Reviewerly/exHarmony huggingface dataset:
Gestão arquivística de documentos: o caso da editora da UFSC

This article deals with the implementation of the archival document management process at the Editora Federal University of Santa Catarina. Describes the practical application of document management steps in a case study. It presents as methodological procedures the exploratory and descriptive research, applied research with elements of case study and bibliographical and documentary research. It adopts the archival methodology in the implementation of the document management process and relies on the archival functions of: creation / production, classification, evaluation, description, acquisition, diffusion and preservation, contained in the three basic phases of document management: use and conservation, and the final destination. As a result, the document management processes performed at each stage are described and exemplified. It was concluded that the archival management of documents in a conventional medium was efficient, since it allowed the knowledge about the functions, activities and documents of the Publishing House, allowing the documents that needed to be selected and processed, as well as to proceed with the safe deletion of documents who had fulfilled their term of life. It leaves as a suggestion the continuity of the process, with elaboration of flowcharts of all the activities and the application in the documents in digital medium.
Teaching Lean with Virtual Reality: Gemba VR

Lean production is best taught on the factory floor. Yet, in higher education, it is almost exclusively taught in classrooms. We want to keep and proliferate the learning experience of exploring a real factory’s “Gemba” and, at the same time, to remove limitations to factory visits. Due to recent developments in virtual reality (VR) technologies, VR offers excellent opportunities to achieve this. In this paper, we present an innovative way to teach lean production with VR. We show how we implemented a solution to let students be immersed in the factories of Toyota, ABB, and other world-renowned companies without having to travel. We also report on our experiences and provide other teachers the information needed to adopt “Gemba VR” in their own teaching.
Training Of Information Technology In West Java Sumedang-Regional Library As An Effort On Digital Literacy Education

Background of the study: The Internet has become part of society's daily life. But the phenomenon shows that not all people are Able to use information technology and the Internet efficiently, and the information disseminated through the internet is not entirely quality information. Therefore, Internet users need digital literacy skills, that is the ability to use information technology efficiently and the ability to find, Evaluate, use, make information, and use it wisely, and lawfully. The problem is who should be held responsible to digital literacy education for the community. Public libraries can play a role in the digital literacy education for the community.Purpose: This study aims to find out how the management of ICT education in the Regional Public Library (PUSDA) of Sumedang Regency, West Java, as an effort for digital literacy education community.Method: The research method used is a qualitative method with descriptive analysis, and the data collection techniques with observation, interviews, focus group discussions, and literature study.Findings: The result shows the subject taught in ICT with the relevant training on participants' needs. The participants are students and jobless. Most of of participants did not have Reviews their own computer, they were very happy to take part in the ICT training in the library because it was free. Teachers are library staff and outside personnel assistance. Computer used are owned by the library and donations from industry. The way of teaching was easy to understand and the participants could practice using computers and search the internet. The PUSDA staff organized the training with enthusiasm.Conclusion: There are some aspects that are already owned by the public library which will support the implementation of digital literacy education effectively and efficiently. Among them is the library already has computer facilities, has a staff of professionals, and already has access to sources of digital information online
Digital Native Experience: Learning English beyond Classroom

Extensive listening is an enjoying and meaningful listening activity which is be able to apply both in class and out of classroom. This study was to delve deeper understanding into how English student-teachers use their self-motivating strategy while using Extensive Listening in order to keep themselves motivated when facing various kinds of situation which affect their learning process. It is necessary to keep them motivated to learn independently by using various resources available on the internet such as YouTube, BBC learning English, or TED Ed to shape their habit in English listening development. Multiple participants were chosen in the study. There were 4 students of English education from one of the state University in Indonesia who are used to do Extensive Listening activity. The data were obtained from participants' autobiographies, interviews, and learners’ diary. The experience of EFL students in practicing Extensive Listening was told by the participants through their learning journals and interview. This study showed that most participants use environmental control strategies to avoid disturbances from the environment, satiation control to eliminate boredom, and metacognitive control to manage their focus and concentration. Meanwhile, emotional control was not used by participants. Some of participants will try to use commitment control strategy in the future. Therefore, this study indicated that English teachers or lecturers must be aware that self-regulation skills which is used by students outside the classroom is able to support students’ listening development in the foreign language English classroom.
Block Matching of Motion Estimation by using New Technique "Quintet Search Algorithm"

