Reviewerly/exHarmony huggingface dataset:
Dualities of Form: Considerations of Functional and Narrative Aspects of Design for Data Visualization

Abstract Design expertise's true value is its capacity to render complex information understandable and compelling. To make informed decisions, lay audiences depend on the clarity and resonance of data displays. But these, as created by scientists, journalists, and policy researchers, often contradict principles understood by designers to effectively and convincingly communicate data through visual means. Design education and practice insist that visual form conveys the nature of content, or data, on both objectively functional and narrative levels. This article addresses established best practices for creating clear, functional data displays, using form to clarify data's relevance and reveal its intricacy without distortion. It further advocates exploiting form's narrative potential—to qualify and contextualize information, thus enhancing how viewers internalize data, accept its veracity, and invest interest in its meaning. The author posits balancing this formal duality within data visualizations to best engage and resonate with lay audiences, and so catalyze their participation in the world around them.
Penerapan Algoritma Boyer-Moore Dalam Perpustakaan Virtual SMK Muhammadiyah 1 Samarinda Sebagai Pendukung Pembelajaran Daring

The existence of a library can be a historical chain for the past, a root for living in the present and a guide for stepping into the future. The library of SMK Muhammadiyah 1 Samarinda is a source of student knowledge that can improve the quality of student knowledge. Most of the school libraries in Samarinda, book searches are still not computerized, manual searches or searches cause operational activities to be ineffective and run slowly, from the problems at the school a system is needed that can solve problems so that it can facilitate library visitors and support learning during. Therefore, to overcome this problem, a virtual search system was created by implementing the Boyer-Moore algorithm. The Boyer–Moore algorithm is considered the most efficient algorithm in implementing a virtual book catalog search in the library. The system development tool uses flowchat, and the development method uses waterfall with the stages of development being analysis, design, coding, testing and maintenance. Data collection techniques consist of secondary data obtained by studying literature studies in the form of writings or documents, primary data comes from the location of the study directly, besides that data collection through observation is also carried out, namely direct observation of how the system works, system problems, system input data, existing processes and system outputs
Clustering consumption data – a big data cloud-oriented approach

Edinburgh Postnatal Depression Scale (EDPD) is continuously seeking new and efficient ways to access and process the high volume of data regarding low-voltage customers, taking advantage of the continued technological investments being made in Advanced Metering Infrastructure. Clustering, as a technique, has been widely used to turn that information into typical load/generation profiles. In this context, this study presents a big data cloud-oriented approach, using Azure Databricks, developed to cluster customer profiles into typical load/generation.
Protecting Encrypted Video Stream Against Information Leak Using Adversarial Traces

TLS protocol encryption hides the specific packet content but not the network characteristics. The adversary can determine the relevant information of the video through traffic analysis by using convolutional neural networks. In this paper, we propose a new novel defense mechanism that injects dummy packets into the video stream by pre-computing adversarial traces. Moreover, to deal with different network conditions, we offer two adversarial methods. 1) When the network condition is relatively single, applying traditional adversarial examples will play a good role in the effect with a small amount of bandwidth overhead. 2) When the network condition becomes more complex, we have no prior knowledge about upcoming network packets. Therefore, the traditional adversarial sample method that needs entire stream traces to calculate cannot be applied. To solve this problem, we take advantage of adversarial patches’ input-agnostic and location-agnostic properties to generate “universal” adversarial traces. We experimentally demonstrate that our defense methods are promising solutions in the underlying scenarios.
Protection Aware User Identity and Data Storage (PAUIDS) Scheme for Management of User Identification in Cloud

Cloud computing the technology which have the capability of modifying the method computing strongly, and storage resources will be accessed shortly. User Identification is an entity to detect the user who using the system or website. In information technology the protection of information consistently become a major issue to handle. The data might place in various locations in the world since it become particularly serious. The two main factors regarding cloud technology are information protection and security. The cloud operators can easily reach the sensitive information that affects the data security and protection measures. Therefore, this research protocol mainly focuses on secure data storage that always been a significant feature of quality of service. To guarantee the ‘rightness of users’ information in cloud storage system a Protection Aware User Identity and Data Storage (PAUIDS) algorithm is proposed that separates the document and independently stores the user information in the cloud storage servers. The proposed algorithm reduces the encryption and decryption time in a cloud storage system and providing secure and efficient data storage in cloud environments.
Teaching English to Sanitary Students

