Reviewerly/exHarmony huggingface dataset:
Making the 3000m2 Prototype

The paper reveals insights from the project 3000m2 Prototype, a project where the design researcher investigates the making of her own house as a site of negotiation between professional building practices, use practices and material resources. The research draws on science and technology studies (STS) as the point of analytical departure alongside a material–reflective approach of practice–based design. The design of everyday living technologies, like the warm water and bathroom installations, is negotiated between the users, the professional builders, and the environmental forces, which inscribe the future use of these technologies. These emerging scripts are presented and discussed, revealing tension and misalignment between programmes of action in which builders are enrolled and those where the future user wants to design her house use in a resource-conscious way. This paper proposes the alignment of professional, use and resource considerations as a form of co–design of everyday living technologies. It argues that a more collaborative designing incorporating professional, use and resource considerations can produce technologies that lead to more sustainable living.
Pengembangan Sistem Informasi Pengelolaan Perpustakaan (Automasi Perpustakaan) Pada SMP Negeri 1 Padang Ganting

Many libraries have developed services in information systems to facilitate library management. The purpose of this information system is to optimize the performance of library services. In Padang Ganting 1 Public Middle School, providing services for searching, borrowing, and returning books to the library is still manual, so it is necessary to develop an information system in the form of a library automation system. The information system is designed using a programming language, which is software that makes it easy to manage procedures or mechanisms in the library, such as borrowing, searching, returning, and developing, with an automated system. A library information system is available to assist in managing the library electronically so that it is easier for the library to record every data transaction contained in the library.
The Implementation of Multi Label K- Nearest Neighbor Algorithm To Classifying Essay Answers

One way of assessing essays is to use the STAR (Situation, Task, Action, Result) method. This method aims to classify whether the essay already reflects the values of the situation, task, action, and outcome labels presented by the prospective driving teacher. Multi-label classification refers to a classification task in which each data sample can be classified into multiple categories or labels simultaneously. Various methods have been developed to perform multi-label text classification, such as MLKNN, MLTSVM, and MLP. This research aims to determine the value of the accuracy of the score. Therefore, the Multi-Label K-Nearest Neighbor, or MLKNN, algorithm can be implemented to classify essays with five labels: no star, situation, task, action, and result. With a total dataset of 110, which will be obtained from one of the assessors from the driving teacher. The MLKNN algorithm produces an accuracy rate with an average value of 15.6%.
The Application of Support Vector Machine Method to Analyze the Sentiments of Netizens on Social Media Regarding the Accessibility of Disabilities in Public Spaces

According to the Ministry of Social Affairs of the Republic of Indonesia, based on data from the Central Bureau of Statistics, there will be 22.5 million people with disabilities in Indonesia. As time goes on, it is possible that the number of people with disabilities will increase. So, facilities and infrastructure that are friendly to people with disabilities must be given great attention. Various comments from the public regarding this matter arose on social media, especially Twitter, both positive and negative. There are lot of tweet in Indonesian related to this matter, which will be classified using the Support Vector Machine algorithm with the Radial Basis Function kernel using Grid Search and cross-validation. The parameters used are in the range C, γ and produce a maximum accuracy of the parameter combination, result of this study was aligned with previous research that a good and appropriate parameter combination of C and γ in the RBF kernel SVM method will produce maximum accuracy of the classification results.
The Effectiveness Analysis of Distance Learning by Optimizing the Use of Information Technology

In this study, the IS Success Model is used to analyze data on the use of information technology for distance learning during a pandemic in schools in order to determine the factors that influence the application of e-learning in remote learning systems. This study employed a quantitative approach to identify the elements that influence the effectiveness of using technology in distance learning activities. Data collection and data analysis procedure is needed for this research because this research uses quantitative approach to the problem. With respect to the research approach, researchers use methods, analytical techniques, and tools appropriate to the approach quantitatively to get precise results. The research has been successful in examining how information technology is employed in distance learning activities using the Delone and McLean models. As a result, it is possible to make the following conclusions: Google Classroom is the second most widely used program for use in remote learning activities after Zoom. Users' happiness with the usage of apps is influenced by information quality, service quality, user characteristics, and system use in this study.
421 Regional Impacts on Digital Health Information Exchange During a Ransomware Attack

Ransomware cyber-attacks on health care delivery organizations (HDOs), are increasing in sophistication, severity, and frequency. A significant advantage to the widespread adoption of electronic health records is the ability to share digital records among HDOs quickly via health information exchanges. To our knowledge no published data exists analyzing effects of ransomware on digital patient record sharing. The purpose of this study is to report associated regional impacts on the volume of electronic health information record exchange during a month-long ransomware attack on a neighboring HDO.
Analysis of Korean elementary English textbook vocabulary activities and differences in textbook writers’ perception on vocabulary knowledge

