Reviewerly/exHarmony huggingface dataset:
The Effectiveness of Digital Literacy in Economic Learning

The purpose of this research is to increase studentsâ€™ economic learning interest and outcomes using digital literacy technology, such as Sparkol Video Scribe (SVc) and media chart (MC). This is an experimental research comprising of the control and treatment classes with international trade discussed as a sub-topic of the economic material. The learning activities method used the ADDIE model. While, the research subjects are high school students in Central Java. N-Gain model was used to determine the most effective level of analysis as well as the modification and path analysis. The main results showed that the application of SVc and MC learning models can attract students' interest in economic learning well. Although the SVc application was not effective in improving their overall performance, the MC literacy model was still effective. However, students' interest in learning about the second model has not been able to improve its performance significantly. The results further showed that the digital literacy method was not always able to improve student learning and performance effectively and efficiently.
Developing Teaching Materials of Indonesian Food Subtopic Tengger Ethnic Cuisine by Using Online Platform Model as Implementation of Blended Learning and Potential to Support Tourism Promotion of Bromo Tengger Semeru National Park

Tengger ethnic cuisine is not yet widely known.To understand the concept of local knowledge and it's related in local food cultures, it needs to be taught formally in school's culinary roles and functions in shaping the culture of ethnic Tengger.It also enables to support ecotourism promotion in the case of ethnic culinary aspects.This paper presents an enrichment of teaching materials in Indonesian Food subtopic Tengger ethnic cuisine based on e-learning platform model.This study intends to identify the culinary competence development as a mediator effective learning Indonesian food through a combination of online learning and face-to-face.The development of teaching materials was formed in two models, which are the structured learning modules and online culinary learning; as implementation of online learning combined / blended learning that can be used in the development of learning tools providing the integration of face-toface direct and indirect.The research method employs the Research and Development model, with approaching technique refers to a modified Borg & Gall.Instruments of evaluation were adopted from LORI criteria for identifying the combination of online learning content from the subjects of Indonesian food.Research results show it was obtained the learning module that has been verified and meet the basic format containing description, learning materials, summaries, and evaluations.The second model was an online culinary learning platform, divided into Student account and Tutor/Teacher account.
Research on Strategies for Improving Academic Innovation Service of University Libraries Under the New Media Environment

With opportunities and challenges to academic information service of university libraries brought by the new media age, how to effectively use new media to provide users with high-quality academic information service has become an urgent problem to be solved in the field of library.Based on this, this paper explores the innovative service mode of university libraries under the new media environment, and seeks strategies and ways to improve the academic information service quality of university library.From the perspective of user needs and service methods, this paper discusses the various types of user needs and different service modes of university libraries under the new media environment.It analyzes the academic innovation service model of university library embedded in the process of scientific research from the aspects of the connotation and characteristics of service model and specific process of service.Starting from the service subjects, users, academic information resources, new media platform and service environment of university libraries, this paper puts forward corresponding countermeasures and suggestions for academic innovation service of university libraries under the new media environment.
A Novel Method of Archaeological Bronze Identification - Electromagnetic Signatures &amp;lt;i&amp;gt;vs&amp;lt;/i&amp;gt; Chemical Composition

Bronze metallurgy was a significant step in human technology and civilization as societies evolved from the Neolithic to the Bronze period and acquired the ability to shape different metals into useful tools.The technology to work with copper and bronze was independently developed across the world and, due to different smelting techniques and local ore chemistry, metal ware developed in different regions of the world at various time periods have unique chemical profiles.We previously developed a technique to identify metal alloys based on their stimulated dynamic magnetic signatures.We demonstrated that metals of different chemical composition would exhibit different electrical conductivity, and thus different magnetic field strengths when evoked by different levels of electric current.We further demonstrated that the electromagnetic signatures could be detected by the internal magnetometers located inside most smartphones as a part of the internal compass.In this manuscript we have compiled the electromagnetic signatures and magnetic force vectors of different copper alloys in various electromagnetic fields.The database of signatures are cross-referenced to chemical composition and tensile strength such that one can quickly compare the magnetic signatures of any unknown copper and bronze artifact and arrive at a tentative identity of the metal artifact.
Development of Applications for Simplification of Boolean Functions using Quine-McCluskey Method