English Specific Course books should fulfill the real needs and objectives of the learners of special fields, actually in Corona arena. This study enjoyed a mixed method that evaluated the public textbook for the professional health, taught at Medical Branch. Two standard questionnaires administered in this research after piloting based on a Likert-scale evaluation checklist and Davoodi’s needs analysis questionnaire followed by an interview from the students. Data was analyzed via SPSS software version 22.0 and the findings revealed that the text book entitled “English for professional health students” was suitable for the related course from the students’ attitude, but it did not meet the students’ actual needs. Moreover, it provided valuable implications for students, teachers, syllabus developers and administrators.
The Effects of Strategy-centered Instruction on High School Students’ English Listening Competence and Self-efficacy in Korea

The purpose of this study is to determine how high school English learners can improve their English listening skills by focusing on learning strategies and to think of a teaching model that could improve the English listening ability and English listening self-efficacy of high school learners.Furthermore, it aimed to examine the extent to which strategy-centered instruction could provide an advantage to the students' standardized English listening assessment score and selfefficacy for English listening competence.To do this, the study investigated practical methods of applying strategy-centered instruction that is focused on teaching English listening strategies under various theoretical background.The subjects of the study were 81 students of 2nd grade from a high school in South Korea.As a coeducational school, there were 39 male students and 42 female students.One group of 39 students was chosen as the experimental group, and the other group of 42 students was chosen as the control group.The experimental group was focused on students' learning and using strategies for English listening.In contrast with the experimental group, the control group was taught mainly by traditional teacher-centered English listening instruction.The study was conducted for about 4 months (16 weeks).The main findings of this study can be summarized as follows: 1) It was shown that strategy-centered instruction had a positive effect on the students' English listening competence.2) Strategy-centered instruction had a positive effect on the students' self-efficacy for English listening competence.Both results were found to be statistically significant.
Performance Evaluation of China Internet Monetary Fund Based on Super-efficient DEA

Since 2013, China’s Internet money fund market has entered a new era. On June 17, 2013, Yu’e Bao, jointly launched by Alipay and Tianhong Fund Company, was the first to go public. In just a few short years, the Internet money fund market has developed in full swing, and Tencent, Baidu, and JD have also participated in the development of related change wealth management businesses. This article uses super-efficiency DEA to evaluate fund performance. Through the validity test of 16 sample fund products in 2019, 7 sample funds are valid according to the DEA; and 16 sample fund products in 2020 are tested for validity, 9 sample funds are valid according to the DEA. The research found that most of the Internet financial products have not yet reached their effectiveness, which is mainly reflected in the fund’s custody and management fees. There is still a lot of room for development in China’s Internet fund market.
THE USE OF VIDEOCONFERENCE FOR SPEAKING CLASS IN MAHASARASWATI DENPASAR UNIVERSITY: PRACTICE AND PERCEPTION

The objectives of the research was to investigate and analyze the implementation of videoconference as a method to teach speaking; and to analyze teachers’ and students’ opinion about videoconference. The present research applied a mixed methods research design. The research subjects were 93 students and 2 speaking lecturers. The findings showed that the implementation of videoconference for speaking was seamlessly done. In the pre-activities, lecturer greeted students, sent link of meeting and attendance list, and did apperception. Main activities were done through various teaching methods and strategies for videoconference, namely focus trios, chain speaking and discussion. In the post-activities the students did online game, summarized the lesson, and did the project. The implementation of videoconference mostly utilized Zoom Meeting and others supporting systems, such as: WhatsApp Group, Quizizz, and many more. Lastly, the results of the questionnaire showed positive response as the participants mostly perceive the advantages rather than disadvantages of videoconference provided.
PENERAPAN TAKSONOMI BLOOM DAN KRATHWOHL’S PADA APLIKASI RUBRIK PENILAIAN HASIL BELAJAR SISWA DI SAMARINDA UNTUK ASPEK AFEKTIF

The development of an application for the assessment of learning outcomes in this aspect will help teachers in the teaching and learning process, as well as make it easier for teachers to assess learning outcomes because the rubric is already available for application and there will be output of learning outcomes on the affective aspects of students. In this study using the waterfall model development method. As for what is needed data analysis, needs analysis, technology analysis, user analysis. Design, all data that has been collected in the system design process, so as to facilitate the description of the system and clarify the description of the existing system. Implementation, after doing the analysis and design, then the implementation is carried out, namely the development of the system, in this case starting the program. This application uses three users, namely the TU user, the Teacher user, the Homeroom user to view student data reports and student affective learning outcomes reports. The result of this research is a desktop-based application for assessing student learning outcomes in the affective aspect.
A novel structured light coding and decoding method for fast 3D reconstruction

