Reviewerly/exHarmony huggingface dataset:
Handout sebagai Perangkat Pembelajaran Praktis

This learning device development was based on the observation at Public Vocational High School 3 Singaraja where the problems that occurred were 1) students only waited for teachers’ explanation, and 2) no applicative material that made the learning process difficult. The subject of this research and development was Basic Electricity and Electronic teacher from the class of X-TITL 1 in Public Vocational High School 3 Singaraja and its 35 students. The product testing was performed in two stages: 1) limited test, and 2) implementation test. The data instruments were validation and observation sheets, where the measurement aspect from the data collection was learning device validity and learning device practicality. The handout validation results obtained 80.6% score, the observation sheet of learning device implementation got 87.5% score, and the observation sheet of teacher’s activity obtained 92.6% score. The practical test of learning device was based on the analysis and observer assessment on the observation sheet of a learning device and teacher’s activity. The total percentage of learning activity was 80.4% (70% < PR < 85%), or a good category. The total percentage of teacher activity was 80.8% (70% < PG < 85%) or an active category. Thus, from two observations above, it could be stated that the learning device met the practicality criteria. Keywords: handout, valid, practical
Data modelling and data processing generated by human eye movements

Data modeling and data processing are important activities in any scientific research. This research focuses on the modeling of data and processing of data generated by a saccadometer. The approach used is based on the relational data model, but the processing and storage of the data is done with client datasets. The experiments were performed with 26 randomly selected files from a total of 264 experimental sessions. The data from each experimental session was stored in three different formats, respectively text, binary and extensible markup language (XML) based. The results showed that the text format and the binary format were the most compact. Several actions related to data processing were analyzed. Based on the results obtained, it was found that the two fastest actions are respectively loading data from a binary file and storing data into a binary file. In contrast, the two slowest actions were storing the data in XML format and loading the data from a text file, respectively. Also, one of the time-consuming operations turned out to be the conversion of data from text format to binary format. Moreover, the time required to perform this action does not depend in proportion on the number of records processed.
Studi hubungan antara penguasaan kosakata dan minat menulis dengan keterampilan menulis deskripsi pada peserta didik kelas V sekolah dasar

This study aims to 1) knowing whether there is a relationship between vocabulary mastery and description writing skills; 2) knowing there is a relationship between writing interest and description writing skills; 3) knowing whether there is a relationship between vocabulary mastery and writing interest together with descriptive writing skills. This research uses survey correlational study method. The population of this study were students of class V SD in Laweyan District, 2020/2021 academic year. Data collection techniques using tests and questionnaires. Based on the data analysis, it can be concluded that 1) there is a significant relationship between vocabulary mastery and the skill of writing descriptions of r count (0.72), the correlation coefficient was tested by t test, the results of tcount (10.36)&amp;gt; t table (1.66); 2) there is a significant relationship between writing interest and writing skills description r count (0.42), the correlation coefficient was tested by t test, the results of t count (4,63)&amp;gt; t table (1.66); 3) there is a significant relationship between vocabulary mastery and interest in writing along with descriptive writing skills ry12 of (0.85), the coefficient of significance with the F test is obtained Fcount = 136,47&amp;gt; Ftable = 3.09
Ranking Model Applying Self-Organizing Maps and Factor Analysis

The present work aims to use Self-Organizing Maps (SOM) to group ranking results obtained by factor analysis. In this paper we propose the application of Factor Analysis at a stage prior to the application of the SOM, in order to use the factor scores of latent variables as input data for network training, as these scores carry practically all information regarding the variables of the lattice problem, losing only an insignificant portion of variability. Thus, the resulting map will present the cluster according to the efficiency shown in the Factor Analysis. The application refers to the performance evaluation of 50 employees of a company by means of scores on four psychological assessment tests (exams) and three indicators of sales results. The result of ranking these vendors according to performance was grouped into four homogeneous clusters.
MODEL OF AN INTERACTIVE GAME ENVIRONMENT FOR LEARNING OF NATIONAL HISTORY

N. Noev 1, G. Bogdanova 1, T. Todorov 2 1Institute of Mathematics and Informatics at the Bulgarian Academy of Sciences (BULGARIA) 2St. Cyril and St. Methodius University of Veliko Tarnovo (BULGARIA)
Optimized Apriori Algorithm Description and Application in Vehicle Fault Phenomenon Correlation Analysis

This paper proposes an optimized Apriori data correlation analysis algorithm and describes it, and evaluates the results of the model in the correlation analysis of vehicle fault phenomena. The algorithm reduces the load of I/O interface and improves the computational efficiency by optimizing the number of frequent itemset and pruning In the data mining process. The algorithm is applied to the correlation analysis of common faults in vehicle engine system. The optimized traversal method enables it to quickly find frequent patterns, correlations and causal structures among fault data sets, and detect potential correlations among faults, which achieves better application effect.
Person re-identification by shifting-subclip

