Reviewerly/exHarmony huggingface dataset:
Towards Local Community Involvement in Students’ Science Learning: Perspectives of Students and Teachers

The European Commission calls for schools to move towards becoming open to their communities, integrating external social, civil, and expert stakeholders into authentic learning experiences’ development alongside teachers and students, particularly in terms of science education. However, little research or practical implementation has been reported on how community actors could participate in the development of such curricular learning activities. In this study, we present an implementation of the open science schooling (OSS) approach to science learning, where community involvement in the development of science missions takes a vital role. During the study, students developed science missions related to local societal issues that interested them in collaboration with their teachers and community experts, with frequent hands-on investigations outside their classrooms or laboratories, in five European countries and Israel. Questionnaires with quantitative and qualitative questions concerning students’ and teachers’ views and perspectives about implementing science education using OSS were administered after the participants finished their science missions. The results indicate the effectiveness of the OSS approach to science learning involving the community from both students’ and teachers’ perspectives. This study is a step towards supporting schools in becoming active agents of change through the implementation of contextualized learning experiences alongside external stakeholders.
SISTEM INFORMASI DINAS KELAUTAN DAN PERIKANAN PROVINSI NUSA TENGGARA TIMUR BERBASIS WEBSITE

The marine and fisheries service of the province of East Nusa Tenggara is one of many institutions or agencies whose functions, duties, and positions are regulated or controlled by law. The marine and fisheries service is the driving factor or organizer in the marine and fisheries segment led by the head of the service who is responsible for the governor through the regional secretary. The marine and fisheries service implements the use of technology such as computers and other electronic devices to facilitate the continuation of work activities and it is necessary to present relevant information to the Marine and Fisheries Service of the East Nusa Tenggara province so that it is known and known by the people of East Nusa Tenggara. From the above basis, the problem is how to build a website as a medium of information at the Department of Marine Affairs and Fisheries of East Nusa Tenggara Province. There is a method used, namely the Waterfall method, the waterfall method is one type of application development model and is included in the classic life cycle, which emphasizes sequential and systematic phases. For the development model, it can be analogous to a waterfall, where each stage is carried out sequentially from top to bottom. The expected result of this research is that the website built by the author for the Department of Marine Affairs and Fisheries of East Nusa Tenggara Province can be successful so that it can provide benefits to the Department of Marine Affairs and Fisheries of East Nusa Tenggara Province in providing information to the public related to everything related to the Department of Marine Affairs. and Fisheries in the Province of East Nusa Tenggara and can also facilitate the people of East Nusa Tenggara in accessing information about the Department of Marine Affairs and Fisheries of the Province of East Nusa Tenggara
PENGELOMPOKAN PENYAKIT HIPERTENSI DI KOTA KUPANG MENGGUNAKAN METODE K-MEANS

Hypertension is an event that causes a lot of data that has not been processed properly. According to the Central Bureau of Statistics of Kupang City, hypertension is in the top 10 with the highest number of sufferers in Kupang City. Through the official website, namely kupangkota.bps.go.id hypertension is in third place the number of diseases suffered by the community in 2018 with 28,701 cases and an increase of 6,935 in 2019 and of course it will increase in the following year. In this study clustering hypertension using the Data Mining method, namely k-Means clustering, the k-Means method can produce more accurate data in data grouping. The purpose of this study is to process and classify hypertension data so that it can help the government, especially the local Health Office, in classifying which areas have a large impact as swearing hypertension.
Convolutional Neural Network (CNN) Method for Classification of Images by Age

Image classification is one of the studies that is currently being developed. The details of the characteristics that must be captured make researchers compete to find the most suitable method for classifying. The Convolutional Neural Network (CNN) algorithm is one of the most superior algorithms in the field of object classification and identification today. With the help of several packages contained in Google Colab for classification, this algorithm is easier to use. In this study, the target case is the age of a person who will be classified using photos or images taken from the internet which are then stored in the form of Google Drive. The research data used is divided into 2 parts, namely for training data as many as 23.440 images, and 10,046 for testing data. Then to facilitate the extraction of features from the features to be identified, the researchers carried out the preprocessing stage, namely grayscale images, and data augmentation. The purpose of this study is to implement the concept of Deep Learning with Convolutional Neural Networks (CNN) in image classification and to determine the level of accuracy of the CNN model in classifying images. After the algorithm is run and the model has been formed, an accuracy of 78.5% is obtained. It can be concluded that the Convolutional Neural Network (CNN) method is good at classifying images
Students’ Perception Toward the Efl Lecturer’s Code-Switching in PGSD’S English Classroom

