Reviewerly/exHarmony huggingface dataset:
Asymmetry Sensitive Architecture for Neural Text Matching

Question-answer matching can be viewed as a puzzle where missing pieces of information are provided by the answer. To solve this puzzle, one must understand the question to find out a correct answer. Semantic-based matching models rely mainly in semantic relatedness the input text words. We show that beyond the semantic similarities, matching models must focus on the most important words to find the correct answer. We use attention-based models to take into account the word saliency and propose an asymmetric architecture that focuses on the most important words of the question or the possible answers. We extended several state-of-the-art models with an attention-based layer. Experimental results, carried out on two QA datasets, show that our asymmetric architecture improves the performances of well-known neural matching algorithms.
Enemy Perception and Student Brawling: A case study toward student Brawling at Bogor city Indonesia

This paper is aiming to explain enemy perception as one factor of the trigger to student brawling. Paper was developed from qualitative research conducted in Bogor city in 2016 until early 2017. Data and information collected through observation, documents collection, interview of Bogor Educational office, Bogor Education Committee, Task Force of Student Brawling, schools staff, teachers, and student that include on brawling. The conclusion is that the most frequent student brawling occurs in Bogor city was triggered by the enemy perception of the student toward another school student, even toward other school groups. This perception could trigger the conflict whenever and wherever they met without policeman or teacher supervision. This enemy perception had raised a long time, as the olden generation inherit it to their younger generation, and keep maintained. Therefore, the solution to stopping student brawling in Bogor city is to eliminate the perception of the enemy towards other schools or other school groups.
PEMANFAATAN TEKNOLOGI DALAM PENYELENGGARAAN PENDIDIKAN TERBUKA/JARAK JAUH

The idea of implementing Distance Education (DE) is to educationally serve the people who cannot be served by the existing face-to-face educational institutions due to one and some other reasons. Some of the constraints faced, as generally exposed, are in term of geographical distance and difficulty, transportation, time, limited budget, and physical disadvantages. In the very beginning stage, the learners of DE programs were adults. In the later development, DE institutions serve people not only adults but also those who are still at the school-age stage, from kindergarten to higher education. Not only the learners vary but also the technology/media used to deliver the learning contents, from the very old one (print technology) to the newest one (electronic technology). Currently many distance education institutions in developing countries use printbased technology as the main DE medium as the use of communications technologies is often cost-prohibitive. Almost all institutions in the Southeast Asian Countries that have already implemented distance education approach in their educational development still use print technology as a very important medium in delivering the programs. Even though some countries have used the internet technology as another potential alternative in delivering their distance learning contents. In this paper, the discussion will focus on the use of technologies in delivering distance learning contents, starting from print up to internet technologies.
Managing Turbulent Business Environments in Nigeria: A Model Approach

The thrust of the study is to examine the nature, character and constraints the Nigerian business environment poses to enterprises operating in it with a view to proffering solutions strategies on how to overcome environmental turbulence within the economy. Methodologically the study adopts an analytical and qualitative approach by perusing extant literature on the nature and types of environmental forces at issue in the economy. The J.D. Thompson model was adopted to drive the study and its components which exist in four-quadrants were used for analysis with regards to enterprises operating in various industries in the environment. Each quadrant aligns with specific environment type and pinpoints exact techniques to adopt as solution-strategies in coping with the environment for survival. In addition to the model, a template of strategic marketing plan was adopted as a programme and roadmap which enterprises in the environment can adopt to help them analyse and diagnose their target markets to reveal its true nature and potentials for effective targeting. Recommendations made are to the effect that enterprises in this increasingly turbulent and insecure environment should adopt a combinational approach instead of a ‘one-best strategy’ for survival. This is in addition to employing smarter environmental scanning techniques. It is further suggested that enterprises should establish R&amp;D and intelligence gathering units and the creation of an MIS infrastructure to help it track essential and diverse sets of information if they ever hope to survive and succeed.
Temporal-Spatial Consistency and Sampling Neural Network Based Adaptive Hand-held Video Deblurring

