Reviewerly/exHarmony huggingface dataset:
Communication technology and the prospect of 5G

Since the turn of the twenty-first century, our civilization's expansion has accelerated dramatically. Science and technology are becoming increasingly refined and intelligent. In the field of communication, five generations have existed. It is utilized in many regions of the globe. A range of modern communication technologies have made it more practical for both individuals and groups. This essay will cover the history of communication as well as the essential concepts underlying the development of crucial 5g technologies like as non-orthogonal multiple access (noma), ultra-dense hetnets and massive mimo(multiple-input multiple-output). The majority of this paper's sections relate to the sections listed in the table of contents: general characteristic, benefit, development, and outlook. Also what the paper covered includes the mimo-noma system, which combines mimo with noma. For the tendency of it,we can continue to investigate this potential method. In its conclusion, the research examines the possibilities for future growth in the communications industry. Despite some disadvantages, these technologies offer numerous merits. As communication technology advances, artificial intelligence, the internet of things, transportation, and other industries will alter.
Comparing the effect of CNN and linear regression on facial expression recognition

In Modern computer vision technology, facial expression recognition plays an important role. Many cases leverages this technology. This paper studies the Convolutional Neural Networks(CNN) in recognising the facial expression. We first show our research method to learn the model. Then we use the dataset to illustrate the efficiency CNN and Linear Regression. By showing the result of the two methods, we can clearly see the advantages of the CNN. We hope our research can help researchers have a better understanding about the CNN model.
Comparative analysis between application of transformer and recurrent neural network in speech recognition

Transformer is a deep learning model applying self-attention mechanism which is widely used in solving sequence-to-sequence questions, including speech recognition. After Transformer was proposed, it has been greatly developed and made great progress in the field of speech recognition. Recurrent Neural Network (RNN) is also a model that can be used in speech recognition. Speech recognition is a kind of sequence-to-sequence question that can transform human speech into text form. Both RNN and Transformer use encoder-decoder architecture to solve sequence-to-sequence questions. However, RNN is a recurrent model, weak in parallel training, and it will not perform quite well as Transformer in sequence-to-sequence question, which is a non-recurrent model. This paper mainly analyzes the accuracy Transformer and RNN in automatic speech recognition. It shows that Transformer performs better than RNN in speech recognition area, having higher accuracy, and it therefore provides evidence that Transformer can be an efficacious approach to automatic speech recognition as well as a practical substitution for traditional ways like RNN.
Composite Laminate Analysis Tool—CLAT

This chapter describes the programming approach for the Python-based computational tool, the so-called Composite Laminate Analysis Tool (CLAT). The choices for the different tools and libraries, particularly for our user interface, are explained in detail. The second part of this chapter covers the graphical appearance, functionality, and practical handling of CLAT.
Formation and Transformation of Ideals and Scientific Research Norms in the Field of Professional Social Progress

Scientific activity draws ideals and norms from socio-historical practice. Historically, science is associated with the development of culture, in which science acts as one of the activities for acquiring knowledge about the world and the person in it. Scientific knowledge interacts with other segments of culture, with other types of non-scientific knowledge. The ideological picture of each epoch formed by the whole system of knowledge becomes the basis for scientific ideas. The ideals and norms of a certain stage of culture, one way or another, are embodied in the parameters of scientific research. On the basis of a retrospective, the article examines the existing and probable directions of development and search for ideals and norms of scientific knowledge. As a hypothetical assumption, a proposal was made to include reasonable forces that surpass human culture in the modern scientific picture of the world. After all, latently this is already contained in the form of the anthropic principle, the idea of the unlimited development of scientific knowledge, the doctrine of social progress. However, such a piece of scientific knowledge should not be developed on the basis of traditional religious ideas. A similar picture of the world is being developed in the scientific developments of domestic and foreign scientists, the CETI project.
DEVELOPING THE TEACHING MATERIALS FOR WRITING SHORT STORIES BASED ON THE SAVI APPROACH (SOMATIC, AUDITORY, VISUALIZATION, INTELLECTUAL)