Primary school is the foundation of formal schooling which can affect the aftermath. This study analyses the perception of Primary school teacher education or PGSD student toward the code-switching made by EFL lecturers in English classrooms and the benefits for them in learning English. This study using a mixed-method, the eligible participant received questionnaire and semi-structured interview protocols were carried out in the Indonesian language. The data from the questionnaire was analyzed by Likert scale and the semi-structured interview was analyzed by thematic analysis. The findings showed that first, students have a positive perception toward the code-switching done by the lecturer in English classroom; second, benefits that the students get from code-switching in English classroom are increase the level of English vocabulary capacity mastery, help in understanding lessons, learn the English language better, help understanding course assignments, improves English speaking skill, improves English listening skill. As the conclusion, the code-switching used for teaching English in the classroom had given great impact on PGSD students which is most of the students showed a positive perception toward the used of Code-switching.
Hue-Preserving Color Transforms for LED Wall Virtual Production Workflows

Virtual production using light-emitting diode (LED) wall display technology is gaining popularity in the entertainment industry to produce motion pictures, episodic television, live broadcast, and esports content. This new paradigm typically uses one or more large LED displays that contain millions of individual LEDs that are used to display a virtual background and/or foreground objects from a virtual scene that is simultaneously captured by the digital photographic camera on set, resulting in the so-called “in-camera visual effects.” In a virtual production workflow, digital cameras capture the actors and objects on the set in the foreground while simultaneously capturing the image shown on the LED wall behind the actors. Realtime video game rendering engines update the image shown on the LED wall to compensate for changes in camera location, camera pose, and lens focal length. Modern digital camera workflows typically include color transforms that were not designed to accurately render the large areas of saturated colors that are possible when capturing the image shown on an LED wall. Some examples of a hue shift that can occur in typical workflows are blue to cyan, red to pink, red to orange, and green to yellow. We found that these hue shifts can occur dynamically while racking focus to and from the LED wall and also statically when the LED wall is kept out of focus, which is a common technique that is used to minimize moiré artifacts. This article explores a simple modification of these common color transforms to preserve the hue of the scene while also creating a similar look to the existing color transforms.
An Improved Snake Optimization Algorithm with Opposition-Based Population Initialization

Snake Optimization (SO) is a newly developed swarm-intelligence-based optimization algorithm inspired by the behavior of snakes seeking better food sources, which potentially applies to multi-vehicle task assignments and trajectory optimization. The paper comes up with an improved SO that integrated with Opposition-based Learning (OBL) which helps to filter the snake population, reserving only the individuals closer to food. In contrast, the original SO with randomly generated population performs extra iteration steps for unfit snakes to survive, and spends more computational time. Simulations are conducted to illustrate a comparison between the proposed algorithm and the conventional one, where the former exhibits faster convergence to the optimal solutions and guarantees higher accuracy without population expansion, and these features gives rise to its applications in real-time embedded computing systems for automated vehicles.
Data Quality– and Utility-Compliant Anonymization of Common Data Model–Harmonized Electronic Health Record Data: Protocol for a Scoping Review (Preprint)

<sec> <title>BACKGROUND</title> The anonymization of Common Data Model (CDM)–converted EHR data is essential to ensure the data privacy in the use of harmonized health care data. However, applying data anonymization techniques can significantly affect many properties of the resulting data sets and thus biases research results. Few studies have reviewed these applications with a reflection of approaches to manage data utility and quality concerns in the context of CDM-formatted health care data. </sec> <sec> <title>OBJECTIVE</title> Our intended scoping review aims to identify and describe (1) how formal anonymization methods are carried out with CDM-converted health care data, (2) how data quality and utility concerns are considered, and (3) how the various CDMs differ in terms of their suitability for recording anonymized data. </sec> <sec> <title>METHODS</title> The planned scoping review is based on the framework of Arksey and O'Malley. By using this, only articles published in English will be included. The retrieval of literature items should be based on a literature search string combining keywords related to data anonymization, CDM standards, and data quality assessment. The proposed literature search query should be validated by a librarian, accompanied by manual searches to include further informal sources. Eligible articles will first undergo a deduplication step, followed by the screening of titles. Second, a full-text reading will allow the 2 reviewers involved to reach the final decision about article selection, while a domain expert will support the resolution of citation selection conflicts. Additionally, key information will be extracted, categorized, summarized, and analyzed by using a proposed template into an iterative process. Tabular and graphical analyses should be addressed in alignment with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist. We also performed some tentative searches on Web of Science for estimating the feasibility of reaching eligible articles. </sec> <sec> <title>RESULTS</title> Tentative searches on Web of Science resulted in 507 nonduplicated matches, suggesting the availability of (potential) relevant articles. Further analysis and selection steps will allow us to derive a final literature set. Furthermore, the completion of this scoping review study is expected by the end of the fourth quarter of 2023. </sec> <sec> <title>CONCLUSIONS</title> Outlining the approaches of applying formal anonymization methods on CDM-formatted health care data while taking into account data quality and utility concerns should provide useful insights to understand the existing approaches and future research direction based on identified gaps. This protocol describes a schedule to perform a scoping review, which should support the conduction of follow-up investigations. </sec> <sec> <title>INTERNATIONAL REGISTERED REPORT</title> PRR1-10.2196/46471 </sec>
Divergence of Everyday Practices and School Policy on Mobile Use: Challenges to Developing EFL Learners’ Digital Literacies

