Reviewerly/exHarmony huggingface dataset:
Visual Analysis of The Research Hotspots, Frontiers and Trends of Chinese Opera From 2011 To 2020

Chinese opera is one of the three primary theater cultures globally, and sorting out its research hotspots and development trends has essential reference significance for the subsequent practical exploration and theoretical research of Chinese opera. This paper applies the CiteSpace visualization software to conduct a scientific quantitative analysis of 5315 articles on Chinese opera in the CSSCI database from 2011 to 2020. The study finds that the core authors’ research fields significantly influence the hotspots and trends in Chinese opera research by analyzing the knowledge structure graph. The core institutions are mainly concentrated in universities and art research centers. However, the cooperation between scholars is relatively weak, and the collaboration between institutions also needs to be strengthened. In the past ten years, the hotspots of Chinese opera research can be roughly summarized as the art of opera, traditional opera, opera artist Mei Lanfang, the transmission and protection of opera. While the frontier of Chinese opera research is modern opera, the latest trend is opera in Qing Dynasty, modern opera, and opera education.
Secondary data

Secondary data is data which has been collected by someone else, for a purpose other than a researcher’s own research or evaluation project, and has been made available for re-use. Due to great efforts to make data available to the public, there is now a huge amount of secondary data freely available online, and more is being added all the time. Secondary data is also held in libraries, museums and archives. This chapter explains the advantages and disadvantages of working with secondary data and shows how to find online data sources. It provides information about open data worldwide and looks at application programming interfaces (APIs). It discusses large-scale and international surveys, alongside examples. It includes advice on working with secondary data and concludes with an update of the case studies followed by exercises, discussion questions and a debate topic.
Cloud Computing Security

bstract: Cloud computing environment is a new way in which web base enable applications provide as a service for the users with low computational cost through internet. As we store data and it also provide services in distributed environment. Cloud ease its users byproviding virtualization technology of resources through internet. Cloud computing is the emerging field, due to this reason the various new techniques are still developing. At current scenario new security challenges were increases for cloud professionals. Due to lack of security in cloud computing environment user of cloud lost it trust in cloud. Multi-tenancy, elasticity, Security Performance and Optimization, etc. are various security issues in cloud computing. In this paper we will discuss some of the issue incloud. This paper also discusses some of the existing security technique for securing a cloud and help researchers and professionals to know about various security threats
Blockchain in education

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Akanksha Jangid, Kanchan Patil; Blockchain in education. AIP Conference Proceedings 30 January 2023; 2523 (1): 020096. https://doi.org/10.1063/5.0110211 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Applying the Interpretive Equation to facilitating cultural experiences for audiences with special needs in the digital environment

The ERASMUS+ Higher Education Project AD HOC (92019-1-MK01-KA203-060269) introduced a new cultural heritage infrastructure for audiences with special needs.The main aim is to make accessible places of cultural significance by facilitating cognitive-emotional experiences in the digital domain.A cognitive driven communication pattern has been developed and adapted to the conditions regulating learning in the informal environment.The pattern employs storytelling to decongest working memory from irrelevant cognitive loads, enabling new cognitive content to relate to prior knowledge.A mixed methodology has been applied merging the principles of hermeneutics, human cognitive architecture, instructional design and digital storytelling to effectively address the needs of audiences with special needs.
Analisa Deteksi dan Pengenalan Wajah pada Citra dengan Permasalahan Visual

Facial recognition is a significant part of criminal investigations because it may be used to identify the offender when the criminal's face is consciously or accidentally recorded on camera or video. However, a majority of these digital photos have poor picture quality, which complicates and lengthens the process of identifying a face image. The purpose of this study is to discover and identify faces in these low-quality digital photographs using the Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) face identification method and the Viola-Jones face recognition method. The success percentage for the labeled face in the wild (LFW) dataset is 63.33%, whereas the success rate for face94 is 46.66%, while LDA is only a maximum of 20% on noise and brightness. One of the names and faces from the dataset is displayed by the facial recognition system. The brightness of the image, where the facial item is located, and any new objects that have entered the scene have an impact on the success rate.
ANALYSIS OF STUDENT ACADEMIC ACHIEVEMENT LEVELS USING FUZZY LOGIC