This development research aims to produce teaching materials that are valid, practical and have potential effects for fifth grade elementary school students. This research uses the type of development research (research and development). The development model in this study refers to the ADDIE model which consists of the analyze stage, the design stage, the development stage, the implementation stage and the evaluation stage. The collection of research data was obtained from validation sheets, student response questionnaires and tests. The results of the study of teaching materials for writing short stories based on the savi approach for fifth grade students based on a team expert validation questionnaire assessing in terms of media appearance, presentation of material and use of language as a whole obtained a percentage score of 95, 8% with a very valid category and suitable for use at the trial stage. The results of the One To One questionnaire obtained a percentage score of 91.6% in the very practical category and the results of the Small Group questionnaire obtained a percentage score of 93.4% in the very practical category. Then the results of student tests using teaching materials obtained a percentage of 84.60% in the very effective potential category. Based on the results developed by the researcher it was concluded that the Development of Short Story Writing Teaching Materials Based on the Savi Approach (Somatic, Auditory, Visualization, Intellectualy) for Grade V Elementary School Students meets the valid, practical, potential effect criteria and is appropriate for use in the process of learning Indonesian short story material.
ENHANCING STUDENTS SPEAKING SKILL THROUGH ACTING PLAY SCRIPTS (APS) TECHNIQUE

During the process of learning to speak, students often encounter various challenges. Many students exhibit passivity in speaking lessons and lack confidence when speaking in front of the class due to limited vocabulary and a lack of conceptual understanding. The researcher aimed to determine whether the use of "Acting Play Scripts" (APS) in teaching speaking could improve students' speaking skills. The research problem focused on the effectiveness of teaching speaking through the APS technique for students in the English Department of PGRI University Palembang. The objective was to assess the effectiveness of the APS technique in enhancing students' speaking abilities. The study specifically concentrated on students' speaking proficiency in English and utilized a pre-experimental method with a one-group pre-test and post-test design. The researcher selected a single class, namely the 5A class of fifth-semester students from the English Department, comprising 33 students. The findings revealed that the average score in the pre-test was 63.80, while the average score in the post-test was 71.51. The significance level was set at 5%, with a degree of freedom (df) of 32. The critical value of the t-table was 1.6938, and the t-obtained was 55.07. Therefore, the null hypothesis (Ho) was rejected and the alternative hypothesis (Ha) was accepted, indicating that teaching speaking through the APS technique was effective for students in the English Department of PGRI University Palembang. The APS technique resulted in improvements in students' speaking abilities, including their mean scores, their ability to express ideas using appropriate vocabulary and grammar, and their pronunciation development. The implementation of the APS technique in the speaking classroom exhibited strengths, such as increased student participation and enhanced speaking skills.
Students’ Difficulties in Reading Comprehension at English for Food Technology

English for Food Technology (EFT) is one of the subjects which should be learnt in the third semester by students majoring Food and Technology Department. Most of the students find some difficulties in reading comprehension since they do not have background knowledge related to the new vocabularies. The purpose of this study was to describe the difficulties encountered by students in learning English for Food Technology especially in reading comprehension. This study employed qualitative design. There were 11 students who have passed English for Food Technology recruited as the sample of research. The data were collected by using questionnaire, test, and interview. The data were analyzed descriptively. The result of this research showed that students’ difficulties in learning English for Food Technology were unfamiliar words, lack of background knowledge, and complex syntax. It is expected that the lecturer give motivation and apply various teaching method so the students can be motivated in learning English for Food Technology.
THE NEEDS ANALYSIS OF MULTILINGUAL THEMATIC DIGITAL DICTIONARY FOR LITERACY DEVELOPMENT

Students must be capable of technological advances that can make it easier to interact and compete in the world in the digital age. Therefore, students must have a strong foundation following the desired needs and achievements concerning English language skills. One of the supporting students' learning is a digital dictionary with multilingual. Thus, this study aims to develop a multilingual digital dictionary for fifth-grade elementary school students. However, this article describes the need for multilingual Digital dictionaries for fifth-grade elementary school students. This study involved 656 students and 27 English Teachers in grade five from Nine sub-districts in Buleleng Regency. This qualitative research aimed to analyze the results of needs for, In data capture. The study used observations, questionnaires, and interviews. This study shows that students are in dire need and want a multi-lingual digital dictionary to support their English learning.
Threat Cost Based Multi-level Prediction D-star Algorithm