Literature has suggested that digital literacies can enhance language learning through appropriate use of mobile technology since today’s young learners are immersed in mobile technology. However, to support English language learning through digital literacies in specific contexts, a learning environment with mobile technology should be examined. This paper aimed to report on mobile use for English language learning through digital literacies in Thai school contexts. Empirical evidence was reported from the mixed method research project with 400 Thai EFL learners and a group of teachers and administrators. Results from the quantitative and qualitative analysis showed the divergence of mobile phone use between EFL young learners’ everyday life and pedagogical practices and policy at school, affirming that mobile phone use for developing digital literacies at school was not favored for EFL learning on the basis of Web 2.0 components in the research context. This paper argues that a call for the development of digital literacies among Thai EFL learners needs to promote social practices of such literacies. Implications are discussed for future pedagogical practices and policy to promote digital literacies with mobile device use for EFL learning.
A dynamic epistemic logic analysis of the equality negation task

In this paper we study the solvability of the equality negation task in a simple wait-free model where processes communicate by reading and writing shared variables or exchanging messages. In this task, two processes start with a private input value in the set {0,1,2}, and after communicating, each one must decide a binary output value, so that the outputs of the processes are the same if and only if the input values of the processes are different. This task is already known to be unsolvable; our goal here is to prove this result using the dynamic epistemic logic (DEL) approach introduced by Goubault, Ledent and Rajsbaum in GandALF 2018. We show that in fact, there is no epistemic logic formula that explains why the task is unsolvable. We fix this issue by extending the language of our DEL framework, which allows us to construct such a formula, and discuss its utility.
Online Psycho-educational Intervention in Mathematical Learning Difficulties

The present study shows the results of six case studies referring to an intervention applied to mathematical learning difficulties. Participants were 8 to 12 years old. The intervention considered mathematics as a language and it is theoretically based on Bronfenbrenner's bioecological model, Vygotsky's sociocultural theory and Peircean semiotics. The objective was to work on the development of academic skills associating mathematics with interactional social skills. The analysis was based on qualitative data collected during the intervention process and quantitative data from scales and instruments with pre- and post-intervention measures. However, due to the COVID-19 pandemic context, some methodological issues were affected, mainly because the evaluations took place before and in the midst of the pandemic. Social impacts of the pandemic have unevenly affected participants, especially adolescents and children. The pandemic had a worse effect on adolescents than on children, especially regarding procedures that involve memory, and those with attentional problems also had worse results.
Risk-Return Analysis of Select Crypto Currencies: During 2018-2022

An investor who acquires intangible digital assets through "cryptocurrencies" should consider that they may or may not make a get returns. Sometimes there is a possibility of a loss of the entire real asset of the investor. Every investor faced the unexpected market conditions during the period i.e. 2020-21. Hence, this paper made an attempt to focus risk and return on investments in select crypto currencies during the period i.e. 2018-19 and 2021-22. This paper focus on whether Cryptocurrency is an intangible digital asset or a way of vanishing fiat currency?
Permodelan E-Posyandu Untuk Perkembangan Balita Menggunakan Extreme Programming