Based on the nation’s framework of vocabulary depth, the present study investigated&#x0D; whether the proportion of vocabulary knowledge aspects in EFL textbooks would vary&#x0D; as a function of publishers (i.e., five textbook publishers) and grades (i.e., from 3rd&#x0D; to 6th grades). Log-linear analysis of 8,254 activities from 20 elementary school&#x0D; textbooks in Korea was conducted. Specifically, a noteworthy pattern emerged that&#x0D; the form aspect was more emphasized than the use aspect in Publisher C’s textbook&#x0D; while the opposite was observed from Publisher E. Expanding from this quantitative&#x0D; result, follow-up interviews with Publishers C and E were conducted. The content&#x0D; analysis of the qualitative data showed that all four textbook writers conceptualized&#x0D; vocabulary knowledge as consisting of all three aspects, while acknowledging the&#x0D; relative importance of the formal aspect of vocabulary learning for EFL learners in&#x0D; elementary schools. The present study discusses how the matter of vocabulary depth&#x0D; could be addressed in light of material development on a curriculum level.
Catalytic oxidation of aromatic compounds by nanostructured ruthenium dioxide

Physico-chemical processes that can be used to free industrial leaks from contamination with aromatic compounds were considered in this work. It has been demonstrated that catalytic oxidation with ruthenium dioxide can serve as an effective purification method. An original way of detection of the catalytic oxidation process completion by the photoluminescent method is proposed. A block diagram of the purification setup is given. The results can be used to solve the problem of protecting the environment from certain harmful pollutants.
Cultural Da'wah Movement And Implementation In Civil Society

This dissertation examines the cultural da'wah movement and its implementation in civil society through a case study of Bayt al-Qur'an al-Akbar, a wooden carved structure unique to Palembang, which is the largest Bayt al-Qur'an in the world. The objective of this research is to analyze how the cultural da'wah movement is implemented through Bayt al-Qur'an al-Akbar and its impact on civil society.&#x0D; This study adopts a qualitative approach with a case study method. Data is collected through participatory observation, interviews with the managers of Bayt al-Qur'an al-Akbar, community members, and relevant stakeholders, as well as document analysis. Data analysis is conducted using a descriptive approach.&#x0D; The findings of this research reveal that the cultural da'wah movement through Bayt al-Qur'an al-Akbar has successfully integrated religious, artistic, and cultural values in the effort to disseminate the messages of Islam to the community. The implementation of cultural da'wah is evident in the architectural design of the building, combining Islamic elements with the distinctive wood carving motifs of Palembang. Additionally, Bayt al-Qur'an al-Akbar serves as a center for educational activities, awareness-raising, and religious discussions to enhance the community's understanding of Islam.&#x0D; The impact of the implementation of the cultural da'wah movement is evident in civil society. Bayt al-Qur'an al-Akbar has become a symbol of religious and cultural identity for the people of Palembang. Its presence contributes to building religious awareness, strengthening social networks, and enhancing the understanding of religious values in daily life. Furthermore, Bayt al-Qur'an al-Akbar has a positive influence on the tourism sector and local economy through increased tourist visits.&#x0D; In conclusion, this research emphasizes the significant role of the cultural da'wah movement through Bayt al-Qur'an al-Akbar, a wooden carved structure unique to Palembang, in disseminating religious messages, strengthening religious identity, and enhancing the community's understanding of Islam. Its implementation in civil society has a substantial impact in enriching religious, cultural, and economic aspects of the Palembang community. This study provides a comprehensive understanding of the relationship between the cultural da'wah movement, its implementation in civil society, and the role of Bayt al-Qur'an al-Akbar within the context of Palembang and its surrounding areas.
A study of mid-to long-term distribution planning based on PV installation forecasting

Recently, distributed generations connected to the power distribution system is rapidly increasing due to issue of carbon neutral. For this reason, uncertainty and complexity are increasing in distribution system planning. However, it is difficult to plan the distribution system using the existing method with the distributed generations such as PVs are rapidly connected in Korea. Due to the continuous demand for PV connection, the construction of distribution lines and power substations is required, and it is difficult to plan the size and timing of them. Therefore, the capacity of distribution system should be evaluated through mid- to long-term load and distributed generation forecasting. This paper proposed the PV installation forecasting method using machine learning. It is described in the optimization algorithm that plans the substations and feeders for distribution system so that the cost of the distribution system is minimized by applying it to KEPCO&apos;s distribution planning system. In addition, this paper presented the development of KEPCO&apos;s power distribution planning system using PV installation forecasting scenario and the result of testing on a KEPCO&apos;s branch office.
Meteorological benchmark forecasts for energy management systems

