Reviewerly/exHarmony huggingface dataset:
THE VISUALLY IMPAIRED STUDENTS’ LEARNING ENGLISH APPLYING TOTAL PHYSICAL RESPONSE (TPR)

The research aims to describe the visually impaired students’ learningEnglish using Total Physical Response (TPR). The research may contribute to thedevelopment of English learning model for the visually impaired students whoneed attention in their right to get better education and improvement in learningEnglish using Total Physical Response (TPR). The research method wasdescriptive qualitative method. The study was conducted at YaketunisYogyakarta. There were fifteen visually impaired students who becameparticipants in this research. The sources of the data were (1) visually impairedstudents as the participants of the study, (2) recorded actions (video-taped), (3)recorded interviews (audio-taped), and (4) field note.The result showed that visually impaired students had new experience inlearning English effectively, actively, stress-free and joyful. Total PhysicalResponses handled that students’ limitation in visualization to get informationthrough voice by their senses of hearing. The students practiced giving responsesof some instructions, pronunced some words and repeated the words many timesby maximizing their sense of hearing to activate their psychomotor competence.This process of learning activities supported them in developing their skill inmastering vocabulary, expression, and language command.
The Human, the Mechanical, and the Spaces in Between: Explorations in Human-Robotic Musical Improvisation

HARMI (Human and Robotic Musical Improvisation) is a software and hardware system that enables musical robots to improvise with human performers. The goal of the system is not to replicate human musicians, but rather to explore the novel kinds of musical expression that machines can produce. At the same time, the system seeks to create spaces where humans and robots can communicate with each other in a common language. To help achieve the former, ideas from contemporary compositional practice and music theory were used to shape the system’s expressive capabilities. In regard to the latter, research from the field of cognitive psychology was incorporated to enable communication, interaction, and understanding between human and robotic performers. The system was partly developed in conjunction with a residency at High Concept Laboratories in Chicago, IL, where a group of human improvisers performed with the robotic instruments. The system represents an approach to the question of how humans and robots can interact and improvise in musical contexts. This approach purports to highlight the unique expressive spaces of humans, the unique expressive spaces of machines, and the shared spaces between the two.
Ontology: Definition Languages

Ontologies are artifacts used to model and represent in an explicit way knowledge related to a particular domain in terms of concepts, relations between concepts and axioms. In this article we provide an overview of ontology languages that have been defined under the umbrella of the W3C consortium. These language are characterized by different levels of expressiveness, starting from RDF, a simple language to express statements in the form of triples, to OWL, which enables very expressive forms of inference.
Information Culture in Intercultural Space. Moderation of Values

The current role of information culture is combined with the change of the role of information in modern media civilization. This gives rise to new educational needs, including multicultural education, with relevant education in the field of information competence as its important element. In the new space of presence of a man, which is formed as a result of the interaction of real and virtual resources, these competences become more intercultural. At the same time, the diversity of cultures in space and their variability in time results in a lack of uniformity in the interpretation, perception and analysis of information, which leads to difficulty in defining a uniform model of culture and information competency. In this reality one of the main challenges facing today’s cultures becomes keeping up with the changes of the information society and the dynamics of contemporary information culture which are generated, exceeding the barriers of stability, sustainability and predictability.
Water susceptibility to weak impressions â€“ the demand for a new methodology in UHD science

UHD phenomena demand a modification of the presently established scientific methodology. This modified methodology concerns a special care that should be taken into account while planning and performing the experiments and also the way the results (be they positive or negative) are interpreted. The proposal of a new methodology is based on theoretical knowledge stemming from experiments in bioelectromagnetics, from a special ordered state of water that is behind the UHD phenomena and the discoveries of water sensitivity to various fields and impressions, since the outcome of UHD experiments can be conditioned even by weather, Moon cycles and solar activity.
Cakewalk Sampling

We study the task of finding good local optima in combinatorial optimization problems. Although combinatorial optimization is NP-hard in general, locally optimal solutions are frequently used in practice. Local search methods however typically converge to a limited set of optima that depend on their initialization. Sampling methods on the other hand can access any valid solution, and thus can be used either directly or alongside methods of the former type as a way for finding good local optima. Since the effectiveness of this strategy depends on the sampling distribution, we derive a robust learning algorithm that adapts sampling distributions towards good local optima of arbitrary objective functions. As a first use case, we empirically study the efficiency in which sampling methods can recover locally maximal cliques in undirected graphs. Not only do we show how our adaptive sampler outperforms related methods, we also show how it can even approach the performance of established clique algorithms. As a second use case, we consider how greedy algorithms can be combined with our adaptive sampler, and we demonstrate how this leads to superior performance in k-medoid clustering. Together, these findings suggest that our adaptive sampler can provide an effective strategy to combinatorial optimization problems that arise in practice.
Prolexbase: une ontologie pour le traitement multilingue des noms propres

