Reviewerly/exHarmony huggingface dataset:
A Study on the Policy Metaphor in the Policy Process of Autonomous Private High School

본 연구는 자율형 사립고 정책과정에서 나타난 정책은유의 양태를 밝히는 것을 목적으로 한다. 이를 위해 자율형 사립고 정책의 형성&#8228;집행&#8228;평가 단계를 중심으로 정책은유는 누가 언제 어떠한 모습으로 사용하고 있는가(정책은유의 사용), 정책은유에 담긴 정책신념은 무엇이고 정책옹호연합과의 관계는 어떠한가(정책은유의 공유), 정책은유가 부각&#8228;은폐시키는 것은 무엇이고 그 안에 담긴 프레임은 무엇인가(정책은유의 작동)라는 연구문제를 설정하였다. 연구 결과 자율형 사립고 정책과정에서 찬성측은‘붕어빵 찍어내기식 교육’,‘자사고 죽이기’,‘자사고 말살 평가’, 반대측은‘귀족학교’,‘고교 카스트 제도’,‘교육 적폐’등과 같은 자극적이고 일면화된 정책은유를 사용하였다. 이러한 정책은유는‘시장주의’와‘국가주의’등의 정책신념을 반영하였으며, 동일한 정책신념을 갖는 행위자들끼리 공유되며 정책옹호연합의 형성과 유지를 매개하였다. 그리고 정책은유는 자신들에게 유리한 측면은 부각시키고 불리한 측면은 은폐시키며 특정 프레임을 작동시켰고, 이는 정책경쟁상황에서 비합리적 기제로 활용되면서 정책에 대한 합리적 접근을 방해하고 찬반 연합 간의 극단적인 감정 대립을 유발하였다.The purpose of this study is to reveal the pattern of policy metaphor in the policy process of autonomous private high schools. To this end, the following research issues were set up: Who is using policy metaphor and how they are used? What is the policy belief in policy metaphor, and what is the relationship with policy advocacy coalition? What is policy metaphor highlighting, what is hidden, and what is the frame in it? Studies have shown that in the policy process of autonomous private high schools, policy actors have used stimulated and uncoordinated expressions. Administration, private school organizations, KFTA and conservative media used such as‘fish-shaped bun printing eduction’,‘killing an autonomous private high school’,‘autonomous private high school extermination policy’. Meanwhile, the New Progressive Party, KTU, the Parents Association for True Education and the progressive press used such as‘noble private school’,‘high school caste’and‘eduction old evils. These policy metaphor reflected the policy beliefs of‘marketism’and‘nationalism’, and shared among actors with the same policy beliefs and mediated the formation and maintenance of a policy advocacy coalition. And policy metaphors have activated certain frames, highlighting the advantages and hiding the disadvantages. Metaphor interfered with rational approaches to policy in the context of policy competition, used as an unreasonable mechanism, and caused extreme confrontation between pros and cons.
Design and Analysis of Object Behavior in Media Content-User Relationship Network Model

The application of new media technologies and artificial intelligence technologies has promoted the prosperity of the Internet. The connection between web users and media content resources is deepening. Studying the relationship between media content and web users has become our focus. In this paper, using the theory of complex network and the Agent theory, the attribute information of media content and web users are analyzed, the objects and object clusters are classified and defined, and the behavior mechanism of related objects is designed and analyzed to realize the intelligence of the relationship network. The classification and behavior mechanisms of the objects will provide theoretical premise for realizing the visual analysis of the relationship between media content and web users, and lay the foundation for further model design.
Hybrid Mortality Prediction using Multiple Source Systems

The use of artificial intelligence in clinical care to improve decision support systems is increasing. This is not surprising since, by its very nature, the practice of medicine consists of making decisions based on observations from different systems both inside and outside the human body. In this paper, we combine three general systems (ICU, diabetes, and comorbidities) and use them to make patient clinical predictions. We use an artificial intelligence approach to show that we can improve mortality prediction of hospitalized diabetic patients. We do this by utilizing a machine learning approach to select clinical input features that are more likely to predict mortality. We then use these features to create a hybrid mortality prediction model and compare our results to non-artificial intelligence models. For simplicity, we limit our input features to patient comorbidities and features derived from a well-known mortality measure, the Sequential Organ Failure Assessment (SOFA).
An Axiomatic Study of Query Terms Order in Ad-Hoc Retrieval

