Reviewerly/exHarmony huggingface dataset:
Photoelectric factor prediction using automated learning and uncertainty quantification

The photoelectric factor (PEF) is an important well-logging tool to distinguish between different types of reservoir rocks because PEF measurement is sensitive to elements with high atomic numbers. Furthermore, the ratio of rock minerals could be determined by combining PEF log with other well logs. However, PEF logs could be missing in some cases such as in old well logs and wells drilled with barite-based mud. Therefore, developing models for estimating missing PEF logs is essential in those circumstances. In this work, we developed various machine learning models to predict PEF values using the following well logs as inputs: bulk density (RHOB), neutron porosity (NPHI), gamma ray (GR), compressional and shear velocity. The predictions of PEF values using adaptive-network-fuzzy inference system (ANFIS) and artificial neural network (ANN) models have errors of about 16% and 14% average absolute percentage error (AAPE) in the testing dataset, respectively. Thus, a different approach was proposed that is based on the concept of automated machine learning. It works by automatically searching for the optimal model type and optimizes its hyperparameters for the dataset under investigation. This approach selected a Gaussian process regression (GPR) model for the accurate estimation of PEF values. The developed GPR model decreases the AAPE of the predicted PEF values in the testing dataset to about 10% AAPE. This error could be further decreased to about 2% by modeling the potential noise in the measurements using the GPR model.
Describing Public Speaking Class Through Questioning Strategy at English Department UNTAG Banyuwangi

Public speaking becomes very influential aspect to everyone carrier such the aim to be an educator, a motivator, an entertainer and etc. Nevertheless, to become public speaker, there are some steps to be passed. One of them that he/she must has self-confidence to stand before audiences and not being nervous. This research is to retell students’ struggle while learning public speaking with their challenge that faced in every meeting. Researcher utilized qualitative narrative inquiry as the research methodology. This method constitutes as one that to tell everyone experience in life included in learning public speaking. Then, to collect data, researcher tended to use interview. It means the result of the research from the interview which made by researcher related to the class such the impression, preparation, something that makes students nervous as well as the hope after following the class. The result showed that students really enjoyed the class and really involved in the class. It is because they are really like the class and the strategy in carrying the class match to the materials. In conclusion, students are able to perform as public speaker before others confidently although some other performers said that felling nervous at first but it can be overcome by learning by understanding the topic and practice repeatedly.
Using The Roll Play Method to Improve Student's English Speaking Skills

This study conducted to develop students’ speaking skills.In this study, the researcher used a classroom action research (CAR) method using a Kurt Lewin design which consisted of planning, acting, observing, and reflecting. it used two cycles where each cycle consists of two meetings. The application of role play in the classroom was very popular with students, this was based on the results of the questionnaire85,99% into very strong categories. In addition, students also experienced a significant increase from before the application of role play, this was proven by the results of the students' scores during classroom action research, namely pre-test 61.58, post-test 1 73.32, post-test 2 79.22. These results indicate that the role-play method can be used as a medium of learning to improve student's English skills.
The Correlation Between Students’ Vocabulary Mastery and Students’ Reading Comprehension in Narrative Text

This study was approached for finding out whether there was a significant correlation between students’ vocabulary mastery and students’ reading comprehension in narrative text or not. The researcher used quantitative research and correlation method, and there were two research variables, vocabulary mastery as variable X and reading comprehension as variable Y. The sample of this research was purposive sampling and 23 students taken. In collecting the data of this research, the researcher used multiple choice test consisted 20 item questions to measure students’ vocabulary mastery and their reading comprehension. The data was analyzed by using the formula of Product Moment (Pearson) through SPSS 16.0. The result of Product Moment (Pearson) was categorized strong with the coefficient correlation was 0.680 and the significance was 0.05, it meant that H0 was rejected and Ha was accepted. The result showed that there was a significant correlation between students’ vocabulary mastery and students’ reading comprehension in narrative text at the eighth grade of MTsS Lombok Kulon Wonosari Bondowoso in the academic year 2021/2022
Efektivitas Permainan Teka-Teki Silang Terhadap Pengenalan Kosakata Bahasa Inggris Anak Usia 5-6 Tahun Di Taman Kanak-Kanak Uswatun Hasanah Kota Padang

The motivation for this study stems from the fact that the teacher only introduces English vocabulary through picture guessing games, which in reality only teach basic vocabulary definitions. The purpose of this study was to determine how successful crossword puzzle games are at teaching English vocabulary to children between the ages of 5 and 6 at Uswatun Hasanah Kindergarten in Padang City. This kind of study uses a one-group pretest-posttest design model and is quantitative with a quasi-experimental design. According to the study's findings, crossword puzzles helped children at Uswatun Hasanah Kindergarten in Padang City, Indonesia, aged 5 to 6, recognize English words
Usability Testing and User Interface Improvement of Mobile Banking Application: Livin’ by Mandiri

