Reviewerly/exHarmony huggingface dataset:
DEVELOPMENT OF COMPUTER BASED PAI LEARNING MEDIA, MICROSOFT POWERT POINT AND INTERNET MEDIA

The urgency of learning media is to overcome the limitations of experience, to concretize abstract concepts, to overcome the limitations of space and time, to have direct interaction with the environment, to produce uniformity of observations, to instill true, concrete and realistic basic concepts, to arouse motivation and stimulate children to learn, to arouse the desires and interests of the teacher and provide an integral experience Classification of learning media, namely visual media, audio, audio visual, print, models, reality, computers in the learning process and multimedia. Computer-based learning media is the use of computers as a medium for conveying learning information, practice questions, feedback, and scores of students' answers. Computer-based learning media consists of: PowerPoint presentations, CD/DVD/ Interactive Learning Multimedia, learning videos and the internet. Computer-based learning supports curriculum implementation, helps efforts to increase interest in learning, and becomes a complement to learning resources. The presence of computer technology in learning only acts as a complement, addition (supplement) or tool for teachers.
Design and Development of Healthcare System Using Blockchain

Abstract This entire system stands upon blockchain technology. The system is initially broken down in sections like different modules for patient, doctor, pharmacy and insurance agent. It is completed utilising a personal blockchain from Corda and Ethereum called Ganache as well as a private blockchain. This supports the development, testing, and general deployment of dApps. An Ethereum development framework is called Truffle Suite. Completely control the lifetime of modern contracts that includes bespoke installations, linking with different libraries and intricate applications on Ethereum. In dApps, Meta Mask is usefull for account creation, login and bitcoin transcations. The storage of all huge files and documents is done using the IPFS technology. Because IPFS is a P2P network circuit for decentralised data storage and the produced hash is simple to store on the blockchain, it is used. ReactJS was used to build the system’s front end. The Remix online compiler for Solidity is used to build and test smart and modern contracts that are written in the Solidity blockchain programming language.
Research and experiment on global path planning for indoor AGV via improved ACO and fuzzy DWA

In order to obtain an optimal trajectory for indoor AGV, this paper combined an improved ACO and fuzzy DWA (IACO-DWA) algorithm, which can provide an optimal path with collision-free under higher optimization efficiency. The highlights of this paper are detailed as follows: Firstly, an improved adaptive pseudo-random transition strategy is adopted in the state transition probability with an angle factor. A reward and punishment mechanism is introduced in the pheromone updating strategy, then a path optimization strategy called IACO is proposed for the more optimized path. Secondly, IDWA adopted three fuzzy controllers of direction, security and adjustment coefficients through evaluating directional and safety principles, then improving the angular velocity by processing the linear velocity with linear normalization. By adapting to the changes of the environment, the IDWA parameters can be dynamically adjusted to ensure the optimal running speed and reasonable path of AGV. Thirdly, aiming to deal with the path-planning problem in complex environments, we combined IACO with IDWA, the hybrid algorithm involves dividing the globally optimal path obtained from IACO planning into multiple virtual sub-target points. IDWA completes the path planning by switching between these local target points, thereby improving the efficiency of the path planning. Finally, simulations is verified by Matlab and experiment results on the QBot2e platform are given to verify IACO-DWA algorithm's effectiveness and high performance.
EFEKTIVITAS PENGGUNAAN MEDIA BUKU CERITA BERGAMBAR DALAM MENINGKATKAN HASIL BELAJAR IPS PADA SISWA KELAS 3 DI MI AN-NIDHOM KEBONREJO GENTENG

The aim of this study; 1) knowing the use of pictorial storybook media in improving social studies learning outcomes for 3rd grade students in MI An- Nidhom Kebonrejo Genteng, Banyuwangi Regency, 2) Analyzing the effectiveness of using picture books in improving social studies learning outcomes for 3rd grade students in MI An-Nidhom Kebonrejo Genteng, Banyuwangi Regency. This type of research is a quantitative descriptive Quasi Experiment model with the One-Shot Case study research approach. Validation of this research with Kolmogorov Smirnov's validity and reliability testing technique. Whereas in the data analysis used using statistical hypothesis with analysis Chi Square and the partial hypothesis test (t test), the calculation uses SPSS 16 For Windows 7. The results showed that 1) The development of illustrated storybooks used in social studies theme of enthusiasm for work was seen from the cover of storybooks, storybook contents and anatomy of storybooks said to be feasible, with the results of the questionnaire obtained a low score of 4 students (9.30%) 34 students (79.07%) and got a high score of 5 students (11.63%). 2) Effectiveness of the use of illustrated storybook media on social studies learning outcomes in grade 3 obtained tcount of 5.891 with a significance value of 0.420 greater than 0.102 (0.420&gt; 0.102), and the regression coefficient has a positive value of 0.309; then the hypothesis which states that "effective illustrated storybooks in improving the results of social studies learning for 3rd grade students in MI An-Nidhom Kebonrejo, Genteng District, Banyuwangi Regency" is accepted.
Synthesizing Device Drivers with Ghost Writer