Video deblurring for hand-held camera is vital in many high-level video enhancement applications. Although quite a few proposed approaches have achieved remarkable success in recent years, many technical challenges still prevail for video (from hand-held camera) containing wide-range scenes and highly-variable objects. In particular, we are lacking effective and versatile strategies to adaptively handle high-level alignment, parallax diminution, unclear area detection, sharpness enhancement in a consistent fashion. To ameliorate, this paper develops a novel method to successively respect temporal-spatial alignment and precise deblurring. Our aim is to devise a new adaptive video deblurring technique by resorting to new modeling strategies. This paper's key originality is hinged upon the joint utility of both self-adaptive intrinsic mode functions (IMFs) based on empirical mode decomposition (EMD) in the temporal domain for video signal and mesh-structure constraint enforcement in the spatial domain, beside, this paper innovatively jointly utilities the subsampling convolution, upsampling convolution and luckiness threshold value based back propagation, which takes video deblurring as a high-precision adaptive convolution. As a result, our new approach can adaptively improve the clarity of the video, and synchronously optimize the camera trajectory of wobbly video. To validate our optimization approach for adaptive video deblurring, we conduct comprehensive experiments on public benchmarks, and make extensive and quantitative evaluations with available state-of-the-art methods as well as popular commercial software. All of our experiments demonstrate the advantages of the optimization method in terms of versatility, accuracy, and efficiency.
PERBANDINGAN METODE K-NN DAN BAYES PADA MISSING IMPUTATION

The problem of data loss in a dataset is experienced in surveys for data collection which are usually caused by no response from units or items during the survey data collection process. The loss of a data can significantly influence the results of a study. The inaccuracy in choosing a solution to overcome these problems can result in a less than optimal outcome that tends to be biased. Some methods that are widely used to solve these problems are using the K Nearest Neighbor (K-NN) and Naïve Bayes methods, the main purpose of this study is to compare the performance of the two methods. From the results of the K-NN, the results were better, where the Mean Square Error (MSE) is bigger than 1 and MAPE around 10-16%, while Naïve Bayes got MSE values bigger than 1 and MAPE ​​around 26%.
Technical Research of Clearing Floating Effect in CSS Cascading Style Sheets

The addition of CSS cascading style sheets completes the layout of the interactive web page in the interactive web page layout technology HTML5+CSS3. The effect of web page optimization is very obvious, and it is also very important to float and clear floating in the web page layout. The four methods of clearing floating has been introduced mainly, in order to achieve the effect of further optimization to compare the advantages and disadvantages of each method from all aspects, and ultimately to make the overall layout of the page optimal. But floating can cause many problems, and it is especially significant to clear the float. There are many ways to clear float, but each method has more or less limitations. And other methods must be found to eliminate these limitations. In contrast, the method of removing floats by pseudo-elements is the most perfect.
ANALYSIS OF THE USE OF SPOILER ONE LEVEL AND TWO LEVELS IN CONDITIONS OF STEADY AGAINST THE DRAG AND LIFT COEFFICIENTS ON A SEDAN TYPE CAR BY USING CFD (COMPUTATIONAL FLUID DYNAMIC)

&lt;p&gt;&lt;em&gt;This research was simulation analyzing the condition of steady flow in around of body car made and analized computly using CFD program (Computational Fluid Dynamic). The model used was Sedan car designed with different rear end body by adding spoiler. Analyzing in this research was done by using Software 18.2–CFD Student Version. Design of the three models were compared to find out the difference in magnitude of Coefficient of Drag, Coefficient of Lift, pressure distribution, velocity distribution, and behavioral character of flow around the rear end of car in the condition of steady flow. Model was made in appropriate scale with model of Honda city 2008 sedan car&lt;/em&gt;&lt;em&gt;. &lt;/em&gt;&lt;em&gt;Observation was made to look at the behavior of fluida flows both in front and back the car in different fluid speed ranges in steady condition.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;The simulation results obtained from packet CFD on each condition were; model without spoiler, model with 1 level spoiler, and model with 2 level spoiler. Where this simulation showed that CD and CL were decrease&lt;/em&gt;&lt;em&gt;. &lt;/em&gt;&lt;em&gt;One of the example was at speed 40km/hour obtained the coefficient of drag (CD) of 0.31061, 0.28603, and 0.2054, it proved that 1 level spoiler could reduce the value of drag coefficient about 7.9135% of the sedan car without spoiler, while the car with 2 level spoiler could reduce the value of drag coefficient about 33.8592% without spoiler. For the coefficient of lift (CL) on each model was -0.38487, -0.54624, and -0.62097 proved that spoiler 1 level could reduce the value of lift coeffient about 41.92845% of the sedan car without spoiler, while the car with 2 level spoiler could reduce the value of lift coefficient about 61.35984% without spoiler. On the result of pressure distrubution and relative velocity give little affect to the upper and lower surface where this was indicated by almost no color difference contours. Then, if it was indicated from streamline and the formation of vortex, there was a significant difference so that it was very influential on the size of CD and CL occoured. By changing geometric proved that the spoiler car 1 and 2 level were more aerodynamic than the car without spoiler.&lt;/em&gt;&lt;/p&gt;
ORGANIZATIONAL AND PEDAGOGICAL CONDITIONS FOR DEVELOPING INFORMATION COMPETENCE IN A UNIVERSITY TEACHER

