Reviewerly/exHarmony huggingface dataset:
Code-Switching And Code-Mixing In English Language Teaching And Learning At SMA Negeri 2 Kendari

Many people speak and switch or mix their general use of language with their mother tongues, especially in communicating with people. This study is aimed to describe the types of code-switching and code-mixing; why do teachers mix code and switch code; and reasons and impact on students of code-switching and code-mixing by teachers and students in the English as second language (ESL), SMA Negeri 2 Kendari. Accordingly, 65 students at the high school level and three of their instructors in EFL classrooms took part in the study. Data were collected through observations, questionnaires to teachers, and interviews with selected sample students. The result of qualitative and quantitative design analysis showed that code-mixing and code-switching types dominantly used by teachers were intrasentential switching and allowed intersentential switching. And teachers used more dominant of intrasentential mixing types. The reason’s teachers to  switching and mixing implementation were directing or conveying some explanations effectively, it is used cause forget some terms so as achieving a good learning process, to explain or give an understanding to students if they feel have not understood the lessons given so switching to Indonesian is an important communication strategy, more effective and expected to get a better relationship between them. Finally, the results of reason and impact on students by  descriptive questionnaire analysis showed that the students that lack ability in the target language, it's difficult to get the equivalent of the words on target language or find new words or terms in the context, and they did it unconsciously from English utterance to Indonesian and make students more understand when doing of switch code and mix code in English learning process.
Method of Non Destructive Geophysical Mapping of the Environment

Problem statement: The method of non-destructive testing is needed in different aspects of geology, geomechanics and archeology, for instance: by testing the state of rock massifs in sault, kimberlites or rock shock mines, ancient archeological objects, or mapping for locating the wells drilling.The best method for solution these problems is based on using induction multi frequency electromagnetic field with use control sources on 3D planshet system of observation.Applied methods and design: Such method was developed at the Institute of Geophysics, Ural Branch of the Russian Academy of Sciences that allows its use to solve complex geological problems for mapping and monitoring the state of the environment.Its use allows the observation system to be used in such way that, on the one hand, it achieves flexible tunable detail of observations, and on the other hand, it organizes an input database that is close to the domain of definition of the inverse problem operator in the class of layered-block models with local hierarchical inclusions.This allows using regularization methods to obtain solutions that are in the class of equivalent, close to true.The specific possibilities of its use are determined by the technical side: the power of the excitation source, the sensitivity of the receiving system.Typical results: It had been developed a new method of mapping, processing and interpretation, realized in a set of programs that allow seeing the result of the searching structure of the environment in real time (that is after receiving some results during one day, we can see the results of the geoelectrical features of the structure and the state of that part of the environment).It had been suggested a three staged conception of interpretation that can be used not only for interpretation electromagnetic induction data and dynamic seismic data.Concluding note (Practical value/implications): In the considered case, this method contributed to the study of altered forms of kimberlitic bodies.The method underwent geological verification in various geological conditions where it had been used for How to cite this paper:
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models

In this paper, we try to understand neural machine translation (NMT) via simplifying NMT architectures and training encoder-free NMT models. In an encoder-free model, the sums of word embeddings and positional embeddings represent the source. The decoder is a standard Transformer or recurrent neural network that directly attends to embeddings via attention mechanisms. Experimental results show (1) that the attention mechanism in encoder-free models acts as a strong feature extractor, (2) that the word embeddings in encoder-free models are competitive to those in conventional models, (3) that non-contextualized source representations lead to a big performance drop, and (4) that encoder-free models have different effects on alignment quality for German-English and Chinese-English.
BADAM: A Public Dataset for Baseline Detection in Arabic-script Manuscripts

The application of handwritten text recognition to historical works is highly dependant on accurate text line retrieval. A number of systems utilizing a robust baseline detection paradigm have emerged recently but the advancement of layout analysis methods for challenging scripts is held back by the lack of well-established datasets including works in non-Latin scripts. We present a dataset of 400 annotated document images from different domains and time periods. A short elaboration on the particular challenges posed by handwriting in Arabic script for layout analysis and subsequent processing steps is given. Lastly, we propose a method based on a fully convolutional encoder-decoder network to extract arbitrarily shaped text line images from manuscripts.
Analisis Diskriptif Technologi Acceptance Model pada Penerapan Blended Learning

