Reviewerly/exHarmony huggingface dataset:
초등교사의 민주시민교육 이해와 역사교육적 함의

This article asks elementary school teachers about the necessity and appropriateness of democratic citizenship education, as well as the educational meaning, and, based on the results, aims to raise the responsibility of elementary school history education for civic education. The study results are summarized as follows.First of all, teachers agreed with the necessity and importance of democratic citizenship education in elementary education, and linked the teaching and learning activity plan with the curriculum and creative experience activities. In this case, the teachers decided that it was appropriate to link with the social studies department.Next, looking at the learning goals and topics of the teachers and the characteristics of the teaching and learning process, the teachers valued the meaning of democracy and the practice of democracy in everyday life and chose universal values such as human rights and peace as learning topics. In addition, educational activities were arranged to encourage students'' voluntary participation and practice in the teaching and learning process, and ways to cultivate democratic values and attitudes were sought in the classroom culture.Next, it is necessary to produce teaching and learning materials in various contents and forms for democratic citizenship education. In addition, it is necessary to clearly recognize that the educational activities of teachers who teach universal values such as human rights, peace and democracy are also in line with the goals of school education.Lastly, recent history education in elementary school is trying to break away from the traditional knowledge-centered history class that lists and remembers only historical facts and educational contents centered on national history. This new direction of elementary school history education is in line with the direction of elementary school democratic citizenship education revealed in this article, and it is expected that history classes begin in the lives of students and cultivate democratic values and attitudes.
POLITENESS STRATEGY OF REQUEST IN TRADITIONAL MARKET

This study aimed at analyzing the kind politeness strategy in request which represented in Traditional Market. The descriptive qualitative method used to gain the findings of the data itself. From that findings, 11 requests from 7 speakers has been analyzed. And from those, 21 requests filtered throught transcribing the event. Of all 21 requests, it was found that there were 2 politeness strategies used, they were Bald-On record 32 (32%), and Positive Politeness 11 (1,21%) and Off-Record 16 (5,6%). Later on, the positive politeness was the dominant type of politeness since the traditional market was a full of bargaining, the using of positive politeness would be found in many ways. The instrument of this study was recording the event and transcribing them into list. And from that list, the categorization would be easy to exctract the data. Thus the writer found that positive politeness that used also similar to another local traditional market.
FORMATION AND DEVELOPMENT OF MUSEUM INSTITUTIONS OF SPECIALLY PROTECTED NATURAL TERRITORIES IN THE IRKUTSK REGION

Exhibition activities have become a traditional form of work in specially protected natural areas in the framework of environmental education activities. This article examines the formation and modern development of exhibition activities in nature conservation zones in the Baikal region. In addition, the article focuses on various forms of exhibition activities from traditional exhibitions to virtual and business exhibitions. On the basis of archival documents, the article provides a quantitative and qualitative characteristic of the exhibition activities of specially protected natural areas of the region. The article presents a brief description of the largest and most important exhibitions and exposure of protected areas in the region, in retrospect. The author draws attention to the particular importance of stationary exhibits and displays of museums and visitor centers of protected areas in the exhibition activities in the region, to ensure the preservation of unique exhibits. In the final part of the article, generalizations and conclusions are made, both positive and problematic points are indicated.
Sun-Glare region recognition using Visual explanations for Traffic light detection.

In order to achieve automated driving on public roads, image-based recognitions such as object detection and traffic light detection are significant technologies to understand surrounding road situations. However, the automated vehicle might be faced severe situations for sensing due to heavy sunshine. If the image captured by the onboard camera is overexposed, the image information will be lost and there is a risk of false detection. In particular, in traffic light detection where the acquisition of color information is essential, if the front traffic light and the sun overlap during intersection driving, it will not be possible to make an appropriate intersection approach judgment. Therefore, this paper developed the method to recognize sun-glare regions in the image using visual explanations of Convolutional Neural Network (CNN). The CNN outputs an attention map using the Grad-CAM method, and then the global direction of the sun-glare region can be estimated by time-series processing. The developed method contributes to implementing robust image recognitions by estimating the direction in which visibility is reduced by sunlight such as direct sunlight and reflected light from buildings.
Concrete Categorical Model of a Quantum Circuit Description Language with Measurement.

