Reviewerly/exHarmony huggingface dataset:
Measuring Social Mood on Economy during Covid times: effects of retraining Supervised Deep Neural Networks

Supervised Machine learning approaches are popular techniques used for sentiment analysis tasks. However, such techniques have strong limitations due to their sensitivity to the quantity and quality of the training datasets and may fail when training data are biased or insufficient. In the present study we address the impact of Covid on a deep learning classifier based on long-short term memory neural network (LSTM). This classifier is used to compute a daily sentiment index on Italian tweets with economic content, for the first five months of 2020 (more than 11 million of tweets are classified). We show how retraining the model with a set of annotated tweets containing reference to Covid increase the accuracy of the classifier. The accuracy is measured by analyzing the dynamics of the index. We will show that during pandemic the retrained index decreases coherently with most Italian economic indicators.In addition, we analyze how the training and tuning procedures (one-step, two-steps with fine-tuning) affect the daily dynamics of the index.
Software Defect Prediction System Based on Decision Tree Algorithm

Software defect prediction plays a crucial role in ensuring software quality and minimizing the potential risks associated with defects. This study aims to develop a comprehensive software defect prediction system that utilizes tree-based algorithms to enhance accuracy, feature selection, and evaluation metrics. The study addresses the limitations of previous research by considering a broader range of datasets, comparing computational efficiency with other ensemble techniques, and examining the impact of hyperparameters on model performance. The implemented system consists of three stages: dataset loading, processing, and result presentation. The dataset loading page allows users to upload their datasets in CSV format, simplifying the prediction process. The processing page performs essential tasks such as feature engineering, normalization using minimax normalization, and training the model with the decision tree algorithm. These steps ensure the extraction of relevant features, transformation of data, and learning of patterns and correlations for accurate software defect prediction. The study emphasizes the practical implementation of the developed system, going beyond model evaluation. By providing a fully functional and integrated system, this study bridges the gap between research and real-world application. The findings of this study contribute to the field of software defect prediction by offering an improved system that enhances accuracy, feature selection, and evaluation metrics. This has implications for software development and quality assurance processes, ultimately leading to higher software quality and increased productivity.
Pengembangan Perangkat Pembelajaran Berbasis Pendekatan Saintifik Menggunakan E-Modul Untuk Meningkatkan Kemampuan Koneksi Matematis Peserta Didik Kelas XI SMA

&lt;em&gt;This study adapts the Plomp development model by including the stages of preliminary research, prototyping, and evaluation. The tools developed are in the form of lesson plans and electronic modules based on a scientific approach for class XI high school. The tools used are confirmation sheets, observation sheets, questionnaires, interviews and tests. The value of the validity of the lesson plan is 3.5 with a very valid category and the electronic module is 3.28 with a valid category. The practical level of students in the electronics module is 88.39 in the very practical category and according to the educators, it reaches 97.91% for the lesson plan and 89.00% for the electronic boiler module in the very comfortable type. Learning tools based on a scientific approach using e-modules in the form of lesson plans and e-modules are very effective types with an efficiency level of 83.78%. It can be concluded that the scientific approach developed on learning tools using electronic modules on polynomial material is useful, practical and effective in improving the mathematical connection skills of class XI middle school students&lt;/em&gt;
Pengembangan Bahan Ajar Matematika Berbasis Problem Based Learning Berbantuan Kvisoft Flipbook Maker Pro Di Sekolah Dasar

&lt;em&gt;The research objective was to develop valid, practical, and effective integrated thematic teaching materials based on the PBL approach assisted by the Kvisoft Flipbook Maker Pro application in grade III elementary schools. This research is included in Research and Development research using the ADDIE development model. Collecting data using observation, interviews, questionnaires and written tests. Data analysis uses a Likert scale by looking at validation analysis, practicality, and effectiveness. The results obtained from the development of PBL-based integrated thematic teaching materials assisted by Kvisoft Flipbook Maker Pro in Class III Elementary Schools, namely the validity percentage of 89.06% (Content Validation), 80% (Graphical Validation), and 83.3% (Language Validation) . The practicality of the teacher's response was 80.00% (practical), while the student response was 80.26% (practical). Effectiveness is seen from student learning outcomes, namely the N-Gain Score of 0.71 (High) is obtained in the effective category. This means that the teaching materials developed are valid, practical, and effective for third grade elementary school students&lt;/em&gt;
"Conditions for the development of spiritual and cultural qualities in the process of continuous spiritual education of future teachers"