In digital video communication it is not sensible and practical to store the total digital video without handling because of the many problems and constraints in the process of storage and the transmitter, so, the method of processing called a video compression.In video compression, one of the most important techniques that contribute to getting compression ratio and speed in performance is the motion estimation.The motion estimation could be a method that determines the motion between two or more frames of video.In this study we have proposed a calculation of block matching for motion estimation named (Quintet search algorithm).This algorithm it is similar in terms of work (Three step search algorithm) with eight points but the proposed algorithm is five points to get the speed and compression ratio acceptable in less time and a really acceptable PSNR compared to the other ways.
Experiencia de webinar para mejorar las tutorías virtuales en la especialización de gestión del e-learning y docencia

The main objective of the study was to analyze the virtual mode tutorial activities of students of E- learning Management and Virtual Teaching in the School of Education, Unit of Second Major (Specialization), at Universidad National Pedro Ruiz Gallo, Perú. Kurt Lewin´s theory of group communication was assumed as a basis, and elements proposed by Aristotle, as the arguer, the topic and the listener, identified as the student, the teacher, the contents. A Tutorial plan was then designed, on the basis of the application of webinar as a technological support and with emphasis on an empathic counselling to get connection with the students and achieve the learning objectives in curricular experiences. Key words: tutorial, webinar, technology, counselling.
Complexity Metrics for Sassy Cascading Style Sheets

Many front-end web developers are nowadays increasingly using sassy cascading stylesheets (SCSS) instead of the regular cascading style sheets (CSS).Despite its increased demand, SCSS has inherent complexity which arises from its features such as the use of nesting, inheritance, variables, operators, and functions.In addition, SCSS complexity, like all other software, continually increases with age.High complexity is undesirable because it leads to software that is difficult to understand, modify and test.Although there has been some metrics proposed to measure stylesheets complexity, these were defined in the context of regular CSS, and cannot be used to measure SCSS due to differences in their syntax.This paper proposes four metrics for measuring the complexity of SCSS code.The metrics have been used to calculate the complexity of three code snippets and three real-world projects and were found to be intuitional.The metrics were also evaluated using the Kaner framework and satisfied all the evaluation questions, indicating that they are sufficiently practical as required in the industry.In addition, the metrics were evaluated using Weyuker's properties, and results show that all the four metrics satisfied seven out of the nine properties, implying that they are theoretically sound.
Reliability of Hijacked Journal Detection Based on Scientometrics, Altmetric Tools, and Web Informatics: A Case Report Using Google Scholar, Web of Science, and Scopus

This paper presents a case report on detecting hijacked journals. Towards identification of a fake journal website and preventing a hijacked paper, we can use different tools including Google Scholar and Web of Science (WoS) and Scopus (both as scientometric databases) to distinguish a fake website from a legal journal website. Our evaluation shows that analysis of a doubtful website for a targeted journal based on Google Scholar is not reliable. In fact, the use of scientometric tools for tracking prior publications of the targeted journal is compulsory. Another result of this study is that in some uncommon cases, fake websites (clone versions) may sometimes convince a scientometric database in order to be fully/partially indexed along with an abstracting of their hijacked papers while these websites steal identity of the legal journals. Therefore, as a result, we should check both of WoS and Scopus at the same time for verifying a fake website to obtain more reliability.
Effects of Self-efficacy in Communication and Flow on Competence in Communication of Nursing Students in Simulation-based Education

Purpose: This study aimed to investigate the correlation between self-efficacy in communication, flow, and nursing students’ competence in communication, and examined the effect of self-efficacy on communication, and the effect of flow on competence in communication. Method: Data of 123 fourth-year nursing students were collected using structured self-report questionnaires in simulation-based education. The data were analyzed using descriptive statistics, the independent t-test, one-way ANOVA, Pearson’s correlation coefficient, and hierarchical multiple regression. Results: Self-efficacy in communication, flow, and competence in communication were positively correlated. The final regression model showed that self-efficacy in communication and flow accounted for 31.4% of the variance in predictions of competence in communication. Additionally, self-efficacy in communication was the most influential factor. Conclusion: The study supports a strategy to improve self-efficacy in communication and flow by improving nursing students’ competence in communication in simulation-based education.
A study of etiological profile of acute confusional state

