Reviewerly/exHarmony huggingface dataset:
19th International AsiaCALL Conference, President’s Message

Dear AsiaCALLers,&#x0D; It is a delight to welcome you to the 19th International Conference of the Asia Association of Computer-Assisted Language Learning. It is really wonderful to note that after 19 conferences and despite the proliferation of journals and conferences that has occurred in recent years, AsiaCALL continues to be a leader in the field and attracts large numbers of participants from all over the world. This is a clear message of continuing interest and confidence in the association which has always done its best to be accessible to and supportive of scholars from everywhere. Your presence here today, either virtually or in person, attests to the success of our policy – Thank You!&#x0D; I hope that you will enjoy your time here and that you will benefit academically and socially and that, at the conclusion of the conference you will be reinvigorated and return to your homes with many new ideas and a greater willingness to undertake new research or try out something novel in your teaching of languages.&#x0D; Most of all, I hope that you will enjoy new, valuable and long-lasting personal and professional friendships and that you will join us again next year for the 20th International AsiaCALL Conference.
Retracted: A Coordinated and Optimized Mechanism of Artificial Intelligence for Student Management by College Counselors Based on Big Data

[This retracts the article DOI: 10.1155/2021/1725490.].
KLASIFIKASI KEMISKINAN DI PROVINSI BENGKULU MENGGUNAKAN METODE POHON KLASIFIKASI GABUNGAN

Poverty is a global problem that is of concern to the world. It can be seen from the SDGs declaration, which makes poverty a top priority. Good poverty management will help solve other world problems such as hunger, health, welfare, education, and sanitation. To achieve the goal of handling poverty quickly and maximally, an analysis that can identify poor households correctly can be designed so that a targeted program can be designed according to the characteristics of households classified as poor households. One of the statistical methods used to see these characteristics is a classification tree such as the Classification and Regression Tree (CART). The weakness of the cart method if there is an unbalanced dataset type can be overcome by the SMOTE method. In addition to the CART method, classification will be carried out using Random Forest and Xgboost. The results show that the random forest CART model has the highest AUC value in balanced data. It is indicated that this method is better than the others. Based on random forest, variables that determine the most determined poor households are number of household members, last diploma of the head of the home, and floor area of the house.
Aprendizaje colaborativo en entornos virtuales

The research developed is a bibliographical review whose purpose was to analyze the research on collaborativelearning in virtual environments in higher education. The objective of the research is to present a documentarystudy and explain the main research related to the implementation of collaborative learning in virtuality. To developthe research, 25 research articles were consulted on the subject, through the Dialnet, Eric, Scopus, Redalyc, Scielo,Proquest, EBSCOhost databases. The result shows that collaborative learning is favorable and an opportunity forhigher level students to acquire abilities, skills and abilities that favor their comprehensive development and thiswill be evidenced in their academic and professional performance.
A Survey of Video Steganography Algorithms

The need for data encryption has become more important than ever since the appearance of the covid-19 virus which has led to the rate at which cybercrimes are committed to triple. Data is generally in the form of text, audio, video, and image. Over the years researchers have found a way to hide specific information to intended destinations in these data forms. The is called steganography and hiding secret information in video is known as video steganography. In this paper, a survey on some video steganography algorithms have been presented. Recommendations and direction for future works are also discussed in this paper. Keywords: Steganography, cover image, secret data, steganalysis, least significant bit (LSB), motion picture expart group (MPEG), high embedding efficiency, embedding payload
Nghiên cứu mô hình mã hóa thông tin ứng dụng chữ ký điện tử trong quá trình gửi và nhận văn bản

Nowadays, it is a burning issue to ensure the safety and confidentiality of information to avoid any risk of change, copy or data loss in network applications, which is concerned by many people.Global Internet has created virtual structures where the process of information exchange in every area such as policy, military, defense, economy, trade and so on takes place.Additionally, in such an open and convenient condition, problems and negativeness which arise need effective solutions to ensure information security and fight against copyright theft, information distortion, unauthorized access to information and so on.In order to work out solutions to these problems, the article will build application procedure of electronic signatures in the process of sending and receiving texts to check the data integrity in electronic exchange, which is one of the measures of information security.
Điều khiển tần số dựa trên hệ thích nghi hàm Gauss sử dụng Lyapulov cho hệ thống điện hai vùng