Livin' by Mandiri is a mobile banking application that is integrated with Bank Mandiri banking services and its digital ecosystem. However, some users reported negative responses regarding usability aspects. This study aimed to determine the usability problems faced by users, measure the level of usability, and recommend the user interface design for usability improvement. The evaluation was carried out using the Usability Testing method which collected quantitative and qualitative data. Quantitative data was collected by measuring usability metrics data gathered while participants worked on task scenarios and filled out questionnaire. Meanwhile, qualitative data is collected through interviews with participants to gain insight from users on usability issues. The evaluation of the existed application show that the value of the learnability aspect was 68%, the efficiency was 0.013189 goals/sec, the error was 33.28% and the satisfaction aspect score was 73.5 (good). Participants said that the difficulties they faced most were features or menus that were difficult to find or unknown. Next, recommendations were construct to solve the problem by implementing usability guidelines. The user interface design recommendations were manifested in a high-fidelity prototype. The prototype was also evaluated with the usability testing method. The prototype evaluation showed an improvement of usability. The learnability aspect increased to 93%, the efficiency aspect increased to 0.026295 goals/sec, the error decreased to 2.34%, and the satisfaction aspect score was 84.4 (excellent).
Using A Deep Learning-based Visual Computational Model to Identify Cognitive Strategies in Matrix Reasoning

Two cognitive strategies (i.e., constructive matching and response elimination strategies) have been found in responding to items in Raven's Advanced Progressive Matrices (APM), a valid measurement instrument of general intelligence. Identifying strategies is necessary for conducting studies on the relationship between cognitive strategy and other cognitive factors and for cognitive strategy training. This study trained a convolutional neural network-based visual computational model (CVC) for cognitive strategy identification based on eye movement images. Focusing on the APM, the trained CVC can be used for strategy identification by learning and mining the pattern information in the eye movement images with predefined training labels from a psychometric model. An empirical study was conducted to illustrate the training and application of the CVC. Based on the trained CVC, the study's main finding is that (a) the strategy identification results of the CVC and the psychometric model have a high agreement, and (b) the agreement of the former with the identification results of experts was higher than that of the latter with the identification results of experts. Overall, the proposed deep learning-based model follows the data-driven perspective and provides a new way of studying cognitive strategy in the APM by presenting objective and quantitative identification results.
Compactly Supported Frame Wavelets and Their Applications in Convolutional Neural Networks

The emergence of compactly supported frame wavelets has brought about a revolutionary shift in the realm of signal processing and image analysis. These mathematical structures possess the remarkable ability to perform localized analysis within finite intervals, rendering them indispensable tools for unravelling intricate details within complex signals and images. Their utility spans a wide array of applications, including denoising, compression, and feature extraction. Unlike conventional wavelets with unbounded support, compactly supported frame wavelets offer an efficient approach to capturing localized information, a pivotal factor in comprehending intricate visual content. This paper delves into the theory, properties, and advantages inherent in compactly supported frame wavelets, shedding light on their versatility across diverse signal types and their capacity for perfect reconstruction. By seamlessly integrating these wavelets with Convolutional Neural Networks (CNNs), an innovative dimension is introduced to image analysis, capitalizing on the strengths of both methodologies. The symbiotic relationship between compactly supported frame wavelets and CNNs amplifies the network's prowess in image analysis through the fusion of spatial and frequency-based analyses. A spectrum of applications stemming from this fusion, including image classification, object detection, and image denoising, are comprehensively explored, showcasing tangible enhancements in accuracy and interpretability. Ultimately, the harmonious amalgamation of these mathematical constructs with deep learning techniques holds the potential to reshape the landscape of image analysis and signal processing. This, in turn, promises to untangle complex visual content, ushering in an era of enriched image comprehension.
Structural Changes of the Floats in Kakunodate-Matsuri: Ingenuity for Winning the Festival Bumping Game

Abstract The Kakunodate-Matsuri, held in Akita, Japan, is one of the most game-like festivals in which the festival floats are repeatedly 'bumped' against each other in order to win the right of the way. We hypothesised that the accumulation of serious ingenuity by each community that has preserved and operated the floats to win in the 'bumping' might be reflected in the structural form of the floats themselves. To test this hypothesis, we constructed structural models of two floats, one new and one old and carried out collision simulations. As a result, it was confirmed that the floats, which tended to concentrate the impact force at the front of the structure during a collision, were modified to distribute the impact over the entire structure, preventing axle damage due to stress concentration and at the same time reducing the impact on the musicians on board in the middle of the float.
Bagaimana Mengatasi Masalah Server-Lag pada Website Kampus Ketika Penyusunan KRS