In this article, spiritual and cultural qualities are developed as important value in education, along with the democratization of education, in the process of observing the will and rights of the individual, and, in turn, the student's ability to feel responsibility and observe conscious discipline. It is indicated that education is of great importance patriotism, humanism, high morality, diligence, friendship and cooperation between peoples, conscientiousness, organization, justice and other qualities.
TEXT CLUSTERING ANALYSIS FOR PUBLIC SENTIMENT BASED ON TWITTER OPINIONS ON E-TILANG

Electronic Tickets (E-Tilang) have the advantage of faster service and have a very practical and fast system. Implementation of the E-Tilang system to facilitate transparency in the implementation of the ticket process or as a substitute for the ticket process on the spot. The effectiveness and efficiency of the E-Tilang system has generated various comments from the public. This study aims to determine the public's perception (sentiment) about E-Tilang. The data used in this study comes from people's tweets on Twitter about electronic tickets. This research shows that from the 524 Tweet data obtained, 252 people have positive sentiments, there are 98 people who have negative sentiments and there are people who have 174 neutral sentiments towards E-Tilang.
A Simple Root Location Estimation for 3D Pose Estimation with Root-Relative Coordinate System

There is a strong need for human action recognition in various areas of society. One of the most important technologies for physical action recognition is human pose tracking. In recent years, three-dimensional (3D) pose tracking methods based on deep neural networks (DNNs) have made significant progress. However, most of these methods require a high-end computer equipped with a graphics processing unit (GPU). The purpose of this study is to provide a lightweight pose estimation network for human action recognition tasks. We used Google's MediaPipe Pose, which is optimized to run in real time on the CPU alone, for action recognition on a low-end personal computer (PC). However, MediaPipe Pose cannot track the location of a human body because it estimates poses on a coordinate system with the waist as the origin (i.e., a root-relative coordinate system). Therefore, in this study, we developed a method to obtain the absolute coordinates of the root with a simple calculation. It was also found that moving median filtering on the computed 3D absolute coordinates of the root can reduce jitter in pose tracking. The proposed method can be performed in near real-time on a commercially available PC with a camera, and is expected to have many applications.
The Far-reaching Implications of China’s AI-powered Surveillance State Post-COVID

The COVID-19 pandemic has vastly accelerated the digitalization of public health practices worldwide. In doing so, it has fostered a new class of pandemic-related technological solutions, a subset of which utilize artificial intelligence for contact tracing purposes. The People’s Republic of China has not been immune from this rush to implement these novel tools. But there is a darker element to the country’s Alipay Health Code mobile application that extends beyond pandemic preparedness. With ambitions to further incorporate the app into their already vast surveillance apparatus, China is on the precipice of setting a dangerous precedent for pervasive, state-sponsored automated social control. In such a world, we may see health tools co-opted into systems that score individuals on their political fealty. As such, they have the potential to severely undercut democratic ideals by restricting the freedom to dissent necessary to uphold such values. They would do all this under the guise of promoting collective wellbeing.
Advantages and disadvantages of learning pronunciation in MS Teams classes: Perceptions of English-majored students at Van Hien University

Online classes have become important for all subjects, including pronunciation, because of the rapid advancements in science and technology, particularly during the Covid-19 and post-Covid-19 pandemic. However, Vietnam has produced only a small number of research articles on the advantages and disadvantages of online English pronunciation classes. Therefore, this study was conducted with the aim of examining how English-majored students at Van Hien University perceived the advantages and disadvantages of learning pronunciation in MS Teams classes. The online survey method via Google form was used to collect data from students of three English pronunciation classes at the Faculty of Foreign Languages, Van Hien University and received 131 valid answer sheets, of which selecting five students continued to participate in semi-structured interviews via telephone. The findings demonstrate that the benefits of class recordings were undeniable. On the contrary, in addition to technical concerns, students encountered other obstacles, such as learning environment issues and lack of direct contact.
Unusual Suspects

The use of artificial intelligence in facial recognition systems has been controversial. Among issues of concerns is the accuracy of such systems for recognising faces of non-white people. This work turns the debate on its head by showing six images of AI generated faces using identical prompts that include the words “Asian woman” and “facial recognition biometrics person technology” via Text 2 Dream in Deep Dream Generator. Rather than investigating the level of accuracy in facial recognition systems, it demonstrates how a particular AI software creates visual representation of “Asian women.” The experiment explores the interaction between text (prompt) and a particular generative algorithm. It raises questions about the data on which the algorithm is trained, how images are labelled/interpreted in training data, and the underlying power AI algorithms have in reproducing/changing stereotypes. Not transparent to the viewers is the role of the artist in selecting/framing prompts and “starter” images.
MALL integrated with metacognitive skills to promote preservice English teachers’ intercultural communicative competence