The Blended Learning learning model is a system that collaborates classroom face-to-face learning with online learning. This study aims to measure the acceptance of the Blended Learning learning model among students. The variables developed refer to the Technology Acceptance Model (TAM), which is a model of user acceptance of information systems. The data obtained were analyzed by descriptive statistics and qualitative analysis. The results showed that in general the use of the Blended Learning learning model could be accepted by students in the category of Good approaching is Very Good. The mean value of all aspects reached a value of 3.94 on a scale of 5 (79%). The results of qualitative analysis were in line with the results of quantitative analysis. Students received good use of e-Learning while maintaining face-to-face learning activities in class. The results of this study can be used as a basis for recommending the selection of learning methods in universities
Navigating the future: New and complex skills for reading and viewing digital online texts

Our work focuses on the ever-changing textual landscape for learning in school and the significantly new and complex skills required as primary and secondary students read and view digital online texts. For the last decade and a half Kress (2003) has stressed that reading and viewing digital online texts requires more knowledges and skills than reading and viewing traditional print based texts. Digital online texts can be one of a number of forms, such as linear, hyperlinked or interactive. The rest of the paper explains the points of difference between linear, hyperlinked and interactive digital online texts and advocates for teachers to scaffold primary and secondary students through the specialised demands for reading and viewing these texts. The concluding section provides some examples of teaching strategies for working with students to manage the ever-changing demands of reading and viewing digital online texts.
Learning dynamic word embeddings with drift regularisation

Word usage, meaning and connotation change throughout time. Diachronic word embeddings are used to grasp these changes in an unsupervised way. In this paper, we use variants of the Dynamic Bernoulli Embeddings model to learn dynamic word embeddings, in order to identify notable properties of the model. The comparison is made on the New York Times Annotated Corpus in English and a set of articles from the French newspaper Le Monde covering the same period. This allows us to define a pipeline to analyse the evolution of words use across two languages.
Length-Invariant Motif Discovery: Finding Similar Patterns at Different Subsequence Lengths

Author(s): Singh, Abhay | Advisor(s): Keogh, Eamonn | Abstract: In many time series data mining problems, the analysis can be reduced to frequent pattern mining. Specific to time series, we have motif discovery algorithms that help finding repeated patterns in the given data. Tools such as Matrix Profile, Time series chains and Time series consensus motifs discover patterns in a time series. Although in principle they can be used with any distance measure, they have been optimized for euclidean distance. A problem this poses is that otherwise similar patterns in time series of different lengths can have a very high distance in the Euclidean space, and thus be difficult or impossible to discover with standard tools. In this thesis we will discuss ways to find motifs that may exist in different subsequence lengths. We will consider four algorithms: Iterative AB-STOMP, Appended STAMP, Pruned STOMP and piecewise STAMP and compare them on efficiency and effectiveness. Finally, the utility of these algorithms will be demonstrated through analysis on diverse domains, including insect behavior, bird song and electrical usage data.
The Ideational, Interpersonal and Textual Meaning in Jokowi Dodo's Inauguration Speech

Systemic Functional Linguistic offers a model of approach in analyzing discourse concerning to reveal how language is used to negotiated meaning. Research paper, also known as research article presents Jokowi Dodo’s Inauguration speech in terms of Ideational, interpersonal and textual meaning. Therefore, this study aimed to explain the realization of Ideational, Interpersonal and Textual Meaning in Inauguration speech. Descriptive qualitative Research design was used in this study with one Jokowi Dodo’s text speech taken as the subject of analysis . The findings revealed that the meanings were realized by the president’s language choice. Ideational meaning realized in research paper showed that the president presented his future dreams in state of doing through relational process and material process with help of other process types. However, Interpersonal meaning realized in the research paper showed that the research paper was carrying the speech role as giving information. Textual meaning was realized through the use of the speech opening and giving appreciate to participants who attended in Inauguration speech and also hopes to all participants. The realization of the meaning also could give benefit to participant and researcher in having guideline when they are giving speech in public area.
Team Harry Friberg at SemEval-2019 Task 4: Identifying Hyperpartisan News through Editorially Defined Metatopics

This report describes the starting point for a simple rule based hypothesis testing excercise on identifying hyperpartisan news items carried out by the Harry Friberg team from Gavagai.We used manually crafted metatopics, topics which often appear in hyperpartisan texts as rant conduits, together with tonality analysis to identify general characteristics of hyperpartisan news items.While the precision of the resulting effort is less than stellar-our contribution ranked 37th of the 42 successfully submitted experiments with overly high recall (95%) and low precision (54%)-we believe we have a model which allows us to continue exploring the underlying features of what the subgenre of hyperpartisan news items is characterised by.
GAIT DETECTION AND GUIDANCE SYSTEM FOR STROKE PATIENTS USING IOT TECHNOLOGY