Classic retrieval methods use simple bag-of-word representations for queries and documents. This representation fails to capture the full semantic richness of queries and documents. More recent retrieval models have tried to overcome this deficiency by using approaches such as incorporating dependencies between query terms, using bi-gram representations of documents, proximity heuristics, and passage retrieval. While some of these previous works have implicitly accounted for term order, to the best of our knowledge, term order has not been the primary focus of any research. In this paper, we will show that documents that have two query terms in the same order as in the query have a higher probability of being relevant than documents that have two query terms in the reverse order. Using the axiomatic framework for information retrieval, we introduce a constraint that retrieval models must adhere to in order to effectively utilize term order dependency among query terms. We modify two existing robust retrieval models based on this constraint. Our empirical evaluation using both TREC newswire and web corpora demonstrates that the modified retrieval models significantly outperform their original counterparts.
TSRuleGrowth : Extraction de règles de prédiction semi-ordonnées à partir d'une série temporelle d'éléments discrets, application dans un contexte d'intelligence ambiante

This paper presents a new algorithm: TSRuleGrowth, looking for partially-ordered rules over a time series. This algorithm takes principles from the state of the art of rule mining and applies them to time series via a new notion of support. We apply this algorithm to real data from a connected environment, which extract user habits through different connected objects.
Statistical Voice Conversion with Quasi-Periodic WaveNet Vocoder

In this paper, we investigate the effectiveness of a quasi-periodic WaveNet (QPNet) vocoder combined with a statistical spectral conversion technique for a voice conversion task. The WaveNet (WN) vocoder has been applied as the waveform generation module in many different voice conversion frameworks and achieves significant improvement over conventional vocoders. However, because of the fixed dilated convolution and generic network architecture, the WN vocoder lacks robustness against unseen input features and often requires a huge network size to achieve acceptable speech quality. Such limitations usually lead to performance degradation in the voice conversion task. To overcome this problem, the QPNet vocoder is applied, which includes a pitch-dependent dilated convolution component to enhance the pitch controllability and attain a more compact network than the WN vocoder. In the proposed method, input spectral features are first converted using a framewise deep neural network, and then the QPNet vocoder generates converted speech conditioned on the linearly converted prosodic and transformed spectral features. The experimental results confirm that the QPNet vocoder achieves significantly better performance than the same-size WN vocoder while maintaining comparable speech quality to the double-size WN vocoder. Index Terms: WaveNet, vocoder, voice conversion, pitch-dependent dilated convolution, pitch controllability
English Raising Predicates and (Non-)Finite Clauses

In this paper, we present a diachronic and synchronic analysis of raising and extraposition constructions in the historical Brown Corpus and the more contemporary English Web Corpus 2015 . We begin by establishing two diachronic facts: first, raising constructions are used much more frequently than their semantically equivalent extraposition variants, and second, the distribution of raising and extraposition remains – rather exceptionally in comparison to other structures allowing for finite/non-finite variation – diachronically consistent from the beginning of the 20th century to 2015. We then supplement this unique diachronic distribution with an analysis of the most recent corpus data, which shows that the choice between the two semantically equivalent constructions is governed by distinct structural factors unique to each construction. Concretely, we show that the raising construction is frequently used as a relative clause, whereas the extraposition variant generally resists such a syntactic role. By contrast, we show that a prominent factor in favour of extraposition relates to the negative marker, which is placed with similar frequency both in the matrix and in the embedded clause of the extraposition construction in contrast to the raising variant, which uses the negative marker almost exclusively in the matrix clause. Lastly, we show that extraposition constructions contain modal verbs in the matrix clause more frequently than the raising variants and we tie this observation to the idea that the clausal composition of the extraposition construction is structurally more suited for expressing tentativeness.
LOJİSTİK ENDÜSTRİSİNİN GELECEĞİ

