Reviewerly/exHarmony huggingface dataset:
Efforts of Improving the Quality of Learning Indonesian Language and Literature through Society 5.0

Changes in science and technology require us to keep abreast of every change, especially in the field of education. Education is the main thing that will continue to follow the times; One of these changes is Society 5.0. The purpose of this article is to find out how to improve the quality of learning the Indonesian language and literature through social media in the 5.0 era. The method used is literature analysis. This writing method is done through a literature review or literature study in writing. In this paper, the author wants to find out more about how to improve the quality of learning the Indonesian language and literature through social media in the 5.0 era. Education about 21st-century life skills or better known as 4C (Creativity, Critical Thinking, Communication, Collaboration). The results of this study reveal that various social media can be used, such as Twitter, Instagram, YouTube, and many more. Each social media has advantages and disadvantages.
A Case Study on the Effectiveness of Recommendation Al-gorithms for Sake Review Website

Recommendation systems have been used in various online businesses and have been recognized as useful for promoting product purchase and information browsing. However, the system design policies for each target service remain insufficiently clarified. One reason for this is that few case studies in practical environments exist since only the provider of the commercial platform obtains and confirms operational data of the recommendation algorithm and the resulting user behavior. Therefore, in this study, we investigate how some recommendation algorithms affect user behavior in online services for the Japanese Sake system. In the investigation, one of the four recommendation algorithms was assigned to each of the 858 users who logged into the system during 80 days. For each recommendation algorithm, the number of system logins, transitions to the sake description pages, sake brands registered in the sake to-drink list, and posted review comments to each sake brand were analyzed from the system history. Our results show that the recommendation system with association analysis was effective in recommending sake brands for its review sites, considering individual preferences and general popularity.
Proposal for Management Method for Industry–Academia Collaborative Research using PoC Framework

To generate innovation from research results generated by universities and public research institutions, the research results should be transferred to companies. However, given that research results from universities and public research institutions are not initially intended for commercialization, additional research, and development are required to commercialize them. In addition, every organization has different objectives and characteristics, and re-search results are highly sticky information, making technology transfer difficult. Therefore, rather than simply providing information, technology transfer may be conducted through collaboration, such as collaborative research. Existing studies have proposed a framework for analyzing collaborative research between industry and academia from a proof-of-concept perspective and have analyzed the success factors. This present study proposes a method of using this framework (PoC framework) for the management of collaborative research be-tween industry and academia for the purpose of commercialization. The proposed method can fill the knowledge gaps between industry and academia. The study found that a com-bination of the PoC framework and other frameworks (i.e. Value Proposition Canvas) is effective in the management method.
Implementation of Automated Feedback System for Japanese Essays in Intermediate Education

Traditional Automated Essay Scoring (AES) only provides students with a holistic score, unable to provide meaningful feedback on students writing. Holistic, structure, style, word, and readability are chosen from the 6+1 writing-trait theory to create an Automated Essay Feedback (AEF) for Japanese L1 students. By combining these rule-based traits with a data-driven model, wecreated a hybrid system that can automatically grade and give feedback to students. The system automatically identifies parts of student writing that need improvement, then recommends corrective and suggestive feedback. Our contributions are twofold: design a 5-writing-trait AEF for Japanese L1 students and implement the holistic corrective writing-trait.
Product Inspection System on Single Evidence

Thailand requires the Log management server or known as Log Server to store and manage computer traffic information for 90 days according to Computer-related Crime Act B.E. 2560 [1]. Therefore the log server requires to test according to the law. The Product inspection system has been created and used for Log server testing according to the National Electronics and Computer Technology Center standard (NTS 4003.1-2560). To test the Log Server, need a highly trained and experienced tester to evaluate the log server manually. The burden occurs in finding highly trained and experienced testers. To generate knowledge on the Log server test does take years to build. Furthermore, training a tester to acquire competent skills and knowledge would take even longer time. The test evaluation has been done manually, which takes a great time to complete as the tester has to evaluate the evidence one by one without any helping tools. In addition, the chance of an error from emotional or biased judgment can occur and cause the inconsistency verification result. Thus, to overcome the mentioned burdens, an automated log server inspection, and verification system has been developed. This system is called a “Computer traffic data storage system (SAS Log)” [2], which evaluates the evidence based on the label on the log server machine. The system would diminish the unambiguous and inconsistent verification result with Machine Learning in Image Processing [3] and Ontology technology [4].
Towards Hypedermocracy: Case Studies on an Agent-powered Online Discussion Support Systems