The purpose of this study is to use fuzzy logic to analyze and retrieve data about student performance levels. This data will later be used to facilitate the analysis of the performance of SMP Negeri 5 Batusangkar students. Data for this study were obtained through observation and literature review from a variety of sources. The results of this survey analysis make it easier for teachers to analyze student performance without manual searches, and the ability to quickly process values ​​using the provided media such as Microsoft Excel, Access, etc. We provide accurate and accurate data. When judging the characteristics of a student's level of academic performance, she complies with the Order of the Minister of Education, Culture, Research and Technology (Permendikbudristok) No. 21 of 2022 on Educational Evaluation Standards. Analyzing student performance levels is performed using a fuzzy logic database by mapping student results based on variables. Ethics of use, knowledge and aspects of information (attitudes). This technique is tested using Microsoft Excel to query the designed data.
PELATIHAN PEMANFAATAN MEDIA DIGITAL (GOOGLE MEET) SEBAGAI PENUNJANG PEMBELAJARAN DAN KUALITAS PENYELENGGARAAN SEKOLAH DI SDN I SUKOREJO SARADAN MADIUN

&lt;p&gt;&lt;strong&gt;&lt;em&gt;Abstract.&lt;/em&gt;&lt;/strong&gt; &lt;em&gt;SDN I Sukorejo has done online learning but is still limited to using the WhatsApp application program. On the other hand, the free Google Meet application program allows active interaction between teachers and students that SDN has never used I Sukorejo teachers. This happens because these teachers have never practised/trained. Therefore, the lecturer of the UNIPMA physics education study program conducted training on the use of Google Meet for the teachers of SDN I Sukorejo for learning purposes and brave meetings. This Google Meet utnnnnnnnnn training is to support learning and improve the quality of school administration. After the training, the teachers of SDN I Sukorejo are ready to carry out lessons and meetings using Google Meet. Teachers are assisted by KKN students for two weeks, To ensure the success of the training. The impact of the training results will be measured at the following collaboration forum.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt; &lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstrak.&lt;/strong&gt; SDN I Sukorejo telah melaksanakan pembelajaran daring, namun masih terbatas memanfaatkan program aplikasi &lt;em&gt;WhatsApp&lt;/em&gt;. Program aplikasi gratis &lt;em&gt;Google Meet&lt;/em&gt; yang memungkinkan terjadinya interaksi aktif antara guru dengan siswa belum pernah digunakan oleh guru SDN I Sukorejo. Ini terjadi karena guru-guru tersebut belum pernah berlatih/dilatih. Oleh karena itu, dosen program studi pendidikan fisika UNIPMA melakukan pelatihan pemanfaatan &lt;em&gt;Google Meet&lt;/em&gt; pada guru-guru SDN I Sukorejo untuk keperluan pembelajaran dan pertemuan daring. Pelatihan pemanfaatan &lt;em&gt;Google Meet&lt;/em&gt; ini ditujukan sebagai penunjang pembelajaran dan peningkatan kualitas penyelenggaraan sekolah. Setelah pelatihan, guru-guru SDN I Sukorejo telah siap melaksanakan pembelajaran maupun pertemuan daring menggunakan &lt;em&gt;Google Meet&lt;/em&gt;. Untuk menjamin keberhasilan pelatihan, guru-guru didampingi oleh mahasiswa KKN selama 2 minggu. Dampak dari hasil pelatihan akan diukur pada forum kerjasama berikutnya.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;div id="gtx-trans" style="position: absolute; left: 303px; top: 401.544px;"&gt; &lt;/div&gt;
Normalisasi Saluran Drainase di Kawasan Pantai Marina Sebagai Upaya Pencegahan Banjir