Because of the proliferation of surveillance camera and the wide range of its utilization, person re-identification (re-ID) technology has been drawing attention. Although video-based re-ID to extract spatial and temporal features has become the mainstream these days, the number of input frames for most of video-based re-ID architectures is usually fixed. Thus, frame looping or frame duplication is applied if the number of input frames is less than the specified value. However, by applying CNN to the entire looped frames, the temporal features cannot be well trained. Therefore, in this paper, we propose a method to apply CNN not to the entire looped frames but several times to the neighboring frames by shifting frames (shifting-subclip), then the average of each CNN output is processed for further temporal feature extraction. The evaluation using the MARS dataset shows that mAP (Mean Average Precision score) and CMC (Cumulative Match Curve) with the proposal is higher than that without it. It suggests that it is effective to apply the proposed shifting-subclip in the MARS dataset.
Report: Phone scam targets persons scheduling vaccine appointments

Scammers have a new target --  people looking to get the coronavirus vaccine. They’re pretending to be hospital staff, telling people to pay up or there will be no vaccine.
Expanded Poetry and the Beat Generation

This essay explores the interdisciplinary poetics of California poet ruth weiss through the lens of expanded poetry, a legacy of Gene Youngblood’s theory of expanded cinema, Encarnacion-Pinedo frames “expanded poetry” as a useful tool to use in the classroom to understand weiss’s integration of the written word, visual image, and musical sound.
Wordless Picture Books: A Media to Facilitate Students in Writing Descriptive Text

As a productive skill, writing is not easy especially writing in English.However, there are many ways that can be used to train students to write like using various media.One of those media is wordless picture books.The purpose of this study was to determine the effect of wordless picture books on junior high school students in writing descriptive texts.Researchers used a quasi-experimental method with two classes; experiment and control.The sample of this study were 64 students of 7th grade in SMPN 1 Candi, Sidoarjo.Test was used as the instruments to get the data.From the results of statistical calculations in the experimental class it is known that the average score of the pre-test is 59.91 while the average score of post-test is 84.91 (the difference in the average score is 25).Meanwhile, the results of statistical calculations in the control class revealed that the average score of pre-test is 58.75 while the average score of post-test is 61.91 (difference in average score is 3.15).The results show that the t-value is higher than the t-table (16.80> 1.999) with a degree of freedom of 72 and a significance level of 5%.Thus, the alternative hypothesis (Ha) is accepted and the null hypothesis (Ho) is rejected.In short, it can be concluded that there is a better achievement for students who are treated by using wordless picture books in writing descriptive text compared to students who are not treated using wordless picture books.
METHODS INFECTIOUS DISINFECTION PRINTED PUBLICATIONS

The article gives a generalized experience of quitting the libraries that was introduced as a result of the spread of the COVID-19 influenza virus. The methodical recommendations of a number of leading libraries and library associations of the world are given
Text Summarization System: An Extractive Approach using Hierarchical Text Clustering

The need for summarizing texts evolves from the large amount of data present in electronic channels which leads to distraction of users and wastage of their time.There are generally two major techniques for text summarization: extractive method and abstractive method.The extractive method has proven to be quite reliable and involves extracting the key sentences from the document to form a summary.In this paper, an unsupervised text mining model is developed for clustering and summarizing texts.The model is deployed into a web-based system for summarizing large documents.Using the informational criteria of redundancy, coherence, speed and information coverage, our approach chooses 'not likely', 'high', 'fast', and 'medium' as semantic dimensions values for the criteria respectively.
Cyberspace Operations Functional Capability Reference Architecture from Document Text

The COMET project applies structured text analysis, semantic similarity and ontology learning theory, along with NLP to investigate automated and semi-automated methods for extracting knowledge from text policy documents and transforming that knowledge into a structured form for use in a Functional Capability Reference Architecture (FCRA) for cyberspace operations. Progress and results are reported.
Target Needs in Writing Essay Material Based on Brainwriting Strategy

Teaching material for writing an essay that accordance with the target needs is very important to give to the user, this is an effort to improve the user's ability to write an essay.Based on this matter, this study aims to develop teaching materials for writing an English essay that is appropriate to the target audience and their needs, namely by developing English essay writing skills in the teaching materials.This will be characterized by brainwriting strategies.The method used in this study is research and development (R & D) which is focused on the analysis of
PENGEMBANGAN MEDIA PEMBELAJARAN IPS SD tentang GEJALA ALAM MELALUI VIDEO ANIMASI