Background: ACS (Acute confusional states) are on the rise taking the shape of an epidemic. These states are common among the elderly, but young individuals are also not spared. Prompt diagnosis and management of these states can decrease the associated morbidity and mortality.Methods: In this prospective observational study, etiological profile of ACS was evaluated in a total 100 patients, selected over a period of one year, after they fulfilled the CAM (Confusion Assessment Method) criteria.Results: Among 100 patients of ACS, mean age was 54.77±18.50 years, males were 66% and 34% were females. The most common diagnosis provisionally made on the basis of history and clinical examination was metabolic encephalopathy in 37% patients, meningoencephalitis (24%), CVA (Cerebrovascular accident) (18%), seizures (9%), sepsis (6%), poisoning (6%). Whereas the final diagnosis made after subjecting the patients to relevant investigations, was metabolic encephalopathy in 37% of patients, meningoencephalitis (20%), CVA (18%), sepsis (12%), unprovoked seizures (6%), poisoning (6%) and undetermined in 1%. The final diagnosis matched the provisional diagnosis in most of the patients except sepsis as a provisional diagnosis was underdiagnosed. The mean duration of hospital stay was 7.6±3.67days and the hospital stay was most commonly complicated by aspiration pneumonia and acute kidney injury.Conclusions: This study emphasizes that the ACS is an emergency medical situation, where prompt identification, workup and treatment should be done parallelly and urgently to prevent the morbidity and mortality.
Query-chain: Fast and Flexible Blockchain-based Platform for Diverse Application Services

With increasing interest in blockchain for its immutability and decentralization, numerous blockchain-based systems and applications have been proposed, and many more attempts are underway to utilize the technology. However, several challenges such as low processing speed, scalability, and vulnerability to certain attacks have been identified, making it difficult to apply the technology on general industrial applications. In this paper, we propose a new application service platform architecture on top of blockchain that resolves those challenges. The proposed architecture takes advantage of private blockchain to secure processing speed and security while allowing public open use of the system by dividing the system into multiple layers. Assuming arbitrary nodes can participate in service, we propose periodic node verification process and ‘query-chain’ to effectively authenticate and validate arbitrary nodes.
A microservice-based approach for fine-grained simulation in MSaaS platforms

M&S as a Service (MSaaS) is an increasingly adopted paradigm that brings the benefits of service-oriented architectures and cloud computing into the M&S field. The design and implementation of MSaaS platforms typically address the provision of coarse-grained M&S services, which offer the user easy access and orchestration of M&S components consisting of entire environments, applications and/or tools. This paper introduces an approach to the provision of fine-grained M&S services, which are defined by use of a microservice-based architecture, according to which applications are developed as a suite of small-sized services. The proposed approach extends an already available MSaaS platform, named SOASim. The paper shows how the integration and mutual use of fine-grained and coarse-grained services (e.g., modeling services, transformation services, presentation services etc.) significantly enhance the benefits of SOASim. An example application to the microservice-based setup of a discrete event simulation is used to describe and discuss the proposed approach.
Proof of Encryption: Enforcement of Security Service Level Agreement for Encryption Outsourcing

With the popularity of cloud and edge computing, various types of service level agreement (SLA) are used to enforce the amount of resources that service providers commit to end users. However, the security SLAs (SSLA) are usually hard to verify since their execution results are related to the intensity and frequency of cyber attacks. In this paper, we investigate the proof of encryption problem. Restricted by available resources and hardware capabilities, some end users need to outsource the strong encryption operations of data to external service providers. Verification of the correct execution of encryption is a problem since it is directly related to data safety. We first define the expected properties of the Proof of Encryption (PoE) mechanisms. We propose two mechanisms based on whether or not the service requester is aware of the encryption key. They allow an end user to verify that corresponding encryption algorithm and key strength are honored. We describe the details of the verification procedures. Simulation and experiments show that our approaches can detect a dishonest service provider with high probability.
Persepsi Siswa dan Guru terhadap Pengembangan Multimedia Berbasis Aplikasi Android

This study aims to determine students 'and teachers' perceptions of the results of developing android-based multimedia applications on poetry material for high school students in class X. This study uses descriptive qualitative methods. The results of this study indicate that students' perceptions of the development of application-based learning multimedia on poetry material obtained an average score of 3.82 with a decent category. The results of the assessment of Indonesian language teacher scores 4.23 in the very feasible category. Conclusion, the use of andriod-based multimedia applications is appropriate for use in poetry learning activities in high school.&#x0D; Keywords: Perception, Multimedia, Android-based
Multi-Level Proactive Security Auditing for Clouds