Utilizing mobile phones for education, particularly in mobile-assisted language learning (MALL), enhances comprehensive learning, intercultural communication, and metacognitive skill development among preservice teachers. This approach fosters the acquisition of intercultural communicative competence (ICC). Therefore, this study aims to investigate the effect of MALL integrated with metacognitive skills to promote preservice English teachers’ ICC. This pre-experimental study with one group design involved 28 preservice English teachers at a university in Mataram, Indonesia. The ICC and metacognitive questionnaires were utilized to collect the data, and the collected data were analyzed using descriptive and inferential statistical analysis using IBM SPSS devices. The results show that MALL helped preservice English teachers become autonomous learners and actively engage in self-regulating their cognitive abilities to think critically, adapt, and interact within diverse cultural contexts. MALL integrated with metacognitive skills significantly affected preservice teachers’ ICC, and the level of metacognitive skills influenced the success of improving their ICC. The implication of MALL can delve into the pedagogical approaches and design principles that optimize MALL interventions within mobile learning environments.
The importance of using an assistant teaching approach in graduate studies

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Topological complexity of $S^3/Q_8$ as fibrewise L-S category

In 2010, M. Sakai and the first author showed that the topological complexity of a space $X$ coincides with the fibrewise unpointed L-S category of a pointed fibrewise space $\proj_{1} \colon X \times X \to X$ with the diagonal map $\Delta \colon X \to X \times X$ as its section. In this paper, we describe our algorithm how to determine the fibrewise L-S category or the Topological Complexity of a topological spherical space form. Especially, for $S^3/Q_8$ where $Q_8$ is the quaternion group, we write a python code to realise the algorithm to determine its Topological Complexity.
Empirical Analysis of the Role of Population Mutations on Agricultural Productivity in Sub-Saharan Africa

This paper aims to analyze the role of population growth in the explanation of agricultural productivity in the context of Sub-Saharan African countries. Based on available data, we collected data on a sample of 24 Sub-Saharan African countries over the period 2000-2018. The empirical method consists of estimating an agricultural production function in turn by Generalized Least Squares (GMM) estimators on panel data and Generalized Moments (GLS) estimators in system. The results suggest that pesticide use is positively and significantly correlated (at the 1% threshold) with agricultural productivity in SSA. They also show that life expectancy at birth positively and significantly explain agricultural productivity in SSA. This means that the larger the population, the more important agricultural productivity is. The rural population is negatively correlated with agricultural productivity, reducing agricultural employment as rural populations migrate in search of better living conditions. We therefore suggest that African governments step up financial support programs for young people to limit the brain drain and encourage agricultural employment.
Research and Application of Digital Classroom Teaching Development in the Post-Pandemic Era

With the continuous development of information technology, digital classrooms are becoming more adapted to the demands of talent cultivation in the modern era. The digital classroom teaching model is a reform of traditional teaching methods, and constructing a digital classroom allows for more flexible organization of instructional design, fostering students' creative thinking and enhancing their overall qualities. Seizing the opportunity for the development of applied universities, our school is constructing a locally distinctive path of information technology. This article takes higher mathematics as an example to elaborate on the practical application experience of digital classroom teaching development. In conclusion, this article summarizes the shortcomings in the process of digital classroom construction, which holds certain reference value and significance for future work.
Design of a Shell to Protect Sensors and Drones

This paper presents a novel protective shell system designed to safeguard both the drone and its accompanying sensors. The objective of this project is to develop and test the shell-shaped container to check its capability of securely housing the drone. The system may incorporate a circuit board housing a processor that receives data from sensors and controls the opening and closing motions of the container. By analyzing the sensor information, the system may intelligently respond to adverse weather conditions by automatically closing the container to ensure the drone’s protection. This innovative solution addresses the challenges associated with deploying drones in outdoor environments and offers enhanced safety and durability for extended drone operations.
Analysis of National Research Trends on the Declining School-Age Population