This study aims to develop social studies learning media in elementary schools about nature rehearsals through animated videos. The method used in this research is Research and Development (R&amp;D). Based on the research results, it can be concluded that the use of multimedia-based learning media has a positive impact in supporting efforts to improve social studies learning outcomes.
IMPROVING THE STUDENTS’ READING COMPREHENSION ON DESCRIPTIVE TEXT THROUGH JIGSAW TEACHING STRATEGY

The research was based on a preliminary study on the problems related to student reading comprehension. The problems of the study were (1) students have little understanding to convey the meaning of words in the descriptive text, (2) long sentences in the descriptive text make students confused in understanding the meaning of the text, (3) students have a little interest in learning and understanding the meaning of the text, (4) teachers have difficulties to find the suitable method to stimulate students in learning reading text. This study was a classroom action research for the seventh-grade students of SMP Negeri 2 TelukGelam of OKI and its inquiry to improve student's reading comprehension on the descriptive text through jigsaw teaching strategy. This research was conducted in two cycles, each cycle has four steps these are (1) plan, (2) action, (3) observation, and (4) reflection. To collect the data, the researcher used the instrument of observations and tests. The data obtained were presented in two ways, qualitatively and quantitatively. The findings showed that there was an increasing average score from cycle 1 (61.60) to cycle 2 (83.75). It means that was 22.15% of students improving their reading ability to cycle 2. Based on the result, it is concluded that the jigsaw teaching strategy can improve students’ reading comprehension of the descriptive text in cycle 1 to cycle 2.
Two-layer image coding compatible with JPEG XS

A two-layer image coding method compatible with JPEG XS is proposed. JPEG XS is a new international standard for still image coding that has the characteristics of very low latency and very low complexity. However, the image quality is saturated at a certain quality level in general, although JPEG XS compression may be able to achieve visual lossless coding. The proposed method has a two-layer structure similar to JPEG XT, which consists of JPEG XS coding as the base layer and the extension layer. In an experiment, the proposed coding is demonstrated to outperform JPEG XT in terms of the coding efficiency, while maintaining compatibility with JPEG XS.
E-modul bahasa Inggris Kelas X : expression of congratulation and compliment

Expression of congratulation is an expression that we use togive the congratulation utterance when someone succeeds indoing something. For example.Congratulations on your new job!Congratulations on your success!Congratulations on your achievements!.
Sistem Informasi Ujian Online Tryout Berbasis Web Di Bimbingan Bela-jar Mystaners Bintaro Jakarta Selatan

MyStaners is a tutoring institution that focuses on educational courses for candidates of new student admission selection (SPMB) in Politeknik Keuangan Negara (PKN) STAN. MyStaners wants to build web-based tryout online examination services. In this research will be built web-based tryout online examination services information system with the scheme type of questions and assessment test that appropriate with SPMB PKN STAN. This web-based system is built with the PHP programming language, Codeigniter framework, and MySQL database.
Neural-network-based optimal mode estimation for adaptive affine motion compensation

Affine motion compensation (AMC) techniques are attracting much attention as one of promising tools in video coding. As an introduction of AMC increases the number of MC modes, an efficient mode selection technique is necessary to maximize the potential of AMC, which actually requires quite high computation cost. This paper thus tries to estimate the optimal mode in an AMC scenario using a neural network (NN). The experimental result indicates that our NN gives an efficient model selection technique in term the rate-distortion-based criteria.
Methodological foundations for the implementation of a new format of the final state exam for graduates of the bachelor’s program in pedagogical education

This article deals with the problem of the revision of the content and form of the final state examination for the graduates, who are majoring in “Pedagogical Education”. The existing approaches to final tests are normalized, and a new format for the final state examination is determined. A model of an examination task, which is introduced in the present work as a fund assignment, is based on the efficient combination of systemic, activity, and competence-based approaches. Methodological foundations for the assessment of universal fund assignments are determined, which can be implemented for the evaluation of the graduates’ competencies in various disciplines of pedagogical education. The authors come to the conclusion that the combination of fund assignments, their specification, and test variants for the disciplines of the subject training for graduates determine the content of the evaluation tools for conducting the final state exam.
THE STUDENTS’ INTERESTS TOWARDS THE USE OF SEMANTIC MAPPING STRATEGIES IN TEACHING VOCABULARY

This research investigates the students’ interests toward the use of Semantics mapping strategies in teaching vocabulary and focuses on giving and explaining the direction. The researcher used qualitative method. Data were collected by conducting observation and giving questionnaire to the respondent to find out the students’ interests toward semantic mapping strategies. The populations of this research were 14 students. In choosing sample, the researcher applied total sampling. The researcher chose class eight of SMP Plus Al – Ma’arif. The findings show that the students have high interest toward semantic mapping. There were 12 students (86%) were agreed, whereas two students (14%) were disagreed. It means that the students have positive interest toward the use of semantic mapping in vocabulary teaching and learning. One of the major factor that make the students interested in semantics mapping strategies is the interactivity. The strategies did not make the students feel bored
ВИМОГИ ДО ЗМІСТУ ЕКОЛОГІЧНОЇ КОМПЕТЕНТНОСТІ МАЙБУТНІХ УЧИТЕЛІВ БІОЛОГІЇ В ОСВІТНЬОМУ СЕРЕДОВИЩІ КРАЇН ЗАХІДНОЇ ЄВРОПИ

