Reviewerly/exHarmony huggingface dataset:
Designing a TEFL Mobile Application for EFL Teachers: An Empirical Study

This paper provides a description of designing the KFS TEFL mobile application that provides a new alternative learning material for EFL teachers. The researcher followed the ADDIE Model for instructional design in producing the application. Before designing the application, a semi-structured online need analysis questionnaire was given to 124 participants with diverse nationalities and academic backgrounds to identify the necessity for developing university TEFL courses. Moreover, the most needed topics to be addressed in the application were selected. The data collected by the need analysis questionnaire were analyzed and used as a basis for designing the application. The application is a comprehensive course that includes six main topics covered with varied material: written explanations, video lectures, quizzes and reference books. The researcher employed three programs for designing the application; namely: Microsoft PowerPoint 2010, iSpring Suite Version 9.3.2 and Website 2 APK Builder Version 2.2. Designing and producing such applications meet the increased demands on online learning after COVID-19. In addition, authentic mobile applications can be published on Google Play to reach a huge audience and be financially profitable for their authors. An evaluation questionnaire was administered to a sample of twenty-seven participants who used the application for six weeks.
Active Learning for Deep Object Detection via Probabilistic Modeling.

Active learning aims to reduce labeling costs by selecting only the most informative samples on a dataset. Few existing works have addressed active learning for object detection. Most of these methods are based on multiple models or are straightforward extensions of classification methods, hence estimate an image's informativeness using only the classification head. In this paper, we propose a novel deep active learning approach for object detection. Our approach relies on mixture density networks that estimate a probabilistic distribution for each localization and classification head's output. We explicitly estimate the aleatoric and epistemic uncertainty in a single forward pass of a single model. Our method uses a scoring function that aggregates these two types of uncertainties for both heads to obtain every image's informativeness score. We demonstrate the efficacy of our approach in PASCAL VOC and MS-COCO datasets. Our approach outperforms single-model based methods and performs on par with multi-model based methods at a fraction of the computing cost.
A New Nearest Neighbor Median Shift Clustering for Binary Data

We describe in this paper the theory and practice behind a new modal clustering method for binary data. Our approach (BinNNMS) is based on the nearest neighbor median shift. The median shift is an extension of the well-known mean shift, which was designed for continuous data, to handle binary data. We demonstrate that BinNNMS can discover accurately the location of clusters in binary data with theoretical and experimental analyses.
Informal Learning Programme Manager The Seattle Public Library, United States

The way in which the general public uses libraries has undergone a major revolution in the past decade. In the age of digital interdependence, together with the convenience brought by mobile technology, informal learning spaces and activities have become increasingly popular amongst academic and public libraries worldwide.
Evaluation of the performance of algorithms for synthesizing radar images using Cuda technology

The features of the implementation of the algorithm for the synthesis of detail radar images for an aperture synthesis radar using the built-in functions of the Cuda library are presented. The estimation of computational complexity from the standpoint of the organization of parallel computing on Nvidia GPUs is given. The estimation of the real performance of radar synthesis is given, taking into account the volume and features of the placement of primary radar information.
STRATEGI GURU DALAM MENINGKATKAN KARAKTER 6S MELALUI POSTER DAN SLOGAN

The purpose of this study was to describe the strategies used in improving 6S in SD / MI. This journal uses a descriptive approach, observation data collection techniques, and interviews. Meanwhile, the data analysis technique uses an interactive model. Then test the validity of the data using data triangulation. And the strategy used is to use posters, slogans and posters that are displayed in class and outside the classroom. The results of this study are proven by showing a friendly and fully open attitude with good character, the language style starts from the greeting sentence. which is an example applied by the teacher when going into the room to shake hands and pray together. So it can be concluded that the existence of posters and slogans can increase the attitude and attitude of grade III students
Reliability and Validity Research on the Reading Part in TEM-8 (2016-2021)

TEM-8 is one of the most important exams for higher education (English major) students in China. By collecting and analyzing relevant reliability and validity data of recent TEM-8 (2016 to 2021), the reliability and validity of the examination (reading part) can be understood. This article discusses the exam’s developing trend and provides suggestions for language teachers as well as exam candidates.
List of Reviewers for 2020/2021