Proper names often constitute a problem in translation. This contribution deals with an ontology which represents the basis for a multilingual database of proper names, Prolexbase. It is being set up for treatment of proper names in the framework of the Prolex project, a research programme supported by the French Ministry of Industry in collaboration with two firms working on the market of language technologies: Systran and Exalead. The aim of this collaboration is to create a multilingual database of proper names containing information applicable to machine translation, computer aided translation, data research as well as spelling dictionaries. These particular aims guided the creation of the ontology whose description will follow. Beside a set of language-dependent and language-independent relations associated with a logical model, the data- base is founded on a four level ontology: the level of instances (the proper names such as they appear in a written text in a specific language), the linguistic level (the level of so called “prolexemes”), the conceptual level (the numerical pivots) as well as the metaconceptual level (types and supertypes). We will describe here the different levels of the ontology and their implementation in the database using French and German examples.
Lower bound on entanglement in subspaces defined by Young diagrams

Eigenvalues of 1-particle reduced density matrices of N-fermion states are upper bounded by 1/N, resulting in a lower bound on entanglement entropy. We generalize these bounds to all other subspaces defined by Young diagrams in the Schur–Weyl decomposition of ⊗NCd.
Single-step quantum state engineering in traveling optical fields

We propose a general experimental quantum state engineering scheme for the high-fidelity conditional generation of a large variety of nonclassical states of traveling optical fields. It contains a single measurement, thereby achieving a high success probability. The generated state is encoded in the optimal choice of the physically controllable parameters of the arrangement. These parameter values are determined via numerical optimization.
An adaptive probabilistic algorithm for online <i>k</i>-center clustering

<p style='text-indent:20px;'>The <inline-formula><tex-math id="M1">\begin{document}$k$\end{document}</tex-math></inline-formula>-center clustering is one of the well-studied clustering problems in computer science. We are given a set of data points <inline-formula><tex-math id="M2">\begin{document}$P\subseteq R^d$\end{document}</tex-math></inline-formula>, where <inline-formula><tex-math id="M3">\begin{document}$R^d$\end{document}</tex-math></inline-formula> is <inline-formula><tex-math id="M4">\begin{document}$d$\end{document}</tex-math></inline-formula> dimensional Euclidean space. We need to select <inline-formula><tex-math id="M5">\begin{document}$k≤ |P|$\end{document}</tex-math></inline-formula> points as centers and partition the set <inline-formula><tex-math id="M6">\begin{document}$P$\end{document}</tex-math></inline-formula> into <inline-formula><tex-math id="M7">\begin{document}$k$\end{document}</tex-math></inline-formula> clusters with each point connecting to its nearest center. The goal is to minimize the maximum radius. We consider the so-called online <inline-formula><tex-math id="M8">\begin{document}$k$\end{document}</tex-math></inline-formula>-center clustering model where the data points in <inline-formula><tex-math id="M9">\begin{document}$R^d$\end{document}</tex-math></inline-formula> arrive over time. We present the bi-criteria <inline-formula><tex-math id="M10">\begin{document}$(\frac{n}{k}, (\log\frac{U^*}{L^*})^2)$\end{document}</tex-math></inline-formula>-competitive algorithm and <inline-formula><tex-math id="M11">\begin{document}$(\frac{n}{k}, \logγ\log\frac{nγ}{k})$\end{document}</tex-math></inline-formula>-competitive algorithm for semi-online and fully-online <inline-formula><tex-math id="M12">\begin{document}$k$\end{document}</tex-math></inline-formula>-center clustering respectively, where <inline-formula><tex-math id="M13">\begin{document}$U^*$\end{document}</tex-math></inline-formula> is the maximum cluster radius of optimal solution, <inline-formula><tex-math id="M14">\begin{document}$L^*$\end{document}</tex-math></inline-formula> is the minimum distance of two distinct points of <inline-formula><tex-math id="M15">\begin{document}$P$\end{document}</tex-math></inline-formula>, <inline-formula><tex-math id="M16">\begin{document}$γ$\end{document}</tex-math></inline-formula> is the ratio of the maximum distance of two distinct points and the minimum distance of two distinct points of <inline-formula><tex-math id="M17">\begin{document}$P$\end{document}</tex-math></inline-formula> and <inline-formula><tex-math id="M18">\begin{document}$n$\end{document}</tex-math></inline-formula> is the number of points that will arrive in total.
Partial convolution for total variation deblurring and denoising by new linearized alternating direction method of multipliers with extension step

