Reviewerly/exHarmony huggingface dataset:
Forming the fundamentals of social culture and cultural competence in school students in the process of mastering the content of musical pieces

Students’ mastery of the content of musical pieces in different artistic genres provides for a versatile development of their moral culture as the basis of social culture and cultural competence. The condition for the success of this process lies in the musical activity transcending to the creative level allowing access to the imaginative and emotional “overtones” in the sound of music. Involving all children and adolescents in musical creativity is possible through the implementation of the pedagogical technology of interactive music-making that involves a complementary interaction with the outside source of sound. A pedagogical experiment conducted as a part of concerts of the artistic and educational project “Music-making for all” that were designed based on the aforementioned technology demonstrates students’ successful mastery of the content of the performed pieces, as well as the development of the required characteristics of social culture in them.
Application of Decision Support System for Infant Nutrition Women using Weighted Product on Health

Pregnant women must understand and practice a healthy, nutritionally balanced lifestyle as an effort to maintain good nutrition. This is very necessary so that the fetus in the womb gets adequate nutrition so that it can avoid miscarriage, abortion, congenital defects, and low birth weight of the fetus. Selection of nutritional intake can be done with information about the mother's nutrition during pregnancy which can be processed and presented with a decision support system so that we can find out the effect on the baby that is born, that way, it is easy to determine the best nutrition that the mother should consume so that can give birth to a healthy baby. Research on maternal nutrition for infants used the weighted product method, with 5 criteria consisting of vegetables, fruits, meat / fish, nuts and milk. The research data were obtained from the results of filling out the questionnaire to 50 respondents with 48 pregnant women and 2 breastfeeding mothers at the Puskesmas Muara Dua Lhokseumawe, the questionnaire data was calculated manually by giving weight to each point so that the total amount of nutrition obtained by each respondent was obtained. the accuracy obtained is 18% and an error of 82%. The data concluded that only 18% of pregnant women had informed that the nutritional intake was good enough, while the remaining 82% had not informed the results of the nutrition intake properly.
PELATIHAN CARA PENULISAN BUKU DAN ARTIKEL ILMIAH BAGI GURU SDN 31 TEGINENENG KABUPATEN PESAWARAN

A professional teacher must have four competencies, namely pedagogical competence, personality competence, social competence and professional competence. Professional competence, namely the ability of teachers to master knowledge in the field of science, technology or cultural arts that they teach. Mastery of these abilities should be expressed by the teacher, one of which is by making or writing scientific articles. There are many things that educators need to pay attention to in writing scientific books and articles in order to achieve proper scientific books and articles and become references for other educators. However, it cannot be denied that there are still many school teachers who do not know how to make textbooks and scientific articles. This unfavorable reality occurs not only as an error as educators who do not know or understand but because of limited knowledge, limited resources that make it difficult for them to make textbooks or scientific articles. In addition, the lack of training provided at whole level on how to make scientific books and articles makes it more difficult for educators to gain knowledge about these matters. Therefore, the team conducts training for elementary school teachers on how to write scientific books and articles whose material includes explanations of textbooks and scientific articles, ways of making, the structure of each compilation, the language used, how to find references and how to publish an article. scientific papers and examples of journals that can serve as a forum for publication of scientific articles. After community service was carried out regarding training on how to write books and scientific articles, there was an increase in the teacher's understanding of textbooks and articles, namely the average before service was 47.14% after training there was a significant increase in an average of 63.57%.
Smart Traffic Signal Controller Using Edge Detection Technique

The explosion in the world population has raised the number of vehicles exponentially during the last decade. Vehicular travel is increasing throughout the world, particularly in large urban areas. The traffic has become a major cause for atrocities in the cities as it may lead to indecorum and road rages. And therefore the need arises for improving traffic control algorithms to overcome increasing demands. This paper provides an approach to deal with traffic congestion by considering density of the traffic. The approach comprehends the traffic congestion pertaining in the urban cities. Detection vehicles is identified through images rather than using electronic sensors. According to traffic conditions, the road traffic light can be controlled. This smart system is intended to control the traffic using electronic sensors and magnetic loop detectors. Forward detection, background subtraction and segmentation are used for calculating the density of vehicles. Furthermore, Round Robin scheduling algorithm with priority scheduling is implemented for varying the light timers at the signal. The system is capable of analyzing the traffic by calculating the number of vehicles using boundary detection in image processing. The system is adaptive to the various loads of vehicles at different times.
A Sub-band Anisotropic Diffusion Technique for de-speckling of Ultrasound Images of Breast Cancer