Online discussion among civilian is important and essential for next-generation democracy. Crowd-scale online discussion platforms are receiving great attention as potential next-generation methods for smart democratic citizen platforms. Such platforms require support functions that can efficiently achieve a consensus, reasonably integrate ideas, and discourage flaming. In this work, we propose D-agree platform in which an automated facilitation agent helps to manage crowd-scale online discussions. An automated facilitator agent extracts the discussion structure from the texts posted in discussions by people. In this paper, we present our current implementation of D-agree, a crowd-scale discussion support system based on an automated facilitation agent, which extracts discussion structures from text discussions, analyzes them, and posts facilitation messages. We conducted a large-scale social experiment with Nagoya City’s local government. The results present that our automated facilitation agents succeeded to gather more opinions from people. Furthermore, we present hyperdemocracy, a vision for the next generation democratic platform.
Diagnostic Value of Mammogram for Breast Cancer Screening in Women With Dense Breast Tissue

Breast cancer is the second most prevalent cancer among women in the United States (1).Women at a younger age are more likely to have an aggressive case with a poorer prognosis.In the US, about 33,000 women younger than 45 years old are diagnosed with breast cancer annually.Among this age group, breast cancer is the leading cause for cancer-related deaths.It is predicted that around one in eight women will get breast cancer (2).Women younger than 45 years old account for approximately nine percent of all new cases of breast cancer in the US.In addition, dense breast tissue is more prevalent in younger women.Unlike fatty breast tissue, dense breast tissue absorbs more radiation during mammograms (3,4).Therefore, the accuracy and the diagnostic value of mammograms decrease for breast cancer detection among women with dense breast tissue (3).Dense breast tissue increases the risk for developing breast cancer by 4.7 times (1).Studies showed ultrasound (US) increases the breast cancer detection among women with dense breast tissue (1,5).In women with dense tissue adding US testing increased detection sensitivity as compared to only Mammogram screening (6).Regardless of breast type, density, and history, magnetic resonance imaging (MRI) has the highest, and mammography has the lowest sensitivity for breast cancer detection (7).The predicted total cost of metastatic breast cancer will be US$ 152.4 in 2030 ( 8).The cost-effectiveness of breast cancer screening with MRI among younger women with dense breast tissue is controversial.A false negative mammogram leads to a failure in finding breast cancer advancement early enough to prevent incurable stages and therefore a premature death (9).In addition, false positive mammograms can cause anxiety and additional costs for women with no breast cancer (9).A quality-assured mammographic screening program showed about two-thirds of women with breast cancer at the time of screening will remain underdiagnosed or the cancer will not be detected early enough so it progresses to metastatic cancer (9,10).Although only women with breast cancer can benefit from mammogram screenings, many of these women remain Diagnostic Value of Mammogram for Breast Cancer Screening in Women With Dense Breast Tissue
Using Think-Aloud Protocol in Immersive VR Evaluations

There is a growing research interest concerning the use of VR as a medium in which to stage experimental evaluations. However, it is still unclear whether conventional usability evaluation methods can be directly applied to virtual reality evaluations and whether they will lead to similar insights when compared to the results of conventional usability real-world laboratory studies. Furthermore, the impact of graphic and interaction fidelity of the virtual prototype on the evaluation result is largely unexplored. Hence, we conducted two user studies with 44 participants. Results in the first study show that 61% of the reported usability problems were shared by both versions, highlighting the potential of Immersive Virtual Reality Evaluations (IVREs) as a method to evaluate early design concepts before committing to a physical prototype. In the second study, we found that usability issues related to the manual operation of the interactive device might not be identified if the interaction is implemented via supernatural techniques. In terms of graphical implications, designers should focus on those visual elements that communicate information to users. We discuss these implications and provide guidelines for deploying IVREs.
A New Direction Towards Plus weighted Grammar

Abstract: The core of this paper is to establish plus weighted grammar and to illustrate the language accepted by the pwfa and pwg are equivalent.
A Web Service Discovery Approach Based on Operation Discovery with Ranking Algorithm

