Reviewerly/exHarmony huggingface dataset:
해외 한국학/한국어교육 확산을 위한 모듈형 온 ·오프라인 교육 방안

Modular online and offline education method for the expand of Korean studies/Korean language education overseas. The purpose of this study is to present a plan for developing a convergent education program online and offline as a way to expand Korean language education overseas. To this end, we will take a look at online and offline learning from a system perspective and look at the modular curriculum in terms of development of the curriculum as an approach to expand support for overseas Korean language education, and based on these review, present a plan for developing an onand off-line convergent modular curriculum. It is the professionalism of teachers that has the most direct impact on the quality of Korean language education. However, a lot of experiences and resources must be invested in training teachers with expertise. In addition, Korean language teachers at foreign university have sufficient expertise, but a lack of competent teachers compared to overseas demand, and the financial burden of sending teachers on faculty level is considerable. Development of an on- and off-line convergent curriculum can provide solutions to these difficulties. Modular online courses to be distributed abroad through the convergent-integrated curriculum should be developed, including ways to utilize local operating agent.
利用图像描述与知识图谱增强表示的视觉问答(Exploiting Image Captions and External Knowledge as Representation Enhancement for Visual Question Answering)

“视觉问答作为多模态任务,需要深度理解图像和文本问题从而推理出答案。然而在许多情况下,仅在图像和问题上进行简单推理难以得到正确的答案,事实上还有其它有效的信息可以被利用,例如图像描述、外部知识等。针对以上问题,本文提出了利用图像描述和外部知识增强表示的视觉问答模型。该模型以问题为导向,基于协同注意力机制分别在图像和其描述上进行编码,并且利用知识图谱嵌入,将外部知识编码到模型当中,丰富了模型的特征表示,增强模型的推理能力。在OKVQA数据集上的实验结果表明本文方法相比基线系统有1.71%的准确率提升,与先前工作中的主流模型相比也有1.88%的准确率提升,证明了本文方法的有效性。”
초등교사 직무연수의 프로그램 설계 방향：2017년 강원도 성과를 중심으로

The purpose of this study was to analyze the effect of in-service training for elementary school teachers and present the direction of designing an in-service training program that aims to improve the professionalism of elementary teachers in the future. To this end, the in-service training (population) data completed by elementary school teachers in Gangwon province in 2017 were thoroughly analyzed using a content analysis method. As a result, the types of in-service training for elementary school teachers were classified into six major categories: [teacher development and expertise], [children's understanding], [teacher's understanding], [curriculum and instruction], [teacher job], and [response to change]. As sub-areas, 18 middle categories and 84 small categories were derived. In addition, through cross-analysis and frequency analysis of the results, the difference between each area of interest according to the teaching experience of elementary school teachers was analyzed and discussed. Based on these results, the direction of in-service training was composed of three areas. First, the purpose of in-service training: improvement of professionalism of elementary school teachers, second, composition of in-service training content: strengthening of competence as homeroom teachers, third, in-service training application criteria (method): balance between obligation (accountability) and autonomy. In the discussion it is revealed that being an elementary school teacher is an occupation that has to constantly pursue professionalism through continuous in-service education after initially becoming teacher.
LibGuides: WSDOT Library: Legal Resources

Links to resources useful to employees of the Washington State Department of Transportation and beyond.
Attainable Text-to-Text Machine Translation vs. Translation: Issues Beyond Linguistic Processing.

Existing approaches for machine translation (MT) mostly translate given text in the source language into the target language and without explicitly referring to information indispensable for producing proper translation. This includes not only information in other textual elements and modalities than texts in the same document and but also extra-document and non-linguistic information and such as norms and skopos. To design better translation production work-flows and we need to distinguish translation issues that could be resolved by the existing text-to-text approaches and those beyond them. To this end and we conducted an analytic assessment of MT outputs and taking an English-to-Japanese news translation task as a case study. First and examples of translation issues and their revisions were collected by a two-stage post-editing (PE) method: performing minimal PE to obtain translation attainable based on the given textual information and further performing full PE to obtain truly acceptable translation referring to any information if necessary. Then and the collected revision examples were manually analyzed. We revealed dominant issues and information indispensable for resolving them and such as fine-grained style specifications and terminology and domain-specific knowledge and and reference documents and delineating a clear distinction between translation and what text-to-text MT can ultimately attain.
LibGuides: LibGuide Best Practices: Maintenance and Updating

TCC Library's best practices, standards, and guidelines to follow when creating and updating LibGuides.
Sarcasm Detection in Text Data Using Glove Embedding

Abstract: Sarcasm is a way of expressing feelings in which people say or write something which is completely different or opposite to what they actually mean to say. Hence it is very difficult to identify sarcasm . It is usually an ironic or satirical remark tempered by humor. Mainly, people use it to say the opposite of what's true to make someone look or feel foolish. Understanding the sarcasm can improve the accuracy of sentiment analysis. Sentiment analysis (or opinion mining) is a natural language processing technique used to determine whether data is positive, negative or neutral. This helps in identifying what the opinions of users or individual or society are. In this project an attempt is made to develop a model to detect if a sentence is sarcastic or if it is not sarcastic. Keywords: Sarcasm detection, GloVe Embedding, LSTM, Natural Language Processing, Sentiment
USING INSTAGRAM AS A MEDIUM IN WRITING ACTIVITY: DID IT IMPROVE STUDENTS’ WRITING QUALITY?

