Reviewerly/exHarmony huggingface dataset:
A participatory design research method using Chinese character experiments: using a range of participants to test the potential readability of new characters

The author of this paper is an Mphil student studying at the Royal College of Art, School of Communication.His research topic concerns low literacy and literacy design and has two aims: firstly, to determine whether design language as a cognitively functional system can cross cultural and linguistic barriers to facilitate illiterate cognition.Secondly, to ask whether data achieved and any co-designed research findings can usefully reflect on and contribute to design literacy?The paper describes three experiments conducted at the School of Communication Research Work in Process Show, in December 2017.These experiments are intended as catalysts: to see what the challenges of the researcher's research project on levels of literacy and design might be, to explore participant strategies across barriers of culture and literacy, to format appropriate materials and methods which could contribute to his research journey.
FPGA Accelerated DAN Algorithm with Weight Decomposition for Face Alignment

The Deep Alignment Network(DAN), which is based on the deep neural network architecture, performs better over existing face alignment algorithms, especially in large pose situation. In this paper, a weight decomposition method is introduced to reduce the original algorithm’s computation complexity by 35.4% and weight storage by 33.3% without sacrificing algorithm accuracy. Also, an efficient processing elements(PE) allocation and a general reuse mechanism are designed to reduce memory access and improve PE utilization. The DAN algorithm is implemented on Virtex-7 2000T platform and its resource efficiency and energy efficiency on FPGA are 0.00327GOP/s/Slices and 46.7 GOP/s/W, which are 1.25x and 2.2x higher than state-of-the-art methods.
Photo 3D technology applied to e-Learning tools production for animal biology

The teachers from the Biology Department of the University of Lille have been developing for the last two years, a digitalization program of naturalist collections. This project aims to preserve this scientific heritage and to use it for animal and plant biology teaching. Specimens are digitalized by a photo 3D capture system, that produces a 360° and/or hemispheric images of the objects starting from high-resolution pictures. Based on the use of this particular imaging technology, teachers realized multimedia eBooks and a series of files “at the glance“ for practical works in animal biology for Bachelor students in Life Sciences. These supports, enriched by graphic complements, texts, legends and interactive animations, are available on the pedagogic platform Moodle. These digital tools are viewable on computers and can be handled on smartphones and tablets for a nomad utilisation. Students generally consider these supports useful for learning and they consult these resources before, during and after the practical sessions. This distance-learning approach gives the students a complete autonomy for practical session preparation and reviews. The innovative tools here presented constitute a useful learning complement to classical academic lectures in animal biology.
A Robust Decomposition Based Algorithm For Removal Of Pattern Noise From Images

This article aims a melting pool of complex vectors, that is, the aggregation and the minimization problem of sufficiency spectra. A mixture of this blended standard and image decline issue works admirably to reduce and deteriorate the example of concussion which occurs when old pictures are filtered with granular surfaces. In most cases, the appealing appropriation of regular photos easily reduces from low repetition to the high repetition band, while the episode of concussion is scarcely circulating. We agree along these lines that a picture viewed includes an idle image and an example clamor, describing them separately by using the full range and capacity work. This enables the two parts to decompose sensibly. In contrast to the comparative strategies of deterioration, for instance, robust PCA, our technique is decent, less computer expenditure, and moreover less time suited for any image organization
Analisis Hubungan Motivasi dan Prestasi Belajar dalam Mata Pelajaran (IPS) Terpadu

This study aims to determine the relationship between student motivation and student achievement. The researcher looked at several problems regarding learning motivation, in which 8th grade students at SMPN 2 Kec. Situjuah Limo Nagari is less motivated in learning on Integrated Social Sciences subjects and impacts on learning achievements such as Exercise scores, Pr, Daily Exams, Midterm Exams, and Final semester Exams. The type of research used is quantitative research with a correlation approach. The data collection techniques used by researchers include observation and questionnaires. The results of the study showed that based on the overall items of the questions obtained 3.31 This means that students' learning motivation is in good qualifications as expected. From the results of hypothesis testing and data processing there is a relationship between student learning motivation and student learning achievement so that the price coefficient obtained between x and y is 0.56 means in the medium category. Then it can be interpreted that the learning motivation of the 8th grade students at SMPN 2 Kec. Situjuah Limo Nagari is in a good level in supporting learning activities on the subject (IPS) Integrated so that it affects learning achievement. "There is a significant relationship between student learning motivation and learning achievement on Integrated (IPS) subjects at grade 8 at SMPN 2 Kec. Si Limo Nagari Academic Year 2018/2019" Accepted this means that there is a relationship between learning motivation and student achievement at SMPN 2 Kec. Situjuah Limo Nagari. From the results of this study concluded that student motivation is good and has a relationship between learning motivation and student achievement&#x0D; Keyword : Motivation Learning, Achievement Learning
Sistem Kendali Arsip Kepegawaian (SIKASEP) Berbasis Desktop Pada Balai Sosial Bina Remaja (BSBR) Karya Mandiri

