Reviewerly/exHarmony huggingface dataset:
A Study on The Requests of Students and The Aspects of Teachers’ Acceptance during the Korean Phonology Classes

The purpose of this study is to investigate the requests students feel during Korean phonology classes and to find out the reasons why teachers don’t or can’t accept the requests of students during the Korean phonology lessons.The biggest request of the students is the explanation of the exceptions of phonological rules, more detailed descriptions of morphologic terms, more examples, and a summary table of phonological processes are the next. The reasons why teachers don’t accept the requests are the low level of the students’ ability, reject of meaningless memorization, preference of students’ independent study. The reasons why teachers can’t accept the requests are insufficient time for textbook progress, lack of grammatical knowledge, unawareness of the students’ requests, necessity of excessive effort, disagreement of colleague teachers.If the values of teachers conflict with the needs of students, teachers should look back on their values from the perspective of students. In some cases, teachers want to accept students’ demands, but they can’t. To prevent such cases, textbook publishers, educational authorities and scholars should provide teachers with conditions to meet their students’ needs.
Is it ethical to use hacked data in scientific research?

Hacked data — data obtained in an unauthorized manner through illicit access to a computer or computer network— are increasingly being used in scientific research. Examples include conflict modelling studies based on WikiLeaks datasets, and studies on sexual behaviour based on data leaked from Ashley Madison, a dating website hacked in 2015. Studies of this kind are prima facie lawful because the researchers who processed the data had no involvement in the hack itself, and the hacked datasets were made publicly available. However, research integrity is not simply reducible to lawfulness. We contend that the ethical acceptability of using datasets of illicit origin cannot simply be presumed, but requires ethical justification. Therefore, the scientific community is urged to address a fundamental ethical question: whether, and under which conditions, conducting research using hacked data can be considered a morally justifiable behaviour. This contribution will discuss and critically evaluate the ethical boundaries of research involving hacked data. This emerging ethical dilemma will be examined by analogy with previous debates on the ethics of research using data of unethical origin, such as research with data from Nazi medical experiments. Furthermore, we discuss the compatibility of research involving hacked data with current research ethics guidelines such as the Belmont Report. We posit that research using hacked data should be deemed ethically problematic. However, exceptions may be acknowledged, depending on how the data are processed and the overall value of the study to society. To this end, we propose six ethical and procedural requirements for conducting research with hacked data in an ethically responsible manner.
Sustainability of Return and Reintegration of Returnees in Bulgaria: Re-Emigration Index

Migration processes have been increasingly attracting scientific and political attention, and in recent years the focus on the return and reintegration of returnees has intensified. The study focuses on the relationship between the sustainability of migrantsâ€™ return to Bulgaria and the reintegration of returnees. The main hypothesis is that problematic post-return reintegration may hamper the sustainability of return and encourage returnees to re-emigrate. Based on a discussion of the different understandings of return, its sustainability and the reintegration of returnees, a model for analyzing the relationship between the sustainability of return and the reintegration of returnees â€žat homeâ€œ is built. Central to the model is the constructed â€žreintegration indexâ€œ, which links post-return integration with the degree of readiness for re-emigration. Although the index is based on economic factors, other social and subjective factors related to the sustainability of returns have been taken into account too. The model and the index are used for analysis of empirical data from a nationally representative survey among returning migrants in Bulgaria. The analysis reveals that about 70% of returnees either have almost no reason to stay in Bulgaria (12.4%) or have a high probability of re-migration (56.3%). The results reveal target groups and factors against which sustainable return policies can be developed and targeted.
Knowledge Graphs Using Cloud Services

Typically, industries store varied types of data in both structured and unstructured formats. This data is very vast and valuable as it is collected over many years. This data is present in multiple data sources, instances and is generated using expensive business processes. Though some of this data is old, it is still relevant in the present context as it provides valuable leads for the current ongoing study. One of the potential problems in any industry is to identify and extract knowledge from these varied data sources as they are: (1) geologically spread, (2) extracted from diverse systems categorized as structured or unstructured data (3) incomplete knowledge of data present and (4) high retrieval time and cost. Even though there are RDBMS databases for storing structured data and document management systems like SharePoint to organize and search unstructured data, there is a need for an efficient system that can link relational databases along with the knowledge present in unstructured data to produce a single knowledge repository and show in the form of a knowledge graph(KG). The knowledge graph should also be supplemented with additional functionalities like search, knowledge extraction, storage, and maintenance. This paper proposes a novel cloud-based approach to generate a knowledge graph by indexing structured and unstructured data and creating a single knowledge graph. We have provided details about implementation approaches in two popular cloud providers, namely Azure and AWS. We have implemented the approach on the dataset provided by the Bureau of Safety and Environmental Enforcement (BSEE) [4], which belongs to the oil and gas domain. The concepts detailed in the paper can be implemented using other cloud providers and can be extended to other industries.
On the Sybil-Proofness of Accounting Mechanisms in P2P Networks