This study focuses on frequency stabilization of the interconnected power system with two areas non reheat tuabin.With this object, the system includes many parameters and is a nonlinear system.Conventional controllers (P, PI, PID) only achieve poor control performance such as slow response time, large overshoot.Therefore, this study proposes a Gauss-based adaptive control using Lyapunov to improve control quality compared to conventional control methods.The numerical simulation results obtained on MATLAB/Simulink software confirm the feasibility of the proposed control algorithm.
Student Performance and Perception of the Teaching Methodologies Implemented by COVID-19

The 2007 London Communiqu�� Towards the European Higher Education Area: responding to the challenges of a globalized world confirms that a major effect of this globalization process will be a transition to student-centered higher education. This methodological transition in teaching processes has been accompanied in all cases by technological innovation, but it is the health crisis caused by COVID-19 that drives and accelerates it.&#x0D; Given this, we ask ourselves how student performance has been affected as a result of the accelerated emergence of Information and Communication Technologies (ICTs) in teaching processes, for which the results of the continuous evaluation of students of a certain subject before and after the pandemic.&#x0D; The achievements show that both at a quantitative level and in the perception of the students, the changes have been positive and should have been carried out earlier, that progressivity in teaching innovations loses its meaning due to the volatile and uncertain environment in which we operate and that we learn and teachers are able to adapt quickly, even if this forces them to leave our comfort zone.
Taxonomy-Aware Prototypical Network for Few-Shot Relation Extraction

Relation extraction aims to predict the relation triple between the tail entity and head entity in a given text. A large body of works adopt meta-learning to address the few-shot issue faced by relation extraction, where each relation category only contains few labeled data for demonstration. Despite promising results achieved by existing meta-learning methods, these methods still struggle to distinguish the subtle differences between different relations with similar expressions. We argue this is largely owing to that these methods cannot capture unbiased and discriminative features in the very few-shot scenario. For alleviating the above problems, we propose a taxonomy-aware prototype network, which consists of a category-aware calibration module and a task-aware training strategy module. The former implicitly and explicitly calibrates the representation of prototype to become sufficiently unbiased and discriminative. The latter balances the weight between easy and hard instances, which enables our proposal to focus on data with more information during the training stage. Finally, comprehensive experiments are conducted on four typical meta tasks. Furthermore, our proposal presents superiority over the competitive baselines with an improvement of 3.30% in terms of average accuracy.
The State Academy of Art Studies in Moscow (RAKhN/GAKhN)

The scope of activity and the formation of the AcademyThe State Academy of Art Studies (Gosudarstvennaia [until June 1925: Rossiiskaia] akademiia khudozhestvennykh nauk, RAKhN/GAKhN) was a scientific, art-and cultural-political institution in Soviet Russia, founded in Moscow to further the "comprehensive exploration of all kinds of art and artistic culture" (Sidorov 1927, 78, § 1) in order to function as an advisory body to the People's Commissariat for Education (Narodnyi Komissariat Prosveshcheniia, Narkompros) on culturalpolitical decisions.The Academy was active from 13 October 1921 (the date of its board's convocation under President Petr S. Kogan) to 3 January 1930, when it underwent complete reorganisation due to an ideologically motivated 'purge'; it was finally dissolved on 10 April 1931 (see Iakimenko 2005).The Academy's concept was born of the spirit of 'synthesis'.It was developed in the meetings of Narkompros' scholarly-artistic commission (Nauchno-khudozhestvennaia komissiia) called by People's Commissar Anatolii Lunacharskii, held from 16 June to 13 October 1921.Prestigious exponents of Russian culture joined in the commission's work: artists Wassily Kandinsky, Konstantin Youn, and others), scholars and philosophers (Aleksandr Gabrichevskii, Aleksei Sidorov, Gustav Shpet, Semen Frank, and others) as well as cultural politicians and ideologists (A.Lunacharskii, P. Kogan) all agreed to create a new institution for the fusion of scholarship, art, and cultural politics (see Kogan 1927).As a research institution, the Academy was supposed to create a platform for the new 'history and theory of art' (hence the Academy's protagonists' central slogan; see Gabrichevskii 2002) in which all kinds of scholarly explorations of art (in the cultural, social, and natural sciences and philosophy) constituted a transdisciplinary union intended to overcome the methodical and thematic fragmentation of the individual disciplines of the history and theory of art.Studies on the arts yet to be acknowledged by academia (dance, theatre, poster art, film, folklore), on contemporary art and on applied arts and design were also included in this 'synthesis' of the history and theory of art (Sidorov 1927, 78, § 3) along with the traditional studies on the history of fine arts.This synthesis was supposed to form an organisational and methodical framework in which experimental research would be combined with the historical and theoretical analysis of art.
SOFAR and Auto-link: software tools that bridge the gap between multirotor drone design optimization and CAD

