Reviewerly/exHarmony huggingface dataset:
LEVEL OF TEACHERS’ CONCERNS IN THE IMPLEMENTATION OF CEFR (THE COMMON EUROPEAN FRAMEWORK OF REFERENCE FOR LANGUAGES)

The Common European of Framework Reference (CEFR) is a standardized measurement recognized by western countries to evaluate English proficiency. Unsatisfactory English level among student should be elevated. Hence, CEFR is being implemented simultaneously throughout Malaysia since 2017 for Year one and Year two students. Each English teacher must be prepared to accept any change in order to manage the changes efficiently and effectively as they are the "implementing group" to commence the change. This study was conducted to examine the level of English language teachers' attitudes towards the implementation of CEFR in Bangsar Pudu, Federal Territory of Kuala Lumpur by using survey research. This study adopted the Concern Based Adoptance Model (CBAM) as a theoretical framework. The data were collected from 205 English teachers from 101 schools using questionnaires on Stages of Concern Questionnaire (SoCQ) based on the CBAM model. Through ANOVA One-way analysis, there was a significant difference between teacher concerns in the teaching experience more than 30 years in CEFR compared to other teachers. However, there is no significant difference in the academic level of English teachers. The findings of this study are believed to help the Ministry of Education to identify and improve the implementation of CEFR curriculum.
How to Make Fabrics Talk Environment: The Scatol8 per la Sostenibilità Way

The mission of Scatol8 per la Sostenibilità srl (in English Scatol8 for Sustainability) is the realization of products and services to communicate the theme of sustainable development.The economic viability of the entrepreneurial initiative is ensured by three lines of activity: (1) the realization of personalized management systems, (2) carrying out environmental education activities, and (3) design and manufacture of products.Scatol8's products are unique design objects-therefore exclusive-crafted with materials and techniques derived from scientific research.Osmosis between new researches in the fields of business management, chemistry, environment, and the Scatol8 company leads to the manufacture of products that incorporate recent innovations and transfer the knowledge content to those who can afford them, meaning those who have culture enough to understand and appreciate them.It has been said: luxury is experiential.This is the concept we aim for with our products.The following chapter describes the qualities of some sustainable luxury products and deepens the ways of thinking, designing, and making a line of garments.These garments incorporate electronic devices with natural fabrics: cotton, hemp, and eco-leather.This is an example of upcycling as a result of technological innovation, which is then analyzed by the design thinking.
DESIGN THINKING AS A RESEARCH-METHOD TO DELIMIT THE REQUIREMENTS OF AN INTERACTIVE ENVIRONMENT FOR LEARNING ENGLISH IN EARLY CHILDHOOD THROUGH AUGMENTED REALITY

DESIGN THINKING AS A RESEARCH-METHOD TO DELIMIT THE REQUIREMENTS OF AN INTERACTIVE ENVIRONMENT FOR LEARNING ENGLISH IN EARLY CHILDHOOD THROUGH AUGMENTED REALITY
AN EFFECTIVENESS STUDY ON THE CLASS LECTURE IN AN EPUB3 EBOOK-BASED FLIP BLENDED LEARNING MODEL

In e-Learning, the flip blended learning model is commonly used to provide students with learning contents inside/outside classrooms.It encourages students to preview learning contents at their own pace outside classrooms before the class lecture.Thereafter, student-centric actions are taken inside classrooms in the lecture with instructions/helps from the teacher.An important issue about its success is the effectiveness review of a class lecture to explore its possible weaknesses.In addition, for an ePUB3 eBook-based flip blended learning model, ePUB3 eBooks are used in the model for students to access learning contents during the class lecture.The embedded ePUB3 track and test functions in these eBooks can be applied for tracking students' in-lecture accesses on these eBooks and examining their post-lecture learning outcomes.As such, the teacher can review the effectiveness of the class lecture to explore its possible weaknesses.In this paper, we explore such a study on the effectiveness of class lectures via ePUB3 track and test functions in an ePUB3 eBook-based flip blended learning model.For illustration, this study is applied to an academic 'Script Writing' course and respective discussions are presented for showing its usefulness.
Development of Real Time Analytics of Movies Review Data using PySpark

The data play the vital role in every organization. The data can be divided into structured, semistructured and unstructured. One can not process the unstructured data in real-time using RDBMS or Hadoop. Spark is an extension of Hadoop architecture which clubs the goodness of both Hadoop and Storm. Spark supports languages such as Scala, Java, Python, and R. The proposed method uses PySpark to analyze the movies review dataset of 50000 reviews by 36409 people for 1539 movies in real-time. Since movie reviews are written by many users in real-time, it is necessary for real-time data analysis. This method finds all the users who are very active in writing the reviews of the movies. This analytics may be used for giving incentives to the active reviewers. Further, the information about more popular movies based on reviews can be gained through analytics. To achieve these tasks basic map, reduce and filter functionalities have been applied. It is found from the analytics that the Movie code B002VL2PTU has been reviewed by the maximum number of people and also it is determined that maximum of 112 reviews were written by the single user with code A3LZGLA88K0LA0. The frequency count of words in the movie review is accomplished, and sentiment of the user can be analyzed using unigrams.
Variational Smoothing in Recurrent Neural Network Language Models.