Abstract: Today’s all people aware with Grid Computing. It is resource sharing and coordinated problem solving in dynamic multi–institutional virtual organization. Trust is a characteristics and quality of a Grid Computing. It is enabling of confidence that something will or will not occur in a predictable manner. It is supported on identification, authentication, accountability, authorization and availability. Trust Model identifies the specific mechanisms that are necessary to respond to a specific threat profile. Threat Profile identifies the specific threats that are most likely to put environment at risk. Web Service Prediction Framework is used for the service discovery and web content, it explaining an algorithm for the induction’s rule for prediction. This framework description model contains the path type of interface parameter. This method shows overall matching of interface by assuming abbreviation of synonyms and combined form of disordered fragments into outcomes in form of high precision, recall and F-measure. The current approach is dealing with query of word related or it may be semantic in discovery dataset. Further web service mining of synaptic from dataset in knowledge of domain can be work in future. It will help to investigate the better approach to calculate relationship of trust and drawback evaluation
Eulerian and Lagrangian Fundamentals

Classical continuum mechanics focuses on the deformation field of moving continua. This deformation field is composed of the trajectories of all material elements, labeled by their initial positions. This initial-condition-based, material description is what we mean here by the Lagrangian description of a fluid motion. In contrast to typical solid-body deformations, however, fluid deformation may be orders of magnitude larger than the net displacement of the total fluid mass. The difficulty of tracking individual fluid elements has traditionally shifted the focus in fluid mechanics from individual trajectories to the instantaneous velocity field and quantities derived from it. These quantities constitute the Eulerian description of fluids. This chapter surveys the fundamentals of both the Lagrangian and the Eulerian approaches. We also cover notions and results from differential equations and dynamical systems theory that are typically omitted from fluid mechanics textbooks, yet are heavily used in later chapters of this book.
A survey paper on blockchain and its implementation to reduce security risks in various domains

Every technology with its powerful uses has issues connected to it and security is at the top of it. As for the changing environment, the world has been shifting to Virtual Reality, the new coming world seems to be the internet and blockchain technology which is more powerful than others and has its applications in every field, be it quantum computing, internet of things, security or others. This survey paper covers the blockchain and its security in different fields of sciences and technology. We begin with the introduction of blockchain and then discuss its structure. After that security issues have been highlighted which include attacks and their behavior in quantum computing, internet of things, cloud computing. Furthermore, we have discussed the most common types of attacks and the SRM model of blockchain followed by the conclusion.
PELATIHAN Ms. OFFICE, ENGLISH FUN LEARNING ( EFL) DAN BELAJAR SAMBIL BERMAIN (BSB) DI TLANAKAN PAMEKASAN MADURA

Real Work Lecture (KKN) is an intra-curricular course organized by academics in all universities that must be followed by all students with the aim of increasing students' abilities and insights as a provision for life in society after graduating from study. Basically, Real Work Lecture (KKN) is a form of real dedication of a student to the real community. After getting lecture material that can always be useful in the community itself. English Fun Learning (EFL) and Learning While Playing (BSB) training services have been carried out. This service is carried out by the Service Team and KKN students. The place of this devotion is Tlanakan Pamekasan Madura. This service method uses 3 stages, namely Lecture, Discussion, Demonstration. The result of this service is an understanding of Ms. Office increased, increased learning outcomes using English Fun Learning (EFL), increased learning outcomes using Learning While Playing (BSB).&#x0D; Keywords: Training, EFL, BSB, Office, Tlanakan.&#x0D;
The Impact Of The Internet Of Things (Iot) On Innovation And Knowledge Management Capacity

This research project primarily focuses upon Internet of Things (IoT), which is really a concept that envisions a world in which every day physical objects shall be transformed with modern technological concepts, ensuring a complete transformation of human society. However, the impact of IoT is something that is crucially related to in terms of pointing out the crucial aspects and assertions in terms of pointing out all the relevant possibilities and significance. The relevant points that are most critically fashioned involve the crucial involvement of innovation and knowledge management. These two factors are applied in terms of organizations or firms who are likely to develop IoT technology outcomes. This essentially relates to the pursuit of the different conditions and factors all across the board, and it has been determined in literature that both innovation and knowledge management are intrinsically related to one another. It contributes to the overall perceptions based upon which relevant outcomes and results would be delivered. In that vein, contextualizing IoT is related by organizations or firms pursuing knowledge management in order to increase and strengthen capacities, which might be pursued in terms of established factors or innovate by themselves. Innovation extends to a great deal of possibilities that would be highlighted in terms of pointing out the overall outcomes that would be associated with continuous and advantageous possibilities with IoT
Exploring the Managerial Concerns and Issues in Knowledge Management and Their Impact on Organisations