In this paper, we propose a Multi-level Prediction D-star algorithm (MLP D-star) based on threat cost to address the path planning problem of mobile robots in local unknown environments.The algorithm improves the node expansion of the D-star algorithm using a multi-level prediction structure, which avoids excessive turning points in the planned path.The cost function of this algorithm incorporates threat cost and heuristic function to prevent the issue of path crossing obstacles.Simulation results demonstrate that the improved MLP D-star algorithm has advantages in terms of real-time performance, practicality of path results, safety, and computational efficiency.
Application-oriented Undergraduate Talent Training and Cooperative Learning Teaching Reform

With the continuous progress and development of society, the requirements for college graduates are also increasing, especially the demand for applied talents is becoming more urgent.Therefore, this article aims to explore how to cultivate undergraduate applied talents with practical application abilities through teaching reform, and discusses how to strengthen the interaction between students and improve their cooperation awareness and teamwork ability through cooperative learning; how to cultivate students' innovative thinking ability and practical ability through teaching reform to help students better adapt to the needs of the future workplace.Thus, in the theoretical level, this paper provides some new thinking and enlightenment for the development of teaching theory, promotes the continuous improvement and perfection of education teaching, and further promotes the development of our education cause.
Research and Application of Probability and Statistics in Practical Teaching

With the progress of today's society, the policies in the field of education have also been improved, including mathematics education.As the content of probability and statistics has increased significantly in mathematics textbooks, the teaching syllabus has also been constantly adjusted to adapt to the current mathematics teaching reform, and the teaching methods have also been constantly changing.Although the teaching content of probability and statistics has been gradually expanded and distributed in today's mathematics teaching, there is still a lot of room for improvement in terms of textbook content, teachers' teaching and students' learning.This paper expounds the mathematical thinking and characteristics in statistics and probability, roughly summarizes the problems and obstacles in mathematics teaching, and puts forward the teaching principles and strategies that should be paid attention to in mathematics teaching, in order to cultivate students' mathematical thinking through the teaching of probability and statistics, excavate the deeper connotation and significance contained in probability and statistics, and provide practical value for the research and application of mathematics teaching.
Teaching Reform of College Japanese Course in the Perspective of Online Education on the Internet

The development of science and technology has promoted the current highquality reform of teaching.Under the background of online education on the Internet, the teaching reform of college Japanese courses has entered an important stage of development.Internet online teaching is a new teaching method, which embodies a new teaching mode in the teaching of Japanese majors and realizes the integration of the Internet and teaching field.The way of online education on the Internet has promoted the efficiency of Japanese teaching, which is the focus of the current Japanese teaching reform.It is necessary to clarify the effective measures and strategies of Japanese course teaching reform in the context of online education, so as to make the current Japanese course teaching keep pace with the times.
Web-Based Library Information System Design at SMA S Assyfa Pasaman Barat, West Sumatra

The library is a learning resource center that can support in achieving learning objectives, creating active, creative, effective, and fun learning towards quality learning. The library functions as a source of information, supporting learning for students and teachers at SMA S Assyfa West Pasaman, West Sumatra. The problem that exists is that the data collection process is still manual so that it slows down the performance of librarian in borrowing and returning books. By using the library information system design aims to maximize the performance of librarian with the help of web-based software in processing data quickly and precisely. The method used is the waterfall method with data collection techniques, namely observation and literature study. Web applications have convenience including easy access and flexibility, no need to install, fast server setup and can be updated easily. The results of this study can provide a solution to improve the service and performance of librarian in terms of managing library administrative data and speeding up transactions for borrowing and returning books by students.
DEVELOPING MOODLE-BASED E-LEARNING MEDIA TO LEARN NEWS WRITING

Students majoring in English language education need to have proficient writing skills which show wide range of cognitive and linguistics abilities. For that reason, news writing that includes techniques for writing good headlines, techniques for writing interesting headlines, and techniques for creating a comprehensive and in-depth news body is appropriate to facilitate that needs. The purpose of this research is to develop Moodle, Google Slides, and Power Point-based E-Learning aids for learning how to write news articles in writing for mass media course for English language education students. This study employs the 4D development model (Define, Design, Development, and Dissemination) to conduct R&amp;D. This research uses a non-test instrument data collection strategy in the form of a questionnaire distributed to two material experts and two media experts. The results are as follows: a) the validation results by material experts received a score of 81.54 %, placing them in the very feasible category; b) the validation results by media experts received a score of 78.4 %, placing them in the feasible category. These results indicate that the E-Learning Moodle's learning materials are suitable to be used in the journalism course
DEVELOPMENT OF ANDROID APPLICATION FOR STUDENTS PERFORMANCE EVALUATION