The purpose of this research is to analyze server-LAG problems on campus websites when preparing KRS. This type of research is qualitative research using experimental methods. Data collection techniques in this study used literature and interview methods. The literature method is a method used to obtain data and supporting theories in making web servers. Based on the results of the tests and analysis carried out, it can be concluded that the steps taken to overcome server lag on the campus website have been successful. Implementation of database optimization, caching and load balancing significantly improves server performance and reduces lag. This success in addressing the server lag issue helped create a better user experience during the KRS build period.
Role Play Methods Strategies to Improve Students' Speaking Ability

This study aimed to determine the implementation of role play to improve students’ speaking skill in the grade VIII MTs Al-Ittihad Ketupat Ra’as Sumenep. This research used Classroom Action Research (CAR) which consisted of two cycles, each cycle included planning, implementing, observing, and reflecting. The cycle was stopped when the indicators of success had achieved the completeness of learning set by the school. Completeness of learning for grade VIII subjects is 75%. The results showed students’ increase in the grade VIII MTs Al-Ittihad Ketupat Ra’as Sumenep learning outcomes in each cycle. The increase in learning outcomes was shown in the pre-test results with the percentage of completeness of learning 4,55% and there was an increase in the results of the post-test cycle 1 to 31,82%, and an increase again in the results of the post test cycle 2 to 81,82%. The increase in learning outcomes from the results of the pre-test, post-test cycle I to post-test cycle II was due to improvements in the application of role play after evaluating the learning process activities and learning outcomes. From the results of observations in the learning process of students’ speaking skill in the grade VIII MTs Al-Ittihad Ketupat Ra’as Sumenep, the students showed a good response. It could be concluded that learning using role play strategy in the grade VIII MTs Al-Ittihad Ketupat Ra’as Sumenep could improve the student’s speaking skill.
VIRTUAL REFERENCE SERVICES: ‘ASK LIBRARIAN’ QUESTION AND ANSWER (Q&amp;A) SERVICES WITH REAL-TIME SYSTEM

A virtual reference service is a service where librarians and users can communicate with each other in real time over the Internet. This study aims to analyze the virtual reference service 'Ask a Librarian' as a service with a real-time system, which is one of the library strategies for providing reference services to users without limited space and time. This study uses a qualitative approach. This article is based on literature studies that support the subject. The study result shows that the virtual reference service 'Ask a Librarian' makes it easy for reference librarians to provide information on user questions remotely, the quality of the information on this feature is very credible and quality because user questions about any library information are answered directly by the local reference librarian. With the real-time system used in this service, the completion time of activity, responsiveness, or latency is an important aspect of system quality. The presence of these services is expected to provide reference services to users without space constraints in a short time.
The Influence of Profile, Connection, and Interaction Factors in the Success of Getting a Job Using Linkedin Social Media

A Human Resources Management (HR) survey shows that 95% of 541 HR professionals use LinkedIn to recruit passive candidates. Thus, LinkedIn users are increasingly professionalizing their profiles. However, data found that as many as 87% of people on LinkedIn use fake identities. It aims to add a connection with other companies in a way that looks professional. This study aims to determine the effect of the LinkedIn profile on individual success in getting a job because it is based on the high number of fake accounts. This study used a quantitative method, data collection was carried out in the form of a questionnaire and distributed over 20 days to 100 people. This study used a Likert scale. There are 5 Likert scale categories for answer choices: strongly disagree, disagree, neutral, agree, and strongly agree. This research model consists of 6 hypotheses, namely: The effect of profile on connection; The effect of interaction on connection; Profile influence on LinkedIn usage; the effect of interaction on LinkedIn usage; the effect of connection on LinkedIn usage; The influence of using LinkedIn on success in getting a job. The hypothesis is accepted if the T Statistics value is &gt; 1.96. Based on calculations with the 6 hypotheses, the results are all correct except for the effect of connection on LinkedIn, for an assessment &lt;1.96 with a total of 1,078. Then it was found that the most positive effect was in the effect of using LinkedIn on success in getting a job with a statistic of 10,159.
Mathematics Online Baseline Assessment: Senior Phase First-year Student Teachers’ Views