Online P2P file sharing networks rely on the cooperation of participants to function effectively. Agents upand download files to one another without the need for any central authority. If agents all contribute to the network and share roughly the same amounts of data as they contribute the network will operate, however if some agents decide to defect and consume far more resources than they contribute the file sharing will stagnate. In online networks with some kind of central authority, such as Ebay, Airbnb, etc. cooperation is achieved through a review system, which is maintained and secured by the central authority. P2P networks are however distributed and cooperation must be achieved without this central mitigator. One way of approaching this problem is by observing cooperative biological communities in nature. One finds that cooperation among biological organisms is achieved through a mechanism called indirect reciprocity. Indirect reciprocity is based on a reputation scheme in which agents share information about each other’s cooperativeness aiding one another in deciding who to interact with and who to shun. In this work we analyse properties a reputation mechanism must satisfy in order to achieve cooperation in P2P networks, incentivising contributions and penalising excessive comsumption of data. In particular, we determine under what conditions reputation mechanisms are resistant to attacks on the P2P network. We focus on one attack above all, namely that of a sybil attack in which a malicious agent creates multiple fake identities who report high levels of cooperativeness about one another. We determine properties accounting mechanisms must satisfy in order to prevent attackers from obtaining arbitrarily high reputation and to consequently be able to consume arbitrarily large amounts of data. This thesis offers a theoretical framework for evaluating the effectiveness of reputation mechanisms on the basis of their ability to induce cooperation and their resistance to sybil attacks.
Putting a Compass on the Map of Elections

Recently, Szufa et al. [AAMAS 2020] presented a map of that visualizes a set of 800 elections generated from various statistical cultures. While similar elections are grouped together on this map, there is no obvious interpretation of the elections' positions. We provide such an interpretation by introducing four canonical extreme elections, acting as a compass on the map. We use them to analyze both a dataset provided by Szufa et al. and a number of real-life elections. In effect, we find a new variant of the Mallows model and show that it captures real-life scenarios particularly well.
A Comparison of Non Blind Image Watermarking Using Transformation Domain

Purpose : This study aims to know which of the algorithms had the better results for image processing by comparing these two algorithms for blind watermarking as the prevention of image plagiarism.Â  Methods : The DCT and HWT algorithms used to get better results.Â  Result : The results of this study indicate that HWT has better results for image processing, especially blind watermarking because the results with MSE, PSNR, and NC show that HWT has advantages in every aspect.Â  using 512x512 pixels grayscale image as cover image, the MSE result from HWT is 0.0004156 with PSNR 81.9440 better than MSE from DCT 0.003 with PSNR 73.2949.Â  Novelty: Robustness aspect has been tested using NC. DCT has good NC than HWT only in JPEG compression attack with value is 1, while another attack has better NC in HWT that yield close to 1.
국문연구소 위원들의 국어․국문 의식과 실천

The wording of the Korean Language Research Report in 1909 differed greatly among the center members. The members discussed and decided orthography of the Korean language, but the report included many Chinese words and phrases. Ju Shigyeong’s expressions included a few easy Chinese words and phrases relatively close to the spoken language and showed much recognition and use of the vernacular language. This position was followed by Ji Seogyeong. At that time, much Koreanology research was conducted in general, but those who later became pro-Japanese and lacked national consciousness showed poor awareness in the use of the vernacular language. Those with little research experience and career in the Korean language and literature showed similar aspects. Only two members of the center had professional knowledge, and most of others were non-experts. Therefore, it is regrettable to see that the discussions were not sufficiently profound and that the advanced practice of the Korean vernacular language was lacking in the discussions and research reports in terms of using contemporary Korean expressions.
Guides @ UF: Electronic Theses and Dissertations (ETDs): Projects in Lieu of Theses

also known as non-traditional thesis projects; these are graduate terminal projects submitted instead of the traditional thesis required by some programs.
Analysis of the media literacy discourse of coaches and players of the Iranian Football Premier League during the Corona pandemic based on the EC model

