Reviewerly/exHarmony huggingface dataset:
Preparing teachers in the professional development system for participation in textbook development in the USA

The article is devoted to the problem of preparing teachers for participation in the development of textbooks in the system of professional development in the USA. The authors analyze scientific works, which discuss the role of teachers in this activity, highlight the challenges teachers face in it and substantiate the importance of their appropriate training. The analysis revealed the peculiarities of the organization, forms and methods of teacher training, which adapt the USA system of professional development to preparing teachers for participation in textbooks development.
Galileo-E6 Bandwidth Frequency Filter Design for Galileo Receiver

This research discusses about the combination of the LPF and HPF to perform band reject filter. Therefore, there are two combination also in designing band reject filter. The aim of this combination to get know is there have an influence on the performance of band reject filter was designed by using the frequency of the GalileoE6 with bandwidth 40 MHz. This filter is used a Butterworth filter which is presented in this study. These filter circuit is composed 4rd order. In addition to, the combination between LPF and HPF forming to a band reject filter is designed. As a result, the filter design on the frequency of Galileo-E6 is successfully used in band reject filter.
Towards forensic speaker identification in Spanish using triplet loss

This work explores the use of a triplet loss deep network setting for the forensic identification of speakers in Spanish. Within the framework, we train a convolutional network to produce vector representations of speech spectrogram slices. Then we test how similar these vectors are for a given speaker and how dissimilar are compared with other speakers. Based on these metrics we propose the calculation of the Likelihood Radio which is a cornerstone for forensic identification.
4PCDT: A Quantifiable Parameter-based Framework for Academic Software Project Management

Many authorities like Project Management Body of Knowledge (PMBOK) and Capability Maturity Model Integration for Development (CMMI-Dev) lend a hand to software development organizations in management of their crucial projects.Though this area needs focused research, such models are not dedicatedly available for the academic projects developed by students of computer science and engineering where software project development is considered as one of the criteria for the award of degree to the future professionals of the IT industry.With this motivation, we explored 4PTRB, 3PR and software project management practices, approaches as well processes framed and provided by PMBOK and CMMI-Dev.The main aim of this research is to introduce and propose a software project management framework for the academic domain.The proposed framework contains identification and description of 7 and 26 quantifiable parameters and sub-parameters respectively .The framework is called 4PCDT for People, Process, Product, Project, Complexity, Duration and Technology for the academic software projects.To validate the proposed framework, an online survey of 113 faculties was conducted to rank and weigh the quantifiable parameters.The results show that People, Process and Technology management parameters are top 3 ranked parameters.The robustness of the approach is further evident from the results of experimentation on 18 actual academic software projects of final year post graduate students of the IT domain.Not only the proposed work is first of its kind, but also it is bound to generate an excellent ripple effect in the research community.
Nawattasilp Norasan: The Innovative Craft Jewelry

The particular characteristic of Manorah's identity and guidelines for designing creative, contemporary, innovative art jewelry are the results of this research. The understanding of Manorah's performing arts was gathered and analyzed for the unique characteristics of Manorah's identity. Analyze strategies to synthesize approaches to designing and creating contemporary, innovative art jewelry. It is qualitative research using an integrated research method that combines concepts and theories from phenomenal science, philosophical approach, and marketing strategy principles with the science of fine arts. There are three groups of informants, including village sages, the local population, and the general population. The results revealed that the distinctive Manorah identity is a costume (bead dress), dance posture, jewelry, and musical instruments, respectively. Applying the DRR (2C (MEAMAI)) principle, the results were analyzed as a conclusion of the object elements, i.e., shape, tone, material, technique, and mental, i.e., the principle of composition and emotion, reflecting the aesthetics obtained from viewing the Manorah performance art. The synthesized strategies into design received a prototype of contemporary innovative art jewelry from the concept of the Manorah cycle, which is to pass and carry-on entertainment shows and ceremonial performances. Contemporary-innovative art ornaments located in different positions on the body, from the head, hand, arm, neck, shoulder, chest, and torso, reflect a concept related to creating and conveying the Manorah identity in a new way.
Japanese Language Learning Application Based On Android