We present a new theoretical perspective of data noising in recurrent neural network language models (Xie et al., 2017). We show that each variant of data noising is an instance of Bayesian recurrent neural networks with a particular variational distribution (i.e., a mixture of Gaussians whose weights depend on statistics derived from the corpus such as the unigram distribution). We use this insight to propose a more principled method to apply at prediction time and propose natural extensions to data noising under the variational framework. In particular, we propose variational smoothing with tied input and output embedding matrices and an element-wise variational smoothing method. We empirically verify our analysis on two benchmark language modeling datasets and demonstrate performance improvements over existing data noising methods.
Preface of the “SCLIT 2018: 8th Symposium on Computer Languages, Implementations and Tools”

First Page
Perilaku Komunikasi dalam Proses Rehabilitasi Pecandu Narkoba di Rumah Sakit HB Sa’anin Padang

The process of rehabilitation of drug addicts in the Psychiatric Hospital in addition to medical and social processes, rehabilitation of drug addicts at the HB Sa’anin Padang Hospital also has used various forms of communication behavior to restore the health of drug addicts. The process of integrated treatment and recovery activities will be carried out if health workers and psychologists are skilled in communicating both verbally and nonverbally. The formulation of the problem in this research is how communication behavior in the process of rehabilitation of drug addicts at the Mental Hospital HB Sa’anin Padang. With the methodological approach used is qualitative, data collection through observation, interviews and documentation. The results showed: 1. Verbal communication behavior in the process of rehabilitation of drug addicts at the HB Sa'anin Psychiatric Hospital in Padang carried out by health workers is verbal communication behavior in the form of verbal words and written words, written words are used as guides to act and act in the rehabilitation process. 2. The behavior of nonverbal communication in the process of rehabilitation of drug addicts in the Psychiatric Hospital HB Sa’anin by health workers with drug addicts is in the form of artifactual (appearance), proxemic (physical distance) and paralinguistic (intonation and tone of voice)
Investigation and Analysis of the Translation Tests in CET-4: Taking Software Engineering Students in Jiangxi Normal University as an Example

College English Test (abbreviated as CET) is one of the major language tests in China. Its purpose is to measure Chinese college students’comprehensive ability in English and it plays a positive role in achieving the goal of college English curriculum. Since its birth, CET has been reformed in scoring system, score reporting, test content and test questions, especially in translation test. This will enhance college English translation teaching which has been ignored for a long time. The paper mainly analyzes the reform of the translation test types in College English Test Band 4 and the current situation of translation teaching for non-English majors. 194 software engineering college students in Jiangxi normal university were required to accomplish the questionnaire survey to inquire into the problems they had encountered in CET-4 translation test and their translation learning situation in class, hoping to provide teachers and students with constructive suggestions with regard to college English translation teaching and learning.
Developing Studentsâ€™ Multicultural Background in Structure Courses

In applying English sentence structure, learners need to know the patterns that must be mastered. In addition, in making sentences learners need to pay attention to different cultures between one learner and another. This study discusses the background of studentsâ€™ various cultures. This diversity is in terms of regional origin or provinces, mastered languages, and hobbies. However, this study focuses on hobbies. Student hobbies include: reading books, reading novels / comics, writing novels, graphic design, drawing, and so on. This is what encourages researchers to know the benefits of hobbies in learning English sentence structure. In this study researchers propose the problem How to develop studentsâ€™ multi-cultural background in â€˜Structureâ€™ courses?â€ This problem is solved by collecting data on the construction of sentences that allude to multi-culture; thus they are referred to as data sources which were then scrutinized and recorded. In theory this method is called by Sudaryanto observation method. Finally, the research data were analyzed by qualitative descriptive method proposed by Seliger and Shohamy. From the results of the analysis, it can be known the kinds of construction that includes the studentsâ€™ hobbies. What researchers did was asking students to allude their hobbies in practicing the English structures. This appeal was initially ignored by students. Only a small number of students alluded their hobbies in making sentences. Researchers urged again to consider their hobbies in making sentences. In the end most students (75%) pay attention to hobbies or remember their hobbies in applying an English sentence.
Evaluation of Morphological Embeddings for English and Russian Languages

