Reviewerly/exHarmony huggingface dataset:
Transforming TEI Manuscript Descriptions into RDF Graphs

This paper reports on the transformation of the Bodleian Library’s online medieval manuscripts catalogue, based on the Text Encoding Initiative (TEI) Guidelines, into RDF graphs using the CIDOC-CRM and FRBROO ontologies which enable integration of datasets. The catalogue uses the “Manuscript Description” section of the TEI Guidelines to encode entries which were originally published in printed form, but also incorporates amendments and additions from unpublished documents prepared in the Bodleian Library. The transformation of this catalogue has required the development of processes to extract the relevant elements from the TEI XML documents, assemble these extracts into a new XML file, and match the various elements and attributes to CIDOC-CRM and FRBROO entities and properties which can be expressed as RDF triples and incorporated into graph databases. As a result of this work, information from the manuscripts catalogue has been ingested into Linked Data graph databases developed by two Oxford projects: (a) OXLOD, a pilot project on Linked Data in Oxford which brought together data from a range of Oxford’s cultural institutions, and (b) Mapping Manuscript Migrations, an international project designed to track the ownership and provenance of medieval manuscripts using data from several databases related to manuscript history (Burrows, Hyvonen, Ransom and Wijsman, 2018). The specific aims of these two projects are somewhat different, and their technical infrastructure also differs: OXLOD used the ResearchSpace software developed by the British Museum and Metaphacts (Oldman and Tanase 2018), while Mapping Manuscript Migrations uses Fuseki SPARQL servers combined with a customized environment built with React and NodeJS (Hyvonen et al. 2019). But the projects share a common methodology which relies on mapping to RDF and Linked Data to integrate heterogeneous datasets relating to cultural heritage objects.
Efecto de un programa de Educación emocional en clima social de aula

One of the areas where the greatest benefits are found after emotional education program interventions is that of positive adolescent development and in reducing situations of peer abuse and violence. This communication presents the results of the evaluation of an emotional education program aimed at students in relation to their impact on the social climate of the classroom. The program promoted the development of emotional competence following the pentagonal emotional competency model (Bisquerra y Perez-Escoda, 2007), where 5 competencies are contemplated: emotional awareness, emotional regulation, emotional autonomy, social competence and competences for life and well-being. A quasi-experimental pretest posttest design was used, with a non-equivalent control group. 143 students from two educational centers in San Sebastian participated in the experience, belonging to three educational courses: 6th grade of Primary school, 2nd and 4th grade of Secondary School. The program was designed with a total of 56 activities and was applied in the tutoring space, during a school year. To assess the effect of the program on the social climate of the classroom, the social climate of the classroom (CES) scale, designed by Moos and Trickett (1995), was used. The results of the contrast of means (Student's t) confirm a significant improvement in the experimental group in the dimensions aid and innovation, while in the control group an improvement was observed in one dimension, the so-called clarity. These results allow us to conclude that the emotional education program had a positive impact on the improvement of the classroom's social climate.
Realization of UAV Routing Protocol Evaluation System Based on Game Theory Comprehensive Weighting

Aiming at the issue of the selectivity of routing protocols between UAV groups, a comprehensive weighting evaluation system based on game theory is proposed.Taking network simulation data as an example, three protocols, AODV, DSDV, and OLSR, are selected as the research objects.The results show that the DSDV protocol is suitable for the simple communication environment between UAV groups, the AODV protocol is suitable for the complex communication environment between UAV groups.In addition, the evaluation system is compared with the two evaluation systems of the Covariance Analytic Hierarchy Process (Cov-AHP) and the entropy method to calculate the relative deviation.The comparison results show that the new evaluation system is more reasonable than the other two evaluation systems.
PENERAPAN METODE DESAIN SPRINT PADA SISTEM PENDISTRIBUSIAN DAN PENGADAAN BARANG MENGGUNAKAN MOBILE

CV Ra'Abas Bandarlampung is a trading business engaged in the distribution and procurement of goods that distributes its merchandise to customers. Problems that exist in the distribution process, namely the manufacture of sales notes and invoices for delivery still done manually, namely by writing on notes and invoices for delivery of goods to be given to customers so that it slows down employee performance. The sprint method is a method for building product concepts and prototypes within 5 minutes. a day where it has 5 very communicative and interactive stages to bring out all ideas, inspiration, creativity, existing problems.. The next stage is to make a sketch of the application to be built, the sketch made is a sketch for the login display, dashboard, customer data, goods data, supplier data, procurement data, receipt data, and goods distribution data. The next stage is to make a decision from the previous stage by determining the results of the sketch that has been made from the procurement and distribution system of goods that can overcome the problems that occur in CV Ra'Abas.
FPGA Implementation of Masked-AE$HA-2 for Digital Signatures

