Reviewerly/exHarmony huggingface dataset:
Utilizing E-learning with Pattern Recognition and Mnemonic to Enhance Japanese Characters Learning Experience

Japan is popular for future career purpose despite the difficulty to learn Japanese. Japanese character is different from internationally used alphabet system which causes difficulty for international students to acquire. Pictograph and keyword mnemonic are used in this research so Japanese characters can be visualized as pictures and sentences to aid in memorization. Japanese character learning material with mnemonic is packaged in an e-learning application so students can learn anywhere and anytime. Pattern recognition using Convolutional Neural Network algorithm is implemented to determine the correctness of user's written input. This research aims to design and develop Japanese character e-learning application using mnemonic method and pattern recognition using Convolutional Neural Network and determine whether developed e-learning application contributes to significant difference in Japanese character learning result. Based on conducted research, Japanese character e-learning application using mnemonic method and pattern recognition using Convolutional Neural Network has been designed and developed. Implementation of pattern recognition using Convolutional Neural Network resulted in a model with accuracy of training 99.19%, validation 100%, and testing 88.08%. While the difference between pre-test and post-test result of experiment and control class concludes that there is no significant difference, SMA Citra Kasih students expressed their interest to learn Japanese with developed e-learning application during the interview.
Noise reduction for 8K endoscope images

In the medical field, diagnosis based on images/videos is constantly becoming increasingly important. Recently, an 8K resolution endoscope has been developed. Lighting is necessary to obtain sufficiently lighted images/videos when endoscopic examinations or operations are performed. Although it is necessary to have sufficient illumination, the lighting condition of endoscopes is limited owing to the heat generated by the light source. Poor lighting conditions always produce noise. Particularly, the size of an 8K imaging cell is small, and the number of photons for it is limited. Noise is an important issue in 8K endoscopic images. During a diagnosis, in order to obtain detailed information on an ailing part, same areas are often monitored repeatedly. 8K endoscopic videos have a high resolution; having a high image quality in each frame of still images is important used during diagnoses. However, unlike videos, in still images, observers can easily distinguish not only resolution differences but also degradations, such as noise, in problematic areas. In this study, a total variation (TV) denoising method is used to reduce the noise of 8K endoscopic images.
Leakage Resilient Searchable Symmetric Encryption with Periodic Updation

Searchable symmetric encryption (SSE) scheme allows a data owner to perform search queries over encrypted documents using symmetric cryptography. SSE schemes are useful in cloud storage and data outsourcing. Most of the SSE schemes in existing literature have been proved to leak a substantial amount of information that can lead to an inference attack. This paper presents, a novel leakage resilient searchable symmetric encryption with periodic updation (LRSSEPU) scheme that minimizes extra information leakage, and prevents an untrusted cloud server from performing document mapping attack, query recovery attack and other inference attacks. In particular, the size of the keyword vector is fixed and the keywords are periodically permuted and updated to achieve minimum leakage. Furthermore, our proposed LRSSEPU scheme provides authentication of the query messages and restricts an adversary from performing a replay attack, forged query attack and denial of service attack. We employ a combination of identity-based cryptography (IBC) with symmetric key cryptography to reduce the computation cost and communication overhead. Our scheme is lightweight and easy to implement with very little communication overhead.
When Cute Becomes Criminal: Emoji, Threats, and Online Grooming

Emoji are widely used and are frequently perceived as cute or benign adjuncts to online communications. Employed to humanise truncated digital messages by conveying humour, emotion and sociability, emoji perform a far more sinister role when used to convey threats or to sexually exploit minors. These activities exploit the emotive function of emoji and/or their role in facilitating trust, albeit for a criminal purpose. This paper explores the role of emoji in both threats and online grooming. Through a review of a sampling of criminal cases from diverse jurisdictions, we examine relevant prosecutions and find that emoji are being increasingly recognized as a facilitator or adjunct to criminal threats and unlawful sexual solicitation made on online platforms such as Facebook, Instagram or through private messaging. The review also examines the multiple and diverse ways in which evidence of emoji has been admitted in criminal trials, raising contentious (but hitherto largely unrecognised) issues in relation to the application of the best evidence rule. While noting the distinctive opportunities, challenges and problems posed in relation to how to interpret and best represent these stylised visual representations in criminal proceedings, the article concludes that despite these various difficulties, imposing criminal liability for threats or solicitation conveyed by emoji is a necessary evolution of the criminal law, demonstrating its adaptation to the digital age.
A Study on the Educational Applications of Korean-Japanese Language behavior research : suggestion of a method of analyzing behavior