<p style='text-indent:20px;'>In this paper, we propose a partial convolution model for image deblurring and denoising. We also devise a new linearized alternating direction method of multipliers (ADMM) with an extension step. As the computation of its subproblem is simple enough to have closed-form solutions, its per-iteration cost is low; however, the relaxed parameter condition together with the extra extension step inspired by Ye and Yuan's ADMM enables faster convergence than the original linearized ADMM. Preliminary experimental results show that our algorithm can produce better quality results than some existing efficient algorithms within a similar computation time. The performance advantage of our algorithm is particularly evident at high noise ratios.
The Concept of Cultural and Educational Space in Pedagogical Discourse

This article is devoted to the problem of definition of approaches of cultural and educational space on the basis of conceptual accents, depending on the purpose of the research. Such hermeneutic aspects are paid attention to as: the problem of correlation between the concepts of climate, environment and space, which are used in pedagogical discourse with similar meanings. The clarification of the content of the cultural and educational space is vital in the interdisciplinary context of philosophy, cultural studies and sociology, since all these scientific disciplines are involved in the formation of the contents, which circulate in the pedagogical discourse. The article eliminates the criteria for the definitions of cultural and educational space by different authors and generalized formulations, which arise from these criteria. In particular, the distinction is made by the following criteria: the physical organizational factor, the organizational and managerial category, the factor of pedagogical influence, the system of coordinates/ values, the communicative space, the object of philosophical and educational discourse, the factor of the formation of the subjectivity of an individual, circumstances of the reality metaphorization while its wording
ASPEK KEPRIBADIAN TOKOH UTAMA DALAM CERPEN CERITA PENDEK YANG PANJANG KARYA HASTA INDRIYANA, KAJIAN PSIKOLOGI SASTRA, DAN IMPLEMENTASINYA SEBAGAI BAHAN AJAR SASTRA DI SMA

This research done with the aim to describe the background socio historical author, describe the structure build a short story, describe the personality of the main character in the short story, and describe the implementation of the value of personality of the main character in the short story cerita pendek yang panjang as a teaching materials literature in high school. Research and research strategy this is a descriptive qualitative and case studies estabilished. Based on data analysis can be obtained as follows : background sosio historical story writer cerita pendek yang panjang, Hasta Indriyana is a writer from Gunungkidul, which has formulate the work of fiction and nonfiction and in a collection of the book together. The short story cerita pendek yang panjang, the main character is “Me”. Flow used in the short story this is a flow mixture. Background time in the short story is the case when the morning and afternoon while the background place of occurance is in a red light intersection three. Aspect of personalityin the short storythis includes the personality types of people wo empathyand the results of the motivation life can be implemented in the study level high school / MA class XI/I competence reading skills, the standard competence understand the elements of intrinsik nd extrinsic short stories Indonesian or translation.
INFORMATION MODEL OF SCHOLARLY PRODUCTS

Results of the scientific research – scholarly products – are not homogenous. They appear in different forms during different research activities and might be described with several related concepts. First one is the research workflow, which consists of several phases: from searching of the relevant information through data collecting to dissemination of the results. Every phase characterized by the activities, which described by scholarly primitives and the research products are the results of this activities. Second, the research products itself are represented by information of different types: content, data and knowledge. For example, during searching of the relevant information scientist produce several types of information: collection of papers/datasets/etc, several facts, derived from them, and research hypothesis, which express researcher’s personal ideas. For producing them modern scientists use research tools (the third concept), which could be distinguished by the information type too, but not always one-by-one: for example, most of the reference management programs are not only storing the papers, but also maintaining the work on the text reading. One more related concept – information availability, reflects openness and discoverability of the scholarly products and might be to the different degree supported by the instruments. We put these four concepts into the information model of the scholarly products, which will be helpful for managing research results.
COLLABORATION AND COMMUNITY OF PRACTICE IN ONLINE SOCIAL NETWORKING SERVICES AMONG MALAYSIAN UNIVERSITY STUDENTS

This article reports the results of an exploratory study to investigate the usage patterns of social networking services (SNS) by Malaysian tertiary level students. The focus in this paper is on the collaborative use of SNS including the factors (variables of level of study, gender and academic performance) that might have influenced how SNS is used by Malaysian students. This focus is necessary as so far, no research have looked at these variables across the population of Malaysian university students. An online survey was carried out using convenience sampling and this returned a usable result set of N=16661. Frequency analysis revealed that 68.6% of respondents used SNS to collaborate with their peers, and more than half join study groups on SNS (57.5%) as well as course groups created by their lecturers (56.1%) at a high level of frequency; many reported using SNSs often/all the time for these purposes. Further analysis showed statistical significance for almost all the variables investigated. However, results of Cohen’s effect size indicated that the differences between the Postgraduate-Undergraduate variable pairs (Collaboration d = 0.27 and Community of Practice d = 0.24) have a small to moderate practical significance which may be meaningful. The findings suggest that the practical and pedagogical differences between undergraduate and postgraduate levels of study should be given due consideration when integrating the use of SNS into higher education in Malaysia.
Determining ellipses from low-resolution images with a comprehensive image formation model