Drainage is a basic facility that must be provided to meet community needs, so it’s very important in urban spatial planning. The benefit of building drainage is to prevent stagnant water so that it does not interfere with community activities. The condition of the drainage channels on Jalan Marina isn’t maintained because the dimensions of the channels are small and sedimentation occurs, causing silting of the channels. This causes floods that always occur every year. Re-dimension of the drainage channel was carried out because the initial dimensions could not accommodate the planned flood discharge. Some of data the basic for determining the re-dimensional drainage channels are rainfall data, sea tide data, and initial drainage channel dimension data. From the calculation results, the value of planned flood discharge is 172.634 mᶟ/s. So, the dimensions of the drainage channel are re-planned because the channel discharge value is smaller than the planned flood discharge value. The results of this study are that the planned flood discharge is greater than the drainage channel water discharge so that the initial channel dimensions cannot accommodate water. The results of re-planning the dimensions of the drainage channel based on the planned flood discharge value are h of 8.5 meters, b of 9.8 meters, and W of 2 meters. Re-dimensional planning of the drainage channel is fulfilled because Qs&lt;Qp (172.634 mᶟ/s &lt;227.103 mᶟ/s). This research is expected to provide dimensions of drainage channels that are in accordance with field conditions so that no more flooding occurs.
Usability Methodologies and Data Selection: Assessing the Usability techniques on Educational Websites

The purpose of an educational website is to efficiently provide up-to-date services and resources to students, faculty, and staff. However, the needs of university students are not always prioritized throughout the design phase of websites; instead, technological considerations, organizational concerns, and commercial goals may all drive the process. When it comes to meeting the demands of the target audience, website designers often fall short. At the same time, visitors may encounter a wide variety of usability issues while visiting the sites. Thus, the purpose of this study is to examine the efficacy of different approaches to evaluating the usability of university websites from the viewpoint of their target audiences via user-based testing and questionnaire methods involving actual users. The outcomes, which are based on data from tests conducted in real time, outline the difficulties and advantages associated with each strategy. Both a user-based test and a questionnaire, which are both trustworthy evaluation methodologies, were used in the process of analyzing and evaluating the websites.
Predicting Consumer Choice from Raw Eye-Movement Data Using the RETINA Deep Learning Architecture

Research has revealed the potential of recording people’s eye movements to characterize and predict their choice decisions. In this paper, we propose the use of a deep learning architecture, called RETINA, to predict multi-alternative, multi-attribute consumer choice from eye movement data. Unlike previous research, RETINA directly uses the raw eye-tracking data from both eyes as input. It combines state-of-the art Transformer and Metric Learning methods which capitalize on the key characteristics of the raw eye-tracking data. Using the raw data input eliminates the information loss that may result from first calculating fixations, deriving metrics from the fixations data and analysing those metrics, as has been previously done in eye movement research. While Deep Learning architectures often require very large data sets, using the raw gaze data allows us to apply Deep Learning to eye tracking data sets of the size commonly encountered in academic and applied research. Using a data set with 112 respondents who made choices among four laptops, we show that the proposed architecture outperforms other state-of-the-art machine learning methods (standard BERT, LSTM, autoML, logistic regression) calibrated on raw data or fixation data. The analysis of partial time and partial data segments reveals the ability of RETINA to predict choice outcomes well before a decision has been reached. We provide an assessment of which features of the eye movement data contribute to RETINA's prediction accuracy. We provide recommendations on how the proposed deep learning architecture can be used as a basis for future academic research.
Suggestions on the Cyber Resilience Application of Government-funded Institute