This study is an attempt to utilize the results of research on Korean-Japanese language behavior in education. Through the case study of a “Japanese-Korean Cross-Cultural Communication” class, I tried to suggest a method of analyzing behavior that could be used for the education of improved Cross-cultural understanding. The behavior analysis method that is proposed in this study is based on the DIE method, Ro Juhyoun (2014a), and Brown & Levinson(1987). The method of analyzing behavior consists of the following three steps. step 1. “ Objective description” “interpretation” “evaluation”’ step 2. Exploration of Behavioral Output Process step 3. Point summary (characteristic / point of understanding) Through this educational application process, the following were presented. (1) The terminology used in the previous studies need to be reinterpreted and rearranged in terms that can be easily understood by learners. (2) It is necessary to add to a database, the results of the previous studies as significant educational material. (3) Further research is needed to identify the cause of the differences between Korea and Japan, which is difficult to identify with previous studies. (4) It is necessary to broaden the scope of the study of language behavior and to study it in terms of a chain of actions.
SISTEM INFORMASI PENGADUAN PRODUK HALAL UNTUK KLASIFIKASI LAPORAN DENGAN METODE C4.5 BERBASIS QR CODE (STUDI : LPPOM MUI JAWA TENGAH)

An agency is encouraged to be able to have a good information system for the agency itself. LPPOM MUI Central Java is an institution where in the classification of complaints reports are still carried out manually, there will be the possibility of human error in the classification process of the complaint report. And this will harm all parties involved. automatically and apply the C4.5 Algorithm for analyzing the results of classifying the complaint report data. And from each complaint report will be classified into 3 parts, namely mild, moderate and severe.
Research on Innovation of Science Fiction Film with Intelligent Equipment

At present, mobile communication technology is in a period of rapid development, and the traditional Internet mode has gradually changed into the mobile Internet mode. Furthermore, in recent years, in people's production and life, intelligent equipment can be seen everywhere. At the same time, intelligent equipment also involves many fields, such as entertainment, health, monitoring and so on. It uses advanced intelligent technology to communicate with people. Moreover, the author finds that intelligent equipment has also entered the film industry, and has broken the traditional mode of the film industry, bringing new experience to people. Therefore, the author believes that in the coming decades, intelligent devices will continue to penetrate into the film industry, especially in the field of science fiction film, which will bring further changes to film shooting and people's experience of watching movies. This paper starts with the definition of intelligent equipment and sci-fi movies, then analyses their development course and current situation, points out the application and shortcomings of intelligent equipment in sci-fi movies industry, and then puts forward the overall trend of future application of intelligent equipment in sci-fi movies industry. The author hopes that this paper can bring some thoughts and references to scholars who study intelligent equipment and science fiction film industry.
Stick User Interface

This paper describes a novel device called the "Stick User Interface", comprised of a robotic projector-camera system, an onboard digital computer connected to the Internet, sensors, and a hardware interface capable of sticking to any surface such as walls, ceilings, etc. The computer further consists of other subsystems, devices, and sensors such as an accelerometer, compass, gyroscope, flashlight, etc. The device unfolds (expands) on activation, detects a surface, and attaches itself to it. After a successful attachment, the device then projects or augments images, information, and user interfaces on nearby surfaces and walls. The user interface may contain applications, information about the object being augmented, and information from the Internet. Users can interact with the user-interface using commands and gestures such as hand, body, feet, voice, etc.
Teaching Writing News Item Text By Using BBC News Video

Writing is the biggest challenge for many students. Many students find it difficult to express the idea and arrange the sentence correctly. To overcome the problems, the researcher used BBC news video. By using video, teacher can create enjoyable class and the students’creativity. The aims of this study are to describe the implementation of BBC news video in teaching writing news item text, and to describe the students’ response after learning by using BBC news video. This research used descriptive qualitative. The subject is twelfth grades students of MIPA 2 at SMA Muhammadiyah 3 Tulangan. The instruments are: field note, documentation, and questionnaire. Source of data was taken from the data of filled notes, documentation, and questionnaire. Based on the finding, there are two meetings. In each meeting, the teacher greeted the students, checked the attendance list and reviewed the subject from previous meeting. Then, the teacher explained the news item text. After that the teacher showed the BBC news video to the students. Afterwards The teacher asked them to write the news item text and analyze the generic structure. In the students response, There are 66% students answer yes and 34% students answer no. it means that, the students feel interested, enjoy, and easier in writing news item text by using BBC news video.
A Smart System of Augmented Reality Type Water Hydraulic Valve-Integrating Bionic Nonliner and Collaborative Design*