Industry 4.0 increases demand by reorganizing production logistics and logistics organizations. Industry 4.0 the industrial revolution improves the productivity by using technology in the most efficient way. It makes a big difference compared to the previous industrial revolutions. Many activities such as removal of human errors, autonomous software, robots, unmanned vehicles, sustainability, 24/7 active systems, digitalization, reduction of costs in logistics activities, increase of speed and provision of environment suitable for the customer are combined and the activities in transportation become super Powers. The "fourth industrial revolution" that emerged in the United States and other developed countries, with Germany leading in Europe, is on the agenda of the whole world. Industry 4.0 consists of new business model through changing the processes in the Logistics Industry. As a result, it increases the power of the firms in the global market. This study investigates the change of the Industrial 4.0 revolution in the Logistics Industry.
Harvey Mudd College at SemEval-2019 Task 4: The D.X. Beaumont Hyperpartisan News Detector

We use the 600 hand-labelled articles from Se-mEval Task 4 (Kiesel et al., 2019) to handtune a classifier with 3000 features for the Hyperpartisan News Detection task.Our final system uses features based on bag-of-words (BoW), analysis of the article title, language complexity, and simple sentiment analysis in a naive Bayes classifier.We trained our final system on the 600,000 articles labelled by publisher.Our final system has an accuracy of 0.653 on the hand-labeled test set.The most effective features are the Automated Readability Index and the presence of certain words in the title.This suggests that hyperpartisan writing uses a distinct writing style, especially in the title.
Submission to ActivityNet Challenge 2019: Task B Spatio-temporal Action Localization

This technical report present an overview of our system proposed for the spatio-temporal action localization(SAL) task in ActivityNet Challenge 2019. Unlike previous two-streams-based works, we focus on exploring the end-to-end trainable architecture using only RGB sequential images. To this end, we employ a previously proposed simple yet effective two-branches network called SlowFast Networks which is capable of capturing both short- and long-term spatiotemporal features. Moreover, to handle the severe class imbalance and overfitting problems, we propose a correlation-preserving data augmentation method and a random label subsampling method which have been proven to be able to reduce overfitting and improve the performance.
Recognition of Sequence of Print and Ink Strokes: Investigation the Effect of Handwriting Pressure, Hue of Ink, Printer and Paper Type

By introducing of digital techniques, forensic document examiners has been encouraged to work with better accuracy in non-destructive ways. The aim of this study was to present a non-destructive, accessible, economic (affordable), user friendly, portable, useful and easy technique for specifying the order of crossing lines of ink stroke and printed text. The intersections of LaserJet and Inkjet prints in different colors and brands under various handwriting pressures and papers were examined with a digital microscope. The 2414 exemplars were prepared on two types of A4 papers. For the Inkjet printer, the sequence of printed text and ink stroke cannot be recognized. For LaserJet printer, the results showed the outcomes indicated using digital microscope is a good option in defining the sequence of pen-ink strokes in different colors and black toner in most examples. In the blue, black and red hues, the sequence of print and ink is recognizable in most cases. For green color, no specific results were observed.
Preface of the “Symposium on Computers, Modelling and Interactive Environments in Science, Technology, Engineering and Mathematics Education”