The obstacles to standard wheelchairs specifically include edibility, weight and restrained capabilities. Many developments have been made within the situation of wheelchair generation; however those couldn't resource the quadriplegics to navigate independently. Automatic wheelchair using MEMS technology enabled the top and neck mobility of quadriplegics in a charge-effective manner. The position of customer’s head is converted into speed and route via the manage system. MEMS sensor and controller are the principle components of the device. The trade in course of the top is sensed via the MEMS sensor and the corresponding sign is given to microcontroller. The microcontroller controls the wheelchair directions with the assist of DC vehicles. This sensor famous the tilt and operates the electric gadgets and declares the simple needs counting on tilt. The tilt is on the left thing or proper aspect direction the related want is probably introduced. And it has the obstacle detection function. This tool can be very beneficial for paralysis and physically challenged humans. This tool is transportable and this system operation is genuinely driven via wi-fi technology. The consumer can wear it to any movable issue and may carry out it with the aid of tilting the MEMS sensor.
Smart Everythings Agency, Power, Responsibility and Participation

This paper argues for a future research agenda that re-orients the design of internet-of-things applications, in particular within the Smart City context, with the aim to counter the prevailing technological opportunism that drives innovation in this field. I discuss why participation of stakeholders in the design of such technology is essential, but also needs to evolve to recognise its political dimension. Possible pathways for such a re-politicising of participation in design are discussed with concepts of Agonistic Design, Critical Design and Design in Use. Alongside these methodological concerns, I argue, it is necessary to also rethink our underlying theoretical understanding of the relationship between humans and technology. To reflect the intimate entanglement, I propose to look at post-humanist theories and new materialism. The goal of this position paper is to provoke discussion and critical reflection.
A Study on Policy Change of National Assessment of Educational Achievement Policy Based on Kingdon’s Multiple Stream Model

본 연구는 Kingdon의 다중흐름모형을 활용하여 2012년부터 2018년까지의 국가수준 학업성취도 평가 정책 변동과정을 분석하고자 하였다. 국가수준 학업성취도 평가는 오랜 기간 지속되어 온 교육정책임에도 불구하고, 정책변동 과정에의 합리성이 전제되지 않았다. 분석 결과 국가수준 학업성취도 평가 정책은 행정부의 교체 시기인 2013년과 2017년에 정책 결정과 집행을 포함하는 정책 변동이 이루어졌다. 또한 정책변동에 있어서 정책참여자와 정책선도가의 역동적인 상호작용이 중요하게 작용하였다. 국가수준 학업성취도 평가 정책 변동과정을 나타낸 본 연구의 결과를 바탕으로 향후 국가수준 학업성취도 평가 정책의 합리적 집행을 위한 시사점을 도출하였다.This study analyzed the process of policy change in the National Assessment of Educational Achievement(NAEA) from 2012 to 2018 by applying Kingdon s multiple stream model. Despite the long-standing education policy, NAEA policy was not based on the rationality of the policy change process. This study considered that the policy window which is a combination of policy issues, policy alternatives, and political flows occurred at the time of the change of the administration, as major policy change and tried to analyze the process of NAEA policy change. According to the analysis, NAEA policy changed in 2013 and 2017 when the administration was replaced. In addition, dynamic interaction between policy participants and policy entrepreneurs played an important role in policy change process. Based on the results, this study suggested ways for the rational implementation of NAEA policy.
Using Mobile Augmented Reality (MAR) Applications to Improve Students Teachers' EFL Descriptive Writing Skills and Motivation Towards English Language

The purpose of this research is to investigate the effectiveness of using mobile augmented reality (MAR) applications in improving students teachers' EFL descriptive writing skills and motivation towards English language. The design of the research was a mixed research methodology. It combined both quantitative and qualitative methods of inquiry. The subjects of the research were thirty – five (N= 35) students enrolled in third year English section at Faculty of Education, Benha University, Egypt. They were tested before and after the intervention. They were taught through a mobile augmented reality (MAR) applications program. The instruments of the research included an EFL descriptive writing skills test, motivation towards English Language scale, and semi-structured interview. Results of the research revealed a statistically significant difference between the mean scores of the study participants in the pre and post administration of the EFL descriptive writing skills and motivation towards English Language in favor of the post administration. These results were ascribed to using mobile augmented reality (MAR) applications program.
Experimental Curating in Times of the Perpetual Beta: Strategies and Platforms for Online-Based Art