Due to the development of various IT technologies, the limitations of the existing prevention and investment-oriented information protection system are being discussed a lot.With the security technology-centered protection measures method based on the intrusion pattern known in advance,there is a limit to maintaining the continuity of the organization's work in the event of damage caused by intelligent and advanced cyberattacks.In reality, assuming the possibility of security incidents, there is a need for the ability to how quickly attacks and accidents can be detected and responded to in accident and disaster situations.Accordingly, research institutes such as government-funded need to introduce a new paradigm that incorporates the concept of resilience into IT operations and information security management system operations.In this paper, we would like to present the application method of cyber resilience based on ISO management system certification to the research institutes such as governmentfunded.
Bayesian Cnn Modeling Based on Latent and High-Level Semantic Concepts for Automatic Image Description

Automatic image annotation systems are employed to describe the content of images via tag assignment. Image description systems have had considerable advancements concerning the increasing growth of deep Convolutional Neural Networks. In the image description, one of the convolutional networks applications is making use of them as multi-label classification systems. The majority of image annotation systems using convolutional networks do not properly employ entire latent information in the tags. This study aims to add a latent variable to the multi-label classification problem using convolutional networks. Accordingly, Bayesian modeling is used for this purpose. Using high-level semantic concepts for breaking the general process of image description into smaller problems is an embodiment of the mentioned latent variable, such that each convolutional network is an expert in a particular concept tagging, being trained independently. In the end, to generate the final output, the results obtained from all convolutional networks are combined in weighted form. The proposed method's simulation results demonstrate that the convolutional network implementation on localized data via high-level semantic concepts enhances annotation accuracy. Besides, making use of a tag refining method on estimated tags has led the proposed method to be comparable with the latest and the most popular annotation systems.
Does Social Isolation Influence the Intention to Continue Online Learning in Higher Education?

The aim of this research is to understand university students’ satisfaction with classes offered online and their willingness to continue this form of remote learning based on one of their first involuntary experiences, combined with the extremity of social isolation during the COVID-19 lockdown. An exploratory approach was taken for this research, which utilised a self-administered online questionnaire to capture responses. A total of 383 usable responses from students studying in a large Western Australian university were collected and use for analysis. Results indicate that the postulated positive significant relationships between learner-content and learner-learner interaction, perceived utility value, satisfaction and continuance intention was supported. Practical implications are derived from the enhancement and augmentation of a better online learning experience for positive future continuance intention by students and strategies to reduce perceived social isolation through various student interactions.
Two New Modifications of the InterCriteria Analysis

In the present work two modifications of the InterCriteria Analysis are proposed in order to extend its theoretical foundation. The results obtained from the application of these methods over real data (from patients with prostate carcinoma) have been analyzed to determine the reliability of the calculated consonance and dissonance.&#x0D; The similarity scores obtained by the modified versions of the InterCriteria Analysis are close to those given by the classical InterCriteria Analysis, as well as to the values of the correlation coefficients between the considered criteria. This shows the reliability of the proposed modification with respect to determining the consonance and dissonance between criteria in different problems.
Assessment of Shaping Ability of One Curve Single-File in Comparison to Multiple-Files Protaper Next Rotary System. (A Comparative in Vitro Study)

Aim:The study attempted to evaluate the shaping ability of One Curve single file in comparison to ProTaper Next multiple-file NiTi in terms of transportation and centering ability in curved mesiobuccal canals of human extracted mandibular molars using CBCT scanning. Materials and Methods:Mesiobuccal canals of thirty extracted mandibular first and second molars with the angle of curvature ranging 20-45 ͦ (according to Schneider) were randomly allocated into two equal groups; One Curve (OC) and ProTaper Next (PTN) groups.Pre-and post-instrumentation CBCT imaging was performed to assess the centering ability and canal transportation of the tested instruments at 3, 5 and 8 mm from the apex. Results:Regarding the results of canal transportation and centering ability, there was no statistically significant difference mesiodistally among the two groups at 3, 5, and 8mm (P > 0.05). Conclusion:The canal transportation values of the two tested rotary systems are considered acceptable.Both of One Curve and ProTaper Next systems were not able to achieve perfect centering ability during root canal preparation.
Impact of Electronic Healthcare Records Usage on Healthcare Professionals’ Performance Among Jordanian Public Sector: A Conceptual Paper