Purpose: This research makes an application to simplify the Boolean function using Quine-McCluskey, because length of the Boolean function complicates the digital circuit, so that it can be simplified by finding other functions that are equivalent and more efficient, making digital circuits easier, and less cost.Design/methodology/approach: The canonical form is Sum-of-Product/Product-of-Sum and is in the form of a file, while the output is in the form of a raw and in the form of a file. Applications can receive the same minterm/maksterm input and do not have to be sequential. The method has been applied by Idempoten, Petrick, Selection Sort, and classification, so that simplification is maximized.Findings/result: As a result, the application can simplify more optimally than previous studies, can receive the same minterm/maksterm input, Product-of-Sum canonical form, and has been verified by simplifying and calculating manually.Originality/value/state of the art: Research that applies the petrick method to applications combined with being able to receive the same minterm/maksterm input has never been done before. The calculation is only up to the intermediate stage of the Quine-McCluskey method or has not been able to receive the same minterm/maksterm input.
Features of Monetization in Top Rated Russian Media

The article examines the features of monetization in top rated Russian media. These appear to be media enterprises focused on obtaining possible profits from their activities, since today information has turned into a commodity. Taking into account that the sphere of media business does not quite fit into the traditional understanding of economic processes, it is important to clarify how information differs from ordinary goods and whether public and market interests can harmoniously exist in the modern media industry.
Implementation of AES-192 Cryptography and QR Code to Verify The Authenticity of Budi Luhur University Student Certificate

Nowadays a letter can easily be falsified and used for things that are not appropriate. Budi Luhur University has a work unit that serves student requests for certificate of active students and certificate of graduation. Students need that certificate for apply a job or get a scholarship. To prevent the falsification of letters, a system using PHP programming language and MariaDB database was used to verify the letters. The certificate released by this system will be equipped with a QR Code containing the URL with parameters that have been encrypted with the cryptographic method AES-192. If accessed, this URL will display the data number, name, letter number and date of the letter. The recipient letter can verify the authenticity of the letter by comparing the data in the letter with the data in the system. If the two data are the same, the letter is the original. Based on test results, this system can be used to guarantee the authenticity of a letter.
Playable Personas: Using Games and Play to Expand the Repertoire of Learner Personas

This article explores how playing and co-creating games in higher education contexts contributes to expanding learner personas and facilitating a multimodal learning experience. Working from the interdisciplinary perspectives of media/games studies, pedagogy, and linguistic anthropology, we conceptualize in-class learning as the making and playing of games, reporting on game experiments and playful practices targeted at learning key theoretical concepts in our disciplines. Game-based modifications to established educational practices involved: replacing lectures with Educational Live Action Role Play (Bowman 2014) sessions, using acting/performance games (Flanagan 2009) to critically reflect on ideas of community and collective identity, and introducing Twine (Werning 2017; Wilson &amp; Saklofske 2019) to defamiliarize the expected structures and media modalities of academia. Based on evidence from participant reflections and classroom ethnographies, we argue that games can serve as a resource for extending the expressive spectrum of learner personas, for enabling embodied, participatory learning of theory, and for empowering students and educators to reflect on our internalized rules of the game of education.
A Large-Scale Collection Review with Faculty Collaboration: A Comprehensive View

Villanova University’s Falvey Memorial Library developed a multiyear comprehensive and strategic collection review of print monographs. In this paper, the authors focus on the operational components of the project, such as generating potential deselection lists with GreenGlass, convening working groups to plan the project, developing strategies for faculty outreach and faculty collection review, and analyzing deselection and retention data. The authors share decision-making processes as well as lessons learned that were involved in the project design and implementation phases throughout the extensive collection review project.
Analisa Topik Pendidikan Dalam Al-Quran dengan Pendekatan Text Mining

Education is one of the sciences that makes humans much better by learning various scientific disciplines. Al-Quran is one of the sources of knowledge that is believed by Muslims around the world. Because technology has penetrated almost every domain of our lives , including the world of education. Thus, the authors make technology as tool for researching educational topics in Al-Quran by implementing text exploration .The research was carried out by making some basic words that were related to the subject of education as the keywords in this study. The keywords are “Ajar”, “Bicara”, “Cipta”, “Dengar”, “Ingat” and “Lihat”. Then, the authors implemented the Naïve Bayes Classifier algorithm. To test and evaluate the results, the author used two methods, i.e. recall and precision. The study results are the keyword “cipta” by 3.05 %, “Ingat” 2.25 %, “Ajar” 1.96 %,“Lihat” 0.82 %, finally “Dengar” 0.62% and “Bicara” 0.34% with total weight of 3,516 words that have been filtered. The overall percentage of the results is 9.04% of the total number of words 38,761 in the Al-Quran. For the Naïve Bayes algorithm evaluation method, the recall and precision scores are 0.605 and 0.366, respectively.
Coaxiality of Stepped Shaft Measurement Using the Structured Light Vision

