Reviewerly/exHarmony huggingface dataset:
«Braillín y el cupón premiado»: adaptación de una actividad de escape room para alumnos con discapacidad visual de Educación Primaria y Secundaria

espanolEl escape room es una actividad de ocio en pleno auge. Se combinan diferentes destrezas y habilidades, siendo imprescindible el trabajo cooperativo para resolver enigmas o retos planteados que deben descubrir a traves de acertijos y pruebas, con una metodologia basada en la gamificacion de la ensenanza. El objetivo es fomentar la maxima participacion e implicacion, consolidando habitos y practicas en equipo a traves de las Tecnologias de la Informacion y la Comunicacion (tic) y las Tecnologias del Aprendizaje y el Conocimiento (tac), asi como las tiflotecnologias. Se han favorecido las relaciones interpersonales, la autonomia para la vida diaria y la participacion activa de las familias. EnglishEscape room is a leisure time activity in full bloom. This game-based education initiative fosters a combination of skills and abilities in which cooperation is indispensable to solve mysteries or challenges posed to primary and secondary school students through riddles and trials. The aim is to further participation and involvement by consolidating teamwork habits and practices through information and communication (icts) as well as learning and knowledge technologies (lkts), including the use of technical aids and appliances for the visually impaired. The experience favoured interpersonal relations, daily living independence and active family participation.
LibGuides: Criminology: Help

This guide provides undergraduates and graduates with specific resources for Criminology Access our Library services for further help
LSTM vs Random Forest for Binary Classification of Insurance Related Text

The field of natural language processing has received increased attention lately, but less focus is put on comparing models, which differ in complexity. This thesis compares Random Forest to LSTM, ...
Topology-guided analysis and visualization of charge density fields

Direct volume rendering techniques for scalar fields make use of transfer functions to map optical properties to the field; the field can subsequently be visualized through the drawing of isosurfac ...
Event-Oriented Keyphrase Extraction Based on Bi-clustering Model

Keyphrase extraction, as a basis for many natural language processing and information retrieval tasks, can help people efficiently discover their interested information from vast streams of online documents. Previous methods are mostly proposed in general purpose, where keyphrases that represent the main topics are extracted. However, such keyphrases can hardly distinguish events from massive streams of long text documents that share similar topics and contain highly redundant information. In this paper, we address the task of keyphrase extraction for event-oriented retrieval. We propose a novel bi-clustering model for clustering the documents and keyphrases simultaneously. The model consequently makes the extracted keyphrases more specific and related to the event. We conduct a series of experiments on a real-world dataset. The experimental results demonstrate the better performance of our approach than other unsupervised approaches.
Investigate Hindutva groups and websites spreading hate against artists and communities – South Asia Citizens Web

SAHMAT 8, Vithalbhai Patel House, Rafi Marg New Delhi-110001 Telephone-23711276/ 23351424 e-mail-sahmat at vsnl.com 22.11.2008 Press Statement We would like to bring to your attention the reports…
Steganographic coding scheme based on dither convolutional trellis under resampling mechanism

With the rapid development of mobile internet and cloud computing, numerous digital me-dia files in mobile social networking and media sharing software have become the important carriers of steganography. However, these digital media files may be resampled by the media server when being pushed to the intelligent mobile terminals. The resampling of digital media files is a transfor-mation which enlarges or shrinks objects by a scale factor that is the same in all dimensions. In order to reduce embedding distortion while ensuring the correct extraction of secret messages under resam-pling mechanism, a steganographic coding scheme based on dither convolutional trellis is proposed in this paper. The resampling mapping is estimated with finite sample pairs. The resampling stego media files with secret messages embedded are generated from the estimated resampling cover media files by syndrome-trellis codes (STCs). According to the estimated resampling mapping, the dither convolutional trellis for one dimensional resampling is constructed to generate the source stego me-dia files from source cover media files and resampling stego media files. The steganographic coding scheme is also extended to the circumstance of two dimensional resampling such as image scaling. The experimental results show that the proposed steganographic scheme can achieve less embedding dis-tortion while ensuring the accuracy of secret messages extraction under multi-dimensional resampling mechanism.
Designing Learning Activities Using Different Augmented Reality Applications for Different Learning Subjects for Elementary Students