The IEEE Transactions on Automation Science and Engineering (T-ASE) wishes to thank the 1344 reviewers over the past year who have performed an essential role in maintaining the quality of this publication. T-ASE strives for the 90–90 standard, i.e., 90% of articles should be reviewed within 90 days of submission. The review process starts when the Editor-in-Chief assigns the paper to an Editor, who assigns it to an Associate Editor (AE). The AE then obtains confirmation from three to five reviewers, carefully studies the results, and makes a recommendation to the Editor, who then makes a decision that is reported back to the lead author. This review process is very demanding, especially under time constraints. We have summarized the process under “Guidelines for T-ASE Editors and AEs for Handling Papers” on our website. I am pleased to report that submissions have steadily increased (over 1000 in 2020) and our impact factor is now 5.083, a 2.94% increase over the past year. As we strive to increase the quality and impact of the journal, we rely on the hard work of our reviewers and members of the Editorial Board. To those dedicated volunteers, and to anyone who may have been inadvertently omitted from the following list, we extend our sincere appreciation.
Spelling Worktext and Performance of Grade 11 Students of Esperanza National High School

This study examined the level of achievement in Spelling of the Grade 11 students of Esperanza National High School and acceptability of the Rule-based Spelling Worktext Module in helping the students improve their spelling competencies. It employed experimental design and utilized 50 students to the control group and 50 students to compose the experimental group. For the experimental group, the researcher used the Rule-based Spelling Worktext while Copy-Only Method was applied to the control group. After allotted weeks for spelling instruction, a post- test was conducted to see if there are significant differences on the performance of students in spelling in control and experimental groups. To solve, analyze and interpret the result of the study, percentages, mean, and z-test were used. Study showed that the acceptability level of the Rule-based Spelling Worktext based on its content, relevance and instructional aspect were all described as “Excellent.” The z-test results showed that the spelling performance of the students from the control and experimental groups was the same in pre-test but not significantly the same in post-test. This implied that the experimental group of students showed significant improvement in the post-test than in control group. This improvement in their performance in spelling could be credited to the Rule-based Spelling Worktext which was used with the experimental group in teaching spelling.
The Practice of Implementing Work Programs of Education in Educational Organizations of the Chuvash Republic

The purpose of the article is to present the practical experience of educational organizations of the Chuvash Republic in bringing the basic educational programs into compliance with the requirements of the Law on Education No. 273-FZ (as amended on July 31, 2020), in particular, on the development and implementation of the work program of education and the calendar plan of educational work as an integral part of the basic educational program to the pedagogical community; to describe the mechanism of organizational and managerial, informational, methodological support of educational activities of educational organizations of the Chuvash Republic. Methods. The study of the dynamics of the readiness of educational organizations of the Chuvash Republic to implement work programs of education was carried out using a comparative comprehensive analysis based on the results of monitoring studies, the compilation of ratings of educational organizations, discussions. Results. The need for organizational, managerial, informational, methodological support of the activities of educational organizations for the development of work programs of education and calendar plans of educational work led to the development of a republican model of methodological support of educational activities. Local activities, as well as the distributed responsibility of the subjects of the republican education system, including methodological support systems, for the preparation of teaching teams for the development and implementation of work programs of education and calendar plans of educational work, provided quantitative and qualitative indicators of the readiness of the regional education system to implement educational activities in accordance with the requirements of the Law on Education No. 273-FZ (as amended on July 31, 2020). Conclusion. The conducted research revealed the existence of an appropriate level of quantitative and qualitative indicators of the readiness of the education system of the Chuvash Republic to implement educational tasks and determined the further direction of its development - methodological support of educational activities of educational organizations, ensuring the quality of this area of work.
MENINGKATKAN HASIL BELAJAR SISWA MELALUI MODEL COOPERATIVE LEARNING TIPE NUMBERED HEADS TOGETHER PADA MATERI SISTEM PEREDARAN DARAH MANUSIA DI SDN KAMPUNG SAWAH KOTA BOGOR