Novel energy management and scheduling algorithms that tightly integrate volatile renewable energy sources often depend on external forecasts such as numerical weather predictions. Since the quality of the forecasting inputs may widely affect the system performance, detailed assessments are needed. This work addresses the need for large-scale forecasting datasets by presenting methods to refine and generate artificial benchmarking inputs. A k-NN-based localization approach and a synthetization technique generating artificial PV forecasts for benchmarking purposes are herein developed and thoughtfully assessed. It is shown that the localization approach can successfully push the accuracy of coarse long-term reforecasting datasets into the range of state-of-the-art services. The artificial forecast generation method complements the work by providing highly controllable benchmarks. Hence, new prospects in assessing algorithms under test with respect to their forecast-quality requirements are provided.
<i>Correction to:</i> User Experience Evaluation in Shared Interactive Virtual Reality, by Guertin-Lahoud et al. Cyberpsychol Behav Soc Netw 2023;26(4):263–272; doi: 10.1089/cyber.2022.0261

Cyberpsychology, Behavior, and Social NetworkingAhead of Print CorrectionOpen AccessCorrection to: User Experience Evaluation in Shared Interactive Virtual Reality, by Guertin-Lahoud, et al. Cyberpsychol Behav Soc Netw 2023;26(4):263–272; doi: 10.1089/cyber.2022.0261is erratum ofUser Experience Evaluation in Shared Interactive Virtual RealityPublished Online:26 Sep 2023https://doi.org/10.1089/cyber.2022.0261.correxAboutSectionsPDF/EPUB Permissions & CitationsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail In the April 2023 issue of Cyberpsychology, Behavior, and Social Networking (vol. 26, no. 4; pp. 263–272) the article entitled “User Experience Evaluation in Shared Interactive Virtual Reality” by Guertin-Lahoud, et al. requires correction.This article was originally published under the copyright of Mary Ann Liebert, Inc. publishers. It has now been updated to reflect Open Access, with copyright transferring to the author(s), and a Creative Commons License (CC-BY) added (http://creativecommons.org/licenses/by/4.0). The CC-BY license goes into effect September 25, 2023.The online version of this article has been corrected to reflect this.FiguresReferencesRelatedDetailsRelated articlesUser Experience Evaluation in Shared Interactive Virtual Reality14 Apr 2023Cyberpsychology, Behavior, and Social Networking Volume 0Issue 0 InformationCopyright 2023, Mary Ann Liebert, Inc., publishersTo cite this article:Correction to: User Experience Evaluation in Shared Interactive Virtual Reality, by Guertin-Lahoud, et al. Cyberpsychol Behav Soc Netw 2023;26(4):263–272; doi: 10.1089/cyber.2022.0261.Cyberpsychology, Behavior, and Social Networking.ahead of printhttp://doi.org/10.1089/cyber.2022.0261.correxcreative commons licenseOnline Ahead of Print:September 26, 2023PDF download
Analysis Directive Speech Act And Communication Approach Between Teachers And Students In The Learning Process

The objectives of the research are to describe the types of directive speech acts of the teacher and student in learning and explain a pragmatic meaning of directive speech acts in the interaction of teacher and student in class XI MIPA 2 Pondok Pesantren Al-Urwatul Wutsqaa Benteng year of 2020/2021. This research method was a qualitative descriptive method with the purpose of getting an objective description of the teacher and student speech in the interaction of teaching and learning in class XI MIPA 2 Pondok Pesantren Al-Urwatul Wutsqaa Benteng. Data collection techniques usedin this study were uninvolved conversation techniques, recording techniques,and note-taking techniques.The data collection technique was used by researcher togain complete data regarding the types of directive speech acts.The researcher carried out the analysis includes four phases:identification,classification,interpretation, and report.&#x0D; Data gained in this study amounted to 16 speeches. There were 4types ofdirective speech acts from 16 speeches: types of directive speech acts questions,command,request,and prohibition.Thepragmaticmeaning found as follows: sense ofreminding, directing, commanding,pleading, recommending,and criticizing.&#x0D;
IMPROVING STUDENTS’ SPEAKING ABILITY THROUGH TWO STAY – TWO STRAY OF ITKES MUHAMMADIYAH SIDRAP