The application of augmented reality in the field of education is increasing in popularity due to its unique characteristic of embedding digital information into the real-life environment. With better simulation and presentation, this had improved students’ engagement in the learning process, resulting in a better learning experience and learning performance for students. In this chapter, two research involved in applying and designing different augmented reality applications in different learning subjects for elementary school students are presented (i.e., science and cultural study). These two research utilized different approaches in terms of pedagogy and augmented reality application design to fulfil the requirement for different learning subjects. A discussion on the benefits of each augmented reality application designed for each learning subject is shared, along with the shortcomings and improvements that could be done to further improve each application’s design. With the collaboration with elementary schoolteachers throughout these two research, a discussion on key items in the process of selecting the usage of different augmented reality applications in designing learning activities for different learning subjects is also discussed in the chapter.
A Discrete Approach for Polygonal Approximation of Irregular Noise Contours

Polygonal approximation is often involved in many applications of computer vision, image processing and data compression. In this context, we are interested in digital curves extracted from contours of objects contained in digital images. In particular, we propose a fully discrete structure, based on the notion of blurred segments, to study the geometrical features on such curves and apply it in a process of polygonal approximation. The experimental results demonstrate the robustness of the proposed method to local variation and noise on the curve.
Improving Performance of Knowledge Miner

One of the most important aspects in the built system is to ensure its scalability and high performance. This chapter presents different methods for improving data mining performance along with the final conclusion on which method should be applied in the built system.
Machine Translation and Divergence Study for English–Maithili

In terms of language technology, Maithili is a resource-poor language. It is spoken in India and Nepal and is one of the 22 scheduled languages in India. Maithili has almost no language technology resource. English in India happens to be a dominant language in terms of content and usage. However, since more than 90% of Indians do not use English, a translation from English to Maithili becomes critical. An absence of basic tools in this language has affected resource creation of machine translation (MT). The present work discusses efforts for language technology resource (LTR) creation and divergence study for a statistical English-Maithili MT (EMMT) system. Creating any statistical MT (SMT) system requires sizeable parallel, aligned corpora for training and testing. Creating general-purpose source corpora for English language and creating translation equivalents with possible alignments require time and effort. The paper focuses on the data collection methods, cleaning, the size and structure of the text corpora, alignment and parallelization strategies, training, testing, and a study of divergence between the language pair.
The Formation of Abbreviated Loanwords in Japanese: A study of Ryakugo and Toujigo in Asahi Shimbun digital website of automotive-technology column

In Japan, loanwords widely used in newspapers that make it difficult for readers to understand the information. As there is a need for a practical language, it has been proven by the more dominant use of abbreviations. In newspapers, abbreviations in loanwords are most commonly found in the field of automotive technology, but the use of abbreviations in newspaper must be taken into consideration, as it may be difficult to deliver the information. This study was arranged with the aim to find out, describe and analyse the formation of loanwords in ryakugoand toujigoform in the Asahi Shimbun Digitalwebsite. It is intended for Japanese learners to have a basic knowledge of the formation structure of the Japanese loanwords and to know the abbreviations and meanings of the automotive and technology fields term. The method used in this study is a descriptive qualitative analysis. The results of this study were obtained 79 data of ryakugoand toujigo, which in the formation of ryakugo were jouryaku, geryaku, and jougeryaku. While the formation of toujigo were keeping the first letter written with alphabet, keeping the first letter written with alpha-numeric, keeping the front–middle- in the first word and keeping two letters in the first word.
EM-Based Online Identification Algorithm for Linear Aerodynamic Model Parameters

A new algorithm based on expectation maximization (EM) is presented for identifying the parameters and noise covariance matrices in an aircraft dynamic system. The proposed algorithm contains two steps. The first step is to estimate the state of the system using the Kalman filtering (KF) and the current estimator of these unknows. In the second step, the parameters as well as the noise covariance matrices are recursively updated by using the online EM algorithm and the multidimensional stochastic approximation strategy. In order to make a comprehensive comparison of the proposed algorithm and the traditional algorithm, the proposed algorithm is tested by using simulation data and shows desirable estimation accuracy.
LibGuides: University of Vaasa writing guidelines: Cover and abstract pages, the table of contents and appendices

The guidelines contain instructions about the layout and contents of theses and other written assignments as well as instructions on how to refer to source literature and other material used in the work.
Multiple Controllers in Nominal Modification

The standard view of predicate-argument agreement in LFG is based on co-specification, such that both the target and the controller specify values of f-structure features of the controller. The same co-specificational view is generally extended to cases of NP-internal concord. For both types of agreement, a feature-sharing approach, in which the agreement features are represented in the f-structures of both the target and the controller, is also possible. Recent work by Haug & Nikitina (2012, 2015) motivates a symmetrical feature-sharing analysis in a case of long- distance agreement in which an agreement target itself operates as a controller in a further agreement domain. We argue that a feature-sharing analysis is also motivated in the analysis of a particular class of adjectivally headed nominal modifiers in Arabic in which a single agreement target reflects the intrinsic properties of two different controllers.
Programming and Implementation Guidelines