IMPROVING STUDENT LEARNING OUTCOMES THROUGH COOPERATIVE LEARNING MODEL NUMBERED HEADS TOGETHER IN THE MATERIAL OF THE HUMAN CIRCULATORY SYSTEM IN ELEMENTARY SCHOOLS (SDN KAMPUNG SAWAH KOTA BOGOR)The low science learning outcomes are due to students learning only relying on the teacher as the only source of learning, students really depend on the teacher. Learning interactions occur in one direction, students feel afraid if the answers are not the same, new ideas or ideas do not develop, are afraid to ask questions because they are worried that the questions will not hit. Often students do not appreciate the ideas, opinions of their friends, and are lazy to read source books / subject matter. The classroom atmosphere is really calm, orderly, quiet, passive, so that innovation and creativity become deadlocked. This has an impact on student learning outcomes whose average value is still much below the Minimum Completeness Criteria (80). The purpose of Classroom Action Research through the cooperative learning model of Numbered Heads Together type is to improve science learning outcomes on the material of the human circulatory system in class V-A Elementary School (SDN Kampung Sawah, Bogor City). Besides, it also wants to know the teacher's skills in using the model and type of learning in improving science learning outcomes on the material of the circulatory system. Implemented in 2 cycles, one cycle consists of two meetings. The results of this study show that in the initial test (pre-cycle) the average value is only 65.00, the average completeness in the first cycle of action 1 is 69.00, the second action is 77.00 and the average completeness of the second cycle of action is 1 79.00, action 2 86.00 included in the very good category. Absorption and Completeness Learning outcomes in the initial test (pre-cycle test) before the action was taken were 20%, the first cycle showed the absorption and completeness of the class to be 31.43% and 57.14%, while in the second cycle the absorption and completeness of the class increased rapidly to 71.43% and 94.29% which are in the very high category. The results of the study can be concluded that through the cooperative learning model Numbered Heads Together type can improve science learning outcomes for students in class V-A in elementary school (SDN Kampung Sawah, Bogor City).
Development of Interactive Compact Disk Learning Media with Caring For Living Things Theme

This research aims to design and make learning that is packed with Intractif CD to facilitate applying teachers to learning activities with the theme III caring for living creatures of animal and plant subtema in my home environment for grade IV elementary school odd semester. research place in Seskolah Dasar Negara 1 Kandang Kapongan Situbondo Regency with a total of 15 learners. With this research using the ADDIE development model (Analysis, Desagn, Develop, Implement,and Evaluate)bysourced on the results of research, it can be concluded that educational media packaged by Intractif CD with the theme of caring for living things meet the eligibility criteria with the field of media experts obtaining a value of 89.91% listed among the qualifications is very feasible and validation of the field of media experts obtained a value of 86.95% listed qualifications are very feasible, and the renponden in the feasibility and effectiveness of obtaining a value of 86.69% and vice versa effectiveness while effectiveness obtained a value of 85.90%.
The Students’ Attitude toward English Instruction on the EFL Students’ Speaking Class

Abstract: In general, an English teacher uses bilingual method in teaching process. However, a native English teacher uses English only in the class. Due to the new atmosphere faced by the students, the present study aimed to investigate the students’ attitude toward English instruction on the EFL students’ speaking class. This current study employed a quantitative method and it was designed as a descriptive research. The participants of this study were 156 students of English Study Program enrolled at Speaking class, Faculty of Tarbiyah, State Islamic Institute of Parepare. A 20-item survey questionnaire related to the students’ attitude toward English instruction with a five point likert scale was assigned to obtain the data from the participants. The results of the study revealed that the students have a positive attitude toward English instruction. They agreed with teaching English by using English instruction. The students’ cognitive and affective responses showed that the students believed that English instruction could improve the students’ abilities at intermediate level. Furthermore, the students’ cognitive responses indicated that the students’ vocabularies and grammatical knowledge improved. The use of English instruction also gave the students an opportunity to learn pronunciation from the native English teacher. While, the results of affective responses indicated that the students liked to study using English instruction and they were motivated to speak in English.&#x0D;
Pengaruh Minat dan Motivasi Belajar Terhadap Hasil Belajar Matematika Siswa Kelas VIII SMP Negeri 11 Mataram

In the 2013 curriculum teachers are required to use diverse learning strategies so that students' learning outcomes improve, but during the math learning process, students' attention is still lacking, and have no interest in the subject. The purpose of this research is to find out the influence of learning interest, and motivation on the results of learning mathematics subjects grade VIII SMP Negeri 11 Mataram Year Lesson 2020/2021. The research method used is the Questionnaire and Documentation Method, which is used to obtain data in accordance with respondents' opinions related to information about learning interests and learning motivation, as well as collecting UAS grades of grade VIII students of SMPN 11 Mataram odd semester of the 2020/2021 school year, which is then processed with descriptive statistics and simple linear regression. The results showed that there is a significant influence on the interest of learning on the results of learning mathematics, There is a significant influence on the motivation of learning on the results of learning mathematics, and there is a significant influence on the interest and motivation of learning on the results of learning mathematics students grade VIII SMP Negeri 11 Mataram School Year 2020/2021.
An Efficient Aspect based Sentiment Analysis Model by the Hybrid Fusion of Speech and Text Aspects