Within the fields of education, the emergence of technology and social media has brought innovation and one of these is language. In real life, students rely not only on academic and social-life digital devices such as computers, ipads, and smartphones, but also on social media. It is presumed that the implementation of social networking sites (SNS) such as the Instagram app into the classroom would have several beneficial impacts on students, especially in the English writing class. Most students claim that writing, because of its complexity, is the most challenging skill to master. Therefore, this study aims to find out Instagram's impact on the eighth grade students in their writing efficiency. This analysis had been planned by quantitative research. Applying non-randomized sampling, this study involved two groups that were; the category of experiments and controls. There were 37 experimental group students in participation, meanwhile 27 control group students were involved. During the treament, the researcher used Instagram as a medium in writing tasks, while the control group was being taught conventionally. The research instruments were paper-based test and writing rubric assessment. The data was derived from the analyses of pre-test and post-test. Therefore the researcher used T-test calculation to calculate the results. As a result, the post-test based on paper revealed that the experimental group had a mean score of 76; while the control group was 76.74 higher. On the other hand, post-test significance level (p-value) was below 0.05, resulted in 0.000. In short, it can be presumed that Instagram can affect the writing quality of the students. Keywords: Instagram, writing skills, writing quality.
On conditions of solvability of a nonlinear boundary value problem for a system of differential equations with a delay argument: Narkesh B. Iskakova, Svetlana M. Temesheva, Aziza D. Abildayeva

In this paper, we consider a boundary value problem with essentially nonlinear two-point boundary conditions for a system of linear differential equations with a delay argument. To study this problem, we use the parametrization method of D.S. Dzhumabaev with a modified algorithm. The application of the parametrization method leads to a nonlinear operator equation, which is solved using the amplification of the sharper version of the local Hadamard theorem. A theorem on sufficient conditions for the existence of an isolated solution of the problem is proved.
A Fast Selection Based on Similar Cross-Entropy for Steganalytic Feature

The mutual confrontation between image steganography and steganalysis causes both to iterate continuously, and as a result, the dimensionality of the steganalytic features continues to increase, leading to an increasing spatio-temporal overhead. To this end, this paper proposes a fast steganalytic feature selection method based on a similar cross-entropy. Firstly, the properties of cross-entropy are investigated, through the discussion of different models, and the intra-class similarity criterion and inter-class similarity criterion based on cross-entropy are presented for the first time. Then, referring to the design principles of Fisher’s criterion, the criterion of feature contribution degree is further proposed. Secondly, the variation of the cross-entropy function of a univariate variable is analyzed in principle, thus determining the normalized range and simplifying the subsequent analysis. Then, within the normalized range, the variation of the cross-entropy function of a binary variable is investigated and the setting of important parameters is determined. Thirdly, the concept of similar cross-entropy is further presented by analyzing the changes in the value of the feature contribution measure under different circumstances, and based on this, the criterion for the feature contribution measure is updated to decrease the complexity of the calculation. Remarkably, the contribution measure criterion devised in this paper is a symmetrical structure, which equitably measures the contribution of features in different situations. Fourth, the feature component with the highest contribution is selected as the final selected feature based on the result of the feature metric. Finally, based on the Bossbase 1.01 image base that is a unique standard and recognized base in steganalysis, the feature selection on 8 kinds of low and high-dimensional steganalytic features is carried out. Through extensive experiments, comparison with several classic and state-of-the-art methods, the method designed in this paper attains competitive or even better performance in detection accuracy, calculation cost, storage cost and versatility.
Modern philosophy of inclusive education of deaf students

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
An Optimized way to Solve Regression Problems

In many real world scenarios, regression is a commonly used technique to predict continuous variables. In case of noisy(inconsistent) and incomplete datasets, a large number of previous works adopted complex non traditional machine learning approaches in order to get accurate predictions. However, compromising on time and space overheads. In this paper, we work with complex data yet by using traditional machine learning regression algorithms by working on data cleaning and data transformation according to the working principle of those machine learning algorithms.
LibGuides: Science Communication Guide: Blogging and Podcasting