Objectives This study aims to analyze the domestic research trends in the study of the declining school-age population due to the low birthrate, currently the million-dollar question in Korea. Based on the results, the study will provide meaningful basic data for the conception and establishment of education policies and suggest efficient research directions for subsequent studies to help strengthen educational competitiveness that determines the country's future.&#x0D; Methods To this end, 62 studies were selected after searching and classifying 110 domestically published dissertations and academic journal articles from 2000 to August 2022, and the research trends were analyzed in terms of the research period, research subjects, research regions, and research topics through classification analysis criteria and inter-rater agreement verification. The research tool used for descriptive statistics was Excel to calculate frequencies and percentages. &#x0D; Results Major results are as follows: First, there were 5 (8.1%) research papers on school consolidation, closure, and relocation, which were classified as hardware, as a research topic, which accounted for the highest number, followed by 4 (6.5%) research papers on how to utilize idle and spare classrooms, and 9 (50%) research papers related to these two keywords. In the research keywords categorized as software, there was a slight difference in ranking by topic, and among them, research papers with keywords related to the development and improvement directions of education, future-oriented education, etc. accounted for the largest number of 6 (9.7%), followed by research papers on student placement planning with 5 (8.1%). Second, in terms of yearly trends, from 2000 to 2013, there were 0-1 studies, and from 2015 onward, there were 3-5 studies published annually, with a significant increase in 2020, when the urgency of the declining school-age population hit the ground running. Third, in terms of human aspects, the biggest number of 30 papers (47.6%) studied teachers, students, and parents as research subjects, and in terms of physical aspects, the biggest number of 26 papers (41.3%) studied schools and facilities. Fourth, in terms of the distribution of regions studied, an overwhelming number of 26 papers (41.9%) focused on the national level, followed by 8 papers (12.9%) focused on the capital area, including Seoul. There were 1-2 research papers for each metropolitan city, but none of them studied Gwangju Metropolitan City. Of the 75 autonomous cities in Korea, only 12 cities (16%), including the first-phase new towns, were studied under the keyword of “declining school-age population,” and of the 8 provincial regions, only 3 regions, Chungcheongnam-do, Chungcheongbuk-do, and Gyeongsangnam-do, were not studied and compared.&#x0D; Conclusions Based on the derived results, we summarized the tendencies of research trends for papers related to the declining school-age population and suggested implications for further studies in terms of diversifying and deepening research and its necessity.
A Fact-Finding Survey on Freshman of 2022: Focusing on K University

Objectives This study aimed to obtain implications for university operation by analyzing expectations and attitudes toward college life, academic and career plans, etc. through a fact-finding survey of freshmen at k university in 2022.&#x0D; Methods The survey in this study was conducted online over three days from December 20, 2022 to December 22, 2022, and was analyzed using SPSS. &#x0D; Results The implications of the study results are as follows. First, universities should provide opportunities to work on campus and expand scholarships. Second, it is necessary to provide admission information sessions and publicity programs for high school graduates, and expand publicity and experience programs during application writing and application period. Third, the university website needs to be improved. Fourth, it is necessary to improve the university's image and increase satisfaction. Fifth, practical/practical classes should be expanded. Sixth, the teaching and learning center should improve basic learning programs, self-development programs, and learning clubs to help with learning and time management. Seventh, the employment career center should expand courses for acquiring licenses and help career exploration by utilizing special lectures by seniors and external experts. Eighth, the student counseling center should pay attention to the academic problems, aptitude, and career problems of freshmen. &#x0D; Conclusions This study is meaningful in that it identified the characteristics and needs of k university freshmen and suggested a direction for establishing freshman programs and systems based on them.
A study on the experience and coping strategies of college students with low academic achievement

Objectives The purpose of this study is to understand the experience and coping strategies of low-achieving college students and examine the needs for program and policy development for college students.&#x0D; Methods For this purpose, three college students were participated in this study, and the ground approach method has been used to identify the characteristics of low achievers and way of copying the low academic achievement.&#x0D; Results The analysis of results is as follows: First, this research presents some factors affecting students' low academic achievement such as their low motivation and self-efficacy, ineffective study habits and strategies, lack of self-regulation, and less reputation of college than university. Second, this research finds that the research participants have overcome the academic problems actively participating learning support services, having a supportive relationships with significant others such as professors, parents, and friends, and increasing the interest in their major. Finally, this research reveals that the college students have used different coping strategies in active and inactive ways.&#x0D; Conclusions Based upon the results of this study, it suggests the intervention mechanism and services which involve psychological-emotional support for learning and the management system for freshman college students strengthening their educational guidance. Also, it offers a customized learning support program for improving academic competency depending on the causes of low academic achievements.