Aspect-based Sentiment Analysis (ABSA) is treated to be a challenging task in the domain of speech, as it needs the fusion of acoustic features and Linguistic features for information retrieval and decision making.The existing studies in speech are limited to speech and emotion recognition.The main objective of this work is to combine acoustic features in speech with linguistic features in text for ABSA.A deep learning and language model is implemented for acoustic feature extraction in speech.Different variants of text feature extraction techniques are used for aspect extraction in text.Trained Lexicons, Latent Dirichlet Allocation (LDA) model, Rule based approach and Efficient Named Entity Recognition (E-NER) guided dependency parsing approach has been used for aspect extraction.Sentiment with respect to the extracted aspect is analyzed using Natural Language Processing (NLP) techniques.The experimental results of the proposed model proved the effectiveness of hybrid level fusion by yielding improved results of 5.7% WER and 3% CER when compared with the traditional baseline individual linguistic and acoustic feature models.
An Automated Information Retrieval System Design for Interactive Remote, or On-Campus Student Use

Aibstract
Research on Power Marketing Inspection of Power Supply Company Based on Clustering Algorithm and Correlation Analysis

As one of the core businesses of power grid enterprises, power marketing is not only a direct source of income for power grid enterprises, but also an important communication window between power grid enterprises and power users and power generation enterprises. The quality of electric power marketing will directly affect the company’s financial status and corporate image, which is the key work of leaders at all levels of power grid enterprises. As an important part of marketing business, electric power marketing audit plays a role in standardizing electricity consumption behavior of power users and maintaining normal electricity price order. This paper proposes to use big data algorithm to analyze customers’ illegal electricity use behavior. Taking the power supply company as an example, this paper uses big data algorithm to mine and analyze the data related to marketing business, so as to realize the judgment and early warning of users’ abnormal electricity use characteristics.
The Advantages and Disadvantages of Machine Translation from the Perspective of Translation

With the rapid popularization of machine translation, there are always differences between machine translation and human translation, and there are also many differences between machine translation softwares.This paper first analyzes the advantages and disadvantages of AI translation through the comparison of different types of human-machine translation examples, and then through the comparison of examples, this paper analyzes and compares two widely used machine translation softwares-Baidu translation and Google Translation, and discusses their advantages and disadvantages.Thus, hopefully this essay can provide reference information for machine translation users and developers.
Intelligence and Intelligent Simulation

The work presents a new approach to the study of problems associated with the initial definition of the concept of “intelligence”. In work, intelligence is a property that ensures, at some level, the successful interaction of a subject or system with their environment, which is specified in the form of a subject area. For this, the subject area is modeled (smart modeling). Modeling is the process of representing a domain in which the subject must solve the corresponding problems. The domain model is presented as a body of knowledge covering the constituent elements of this domain. Knowledge is a means of describing this model and is determined using a language that includes the logic of describing the corresponding entities of the subject area. Language properties are used to model some abstract formal structure in the form of a mathematical representation. The modeling process consists in a sequential transition from the description of the subject area to an interconnected structure of knowledge, associated with the constituent elements of this area, which are highlighted in the modeling process.
Vulnerabilities in Public Key Cryptography

Cryptography plays a vital role in securing data for IT infrastructure by enabling an adequate level of security to the business.The increased significance of security in the IT infrastructure has raised the demand for public key cryptography.Public key cryptography eliminates the primary concern in private key cryptography, i.e. exchanging the key between the sender and the receiver by having a pair of keys.Public key cryptography enables the exchange of the key even in an unsecured network.After the introduction of public key cryptography, this type of cryptography is the best solution in securing the transmitted data between the sender and the receiver.However, there are vulnerabilities in this type of cryptography that both the sender and the receiver need to know.This research is focused on determining the vulnerabilities of public key cryptography.It also emphasizes how security specialists can overcome these vulnerabilities in public key cryptography.
High Salt and Pepper Noise Ratio Reduction﻿

Colored digital images are affected by salt and pepper noise, affecting their clarity, contents and properties. The negative effect on the image increases with the increase in the noise level. Filters based on average and median filters are not able to remove SAPN with high noise ratios, and accordingly, blurred images are obtained that cannot be dealt with in various image processing operations. In this paper research a modification will be add to median and average filters making them capable of reducing the noise even it has a high noise ratio, the modified average and median filters will be implanted and some comparisons with other popular filters will be made to show the enhancement of the modified filters.