First Page
ANALISIS MANAJEMEN RISIKO SISTEM INFORMASI PERPUSTAKAAN UNIVERSITAS LAMPUNG MENGGUNAKAN METODE NIST SP 800-30

The rapid growth of implementing library information system causing a thrreatening risk. The main cause of the risk is from librarian it self that cannot evaluate which of the factor is a potential threat. This research intend to analyze the risk management of library information system in library of Lampung University, this research using NIST SP 800-30 method. This library information system risk management held for anticipating the source of threat by the following step risk assesment, risk mitigation, and risk evaluation. The result of this risk management is, late book returning, book disspearance, no backup data sejarah of damaged book, theres no matching between data in system and stock in library, data falsisication in borrowing book, redundant data, expired KTM, and lack of understanding when uploading skripsi by scholar. The from risk assesment for late book returning is high risk, to reduce and eliminate the impact of risk library of Lampung University do risk mitigation with early warning. The factor that influencing library information system Lampung University risk assesment is human resource that having and ability in information technology for convenience support to risk all risk in every circumstances
SOCIAL PROFILE OF MODERN SCHOOLERS AS EDUCATIONAL RESOURCE FOR MUSEUM PEDAGOGY

1 Language Institute Foreign Language Center (UNITED STATES)2 Institute of Art Education and Cultural Studies (RUSSIAN FEDERATION)
Students’ Anxiety on Their Public Speaking

The purpose of this research is to find out the anxiety of students when speaking in English in front of the public in SMK Teruna Padangsidimpuan. This study used qualitative research with descriptive methods. Data is taken from questionnaires and interviews with students. The results of this study indicated that students are at medium and serious level of anxiety because each student has different abilities. This shows that when a student speaks in front of the public they still feel anxious, especially because the anxiety factor is not confident, unable speak English and rarely appear in public.
THE DESIGN AND DISCUSSION OF ELITE EDUCATION IN COLLEGE MATHEMATICS

With the development of human civilization, higher education has undergone a change from elite education to mass education.In China, this change is particularly obvious, and higher elite education has been impacted greatly.While Chinese middle school students have kept excellent performs in the International Olympic Mathematics Competition, no Chinese mathematician from main land won the Fields Medal.How to train creative talents and train mathematicians with historical mission?We think that one of the important ways is to develop elite education.This paper discusses the elite education of the United States, and compares the teaching tools, teaching books and other aspects of higher mathematics education between China and the United States.We propose in this paper four concrete solutions to elite education under mass education.They are of reforming the teaching tools, enhancing students' innovative abilities, expanding international academic exchange and adopting the tutorial system to undergraduate students.Through the four solutions, it can serve as a reference for the development of elite education in mathematics and promote the organic integration of elite education and mass education.
Universal Person Re-Identification

Most state-of-the-art person re-identification (re-id) methods depend on supervised model learning with a large set of cross-view identity labelled training data. Even worse, such trained models are limited to only the same-domain deployment with significantly degraded cross-domain generalization capability, i.e. "domain specific". To solve this limitation, there are a number of recent unsupervised domain adaptation and unsupervised learning methods that leverage unlabelled target domain training data. However, these methods need to train a separate model for each target domain as supervised learning methods. This conventional "{\em train once, run once}" pattern is unscalable to a large number of target domains typically encountered in real-world deployments. We address this problem by presenting a "train once, run everywhere" pattern industry-scale systems are desperate for. We formulate a "universal model learning' approach enabling domain-generic person re-id using only limited training data of a "{\em single}" seed domain. Specifically, we train a universal re-id deep model to discriminate between a set of transformed person identity classes. Each of such classes is formed by applying a variety of random appearance transformations to the images of that class, where the transformations simulate the camera viewing conditions of any domains for making the model training domain generic. Extensive evaluations show the superiority of our method for universal person re-id over a wide variety of state-of-the-art unsupervised domain adaptation and unsupervised learning re-id methods on five standard benchmarks: Market-1501, DukeMTMC, CUHK03, MSMT17, and VIPeR.
PERSEPSI GURU TERHADAP PEMBELAJARAN APRESIASI CERITA PENDEK BERMUATAN PENDIDIKAN TOLERANSI