This paper evaluates morphology-based embeddings for English and Russian languages. Despite the interest and introduction of several morphology based word embedding models in the past and acclaimed performance improvements on word similarity and language modeling tasks, in our experiments, we did not observe any stable preference over two of our baseline models - SkipGram and FastText. The performance exhibited by morphological embeddings is the average of the two baselines mentioned above.
Public Disappointment to Gillian Flynn's Gone Girl Novel (2012): Reader Response Theory

This research aims to determine the readers’ response to the Gone Girl novel (2012) by Gillian Flynn which is analyzed with Reader Response theory by Richard beach. This research was conducted to identify the readers’ profile to Gone Girl novel, to describe the aspect of the reader’s disappointment, and to explain why the readers’ express disappointment in their response. This research used qualitative research methods. The data of this research consists of two kinds, namely primary data and secondary data. Primary data is the response from the reader to the novel obtained from the Goodreads website. While the secondary data obtained from other sources such as literary books, previous studies, journals, articles, internet, and others related to the study. The technique of collecting data using document analysis. The result of this research shows that the most readers is from United States (USA) with the comparison female readers is more dominant than male readers. And also range age of the readers is between 21 years old until 30 years old. The aspect that makes the readers feels disappointment are divided into eight, namely, story, character and characterization, plot, writing style, theme, scenario, setting, and overall. And the last readers express disappointment because all the aspect less and also different with the reader’s expectation. Keywords: Gone Girl novel, Readers’ Response
WriterForcing: Generating more interesting story endings

We study the problem of generating interesting endings for stories. Neural generative models have shown promising results for various text generation problems. Sequence to Sequence (Seq2Seq) models are typically trained to generate a single output sequence for a given input sequence. However, in the context of a story, multiple endings are possible. Seq2Seq models tend to ignore the context and generate generic and dull responses. Very few works have studied generating diverse and interesting story endings for a given story context. In this paper, we propose models which generate more diverse and interesting outputs by 1) training models to focus attention on important keyphrases of the story, and 2) promoting generation of non-generic words. We show that the combination of the two leads to more diverse and interesting endings.
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis

Cognitive task analysis (CTA) is a type of analysis in applied psychology aimed at eliciting and representing the knowledge and thought processes of domain experts.In CTA, often heavy human labor is involved to parse the interview transcript into structured knowledge (e.g., flowchart for different actions).To reduce human efforts and scale the process, automated CTA transcript parsing is desirable.However, this task has unique challenges as (1) it requires the understanding of long-range context information in conversational text; and (2) the amount of labeled data is limited and indirect-i.e., context-aware, noisy, and low-resource.In this paper, we propose a weakly-supervised information extraction framework for automated CTA transcript parsing.We partition the parsing process into a sequence labeling task and a text span-pair relation extraction task, with distant supervision from human-curated protocol files.To model long-range context information for extracting sentence relations, neighbor sentences are involved as a part of input.Different types of models for capturing context dependency are then applied.We manually annotate realworld CTA transcripts to facilitate the evaluation of the parsing tasks 1 .
Software Design Considerations for Mathematics in Mobile Games

A software system has been designed and developed to allow for the display, symbolic manipulation, and player entry of mathematics expressions in mobile games.Display, manipulation, and entry of mathematical expressions are traditionally difficult tasks.Increased limitations on screen space and user input when developing for mobile devices only exacerbate these difficulties.The developed software system balances considerations for ease of use and user interaction with the desire for players to be able to enter answers in a way that is more flexible and interactive than multiple choice, which is the dominant method of interactions in serious games.The software system uses a modular design to separate symbolic math software components from math display components to facilitate reuse of the software system.Additionally, the system displays mathematical expression in a way that is consistent with textbook and handwritten notations to ease the transition between the game and the classroom.Finally, the system provides affordances for natural user interaction to promote usability and engagement.This system has been used to develop a mobile game designed to help students master introductory calculus and physics at the undergraduate level.
Time Evolution of the 3-Tangle of a System of 3-Qubit Interacting through a XY Hamiltonian

We consider a pure 3-qubits system interacting through a XY-Hamiltonian with antiferromagnetic constant J. We employ the 3-tangle as an eﬃcient measure of the entanglement between such a 3-qubit system. The time evolution of such a 3-tangle is studied. In order to do the above, the 3-tangle associated to the pure 3-qubits state|ψ(t)⟩ = c0(t)|000⟩+c1(t)|001⟩+c2(t)|010⟩+c3(t)|011⟩+ c4(t)|100⟩+c5(t)|101⟩+c6(t)|110⟩+c7(t)|111⟩ is calculated as a function of the initial coeﬃcients {ci(t = 0)} (i = 0,1,...,7), the time t and the antiferromagnetic constant J. We ﬁnd that the 3-tangle of the 3-qubits system is periodic with period t = 4π/J. Furthermore, we also ﬁnd that the 3-tangle as a function of the time t and J has maximal and minimum values. The maximal values of the 3-tangle can be employed in Quantum Information Protocols (QIP) that use entanglement as a basic resource. The pattern found for the 3-tangle of the system of three qubits interacting through a XY Hamiltonian as a function of J and the time t resembles to a quantized physical quantity.
A Method for Cloud Mapping in the Field of View of the Infra-Red Camera During the EUSO-SPB1 Flight