The present study sought to provide a complete analysis of the discourses of Iranian Premier League coaches and football players during the Corona virus pandemic. The method of the present study was qualitative with the approach of discourse analysis of sports newspaper headlines. The headlines of the sample newspapers from February 2020 to June 2020 were reviewed. The present study examines discourse analysis with a structural approach, the discourse of coaches and football players in terms of what, why and how parameters and, also this paper analyzed and coded the general dimensions of the EC model of media literacy. The total frequency of the obtained codes was 134. In terms of discourse analysis, the most frequent code was the what parameter. In general, the emotional dimension of media literacy had the most frequency versus the rest. Also, in terms of the EC model, the dimension of individual capabilities (personal component) has had the highest frequency in the discourses of coaches and athletes. The research provided a theoretical framework of the components studied in the research. Therefore, future researchers can use this framework as a theoretical basis for future qualitative and quantitative research.
Good Fences Make Good Neighbors

For AI-controlled mobile platforms, avoiding collisions with walls and boundaries is an important safety requirement. This is a problem especially for fast-moving aerial vehicles, such as fixed-wing aircraft, that cannot be brought to a stop in an emergency. To enable geographic confinement of such AI-controlled vehicles, we present a formally verified algorithm for predicting geofence violations and selecting a safe maneuver that will keep the vehicle within the designated operations area. The algorithm is based on a higher-order dynamics model that generalizes circular turns using linearly changing centripetal acceleration and allows handling of uncertainty in model parameters. The proposed algorithm was implemented along with extensions to handle non-determinism, and flight-tested on an autonomous aircraft.
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An Application Study of Open Quality Concept with Blockchain System

The importance of Open Quality Concept is to assist the organizations or companies in measuring, tracking, and connecting (MTC) quality factors so that the level of quality can be accounted for transparently. Through blockchain technology, previous research has established an Open Quality Blockchain System that connects integrated processes to monitor the level of quality of products or services to meet customer needs. In order to demonstrate the system, this paper presents an application of the open quality concept by applying a blockchain system to the small research lab. By adopting the concept of Quality Scorecard (QSC), we attained the quality aspects as performance measures. Then, the measurement and analysis processes are sustainably done to provide improvement evaluation which is monitored in real-time. We continually updated the data to synchronize with the latest conditions. Thus, this study contributed to the application of open quality concept and contextualize blockchain system to encourage quality responsibility in the era of industry 4.0.
INFLUENCE OF SOCIO-ECONOMIC FACTORS ON SUSTAINABILITY OF WOMEN GROUPS IN VIHIGA COUNTY

The main objective of this study was to investigate influence of socio-economic factors on sustainability of women groups in Vihiga County, Kenya. The study’s specific objectives were to establish influence of access to fund on sustainability of women group in Vihiga County and to determine influence of enterprise management skills on sustainability of women group in Vihiga County. The study used capital formation theory and collective action theory to support the research variables. Descriptive research design was used in the study. The study targeted chairperson, secretary and treasury from women groups in Vihiga County . Sampled respondents were selected using stratified random sampling techniques. The study used primary data which was collected using structured questionnaires. Pilot test was conducted to test validity and reliability of data collection tools. Descriptive and inferential analysis was done by the use of Statistical Package for Social Sciences (SPSS 23) and presented through percentages, means, standard deviations and frequencies. For variable relationships, inferential analysis was examined and analyzed data was presented by use of tables, figures and models. Using Pearson correlation coefficient, the findings established a direct and positive relationship between sustainability of women groups and independent variables; access to fund and enterprise management skills. Further inference using multiple linear regressions showed the proportionate contribution of socio-economic factors towards sustainability of women groups. This study observed that the access to fund showed the positive predictive power towards sustaining women groups. The study also established that enterprise management skills have significant influence on sustainability of women group in Vihiga County. The study recommended that women groups find out various ways of raising funds other than from their own contributions and invest prudentially. The study also recommended that women through their various women groups should be trained and equipped with skills by women and gender departments in the county government. Key Words: Access to Funds, Women Groups, Enterprise Management Skills, Sustainability CITATION: Maruti, K. N., Miroga, J., &amp; Otinga, H. (2021). Influence of socio-economic factors on sustainability of women groups in Vihiga County. The Strategic Journal of Business &amp; Change Management, 8 (2), 261 – 274.
최초의 선교사 알렌(Allen)의 A Language Book of Korean에 대한 연구