When determining the parameters of a parametric planar shape based on a single low-resolution image, common estimation paradigms lead to inaccurate parameter estimates. The reason behind poor estimation results is that standard estimation frameworks fail to model the image formation process at a sufficiently detailed level of analysis. We propose a new method for estimating the parameters of a planar elliptic shape based on a single photon-limited, low-resolution image. Our technique incorporates the effects of several elements—point-spread function, discretization step, quantization step, and photon noise—into a single cohesive and manageable statistical model. While we concentrate on the particular task of estimating the parameters of elliptic shapes, our ideas and methods have a much broader scope and can be used to address the problem of estimating the parameters of an arbitrary parametrically representable planar shape. Comprehensive experimental results on simulated and real imagery demonstrate that our approach yields parameter estimates with unprecedented accuracy. Furthermore, our method supplies a parameter covariance matrix as a measure of uncertainty for the estimated parameters, as well as a planar confidence region as a means for visualizing parameter uncertainty. The mathematical model developed in this paper may prove useful in a variety of disciplines that operate with imagery at the limits of resolution.
New Information Content Glossary Relatedness (ICGR) Approach for Short Text Similarity (STS) Tasks

The measurement of the relatedness of word semantics based on complementary Wikipedia and WordNet-based methods takes two forms, combined and integrative, which are aimed at increasing the semantic space between related words.However, each form has its own set of issues regarding its components and the strategy that is used to combine and integrate corpus-based and knowledge-based methods.In the integrative strategy, a large corpus, such as Wikipedia, is used to extract a set of related words for a particular concept as a basis for searching the WordNet space.The drawback to this strategy is in its use of a fixed scaling parameter, which only fits an implemented dataset that is near to a human score.Other corpusbased methods use a cut-off threshold that is determined experimentally to reduce the semantic space and to increase the search for a more accurate semantic space.Such methods merely take into account the frequency of bigrams, while ignoring the frequency of individual terms.Knowledge-based methods using a gloss overlap have a similar limitation to the corpus-based methods, where they lead to the loss of many valuable relatedness features that determine a more accurate measurement.Thus, in this paper, a new Information Content Glossary Relatedness (ICGR) approach was proposed in two steps, namely, an Extended-PMI based on a cut-off density threshold was proposed to extract a Robust Relatedness Vector set (RVS) of a large Wikipedia dataset.Then, a Semantic Structural Information (SSI) method was presented to use the RVS as a fulcrum to define the most relatedness gloss in the WordNet of each gloss and to select the top 5 glosses related to each RVS.The results showed that the proposed approach outperformed the state-of-the-art set, where the Extended-PMI achieved a Spearman's correlation of 0.89 to the human score and the ICGR approach achieved a Spearman's correlation of 0.8 to the human score.
An Intelligent IDE for Behavior Authoring in Real-Time Strategy Games

Behavior authoring for computer games involves writing behaviors in a programming language and then iteratively refining them by detecting issues with them. The main bottlenecks are a) the effort required to author the behaviors and b) the revision cycle as, for most games, it is practically impossible to write a behavior for the computer game AI in a single attempt. The main problem is that the current development environments (IDE) are typically mere text editors that can only help the author by pointing out syntactical errors. In this paper we present an intelligent IDE (iIDE) that has the following capabilities: it allows the author to program initial versions of the behaviors through demonstration, presents visualizations of behavior execution for revision, lets the author define failure conditions on the existing behavior set, and select appropriate fixes for the failure conditions to correct the behaviors. We describe the underlying techniques that support these capabilities inside our implemented iIDE and the future steps that need to be carried out to improve the iIDE.We also provide details on a preliminary user study showing how the new features inside the iIDE can help authors in behavior authoring and debugging in a real time strategy game.
An assessment of the translation-specificity of over-represented multi-word patterns in Swedish fiction texts translated from English

This paper discusses in what sense an over-represented multi-word pattern in a corpus of translated texts can be said to be typical of translated text. The purpose of the discussion is to assess, from a quantitative as well as from a qualitative perspective, the status of translational collocation data retrieved through data-driven methods from a comparable and parallel aligned cor¬pus of English and Swedish original and translated texts. The study focuses on the explicitation of clausal relations in translations from English into Swedish. In some cases, lexical and grammatical contrast lead to explicita¬tion, but in others explicitation is due to different factors.