In this paper, we introduce dynamic lifting to a quantum circuit-description language, following the Proto-Quipper language approach. Dynamic lifting allows programs to transfer the result of measuring quantum data -- qubits -- into classical data -- booleans -- . We propose a type system and an operational semantics for the language and we state safety properties. Next, we introduce a concrete categorical semantics for the proposed language, basing our approach on a recent model from Rios\&Selinger for Proto-Quipper-M. Our approach is to construct on top of a concrete category of circuits with measurements a Kleisli category, capturing as a side effect the action of retrieving classical content out of a quantum memory. We then show a soundness result for this semantics.
Research Guides: Historical Newspapers - Open Access and Subscription Based: UNI Historical Newspaper Databases

This guide provides direction to and suggestions for freely accessible digitized Historical Newspapers. Links to UNI Only Newspaper Databases - which can be accessed by community members who visit Rod Library - are included. Historical newspaper databases for the UNI community and visitors to the UNI Rod Library
A Novel Approach for Privacy protection in Cloud using Facial Key Template based Homomorphic Encryption

Data is the new currency as lot of the user’s presence online is on an upward trend. As a consequence the data storage on the various cloud platforms has been a new normal. There is a need to implement a security procedure for solution of the problem of cloud computing’s vulnerable data. Face recognition is a new trend in bio-metrics as fast processing power is available on mobile devices as well as on computing devices. The cloud service providers which include Google, Microsoft and Amazon are using various encryption techniques to enhance privacy. The current method devices a procedure that provides facial authentication and facial key generation for privacy of data. Cloud mechanism is processed by facial features for authentication .Facial templates database is provided for cloud encryption of individual file which is integrated into core algorithm of the method, facial key will be compared with face data templates and encrypted. The observational outcome provides the methodology which can guarantee that cloud user’s information and the reclusive personal identity of the users are protected. We create a double abstraction methodology to assure protection of data on a cloud computing platform by using facial template as a key for the encryption. Keywords: Facerecognition, Facial templates, facial authentication, facial key generation
Using Hybrid Scheduling Algorithms for Solving Blockchain Allocation on Cloud

Companies are rushing to deliver their services and solutions through the cloud.The scheduling process is very critical in reducing delays.Scheduling also has a role in accessing resources without excessive waiting time.All this in context of modern advances in infrastructure and the emergence of Blockchain-as-a-service. What if integration is done between a hybrid scheduling algorithm and blockchain technology via the cloud.This integration aims to enhance and provide the service uninterruptedly.This method is distinguished, compared to other scheduling algorithms such as shortest-job-first and priority scheduling, that it does not suffer from starvation and it has a balanced load on resources.Based on analytical performance, the proposed hybrid scheduling has the markable result.
High-speed band-limited illumination profilometry

We have developed band-limited illumination profilometry (BLIP) with two configurations for high-speed three-dimensional (3D) surface measurement. First, with a CoaXPress interface (CI), BLIP enables real-time 3D surface information reconstruction at 1 kHz. Second, employing two cameras with temporally interlaced acquisition (TIA), BLIP improves the 3D imaging over 1000 frames per second on a field of view (FOV) of up to 180x130 mm2. CI-BLIP has empowered informative observation of the 3D motion of flag-fluid interaction for the first time. Meanwhile, TIA-BLIP has been applied to visualize the glass breakage by a hammer.
Software Development Process and Covid-19 in SME

During 2020 the COVID-19 pandemic disrupted labor markets globally.It came suddenly and unexpectedly and caused a major shift in the work environment.Employees who normally worked in the office until they were forced to do their work from home.In this paper we have studied how working from home in COVID-19 affects the software development process based on study in Small and Medium Enterprise (SME) in software development with 30 employed software engineers.The advantages of doing work from home and the challenges that these employees most often faced were collected and analyzed based on survey questionary and analysis.Following, the results and interpretation are shown, where we show a way to better understanding how to adapt and upgrade the work process in software engineering based on lessons learned and experiences gained in lock down period.We show an insight to better understanding of working from home characteristics, what we face in such work and whether it is an appropriate approach to develop a new working methodology in post pandemic economy.
Lectora Inspire Learning Media Based on Character Education in Civics

In the era of revolution 4.0, technology has an essential role in education, but teachers do not use technology in learning so that the impact on the learning process is less than optimal. This study aims to develop Lectora inspire learning media based on character education in Civics learning. This type of research is development research. The research method uses the research and development (R&amp;D) development model of Hannafin and Peck. Three experts validate the media. The product trial subjects were 15 students. Data collection techniques by filling out a questionnaire. Quantitative data analysis techniques are based on the results of the calculation of answers on a Likert scale. The validation results from material experts obtained a score of 87.5%. The results of the validation of media experts obtained a score of 85%. The results of the validation of linguists obtained a score of 81%. The teacher obtained a score of 98%. The results of product trials to students obtained a score of 98%. It can be concluded that the learning media Lectora inspire based on character education in Civics learning is feasible to be used as a learning medium. This research implies that this media can be used to build students' character.
The Effect of Applying Grammar Translation Method on Students’ Achievement in Paragraph Writing