This research is aimed at knowing whether students‟ speaking ability can be improved by using Two Stay - Two Stray and what are the strengths and weaknesses of Two Stay - Two Stray in teaching speaking in the second semester students of ITKES Muhammadiyah Sidrap in the academic years of 2021. This research uses Classroom Action Research (CAR) which is taken from Kemmis and McTanggart‟s design; it consists of 2 cycles. Every cycle consists of four phases those are: planning, acting, observing, and reflecting. The subject of this research is the students in IId of ITKES Muhammadiyah Sidrap. Field note, questionnaire, and test are used in collecting the data. There are three tests used in this research, they are: pre-test, post-test 1, and post-test 2 with the standard of students‟ successful was 65. The findings of the research showed that (1) The students‟ speaking ability improved; (2) Related to the field note results showed that the students were more confident and enthusiast in speaking. It can be seen from their participation in the class, in the conversation, and their performance in group work; and (3) Related to the questionnaire result, it is proved that the response of the students toward Two Stay – Two Stray in teaching speaking is 96%. Based on all those findings, it can be concluded that the application of Two Stay - Two Stray can improve the students‟ speaking ability.
APPLICATION OF ARTIFICIAL INTELLIGENCE (AI) IN TELEVISION INDUSTRY MANAGEMENT STRATEGY USING GROUNDED THEORY ANALYSIS: A CASE STUDY ON TVONE

The television industry has undergone many changes over time, especially with ever-increasing technological advances. One technology that has had a significant impact on this industry is artificial intelligence (AI). The purpose of this research is to understand the application of artificial intelligence (AI) in the television industry management strategy with a case study on tvOne. This study utilised qualitative methods to understand and describe the situation that takes place in the research environment. The sample in this study were five respondents from tvOne’s top management. The analysis began with the coding stage of the data derived from the results of the interviews which had been transcribed into text using a grounded theory approach. The conclusion of this study is that the opportunity provided by AI for the television industry is content production. Opportunities for implementing AI technology at tvOne, through the integration of AI in content production, are directed at increasing the efficiency and quality of program production by utilising more sophisticated data analysis and automation. Then, the challenges faced in implementing AI in the television industry are resources. The challenge of implementing AI technology at tvOne is in terms of human resources and physical resources needed, which include the necessary technical expertise and the availability of adequate financial resources and infrastructure.
Ford Fulkerson and Newey West Regression Based Dynamic Load Balancing in Cloud Computing for Data Communication

In Cloud Computing (CC) environment, load balancing refers to the process of optimizing resources of virtual machines. Load balancing in the CC environment is one of the analytical approaches utilized to ensure indistinguishable workload distribution and effective utilization of resources. This is because only by ensuring effective balance of dynamic workload results in higher user satisfaction and optimal allocation of resource, therefore improve cloud application performance. Moreover, a paramount objective of load balancing is task scheduling because surges in the number of clients utilizing cloud lead to inappropriate job scheduling. Hence, issues encircling task scheduling has to be addressed. In this work a method called, Ford Fulkerson and Newey West Regression-based Dynamic Load Balancing (FF-NWRDLB) in CC environment is proposed. The FF-NWRDLB method is split into two sections, namely, task scheduling and dynamic load balancing. First, Ford Fulkerson-based Task Scheduling is applied to the cloud user requested tasks obtained from Personal Cloud Dataset. Here, employing Ford Fulkerson function based on the flow of tasks, energy-efficient task scheduling is ensured. The execution of asymmetrical scientific applications can be smoothly influenced by an unbalanced workload distribution between computing resources. In this context load balancing signifies as one of the most significant solution to enhance utilization of resources. However, selecting the best accomplishing load balancing technique is not an insignificant piece of work. For example, selecting a load balancing model does not work in circumstances with dynamic behavior. In this context, a machine learning technique called, Newey West Regression-based dynamic load balancer is designed to balance the load in a dynamic manner at run time, therefore ensuring accurate data communication. The FF-NWRDLB method has been compared to recent algorithms that use the markov optimization and the prediction scheme to achieve load balancing. Our experimental results show that our proposed FF-NWRDLB method outperforms other state of the art schemes in terms of energy consumption, throughput, delay, bandwidth and task scheduling efficiency in CC environment.
E-Learning As A Study Methodology in Primary Education Students: A Bibliometric Study in Scopus Between 2018-2022

The objective of this study was the analysis and quantification of the scientific literature from the Scopus database about the state of the literature regarding e-learning as a study methodology in primary education students during the period 2018-2022. Thus, the search was carried out through the combination of words "e-learning", "primary student". Likewise, the search filters were applied: Open access and the temporal criteria of 2019-2022, giving a total result of 39 studies that were exported in the Bibtex format for later reading with Cran-R; After applying the inclusion and exclusion criteria, 30 articles were selected as part of the review. Among the results, it was identified that 2021 and 2022 were the years with the highest scientific production. Regarding the productivity of authors, it was found that 3 authors have presented a continuity with the topic studied. On the other hand, the relationship between the keywords of the author, the authors and the affiliations included was interpreted. The frequency of words showed that the keywords with the highest index are "constructivist web-based learning" and "critical thinking". The countries with the highest production were Indonesia and China. The citations were then analyzed, and the studies with the highest citation index present (n=31) and (n=10).