Reviewerly/exHarmony huggingface dataset:
Education of Standard Chinese ‘friction' Based on Speech Analysis

Based on speech analysis, this study analyzed the pronunciation status of standard Chinese fricative for front-line and prospective Korean Chinese teachers, and examined the fricative education measures proposed by them. The pronunciation and practice reports of front-line or prospective Chinese teachers attending H University’s Graduate School of Education were studied. As a result of the study, first, friction sections of Koreans, including fricative sounds f[f], h[x], x[ɕ], sh[ʂ], s[s], affricative sounds j[tɕ], zh[tʂ], z[ts], aspirated sounds p[ph], t[th], k[kh], q[tɕh], ch[tʂh], and c[tsh], were shorter than that of Chinese. Second, since the correction plan mainly relied on the explanation of the textbook, technical terms and theoretical guidance were the main. Of course, there was also a lively correction plan that said, “Be careful not to completely open the gap between the upper and lower lips too quickly,” but overall, there was a regret that it lacked operability to use it directly in the field. In this study, I also felt the need to melt technical terms related to pronunciation according to the field, and I felt the need for related research to establish an automatic pronunciation evaluation system in the future. And although it has not secured a wide range of research subjects, I think this experiment and its results are worthwhile because all participants in this study are high-quality Chinese speakers and teachers who are currently engaged in Chinese education or will be in charge of Chinese education in the future.
On the Meaning of Psychological Concepts: Is There Still a Need for Psychological Concepts in the Empirical Sciences?

When empirical psychology mostly focuses on physiological processes and external behavior that have their own concepts, the meaning of psychological concepts becomes obscure. If there are only physical processes and external behavior, then why are psychological concepts needed in the empirical sciences?Since the late 19th century, empirical psychologists and cognitive scientists have argued that introspective information about normal psychological processes is not reliable. Furthermore, many philosophers consider that the physicalist theory of mind is true, which would imply that psychological concepts are only words without explanatory power. However, without introspection, we would not be able to form concepts about other minds and psychological phenomena and understand the psychological states of other people or animals. The meaning of a psychological concept is neither its use for external behavior nor language use in context.
ACP-YOLO: Asymmetric Center Point Bounding Box Regression Strategy and Angle Loss-based YOLO for Object Detection

Abstract The YOLOv4 approach has gained significant popularity in industrial object detection due to its impressive real-time processing speed and relatively favorable accuracy. However, it has been observed that YOLOv4 faces challenges in accurately detecting small objects. Its bounding box regression strategy is rigid and fails to effectively leverage the asymmetric characteristics of objects, limiting its ability to enhance object detection accuracy. This paper proposes an enhanced version of YOLOv4 called ACP-YOLO (asymmetric center point bounding box regression-based YOLOv4). The ACP-YOLO approach introduces two customized modules: an asymmetric center point bounding box regression strategy and an angle-loss function. These modules contribute to improving the algorithm's detection accuracy by enabling more precise localization of objects. Additionally, ACP-YOLO adopts an improved feature fusion technique, which facilitates enhanced information flow within the network, thereby further enhancing accuracy performance. Experimental evaluations conducted on the COCO2017 dataset demonstrate the effectiveness of the proposed method. ACP-YOLO achieves an average precision of 45.6\%, surpassing both YOLOv4 and certain previously developed one-stage detectors. The utilization of an asymmetric center point bounding box regression strategy and the incorporation of robust feature fusion contribute to superior object detection accuracy in ACP-YOLO compared to YOLOv4.
COVID-19 cross-border case and contact tracing activities - experiences and lessons learnt, Germany, April-December 2020

