interaction terms), for training the weights associated with the interaction terms. IMMIGRATE simultaneously utilizes both local and global information and can be used as a base learner in Boosting. We evaluate IMMIGRATE in a wide range of tasks, in which it demonstrates exceptional robustness and achieves the state-of-the-art results with high interpretability.
An Ensemble Approach for Automatic Structuring of Radiology Reports

Automatic structuring of electronic medical records is of high demand for clinical workflow solutions to facilitate extraction, storage, and querying of patient care information. However, developing a scalable solution is extremely challenging, specifically for radiology reports, as most healthcare institutes use either no template or department/institute specific templates. Moreover, radiologists’ reporting style varies from one to another as sentences are written in a telegraphic format and do not follow general English grammar rules. In this work, we present an ensemble method that consolidates the predictions of three models, capturing various attributes of textual information for automatic labeling of sentences with section labels. These three models are: 1) Focus Sentence model, capturing context of the target sentence; 2) Surrounding Context model, capturing the neighboring context of the target sentence; and finally, 3) Formatting/Layout model, aimed at learning report formatting cues. We utilize Bi-directional LSTMs, followed by sentence encoders, to acquire the context. Furthermore, we define several features that incorporate the structure of reports. We compare our proposed approach against multiple baselines and state-of-the-art approaches on a proprietary dataset as well as 100 manually annotated radiology notes from the MIMIC-III dataset, which we are making publicly available. Our proposed approach significantly outperforms other approaches by achieving 97.1% accuracy.
Meningkatkan Kemampuan Menulis Bahasa Jepang Melalui Media Padlet

This research is based on efforts to improve writing skills in Japanese. Writing activities are an important aspect of learning a language. This study used samples from beginner-level Japanese learners, namely apprentices at LPK JLMC Lembang, West Java. The research design used in this study is true experimental, using the experimental class and the control class in research activities as a comparison of whether or not the effectiveness of the padlet media in learning to write Japanese. The writing activity referred to in this research is writing danraku (paragraphs) in the form of short essays using padlet as a media for doing exercises. The first step in this study was to carry out a pre-test on the control class and the experimental class. Furthermore, the treatment with padlet media was carried out five times in the experimental class. The final step is to provide post-test to the experimental class and control class, as well as to distribute a special questionnaire for the experimental class. The results showed that the use of padlet media was quite effective in learning to write Japanese. This is based on the N-Gain test which shows the figure of 58%. Furthermore, based on the results of the questionnaire, it was found that an attractive padlet display could increase learner motivation in writing activities. In addition, the use of letters, vocabulary and sentence patterns can be improved.
"Initial trial on the transport of blood products using an unmanned aerial vehicle (UAV) in Japan in preparation for a disaster"

Objective:We determined to examine the effects of transport by unmanned aerial vehicle (UAV) on quality of red blood cell solution.Materials and methods: Two bags of RBC solution (RBC#1 and #2; 1 bag: 280 mL) were supplied from Japan Red Cross Society.RBC solution was separated into two bags (1 bag: 140 mL).UAV group implies the RBC solution in an ATR (FUJIFILM Toyama Chemical Co. Ltd., Tokyo) transported by UAV.Control group implies the RBC solution in another ATR, not flown.In sampling from RBC solution at day 11 (four days before transport), day 16 (day after transport), lactate dehydrogenase (LD), potassium, blood sugar, lactic acid, and pH were measured. Results:We compared the biochemistry between UAV and the control group and observed no significant differences.Although the lactate dehydrogenase (LD) level in the UAV group slightly increased, the LD level post-filtration was very similar between the UAV and control groups. Conclusion:In conclusion, we could fly and transport the ATR containing an RBC solution using a UAV, and the transport by UAV did not significantly affect the quality of the RBC solution.