Several types of tools are used to develop drones. Computer-aided design (CAD) is used for developing the drone geometry, and software such as ComQuest Venture’s Typhon UDX is used for aerodynamic analysis. Presently, both are used independently, and a user then manually bridges the gap between the analysis and the CAD to create a final aerostructure. This manual process can lead to long design times and information transfer errors. An automated design process that automatically selects parts from a database optimizes drone parts cost, while meeting key performance requirements could shorten the design time. This paper presents the Sensible Optimization for Aerial Robots tool for automatically minimizing drone systems’ cost using a commercial component database and linking it directly to CAD software. As drones become increasingly popular, this streamlining of the drone development process will reduce both the time and cost required to develop an optimal structure.
Secure Method to Protect Secret Short Messages using Rearrangement Key

An efficient, highly secure and simple method of short messages cryptography method will be introduced. The method will use a rearrangement key to encrypt-decrypt SMs, the key will be generated by running a chaotic logistic map model with a selected parameter, these parameters will form the private secret key which is known by the data sender and the data receiver. The private key will provide the necessary key space to resist hacking attacks. The SM up to I K bytes will be encrypted-decrypted using RK, if the message size is greater than 1 K bytes, the message will be divided into blocks of 1 K bytes’ length, and each block can be encrypted-decrypted using its own RK. The method will be simple and easy to implement, and it can suit any message with any length, the process of encryption is based on putting the character from the SM in its position maintained in the RK, the decryption will be implemented by recovering the characters from the decrypted SM by the indexes in the RK from the index 1 to the index L (L: is the message length). The proposed method will be implemented using various SMs, the results will be analyzed. Based on the obtained values of MSE, PSNR, CC and NSCR it will be proved that the proposed method satisfies the quality requirements in the encryption and decryption phases. The speed of the proposed method will be tested and the obtained results will be compared with other methods speed to show the improvements provided by the proposed method.
Cloud Computing: A Survey

Cloud computing is not a brand-new technology, but it is one of the newest technologies available today because of how much it has changed how data and services are managed. In order to function properly, cloud technology must be scalable, adaptable, extensible, and manageable in order to satisfy the objectives of enterprises. The major change in the computing environment that cloud computing has brought about is the relocation of the data center off-site to a third party and the decision to purchase services rather than directly manage on-site applications. By using it, businesses can save operational costs and concentrate on their core competencies rather than worrying about various IT challenges. Furthermore, the cloud offers genuine portability by making it possible to access programmers and files from any location in the globe using only inexpensive technology and the internet. This paper provides a concise overview of cloud computing by outlining its development, history, definition, and deployment models.
AN ONLINE CLOTHING SHOP FOR BAZYKS SUPERSTORES, GWAGWALADA, ABUJA

This project is built on creating a cutting-edge online clothes stores that will benefit both the administrator and its customers technologically. The system makes use of a shopping cart program created with PHP and a MySQL database. A good user interface between a user and its customers is what the developed system aims to provide. It is built into the owners and customers interfaces. The project then delivers the system design analysis and actualizes the design analysis implementation. The application is hosted on the web, and the administrator maintains the database. The system has high accuracy, flexible design, and simple usability as its features. Prospects exist for using this online clothes stores to manage transactions for Bazyks Superstores, Gwagwalada, Abuja.
Tripartite entanglement and matrix inversion quantum algorithm

Abstract The role of entanglement is discussed in the Harrow-Hassidim-Lloyd (HHL) algorithm. We compute all tripartite entanglement at every steps of the HHL algorithm. The tripartite entanglement is generated at the first quantum phase estimation (QPE) step. However, it turns out that amount of the generated entanglement is not maximal except very rare cases. In the second rotation step some tripartite entanglement is used. Thus, the net tripartite entanglement is diminished. At the final inverse-QPE step the matrix inversion task is completed at the price of complete annihilation of the entanglement. An implication of this result is briefly discussed.
TINJAUAN DESAIN VISUAL BOARDGAME WAROONG WARS Edisi II

Waroong Wars is a board game from Indonesia that can introduce Surabaya signature dishes to the people of Indonesia and abroad. The first printing was published in 2015. Waroong War underwent developments in 2018 resulting in a second printing edition which has a much different visual from the first printing edition. This study will analyze the visual style in the second edition of Waroong Wars which is heavily influenced by the realist style to assess the design. This study uses a descriptive qualitative method with the analysis process using a design critique and is supported by boardgame theory and visual elements. Waroong Wars is an informative, persuasive, and creative board game. Unfortunately, there is no consistency of illustration style that is close to the local flavor. On the other hand, this second edition of Waroong Wars is an interesting strategy to introduce Surabaya's local culinary specialties through the board game and can be applied to other foods.
Best French Android-Based Educational Game For Beginner-Level French Language Learners