The article analyzes the general requirements for the content of future biology teachers’ environmental competence in the West European educational environment. Based on the curricula of the University of Roehampton, the University of Leeds, the University of Glasgow (UK), the University of Namur, and the University of Liege (Belgium), the composition of the academic disciplines, their scope and content are characterized.
A Study of Unsharp Masking on HDR Visualization on low Dynamic Range Devices

To visualize HDR contents on low dynamic range displays, a fast and efficient TMO is often preferred. One way to achieve this is to use a Global TMO. However, Global TMO often results in poor contrast tone-mapped images and often needs a postprocess that enhances the contrast, such as Unsharp Masking. This work illustrates that such Unsharp Masking can be directly integrated into several global TMOs, resulting in an alternative framework to apply the Unsharp Masking to the HDR visualization pipeline. The proposed framework is fast and delivers images with a proper contrast without the need for the additional image sharpening at the post process.
An Improved TransE Algorithm

This paper proposes the TransE-CBA (TransE Based On Improved Bernoulli And Adam) model, an improved TransE model. We used an improved Bernoulli distribution sampling method to improve the accuracy of negative samples, and used the Adam algorithm to update the gradient to improve the performance of the algorithm. Experiment result shows that, on the FB13 and WN18 datasets, the TransE-CBA model has a lower average ranking score (MeanRank) than TransE as a whole, and the proportion of the top ten triples (HITS@10) Higher, better sorting effect.
STRUGGLING FOR TEACHING AND LEARNING DURING THE PANDEMIC SITUATION

In 2020, education system in the world has been disrupted because of the COVID-19 pandemic. This crisis caused the diminishing opportunities for many children, youth, and adult learners (United Nations, 2020). In Indonesia, education face many challenges such as online system of schooling, distanced-learning from home, lack of interaction between students and teacher, and many more. In this paper, the challenges of learning from home, lesson planning for pandemic situation, implementation of the learning from home processes during the pandemic situation in many school levels are reported. The study employed qualitative research in which documents used as data. It was found that most of teachers used WhatsApp as the communication platform to interact with their students. Other applications used as online classroom are Google Classroom, Google Meet, Telegram, Zoom Meeting, etc. Those applications used by teachers and students in effort of struggling for the learning in the middle of current situations. Based on the data, it can be found that teaching and learning still can be done effective enough with various adaptation towards online classrooms
APPLICATION OF PREDICTION TIME OF GRADUATION USING THE NAÏVE BAYES ALGORITHM WITH THE PYTHON PROGRAM

Accreditation is a process to ensure the quality of a university and study program. There are several factors that determine the quality standard of accreditation. One of them is the time of graduation. However, there is no means that can be used to predict early student graduation time. Therefore, this study aims to create a means that can predict early graduation time. In this study, data mining methods were used, namely the Naïve Bayes algorithm. After that, data processing and application development will be carried out using the Python program. The data used in the data mining process is three years of historical data and the data used for the trial are active student data for the second and third years. There are 5 types of patterns with an accuracy value of 81%, 87%, 92%, 92%, and 95%.
Incorporación de programas de alfabetización en información y visual literacy en el currículo universitario: una propuesta de curso

ABSTRACT (eng)This study is based on the hypothesis that higher education in the 21st century must be developed in the context of the semantic web and knowledge, for this reason the educational model must define precisely what knowledge is and what knowledge is needed, it must define what are the skills to generate knowledge and innovation, it must identify which are the way to developing the skills required by a rapidly evolving of Web to finally determine the best possible educational environment.The aim of the research is to present a proposal for an educational program in information literacy, but with a solid visual (visual literacy) and communicative dimension, consistent with the value that the image, in its different contexts, has acquired in knowledge on the web, such as demonstrates the success of data visualization.The aim of the research is to present the didactic planning of a training course, based on a selection of visual literacy rules of ACRL (2011), the appropriate educational methods, the objectives and the teaching program.From a methodological point of view, the study uses a method based on the analysis of best practices to offer the development of a teaching unit for conceptual training, skills (illustrations) through the development of appropriate exercises, skills (practices) through the proposal of activities designed for classroom processing, a forum for the development of communication skills. The course also offers the development of a self-assessment system based on the type of skills to be assessed, a set of indicators and questions that measure the degree of achievement of the skills through a questionnaire. The result is the presentation of a course of education that can be carried out, as a model, by specialists and professionals.