Runtime cloud security auditing plays a vital role in mitigating security concerns in a cloud. However, there currently does not exist a comprehensive solution that can protect a cloud tenant against the threats rendered from the multiple levels (e.g., user, virtual, and physical) of the cloud design. Furthermore, most of the existing solutions suffer from slow response time and require significant manual efforts. Therefore, a simple integration of the existing solutions for different levels is not a practical solution. In this paper, we propose a multilevel proactive security auditing system, which overcomes all the above-mentioned limitations. To this end, our main idea is to automatically build a predictive model based on the dependency relationships between cloud events, proactively verify the security policies related to different levels of a cloud by leveraging this model, and finally enforce those policies on the cloud based on the verification results. Our experiments using both synthetic and real data show the practicality and effectiveness of this solution (e.g., responding in a few milliseconds to verify each level of the cloud).
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic

Probabilistic soft logic (PSL) is a statistical relational learning framework that represents complex relational models with weighted first-order logical rules. The weights of the rules in PSL indicate their importance in the model and influence the effectiveness of the model on a given task. Existing weight learning approaches often attempt to learn a set of weights that maximizes some function of data likelihood. However, this does not always translate to optimal performance on a desired domain metric, such as accuracy or F1 score. In this paper, we introduce a new weight learning approach called Bayesian optimization for weight learning (BOWL) based on Gaussian process regression that directly optimizes weights on a chosen domain performance metric. The key to the success of our approach is a novel projection that captures the semantic distance between the possible weight configurations. Our experimental results show that our proposed approach outperforms likelihood-based approaches and yields up to a 10% improvement across a variety of performance metrics. Further, we performed experiments to measure the scalability and robustness of our approach on various realworld datasets.
TEACHING READING RECOUNT TEXT BY USING THIEVES STRATEGY

The purpose of the study was to find out whether or not there was a significant difference in reading comprehension between the students who were taught by using THIEVES (Title, Heading, Introduction, Every first sentence, Visual, End of paragraph, Summary) strategy and that of those who were not.The quasi-experimental method was used to conduct the research. The population of the study was all of the eighth-grade students of SMPN 2 Teluk Gelam. In this study, the purposive sampling method was used.The total numbers of the samples were 62 students. The instrument of this research was 30 questions about recount text in the form of multiple-choice test. To analyze the data, t-test was used. Based on the result of independent sample t-test, the value of tobtained was 3.718 at significance level p<0.05 in two-tailed testing and df=60, the critical value of ttable was 2.0003. Since the value of tobtained (3.718) was higher than ttable (2.0003) and pvalue (0.000) was less than αvalue 0.05, it meant that there was a significant difference in reading comprehension between the students who were taught using THIEVES strategy and that of those who were not. Hence, THIEVES strategy could improve the eighth-grade students’ reading skill at SMP Negeri 2 Teluk Gelam.
Как быть, если полюбили не дуала? Соответствие видов отношений особенностям определенных ТИМов

The author’s understanding of the features of different types of relationships in socionics is described: what unites partners, and what destroys relationships, and the deep perception of relationships by association with the characteristic features of each TIM.
Lattice and Imbalance Informed Multi-Label Learning

In a multi-label dataset, an instance is given a single representation across all possible labels. Despite the mutual sharing of instances among the labels, the membership of the instances vary from label to label. This diversifies the intrinsic class geometries of the labels. Multi-label datasets are often found to be class-imbalanced as well. The varying membership of the instances coupled with the imbalance phenomenon gives rise to varying imbalance ratios across the labels. We address these two key aspects in this work, Lattice and Imbalance Informed Multi-label Learning (LIIML) in a two step procedure. Firstly, we obtain the imbalance ratios and the intrinsic positive and negative class lattices of each label. We capitalize on these two information to obtain a dedicated feature set for each label. In the second step, to handle the class-imbalance further, we employ a scheme of imbalance-adaptive misclassification cost across the labels. We have evaluated the competence of the proposed method in a generic as well as class-imbalanced framework. The elaborate empirical study establishes the competence of the proposed method in both the contexts.