Ultrasound imaging technique finds crucial application in clinical diagnosis of breast cancer. Presence of noise in ultrasound image due to different factor degrades the image quality and so the accuracy of diagnosis. Wavelet thresholding have been used from very beginning for de-noising of ultrasound image. Here in this paper we propose an intervention of anisotropic diffusion techniques in wavelet thresholding. In wavelet thresholding the thresholding operation usually applied after various feature extraction step, but in this study, we proposed to use a combinational approach. The approach reduces computational complexity of previous techniques. The proposed technique provides a Peak Signal to Noise Ratio of 28.46 and Mean Square Error of about 92.5537. The technique was practiced over large dataset of breast cancer images.
Case Study of Twitter Trending Topic: Analysis of Using Random 4 Digits to Raise the Hashtags on Twitter

In 2021 Twitter is the fifth most popular social media in Indonesia. One of the uniqueness of twitter compared to other social media is the hashtag (# symbol) which is placed at the beginning of words or phrases typed on social networks. Hashtags will make it easier for Twitter users to find specific information. With this hashtag feature, many Twitter users are competing to make a hashtag trending or even competing to make their hashtag trending. There is a unique method used to increase a hashtag by using a 4 digit random hashtag at the end of the tweet. This phenomenon is often found in trending hashtags with the caliphate theme. Based on the results of the analysis that has been carried out related to the use of 4-digit random hashtags, it shows that the 4-digit hashtag code is one of the tools to generate tweets that are as unique as possible, both in terms of the account using, content, activity type, activity target, and media to raise hashtags on Twitter. This 4-digit hashtag code is suspected to be the activity of an account along with the content being played. Accounts that use the same code more than once are unlikely to have different content. Likewise, when the same account plays different content, it must be accompanied by a different code. This indicates the relationship between the account and the 4-digit hashtag, to the content being played. Recently, hashtags around the Caliphate that use random hashtags have switched to using 5-digit random hashtags. The intent and purpose of its use is still the same as using a 4-digit random hashtag .
Improving Speaking Skills with theCooperative Learning Model for Think Pair Share Class V Students of SD Negeri 5 Ambon

Speaking is the activity of issuing words or sounds in the form of expressions, ideas, information, which contain certain meanings. Learning to speak using thelearning model Think Pair Share gives students time to think and respond, encourage students to be more active in asking and expressing their opinions and creative in developing their ideas. During the learning process, students must be active and creative in expressing their opinions. Because speaking is the ability to convey messages in the form of thoughts, ideas, and feelings through spoken language to others (Mulyadi, et al 2000). The criteria that serve as guidelines are readability and suitability. Think Pair Share has an explicitly defined procedure to give students more time to think, ask questions, and express their opinions, and help each other (Eanes, 1997). At thestage Think, the teacher makes apperception, explains the learning objectives and submits questions or issues related to the lesson. In thestage Pair, the teacher organizes students into pairs and gives students the opportunity to discuss the answers they think are most correct. And at the final stage, namely Sharing , the teacher asks in pairs to share with other friends in the class what they have talked about.
IMPROVING THE EIGHTH GRADE STUDENTS’ READING COMPREHENSION IN RECOUNT TEXT THROUGH PAIRED READING METHOD AT SMP NEGERI 1 KERAMBITAN

The researcher aimed at improving students’ reading comprehension of recount text through Paired Reading Method. The research subject were the eighth E grade students of SMP Negeri 1 Kerambitan in the academic year 2020/2021 consisting of 33 students, 18 students are male and 15 students are female. This research was conducted by using Classroom Action Research (CAR). The technique of data analysis was qualitative and quantitative data using observation, documentation, tests, and questionnaire. Paired Reading Method used as a interested way to improve students’ reading comprehension on the material of  recount text. By using recount-based paired reading method based on learning process, is expected students are able to understand the learning, and students can learn independently, easily, fun and achieve learning goals. This research was accomplished in two cycles. Each cycle consisted in four steps. They are planning, action, observation, and evaluation. Before using Paired Reading Method, the students’ comprehension in reading recount text was low. It can be seen from the result of the score. The mean score of pre-test was 61.9, the mean score of post-test I increased to 76.3, and the mean score of post-test II increased until 80.1. Based on the result of the research, it could be concluded that teaching reading recount text using Paired Reading Method could improve the students’ reading comprehension on recount text.
Hand Gesture Recognition for Differently Abled People with Message Integration.