A method is proposed to measure the coaxiality of stepped shafts based on line structured light vision. In order to solve the repeated positioning error of the measured shaft, the light plane equation solution method is proposed using movement distance and initial light plane equation. In the coaxiality measurement model, the equation of the reference axis is obtained by the overall least square method through the center point coordinates of each intercept line on the reference axis. The coaxiality error of each shaft segment relative to the reference axis is solved based on the principle of minimum containment. In the experiment, the coaxiality measurement method is evaluated, and the factors that affect the measurement accuracy are analyzed.
A systematic mapping study of security, trust and privacy in clouds

Cloud computing thrives around trust and security in the relationship between cloud providers and users of their services. The objective was the conduct of a systematic mapping study of cloud computing security, trust and privacy. The research was executed using three classes of facets, namely topic, contribution, and research based on the systematic mapping process. The result shows that privacy issues and challenges on metric had 4.76% of the publications. On cloud trust in the domain of tool, the publications were 8.75%. The publications on design within the domain of model stood at 12.38%, and publications on privacy issues and challenges in the area of process were 8.57%. Furthermore, there were more articles published on privacy issues and challenges within the domain of evaluation research with 10.43%. The publications on design based on validation research made up 7.83% of the study. More papers were also published on frameworks and techniques within the domain of solution research with 5.22% each. There were more articles published on privacy issues and challenges with regards to philosophical research with 4.35%. Shortcomings in the fields of security, trust and privacy in the cloud, were identified through this study, which should motivate further research.
Plagiarism Detection in Armenian Texts Using Intrinsic Stylometric Analysis

In this work we study the application of intrinsic stylometric methods to the task of plagiarism detection in Armenian texts. We use two task setups from PAN’s series of conferences on text forensics and stylometry: style change detection and style breach detection. Style change detection aims to determine whether the text is written by more than one author, while style breach detection detects the boundaries of stylistically distinct text fragments. For these tasks, we generate synthetic test sets for three genres of text: academic, literature, and news, and then use them to evaluate the effectiveness of hierarchical clustering and other relevant models from PAN conferences. We employ a standard set of character-level, lexical and readability features, and additionally perform morphological and dependency parsing of text fragments to extract syntactic features encoding author style information. The evaluation results show that the clustering-based approach fails to correctly detect style change detection in longer texts and is only marginally better for shorter texts. For style breach detection, hierarchical clustering-based approach performs better than a random baseline classifier, but the difference is not sufficient to warrant its practical use. In a complementary experiment, we show that reducing the number of features and multicollinearity in them via PCA helps to increase the precision of style breach detection methods for certain text categories.
Musical Heritage of the Pereyaslav Collegium

This article is an interdisciplinary study that aims to form a comprehensive view of music and church singing both in the educational process of collegium students and outside it. Thanks to the historical sources involved, we were able to clarify the mechanism of functioning of church singing both in the collegium and at the stage of primary (preparatory) education of future students, as well as its role in the life of collegium graduates who made careers in the major vocal chapel of the Russian Empire. The preparatory stage for the future students was studying in parish schools, where an obligatory discipline was irmoloinyi singing. It is probable that in the 18th century, the teaching of singing in the collegium was carried out in the primary classes, where Church Slavonic literacy was studied at the same time, and in the first years of the 19th century musical singing was officially reflected in the name of a separate class. All students of the collegium underwent compulsory liturgical singing practice. The most gifted of the students were members of the Episcopal Cathedral Vocal Chapel. The students of the collegium were not limited to singing only in the cathedral; they also sang during the festive processions, during the begging, as well as in the parish churches during the holidays, where they also taught church singing. Among the music books, we know for sure about several Irmologions that were used in the collegium. From the memoirs of an eyewitness of the first third of the 19th century, we learn about the singing of hymns during public exams, as well as the singing of vocal concerts during the traditional holiday greetings to the Bishop, Rector, and Prefect of the seminary. It was noted that this tradition existed in the last quarter of the 18th century. Such a practice did exist at the same time in Kyiv-Mohyla Academy, so this evidence seems plausible. The only evidence of the use of musical instruments among the students of the Pereyaslav Collegium comes from the descriptions of the May recreational festivities, when both vocal and instrumental ensembles from among the pupils were heard.
Students' Anxiety Levels During Online Learning During the Covid-19 Pandemic