Augmented reality(AR) is becoming increasing popular in engineering application. Though AR has been adopted in entertainment industry, the adoption for professional use, especially in water hydraulic is still lagging behind. In the previous studies, collaborative design platform of the water hydraulic valve(WHVCDP) mainly helps designers from different time and places to design the hydraulic valve structures. However it has shortages in interactivity, co-presence awareness and inspiring from the same type of bionic structure in collaborative design. In this paper, therefore, we propose a new collaborative platform using AR to promote the designers collaboration experience. Besides, we put forward an AR type water hydraulic valve collaborative design model in this study. Bionic principle and nonlinear design theory were used to join the bionic nonlinear module model in collaborative design platform. Additionally, taking the design of valve plug as an example, the designing process of the WHVCDP is demonstrated in this paper.
An Interactive and Personalized Erasure Animation System for a Large Group of Participants

This paper introduces a system to realize interactive and personalized erasure animations by using mobile terminals, a shared display terminal, and a database server for a large group of participants. In the system, participants shake their mobile terminals with their hands. Their shaking data are captured by the database server. Then there are immersive and somatosensory erasure animations on the shared display terminal according to the participants’ shaking data in the database server. The system is implemented by a data preprocessing module and an interactive erasure animation module. The former is mainly responsible for the cleaning and semantic standardization of the personalized erasure shape data. The latter realizes the interactive erasure animation, which involves shaking the mobile terminal, visualizations of the erasure animation on the shared display terminal, and dynamic and personalized data editing. The experimental results show that the system can realize various styles of personalized erasure animation and can respond to more than 2000 shaking actions simultaneously and present the corresponding erasure animations on the shared display terminal in real time.
Patient with myelodysplastic syndrome and acute myelocytic leukemia at Dr. Soetomo General Hospital, Surabaya

Background: According to the World Health Organization, there are 250 cases of leukemia globally. The case fatality rate(CFR) is at 76%, for young/middle age, the CFR is 35–40%, and for age older than 60, it is 5–15%. The occurrence of acutemyelocytic leukemia (AML) is 3.5/100,000 people per year, with a higher occurrence in men than in women (4.3 vs. 2.9, atthe age of 67 years old). The incident of myelodysplastic syndrome (MDS) mostly occurs in people over the age of 70 yearsold and tends to turn into AML. The objective of this case report is to know the number of leukemia cases, especially AMLand MDS cases that are based on gender and age. Methods: These data were gathered from 228 leukemia patients from a totalof 434 visits. Incomplete exclusions were applied to 47 people with the age range of 14–77 years old, while the remaining181 people formed the complete sample. The diagnoses of AML and MDS are based on the morphology of blood smear celland hematology analysis. Results: In Surabaya, East Java, Indonesia, AML is found at 38.66% and MDS at 4.98% from181 samples, with higher cases in women than men. Conclusion: In summary, patients with AML diagnosis were related toage; the highest risk of AML was found at the ages of 46–61 years (37.14%) from 70 people. There were four patients withan MDS diagnosis at the ages of 14–29 years, while there was only one older aged patient, aged 62–77 years old (11.1%),showing that the younger age group presents a higher risk. We hope future research will further observe new biomarkers todiagnose AML, MDS, and MDS-related AML.
Fostering Students' Question-generation Skill by Implementing an Online Inquiry-based Learning Platform

The present study sought to promote known educational benefits of information and communication technology (ICT) integration within a higher education classroom setting in South Korea. More specifically, an online platform program originally designed to foster student engagement in learning via inquiry-based (IBL) pedagogies and mobile device (MD), entitled Stanford Mobile Inquiry-based Learning Environment (SMILE), was implemented. 37 sophomores participated in a four-week long program, where they were asked to read a few news articles related to current issues of early childhood education and generate questions, then response to other users' questions, following a facilitator's direction. The student participant's questions were automatically scored out of a 5-point Likert scale by artificial intelligence (AI) embedded within SMILE, whereas their responses were scored by other users. The results revealed that not only did the student participants' scores (i.e., the quality of the questions) increase, but their responses among themselves became more active. The current study proposed several practical suggestions for teacher educators who wish to effectively integrate technology within their higher education settings.
A Framework for Human Motion Segmentation Based on Multiple Information of Motion Data