The objective of this research was to investigate out the significant effect of applying grammar translation method on the students’ achievement in writing. The research was conducted at English Department of University of Muhammadiyah Sumatera Utara. The population of this study are students at second semester. The total samples are 40 students. This research used experimental study with two different  groups,  the  first  is  experimental  group  teach by using grammar translation method that consist of 20 students and the second is control group are going to teach without using grammar translation method that consist of 20 students. The instrument used in this study was the written test. Technique for collecting data was experimental quantitative. The data is t-test > t-table or 12,92 > 2,021. The percentage of the effect of x variable and y variable or the effect  of  using  grammar  translation  method  on  the  students’  achievement  in paragraph writing was 75% and 25% was influenced by other factor. It means that the alternative hypothesis is accepted and the null hypothesis is rejected. From this research, it was found that applying grammar translation method could cause a positive effect on students studying written simple paragraph. After analyzing the result of the students achievement using grammar translation gave significant effect on the students’ achievement in paragraph writing
Robust Digital Image Encryption Approach Based on Extended Large-Scale Randomization Key-Stream Generator

This paper presents a novel image encryption scheme based on extended large-scale randomization key-stream generator. The basic form of the key-stream generator is presented, and employed in digital image ciphering. The modification of the basic form also, presented, and gives encouraging results in image encryption as compared with classical non-linear stream cipher generators and the basic form. Pixel shuffling is performed via vertical and horizontal permutation. Shuffling is used to expand diffusion in the image and dissipate high correlation among image pixels the sequences generated from all presented generators are introduced to five well-known statistical tests of randomness to judge their randomness characteristic. The ciphered images are tested for their residual intelligibility subjectively. The measures applied to images ciphered by one of the classical key-stream cipher generators (Threshold generator) for the purpose of comparison with the presented key-stream algorithms. Experiments results show that the proposed algorithm achieves the image security. In order to evaluate performance, the proposed algorithm was measured through a series of tests. Experimental results illustrate that the proposed scheme shows a good resistance against brute-force and statistical attacks.
SISTEM INFORMASI GEREJA BERBASIS WEBSITE DENGAN MENGGUNAKAN METODE INCREMENTAL (STUDI KASUS : GKPA SIMPANG BARU PANAM)

GKPA Simpang Baru Panam is one of the places of worship for Christians who have some problems in storing church data and disseminating church information to the congregation. This church still uses paper media for church registration and data storage. So that data loss often occurs and pilgrims have difficulty getting information. So the Simpang Baru Panam GKPA Church Information System was created to make it easier for church congregations to obtain information quickly and efficiently and to assist the work of church administrators. This information system is built using an incremental methodology and implemented using the CodeIgniter framework with the PHP programming language and MySQL as the database. Based on the User Acceptance Test which got 39 test items went well and the Black Box Testing test got 19 test items went well. And based on Usability Testing, the aspect with the highest value is the efficiency aspect of 88.88% and the second highest value aspect is the satisfaction aspect of 84.44% so it can be concluded that this system can display information as expected and the system can be used easily and efficient
Impact of Media Multitasking on Work Engagement Under the Background of the Internet Based on Resource Limitation Theory

With the rapid development of science and technology, the media is constantly updated in the current information age, and it increasingly affects people's daily lives.This paper attempts to explore the impact of media multitasking on employees' work engagement.Based on the survey of employees in different industries, different age groups and different types of units, 202 valid questionnaires were collected, and the media multitasking index was calculated to study that modern enterprise employees spend on the media every day.According to the ranking of media usage time, the three longest media activities are: replying to instant message, using office software for work or study, and listening to music.The results of empirical research show that media multitasking has a negative impact on work engagement.Therefore, enterprises should take measures to control employees' media multitasking behavior.
Adaptasi Teknologi Berbasis Internet Dalam Mendukung Pembelajaran Jarak Jauh Di Sd Negeri 1 Banjareja

Education is one ofthe areas affected by the Covid-19 pandemic. The Ministry of Education and Culture organized the Teaching Campus program as a solution for elementary schools affected by the pandemic, SD Negeri 1 Banjareja. A Distance Learning (PJJ) policy requires teachers and students at SD Negeri 1 Banjareja to adapt to technology. The limited ability to utilize technology causes online learning to be less effective. The activity Closer to Technology is a form of training in using internet-based technology given to teachers at SD Negeri 1 Banjareja to support online learning activities. Google Drive and Quizziz are the choices in implementing internet-based technology in education. Complete features with large storage media and easy access to Google Drive are exemplary services in internet-based technology in education. Quizziz is here as a platform that can be used in the student assessment process that can help motivate students in learning. The results of the analysis of activities Closer to Technology 25% of respondents said Google Drive was straightforward to use, 63% was easy, and 12% said it was enough. For the use of Quizziz, 63% of respondents said Quizizz was very easy, and 37% said it was easy to use. Technological developments in education are expected to support online learning during the Covid-19 pandemic. In addition, the use of technology in educationshouldbeinlinewiththewiseuseofstudentsKeywords: online learning, technology adaptation training, qualitative research, GoogleDriveimplementation,Quizzizimplementation
Estimating Aggregate Properties In Relational Networks With Unobserved Data.

Aggregate network properties such as cluster cohesion and the number of bridge nodes can be used to glean insights about a network's community structure, spread of influence and the resilience of the network to faults. Efficiently computing network properties when the network is fully observed has received significant attention (Wasserman and Faust 1994; Cook and Holder 2006), however the problem of computing aggregate network properties when there is missing data attributes has received little attention. Computing these properties for networks with missing attributes involves performing inference over the network. Statistical relational learning (SRL) and graph neural networks (GNNs) are two classes of machine learning approaches well suited for inferring missing attributes in a graph. In this paper, we study the effectiveness of these approaches in estimating aggregate properties on networks with missing attributes. We compare two SRL approaches and three GNNs. For these approaches we estimate these properties using point estimates such as MAP and mean. For SRL-based approaches that can infer a joint distribution over the missing attributes, we also estimate these properties as an expectation over the distribution. To compute the expectation tractably for probabilistic soft logic, one of the SRL approaches that we study, we introduce a novel sampling framework. In the experimental evaluation, using three benchmark datasets, we show that SRL-based approaches tend to outperform GNN-based approaches both in computing aggregate properties and predictive accuracy. Specifically, we show that estimating the aggregate properties as an expectation over the joint distribution outperforms point estimates.
A Semantic Trajectory Mining System Based on Deep Neural Network

At the beginning of 2020, epidemic of COrona VIrus Disease 19 (COVID-19) broke out. During the epidemic prevention and control, artificial intelligence, big data and other technologies have become powerful weapons against the epidemic, and have been widely used in the fields of epidemic tracing, confirming virus transmission path, resource allocation and so on. In this study, BiLSTM-CRF model, Bootstrap and Tornado frameworks are used to implement a neural network-based semantic trajectory mining system for the COVID-19 patients. On the basis of collecting the data published by the health committees of various provinces and cities, the semantic trajectories of the patients are extracted to ensure the accuracy of the data and then establish mapping relationship between the real space and the text description of the trajectories of the patients, while taking the time and space factors into account and excavating the dynamic changes of the patients.
Scenario Dependency Graphs for Efficient Development of Automated Driving Systems towards Market Entry.

In the field of automated driving, scenarios pose a systematic and intuitive way to structure the complex development problem. Their usage was proposed for several domains, such as safety validation, verification, testing, and systems engineering. While those domains are key for a successful development from the technical and systems perspective, the maturity of the technology continuously evolves. This generates the need for a suitable product management in order to realize a successful market entry. We propose, to extend scenario-based development by a product scope description incorporating the business value and development costs for each scenario. The definition of a product on scenario level leads to the questions, how scenarios interdepend from an architectural and technological perspective and how to derive an efficient development order. We therefore introduce scenario dependency graphs, which we assess to be a valuable communication instrument. These graphs can additionally support project planning, monitoring, and control leading to an increased development efficiency and supporting project management towards market entry.
Pengembangan LKPD Berbasis Pendekatan Scientific Pada Tema 7 Subtema 1 Pembelajaran Bahasa Indonesia Untuk Siswa Kelas III SD

This study aims to produce a product in the form of Student Worksheets based on a scientific approach in Theme 7 Sub-theme 1 Learning Indonesian for third grade elementary school students that are valid and practical. The development research method uses research and development (R&amp;D) with the Analysis, Design, Development, Implementation, Evaluation (ADDIE) model. Data collection techniques used include small groups, validation questionnaire sheets, and student response questionnaires. The subjects in this study were 6 students of class III SD Negeri 81 Palembang. Based on the results of the study, it can be concluded that the LKPD developed in this study had valid criteria by experts in terms of content, construct and language aspects with an average percentage score of 90%. From the results of the calculation of student response questionnaire data on product trials, it was found that the average percentage of student scores was 90% so it was said to be practical.