The main objective of this project is to provide results to the students in a simple way.Here two components make up the system Students and the Administrator.The application provides students with a platform to track their academic progress report whereas Administrators are provided with the website.For the web part the server side language in this program is PHP[2], for the back-end design is MySQL[2] and PHP and the front-end tools are HTML[2], CSS and JavaScript and for the application[1] part the software used is Android Studio and the languages used are Java and XML
An Implementation of Covid-19 Face Mask Detection Using Deep Learning in Matlab

The World Health Organization has imposed various restrictions to control the spread of the corona virus, including wearing masks and maintaining social distance.In the midst of such a severe crisis, this project can be used in social gatherings to find masks to help reduce the spread of Covid-19.This paper proposed a face mask detection algorithm to obtain static wear based on improved YOLO to solve low accuracy, low real-time performance, instability and other problems of complex area.Corona face mask provides a real-time measure of safety for people by finding out whether a person is wearing a mask or not as wearing a mask is an essential requirement of the hour for the COVID-19 epidemic.Finally, the data set for finding a face mask is done according to the standard wear of the mask.Based on a deep learning algorithm, the various test indicators are compared to evaluate the effectiveness of the model.This thesis presented a study on face recognition and mask detection through deep learning techniques by developing YOLO and SSD model using machine learning techniques.Although half of the faces were covered by masks, this process provided accurate and fast results for facial recognition security systems.Test results show a high accuracy rate in identifying masked and unmasked person.This model was able to achieve a performance accuracy of 71.6% using YOLO and performance accuracy of 97.6% using SSD, which is a remarkable achievement.Also, the study proposed a useful tool to combat the spread of the Covid-19 disease by allowing all individuals to wear face masks while performing biometric authentication.
The Effect of Career Elasticity on Career Decision Self-Effectiveness and Career Preparation Behavior in High School Students

Objectives The purpose of this study is to find out the effect of career elasticity of high school students on career decision-making self-efficacy and career preparation behavior.&#x0D; Methods To this end, 346 second-year students attending humanities high schools in the Seoul metropolitan area were tested for career resilience, career decision-making self-efficacy, and career preparation behavior from October 15 to December 30, 2022. Descriptive statistics and reliability analysis were conducted as an analysis of the collected data, and Pearson correlation analysis and regression analysis were conducted to verify the relationship and influence between variables.&#x0D; Results It was found that there was a positive correlation between career elasticity, career decision-making self-efficacy, and career preparation behavior. In addition, career elasticity was found to have a positive effect on career decision-making self-efficacy and career preparation behavior. In particular, career resilience has been found to have the greatest impact on planning, a sub-factor of career decision-making self-efficacy, and self-understanding behavior, a sub-factor of career preparation behavior.&#x0D; Conclusions By verifying that high school students' career resilience affects their career decision-making self-efficacy and career preparation behavior, this study demonstrated that career resilience is an important variable in the process of transferring them to practical and specific actions.
The effects of problem-based project instruction on self-directed learning, communication, and problem-solving competence in gifted students

Objectives The purposes of this paper were to explain how group project of problem-based learning affect the self-directed learning, communication, and problem-solving capabilities of gifted students.&#x0D; Methods The effectiveness of group project of problem-based learning was confirmed by using a pre-post response sample t-test on self-directed learning, communication, and problem solving competency for 86 students at A University's Gifted education center.&#x0D; Results Through the problem-based learning program, the gifted students showed statistically significant improvements in self-directed learning, communication, and problem-solving competencies. Among the sub-factors of self-directed learning competence, learning planning(t=-6.580, p&lt;.001), learning execution(t=-5.797, p&lt;.001), and learning evaluation(t=-6.155, p&lt;.001), the gifted students showed the greatest difference in the learning planning factor. Communication competence showed a significant difference in the interpretive domain, which is the ability to give meaning to the environment surrounding the communicator (t=-7.892, p&lt;.001). Finally, in problem-solving competency, the performance evaluation factors showed a statistically significant difference (t=-7.750, p&lt;.001).&#x0D; Conclusions Based on these results, it was confirmed that problem-based learning is that can improve the core competencies of gifted students, and the need for development of a teaching-learning model suitable for the characteristics of gifted students and continuous education programs was suggested.