Digital signature (DS) is preferred to adopt in wireless networks to enhance digital authorization. It includes asymmetric and hash functions are the crypto algorithms for transferring the data between the public (open network) and private (secret or closed network) domains with proper digital authentication. Hash functions are the best choice for generating the digital signatures in an open-wireless sensor network. Here, the generated signature will be transmitted along with the original data and it will be verified at receiver end to ensure the authentication has been successfully established. These hash functions are prone to advanced attacks such as SCA, birthday and pre-image collision. Therefore, to tighten the security strength of a wireless sensor networks, a hybrid hash function has been proposed. This hybrid hash function includes masked Advanced Encryption Standard (AES-256) followed by secure hash algorithm (SHA 256) as Masked AE$HA-2. The Masked AE$HA-2 has been implemented on Virtex 7 device with help of Xilinx Vivado tool. It achieves lowest computational time around 680ns for generating the output digested value when compared to other existing individual architecture.
Frame determinism of artistic narrative

The article presents the results of a study undertaken to study the nature and degree of determinism of the plot semantics of artistic narrative by frame structures that serve as the basis of this narrative. The research focused on questions about the properties of frames that predetermine the deployment of narrative (determinant frames); questions about the nature of the connection between plot-forming frames (interframe transitions); questions about the nature, perspective and degree of imperativeness of the constraints imposed by the determinant frames on the deployment of the narrative. It is concluded that the frame as a meaningful unit of the meaning of the text has prospective semantics, from which it follows that any frame that forms the main storyline in the narrative prescribes each functional component of its composition, first of all, the first and second terms, predicates and basic sirconstrants, defined trajectories of further existence in the plot. The assumption is confirmed that the organization of artistic narrative is determined by both superframes-determinants and superstructures that form thematic sequences of macrostructures. The experience of constructing a graphical two-level model of the frame semantics of artistic narrative is presented, the comparison of this model with the representation of the frame in the FrameNet system is carried out. It was also concluded that the systematic and consistent description of the plot-content semantics of the narrative as a kind of literary text requires the same consistent and systematic description of the semantic-syntactic frames that form this semantics. In the systematic description of the frame semantics of narrative, special attention should be paid to predicates of nuclear propositions, since it is their semantic valences that determine the filling of the terminals of semantic-syntactic frames and their description gives explanatory power to the description of the semantic structure of frames. The authors see the prospect of the research in the systematic description of the frame semantics of the narrative with the involvement of the resources of the FrameBank project.
Strategies in Conditional Narrowing Modulo SMT Plus Axioms

Narrowing calculus that uses strategies to solve reachability problems in order-sorted rewrite theories whose underlying equational logic is composed of SMT theories plus some combination of associativity, commutativity, and identity. Both the strategies and the rewrite rules are allowed to be parameterized, i.e., they may have a set of common constants that are given a value as part of the solution of a problem. The soundness and weak completeness of the calculus are proved.
OS DESAFIOS DA EQUIPE DE ENFERMAGEM NO PROCESSO DE TRABALHO NO ENFRENTAMENTO DO SARS-COV-2

The Nursing Care Systematization (NCS) is a scientific methodology that organizes the entire instrumentation and operationalization of the nursing process, providing some improvement in the quality of care provided to the patient through individualized planning in nursing actions developed by professional nurses.It allows sustaining the management and care in the nursing process, ensuring the continuity and comprehensiveness of systematized and humanized care with greater security in the surrounding care practice.This work has a qualitative approach based on the results of a scientific literature review.Thus, it is emphasized that the role of the nurse is fundamental from the development of the NCS to the implementation and evaluation of its functionality in a special care unit.This process offers nurses autonomy, organization, individual care, humanized, qualified, integrated care, better safety, because the records guarantee technical and legal support.It is also relevant for the valuation of the
Diagnostic Test Of Frozen Section Histopathological Preparations Against Gold Standard Histopathology Of Paraffin Block In Breast Tumor

