Reviewerly/exHarmony huggingface dataset:
Construction of an Interactive Teaching Platform for Vocal Music Theory and Performance Practice Under Cloud Platform Technology

Based on cloud platform technology, combining streaming media technology and web application development, an interactive teaching platform for vocal music theory and performance practice is constructed, which effectively improves the current vocal music classroom teaching.Problems such as single teaching content, realize the network and information transformation of vocal music education teaching mode in colleges and universities.With the application advantages of cloud platform technology and streaming media technology, the system guides students to get out of the misunderstanding of focusing on practice and ignoring theory with functions such as online live broadcast, independent learning, extracurricular development, and personal presentation.The system establishes a student-centered educational concept, and strengthens teachers information interaction between students and between students, emphasis on teamwork, respect for practical innovation, fundamentally stimulate students' subjective initiative in learning.Under the blessing of high technology, college music education can radiate new vitality, thereby further contributing to the promotion of college education informatization reform.
Deep Learning for Lymphoma Detection on Microscopic Images

Early lymphoma diagnosis is essential to improve the patients' survival rate and avoid irreversible damage.Immunohistochemistry-based lymphoma diagnostics is an expensive and time-consuming process, especially in developing countries with limited resources.Image-based lymphoma diagnostics might serve as an inexpensive, yet less accurate alternative to immunohistochemistry-based methods.One challenge in image-based methods is that carcinoma can occur in the same organ as lymphoma, thus making it hard to differentiate the two types of cancer.To assist lymphoma diagnostics, this study proposes a deep learningbased method to classify nasopharyngeal microscopic biopsy images into one of three classes: lymphoma, carcinoma, and benign lesion.The method works by splitting the images into patches, classifying each patch using a deep learning model, and taking the average confidence score of each patch.We compared three deep learning-based feature extractor architectures and studied the effects of three image color preprocessing techniques on classification performance.We reached 88.7% sensitivity and 91.3% specificity in differentiating lymphoma on 400x magnification CLAHE-enhanced microscopic images using the InceptionResNetV2 model.We also reached 87.0% three-class classification accuracy using the same model.
Teacher Attention Analysis Method Based on Face Three-Dimensional Feature Point Coordinate Transformation and Viewpoint Visualization and Applications

In the process of quantitative analysis of classroom teaching, it is often necessary to evaluate individual indicators related to attention such as "whether teachers' teaching attracts students, whether they stimulate learning enthusiasm" and "whether there is eye contact between teachers and students".The teacher's attention to the students reflects the teacher's teaching state and teaching psychology, and meets the requirements of observability, repeatability and interpretability of quantitative analysis of the classroom teaching process.In this paper, the method of mutual conversion and mapping between natural coordinates and classroom coordinates is used to project the face normal of the student's nose tip to the teacher's teaching video shot by the rear camera.The intersection of the rays in the classroom coordinate system on the camera plane must be calculated first, and then calculate the mapping point coordinates of the intersection in the teacher coordinate system.Finally, the viewpoint visualization in classroom teaching is realized.
The Effect of Android-Based Science Learning Media on Critical Thinking Skills of Elementary School Students During the Covid-19 Pandemic

This study was prompted by the development of Android-based scientific learning media for elementary school students, with the goal of improving critical thinking abilities in pupils who wanted to know the level of efficacy during the covid-19 epidemic.The purpose of this study was to examine how androidbased scientific learning media improved the critical thinking skills of primary school children.This study used a quasi-experimental design.The sample technique used was simple random sampling.The data was analyzed using the T-test.Ho was rejected since the hypothesis test indicated that t count > t table.It was discovered that primary school pupils who learned utilizing android-based learning material have varying levels of critical thinking ability.As a result, android-based scientific learning material has an influence.on elementary school students' critical thinking skills.The findings of this study can be used by teachers to help students improve their critical thinking skills in elementary school.
An Analysis of English Syllabus for the Eleventh Grades at Vocational High School of Hospitality Department in Padang for the 2021/2022 Academic Year