Resources to support the MSU science community in effectively sharing research with the academic, scientific, and public audiences.
NON-EQUIVALENCE TRANSLATION AT WORD LEVEL FROM MANDARIN TO INDONESIAN IN HIGHSCHOOL/MA MANDARIN TEXTBOOK

This research aimed to analyze the non-equivalence translation at the word level, including translation strategy to solve the non-equivalence translation result from Mandarin to Indonesian in the Highschool/MA Mandarin textbook published Depdikbud. This research used the qualitative research method. This research proves 24 non-equivalence translation data from the source language (Mandarin) to the target language (Indonesian) at the word level. Non-equivalencies in the translation from Mandarin to Indonesian are caused by the misunderstanding word, phrases, or expressions in the source language. The translator can use the strategy to get the equivalent translation at the word level primarily by using the more familiar word and closer to the level from the source language (Mandarin) and using paraphrase.
CACHE: Contextual Approach for Cultural Heritage Enhancing

In the panorama of Italian coastal tourism, there are many unique and unexplored places.These places, which suffer from the lack of government investment, present the need to be promoted through low consumption systems and widely used distributed applications.The present work aims to develop innovative solutions to support citizens and tourists to offer advanced services, highly customizable, able to allow, through the use of new technologies, a more engaging, stimulating, and attractive use of information than the current forms.The developed system is based on graph-based formalisms such as Context Dimension Tree and Bayesian Networks, representing the context through its main components and react to it anticipating users' needs.Through the development of a mobile app, it was analyzed a case study applied in the area of Amalfi Coast (in Italy).Finally, an experimental campaign was conducted with promising results.
The JeuxDeMots Project (Invited Talk)

The JeuxDeMots project aims at building a very large knowledge base in French, both common sense and specialized, using games, contributory approaches, and inference mechanisms. A dozen games have been designed as part of this project, each one allowing to collect specific information, or to consolidate the information acquired through the other games. With this presentation, the data collected and constructed since the launch of the project in the summer of 2007 will be analyzed both qualitatively and quantitatively. In particular, the following aspects will be detailed: the structure of the lexical and semantic network, some types of relations (semantic, ontological, subjective, semantic roles, associations of ideas), annotation of relations (meta-information), semantic refinements (management of polysemy), the creation of clusters allowing the representation of richer knowledge (n-argument relations) that make an implicit neural network. Finally, I will describe some complementary acquisition methods and applications such as a bot for endogenous contributions, a chatbot making inferences and semantic extraction from texts.
RESEARCH ON THE APPLICATION OF “PRODUCTION-ORIENTED APPROACH” BASED ON BLENDED TEACHING IN COLLEGE ENGLISH WRITING TEACHING IN PRIVATE UNDERGRADUATE COLLEGES

The “production-oriented approach” or POA theory believes that foreign language teaching should embrace such focus as “learning-centered”, “learning and use integration” and “key capabilities cultivation”. Besides, foreign language teaching should be designed as a process that starts with production and ends with production. In view of the merits of network resources and platforms in blended teaching mode as well as teaching process of “driving, facilitating, and evaluating” in POA, this paper explores the combination of POA and blended teaching to research on the feasibility and effectiveness of applying it to the teaching of college English writing in private undergraduate colleges. By analyzing the relevant research theoretical basis and research status, the author further elaborates on the specific implementation process of applying POA based on blended teaching in the college English writing teaching of private undergraduate colleges from the aspects of research significance research subjects, research methods, research content and data analysis. In terms of research content, the author specifically expounds the procedures from such detailed parts as before-class stage: production drive + online autonomous learning, in-class stage: input facilitating + offline classroom teaching, after-class stage: evaluation to promote learning + online correction and classroom display. This paper is expected to promote students’ writing interests and proficiency so as to provide a valuable reference for the reform of college English writing teaching methods.
ANALYZING THE EFFECT OF DENSITY VALUE DEVIATION ON PRINT QUALITY

The quality control activities, in particular the measurement of density values, are part of the quality control parameters carried out by each company. Companies sometimes forget about the quality parameters of the name, even though the quality can give the printed products a good guarantee in the eyes of consumers. To achieve the quality level, of course, the business does not stand idle, there are several things that need to be done or provided by the business to support the quality, namely man (human), machine (machine), material (material), and method (method). In the development of technology in an increasingly advanced digital world, companies want to continue to compete with a digital world by making inroads, this of course gives the products produced by the company a good or a good level of quality. In this discussion, there is an identification of problematic aspects arising from the deviation of density values as well as ways to obtain standard density values and factors that affect the quality of prints on book cover prints using a Heidelberg machine.Keywords—Quality Control, Density, Standart, Product, Deviation
Building an Intelligent Agent to play Flappy Bird using NEAT