Many approaches come to mind when considering software programming and implementation. One approach might be syntax-oriented—how the code looks and is written. Another approach might be to consider the structural rules that programmers must follow—to keep the code “cleaner.” The ways that software is written and how it is formatted can bring about heated arguments between developers. This chapter is not written to provide a specific way of implementing software, but instead focuses on recommendations—so that a determination can be made on whether they are incorporated or not. There isn’t a single answer to how software should be implemented because there are many factors involved.
THE STORY OF M

A leading candidate in our attempts to find a unified theory that would reconcile Einstein’s General Relativity and Quantum Mechanics, and explain all known physical phenomena, is M-theory. We give an introductory account.
Item 25, Los Pinkys (4-color offset, 11 x 17 inches), undated

The Keith Ferguson collection includes artifacts, manuscripts, and audio-visual materials from the childhood and professional career of the internationally respected musician.
스토리텔링 유아교육 연구동향 분석:국내 학술지 및 학위논문을 중심으로

The purpose of this study was to examine the research trends on storytelling education for young children in Korea. It analyzed theses, dissertations, and articles published in Korea from 2009 to 2018 focusing on the research methods, themes, and outcomes. Among the papers to be analyzed, the experimental study also investigated the type of activity, application effectiveness, story source, and utilization medium. The results are as follows. First, it was found that 2014 was pivotal for the increase in the number and diversification of such research. Second, as for research method, quantitative study was the most popular research type, primarily through experimental research. The most frequent research targets were young children, five years old. Third, the largest number of papers focused on the themes of the educational effects of storytelling on young children and the development of storytelling programs. Fourth, storytelling has been used mostly in circle time and math activity. Most of the studies analyzed the application effectiveness in terms of cognitive and affective domains of young children. As for the type of story origins, a created story by researcher was mostly used, and pictorial and PPT data were also frequently used as medium. Finally, the outcomes of the studies were described in accordance with the category investigated, and then discussions on limitations and suggestions for future studies were also described.
Organização e representação da informação nos arquivos das instituições públicas federais de ensino superior da região sul do Brasil

This article results from the work of finishing the Bachelor's degree in Archivology, and aims to analyze the development of classification activities and archival description in the archives of the IFES - Federal Institutions of Higher Education of the Southern Region of Brazil. It seeks to identify and characterize the archival functions of classification and description, to identify the support instruments used in these archival functions and to verify which processes of ORI - Organization and representation of the Information are developed in these institutions. The approach is quantitative-qualitative, exploratory and case-study. Nine institutions participated in this study, which answered the questionnaire sent by e-mail, with questions related to ORI, specifically regarding the classification and archival description activities carried out. The results indicate that 88.89% of the IFES perform the archival classification activity, and 66.67% carry out the archival description activity, and use the tools to support them, provided by the National Archives. Although most are satisfied with the current ORI, all agree that these processes can still be improved to improve information retrieval.
A High Speed Extension Field Multiplier for Pairing Acceleration

In this paper, we present a high performance extension field multiplier for pairing acceleration on reconfigurable device. It is shown that combining Residue Number System (RNS), which is designed for concurrent architecture and modern FPGA programmable logic array. The parallelism of RNS can be fully exploited. The proof of concept is implemented on a Xilinx Ultrascale+ FPGA, which takes 352 DSPs and accomplish a F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p^6</sub> multiplication in 44 cycles at a 500MHz clock frequency.
Improving Academic Homepage Identification from the Web Using Neural Networks

Identifying academic homepages is a fundamental work of many tasks, such as expert finding, researcher profile extraction and homonym researcher disambiguation. Many works have been proposed to obtain researcher homepages using search engines. These methods only extract features at the lexical-level from each single retrieval result, which is not enough to identify homepage from retrieval results with high similarity. To address this problem, we first make deep-insight improvements on three aspects. (1) Fine-gained features are designed to efficiently detect whether the researcher’s name appears in retrieval results; (2) Establishing correlation of multiple retrieval results for the same researcher; (3) Obtaining semantic information involved in URL, title and snippet of each retrieval result by recurrent neural networks. Afterwards, we employ a joint neural network framework which is able to make comprehensive use of these informative information. In comparison with previous work, our approach gives a substantial increase of 10%–11% accuracy on a real-world dataset provided by AMiner. Experimental results demonstrate the effectiveness of our method.
Practical general top-down parsers