The objective of this paper is to utilize a webcam to lively track the region of interest (ROI), in particular, the hand locale, in the picture extend and recognize hand motion, we use skin colour discovery and also morphology to delete the unnecessary background information from the picture, and afterward use foundation subtraction to recognize the ROI. Next, to stay away from foundation effects on items or commotion influencing the ROI, we utilize the kernelized connection channels (KCF) calculation to follow the identified ROI. The picture size of the ROI is at that point resized to 28x28 and afterward sent into the profound convolutional neural system (CNN), so as to distinguish various hand signals. Two profound CNN designs are created right now are altered from DenseNet . At that point, the above procedure of following and acknowledgment is rehashed to accomplish a moment impact, and the framework's execution proceeds until the hand is removed from the camera.
Language Learning Strategies Used by ESL Students of a Chinese Secondary School in Improving Speaking Skills

In this globalization era, English has progressively become the medium in every aspect of communication, both in local and international surroundings.Hence, there is a request for speakers who can communicate in English productively in every country.Speaking is one of the most fundamental skills in English language education.A lot has been discussed relating to the good language learners, but not much is investigated about the strategies used in a Chinese school in order to further improve and acquire their second language learning skills.Besides that, students differ in proficiency, hence a suitable language learning strategy needs to be identified to enhance their speaking skills.Thus, this paper aims to identify language learning strategies and also to discover the direct or indirect strategies used by ESL students of a Chinese Secondary school in improving speaking skills.This study employed a quantitative design where a questionnaire was used in collecting the data.The survey was conducted among 50 Senior 2 learners in a particular Chinese school.A purposive sampling technique was used to select the students for this study.The results of the study have indicated that the metacognitive approach is the most often utilized language learning strategy among Independent Chinese School students in enhancing speaking skills.Furthermore, the findings and implications in this study may be beneficial to some ESL educators in exploring the effectiveness of utilizing suitable language learning strategies in enhancing speaking skills in the future.
Expert Group Simulation Evaluating Behavioural Competence by Paraconsistent Annotated Evidential Logic Eτ

Group decision-making may present inconsistencies, resulting in biased decisions. This research presents simulations with the formation of different groups composed of professionals who participate in evaluating a candidate for project manager. The Behavioural Competencies Assessment Instrument and the Para-analyser algorithm were used as the foundation of the simulations based on the Paraconsistent Annotated Evidential Logic Eτ. In a factual scenario, it is necessary, at least two evaluators, in order to obtain equitable results since just one evaluator opinion may influence the result.
Pengembangan Bahan Ajar Konten Materi Ipa Berbasis Keterampilan Berpikir Kritis

The purpose of this study is to determine the development process, the results and the feasibility of teaching materials in the form of books on the development of teaching materials for science content based on critical thinking skills in ecosystem materials for grade V elementary schools. The method used in this research is Design and Development using ADDIE development model. Research participants consist of material experts, linguists, media experts and users, namely, teachers and students to get the results of the feasibility assessment of the teaching materials that had been made. Data collection techniques using questionnaires, interviews and literature studies as a complement. The data analysis technique used is Miles and Huberman which include data collection, data presentation, data reduction and conclusion drawing. The results showed that the assessment of material experts for the content and presentation aspects get a value with a percentage of 87.2% and 80.46% with the interpretation of Very Good. The results of the linguist's assessment for the linguistic aspect get a score of 77.08% with an interpretation of Very Good. The assessment of the results from media experts for the graphic aspect get a score of 94.40% with the interpretation of Very Good. The results of the recapitulation of the four aspects scored 84.78 with interpretation. Furthermore, the user assessment is that the teacher gets a percentage of 89.75% and students get a percentage of 86.66% with a very good interpretation. Based on the overall results of the user assessment, it gets a percentage of 88.20% with interpretation. The recapitulation results for the overall results of expert and user assessments get a percentage of 86.49% with interpretation. Based on the results of the assessment, the science teaching material content based on critical thinking skills is and feasible to use.
AT-Cascade R-CNN: a novel attention-based cascade R-CNN model for ovarian cancer lesion identification

Ovarian cancer is one of the most common cancers in female genital organs. Since ovarian cancer is associated with plenty of pathological features, most of the computational diagnostic methods can ...
The Future of Mobile Edge Computing

Abstract This chapter first introduces the fundamental principles of blockchain and the integration of blockchain and mobile edge computing (MEC). Blockchain is a distributed ledger technology with a few desirable security characteristics. The integration of blockchain and MEC can improve the security of current MEC systems and provide greater performance benefits in terms of better decentralization, security, privacy, and service efficiency. Then, the convergence of artificial intelligence (AI) and MEC is presented. A federated learning–empowered MEC architecture is introduced. To improve the performance of the proposed scheme, asynchronous federated learning is proposed. The integration of blockchain and federated learning is also presented to enhance the security and privacy of the federated learning–empowered MEC scheme. Finally, more MEC enabled applications are discussed.
Non-Clifford Gate on Gottesman-Kitaev-Preskill Encoded Optical Qubits with Nonlinear Feedforward