In the process of structured light three-dimensional measurement, the absolute phase can be obtained from the wrapped phase and the period value K. The period value K directly determines the quality of the point cloud. This paper proposes a novel structured light fringe encoding and decoding scheme, which can quickly and accurately solve the period value K and the wrapped phase: it only needs to project four fringe patterns to recover the absolute phase. This method calculates the high-frequency wrapped phase based on two sinusoidal fringe patterns, then uses the step fringe pattern and the uniform fringe pattern to calculate the period value K of the wrapped phase, and uses the wrapped phase and the period value K to recover the absolute phase. Experimental tests show that the proposed method is accurate for fast 3D reconstruction.
Learning Improved Class Vector for Multi-Class Question Type Classification

Recent research in NLP has exploited word embedding to achieve outstanding results in various tasks such as; spam filtering, text classification and summarization and others.Present word embedding algorithms have power to capture semantic and syntactic knowledge about word, but not enough to portray the distinct meaning of polysemy word.Many work has utilized sense embeddings to integrate all possible meaning to word vector, which is computationally expensive.Context embedding is another way out to identify word's actual meaning, but it is hard to enumerate every context with a small size dataset.This paper has proposed a methodology to generate improved class-specific word vector that enhance the distinctive property of word in a class to tackle light polysemy problem in question classification.The proposed approach is compared with baseline approaches, tested using deep learning models upon TREC, Kaggle and Yahoo questions datasets and respectively attain 93.6%, 91.8% and 89.2% accuracy.
Perancangan Game Edukasi Berhitung Berbasis Mobile Aplikasi Inventor

Technological advances that are developing very rapidly have a positive impact on the development of various educational games that can be designed as a tool to stimulate aspects of early childhood development. This study aims to design a numeracy educational game based on the inventor's mobile application that can be used in early childhood education units. The method used is Educational Design Research (EDR) which is limited to a design model with stages; 1) Preliminary research; 2) Prototyping stage; 3) Phase assessment. This study resulted in the design of a numeracy educational game that can be used by PAUD units to improve numeracy skills, which is one of the aspects of cognitive development. Teachers can also design using the Inventor mobile application to improve other aspects of child development.
Building a Standard Model of an Information System for Working with Documents on Scientific and Educational Activities

To increase the effectiveness of research, it is necessary to have access to systematic information resources of scientific work.Therefore, in any field of science, it begins with research, the search for scientific information, but with the growing number of scientific articles, books, monographs, patents, the search for information becomes more and more difficult.Creating a unified information system that allows scientists to quickly get acquainted with the results of other scientific research and prevent their duplication.The article discusses the technological techniques of distributed information systems that provide scientific and educational activities.The main tasks of creating a model of a distributed information system that supports scientific and educational activities, the functional capabilities of the model, the concept of metadata and the requirements for the metadata profile are described.The task, subject area, subjects, objects, the main functionality of the information system are defined, a list of the main types of information resources is provided.The paper analyzes the functional requirements for such systems.The paper describes a technological approach to creating a standard model of an information system to support scientific and educational activities organized in the form of an electronic library for working with documents on scientific heritage.The article describes the architecture of the information system and the principles of integration with the digital depository, the rules for the presentation and transformation of metadata.
A MODALITY ANALYSIS ON PRESIDENTIAL ELECTION AT 2019 IN INDONESIA: MULTICULTURAL STUDY

A text modality system is a set of views, judgments, and opinions about linguistic phenomena. The theory used in this research is Systemic Functional Linguistics (SFL), which M.A.K Halliday initiated. This study's problem was to analyze the types and values of the modalities in the debate related to multicultural perspective. The data used in this study were 183 clauses and were analyzed qualitatively by using Functional Systemic Linguistic theory. Based on the results obtained through data analysis, Joko Widodo (Jokowi) nominated a probability modalization that shows the clause function as an exchange of information to express the speaker's attitude towards what he stated. Meanwhile, 80 types of modalities were found in Prabowo Subianto. They were nominated with the necessary modalities, which indicated that personal opinions or considerations were mandatory for the goods and services offered or requested.
Digital transformation of educational space: historical and technological approach