This thesis presents the design and implementation of practical general top-down parsers. Top-down parsing, usually in the form of recursive-descent parsing, is efficient, easy to understand and is widely used to manually write parsers for real programming languages. Our work in this thesis has been inspired by the Generalized LL (GLL) parsing algorithm and Johnson's CPS recognizers. These two work generalize recursive-descent parsing to support all context-free grammars, including left-recursive ones. In fact, part of our work can be seen as merging and unifying GLL and Johnson's CPS recognizers. Working with Johnson's recognizers led us to propose a more efficient GSS for GLL, which resembles traditional function memoization, and also shaped our work on data-dependent grammars. Our experience with GLL gave us insight into how to make Johnson's CPS recognizers cubic and generate SPPF from them. We propose data-dependent grammars as an abstract intermediate language for implementing various disambiguation constructs without knowledge of a specific parsing technology. As data-dependent grammars are rather low-level, we also provide high-level disambiguation constructs, e.g., for operator precedence and indentation-sensitivity, that desugar to data-dependent grammars. A significant part of this thesis is dedicated to the semantics and implementation of disambiguation rules for operator precedence. We introduce a derivation-based semantics for operator precedence disambiguation that is independent of the underlying parsing technique, and is safe, i.e., does not remove sentences from the language when there is no ambiguity. We propose an implementation of our operator precedence semantics using data-dependent grammars. In the course of this thesis, we have developed Iguana, our GLL-based data-dependent parsing framework. The results of our performance evaluation show that Iguana is practical for parsing real programming languages, and in terms of performance, is comparable to a mature parsing tool such as ANTLR. Finally, based on Johnson's CPS recognizers, we present general parser combinators that can deal with all context-free grammars and produce an SPPF in cubic time and space. Our general parser combinators have the flexibility and expressiveness of traditional parser combinators, and the performance guarantee of general parsing algorithms. We used our general parser combinators as the basis for Meerkat, a general parser combinator library in Scala.
Special Issue on Parallel and Distributed Data Mining

The big graph era is coming with strong and ever-growing demands on parallel iterative analysis. But, before that, balanced graph partitioning is a fundamental problem and is NP-complete. Till now, there have been several streaming heuristic solutions with a single full scan over the input graph. However, some of them cannot be easily parallelized to further accelerate partitioning for large-scale graphs due to complicated heuristics; while others can be run in parallel but incur expensive communication costs during iterative computation.This paper presents Target-vertex Sensitive Hash (TSH), an easy-to-be distributed partitioning method. We first analyze the locality property naturally provided by the original input graph, which has not yet been considered by existing work. We then exploit such locality to simplify the heuristic rule. The simplified rule is implemented by a two-step framework where target vertices of edges are first logically pre-divided without accessing any graph data and then, based on the distribution of target vertices, streaming partitioning is physically performed in parallel. TSH provides the capability of quickly dividing large-scale graphs because of parallelization, as well as optimizes communication overheads due to the utilization of locality. Using a broad spectrum of real-world graphs, we conduct extensive performance studies to confirm the effectiveness of TSH over up-to-date competitors.
Perspective Competences of Teachers in the Development of the Digital Economy

The digital world is already saturated with complex information and cyber-physical systems, smart devices, robots, the Internet of things, artifi cial intelligence, mobile technologies (for communication and control of various devices at any distance), digital media, digital Commerce and digital global communications of people without borders. The teacher needs to constantly learn and use all the positive aspects of this new world for the development of children’s creative abilities and education of their digital eco-culture, which allows to form an educated digital society, a global public knowledge network, cyber society without aggression.
New Intelligent Tools to Adapt NL Interface to Corporate Environments

This paper is devoted to new aspects of Natural Language Interface to Relational Database (NLIDB) integration into third-party corporate environments related to control data access. Because there is no schema information in the input NL query and the different relational database management system (RDBMS) requires different meta-data types and rules to control data access, developers meet a problem addressed to automatic data access control in the case of NL interface implementation to relational databases. In the paper, we suggest a comprehensive approach which takes into account permissions throughout the pipeline of transforming NL query into SQL query with an intermediate SPARQL representation. Our integration solutions based on well-known Ontology Based Data Access (OBDA) approach, which gives us the opportunity to adapt the proposed solutions to the specifics of access control facilities of various RDBMS. Suggested approach has been implemented within intelligent service, named Reply.