Introduction. The problem and the purpose. This article discusses the theoretical rationale and practical implementation of a set of organizational and pedagogical conditions that contribute to the development of information competence of the teacher. Particular attention is paid to clarifying the concept of “information competence”. The article reveals the author’s approach to the organization of the&nbsp; process of&nbsp; developing&nbsp; information competence of a technical university teacher. The purpose of the article is to identify the organizational and pedagogical conditions for the formation of a teacher’s information competence and to characterize their&nbsp; influence on the success of the information competence development of a modern teacher working at a Russian technical college. Material and Methods. The research methodology is based on the analysis and generalization of regulatory documents for higher education, research works of foreign and domestic researchers recognized by scientific community. Results.&nbsp; The study showed that the aggregate of organizational and pedagogical conditions for implementing the information competence of a teacher in a Russian technical university presented in the article is timely, quite constructive and promising, on the one hand, contributing to the full release of the teacher’s potential and enhancing his personal responsibility for the social realization of&nbsp; his own mission in his professional activities, on the other hand, creating the basis for his continuous independent professional growth. Conclusions. The author’s conception of forming the information competence of a teacher proposed in the article can be implemented in the professional activity of a contemporary teacher. Effective organizational and pedagogical conditions for its implementation can determine the design of educational activities using the means of information and communication technologies, the design of the main technological components of the educational process and research orientation.
Risk Decision-Making Based on Cloud Theory and Prospect Theory for Conditional Maintenance of Power Transformer

Aiming to solve the problem of the commonly used natural language type to evaluate information, the risk of decision-making for transformer state based on cloud theory and prospect theory is suggested whose comprehensive evaluation index is composed of technique index, economic index and safety index. TOPSIS is used to obtain the positive (negative) ideal scheme as its reference and the positive (negative) correlation coefficient matrix was established by grey correlation analysis. Case study verifies its feasibility and effectiveness and shows its higher sensitivity.
Visual Interactive Comparison of Part-of-Speech Models for Domain Adaptation

Interactive visual analysis of documents relies critically on the ability of machines to process and analyze texts.Important techniques for text processing include text summarization, classification, or translation.Many of these approaches are based on part-of-speech tagging, a core natural language processing technique.Part-ofspeech taggers are typically trained on collections of modern newspaper, magazine, or journal articles.They are known to have high accuracy and robustness when applied to contemporary newspaper style texts.However, the performance of these taggers deteriorates quickly when applying them to more domain specific writings, such as older or even historical documents.Large training sets tend to be scarce for these types of texts due to the limited availability of source material and costly digitization and annotation procedures.In this paper, we present an interactive visualization approach that facilitates analysts in determining part-of-speech tagging errors by comparing several standard part-of-speech tagger results graphically.It allows users to explore, compare, evaluate, and adapt the results through interactive feedback in order to obtain a new model, which can then be applied to similar types of texts.A use case shows successful applications of the approach and demonstrates its benefits and limitations.In addition, we provide insights generated through expert feedback and discuss the effectiveness of our approach.
Light-Cone Gauge Strings and Quantization

In the previous chapter, we have described the classical theory of strings, from the point of view of their worldsheet. Here we will describe the way to quantize them, using a particular gauge called light-cone gauge.
Correction to: Gradient and categorical patterns of spoken-word recognition and processing of phonetic details

The Publisher regrets that, due to a typesetting mistake, it has now become necessary to make the following corrections: All phonetic transcriptions (between square brackets and slashes) should be corrected and displayed as follows, in the same font.
Student's Reading Interest in University of Bangka Belitung

Indonesia is one of countries that has high quantity of people but low in quality. It is shown from the low rating in human development index. Thus, the quality improvement i.e. educational improvement should be implemented effectively. Reading is one of the most crucial element in the field of education. The low rating of reading interest among Indonesian people becomes a tremendous issue which needs to be solved. To tackle, government implements the reading movement as contained in Act of the Republic of Indonesia number 20 of 2003 and ruled by Ministry of Culture and Education (Permendikbud) number 23 of 2015 about 15 minutes of literacy activities prior to the beginning of the study session. The study aims to identify the university students’ reading interest in University of Bangka Belitung as well as to examine the determinant and the obstacle of the university students’ reading interest. Structured questionnaire and online data collection methods were employed to obtain the primary data from 182 university students in University of Bangka Belitung, Indonesia. The study showed that the reading interest of university students in University of Bangka Belitung were at low score. About one-third of the respondents visited library once a week, one-fourth visited library twice a week and only 8.3 % of the respondents visited library 4 – 5 times a week. Almost one-fourth of respondents had 1 – 4 reading materials. Around half of respondents read less than an hour a day. As the determinant of book reading and library attendance, 61.3 % of the respondents were due to do assignment while only 16 % of respondents were due to habit and need to read. Whereas, as the obstacle to reading, almost half of respondents preferred using gadget, around one-fourth of respondents spent their times with friends and 39.2 % of respondents were too busy with their extracurricular activities on campus
Study on the Application of PostgreSQL in ON-Board Power Simulating Training Evaluation System