This discussion is an analysis of the incomplete version of the study book, A Language Book of Korean, written by Allen, a foreign missionary who entered Korea during the Joseon era for medical missionary purposes. This book is worthy as a source for how early Joseon language textbooks were compiled, as efforts to learn Korean were revealed for the first time. In this book, we examine the characteristics of vocabulary items by dividing them into general vocabulary and medical terminology sections. In the general vocabulary section, vocabulary used in everyday life is introduced to enable communication in Joseon. The medical terminology section introduces Korean medical terms for medical missionary purposes. In the latter case, the words are presented in alphabetical order (i.e., A to Z) for the convenience of foreign missionaries such as the author himself.
A Systematic Literature Review of Research on Digital Reading : Focusing on Studies in the Field of Korean Language Education

This study reviewed 41 domestic studies using a systematic literature analysis method to investigate the kind of research conducted in relation to digital reading in the research field of Korean language education. First, overall trends such as publication year, school level, and research method were examined. Studies on digital reading began in 2004 in the field of Korean language education, and a total of forty-one studies were selected. Among the 41studies, eleven studies (27%) were conducted on digital reading at the secondary school level.In addition, based on Coiro’s (2020) heuristics on digital reading, this study examines, how Korean digital reading studies were conducted in terms of text, readers, activities, and contexts. Regarding text, most (78%) focused on reading Internet text in an open Internet environment. Regarding readers, eight studies (44%) related to readers’ cognitive capabilities , followed by studies related to reading dispositions (39%). Regarding activity, with 7 items, online inquiry to solve problems ranked the highest. In case of context, most studies on digital reading in Korean language education are on reading on Internet web pages using computers. Based on this systematic literature review, this study proposes the following two discussions.
Improving Quality Of Teacher Of Science Through Training Using Simple Colorimetric Analysis Tools Based On Digital Image With Scanner

Colorimetry is a quantitative analysis technique for colored samples, which is used to determine composition (concentration). Technological advancements led to the discovery of modern (instrumentation) tools to complete the colorimetric analysis received by UV-VIS spectrophotometers especially in SMA / MA schools. UV-Vis Spectrophotometers are rarely owned because they are expensive. The impact is limited practicum activities in SMA / MA schools even though practical activities are needed to provide proof of a theory. Therefore, alternative laboratory tools are needed to overcome this problem, including a simple digital imaging based colorimetric analysis tool using a scanner. In order for this alternative tool to be known in the school environment, socialization is needed, namely by training and simulation. The training method used to explain the concept of digital imaging-based colorimetric analysis is supported by demonstration examples of determining the content (concentration) of a substance in the sample. This method is used as training in the operation of digital imaging techniques by using a scanner to obtain images from the sample. Simulation method is used to indicate a software application that can be used to change the image  of the imaging results into light intensity (I) then convert to light absorption value (absorbance). It can be concluded that the digital imaging technique using a scanner can be used as an alternative tool to replace UV-Vis spectrophotometer in determining the content (concentration) of substances in the sample and as a support for science / Biology / Chemistry learning in schools. The response of the participants who participated in this activity was very good and they were motivated to apply it in school
코퍼스를 활용한 고빈도 프랑스어 동사 번역 유형 비교 연구

The keyword search and the resulting vocabulary context index show a constant length of vocabulary around the keyword. On the other hand, observing the vocabulary that appears together in a specific context relies primarily on the analysis of co-occurrence. And was the purpose of this study to observe phrases translated regularly into the parallel corpus.In this study, the search perimeter was reduced and limited to 10 high-frequency French verbs used in the literary works of Camus and Saint-Exupery. In particular, because of the characteristics of the context, the relationship between their different translations has been reviewed. When studying the direct association between words in the corpus, it may be more effective to observe the vocabulary context index based on the existing keyword search rather than on the analysis of co-occurrence.It cannot be concluded that this method of comparative analysis is the most appropriate method for analyzing the context in the corpus. Although the results of the method of analysis presented in this study are extremely formal, they can be effectively used by human researchers to explain the translation phenomenon.
Analysis of a Generalized Expectation-Maximization Algorithm for Gaussian Mixture Models: A Control Systems Perspective

The Expectation-Maximization (EM) algorithm is one of the most popular methods used to solve the problem of parametric distribution-based clustering in unsupervised learning. In this paper, we propose to analyze a generalized EM (GEM) algorithm in the context of Gaussian mixture models, where the maximization step in the EM is replaced by an increasing step. We show that this GEM algorithm can be understood as a linear time-invariant (LTI) system with a feedback nonlinearity. Therefore, we explore some of its convergence properties by leveraging tools from robust control theory. Lastly, we explain how the proposed GEM can be designed, and present a pedagogical example to understand the advantages of the proposed approach.