Knowledge management is a vital part of organisations' development and maintaining their competitive edge. It involves the collection, storage, retrieval and sharing of knowledge within the organisation (Azeem et al., 2021). This paper looks at the problems in managing and concentrates on the field of knowledge management, as well as their impact on organisations. It also provides an overview of the strategies that can be implemented to address these issues and ensure the successful implementation of knowledge management initiatives. The researcher used here secondary data collection techniques, interpretivism philosophy; deductive research approach, explanatory research design, and qualitative method to develop this research paper. Certain managerial concerns and issues can arise when it comes to knowledge management in organizations (Ferraris et al., 2019). These include identifying the right knowledge resources, managing access to these resources, ensuring data security and privacy, and developing effective strategies for transferring knowledge from one person or team to another. Unfortunately, many organizations struggle with Knowledge Management issues that can lead to poor decision-making, lack of innovation, and inefficient operations. Also, these issues can have a significant impact on the organisation, ranging from reduced productivity to increased costs. The findings of this research paper show that several managerial concerns and issues need to be addressed for organisations to effectively manage their knowledge assets (Migdadi, 2019). These include the need for better communication between departments, improved data collection and analysis, adequate resources for knowledge sharing, and effective training programmes for employees. By implementing these, an organization can gain a competitive advantage and improve its activities
PELATIHAN DASAR-DASAR PENGGUNAAN MICROSOFT WORD UNTUK SISWA SD N 2 TULIKUP GIANYAR

Education has an important role in efforts to improve human resources in a better direction. Education is expected to be able to form students who can develop their attitudes, skills and intellectual intelligence so that they become skilled, intelligent and noble human beings. At this time of modernization the computer is no longer a foreign device. The use of computers has become an important part of the nation's students in schools. In terms of computer education, it can be used as a tool (media) in the teaching and learning process for both teachers and students. Students' knowledge of using computers, especially the Microsoft Word application at SD Negeri 2 Tulikup, is still relatively small, so that the assignments given at school do not yet use Microsoft Word. Therefore, computer training activities are needed, especially Microsoft Word training. On the bright side, children become more diligent and motivated to learn to concentrate. To achieve this goal, training and assistance have been carried out in the teaching and learning process of introducing information technology in the form of Microsoft Word. This training is conducted regularly and is accompanied by hands-on practice so that the students of SD Negeri 2 Tulikup find it easier to understand and remember. Based on the results of the monitoring and evaluation carried out, this community service activity went well and smoothly, seen from the enthusiasm of the students to learn and directly practice the material that had been taught. The participants were able to use existing tools in Microsoft Word. With this training, it is hoped that students will be more diligent in studying computers which will later be useful in completing school assignments and jobs related to technology.&#x0D; Keywords: Training, Microsoft Word; Elementary school
Commutative ideals of BCI-algebras based on Łukasiewicz fuzzy sets

With the aim of applying the Łukasiewicz fuzzy set to commutative ideal in BCI-algebras, the concept of Łukasiewicz fuzzy commutative ideal is introduced, and its properties are investigated. The relationship between a Łukasiewicz fuzzy ideal and a Łukasiewicz fuzzy commutative ideal are discussed. After providing an example of a Łukasiewicz fuzzy ideal, not a Łukasiewicz fuzzy commutative ideal, conditions under which a Łukasiewicz fuzzy ideal can be a Łukasiewicz fuzzy commutative ideal are explored. Characterizations of Łukasiewicz fuzzy commutative ideals are displayed. Conditions under which $\in$-set, q-set, and O-set can be commutative ideals are found.
English Oral and Written Receptive Skills of Vocational Lecturers

Reading and listening as receptive skills have been investigated from multiple angles. The current research is a descriptive study aiming to find the correlation between the two receptive skills. In addition, it investigates the strengths and weaknesses in terms of four subskills (finding the main idea, answering stated-detail questions, answering implied-detail questions, and identifying the meaning of the expressions used in an oral or written discourse) performed by the respondents who were grouped as the high achievers and the low achievers. The research findings confirmed a significantly positive correlation between reading and listening skills. In the listening test, the high achievers had strengths in all of the subskills, whereas the low achievers’ performance in all the subskills was below 50%, which implied that they had weaknesses in all of the listening subskills. In the reading test, the high achievers had strengths in all subskills. The low achievers showed strong reading performance in the subskills of finding main ideas and answering stated-detail questions. At the same time, they had weaknesses in the subskills of answering implied-detail questions and identifying the meaning of the expressions used in the written discourse. This result implies that vocabulary is the most important factor to upgrade to anticipate the weakness in the subskills of answering implied-detail questions and identifying the meaning of the expressions used in the written discourse.