October 01 2019 Experimental Curating in Times of the Perpetual Beta: Strategies and Platforms for Online-Based Art Lia Carreira Lia Carreira Lia Carreira: liacarreira@gmail.com. Master's thesis, Danube University, 2017. Search for other works by this author on: This Site Google Scholar Author and Article Information Lia Carreira Lia Carreira: liacarreira@gmail.com. Master's thesis, Danube University, 2017. Online Issn: 1530-9282 Print Issn: 0024-094X ©2019 ISAST2019ISAST Leonardo (2019) 52 (5): 503. https://doi.org/10.1162/leon_a_01802 Cite Icon Cite Permissions Share Icon Share Twitter LinkedIn Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Search Site Citation Lia Carreira; Experimental Curating in Times of the Perpetual Beta: Strategies and Platforms for Online-Based Art. Leonardo 2019; 52 (5): 503. doi: https://doi.org/10.1162/leon_a_01802 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentAll JournalsLeonardo Search Advanced Search This content is only available as a PDF. ©2019 ISAST2019ISAST Article PDF first page preview Close Modal You do not currently have access to this content.
Extreme Couponing for Ebook Acquisitions: Building a High-value Ebook Collection While Maintaining Lean Workflows

Libraries are constantly seeking to provide exceptional service and deliver this service for the lowest possible cost. It behooves the modern library to stay in step with what their patrons want. At the same time, space constraints, especially for academic libraries, require consideration of alternative formats and delivery methods for materials. Additionally, the immediacy of electronic formats appeals to students and faculty who rarely visit the physical library building. Often librarians and staff who are most comfortable and familiar with print formats can be taken aback by the price tag of electronic resources or may be uncertain about how best to handle the cataloging and associated record-keeping of electronic acquisitions. With staff complements shrinking along with budgets, it can seem like a daunting task to consider implementing a robust ebook purchasing program. We will share the pressures that led to developing the strategies we are using at Oklahoma State University to help us expand our ebook collections economically while maintaining lean workflows.
BAGAIMANA MENGHUBUNGKAN PUBLIKASI ILMIAH DENGAN DATA PENELITIAN?

Scientific data repository has a main role in science because data can be reused, reproduced, and preserved in a long time. In Indonesia there is no institution that manage scientific data repository, generally they only manage publication such as books, journals and proceedings. This is because, most of research data is still managed by a researcher or research group. By using literature study and survey to the journal publisher, authors want to get an information on how to manage research data by publications. Furthermore, the result of literature study is compared to the survey result that produces an important point i.e journal publisher strongly agree to make a policy to the author to attach research data in every paper submitted. Most of journal publisher use Open Journal System (OJS) in managing journal articles, start from paper acceptance until paper publishing. Through this way, research data that attached will be automatically stored to the scientific data repository system based on Application Programming Interface (API).
Reducibility Criteria and a Construction Method for the Analysis of Open Quantum Systems

The analysis of an open quantum system can be by far difficult if the dimension of the system Hilbert space is large or infinite. However, in some cases the dynamics on a finite-dimensional Hilbert space can be decomposed into a block-diagonal form, which simplifies the system structure. In this presentation, we will study several criteria for the complete reducibility and, in addition, a computational method for a basis of each simplified component to apply for the analysis of open quantum systems. An important point of these tools is that they are “effective” methods (one can complete the task in a finite number of steps).
ER-AE: Differentially Private Text Generation for Authorship Anonymization

Most of privacy protection studies for textual data focus on removing explicit sensitive identifiers. However, personal writing style, as a strong indicator of the authorship, is often neglected. Recent studies, such as SynTF, have shown promising results on privacy-preserving text mining. However, their anonymization algorithm can only output numeric term vectors which are difficult for the recipients to interpret. We propose a novel text generation model with a two-set exponential mechanism for authorship anonymization. By augmenting the semantic information through a REINFORCE training reward function, the model can generate differentially private text that has a close semantic and similar grammatical structure to the original text while removing personal traits of the writing style. It does not assume any conditioned labels or paralleled text data for training. We evaluate the performance of the proposed model on the real-life peer reviews dataset and the Yelp review dataset. The result suggests that our model outperforms the state-of-the-art on semantic preservation, authorship obfuscation, and stylometric transformation.