Impact of Electronic Healthcare Records Usage on Healthcare Professionals’ Performance Among Jordanian Public Sector: A Conceptual Paper
Student Responses to Using Microsoft Teams in Online Learning at Elementary Schools

The research is based on student responses to online learning by the teacher using the Microsoft Teams application. This type of research is qualitative case study. The research subjects were 2 students in grade III. Data collection by questionnaires and interviews. Data analysis with data reduction, data presentation, and drawing conclusions. The results of the research on student responses in cognitive dimensions of understanding aspects: easy to understand the content of the material using the Microsoft Teams application, quickly understand the content of the material, easy to remember the material using the Microsoft Teams application through the file feature. Aspect of clarity: reading instructions for doing assignments clearly, prefers to work using the Assigment Feature. The affective dimension of the motivational aspect is always given a motivational sentence for doing assignments through the Microsoft Teams application by the teacher, doing assignments on their own and asking friends, doing quizzes on their own without asking their parents. Interesting aspect: interested in presenting material using the Microsoft Teams application, learning like face-to-face with classmates. Through the video conferencing feature. Curiosity aspect: asking the teacher using the Microsoft Teams application on a daily life event related to the subject matter. The conative dimension of the tendency aspect: tends to ask questions, pages, materials using the Microsoft Teams application, tends to ask questions via chat or video conferencing features.
臺中市國中生游泳學習成效與學習滿意度之研究

&lt;p&gt;目的：以臺中市國中生游泳學習為研究標的，游泳池為研究場域，藉以探討學習成效與學習滿意度之關係。方法：係參酌國內相關領域學者研究發展之量表，依研究目的所編修之「國中生游泳學習成效與學習滿意度調查問卷表」為研究工具。於2020年6月針對國中生進行立意抽樣問卷調查，共計發出550份問卷，回收有效問卷521份，有效回收率達95%。結果：(一)整體學習滿意度與學習成效構面皆趨於正向，且以「教師專業」與「技能學習」為最高。（二）國中生之性別在學習滿意度之「教師專業」上及學習成效之「認知學習」與「技能學習」上有顯著差異，且女生在教師專業上明顯高於男生。（三）國中生之年級在學習滿意度上有顯著差異，且3年級明顯高於1年級。（四）國中生之游泳能力在學習成效上具顯著差異。（五）國中生之學習滿意度與學習成效具有顯著關係。結論：建議游泳池經營管理部門應持續強化教練專業知能，同時精進學習環境、場地設施及課程安排，以提升學習滿意度與成效。&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Purpose: The purpose of this study was to investigate the latent relationships among learning satisfaction and learning effectiveness. Method: The researchers refer to the research and development scales of scholars, and the &amp;quot;Questionnaire for Swim Learning Satisfaction and Learning Effectiveness of Junior High School Students&amp;quot; compiled by the research objectives as a research tool. In May 2020, a questionnaire survey was conducted against junior high school students. A total of 550 questionnaires were sent out, and 521 valid questionnaires were recovered, with an effective recovery rate of 95%. Results: (1) The overall learning satisfaction and learning effectiveness tend to be positive that focus on &amp;quot;teacher profession&amp;quot; and &amp;quot;teacher profession&amp;quot; (2) The gender of junior high school students has significant differences in the &amp;quot;teacher profession&amp;quot; of learning satisfaction and the &amp;quot;cognitive learning&amp;quot; and &amp;quot;skill learning&amp;quot; of learning effectiveness. (3) The grades of junior high school students have significant differences in learning satisfaction. (4) The swimming ability of junior high school students has significant differences in learning effectiveness. (5) The learning satisfaction of middle school students has a significant relationship with learning effectiveness. Conclusion: It is recommended that the management department should continue to strengthen the professional knowledge of coaches, and at the same time improve the learning environment, venue facilities and curriculum arrangements to improve learning satisfaction and effectiveness.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;