Problem-solving and enquiry-based learning are integral in the Mathematics and Science curriculum in South Africa through online-based assessment. Online assessment has rapidly gained recognition because of technology. In this paper, the authors explored the views of online baseline assessment among Senior Phase First-year Mathematics Student Teachers. The researchers adopted a qualitative research method. Data was collected from the participants using an online Google form developed into a questionnaire. The participants in this study were first-year students enrolled for the Bachelor of Education in Mathematics at a university in a rural province of South Africa. The first-year student teachers were exposed to the senior phase baseline assessments through the licensed online Computer Aided Mathematics Instruction (CAMI) tool. One hundred and sixteen (116) senior-phase student teachers completed the online questionnaire. This study used convenience sampling since it was the most appropriate method to conveniently invite the participant. The findings revealed that first-year student teachers were enthusiastic and motivated to write the baseline assessment on computers for the first time. The result also showed that several first-year student teachers experienced difficulties solving mathematics problems using computers. This study recommends more intensive research on student teachers' views on online assessment regarding gender and time.
Technology Enhanced Learning: Applying Padlet, VoiceThread and Microsoft Teams in online university courses

The use of technology in language teaching and learning has been rising in popularity with rapid developments in technology as well as increased need due to the recent coronavirus pandemic. Moreover, the sheer number of technologies available and the choices with how to implement them can be quite daunting for educators.&#x0D; In this article, three technologies implemented in Master of TESOL university online courses are presented and explored with regards to their enhancement of learning: Padlet, VoiceThread (video recordings) and Microsoft Teams (chat forum). Firstly, the applications of these technologies were mapped to the TPACK framework (Mishra &amp; Koehler, 2006) along with educator observations on their implementation. Secondly, data from surveys and interviews provided students’ perspectives on the use of technology and the benefits and challenges they experienced. Thematic analysis of this data revealed six themes: Engagement and interactivity, Peer learning, Flexibility, Record of work, Usability, and Challenges.&#x0D; The findings of the study demonstrate how technologies can enhance learning through increased motivation and participation, shared learning and self-directed learning. The goal of this article is to inform TESOL educators on the potential of these technologies and inspire them to explore options for integrating technologies in their own classrooms and contexts.
THE ROLE OF USING REAL OBJECT MEDIA IN EXPLAINING ELECTRICAL CIRCUITS TO PHYSICS STUDENTS OF JABAL GHAFUR UNIVERSITY

One of the media that can be used in learning physics in the Physics Study Program is the tools available in the laboratory. This research was carried out at the Physics Study Program at Jabal Ghafur University entitled ““The Role of Using Real Material Media in Explaining Electrical Circuits to Physics Students at Jabal Ghafur University. The use of media in the physics learning process is a demand in the curriculum. Media in the learning process can be used in the form of original objects or in the form of pictures. Formulation of the problem: "Is there a role for the use of real-life media in explaining electrical circuits to Physics Students in Even Semester Academic Year 2022/2023?" : "There is a role for the use of real-life media on student achievement in electrical circuits in the Physics Study Program." The population in this study were all Physics Study Program students. While the samples in this study were taken by random sampling (drawn or random) each 30 people, the number of both classes = 60 people. The method for collecting data is the "experimentation method". The research instrument is: is the "Test", Data processing method: use "Z-score". Conclusion, "There is a role for the use of real-life media on student learning achievement in electrical circuit material for the 2022/2023 Academic Year Semester"
Features of the digitalization of the educational and methodological cluster of the scientific and pedagogical expert

The purpose of the study is to highlight the specifics of the implementation of the principles of digitization of the educational and methodological work in a scientific and pedagogical worker. In the modern educational environment, the digital arsenal is effectively used by scientific and pedagogical specialists in their professional activities. Therefore, an urgent question arose regarding the arrangement of the educational and methodological cluster under the requirements of educational strategies. The research methodology uses general scientific methods of scientific and pedagogical discourse, among which we note: analysis, systematization, modeling, and forecasting. Also, scientific and philosophical methodological synergistic principles are used in the scientific article, which allows us to correlate of the use of digital resources with traditional elements of the educational and methodological segment. Elements of the novelty of scientific intelligence are the need to agree on the principles of digitization among all key clusters of higher education. Digitization should be considered a complex mechanism of the work of a teacher at a higher education institution since the innovative paradigm of modern education extends to all segments - educational and methodological, research and organizational. Synergistic interaction allows us to bring to a common denominator the features of digitization of the educational-methodological cluster with all other components of the work of a higher school teacher. This approach ensures an increase in a scientific and pedagogical worker's general level of professional competencies. Conclusion. Therefore, in the modern educational and methodological paradigm, the principles of digitalization are actively implemented, which, in combination with traditional resources, form an effective format for implementing the professional competencies of a scientific and pedagogical specialist