The development of the world of education at this time cannot be separated from the development of science and technology, so that many learning methods have emerged in the form of applications. Lack of student interest in learning Japanese, underlies the application of Japanese language learning. The purpose of this research is that students are given information in written form or Japanese characters and vocabulary in Japanese learning applications, so that students' interest in taking Japanese language learning will increase. The method used in this research is SDLC (System Development Life Cycle) with the Waterfall model. The Waterfall model provides a sequential or sequential approach to the software life flow starting from the analysis, design, coding, testing and support stages. The result of this research is to build an Android-based Japanese learning application, which explains specifically about Japanese basic words, such as nouns, adjectives, verbs, sentences and quizzes.Keywords: The aplication, Kana (hiragana and katakana) and Android
Exponential Multi-Modal Discriminant Feature Fusion for Small Sample Size

Multi-modal Canonical Correlation Analysis (MCCA) is an important information fusion method, and some discriminant variations of MCCA have been proposed. However, the variations suffer from the Small Sample Size (SSS) problem and the absence of cross-modal discriminant scatters. Thus we propose a novel exponential multi-modal discriminant feature fusion method for a small amount of training samples, i.e. exponential multi-modal discriminant correlation analysis. In the method, we construct a discriminative integration scatter of all the modalities by constraining the aggregation towards cross-modal discriminative centroids. Besides, the method gives a decomposition-based matrix exponential strategy. The strategy can solve the SSS problem and improve the robustness of noises, and we further provide corresponding theoretical proofs and some intuitive analysis. The method can learn correlation fusion features with well discriminative power from a small amount of samples. Encouraging experimental results show the effectiveness and robustness of our method.
Conversion Tools

Mobile application development and use has exploded since the release of Google's Android operating system. The conversion tool is an application that offers a wide range of free conversion utilities such as length converters, area converters, encryption &amp; decryption, password generators and many other tools. The target audience for this application is students.
Perancangan Aplikasi Ujian Online Berbasis Website

The online exam information system is one part of the distance education system through internet technology media. Colleges use Moodle as an online application for new student admissions, in this case Moodle is not integrated with the College's internal system. The concept of an online exam that is not limited by space and time can be a solution to the obstacles that exist in conventional exam methods. The process of collecting data using the method of observation, interviews and literature study. In system development using the Extreme Programming method. System design tools used are Class diagrams, and Use case diagrams. Meanwhile, to create an online exam information system at the university, the author uses the PHP programming language and MySQL database. Based on the results of the study, an online examination information system was obtained at universities. The questions are presented in a multiple choice system. The implementation of this online exam system is made with facilities including exam management, exam management, user data management, and taking exams which will produce value output.
An AQUA Advertisement’s Multimodal Discourse Analysis

More rapid technological advances made this a very effective medium in communicating and conveying messages to the public. Television, the internet, radio, etc., are mediums that companies frequently use in promoting their products through advertisements. Advertisements have a large influence on making consumers buy the products. Hence, the success of an advertisement will decide the sales of a product. This research was conducted to analyze how Raisa's version of the AQUA advertisement represents the image of AQUA being the most healthy and clean drinking water through the use of functional systemic linguistic theory and a combination of Anstey and Bull's multimodal theory and Kress &amp; Van Leeuwen's multimodal analysis. This advertisement in the form of audiovisuals displayed on the social media platform, YouTube, with the title of 'Tidak Semua Air Sama, Mau Tahu Cara Raisa Memilih Air Minum Untuk Kesehatan Keluarga'. This study uses a semiotic approach that focuses on multimodal systems, which include linguistic, visual, audio, gestural, and spatial. The type of research used is qualitative research with a multimodal analysis approach. Language messages are carried out through spoken language, and written language makes the audience understand more about what is going on. Although it has a short duration, this ad managed to leave a distinct impression on the audience by focusing on conveying every important message. The results of the analysis reveal that these five multimodal systems are integrated into this advertisement. This advertisement covers all five aspects of a multimodal semiotic system, and these five aspects are integrated to add to the core of the message, which is to advertise AQUA mineral water.
Punctuation Restoration for Speech Transcripts using seq2seq Transformers