With the development of films, games and animation industry, analysis and reuse of human motion capture data become more and more important.Human motion segmentation, which divides a long motion sequence into different types of fragments, is a key part of mocap-based techniques.However, most of the segmentation methods only take into account low-level physical information (motion characteristics) or high-level data information (statistical characteristics) of motion data.They cannot use the data information fully.In this paper, we propose an unsupervised framework using both low-level physical information and high-level data information of human motion data to solve the human segmentation problem.First, we introduce the algorithm of CFSFDP and optimize it to carry out initial segmentation and obtain a good result quickly.Second, we use the ACA method to perform optimized segmentation for improving the result of segmentation.The experiments demonstrate that our framework has an excellent performance.
“Beasts in Human Form”: How Dangerous Speech Harms

Recent years have seen an upsurge of inflammatory speech around the world.Understanding the mechanisms that correlate speech with violence is a necessary step to explore the most effective forms of counterspeech.This paper starts with a review of the features of dangerous speech and ideology, as formulated by Jonathan Maynard and Susan Benesch.It then offers a conceptual framework to analyze some of the underlying linguistic mechanisms at play: derogatory language, code words, figleaves, and meaning perversions.It gives a hypothesis for assessing the moral responsibility of interlocutors in dangerous speech situations.The last section applies this framework to the case of demagogic discourse by Catalan nationalists.The framework offered explains how public discourse in Catalonia has harmed social relations and institutions, and is an obstacle to rational resolutions to the political situation.
A threshold research for de-noising operation to the vibration signals based on wavelet package

Abstract Vibration signals are often interfered by salt and pepper noise, impulse noise, Gaussian noise, and other high-frequency noise, affecting the effect of vibration control research. Therefore, de-noising operation is significant for vibration signal in the practical engineering. In order to resolve this problem, wavelet package is used to remove noises from vibration signal. We provide the principle of de-noising method based on wavelet package at first. And then, the threshold selection of the method is analyzed by a vibration signal with noises. As the result shown, the noise can be effectively eliminated. This reflects that the de-noising method based on wavelet package with the hard threshold is effective.
The New Non-Volatile Based On STT-MRAM Lies in The Design and Implementation of High-Speed Cache of Magnetic Random Memory Material

Abstract With the development of semiconductor technology, the buffer of processor integration is getting larger and larger. The high-speed design of storage capacity of traditional memory devices has an important connection with cache. How to design new non-volatile magnetic random memory has become an important step. To solve these problems, researchers at home and abroad have discussed a large number of new non-volatile memory technologies, which have excellent characteristics such as non-volatility, low power consumption and high memory density. The key optimization techniques for the disadvantages of high write power, limited write life and long write latency of the new non-volatile memory are analyzed. Finally, the possible research directions of new non-volatile memory devices in future cache optimization are discussed.
Context-Based Integrative Educational Technique in Profession-Oriented Foreign Language Teaching (Academic Model United Nations)

The aim of the article is to examine the Academic Model United Nations (Model UN) as a context-based integrative educational technique in profession-oriented foreign language teaching (FLT); to point out the context-based integrative nature of profession-oriented language learning and highlight the importance of using product-based educational techniques in FLT for developing students’ future personal and professional autonomy; to identify the ways of integrating Model UN as a format of social mode of teaching. The article provides an overview of an experiment of implementing the Model UN format in the educational process, conducted in 2017 in the National Research University Higher School of Economics (NRU HSE), which proved that Model UN successfully serves as an “educational laboratory” that engages students in cognitive, research, creative and productive activities while using foreign language as a tool of solving problem-based tasks. The work includes the stages of integrating Model UN format in the educational process; analyzes a number of difficulties that may occur and suggests several ways of dealing with them; involves recommendations for preparing students for the roles of Model UN delegates and the criteria of participants’ written and spoken speech assessment. The results of the research show that Model UN, as a highly flexible interdisciplinary educational technique, can be employed in various formats on different educational levels as a tool of modelling the context of students’ future professional activities contributing to the development of their professional intercultural communicative competence (PICC), as well as their future personal and professional autonomy.