Abstract Background Interruption of transmission chains has been crucial in the COVID-19 response. The Emergency Operations Centre (EOC) at the Robert Koch Institute (RKI) coordinated cross-border case and contact tracing activities at the national level by sharing data with German public health authorities (PHA) and other countries. Data on these activities were not collected in the national surveillance system, and thus were challenging to quantify. Our aim was to describe cross-border COVID-19 case and contact tracing activities including lessons learnt by PHA to adapt the procedures accordingly. Methods Case and contact tracing events were recorded using unique identifiers. We collected data on cases, contacts, dates of exposure and/or SARS-CoV-2 positive test results and exposure setting. We performed descriptive analyses of events from 06.04.-31.12.2020. We conducted interviews with PHA to understand experiences and lessons learnt, applying a thematic approach for qualitative analysis. Results From 06.04.-31.12.2020 data on 7,527 cross-border COVID-19 case and contact tracing activities were collected. Germany initiated communication 5,200 times, and other countries 2,327 times. Communication from other countries was most frequently initiated by Austria (n = 1,184, 50.9%), Switzerland (n = 338, 14.5%), and the Netherlands (n = 168, 7.2%). Overall, 3,719 events (49.4%) included information on 5,757 cases (median 1, range: 1–42), and 4,114 events (54.7%) included information on 13,737 contacts (median: 1, range: 1–1,872). The setting of exposure was communicated for 2,247 of the events (54.6%), and most frequently included private gatherings (35.2%), flights (24.1%) and work-related meetings (20.3%). The median time delay between exposure date and contact information receipt at RKI was five days. Delay between positive test result and case information receipt was three days. Main challenges identified through five interviews were missing data or delayed accessibility particularly from flights, and lack of clear and easy to use communication channels. More and better trained staff were mentioned as ideas for improving future pandemic response preparedness. Conclusion Cross-border case and contact tracing data can supplement routine surveillance but are challenging to measure. We need improved systems for cross-border event management, by improving training and communication channels, that will help strengthen monitoring activities to better guide public health decision-making and secure a good future pandemic response.
Library Branding: Requirement, Implication and Importance

Libraries play a crucial role in society, serving as a beacon of knowledge and learning.We do have hundreds of literature which glorify libraries and their role in evolving society.However in today's fast paced digital world, libraries are facing tough competition from new age technological learning assistance.The purpose of this paper is to explain what is library branding?Why it is require?What is the significance of library branding?What are the earlier efforts made to library branding?And also discussing the importance of library branding and best way of library branding.
A feature-based Modeling Strategy for Managing Stakeholders

Successful product development is mostly based on how well ideas, opinions, and contributions from stakeholders are taken into account. There are signs that the way a project manager involves stakeholders in the project is directly linked to how well software products are delivered. Engagement of stakeholders enables organizations to proactively consider the requirements and desires of anyone with a stake in the stakeholder management process. For the stakeholder management process to work, all stakeholders must be listed in a reference document, and their involvement in the process must be kept up-to-date. The main goal of this study is to find a solution to this problem by coming up with a feature-based strategy for capturing and documenting the right stakeholders during the stakeholder management process. The strategy also supports ongoing monitoring of the status and attributes of stakeholders during this process. To evaluate the strategy, we have conducted a case study on the stakeholder management process of Smart Home to assess the ease of use, usefulness, effectiveness, and efficiency of the proposed strategy. The results reveal that our strategy of documenting and keeping track of the stakeholders makes the stockholder management process more effective and efficient. The results have also shown that the proposed strategy is considered easy to learn and useful by the software engineers.
Balancing evidence-informed and user-responsive design: Experience with human-centered design to generate layered economic empowerment and SRH programming in Tanzania, Ethiopia, and Nigeria

<ns3:p>In 2021, the Adolescents 360 (A360) project pursued a human-centered design (HCD) process to layer complementary economic empowerment components on top of its existing sexual and reproductive health (SRH) interventions targeting adolescent girls aged 15 to 19. Given the volume of evidence informing successful approaches for improving economic and empowerment outcomes for adolescents, we pursued an intentionally evidence-informed and gender-intentional design process, while trying to also respond directly to user insights. In this open letter, we share how we utilized and validated the evidence-base while applying the core tenets of HCD (empathy and user insights) to design holistic, layered programming for girls. We describe three overarching categories which depict how we used the existing evidence and new user insights to strengthen our design process. Often the evidence base allowed us to expedite finding a solution that worked for our users. However, at times there was a disconnect between what we knew worked in the evidence base and what our users said they wanted. New insights also allowed us to build a greater understanding of our users’ lived experiences where there were existing evidence gaps. We were aided by the engagement of a technical partner, BRAC, who synthesized evidence for our design teams and functioned as an ‘on demand’ support mechanism as questions and challenges arose. Yet, the volume of information to absorb almost guaranteed that we would miss out on the opportunity to apply certain evidence-based practices. We encourage researchers to consider how to make evidence more easily digestible to practitioners and for the whole community of practice to work together to identify what questions need to be asked to effectively operationalize evidence in a local context.</ns3:p>
The Widespread Application of Artificial Intelligence in Education Necessitates Critical Analyses

Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with the development of computer systems and smart machines capable of performing tasks that typically require human intelligence such as learning, problem-solving, and decision-making. AI technology can serve as an extension of human intelligence, carrying out part of the work that could only be done by humans in the past and even tasks that humans are incapable of accomplishing, which can potentially elevate social productivity to a significant extent. To date, AI has permeated every aspect of our life. Education is one of the spheres to which AI will bring profound changes.
PENERAPAN MEDIA GAMBAR PUZZLE DALAM PEMBELAJARAN IPS KELAS V DI SD NEGERI 1 SURULANGUN

his study aims to determine the completeness of the social studies learning outcomes of class V students at SD Negeri 1 Surulangun after the application of the puzzle image media. The media used in this research is the puzzle image media. The population is all students of class V Surulangun, amounting to 43 students, while the sample is a class that is one of the non-random sampling techniques where the writer determines the sampling by determining special characteristics. Data collection was done by using test techniques. The data were analyzed by using the normality test and statistical t-test. The results showed that the students 'pret-test mean score was 34.62 and the students' post-test mean score was 74.74. Based on the t-test analysis at a significant level = 0.05. Obtained ttable = 1.73 and tcount (7.26), so it can be concluded that the application of puzzle image media in the fifth grade social studies learning at SD Negeri 1 Surulangun is significantly complete.&#x0D; Keywords: Application of puzzle image media, SD IPS learning
PENGEMBANGAN MEDIA PEMBELAJARAN VIDEO INTERAKTIF PADA MUATAN IPS BERBANTU APLIKASI KINEMASTER KELAS V SDN NO 21/VI RANTAU SULI

This research is motivated by the difficulty of students understanding special social studies learning material, difficulties in choosing suitable media for the material are still experienced by educators so that it influences student learning outcomes. This study intends to develop interactive learning videos on social studies content assisted by the kineMaster grade V SD application that are valid, practical and effective. The research method used is research (R&amp;D) Research and development. The research model used is the ADDIE Model with stages (1) Analysis, (2) Design, (3) Development, (4) Implementation, (5) Evaluation). The five stages are carried out through needs analysis, curriculum analysis, and character analysis. Based on the results of the research that has been carried out, the validity of the interactive video media was obtained from 3 expert validators, indicating that the interactive video media obtained an average of 85.86% in the very valid category, the results of the interactive video practicality were assessed from the educator's response questionnaire and students to the interactive video, totaling 1 teacher and 14 students in class V at SDN No 21/ VI Rantau Suli, obtained an average of 92.94% categorized as very practical. The effectiveness of interactive videos obtained an average of 84.16% categorized as very effective. Thus it can be concluded that the interactive videos that have been made are very valid, practical, and effective for use in class V SDN No 21/ VI Rantau Suli.
Protocol-Guided Teaching in Junior-Secondary Physics Education: An Analysis of the Learning Protocol for the Velocity Instruction Based on Real-World Circumstances

Protocol-guided teaching is a student-centered instructional model in which the teacher creates the learning protocol prior to the lesson in order to direct students toward active and autonomous learning. A well-structured learning protocol is essential for the effective application of this instructional paradigm. This article evaluates the significance of protocol-guided instruction in junior secondary physics education by analyzing the learning protocol for velocity instruction. Protocol emphasizes situation-based learning and the inquiry chain method.
A comparative analysis of Indian sign language recognition using deep learning models

Sign language is a form of communication where people use bodily gestures, particularly those of hands and arms. This method of communication is put into motion when spoken communication is unattainable or disfavored. There are very few people who can translate sign language and readily understand them. It would be convenient for the hearing-impaired to have a platform where their sign language could be translated easily. Hence, through this study, with the help of artificial neural networks, we wish to compare how various widely implemented deep learning architectures respond to faultless translation of Indian sign language for the native audience. This research would streamline the development of software tools that can accurately predict or translate ISL. For the purpose of understanding the method of training the machine and exploring our model’s performance without any optimizations, a Convolutional Neural Network architecture was implemented. Over the course of our research, there have been several Pre-trained Transfer Learning Models implemented that have yielded promising results. The research aims to contrast how various convolutional neural networks perform while translating Indian Sign Actions on a custom dataset that factors in illumination, angles, and different backgrounds to provide a balanced and distinctive set of images. The goal of this study is to make clear comparisons between the various deep learning frameworks. Hence, a fresh Indian sign language dataset is introduced. Since every dataset in the field of deep learning has special properties that may be utilized for the betterment of the existing models, the development of a fresh dataset could be viewed as a development in the field. The optimum model for our task: classification of these gestures is found to be ResNet-50 (Accuracy = 98.25% and F1-score = 99.34%), and the least favorable was InceptionNet V3 (Accuracy = 66.75%, and F1-score = 70.89%).
Pemahaman Konsep Peserta didik Melalui Penerapan Model Bamboo Dancing