Device drivers are components that enable operating systems to interact with devices. Unfortunately, they are the main source of bugs in operating systems, because writing a driver is an intricate and error-prone process that requires extensive knowledge of devices and operating systems. Furthermore, supporting new devices and accommodating kernel revisions require significant development effort. To facilitate the development of device drivers, we present Ghost Writer, an end-to-end toolchain that allows developers to synthesize correct-by-construction device drivers from high-level specifications. Ghost Writer supports control and data plane operations (e.g., handling DMA transactions). It makes synthesis tractable by 1) modeling the device interface as a set of virtual registers that abstract the hardware details and 2) leveraging behavior trees to model operations on virtual registers and synthesize complex operations from simpler ones. Our prototype can synthesize putc for the PL011 UART device and send_packet for the VirtIO network device. We believe that Ghost Writer can be the foundation towards automating the development of correct-by-construction device drivers.
On the Challenge of Sound Code for Operating Systems

The memory-safe systems programming language Rust is gaining more and more attention in the operating system development communities, as it provides memory safety without sacrificing performance or control. However, these safety guarantees only apply to the safe subset of Rust, while bare-metal programming requires some parts of the program to be written in unsafe Rust. Writing abstractions for these parts of the software that are sound, meaning that they guarantee the absence of undefined behavior and thus uphold the invariants of safe Rust, can be challenging. Producing sound code, however, is essential to avoid breakage when the code is used in new ways or the compiler behavior changes.
Development of Exhibition Media Content for Overcoming COVID-19: Focused on The Exhibition &lt;New Normal + Convergence Design&gt; Utilizing Interactive Video and Augmented Reality Content

Even in the post-COVID era, various exhibitions continue to provide audiences with the experience of art in both online and offline exhibitions. The aim of this research is to plan a user-centered exhibition for overcoming COVID-19 in the post-pandemic era and create media design exhibition content accordingly. The goal is to convey the message of overcoming COVID-19 to people in this era through the experiences of users with the &lt;New Normal + Convergence Design&gt; exhibition content. In order to achieve this, these six exhibition contents consist of three interactive video works using projection, two interactive video works using large TVs, and one augmented reality interactive artwork. Through this research, the proposed media design exhibition content, utilizing digital technologies such as interactive video and augmented reality, can create new experiences for artists, researchers, and audiences even in the post-COVID era.
A Study of Improvement Strategies for Bapsang Community Social Welfare Center

This research aims to identify and prioritize factors to promote Bapsang Community Social Welfare Center. For this purpose, we adopt Analytic Hierarchy Process (AHP), which is the most widely used decision-making method. Four factors (Welfare Facilities, Programs, Exchange and Network-building, Support Policies) and 20 items were analyzed for priority, and the major findings are as follows. First, the four higher-order factors were ranked in priority in the order of: (1) Exchange and Network-building, (2) Support Policies, (3) Programs and (4) Welfare Facilities. Second, the overall priority rank of the items were: (1) Collaboration among the stakeholders (2) Greater policy support from the federal and local government (3) development and maintenance of Bapsang Community’s resources (4) Services that cater to individual member’s wants, (5) information exchange between the Babsang community and the administrative welfare centers. The academic implications of this research are that it identifies and prioritizes factors that have not been discussed in past literature as factors to promote Bapsang Community Welfare Center.
A Study on Job Analysis of Project Manager of Cultural Foundation in the Metropolitan Area

This study is aimed to identify the duties and tasks of the project manager of regional culture foundations in the metropolitan area using the DACUM technique. Through this study, the importance, difficulty, and frequency of each task were derived and core tasks were identified. The results of this study are as follows. First, the job of the project manager consists of 11 duties and 81 tasks. Second, it was confirmed that the tasks of project managers in the regional culture foundations was performed based on the competence necessary as a local cultural expert defined in the “Regional Culture Promotion Act”. Third, it was found that it is important to have expertise in planning and on-site management to the project managers. This study is expected to contribute to providing materials that can be a basic data of the competence required for the project manager of the regional culture foundation, and to providing a framework for the efficiency of the work system.
A Contrastive Study on Equivalent Compound Words in Korean and Chinese: Focusing on the Semantic Relationships of the Components