When it comes to examining the anatomical pathology of breast tumors, paraffin block histopathology is the gold standard. This examination has the disadvantage of taking a long time. One of the examinations that can diagnose breast tumors quickly is frozen section histopathological examinations which is often used by clinicians as a guide during surgery. In order to evaluate an examination, a diagnostic test used by comparing the results with a gold standard. This study aims to compare frozen section histopathology results with the gold standard paraffin blocks. In this study, secondary data from medical records of patients with breast tumors who underwent frozen section histopathology and paraffin block histopathology examination is used to describe the findings of the research. A 2x2 cross tabulation was used to analyze the data for sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) in comparison with paraffin block histopathology, the gold standard inhistopathology. The results of frozen section diagnostic test are sensitivity is 85.71 percent, specificity is 100 percent, positive predictive value (PPV) is 100 percent, negative predictive value (NPV) is 66.67 percent, and accuracy is 88.89 percent. Frozen section histopathology has good diagnostic value and can be used to diagnose breast tumors well.
Pemanfaatan Media Pembelajaran Prezi Berbasis Cloud Pada Materi PAI Bahasan Abbasiyah

Advances in information technology are growing so rapidly loved in all lines of levels social. In the field of education, teachers should also participate and make use of information technology in improving the quality of the learning process. This study aims to determine how well the utilization of learning prezi cloud-based on the material PAI discussion of the Abbasids. Population in this research is students of class VIII SMPN 1 Cibungbulang with a total sample of 55 students. The data analysis technique used is descriptive Statistics. The results of the data analysis show that the value of the utilization of learning media prezi cloud-based on the material PAI discussion Abbasid amounted to 85.85% of the expected value.
Quantum Annealing Stencils with Applications to Fuel Loading of a Nuclear Reactor

A method for mapping quadratic unconstrained binary optimizations expressed as nearest neighbor stencils onto contemporary quantum annealing machines is developed. The method is shown to be scalable in providing higher utilization of annealing hardware resources than prior work. Applying the technique to the problem of determining an effective fuel loading pattern for nuclear reactors shows that densely mapped quantum stencils result in higher fidelity solutions of optimization problems then the sparser default solutions. These results are likely to generalize to quadratic unconstrained binary optimizations that can be expressed as dense quantum stencils, thereby improving optimization results obtained from noisy quantum devices.
Sistem Prediksi Keberhasilan Siswa Menggunakan Metode Nearest Cluster Classifier

According to present curriculum, every unit of elementary education conduct 4 (four) evaluation stages. The first stage is the first midterm evaluation which is done at the first quarter year. Second, the first semester evaluation is done at the second quarter year. Third, the second midterm evaluation is done at the third quarter year. The last is the second semester evaluation which is done at the fourth quarter year. The first midterm evaluation, the first semester evaluation and the second midterm evaluation are done to see the students’ ability in learning. Moreover, to determine the students’ success or failure in learning process at each grade is the score of the second semester which is compared to their minimum passing grade. If the students’ score is higher than the minimum passing grade decided, the students are determined to be successful. In contrary, if the students’ score is lower than minimum passing grade, they will be determined to be failed in learning process.by considering the above condition, the writer is interested in designing a system which can predict the potential failure of students earlier. This system is built by analyzing the first midterm score, the first semester score and the second midterm score by using Nearest Cluster Classifier (NCC) Method. By the result of this prediction, parents and teachers still have time for about 3 months to help and guide students who are predicted to be potentially failed in learning process.
Whatsapp Voice Note for Teaching Speaking to the Seventh Graders in the Pandemic Era

Some problems occur in the teaching and learning speaking to the seventh graders in the pandemic era in Indonesia. The first cause is the fact that for the seventh graders, it is their first experience in learning English formally at school since they have not learned English when they were in the elementary school. Then, the students do not have sufficient internet quota and signal. Moreover, the students also have not been digital literate yet in operating the Learning Management System. One of the solutions offered is by using the online media which is most familiarized by students, such as Whatsapp Voice Note. This study is aimed to find out (1) the students’ perception on the use of Whatsapp Voice Note in teaching and learning speaking to the seventh graders and (2) can Whasapp Voice Note improve students’ participation in the teaching and learning process. The descriptive qualitative is applied as the method of this study. The instruments are survey, interviews, and observation. The result shows that (1) the seventh graders students prefer to be taught the speaking skill by means of Whatsapp Voice Note and (2) by using Whatsapp Voice Note, most of the students are able and eager to participate more in the teaching and learning process.
SISTEM INFORMASI SANTRI DI PONDOK PESANTREN DARUL MUHTADIIN