This employee filing information system has several features, including managing curriculum vitae, employee leaves, salary increase, and rank, retired, and transfer. The data is still stored conventionally, making the data search process very long. This system is desktop based and uses the Java programming language. The results of the questionnaire showed that as many as 24 respondents stated that they agreed to 80% and as many as 6 respondents stated that they strongly agreed to 20% for the use of this application.&#x0D; Keywords:
Team Kermit-the-frog at SemEval-2019 Task 4: Bias Detection Through Sentiment Analysis and Simple Linguistic Features

In this paper we describe our participation in the SemEval 2019 shared task on hyperpartisan news detection.We present the system that we submitted for final evaluation and the three approaches that we used: sentiment, bias-laden words and filtered n-gram features.Our submitted model is a Linear SVM that solely relies on the negative sentiment of a document.We achieved an accuracy of 0.621 and a f1 score of 0.694 in the competition, revealing the predictive power of negative sentiment for this task.There was no major improvement by adding or substituting the features of the other two approaches that we tried.
Москва – «умный город»: основные направления и перспективы смарт-стратегии развития столицы

The paper considers the main stages and features of the emergence of a network society in Russia, and the connection of this process with the development of telecommunication technologies and the Russian segment of the Internet.The author suggests a brief description of the most typical ways and methods of politicizing content on the Internet, especially with manipulative goals.He emphasizes that communication and discussions on topical issues within network communities and social networks are overwhelmingly politicized, sometimes artificially, contributing to the formation and development of political discourse.Among the main ways of forming political discourse, the impact on the participants of communication on its subject and context can be identified.The author shows the need for a detailed study of the techniques of forming political discourse, including in the interests of national security.
Vocab-T: Enhancing Young Learners’ Vocabulary

Due to the emergence of the Information and Communication Technology (ICT), the emphasis on its integration in teaching and learning in all schools throughout Malaysia results in some schools especially those in rural areas as they are being challenged with the usage of ICT to the fullest in teaching and learning of English vocabulary due to inadequate facilities.Therefore, this research aims to investigate the potential of using Vocab-T in enhancing pupils' vocabulary.Vocab -T was designed closely to suit various themes based on the existing curriculum.Data was collected using action research design through pre-test and post-test, and satisfaction questionnaire.A set of worksheets and satisfaction questionnaire were given to 50 Year 5 pupils (purposive sampling) from two schools in rural area and one school in suburban area in Sarawak, Malaysia.The results from the pre-test and post-test illuminated that there was a positive increment between pupils' achievement.Data from the satisfaction questionnaire showed that the mean percentage for the Likert Scale implying that Vocab-T satisfied pupils' learning styles.Moreover, the findings showed that Vocab-T benefited the teachers in a way that it could be used in various teaching and learning vocabulary activities.
The Economic and Non-Economic Determinants of Economic Growth in Oil-Exporting Arab Countries

This paper aims at exploring the main determinants of economic growth in Oil-Exporting Arab countries (OEAC) by shedding light on the most effective determinants.It is then wished that governments and policy makers would concentrate on and take them into consideration when they are designing and applying their public policies.The study used panel data for six OEAC over the period of 1998-2017.Some study variables were not stationary at level but they became stationary after taking the first difference for them.The result of applying panel Pedroni cointegration test revealed that the model was cointegrated.Therefore, FMOLS model was applied for estimation showing that gross fixed capital formation, labor force growth rate, economic freedom, rule of law, regulatory quality and government effectiveness have statistically significant positive impact on the economic growth of OEAC, while trade openness, control of corruption, political stability and voice and accountability have insignificant effects on their economic growth during the study period.Moreover, the Global Financial Crisis of 2008 with its slow recovery has a significant negative impact on the economic growth of such countries.Therefore, the study recommends OEACs' governments to make "real" institutional reforms and adopt the appropriate polices that eliminate corruption and rent seeking behaviour and enhance the rule of law.They also need to improve the quality of education and to develop the skills and expertise of their labour force.In addition, they have to establish specialization in the production of goods in which they have comparative advantages and diversify their production and sources of national income, and not to depend only on exporting natural raw materials, which altogether eventually ensure resources are efficiently and effectively utilized in pursuit of their economic growth and social development.
A Russian-French Research and Practice Workshop “Rock Art: Methods and Techniques of Documenting” (Shalabolino Site, 6–12 July 2018)