The purpose of this study is to examine the corresponding types of Korean-Chinese equivalent compound words based on a list of Korean equivalent compound words derived from the literature research method. To this end, a total of 34 Korean equivalent compound words that are educationally meaningful for Chinese learners were selected based on the Korean learning vocabulary list of the National Language Institute in Korea. Next, the list of Korean equivalent compound words was categorized into three types: 8 complementary compound words, 16 contiguous compound words, and 10 overlapping compound words. Finally, the corresponding types of Korean-Chinese equivalent compound words were presented in nine different cases. This study is significant in that it compiled a list of Korean equivalent compound words that differ from Chinese equivalent compound words based on the semantic relationships of the components, and further analyzed the corresponding types of KoreanChinese equivalent compound words in nine detailed cases.
A Study on Music Therapy with Classic Music for Psychological Problems in 4th Industrial Revolution Era

The purpose of this study is to suggest a method of using classic music to treat psychological and mental problems that are considered adverse effects of the 4th industrial revolution. This study examined problems by referring to the preceding studies and materials related to the 4th industrial revolution and used the classic music and music therapy-related preceding studies to suggest improvement measures.&#x0D; It is expected that the 4th industrial revolution will rapidly develop science technologies, enrich human lives, and enhance convenience of people to create a new world. Nevertheless, there are concerns over harmful consequences like what happened during the 1st to 3rd industrial revolutions. Among them, humans may experience worsening problems, such as technology addiction, identity confusion, human alienation, loss of humanity, anharmonic human behavior, and inequalities. Thus, this study suggested a classic music-based therapy for treating those problems.
The Posthuman Imagination of Digital Opera in the 21st Century: Michel van der Aa's &lt;Upload&gt;(2019-2020)

This study explores the post-human imaginative aspects present in Michel van der Aa's opera Upload(2019-2020). This work serves as a motif based on the concept of ‘mind uploading’ which has been extensively discussed in connection with the advent of posthumanism in the future. After examining the shifts in contemporary opera due to the proliferation of technology, this study delves into the futuristic imagination realized in “Upload” through three perspectives: ‘post-death and disembodiment imagination,’ ‘the dichotomy of mind and body in a gender context,’ and ‘transition from transhuman narratives to posthuman narratives.’ While this piece seemingly portrays a techno-fantasy that aims to overcome human limitations through technology, it also presents the problems that could arise from technological failure through its stagecraft transcending the stage and screen, narrative strategies of reversal, and the intertwining of electronic and acoustic music.
A Study on the Aspect of Insertion in Classical Novels: Focused on &lt;Hasaengkiwoojeon&gt;

The purpose of this paper is to discuss the aspects of &lt;Hasaenggiujeon&gt; included in Shin Gwanghan's Gijaegii. As a research method, in order to examine the aspects of poetry inserted in classical novels, the author was considered and the genre recognition was considered in the literary style at the time, and six works inserted in &lt;Hasaengkiwoojeon&gt; were analyzed. The history of literature has developed from the lyrical genre to a major. Poetry inserted into classical novels shows the development of the narrative genre in an era where the lyric genre is active. Shin Gwang-han lived in the early Joseon Dynasty. At this time, it was an era centered on the lyric genre. &lt;Hasaengkiwoojeon&gt; belongs to a love story with a biographical character. In the story of a man and a woman meeting each other and overcoming obstacles and achieving love, the psychological description of the characters is very important. In the early Joseon Dynasty, narrative techniques representing the psychology of characters did not develop, and the role was replaced by inserted poems. It contributed to the completeness of the narrative by revealing the psychology of the character by taking advantage of the characteristics of the poem revealing the emotion.
Rancang Bangun Game Edukasi Dream Academy Berbasis Android

Educational games are games that contain knowledge or information that is educational. The knowledge is shown in the game and can also be through the game storyline in the application itself. The use of games can keep students motivated and make learning more interesting if it also includes students. But what happens in junior high school lately is that students have difficulty capturing learning materials that have been explained by teachers. Students often forget what has been learned when the teaching and learning process is complete. So that it takes repetition so that the subject matter described can be remembered by students. Overcoming these problems, dream academy educational games were made. Dream Academy game gives players playing the main character whose name can be handpicked as desired and built using the Unity3d Engine with C# programming language applied to Android Smartphones. Dream Academy's educational game uses black box testing as a test of game application action with 12 test cases that get the expected results that are 100% successful, and heuristic evaluation testing uses a method of spreading questionnaires involving 30 respondents with results obtained on average above 120, based on the category of heuristic problem level that is no problem and no need for improvement.
Exploration and Research on the Hybrid Model Curriculum Reform under the Collaboration of School and Enterprise

Under the guidance of the new professional talent cultivation plan, relying on the “JSP Program Design” to construct a teaching mode, this paper has completed the exploration and research of mixed mode curriculum reform under the cooperation of school and enterprise. In the reform, various forms of interactive teaching are introduced into the classroom, fully mobilizing students’ autonomy and initiative, and reflecting the student-centered teaching spirit. At the same time, carry out activities to bring projects into the classroom, utilize open laboratory platforms, introduce industry experts, and transfer the job responsibilities of enterprises to experimental teaching, cultivating students’ abilities in four aspects: professional foundation application, thinking logic analysis, team collaboration, and innovation and entrepreneurship. The practical results indicate that the reformed curriculum model has strong applicability, significantly improving students’ learning enthusiasm, and significantly enhancing their practical application ability. The teaching reform model has the necessity of further promotion.
Quantitative causality, causality-aided discovery, and causal machine learning