Darul Muhtadiin Islamic Boarding School is an Al-Qur'an and Yellow Book Education Park. The problems that exist today are the storage, processing, and delivery of information that occurs in this Darul Muhtadiin Islamic boarding school, which includes student data, ustadz data, student scores, and subject scheduling which often occurs because of data duplication because the data that has been processed is not organized properly. good. The purpose of this study is to identify user needs for input, process and output to produce an information system to support the Darul Muhtadiin Islamic boarding school. The research approach used in this research is observation, data collection, system analysis and design, application development and implementation. The analytical tool used is Data Flow Diagram (DFD). The programming language used is PHP and the database uses MySQL. This research produces a Web-Based Data Processing Information System, which is expected to be more time efficient, especially in processing students' grades and making it easier for parents or guardians of students to monitor the progress of their children's grades.
Issues of Remote Teaching of Technical and Criminalistic Means of Evidentiary Information Collection

Purpose. To formulate the problem and identify ways to improve the quality of distance learning in technical and forensic methods of collecting evidentiary information. Currently, there are serious difficulties in teaching these techniques due to the limited possibilities of using traditional methods of visualization in the presentation of technical and forensic recommendations and direct control over the correctness of their implementation. This significantly reduces the effectiveness of conducting classes remotely. Methodology: forensic technology as a branch of criminology, pedagogy, psychology. Results. The distance form requires the adjustment of traditional methods and means of teaching technical and forensic techniques, wider use of the possibilities of computer technologies to increase the visibility when demonstrating these techniques, as well as for practical mastery of them by students. Discussion. The discussion and further development of the problems raised in the article will contribute to the development of the theory and practice of distance learning in forensic technology, both in the field of criminology and in other academic disciplines. The article contains specific proposals for the development of technical and forensic techniques that can be used in the educational process.
Implementation of Canvas Learning Management System using Google Cloud

Abstract. The use of web Learning Management System (LMS) software is often used in schools and universities as online learning. Some of the LMSs that are often used in Indonesia are Moodle, Blackboard CourseSites, Schoology, Latitude Learning, Academy Of Mine, and so on. Apart from the software side, there are also other considerations from the hardware side, because the use of LMS the load on the server becomes very high. The use of cloud computing may be a solution because it is more flexible if you want to increase server capacity. This article will provide how to start using cloud computing and installing Canvas LMS. The superior features, shortcomings, and costs of the LMS are also discussed as reference material when implementing the LMS. Canvas LMS can be used either as online learning in schools or universities, as well as an education-based startup development innovation in Indonesia. Given the importance of educational-based startup applications, examples that exist now are RuangGuru, PesonaEDU, Zenius, Kelase, and so on. One of the paid online applications that already running well is Ruangguru. Ruangguru provides interesting learning material features and is accompanied by interactive learning videos. The added value of developing such LMS-based applications in our own institutions is that it can be adjusted to the curriculum, schedule, and conditions of our own institutions so that this can be an added value and competitiveness of educational applications such as Ruangguru.
Komparasi Performansi Algoritma Naive Bayes dan Logistic Regression pada Malware Android

Currently, Indonesian people have used Internet technology for various needs. Starting from transportation, shopping to the world of education using the Internet. Equipment in accessing the Internet varies, ranging from computers, laptops to communication devices such as mobile devices. Currently, mobile devices that are quite widely used by the public are mobile devices based on the Android operating system. In this situation it encourages certain parties to take advantage of loopholes to seek profit, one of which is the creation of Malware. In addition, developments in the field of artificial intelligence are currently very advanced and encourage many researches in various fields to use it. This situation makes researchers focus on malware analysis by utilizing artificial intelligence technology. The purpose of this study is to analyze Android APK files by classifying the Malware family. Performance and accuracy measurements will also be presented in a comparison between the Naive Bayes algorithm and the Logistic Regression algorithm. The method used is Supervised Learning classification, using Naive Bayes algorithm and Logistic Regression. Everywhere both methods are Machine Learning algorithms and part of artificial intelligence.
Prediction System of The Number of Receiving Police Members Using The Method Analysis of Variance (Anova) (Study Case: Polda Sumut)

The number of police recruits in North Sumatra is an event that can provide opportunities for the Indonesian people to be able to achieve their goals of becoming a police officer, because being a police officer is a dream that many people want, because the task of a police officer is very noble because the task The police is to protect and serve and protect the community. In this study, a prediction system will be made to find out how many police officers receive each year. The object of this research is the North Sumatra Police Chief. This study uses the Anova method, namely the two way ANOVA procedure which is classified by using statistical product and service solutions (SPSS) version 16 to determine the acceptance of prospective members of the police from year to year. One of the supporting factors in the acceptance of prospective members of the police is the ability of the intelligence level of prospective members to be seen from year to year.