The goal is to produce an E-posyandu system application that can provide convenience in recording posyandu data and ease for the public to access information related to growth and development data for toddlers and babies. Problems in the process carried out at posyandu such as the process of processing and recording using written media have an impact on the recap process repeatedly, writing errors and presentation of reports that seem slow. The problem with the services provided in the form of toddler growth and development information is not yet fully available that can be seen by members or the public starting from target level information, Cards Towards Health, Weighed and Climbed still using the blackboard, thus impacting the limited scope of information. System development is carried out with an extreme programming method with an object-oriented system built using a Mysql database and has a back end display using a website and a toddler parent section using a mobile application as the front end. With this system, the public can see detailed information and information graphs of toddler growth and development data and can see nutritional information and specialist doctors. Based on the results of functional suitability testing, 96.92% of the results were obtained so that it can be concluded that respondents assessed that the system built has been successful and based on usability testing obtained by 82.33% it can be concluded according to respondents, namely Strongly Agree that the development is appropriate.
The preference of Bitcoin and stocks in Indonesia

Bitcoin is an alternative and is currently in demand by investors. This condition triggers investors' preferences to invest in stocks or cryptocurrencies. This study examines the causality between Bitcoin and the market index in Indonesia in terms of determining the preferences of investors. On this objective, the sample is taken from 1 January 2022 to 31 October 2022. The findings of this study imply that investors' preferences tend to be caused by stock price movements. But, the result of estimation also finds that the preference of investors tends to be influenced by the movement of Bitcoin.
Modeling Inventory Systems Using The User Experience Design Model Method

Information systems are the process of collecting and processing transaction data and communicating data into information for decision-making. User Experience Design (UXD) is the process of developing a product to increase user satisfaction with a product by increasing usability, accessibility, and satisfaction provided in the interaction with a product or application. The main factor in the success of application developers depends on the user experience that users feel, therefore it is very important to make this a priority in developing designs. This method is able to make your design look neat, simple, intuitive, flexible, and attractive as well as provide a different experience to users of your product or service and make you look unique in front of other competitors. Modeling the inventory system uses a user centered design model with five stages, namely empethized, define problem statements, indentation, and prototype. The results of this study are in accordance with the needs of users in creating a web-based inventory information system that can overcome the problems faced by the school. The results of testing the inventory application using the blackbox testing model which has a value of 100% in accordance with testing the functionality of the system, and the test results using web quality 4.0 obtained a total score of 91.53%. Based on this, the Web Quality 4.0 test results have very good criteria.
Effects of government electronic service quality on citizen satisfaction with integrated service delivery in urban areas

In the effort to achieve good and effective public services to gain public satisfaction and trust, the use of public electronic services (e-services) is expected to improve service quality. Public e-services offer better options for processing digital data. With increasing internet access, the use of e-services as a vehicle for delivering various public services is a promising development in the public sector. By maintaining and improving service quality, especially in the public sector, the use of internet/online services or public e-services will make users feel more satisfied and increase public trust. This study aims to determine the effect of electronic service quality on citizen satisfaction with public e-services. A quantitative research methodology was adopted. Data was collected by distributing online questionnaires to users of public e-service applications, totaling 150 respondents in Bandung, Indonesia. The sampling technique used was a purposive, non-probability-based sampling method. The data analysis technique was Structural Equation Modeling (SEM) using Smart software. The test results show that information quality, data security, and data privacy have a significant effect on e-service quality, which, in turn, has implications for citizen satisfaction. Based on the results of this study, we advise public e-services institutions to maintain and improve the quality of e-services by improving information quality, data security, and data privacy to increase user trust in public e-services.
Research on Data Processing Security System Based on Bio commercial technology and Artificial Intelligence

Data security has become an increasingly important concern for organizations and individuals in the digital age. To address this issue, there has been growing interest in using bio-commercial technology and artificial intelligence (AI) to develop innovative security solutions. This paper presents a research study on the development of a data processing secure new entrants in the market for medical devices in Germany can use the use of biometric data, such as fingerprints, iris scans, and voice recognition, in combination with AI algorithms to enhance the security of data processing. The paper provides an overview of the technical framework and architecture of the proposed system, and evaluates its effectiveness in comparison to traditional security measures. The study uses a combination of quantitative and qualitative research methods, including surveys, interviews, and simulations, to collect and analyze data on the performance, accuracy, and usability of the proposed system. The results suggest that the data processing security system based on bio-commercial technology and AI is highly effective in preventing unauthorized access and enhancing data protection. The system provides a high level of accuracy, speed, and user-friendliness, making it a viable alternative to traditional security measures. The paper concludes with a discussion of the implications of the study for the field of data security and future research directions.