This study was to describe how the English syllabus for eleventh graders at the Vocational High School of Hospitality majors in Padang for the 2021/2022 academic year.This study used qualitative approach by using descriptive research.There were five English syllabus collected from five vocational high schools of eleventh grade hospitality majors in Padang.Then, it also used questionnaire to collect the data.There were 30 students who participated to respond the questionnaire, consisting of eleventh grade students and twelfth grade students as eleventh grade alumni.The result of this study showed that the English syllabus used in vocational high schools of the hospitality major was not suitable for their major.Therefore, this study suggested that there was a need for an appropriate syllabus in learning English for vocational students in Padang, especially those majoring in hospitality.This study can be continued to conduct an overall needs analysis that includes English students, their English teachers, principals and alumni.
Autonomous Quadcopter Control System Design Using LQG Controller to Perform Obstacle Avoidance

This research presents the implementation of the Linear Quadratic Gaussian (LQG) Controller and LiDAR sensors on the quadcopter used to avoid obstacles.The LQG controller is a combination of a Linear Quadratic Regulator (LQR) with a Kalman Filter as a State Estimator.The results of the estimate by Kalman Filter are compared against the actual value of the measurement by reviewing the Mean Square Error value.Linear position and angular position are variables that are controlled in the LQG control system to perform obstacle avoidance.The variations used in this study are the Q and R matrix values in the LQG controller design.Some of the tests that have been carried out include the open loop test, the closed loop test, the quadcopter test without an obstacle and the quadcopter test with an obstacle.The test results show that the quadcopter is able to follow the flight reference path and that the obstacle avoidance algorithm designed produces a quadcopter that is able to avoid obstacles.The test results show that the Q and R matrices on the Gain Regulator and Kalman filters can affect the quadcopter in carrying out avoidance.
Classification of Lymphoma, Benign Lesions, and Carcinoma Using Convolutional Neural Network

Lymphoma, carcinoma, and benign lesions are common diseases that have to go through several stages to be detected due to their structural similarity.A common way to distinguish these diseases is by analysing them manually based on the cell images at a certain magnification.However, this method still has many shortcomings in terms of accuracy as it is vulnerable to possible human error and requires quite a lot of time.Thus, an alternative faster and more accurate method of detection should be developed to increase patients' chances of survival.One solution to overcome this problem is by using a deep learning model which mimics the behaviour of nerve cells in the human brain and has proven to be able to classify certain diseases in many studies.As there are many existing deep learning designs, this paper aims to explore the methods of detecting these diseases and find the best performance (highest accuracy) among them.With the microscope images data (magnifications of 100 and 400 times) provided by the medical faculty of the University of Padjadjaran (UNPAD), we investigated the classification result using different kinds of deep learning designs which were our designed CNNs and transfer learning using the Inception-V3, VGG16, and MobileNet.It was found that the best model used to classify images with a magnification of 100x is MobileNet (accuracy of 53% for benign lesions and 47% for lymphoma) and designed CNN (accuracy of 59% for benign lesions and 41% for lymphoma).While for image classification with a magnification of 400x, Inception-V3 showed the best result (accuracy of 80% for carcinoma and 50% for lymphoma).
Patterns for Utilizing ICT in Learning of Writing in Public Senior High School in Buleleng District

This study aims (1) to find out the pattern of ICT utilization in learning of writing in public high schools in Buleleng Regency and (2) to know the effectiveness of its application.The study used a developmental research design.One class was chosen at SMAN 1 Singaraja and at SMAN 3 Singaraja as the subjects of the study.It was found that the utilization pattern of ICT in learning writing was (1) the teacher uploading the text, (2) students reading the text to see its structure and linguistic characteristics, (3) the teacher uploading the theory about the text, (4) the students downloading the material to write, (5) the students writing the draft and uploading it, (6) giving comments in pairs, (7) revising the draft and uploading it, and (8) giving comments and scores by the teacher.The teacher did all this by utilizing the Schoology application.The pattern proved effective in learning writing.
Developing Sign Language Digital Dictionary “Kolok-Indonesian-English” Through Smart Kolok Application as a Media for Learning and Preserving a Natural Sign Language in Bengkala Village