Modern society has a need for a systematic analysis of innovative processes that open a new digital era in the development of society. The purpose of the article was to analyze the historical, genetic, scientific and technical prerequisites for the digital transformation of the educational sphere in Russian and world practice; to determine the methodological foundations of transformational processes in education; to identify effective methods of digital pedagogy considering the needs of modern society. Research methods: theoretical and methodological analysis, which allowed us to identify the initial research positions; conceptual and terminological analysis; empirical methods: observation, survey, questionnaire, expert assessment method. The following conditions are necessary for the development of the digital environment in education: the development of digital indicators of the content of the universal competencies of the teacher, the support of the parent community, the material and technical equipment of educational institutions, new digital information tools.
Analisis Sistem Pembelajaran Tematik Sekolah Dasar (Studi Kasus Pada MIN Toweren Kabupaten Aceh Tengah)

The learning system is the most important role in education. MIN Toweren Aceh Tengah has a problem in the thematic learning system. Students have poor learning motivation in class. Analysis of the learning system at MIN Toweren was carried out to find its weaknesses. With the PISCES analysis method, the current performance of the learning system is the main source of problems. The results of the analysis are the basis for consideration for improvements in the learning system. The results of this study provide a solution for the development of a digital-based learning system in grade 1 mathematics thematic lessons at MIN Toweren. From the evaluation carried out on the implementation of this digital learning system, students are considered to be more motivated in learning.
Authentic Assessment of Compulsory Subjects in Primary Schools: A Case Study in the Western Area of China

This article discusses a case study that explores the relationship between 21st century learning and curriculum alignment. It investigates three compulsory subjects: Chinese, mathematics, and English. By inquiring the survey on individual perspectives on curriculum content and authentic assessment in different schools within the scope of western Chinese primary schools, this article concluded that 21st century learning skills are well developed in primary schools. Although authentic assessment from parents’ perspective is diminutive, it is progressive for some students. Numerous factors can influence the actual practice of authentic assessment as teachers and pedagogies significantly contribute to students’ learning outcomes. The authentic assessment in China still has a long way to go in order to boost these learning skills to a higher level.
A Mobile Video Recording Task-Based Approach to Teaching EFL Learners’ Speaking Skills

The purpose of this paper was to investigate whether mobile video recording task-based approach helps non-English majored students enhance their speaking skills. Forty students were selected and assigned to two groups: experimental group and control group. Mobile video recording was presented to experimental students while no training was given to students in the control group in the same task-based approach. The data was assessed to find out whether there were significant differences in terms of fluency, grammar, vocabulary and pronunciation. A questionnaire and a semi-structured interview were also implemented to explore students’ attitudes on the treatment. The study’s results revealed that students in the group treated with mobile video recording task-based approach significantly outperformed those in the control group. Furthermore, the results of the questionnaire and semi-structured interview revealed that the experimental students had positive attitudes towards using mobile video recording to practice speaking English. The study’s findings have led to several ideas and recommendations for the teachers, the students as well as the teaching and learning speaking in Vietnam.
Editorial Applied Artificial Intelligence and Machine Learning for Video Coding and Streaming

The papers in this special section focus on applied artificial inteligence and machine learning for video coding and media streaming.
Performance, Technology and Human Capital

This study examines technology inclusion, education investment, health investment and economic growth in Indonesia using secondary data from world banks processed quantitatively using the moving average autoregression method. We find that investment in health, investment in education, and technology inclusion are positively related to economic growth. This shows that in Indonesia it is in accordance with the solow growth theory where technology in Indonesia has a positive impact along with Indonesia's human capital.
Image Colorization Using Autoencoders

Abstract: Modification of art may be viewed as enhancement or vandalization. Even though for a long time many were opposed to the idea of colorizing images, they now have finally viewed it for what it is - an enhancement of the art form. Grayscale image colorization has since been a long-standing artistic division. It has been used to revive or modify images taken prior to the invention of colour photography. This paper explores one method to reinvigorate grayscale images by colorizing them. We propose the use of deep learning, specifically the use of convolution neural networks. The obtained results show the ability of our model to realistically colorize grayscale images. Keywords: Deep Learning, Convolutional Neural Network, Image Colorization, Autoencoders.