EUSO-SPB1 was released on
New Activation Functions in CNN and Its Applications

In this paper, the nonlinear activation functions based on fluid dynamics are presented. We propose two types of activation functions by applying the so-called parametric softsign to the negative region. We apply the activati... | Find, read and cite all the research you need on Tech Science Press
Orca: Differential Bug Localization in Large-Scale Services

Today, we depend on numerous large-scale services for basic operations such as email. These services are complex and extremely dynamic as developers continuously commit code and introduce new features, fixes and, consequently, new bugs. Hundreds of commits may enter deployment simultaneously. Therefore one of the most time-critical, yet complex tasks towards mitigating service disruption is to localize the bug to the right commit.This paper presents the concept of differential bug localization that uses a combination of differential code analysis and software provenance tracking to effectively pin-point buggy commits. We have built Orca, a customized code search-engine that implements differential bug localization. On-Call Engineers (OCEs) of Orion, a large enterprise email and collaboration service, use Orca to localize bugs to the appropriate buggy commits. Our evaluation shows that Orca correctly localizes 77% of bugs for which it has been used. We also show that it causes a 3x reduction in the work done by the OCE.
PERANCANGAN DAN PENGEMBANGAN SISTEM INFORMASI KEPEGAWAIAN BERBASIS WEB DENGAN PHP-MYSQL PADA SINAR POSEIDON GUPITA

This study aims to determine the current system, making information system design, analyzing and testing the system and implementing the staffing system at Gupita Sinar Poseidon company. Research methods used in data processing systems are data collection techniques through interviews, observation, documentation studies, and library research relevant to information system problems. The design method uses a waterfall. With the development of a staff information system, it has been able to help and facilitate the tasks of employees in Gupita Sinar Poseidon in doing more effective work.
The Trends of Non-Native Researchers in Korean Language Education Research

The purpose of this paper is to examine trends in Korean language education research published by non-native researchers over the past five years. Four major journals related to Korean language education that were in print between 2014 and 2018 were surveyed to produce a list of 84 papers by 94 non-native researchers.BR First, an analysis of the type of research participation found that non-native researchers were more likely to be co-authors than Korean researchers. Next, a review of the existing research was used to produce an analytical framework for ascertaining trends in research by non-native researchers. The papers were analyzed twice, one time to classify them according to topic and a second time to classify them according to purpose. Since the purpose of this paper is ascertaining trends in research by non-native researchers, it took into account not only the number of papers but also the number of authors.BRWhen non-native research papers were classified by topic, 53 out of 83 papers (63.10%) were on the topic of “Korean language education (content).” This represented 57 out of 94 (60.64%) total authors. The most common subtopic under “Korean language education (content)” was “pronunciation,” followed by “pragmatics” and “contrastive analysis.” This is similar to the results of previous analyses of graduate theses and journal articles in Korean language education over the past decade, which have found that the most common research topics were “Korean language education (content),” “Korean language (teaching and learning),” and “Korean language education (general).” This paper did find, however, that the predominant topic in journal articles by non-native researchers is “Korean language education (content).” The most common subtopic of non-native research papers was pronunciation and intonation, whereas this was the sixth most common topic in the existing literature overall. The conclusion is that trends in Korean language education research by non-native researchers (especially in journal articles) are different from trends in Korean language education research as a whole.BR This paper
Brenier Approach for Optimal Transportation Between a Quasi-discrete Measure and a Discrete Measure

Correctly estimating the discrepancy between two data distributions has always been an important task in Machine Learning. Recently, Cuturi proposed the Sinkhorn distance [1] which makes use of an approximate Optimal Transport cost between two distributions as a distance to describe distribution discrepancy. Although it has been successfully adopted in various machine learning applications (e.g. in Natural Language Processing and Computer Vision) since then, the Sinkhorn distance also suffers from two unnegligible limitations. The first one is that the Sinkhorn distance only gives an approximation of the real Wasserstein distance, the second one is the ‘divide by zero’ problem which often occurs during matrix scaling when setting the entropy regularization coefficient to a small value. In this paper, we introduce a new Brenier approach for calculating a more accurate Wasserstein distance between two discrete distributions, this approach successfully avoids the two limitations shown above for Sinkhorn distance and gives an alternative way for estimating distribution discrepancy.