The background of the research was lack of the learners’ concepts due to not-optimum learning model implementation. This situation did not provide the learnres adequate opportunities to participate in the learning. This research aimed to improve the conceptual understandings of the learners. The subjects consisted of 24 learners: 8 male and 16 female learners. The researchers collected the data with test, observation, field note, and documentation. The techniques of analyizng the data were quantitative analysis for the conceptual understanding of the learners on each cycle and qualitative data analysis on each cycle. The results showed that Baboo Dancing model implementation could improve the fifth graders’ conceptual understanding at Public Primary School Babakanjawa V. The result showed improvements from the pre-cycle stage. The learning accomplishment reached a percentage of 41.66% in pre-cycle. Then, the results improved into 66.66% in cycle I and increased into 87.5% in cycle II. The improvements indicated the implementation of Bamboo Dancing could improve the conceptual understandings of the learners.
A Systematic Literature Review (SLR): Implementasi Audiobook pada Pembelajaran di Sekolah Dasar

Audiobooks are a form of technological development that allows students and teachers to access information more easily and flexibly. This study uses the Systematic Literature Review (SLR) method by analyzing relevant previous studies and providing a clear and comprehensive description of the use of audiobooks in the context of learning in schools. This research can provide practical recommendations for teachers and schools in implementing audiobooks as part of their learning strategies, as well as other researchers who are interested in researching audiobooks in learning. The results of this study indicate that the use of audiobooks in school learning has been extensively researched and implemented in various contexts and subjects in various countries. Of the 100 articles identified, 72% were written in English, and this research shows that the use of audiobooks in learning is mostly implemented in language subjects. In addition, the type of research that is most often used is qualitative, while the subjects that are most often the focus of research are students, especially to develop listening and reading competencies. Indonesia was also identified as the country that most often conducts research on the implementation of audiobooks in classroom learning.
Pengembangan Instrumen Penılaıan Karakter Rasa Ingın Tahu Dalam Pembelajaran Membaca Dan Menulıs Sıswa Kelas 1 SD

Currently, the assessment of curiosity character education is mostly done by observation. The lack of innovation in developing curiosity character assessment instruments for elementary school students is the background of this research. The purpose of this study was to develop an instrument for assessing the character of curiosity in teaching reading and writing to elementary school students. This study uses the ADDIE Research and Development method. This study involved 15 teachers for needs analysis, three lecturers and four teachers for surface and content validation, and 17 grade 1 elementary school students for testing the curiosity character assessment instrument. The research instruments used in this study were tests and non-tests, using closed and open questionnaires. Data analysis techniques in this study were carried out quantitatively and qualitatively. The results showed that the curiosity character assessment instrument was developed by following the steps of the ADDIE development procedure which had been tested for quality with "very good results, with no recommendations for revision" and a "high" level of effectiveness. This means the curiosity character assessment instrument is feasible and effective in learning to read and write.
Comparing Logistic Regression and Support Vector Machine in Breast Cancer Problem

There are several methods used for the classification problems. There are many different kinds of fields that can be used. Nowadays, Support Vector Machine (SVM) is a popular classification method that has been proposed by many researchers. Using the same method but different distribution methods for creating training and testing data in the same dataset can yield varying results in terms of prediction accuracy, which is crucial in classification. In this paper, we compare the prediction accuracy between SVM results and Logistic Regression results to determine the better method to classify the current condition of the patient after undergoing some treatment. Several treatments are used in this paper, including feature selection, feature extraction, separating the train and testing data using Holdout and K-Fold CV. Stepwise selection is done to reduce the features. Training and testing dataset is obtained using the five stratified and non-stratified holdout and five fold stratified and non-stratified cross validation. The result shows that the best method to classify the cancer dataset is five fold stratified cross validation SVM with radial kernel. The obtained accuracy is 81,816% with variance as much as 0,94%.
PENERAPAN ANALISIS KLASTER HIERARKI UNTUK PENGELOMPOKAN KABUPATEN/ KOTA DI PROVINSI MALUKU BERDASARKAN STATUS PENDIDIKAN

One of the main goals of education is to develop potential and to educate individuals. Education is an effort to help the souls of students both physically and mentally towards a better human civilization. This research was conducted to group districts/cities in Maluku province based on educational status using hierarchical cluster analysis with the single linkage, average linkage and ward's methods. The results showed that clustering using the single linkage and average linkage methods was almost the same, while clustering using the ward's method had quite different results. Clustering using the single linkage and average linkage methods shows that Ambon city is the only city that always has its own cluster and does not join other districts/cities. This shows that the city of Ambon has an education status that is quite different from other districts/cities in Maluku Province. Regencies/cities that are always in the same cluster, namely cluster 1, both in the single linkage method, average linkage and the ward's method are Tanimbar Islands Regency, Southeast Maluku Regency, Central Maluku Regency and Tual City