It has been said, arguably, that causality analysis should pave a promising way to interpretable deep learning and generalization. Incorporation of causality into artificial intelligence algorithms, however, is challenged with its vagueness, nonquantitativeness, computational inefficiency, etc. During the past 18 years, these challenges have been essentially resolved, with the establishment of a rigorous formalism of causality analysis initially motivated from atmospheric predictability. This not only opens a new field in the atmosphere-ocean science, namely, information flow, but also has led to scientific discoveries in other disciplines, such as quantum mechanics, neuroscience, financial economics, etc., through various applications. This note provides a brief review of the decade-long effort, including a list of major theoretical results, a sketch of the causal deep learning framework, and some representative real-world applications pertaining to this journal, such as those on the anthropogenic cause of global warming, the decadal prediction of El Niño Modoki, the forecasting of an extreme drought in China, among others.
Investigation on the Integration of Low-Cost NIR Spectrometers in Mill Flour Industries for Protein, Moisture and Ash Content Estimation

The flour milling industry—a vital component of global food production—is undergoing a transformative phase driven by the integration of smart devices and advanced technologies. This transition promises improved efficiency, quality and sustainability in flour production. The accurate estimation of protein, moisture and ash content in wheat grains and flour is of paramount importance due to their direct impact on product quality and compliance with industry standards. This paper explores the application of Near-Infrared (NIR) spectroscopy as a non-destructive, efficient and cost-effective method for measuring the aforementioned essential parameters in wheat and flour by investigating the effectiveness of a low-cost handle NIR spectrometer. Furthermore, a novel approach using Fuzzy Cognitive Maps (FCMs) is proposed to estimate the protein, moisture and ash content in grain seeds and flour, marking the first known application of FCMs in this context. Our study includes an experimental setup that assesses different types of wheat seeds and flour samples and evaluates three NIR pre-processing techniques to enhance the parameter estimation accuracy. The results indicate that low-cost NIR equipment can contribute to the estimation of the studied parameters.
Face Mask Detection Model Using Convolutional Neural Network

In current times, after the rapid expansion and spread of the COVID-19 outbreak globally, people have experienced severe disruption to their daily lives. One idea to manage the out-break is to enforce people wear a face mask in public places. Therefore, automated and efficient face detection methods are essential for such enforcement. In this paper, a face mask detection model for images has been presented which classifies the images as “with mask” and “without mask”. The model is trained and evaluated using the three datasets Real-World Masked Face Dataset (RMFD), Simulated Masked Face Dataset (SMFD), and Labeled Faces in the Wild (LFW), and attained a performance accuracy rate of 99.72% for first dataset, and 100% for the second and third datasets. This work can be utilized as a digitized scanning tool in schools, hospitals, banks, and airports, and many other public or commercial locations.
Integration of Metaverse Technology Into the Police Academy Education and Training System

This study explores the potential of integrating the metaverse into police colleges for education and training purposes. The metaverse, considered a futuristic educational platform, is investigated for its viability. The study employs a two-pronged approach involving a review of 13 relevant studies and a survey to gather qualitative data on metaverse usage. The findings reveal a strong willingness to embrace the metaverse, dissatisfaction with current police education programs, inadequate preparedness of cadets after training, and various potential applications of the metaverse in police education, sports training, military training, professional policing, and data management. Recommendations include metaverse adoption in police institutions, thorough risk assessment, and comprehensive training for educators.
The Historical Evolution, Developments and Accounting Implications of Cryptocurrency Operations

The governments around the globe except Salvadoran government had issued several warnings such as outright ban against the investment in the cryptocurrency. This act was due to the associated risk of loss of investment and lack of accountability framework in the countries. This paper, therefore, appraises the historical evolution and accounting implications of cryptocurrency operations. The desk review methodology anchored on content analysis of relevant literatures and conveniency sampling method was used for the study. The paper identified that the evolution of cryptocurrency was based on the desire to jettison government intervention in financial control vis-a-vis the experience of the global meltdown of year 2007-2008. Also, the study revealed that lack of local and global accounting standard affects accountability in terms of cryptocurrency. The study, therefore, concludes that cryptocurrencies and central bank digital currencies (CBDCs) are new trends in the evolution of monetary economics. It, therefore, recommends that International Federation of Accountants (IFAC) should, in the interest of global citizenry, put in place an emergency machinery and framework for the setting and release of global accounting standard that is specific to cryptocurrency.