In accordance with the application characteristics of On-Board power simulating training evaluation system and the advantages of postgreSQL, propose that using postgreSQL manage the data of On-Board power simulating training evaluation system. Considering the characteristics of postgreSQL, this paper combines with the database design, connection and accession, and studies the application of postgreSQL in On-Board power simulating training evaluation system. It is showed by the research and experiment that applying postgreSQL into On-Board power simulating training evaluation system has important practical significance and promoting value.
Profile measurement adopting binocular active vision with normalization object of vector orthogonality

Abstract Active-vision-based measurement plays an important role in the profile inspection study. The binocular vision, a passive vision, is employed in the active vision system to contribute the benefits of them. The laser plane is calibrated by two 2D targets without texture initially. Then, an L target with feature points is designed to construct the orthogonality object of two vectors. In order to accurately model the binocular-active-vision system, the feature points on the L target are built by two cameras and parameterized by the laser plane. Different from the optimization methods on the basis of the distance object, the laser plane is further refined by the distance-angle object. Thus, an optimization function is created considering both the norms and angles of the vectors. However, the scale of the distance is diverse from the scale of the angle. Therefore, the optimization function is enhanced by the normalization process to balance the different scales. The comparison experiments show that the binocular active vision with the normalization object of vector orthogonality achieves the decreasing distance errors of 25%, 22%, 13% and 4%, as well as the decreasing angle errors of 23%, 20%, 14% and 4%, which indicates an accurate measurement to reconstruct the object profile.
STIR-Net: Spatial-Temporal Image Restoration Net for CT Perfusion Radiation Reduction

Abstract Computed Tomography Perfusion (CTP) imaging is a cost-effective and fast approach to provide diagnostic images for acute stroke treatment. Its cine scanning mode allows the visualization of anatomic brain structures and blood flow; however, it requires contrast agent injection and continuous CT scanning over an extended time. In fact, the accumulative radiation dose to patients will increase health risks such as skin irritation, hair loss, cataract formation, and even cancer. Solutions for reducing the radiation exposure include reducing the tube current and/or shortening the X-ray radiation exposure time. However, images scanned at lower tube currents are usually accompanied by higher levels of noise and artifacts. On the other hand, a shorter X-ray radiation exposure time with longer scanning intervals will lead to image information that is insufficient to capture the blood flow dynamics between frames. Thus, it is critical for us to seek a solution that can preserve the image quality when the tube current and the temporal frequency are both low. We propose STIR-Net in this paper, an end-to-end spatial-temporal convolutional neural network structure, which exploits multi-directional automatic feature extraction and image reconstruction schema to recover high-quality CT images effectively. With the inputs of low-dose and low-resolution patches at different cross-sections of the spatio-temporal data, STIR-Net blends the features from both spatial and temporal domains to reconstruct high-quality CT volumes. In this study, we finalize extensive experiments to appraise the image restoration performance at different levels of tube current and spatial and temporal resolution scales. The results demonstrate the capability of our STIR-Net to restore high-quality scans at as low as 11% of absorbed radiation dose of the current imaging protocol, yielding an average of 10% improvement for perfusion maps compared to the patch-based log likelihood method.
Semantics in Natural Language Processing and Language Teaching

Semantics is one of the key elements in the study of language. This article’s main objective is to describe and evaluate how semantic theories are implemented in the field of Natural Language Processing as well as Language Teaching. There are two branches of semantic theories that this article focuses on: Formal Semantics and Natural Semantic Metalanguage. The strengths and weaknesses of the theories mentioned are discussed. The most versatile theory is suggested along with future improvements.
String Theory and Particle Physics

In this next to last chapter of part II of this book, we finally consider how to obtain particle physics from string theory. Indeed, string theory is supposed to describe the real world, and since moreover we want to describe cosmology, we need to check whether what we obtain is consistent with the particle physics that we know, i.e., the Standard Model.
FLIPPED CLASSROOM: ANALYSIS AND ASSESSMENT OF AN EXPERIENCE IN HIGHER EDUCATION

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 4926-4930ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1225Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain