Reviewerly/exHarmony huggingface dataset:
The Mediating Effect of Enthusiasm for Teaching Profession on the Influence between Interpersonal Ability and Job Satisfaction in Early Childhood Teachers

본 연구는 영유아교사의 대인관계능력이 직무만족도에 미치는 영향에 교직열정이 매개하는지를 검증하는 데 그 목적이 있다. 이를 위해 충북 청주시를 포함한 4개 지자체에서 근무하고 있는 영유아교사 512명을 대상으로 설문조사를 실시하였다. 회수된 501부의 설문지 중 490부를 대상으로 통계분석을 실시하였다. 연구결과는 다음과 같다. 첫째, 영유아교사의 대인관계능력, 교직열정, 직무만족도 간에는 통계적으로 유의한 상관관계가 있었다. 둘째, 영유아교사의 교직열정은 대인관계능력이 직무만족도에 미치는 영향에 부분 매개효과를 보였다. 직무만족의 하위요인 중 근무환경은 매개하고 있지 않은 것으로 나타났으며 원장과 동료관게, 사회적 인정, 직무자체특성 그리고 보수와 승진의 4개 하위요인은 부분매개를 하고 있는 것으로 나타났다. 이러한 결과는 교사의 직무만족도를 증진시키기 위해서는 대인관계능력을 직접적으로 높히거나, 교직열정을 향상시켜 이를 중재하도록 유도하는 전략이 필요함을 시사한다.The purpose of this study was to examine the mediating effect of early childhood teachers’enthusiasm for teaching profession on the relationship between interpersonal ability and job satisfaction in early childhood teachers. The subjects in this study were 490 early childhood teachers from kindergartens and child care centers from 4 regions including chung&#8211;Ju city. After a survey was conducted, the collected data were analyzed. After a mediation model of enthusiasm for teaching profession and a partial mediation model of the same were set up on the basis of collected data, Descriptive data analysis, the three-step mediated regression analysis suggested by Baron and Kenny (1986), and Sobel tests were conducted to check the appropriateness of the basic models. The results from this study showed the following. First, interpersonal ability predicted job satisfaction and enthusiasm for teaching profession positively. Second, enthusiasm for teaching profession played a partial mediating role in the effect of early childhood teacher s four sub-factors of job satisfaction; human relationship, social well-being, conviction, status but environment factor played a completely mediating role in the effect of early childhood teacher s enthusiasm for teaching profession. These results suggest that the strategies are needed to improve job satisfaction by directly increasing their interpersonal ability and enhancing enthusiasm for teaching profession to mediate them.
On the Synchronization Power of Token Smart Contracts

Modern blockchains support a variety of distributed applications beyond cryptocurrencies, including smart contracts -- which let users execute arbitrary code in a distributed and decentralized fashion. Regardless of their intended application, blockchain platforms implicitly assume consensus for the correct execution of a smart contract, thus requiring that all transactions are totally ordered. It was only recently recognized that consensus is not necessary to prevent double-spending in a cryptocurrency (Guerraoui et al., PODC'19), contrary to common belief. This result suggests that current implementations may be sacrificing efficiency and scalability because they synchronize transactions much more tightly than actually needed. In this work, we study the synchronization requirements of Ethereum's ERC20 token contract, one of the most widely adopted smart contacts. Namely, we model a smart-contract token as a concurrent object and analyze its consensus number as a measure of synchronization power. We show that the richer set of methods supported by ERC20 tokens, compared to standard cryptocurrencies, results in strictly stronger synchronization requirements. More surprisingly, the synchronization power of ERC20 tokens depends on the object's state and can thus be modified by method invocations. To prove this result, we develop a dedicated framework to express how the object's state affects the needed synchronization level. Our findings indicate that ERC20 tokens, as well as other token standards, are more powerful and versatile than plain cryptocurrencies, and are subject to dynamic requirements. Developing specific synchronization protocols that exploit these dynamic requirements will pave the way towards more robust and scalable blockchain platforms.
Hur hamnade vi här? : En kvantitativ innehållsanalys av svenska webbtidningar om hamnkonflikten 2019

The purpose of this essay was to examine how eight Swedish newspapers reported on a trade union conflict between dock workers and a employer organisation in the winter of 2019. Further it will exam ...
Critical Evidence on the Implementation of SCADA in the UAE: Artificial Intelligence Mandate Vulnerability, and Public Safety – Part 1

The dependence of structural physical systems including Supervisory Control and Data Acquisition (SCADA) systems on AI technology is growing rapidly. The mandate of AI to achieve efficient and effective industrial supervisory systems is clear; however, threats resulting from both internal malfunctions and external cyber sabotage have become of crucial concern to SCADA systems that depend on AI. AI defence mechanisms are often installed within system architecture and through other external sources. Careful balancing of defence mechanisms to counter attacks and overcome systems vulnerabilities remain critical to the very protection of public lives which have become progressively reliant on these physical systems. In these developments, the passive role of human governance of technology systems cannot be wholly exempted. This paper employe the action research strategy with primary focus on two SCADA control rooms in the Emirate of Abu Dhabi. These control rooms handle over 60% of all non-law enforcement physical and infrastructural systems monitoring across the Emirate of Abu Dhabi. Operational AI integrated SCADA Systems are diagnosed with the help of document analysis and informal interviews. Action planning entails careful matrix modelling of possible courses of actions that balances AI defence and attacks in the SCADA environment. The implementation, evaluation, and specification of learnings are reserved for the second part of the present paper. The results of the first two stages of the action research are critically discussed to reveal evidence on how AI is operationalized in SCADA monitoring, data collection, and control centring.
Abordări metodice privind aplicarea quasigrupurilor la dezvoltarea unor metode de criptografie

In the paper, the authors address the issue of training computer science specialists, from the perspective of the interdisciplinarity of abstract algebra and computer science. The application of nonassociative algebraic systems in cryptography is examined. The stages of implementation of quasi-groups in the elaboration of cryptographic algorithms are described. It was demonstrated, from a methodological point of view, the need to study mathematical concepts by computer scientists, in order to understand the operation, use and application of the Markovski cryptographic system
AUTOMATIC ANOMALY DETECTION AND ROOT CAUSE ANALYSIS FOR MICROSERVICE CLUSTERS

Large microservice clusters deployed in the cloud can be very difficult to both monitor and debug. Monitoring theses clusters is a first step towards detection of anomalies, deviations from norma ...
Skepticism as a Means of “Indirect Exposition”: Boris Pasternak and Gustav Shpet

When we discuss skepticism, we generally mean a certain philosophical movement with a fundamental basis in doubt. At the same time, the history of philosophy gives us another highly productive, methodologically oriented interpretation of skepticism as a psychological state of mind that forces the author to draw a veil over his thoughts. That said, we consider it important that epistemological skepticism, both in its traditional versions and in its modern epistemological conceptions, is not a self-sufficient position. Doubt acquires methodological effectiveness only when, through verbal-conceptual mediation, it brings with it a semiotic-symbolic interpretation of the reality directly given to us. This philosophical-methodological idea, which our article attempts to substantiate, is by no means a universally accepted one. Nevertheless, it was the center of attention for the philosopher Gustav Shpet, who argued for the semiotic-symbolic nature of humanitarian reality, and for the poet Boris Pasternak, who embodied this method of “indirect exposition” in his work. Pasternak attended Shpet’s seminar on Hume, where he emphasized the idea that the forward momentum of cognition is ensured by the skeptical position of the cognizing subject who subjectivizes knowledge. This idea remains relevant today. We believe this is the situation in science as a whole, including even those areas of natural science most divorced from directly accessible experience. These dynamics of methodological standpoints associated with doubt reveal, in an obvious way, their effectiveness in the field of humanitarian knowledge and creativity. To support this argument, our article uses historical-philosophical argumentation based on archival materials.
SIGSv2: Enhanced Student ID Generator and Management System

Electronic ID systems in educational institutions had advanced technologically and are used for integration to other information systems. To utilize this advantage, an automated generation and management of ID cards was developed. In its implementation, however, it was found out that the system lacked capabilities needed for a more effective process. So, an enhancement had carried out to improve the system’s capabilities. Data was gathered using interviews, process observations, and questionnaire. The respondents evaluated the acceptability of both old and the new systems in terms of efficiency, reliability, functionality, and usability based on ISO 9126 software metrics, and they agreed that the new system exhibited superior performance. Further, comparison results revealed that the new system significantly improved in terms of efficiency, functionality, reliability, but had not achieved significant improvement in usability, particularly, on the user interface. With the deployment of the enhanced system, a more robust solution in generating and managing identification card was achieved that led to a more efficient delivery of service.
Extractive Financial Narrative Summarisation based on DPPs

We participate in the FNS-Summarisation 2020 shared task to be held at FNP 2020 workshop at COLING 2020. Based on Determinantal Point Processes (DPPs), we build an extractive automatic financial summarisation system for the specific task. In this system, we first analyze the long report data to select the important narrative parts and generate an intermediate document. Next, we build the kernel Matrix L for the intermediate document, which represents the quality of its sentences. On the basis of L, we then can use the DPPs sampling algorithm to choose those sentences with high quality and diversity as the final summary sentences.
University and Congress as Interdisciplinary Communicative Environment (Experience of Philosophical Comparison)

The article actualizes the problem of the university community as a key meaning-forming scientific environment and the congress as a form of scientific communication. The perspectives of interdisciplinary communication in the university environment and also the experience of Russian philosophical congresses, which have become an important factor in the scientific consolidation of the Russian philosophical community, are considered as material for this kind of comparison, designed to demonstrate the substantial similarity of the problems arising in scientific communities. The author notes the similarity of the problems arising in the formation process of the disciplinary diversity (specialization) of the university environment and the similarity between the functioning of the classical within a modern university (on the example of Belgorod State University) and the problems that are solved at philosophical congresses. Philosophical congresses help to overcome a period of disciplinary fragmentation, which philosophy is now also going through. At the same time, the author notes the importance of the experience gained within the framework of philosophical congresses for solving the problems of university education, in which philosophy traditionally plays an important role in ensuring interdisciplinary communication between faculties. It explains the need for consistent and various attention to philosophical congresses on the part of Russian national universities, which are going through the time of searching for historically well-timed forms of scientific and educational activity. Due to the practical development of personal worldview and methodological beginnings of cognitive activity of high educational level, the author proposes for discussion at the upcoming philosophical congresses (Russian and international) topics related to the question of prospects of philosophical communities in universities. According to the author, it can be the subject of a broad discussion at the next Russian philosophical congress.
Cost optimization in the cloud : An analysis on how to apply an optimization framework to the procurement of cloud contracts at Spotify

In the modern era of IT, cloud computing is becoming the new standard. Companies have gone from owning their own data centers to procuring virtualized computational resources as a service. This tec ...
Towards Code-switched Classification Exploiting Constituent Language Resources

Code-switching is a commonly observed communicative phenomenon denoting a shift from one language to another within the same speech exchange. The analysis of code-switched data often becomes an assiduous task, owing to the limited availability of data. In this work, we propose converting code-switched data into its constituent high resource languages for exploiting both monolingual and cross-lingual settings. This conversion allows us to utilize the higher resource availability for its constituent languages for multiple downstream tasks. We perform experiments for two downstream tasks, sarcasm detection and hate speech detection in the English-Hindi code-switched setting. These experiments show an increase in 22% and 42.5% in F1-score for sarcasm detection and hate speech detection, respectively, compared to the state-of-the-art.
PENGABDIAN MASYARAKAT BERBASIS MULTIMEDIA UNTUK MELATIHKAN SOFT SKILL PARA PENDIDIK SEKOLAH DASAR SEMANGAT DALAM DI BARITO KUALA

Educators’ soft skills play an important role in creating multimedia literacy in elementary schools and facilitating critical thinking, creative, collaborative, and communicative in facing global competition. However; the soft skills of educators’ primary school Semangat Dalam 2 in Barito Kuala are still low. Therefore, a multimedia-based community service was conducted to train the soft skills of educators’ primary school Semangat Dalam in Barito Kuala. The service implementation method begins with an initial survey, then planning services, licensing, participants selection (selected: educators’ primary schools Semangat Dalam in Barito Kuala), implementation of service (produced multimedia products), and concludes an evaluation related to the product quality. The results of this community service are: (1) can train the soft skills of educators in processing graphics and photos (pictures) and then designing multimedia learning media; (2) can train soft skills of educators in finding and editing videos into learning media; (3) can train soft skills of educators in designing simple animation media using Macromedia flash; and (4) can train soft skills of educators in making interactive tests with Macromedia flash.
Identifying Human Edited Images using a CNN.

Most non-professional photo manipulations are not made using propriety software like Adobe Photoshop, which is expensive and complicated to use for the average consumer selfie-taker or meme-maker. Instead, these individuals opt for user friendly mobile applications like FaceTune and Pixlr to make human face edits and alterations. Unfortunately, there is no existing dataset to train a model to classify these type of manipulations. In this paper, we present a generative model that approximates the distribution of human face edits and a method for detecting Facetune and Pixlr manipulations to human faces.
A Study on the Performance Analysis of Entity Name Recognition Techniques Using Korean Patent Literature

Entity name recognition is a part of information extraction that extracts entity names from documents and classifies the types of extracted entity names. Entity name recognition technologies are widely used in natural language processing, such as information retrieval, machine translation, and query response systems. Various deep learning-based models exist to improve entity name recognition performance, but studies that compared and analyzed these models on Korean data are insufficient. In this paper, we compare and analyze the performance of CRF, LSTM-CRF, BiLSTM-CRF, and BERT, which are actively used to identify entity names using Korean data. Also, we compare and evaluate whether embedding models, which are variously used in recent natural language processing tasks, can affect the entity name recognition model
Pengaruh Model Pembelajaran Course Review Horay (CRH) Dan Minat Belajar Terhadap Prestasi Belajar Siswa Pada Pelajaran IPS Siswa Kelas IV SDN Sukun 2 Malang

This study aims to determine the differences in the interests of students who are taught through the course review horay learning model with the conventional learning model conducted at SDN Sukun 2 Malang City in the 2020/2021 school year. This type of research is quantitative. The population in this study were all fourth grade students and the sample of this study consisted of 25 students of class IVA as the experimental class and 25 students of class IVB as the control class. The data collection technique used a questionnaire and a test of student interest in learning, then analyzed using a simple independent t-test. Research like this has also been conducted by researcher Sri Wahyuni ​​Handayani in 2018 with the results of her research, namely the results of the study show the average pretest value in the experimental class is 54.3 and the control class is 49.5. Meanwhile, the posttest average value in the experimental class was 85.8 and the control class was 75. The analysis of the research through the t test with a significant level of 0.05 showed 0.00 <0.05 which stated that Ha was accepted and Ho was rejected. So it can be concluded that there is an effect of the course review horay learning model based on memory card media on the science learning outcomes of fourth grade students of SDN Tanjungrejo 5 Malang City for the 2017/2018 school year. The results of this study indicate that there are differences in learning interest and student learning achievement which are measured using the course review horay learning model with students whose learning uses conventional learning models with values. 2 tailed) of 0.000 <0.005, it can be concluded that there is an effect of interest in learning on learning achievement in social studies learning. Thus, it can be concluded that the use of the course review horay learning model gives a positive impact on students' interest in learning in social studies learning. Course review horay learning model is proven to be able to increase students' interest in learning and learning achievement. Therefore, if it can be used in social studies learning so that the objectives of social studies learning can be achieved optimally.
Fractional Differentiation and Wavelet Analysis

In general we know that there are many basis of L^2 (R) space, in which some can be written in the terms of sin(x) and cos(x). Another way of producing an orthonormal basis from single function involves translations and modulation. In this paper we discuss to construction an orthonormal basis of L^2 (R) from given basis with help of fractional differentiation which is different from parent basis.
Transformer-based Neural Machine Translation System for Hindi - Marathi: WMT20 Shared Task.

This paper reports the results for the Machine Translation (MT) system submitted by the NLPRL team for the Hindi – Marathi Similar Translation Task at WMT 2020. We apply the Transformer-based Neural Machine Translation (NMT) approach on both translation directions for this language pair. The trained model is evaluated on the corpus provided by shared task organizers, using BLEU, RIBES, and TER scores. There were a total of 23 systems submitted for Marathi to Hindi and 21 systems submitted for Hindi to Marathi in the shared task. Out of these, our submission ranked 6th and 9th, respectively.
INCREASING STUDENTS’ VOCABULARY OF SEVENTH GRADE AT SMP N 1 GALANG THROUGH HANGMAN GAMES

The objective of the research is to prove whether the use of hangman games effective in increasing  students’ . This  pre-experimental study use 22 students as a sample. They are grade VII d of SMP N 1Galang . The procedure of this research consists of pretest, treatment, and posttest. The result It can be seen by the difference of the mean score between pre-test and post-test. The mean score of pre-test is 56.72 while in the post-test improved up to 90.64. The data of this research are analyzed by using SPSS Program version 16.0. Then the data of both tests are analyzed by using T-test, and the result shows that the T-test value 9.681 is high than T-table value 2.080. It can be inferred that hangman   games   is very effective to improve students’   vocabulary. Keywords: increasing , vocabulary, Hangman games
Working with Other Data

In the previous chapter, we showed you how to work with a TFDS. But what if we want to work with another type of dataset? In this chapter, we show you how to work with other types of data with TensorFlow.
ANALISIS KESUKSESAN IMPLEMENTASI SISTEM INFORMASI MANAJEMEN (STUDI KASUS DI HOTEL INDIGO SEMINYAK BALI)

This study aims to determine the successful implementation of opera management information system at Hotel Indigo Seminyak Bali is to analyze whether there is a positive influence on the quality of information, quality system, and user satisfaction on the impact of the organization on the Hotel. Indigo Seminyak Bali. The population of this study is all employees of Hotel Indigo Seminyak Bali who use the system opera itself. This research uses quantitative data analysis and literature study. In this study using questionnaires distributed on 52 respondents with predetermined criteria. The results of this study were tested by validity test, reliability test, classical assumption test which includes normality test, heteroskedastisiitas test, multicolinearity test and linear different test and hypothesis test which include F test, t testThe results obtained after the test is the quality of Information has a positive and significant impact on the organizational impact of 0.216 which means the better the quality of information, the better the impact on the organization, quality system has a positive and significant impact on employee organization impact of 0.317 means the better quality system, the better the impact on the organization, and user satisfaction has a positive and significant impact on employee organization Impact of 0.469 which means the better of the consumer attitudes, also the better the impact on the organization.Keywords: Information Quality, System Quality, User Satisfaction, Organizational Impact