This paper is an overview of an international research and practice workshop "Rock Art: Methods and Techniques of Documenting" which took place in July of 2018 at Shalabolino site as part of work of the Minusinsk Rock Art Research Expedition of IAET SB RAS. We estimate effectiveness of the proposed format of a scientific event and also describe modern approaches to documenting and analyzing rock art (engravings and paintings) at open air sites.
Vertical Fragmentation for Database Using FPClose Algorithm

Vertical fragmentation technique is used to enhance the performance of database system and reduce the number of access to irrelevant instances by splitting a table or relation into different fragments vertically. The partitioning design can be derived using FPClose algorithm, which is a data mining algorithm used to extract the frequent closed itemsets in a dataset. A new design approach is implemented to perform fragmentation. A benchmark with different minimum support levels is tested. The obtained results from FPClose algorithm are compared with the Apriori algorithm.
Personalizing Chatbot Conversations with IBM Watson

Systems powered by artificial intelligence are being developed to communicate with users in a progressively “human-like” conversational way, in order to make them more user-friendly. Such systems are utilized across many industries including teaching, marketing, and health care, and are commonly made available to the public as interactive chatbots. It is important to explore new possibilities in development to make these systems more personalized to their users by improving and expanding their functionality and interactivity. This project delves further into this topic by creating a system that generates increasingly customized responses to user input. One crucial way to improve the functionality of an artificial intelligence system is by molding a personal profile of the user, which can be referenced by the system in order to respond to the user’s needs in an adaptive way based on their preferences. The project is focused on investigating packages that can be used to more effectively respond to the user’s mood, personality, and language, including IBM Watson Tone Analyzer, Watson Personality Insights, and Watson Language Translator. These packages are then utilized to work towards creating an intelligent, interactive system that can effectively fulfill the individual needs of its users.
THE EFFECTS OF STUDENTS’ VOCABULARY AND GRAMMAR MASTERY TOWARDS ENGLISH RECOUNT WRITING SKILL IN THE SECOND GRADE OF PRIVATE JUNIOUR HIGH SCHOOL IN TANGERANG

AbstractThe purpose of this research is to obtain empirical data about the effects of students’ vocabulary and grammar mastery towards English recount writing skill. There are the effects of students’ vocabulary (X1) and grammar mastery(X2) towards students’ English recount writing skill (Y). That is proved by the result Fobservedis 679.878 with significance probability level Sig 0.000. The probability value is (0.000) less than 0.05. It means the regression model could be used to predict the students’ skill in writing. The result of data analysis, the multiple regression in which the multiple correlation coefficient, is ( R ) is 0.987 or (ryx1x2 = 0.987). It means it gives strong effects among them. The simultaneous contribution of perception on the teacher’s competence and grammar mastery towards students’ writing skill is R2 x 100% or 0.987 2 x 100% = 97.4 % and the rest 2.6 % determined by the other factors. In conclusion H0 is rejected and H1 is accepted significantly. There is no effect of students’ vocabulary (X1) toward students’ English recount writing skill (Y). It can be proved tobserved 1.574 meanwhile ttable = 1.69. Because of the score of Sig&gt; 0.05 (0.124&gt;0.05) and tobserved&lt;ttable(1.57 &lt;1.69). The score of Sig = 0.124 means H0 is accepted it means that there is no significant effect of student’s vocabulary toward students’ English recount writing skill. From the test of correlation and regression it can be concluded that there is no effect of students’ vocabulary towards students’ English recount writing skill. There is an effect between grammar mastery (X2) toward students’ writing skill (Y). It can be proved by tobserved 14.718 meanwhile ttable = 1.69. Because of the score of Sig&lt; 0.05 (0.000&lt;0.05) and tobserved&gt;ttable(14.718 &gt; 1.69) determination of regression significance criteria is the score of Sig = 0.000 means H0 is rejected. It means that there is a significant effect of grammar mastery towards students’ English recount writing skill.Keywords: Recount Text, Grammar Mastery, Regression Significance, Vocabulary, Writing Skill,
Literacy, Identity and Gender: A Case Study of Love Letter Writing Practices from Pakistan

This study aims to explore the identity (ies) and ideology (ies) embedded in the love letter writing practices of the people particularly in Pakistan. It brings forth the established social and cultural practices and thoughts of the letter writers from gender perspective. This study investigates the ways in which gender identity is enacted within the language of love letters. Being a significant social literacy practice, the writing of a letter is rooted in a particular social situation. Like all other types of literacy objects and events, the activity advances its meaning and significance from being situated and positioned in cultural beliefs, values, and practices. A case study of the young Pakistani couple has been conducted in this regard where the language used by couple in their love letters is analyzed from ideological perspective. The data are comprised of the love letters which are analyzed qualitatively. Street&amp;rsquo;s Ideological Model has been employed for qualitative analysis. The research finds out that the ways in which people communicate are constrained by the structures and forces of those social institutions within which they live and function. It also highlights the substantial role of language in the constructions and representations of social and cultural beliefs and values.
Educational tracks of Russian youth in system of education (on state statistics 2000-2017)