Kolok Bengkala language is used by dumb and deaf people in Bengkala to communicate with each other or with normal people in general.Sign language that prioritizes nonverbal aspects will take a long time to learn if using conventional learning methods such as reading books or just looking at explanatory pictures.Kolok learning innovation is needed that can help users to learn kolok sign language easily and effectively.Along with the development of technology, a digital kolok dictionary that can display videos is an effective solution to make learning the kolok sign language easier.Kolok language learners are not only from Bali but are also interested in being studied by tourists/foreigners so that the translation of the kolok sign language into English is also very necessary.Smart kolok application as a provider of information about the kolok village of Bengkala is the right application to be invited to collaborate in presenting this digital dictionary.The development of this digital dictionary uses Research and Development (RnD) research methods with the research steps: 1) Analysis, 2) Design, 3) Development, 4) Implementation, 5) Evaluation.The development of this learning media involves 2 experts as product design validators.The result of this development is a digital dictionary of Kolok-Indonesian-English sign language that can display videos of kolok sign language movements.Tests of digital dictionaries by materials and media experts have shown this dictionary to be of excellent quality.Likewise, the results of user testing of digital dictionaries conducted on 10 students of the kolok sign language show that this dictionary has very good functional quality.Based on the test results, it can be concluded that the developing Kolok-Indonesian-English sign language digital dictionary can be used as a learning media for Kolok sign language.
Diagnosis of Digital Competencies for the Use of B-Learning Methodology in the Teaching and Learning Process

Education is undergoing processes of change, accentuated during the COVID-19 pandemic, highlighting the importance of developing competencies that ensure effective educational processes, such as digital competencies, which allow teachers to adapt to different learning environments.The objective of this research is to diagnose the digital competencies of secondary school teachers in a private educational institution in Ecuador.An observation rubric was used in classroom visits and a diagnostic instrument was applied, which is broken down into dimensions (5), subcompetencies (7), standards ( 17) and performance indicators (41).The research participants were 21 teachers: 12 women and 9 men.It is concluded that teachers have a level of mastery or development of digital competencies from medium to low level, which shows the need to design several training actions for teachers.
Democratic Culture, Citizenship and Digital Literacy in Mexico: Challenges and Prospects

The configuration of modern digital spaces suggests that citizens interact in a responsible way generating and selecting information on which our criteria is based, it also implies that they can deliberate in the digital public sphere to influence decision makers in government; placing them as transformers to achieve political-social goals while questioning them.However, citizenship faces two main challenges in Mexico: In one hand, the lack of access to Information and Communication Technologies (ICT) which has to do with structural aspects related to poverty, marginalization and/or unemployment; and in the other hand, the need to guarantee the values of democracy in the network thru different political and electoral exercises.This paper seeks to review public policies aimed at developing a digital citizenship and an analysis of the implications and challenges in the concept of digital citizenship and the democratic impact in Mexico where the digital citizen interacts, defends and exercises his rights.
Research on the Intelligent Teaching Guarantee System of Chinese-Foreign Cooperation in Running Schools Under the Background of Educational Informatization 2.0

Chinese-foreign Cooperation in Running Schools in higher education has improved the supply capacity of higher education in China, and the teaching quality and personnel training level.The application of information technology in education and teaching has promoted the reform of teaching idea and teaching method.Informationization 2.0 of education enables universities to adapt to new technological changes and carry out intelligent teaching that breaks the time and space limit, rapidly replicates and spreads, and enriches the means of presentation.This paper mad use of education cloud service technology and intelligent teaching platform to explore design and implementation process of intelligent teaching in Chinese-foreign Cooperation in Running Schools, and constructed guarantee system for intelligent teaching.it is important basis for improving the quality of intelligent teaching to introduce high-quality teaching resources, construct teaching staff, and optimize international curriculum system.
Study of Teachers’ Evaluation on Students in Colleges and Universities Based on the Subjective, Objective and Combined Weighting - Cloud Evaluation Model

The establishment and application of a scientific and effective model and method play a pivotal role in conducting high-quality work of teachers' evaluation on students in colleges and universities.With regard to the problem of setting the weights of the evaluation indexes of teachers in colleges and universities, this study applied the critic method to assign objective weights and linearly combined with the subjective weighting results to derive the weight values combining subjective and objective; in view of the problem of comprehensive research and judgment of the evaluation results, the cloud evaluation model was used to present and analyze the overall performance and the performance of primary indicators, which achieved a more satisfactory effect overall.Thus, this study carried out an innovative exploration for improving the quality and effectiveness of the work of teachers' evaluation on students in colleges and universities.
The Application of Computer Management System for Physical Education in Colleges and Universities