When creating text transcripts from spoken audio, Automatic Speech Recognition (ASR) systems need to infer appropriate punctuation in order to make the transcription more readable. This task, known as punctuation restoration, is challenging since punctuation is not explicitly stated in speech. Most recent works framed punctuation restoration as a classification task and used pre-trained encoder-based transformers, such as BERT, to perform it. In this work, we present an alternative approach, framing punctuation restoration as a sequence-to-sequence task and using T5, a pretrained encoder-decoder transformer model, as the basis of our implementation. Training our model on IWSLT 2012, a common punctuation restoration benchmark, we find its performance is comparable to state of the art classification-based systems with an F1 score of 80.7 on the test set. Furthermore, we argue that our approach might be more flexible in its ability to adapt to more complex types of outputs, such as predicting more than one punctuation mark in a row.
Serverless: Next Generation of Cloud Computing

Serverless computing has emerged as a promising new paradigm for application and service deployment. The process of delivering code into production can be made easier with serverless computing. Serverless code can be utilized alongside standard deployment strategies such as microservices and monoliths. Alternatively, programs can be developed to be completely serverless, meaning they don't require any supplied servers. A serverless computing service concept is also called Function as a Service (FaaS), which allows developers to deploy specific functions to the cloud. FaaS has proven to be effective for a variety of computational activities, although using it for web apps can be difficult due to excessive response times on occasion. Nevertheless, serverless computing for web applications is gaining popularity. It is a testament to the maturity and widespread usage of cloud technologies, as it symbolizes the development of cloud programming paradigms, abstractions, and platforms. In this research, we investigated existing serverless platforms from industry, academia, and open-source initiatives, identifying key criteria.
The Influence of Teacher Education Level and Working Period on Teacher Pedagogic Competence

The purpose of this quantitative study is to investigate the effect of both partial and simultaneous differences in education level and tenure of service on teachers' pedagogical competence. A questionnaire was used to collect data for this study, and SPSS was used to analyze the data statistically. The study's findings suggest that the level of education and years of service have a partial or simultaneous influence on a teacher's pedagogical competence. This study makes recommendations for increasing teachers' educational levels in order to improve their pedagogical competence.
Analisis Kesulitan Belajar Siswa Pada Mata Pelajaran Matematika

This research was conducted with the aim of analyzing students' learning difficulties in mathematics. Located at the Neglasari State Elementary School, Bogor City, it was held in the even semester of the 2020/2021 Academic Year. In this research, the writer uses qualitative research with descriptive method. The data collection procedure was carried out by triangulation, namely a combination of the results of observations (observations), interviews and documentation. Data were analyzed by reducing irrelevant data, presenting data systematically, and drawing conclusions from research findings. The results showed that the learning difficulties experienced by students in mathematics subjects were difficulties in understanding concepts, difficulties in understanding mathematical language, difficulties in calculations and difficulties in solving problems. It can be concluded that students still have difficulty learning in mathematics. The solution is that students must get the right treatment, with the efforts of teachers who are also supported by their parents, as well as the enthusiasm and motivation of students to improve their numeracy skills.
Implementasi QR Code pada Pengembangan Sistem Informasi Presensi Lokakarya dan Seminar

Seminars and workshops are one of the efforts to distribute knowledge from experts. In its implementation, presence is one of the vital implementation components. The activity of the seminar presence is to confirm the attendance of the participants. However, there are still implementation issues in the activities of presence confirmation for participants. The purpose of this research is to analyze, design, implement the technology of QR code to propose the new system in the activities of presence confirmation in the seminars. The research uses descriptive research method with object-oriented design approach and the prototyping model as a system development method. The research result is a web-based seminar presence information system that is expected to handle the issues with better procedures for both participant and event organizer.
Teachers’ Perception Towards Local Content-Based English Materials of Speaking Skill for Young Learners

As one of the most significant communication skills that one is required in the digital era, it is necessary to develop speaking skills among young learners who learn English at elementary school earlier. However, English was not the primary subject for Elementary students, especially in State Elementary schools. So, it made the English teachers have difficulty finding suitable textbooks for students. This article details the findings of a study conducted to learn more about the needs of young English learners in primary schools in the digital age. Four Elementary English teachers in Palangka Raya participated in the study. The study instruments were a questionnaire and interview guide. The survey results are revealed using percentages and qualitative descriptions. The findings will be utilized to create and develop an English e-book (based on local material) for young learners studying English at the elementary level.
Development of Digital Citizenship Model Based on Digital Literacy of Students in High School During the Covid-9 Pandemic in Bandung Indonesia