The objectives of study are: (1) to describe the character education that the teacher prioritized in learning short story appreciation, (2) the teacher's perception of the effectiveness of integrating tolerance education in short story learning, and (3) the teacher's perception of short story teaching materials containing tolerance education. This research is a qualitative descriptive study. The data are information or statements of teachers about tolerance education in short story appreciation learning. The data was taken from a data source, namely the Indonesian Language Subject teacher at SMA in Surakarta. Data collection techniques are interviews and questionnaires. Method triangulation techniques as data validation techniques. Interactive analysis techniques as data analysis techniques. The results of this study are as follows. (1) The character that is important to the teacher in learning short stories varies. Overall there are 19 characters that the teacher places importance on teaching. Each teacher attaches importance to 3-10 characters. The characters most chosen by teachers are tolerance (78%), responsibility (67%), and independence and honesty (44% each). (2) All teachers stated that effective tolerance education was integrated in short story appreciation learning, all teachers considered it important to integrate tolerance education into short story learning, and the majority of teachers (67%) stated that tolerance education was urgent to be implemented. (3) In connection with teaching materials, 78% of teachers stated that they had planned short story learning with the character education of tolerance, 78% of teachers had found short stories teaching materials containing education tolerance, and all teachers were willing to use short stories teaching material with tolerance education. Keywords : perception, learning, short story appreciation, tolerance
On the approximate shape of degree sequences that are not potentially $H$-graphic

A sequence of nonnegative integers $\pi$ is {\it graphic} if it is the degree sequence of some graph $G$. In this case we say that $G$ is a \textit{realization} of $\pi$, and we write $\pi=\pi(G)$. A graphic sequence $\pi$ is {\it potentially $H$-graphic} if there is a realization of $\pi$ that contains $H$ as a subgraph. Given nonincreasing graphic sequences $\pi_1=(d_1,\ldots,d_n)$ and $\pi_2 = (s_1,\ldots,s_n)$, we say that $\pi_1$ {\it majorizes} $\pi_2$ if $d_i \geq s_i$ for all $i$, $1 \leq i \leq n$. In 1970, Erd\H{o}s showed that for any $K_{r+1}$-free graph $H$, there exists an $r$-partite graph $G$ such that $\pi(G)$ majorizes $\pi(H)$. In 2005, Pikhurko and Taraz generalized this notion and showed that for any graph $F$ with chromatic number $r+1$, the degree sequence of an $F$-free graph is, in an appropriate sense, nearly majorized by the degree sequence of an $r$-partite graph. In this paper, we give similar results for degree sequences that are not potentially $H$-graphic. In particular, there is a graphic sequence $\pi^*(H)$ such that if $\pi$ is a graphic sequence that is not potentially $H$-graphic, then $\pi$ is close to being majorized by $\pi^*(H)$. Similar to the role played by complete multipartite graphs in the traditional extremal setting, the sequence $\pi^*(H)$ asymptotically gives the maximum possible sum of a graphic sequence $\pi$ that is not potentially $H$-graphic.
TEACHING AND LEARNING THROUGH VIDEOLESSONS: THEORIES AND METHODS

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 9587-9594ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.2384Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
MOTIVATION FOR TEACHING: HYPOTHESIS FOR MODELING IN INCOMING TRAINING

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 7924-7927ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1930Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
Pengembangan Profesionalisme Guru Melalui Pelatihan Penulisan Karya Tulis Ilmiah Pada MGMP Bahasa Inggris SMA Kabupaten Lombok Timur

PTeacher professionalism development in teaching career requires documents dealing with scientific writing published in a journal. It was found that the article published by the English teachers in East Lombok district was still small in number and one of the factors causing this was the teachers’ lack of knowledge and skill in writing. Considering this problem, there needs to be of any assistance for the teachers in coping with their writing problems. This civil service program was to assist and develop the teachers’ competence in writing a journal article. Lectures, discussions, and group work were employed within the program taking place in Senior High School 2 Aikmel East Lombok and there were 25 teachers participating in this program. The participants, particularly the head of Senior High School English Teacher Association, greatly appreciated this program as it was really helpful to develop their writing competence and their motivation to write. The excessive teaching duty was another problem causing their lack of time to write a journal article and to develop their writing competence as well. The participants were in the hope that there will be follow-up activities or program dealing with action research, writing research findings and research finding dissemination process or publication