ANNOTATIONUnlike in developed countries, there are few indicators in the Russian education statistics concerning youth educational tracks between its successive levels, from the basic to the higher one.Since 2014, the Ministry of Education and Science of Russia has published raw statistical data, inaccessible to readers as they are, on its website.The author has calculated and analyzed a number of relevant indicators from this and other sources.The evaluation is focused on the 2000-2017 changes in the enrollment in Basic and Secondary Schools and subsequent distribution of students across educational tracks; enrollment in Secondary Vocational Education (mid-level specialist and skilled worker programs), distribution of students across modes of study and educational attainment at admission; enrollment in Higher Education Institutions across modes of study, types of Higher Education Institutions ownership and educational attainment at admission to full-time and extramural classes.The data on the number of relevant age cohorts inform the analysis.
MOHICANS: Mobile Learning Teaching Model for Next Gen Learners

The proliferation of mobile devices among especially the younger (aka Next Gen) learners has led to a change in expectations when it comes to learning. These learners prefer to learn "on-the-go" and to have the learning contents at their fingertips. However, design strategies for mobile learning are still in nascent development stages. This research builds on existing literature in the field of mobile learning pedagogy to propose a novel teaching model for mobile learning which instructors can use to design their own courses.The research is conducted on 120 identified learners from 2 faculties, School of IT and School of Health Sciences who were undertaking their respective core modules. The participating instructors designed and implemented mobile learning packages in accordance with the proposed teaching model. The authors collected feedback from learners via survey questionnaires on a four-point Likert scale to measure the level of learners’ satisfaction with the mobile learning packages. The authors also examined the module learning outcomes to gauge the level of instructors' satisfaction as well as the competency levels achieved by the learners. Both qualitative data and sentiments collected from survey and classroom observations have been encouraging, showing that the teaching model proposed is effective.
Fuzzy Logic Based Obstacle Avoidance Autonomous Robots

The research shows benefits that fuzzy logic has brought to the performance of Autonomous mobile robot and the possible logic strategy for the performance improvement of motion control. The collision avoidance mobile robots have become a major area of research in robotics that involves various degrees of uncertainty. The developed fuzzy logic let the Autonomous mobile robot to have an ability to avoid the static obstacles coming in its path without the involvement of any human being. Fuzzy logic approach has been proved to be a simple and a more easy technique for such kind of robots.
Modern solutions to the problem of school textbooks: Austria

The role of school textbook as an important means of learning and a source of knowledge on the subject define the importance of this research (based on the model of Austria). The author emphasizes the importance of creating high-quality school textbooks as a common problem of any nation to be solved. Recent researches of Ukrainian and foreign scientists on textbook contents, structure, both methodological and technological provision as well as on the place and the role of school textbooks in educational process and some other specific features prove the relevance of this problem. The aim of the article is to reveal some ways to solve problems of creating school textbooks and providing pupils with modern educational tools (various kinds of printed and electronic, interactive textbooks and manuals) to organize the most effective educational process in school education taking into consideration the economic effectiveness. The author informs that the Ministry of Education, Science and Researches of Austria is responsible for giving instructions, recommendations and guidelines on printed and electronic school textbooks and manuals. The latter are regarded as means used to support the tasks of the lesson and provide learning outcomes. Reading is viewed as a necessary competence for comprehension as well as a vital tool for reaching individual goals, skills development, selfeducation and a precondition for pupils' active participation in the societal life. Requirements to school textbooks and manuals as educational materials are defined by the Law on School Education. All of them should be in line with the content and form of the curriculum of the certain educational level and at the same time, to be in accordance with various educational materials, presentations and other relevant school equipment designed and created for pupils. The author of the article highlights educational standards revision on permanent basis to provide and ensure lessons quality. Textbooks are selected during specialized school textbooks conferences held annually where the opinion of parents’ and pupils’ representatives is taken into consideration. Frequency of school textbooks practical usage during pupils’ work in the class and homework is one of the criteria for selection. There is a possibility to get both printed and e-textbooks using SBA-Online program. Interactive digital textbook offers additional interactive content. Internet Apps SbX, SbX Solo and SbX Combo give teachers and pupils access to interactive educational materials.