The dependence of students learning with digital technology media is strong to access various information, both at school and at home, alone or with friends.Students are young citizens who strategically determine their nation in the future.Their digital literacy degree is highly requested to access, proces and communicate information, as well as a learning process with teachers, friends at school or parents at home.The problem is how the utilization of digital literacy is contribute to the level of citizenship awareness of students during the covid-19 pandemic.The researchers used used the action research method as an effort to help civic education learning in schools.The research finding reveal the development of digital learning is highly dependent on the ability of teachers and students to master digital.The higher the mastery of digital technology, is good is in accessing, processing and using digital information for teachers and students citizen awareness in learning.
THE EFFECT OF TEACHER'S TEACHING SKILLS ON ACADEMIC AND NON-ACADEMIC ACHIEVEMENTS OF STUDENTS OF SD NEGERI 1 BATUR, BANJARNEGARA REGENCY

This study aimed to analyze the effect of teacher teaching skills on students' academic and non-academic achievement. This type of research is a quantitative description and analyzed using SPSS 22 software. The method in this research is a survey using a questionnaire. This research shows a positive and significant effect between teacher teaching skills on student academic achievement as evidenced by t count 2.52 with a probability of 0.015 &lt; 0.05. The relationship between students' learning motivation and non-academic achievement showed a positive and significant effect with an at-count of 3.397 with a probability value of 0.01 &lt;0.05. The relationship between teacher teaching skills through student motivation on non-academic achievement also shows a positive and significant effect. Teachers' teaching skills have a significant value of 0.012 and students' learning motivation of 0.01, which shows a value of &lt;0.05. The analysis results show that teacher teaching skills through student motivation on non-academic achievement is 26.9%, while other factors outside this research model influence the rest.
Repopulating Earthquake Catalog in the Hindu Kush-Pamir Region using Attentive Deep Learning Model

Seismology data is overgrowing and is outpacing the development of processing algorithms.This tremendous increase in highquality data can help better understand the earthquake processes related to the geology of active seismic regions such as the Hindu Kush.Most traditional detection algorithms are computationally inefficient compared to the amount of seismological data available and fail to detect low magnitude and noisy events.Deep learning algorithms are known for their applicability on large datasets with less runtime.Event detection and phase detection can be considered a supervised deep-learning problem quite similar to image recognition.In this study, we have implemented a hierarchical attention mechanism-based deep learning model for simultaneously phase picking and earthquake detection.This model is trained using Stanford Earthquake Dataset (STEAD), a globally disturbed labeled seismic dataset.We used this trained deep learning model to detect earthquake signals and pick P and S phases in the Hindu Kush -Pamir region for twelve months of continuous data spread across 83 different stations.A rigorous selection criterion based on detection, P and S phase probabilities, and other parameters has been used to associate the phases from different stations and to locate the earthquake.Our model detected almost seve times more earthquakes than previously existed in the catalog.The algorithm picked P and S phases with a high level of precision, comparable to human analyst picks.Furthermore, pinpointing these events allowed us to define the S-shaped seismic zone in the Pamir-Hindu Kush region and better comprehend the deformation caused by Eurasian-Indian plate motion.
MUSICAL ART – A TOOL FOR THE FORMATION OF MORAL QUALITIES

In this article, the importance of forming moral qualities in students through musical art is considered. Currently, the issue of focusing on the sphere of art in the way of spiritual and moral development of the individual is being raised. After all, music and art have always been the only source of spiritual development of the individual. Therefore, moral education through musical art occupies a central place in the problem of humanization of modern schools. The purpose of the article is to identify and analyze the significance of the manifestation of moral values in various examples of musical art used in the educational process, ways to form moral qualities in students. The main research methods of the article - a review of research and pedagogical works, to determine the educational value of folk music and its moral qualities and values, to analyze and select samples of folk music. On the basis of the works of teachers-scientists, researchers who have studied the genres of musical art folklore music, folk music and moral qualities, moral values, recommendations are given to select samples of folk music used in the formation and development of moral values and determine their educational significance. In order to identify the types of musical art that have great educational experience, examples are given and analyzed. As a result of the analysis, the importance of using music and folk music in the education of future generations was determined, and we noticed that they are an indispensable tool in moral education.