Games are an efficient way to measure the progress of AI. Artificial intelligence has been making rapid advances in recent years, and one way to see how it is progressing is by playing games. Go, Atari2600 and Chess are some AI agents which even defeated human players. These AI agents require or have a training stage involved. In this paper, we propose a training strategy to develop an Artificial Intelligence agent using the NeuroEvolution of Augmenting Topologies (NEAT) algorithm to play the Flappy Bird Game. NEAT basically implements a genetic algorithm that generates ANNs. Our agent learns to safely dodge all the barriers and flap its way through them, optimally playing the famous “Flappy Bird” game.
The students' attitudes towards using E- learning in Riyadh's middle schools: اتجاهات الطلبة نحو استخدام التعلم الإلكتروني في المدارس المتوسطة بمدينة الرياض

The study aimed to identify students’ attitudes towards using E- learning in Riyadh's middle schools. The study used the descriptive survey approach to achieve the objectives of the study. The researcher also used the Al- Dhale’i questionnaire (2017) as a study tool, consisting of (20) paragraphs, after making sure of its validity and reliability. The study sample consisted of (150) middle school students in Riyadh, (75) male and (75) female students. The results concluded that the students' attitudes towards using E- learning in Riyadh's middle schools is on a moderate degree, with an arithmetic average (2.32). The results also revealed that there were statistically significant differences at the level of significance (α ≤ 0.05) according to the gender variable, and they were in favor of male students, and there were no statistically significant differences at the level of significance (α ≤ 0.05) according to the grade variable. The study came out with a set of recommendations, including the necessity of educating students about the importance of E- learning, as well as encouraging students to use E- learning for their education, also providing the necessary tools in educational environments that allow students to use E- learning.
Lifelong learning and self-improvement – socio and psycho-pedagogical opportunities to streamline the development of scientific thinking in teachers

The article represents a theoretical study, which elucidates the self-improvement of teachers and socio-psycho-pedagogical opportunities to streamline the development of scientific thinking in the context of education and training throughout life. The author analyzed the specifics of the components of scientific thinking from the perspective of streamlining their development, capitalizing on the nominated opportunities, including practically exploring the possibilities of the theory of enneatypes / enneagrams in the process of education and self-education.
PENGARUH METODE PAIRED STORY TELLING TERHADAP KETERAMPILAN BERBICARA SISWA KELAS IV SDN GUGUS 8 KECAMATAN JANAPRIA

The purpose of this research is to understand the influence of using Paired Story Telling method toward the speaking skill of fourth grade students at SDN Gugus 8 in Subdistrict Janapria academic year of 2020/2021. This research is experimental research. Samples of this research are including 16 fourth grade students of SDN 2 Bakan and 16 fourth grade students of SDN 1 Selebung. The method of collecting data in this research are using observation and performance test to the sample students. Speaking skill datas are collected by the speaking skill assessment rubric. All of the collected data then analyzed with inferential statistic (T-test) that should pass some prerequisite tests, such as normality test and homogeneity test. Based on the prerequisite tests, all of the data stated as normal and have homogeneity variant. Furthermore to verify the hypothesis by using the Independent Sample T-test that indicate the sig`2 tailed speaking skill value in the amount of 0.046 less than 0.05 (0.046 ˂ 0.05). This showed that the alternative hypothesis (Ha) is accepted and zero hypothesis (H0) is rejected. The conclusion of this research is to indicate the positive and siginificant influence of Paired Story Telling method to improve student’s speaking skill, especially fourth grade students at SDN 1 Selebung and SDN 2 Bakan in Subdistrict Janapria academic year of 2020/2021, so that in the future this method could be use by the teacher to improve student’s speaking skill.
The Impact of Short-Form Content Types and Use of Motivation on Content Consumption of Youth

This study is aimed at examining what content is consumed according to the type of shortform, which is currently the most popular content type.Furthermore, the study also examined if the type of short form platform is affecting the content theme and the consumption of such content is varied.A survey of 218 teenagers (108 men and 110 women) who consume a lot of short form contents was conducted on high school students in Busan.The researchers wanted to discover if the motivation for content consumption can affect sustainability and verbal use.As a result, according to the first type of shortform, the content consumption was looked at in the order of YouTube(Shorts) > Instagram(Reels) > Facebook(Watch) > TikTok.There were also differences in gender.Various topics were appearing for each platform type.The second factor analysis was used to extract the factors for use motivation and use satisfaction.Results on motivation for use (fun, usefulness, ease of use) and satisfaction (use continuity, reliability, oral intention) both showed statistically significant results.Thirdly, the results of the analysis on inconvenience and satisfaction of use showed significant results only in oral effects.By analyzing differences in shortform content at a time when it is currently being serviced on all major platforms, it was possible to predict the shortform content market that is in full swing in the future.In addition, differences in usage by gender and theme could be found depending on the shortform platform, which could provide an important guide line when establishing advertising strategies.