In this study, the product that will be produced is in the form of an android-based "Best Frech" Educational Game Media Application designed to make it easier for beginner-level learners in learning, especially learning vocabulary intended for French is a language that is in great demand after English. In addition, French is one of the languages studied in many schools and universities in Indonesia. Although it is in great demand by many people, in the early stages of introducing linguistic rules, it is still difficult to learn French because the grammatical structure and vocabulary are very different from Indonesian. French learning in the early semester, especially in vocabulary learning, needs to be optimized. Therefore, to improve vocabulary mastery, it is necessary to have more interesting learning supported by an appropriate learning medium, namely the maximum use of technology accompanied by interesting material. One of the developments of learning media that can help beginners in learning French is educational games. This study aims to: (1) to design and implement the Best French Android-Based Educational Game. (2) to find out the user's response to the Best French Android-Based Educational Game. The research method used is research and development with the ADDIE (Analysis, Design, Development, Implementation, and Evaluations) model. The features contained in the Best French Educational Game include learning and playing features. In the learning feature, there are letter recognition materials, vocabulary, and conversation patterns while in the playing feature, the material studied is tested in game mode.
Cluster Analysis Using K-Means Method to Classify Sumatera Regency and City Based on Human Development Index Indicator

Human development progress in Indonesia is characterized by the increasing score of Human Development Index (HDI). HDI is an important indicator in measuring efforts to build the quality and equity of human life. HDI consists of four variables including life expectancy at birth, school continuity, average of school continuity and expenditure per capita. In this study, we classify districts or cities on the island of Sumatra based on HDI into three categories; high, middle, and low area. We use cluster analysis for the research. Cluster analysis is a class of multivariate techniques that are used to classify objects or cases into relative groups called clusters. One of the cluster analysis methods is k-means. The result of this research divided into three Cluster. The first cluster or the middle area contained 41 cities. The second cluster or the high area contained 21 regencies/cities. The third cluster or the low area contained 92 regencies /cities. Areas with low scores are of more concern because all indicators are below the average value, these areas are like Pidie, Nias Utara, Pesisir Barat and etc.
Penyebab Ketidaklengkapan Data Diagnosis Pada Rekam Medis Elektronik Terkait Pelaporan(Rl5.3) di Rs St. Elisabeth Medan

Electronic Medical Record (RME) is a computerized health information system that contains social data and patient medical data, and can be equipped with a decision support system. Electronic Medical Records can help better management of patient health services (Andriani et al., 2017). Santa Elisabeth Hospital Medan in inputting its Electronic Medical Record data already uses a web-based application. Where this web-based application is called Sphaira Mobile Electronic Medical Record. This application is still newly implemented and used in the electronic medical record system at the Santa Elisabeth Hospital Medan. With the transfer from manual medical records to electronic medical records, this has resulted in several problems in filling out patient electronic medical records. The purpose of this study was to determine the cause of the incomplete diagnosis data in electronic medical records related to the reporting of the top 10 inpatients (Rl5.3) at the Santa Elisabeth Hospital, Medan. The type of research used is descriptive and qualitative with observation and interview data collection techniques. Based on the results of interviews with the head of the medical record room at Santa Elisabeth Hospital Medan, he stated that the transition from manual medical records to electronic medical records made hospital employees, especially officers in the medical record room, have to adapt, recognize and learn how to operate the Sphaira Mobile Electronic Medical Record application. Factors Causes of incomplete diagnosis data in electronic health records at Santa Elisabeth Hospital Medan: Man. Methods, machines
Perkembangan dan Aplikasi Biomaterial dalam Bidang Kedokteran Modern: A Review

The medical device market in Indonesia experiences growth every year, Indonesia implements imports of medical devices. Indonesia has many experts in the field of medical devices and their production processes, at university, research institutions and other government institutions. The government provides multi-year grants for research on biomaterials and medical devices. Materials to make medical devices are called biomaterials. Biomaterials can be defined as synthetic materials that interact directly with living bodies in the form of implants or as medical devices. Biomaterials can function to repair, replace, support and or restore parts of the human body. Biomaterials have undergone many developments, types of biomaterials, advanced biomaterials adapted to applications in the medical field. Biomaterials can be in the form of metals, ceramics, polymers or composites with research that continues to advance and be developed. This paper aims to highlight types and application of biomaterials in the medical field as well as the potential application of advanced biomaterials in the future.