Physical culture is an indivisible part of civilization.After the 21 st century, it has become high profile, as competitive sports events like the Olympics are welcomed by millions of people.The Olympic Motto, "Faster, Higher, Stronger-Together," encourages generations of Chinese athletes to work miracles regardless of limits.Many athletes and their coaches are working hard to achieve their goal of winning gold medals and ranking first.As "turning to science and technology to improve training" has become a consensus, and "scientific selection, scientific training, and scientific management" has become three major strategies to improve athletic performance, sports personnel, especially the trainer and manager, should focus the daily management, and strengthen standardized training as well as scientific selection.The development of computer and information transmission technology has profoundly affected humanity and society in the information age.Nowadays, with the development of modern information technology and digitalization in China, the computer and distance network education systems are gradually recognized and promoted.It is also imperative to fully and rationally recognize the shortcomings in traditional Chinese school education and use modern information technology to reform the education system.Although some colleges and Universities (CAU) have successfully developed comprehensive computer application systems in physical education, studies on the operation, practice and management methods for such systems are still at a primary stage.On this basis, the paper will examine some of the applications of computer technology for physical education and research at CAU, describe the main characteristics of new management systems, and summarize future technologies in this field.
Application of Artificial Intelligence Technology in Curriculum Evaluation System of Primary and Middle Schools

How to evaluate the quality of primary and secondary school curriculum objectively and quantitatively is a difficult task.Intelligent teaching is to implement online teaching through network platform.Teachers and students through the wisdom of classroom, the completion of teaching and learning, mainly reflected in teachers, students and the media, the three roles of synchronous implementation of teaching and learning scene.This paper proposes to take the Internet as the main body, the intelligent information processing as the technical support, and use classroom video evaluation to analyze students' behavior in the classroom, using teachers' speech recognition and speech emotion recognition to analyze teaching content and teaching methods, combining curriculum software and high frequency vocabulary, to build an intelligent and comprehensive curriculum evaluation system for primary and secondary schools, finish the synchronous classroom of teacher end and student end, so that artificial intelligence technology can be used effectively.
Relevance Analysis of Online Course Development on Education Platform and Significance of Teaching Reform Research Based on Collaborative Filtering Algorithm

Based on the rapid development of internet and education, online education platforms have also followed the pace of the times and achieved great success, among which Rain Classroom, Tencent Classroom, Learning Pass, MOOC and other platforms are almost mandatory for educational institutions to use during the epidemic prevention and control period, combined with QQ and WeChat for data preparation and schedule notification arrangement, achieving the effect of both epidemic prevention and teaching.With the prevention and control of the epidemic in China, the normal offline schooling has now started nationwide, and the active time of the users of the education platform has decreased.Data mining, data analysis, and the calculation of the user attrition rate of the education platform and making course correlation recommendations have played a decision-making role in promoting the development of the education platform model and the reform of the education model at this stage.Method: The collaborative filtering algorithm of the base model is based on the information of user preferences, trained into a complete model, and then based on the information of user preferences to make predictive recommendations and define the user churn rate calculation method.Results: We obtained the thermal distribution of user logins in each region calculated the percentage of user churn, the binary relationship between users and courses, and the ten most searched and welcomed courses.Conclusion: Based on the similarity of behavior between users and courses, there is a potential connection between different courses.
Research on the Teaching of “Fundamentals of Control Engineering” Integrated with MATLAB

Based on the course of Fundamentals of Control Engineering, this paper discusses a progressive teaching method integrating MATLAB simulation.The method evolves the basic teaching materials into professional cases and enriches the teaching cases.Through theoretical explanation, independent design, MATLAB simulation, feedback and innovation, integration of ideological and political education in several aspects of progressive, the learning content is multi-dimensional.Integrate ideological and political education in professional knowledge, so that students can set up correct ideas, value orientation and behavior mode while mastering professional knowledge.
Design of Graduation Thesis Management System Based on School Enterprise Cooperation Mode by B/S Architecture

The teaching reform of graduation project is an important content of the reform and development of higher education.With the change of the current talent training direction, many universities and enterprises have reached a cooperative relationship for students' graduation design, however in the actual management of students' graduation design, because this cooperative relationship involves three parties and personals, it is difficult to form a unified management.This paper studies and designs a student graduation thesis management system based on school enterprise cooperation, which can effectively manage the work related to student graduation project.This paper analyses the requirements of the system firstly, then design the student graduation thesis management system by B/S architecture.The data information storage is based on SQL Server.