The Covid pandemic has a major impact on various fields, one of which is in the field of education. Currently, all sectors in the education sector are experiencing a period of adaptation in the implementation of the teaching and learning process. The teaching and learning process carried out online has several impacts, one of which is the anxiety experienced by students. The purpose of this study was to describe the level of anxiety of students during online learning during the Covid-19 pandemic in senior high school students. This research uses the descriptive qualitative method. Data analysis was performed using analysis from various scientific articles. The results showed that the level of student anxiety during online learning during the Covid-19 pandemic was different. This is due to the factors behind it, such as students' understanding of the material provided by the teacher, availability of internet network use, adequate facilities and infrastructure for taking part in online learning and the time for completing assignments which according to some students tends to be short.
Summary of the International Conference on Software andSystem Processes (ICSSP 2018)

The International Conference on Software and System Processes (ICSSP), continuing the success of Software Process Workshop (SPW), the Software Process Modeling and Simulation Workshop (ProSim) and the International Conference on Software Process (ICSP) conference series, has become the established premier event in the eld of software and systems engineering processes. It provides a leading forum for the exchange of research outcomes and industrial best-practices in process development from software and systems disciplines. ICSSP 2018 was held in Gothenburg, Sweden, 26-27 May 2018, co-located with the 40th International Conference on Software Engineering (ICSE). The theme of ICSSP 2018 was studying \Demands on Processes, Processes on Demand" by recognizing the demands on processes that include the need for both well-developed plans and incremental deliveries (agile and hybrid processes), utilization of increased automation (model-based engineering and DevOps), higher degrees of customer collaboration, comprehensive analysis of existing products for reuse (open source and COTS), and performance requirements of enterprise-level architectures. Papers presented at ICSSP discussed these issues across di erent domains, providing concepts, evidence, and experiences.
Are pure mental states conceivable?

The article gives critical objections to the minimal dualism argument proposed by Bogdan Faul. It is demonstrated that the method of introspection used by B. Faul in his article in order to explain subject’s access to their own mental states undermines the validity of the proposed argument
An orthogonal facial feature learning method based on convolutional-deconvolutional network

In facial image analysis, the identity and expression are two important features which are related to face recognition and facial expression recognition tasks. The traditional supervised orthogonal facial feature learning method can learn both features jointly once the emotion and identity labels are given. Its application scope is limited by the high data requirement. In this paper, we propose a new method which is a united framework of joint facial feature learning with lower data requirement. It is based on the assumption that there are only two variations in the face space, i.e., the identity and the emotion. By combining reconstruction loss, classification loss, and correlation minimization loss, we use the deep convolutional-deconvolutional neural network to learn and extract identity and expression features from the aligned facial image. The classification loss learns the expression feature. The correlation minimization loss keeps the two features independent of each other. The reconstruction loss confirms the information completeness of the face. When the identity label is missing, the proposed method can learn the identity feature based on the expression labels. By this means, the new method is a kind of unsupervised facial feature learning. It relieves the limitation of the existing method, extends the application scope. The proposed method is evaluated on the large-scale synthesized facial expression dataset and the constrained Radbound face dataset (RaFD) dataset. The Euclid distance in the identity feature space is used for facial recognition task in which the performance of the proposed unsupervised facial feature learning is close to some supervision ones including the joint Bayesian face method. Our method relieves the requirement of identity label in the previous supervised version to get a wider application scope.
An Innovative Mechanism of Blockchain Technology on Joint Governance Model

Joint prevention and control is a social organization model dealing with the governance of public health and security incidents. The governance modelsshould have the features of multiple subjects co-governing and distributed cooperating. Their purposes are to solve and improve the governance efficiency of dealing with public health and security incidents at the executive level. However, there are still many deficiencies in the current data governance and collaborative governance of joint prevention and control systems, which are mainly reflected in incomplete data collection, unimpeded data sharing, inflexible collaborative cooperation, and inadequate collaborative supervision. Therefore, a new innovative governance model is urgently needed. Blockchain technology is suitable for implementing multi-party data sharing and cooperation, and at the same time, it supports penetrating supervision and management. This paper studies the blockchain model for joint governance of public health and security incidents. It focuses on the multi-agent collaborative prevention and control governance model, which provides a new opportunity for model innovation in data governance and in cooperative governance.