Achieving a fault-tolerant universal quantum computer with an optical system is one of the goals of quantum optics. For that purpose, the most promising candidate is the Gottesman-Kitaev-Preskill (GKP) encoding of qubits in the continuous-variable system [1] . In order to perform universal computation with GKP qubits, the current open problem is the realization of non-Clifford operations, which require non-Gaussianity. In the original GKP’s paper where [1] , two different approaches are suggested to implement a non-Clifford T gate, i.e. $\hat T = \left| {{0_{\text{L}}}} \right\rangle \left\langle {{0_{\text{L}}}\left| { + {{\text{e}}^{i\frac{\pi }{4}}}} \right|{1_{\text{L}}}} \right\rangle \left\langle {{1_{\text{L}}}} \right|$ , where |0 L 〉 and |1 L 〉 are the logical bases of the GKP qubits. The first approach is using a cubic phase gate, a non-Gaussian operation, combined with Gaussian operations. In this context, the cubic phase gate has been widely developed with nonlinear feedforward as a key technology [2] , [3] . In recent research, however, it is shown that this approach is not optimal for GKP qubits [4] . Hence, the second approach, which is based on the magic state injection method [5] , is more promising.
PENERAPAN METODE K-NEAREST NEIGHBOR DALAM MEMPREDIKSI WAKTU KELULUSAN MAHASISWA SARJANA YANG BERMAIN GAME

Graduating from college is something that students really want. By graduating from college, it has become a sign for a student to become a worthy scholar to continue and enter the next level. Graduation time is influenced by the academic value obtained from a student. If a student gets a high score, the student's graduation will be faster or on time. On the other hand, if a student gets a score below the average, the student's graduation time will be longer. At this time, one of the causes of students getting low grades is because students who are so busy playing games neglect their lectures and lose concentration while studying. So this can affect the time of their graduation. Students should be able to control themselves to manage their time playing online games and lectures in order to complete their obligations as a student, and students who get low grades for playing games should also be aware that getting low grades continuously will result in the student being threatened with dropping out (DO).Therefore, an information system program was designed that can be used by students who like to play games to be able to predict their graduation time so that they can find out their graduation time. The design of this program applies the K-Nearest Neighbor method which is a classification technique for objects based on learning data that is closest to the object.The final result of the application of the K-Nearest Neighbor method in the program has its advantages and disadvantages. The classification process is strongly influenced by the large amount of training data, and the determined value of 'K' (neighbors). The more the amount of training data, the level of accuracy can be reduced. The level of accuracy in testing using training data is 230 data, and using test data as much as 30 data with several specified 'K' values, namely, 2, 3, 4, 10. Accuracy results with 4 K values used can reach an accuracy rate of 90% .
양방향 인재매칭을 위한 BERT 기반의 전이학습 모델

While youth unemployment has recorded the lowest level since the global COVID-19 pandemic, SMEs(small and medium sized enterprises) are still struggling to fill vacancies. It is difficult for SMEs to find good candidates as well as for job seekers to find appropriate job offers due to information mismatch. To overcome information mismatch, this study proposes the fine-turning model for bidirectional HR matching based on a pre-learning language model called BERT(Bidirectional Encoder Representations from Transformers). The proposed model is capable to recommend job openings suitable for the applicant, or applicants appropriate for the job through sufficient pre-learning of terms including technical jargons. The results of the experiment demonstrate the superior performance of our model in terms of precision, recall, and f1-score compared to the existing content-based metric learning model. This study provides insights for developing practical models for job recommendations and offers suggestions for future research.
A STUDY ON THE TEACHING ENGLISH PHONETIC TRANSCRIPTION IN PGRI WIRANEGARA UNIVERSITY

This paper discusses the teaching of English Phonology at English Education Department of PGRI Wiranegara University Pasuruan. The main focus is how the teaching and learning phonetic transcription through online class. The subject of this research was the phonology lecturer and fourth grade semester students at PGRI Wiranegara University Pasuruan which consist of 23 students. This research is a descriptive research which describes in detail the class activities in teaching English with phonetic transcription. As the result, it can be concluded that phonetic phonetic symbols helps the student to be more confidence in improving their communication skills, to making the meaningful meaning of the conversation and effectively guide them as a student to learn pronunciation.  Students are also able to understand the pronunciation because of guidance of the phonetic symbols. Students can easily predict the correct sounds in English by the phonetic symbols. Thus, it helps them to improve their pronunciation and confidence in speaking English.