Reviewerly/exHarmony huggingface dataset:
Traduction et linguistique diachronique: une relation de pourvoyeur à bénéficiaire

Translations, which are frequently used in contrastive linguistics to analyse syntactic or semantic features in different languages, are also precious instruments for the diachronic study of linguistic phenomena, especially if the corpus texts imply several historical stages of one language. These successive translations are all authentic testimonies by native speakers to the most appropriate expression of one and the same message in their language system.In this paper, we present the methodology underlying our approach and describe the basic corpus. Next, we sketch the current state of (the) research which is being carried out in this respect at the Catholic University of Leuven (K. U. Leuven). Recently, two new projects have enabled us to enlarge the corpus texts and to give a new orientation to our approach. We will therefore outline the prospects of our research.
Evaluating Immersive Approaches to Multidimensional Information Visualization

This dissertation investigates the use of Virtual Reality for the exploration of multidimensional data represented as 3D scatterplots. After an initial user study indicated that an immersive environment required less effort to find information and less navigation, but resulted in inefficient times and frequent user discomfort, we proposed and evaluated an alternative data exploration approach based on the use of physical movements, direct interaction with data at arms reach and a virtual reproduction of the analysts work desk. Through a second study, we demonstrate that this setup, named VirtualDesk, presents excellent results regarding user comfort, and performs equally or better in all tasks, while adding minimal or no time overhead and amplifying data exploration.
Strategic Study of On-Line Reading Clubs in Senior High School Libraries of Taiwan

In this 21st century, information flow has already reached a matured level. It is the time to promote on-line reading clubs, as high school students generally possess the ability to study by themselves through the internet. In 1990, Taiwan Ministry of Education announced the plan to practice inter-schools on-line reading clubs for all high schools and constructed the students’ website to achieve a significant milestone for on-line reading clubs on campus. The on-line reading clubs are running through interactive web pages, electronic book stores, discussion boards, knowledge sharing etc. The essence of these clubs is the combination of key elements: reading, materials and communication. In this research, we first conduct with questionnaire and interview approaches to study their current situations, executive guidelines, resource requirements, performance evaluations and operating strategies of on-line reading clubs in Taiwan. Then we give a blueprint of well-function on-line reading club web environment to encourage students to involve in the clubs and cultivate inter-school reading. Finally, we propose strategic suggestions for practicing on-line reading clubs in senior high school libraries.
Pendekatan Whole Word dan Strategi VAKT untuk Mengembangkan Keterampilan Fungsional Membaca dan Menulis Permulaan pada Anak dengan Retardasi Mental Ringan

This qualitative case study aimed to develop the functional reading and writing skills of mild mentally retarded children through whole word approach and VAKT strategy. The subject in this study was selected through the procedures of subject determination in qualitative research proposed by Sarantakos (1993, in Poerwandari 2005), namely: 1) not directed to the large number of participants but in typical cases according to the specificity of the research problem, 2) not directed to representation in terms of numbers or random events, but to context matches. Based on the above explanation, the researcher then determined the general criteria of the subjects / participants of the study as follows: 1) Subjects were children aged between 6-8 years old who were in kindergarten (group B) or elementary school (first grade or second grade), 2) subjects were children with mild mental retardation who have difficulty in developing functional reading and writing skills. Methods of data collection in this study were conducted through observation, interviews, and informal assessments, as well as documentation of field notes during data mining. Data analysis was performed by comparing the initial condition of the subject before stimulation implemented with the final condition of the subject after the stimulation completed. The results of data analysis indicated that the whole-word approach and VAKT strategy can be applied to develop the early functional reading and writing skills in children with mild mental retardation
Effectiveness of Module Based Learning regarding Facility Based Newborn Care in terms of knowledge and practices among nursing students

ABSTRACTBackground: Mobile Applications are being developed at a rapid speed and are intensively used by students. It can help to achieve better performance in organizing, managing, and monitoring classroom activities.Aims and objectives: Present study aimedto assess and compare the knowledge and practice regarding FBNC among nursing students in MBL group and MABL group before and after the administration of MBL and MABL. The conceptual framework of the study was based on CIPP model by Stufflebeam.Methods: A Quantitative research approach with quasi-experimental and non-equivalent controlgroup pre–test post–test design. The study was conducted at two nursing colleges of Ambala, Haryana. A total of 70 B.Sc. Nursing 3rd Year students, randomly allocated to 2 groups i.e. 35 in MBL and 35 in MABL. The tool used for the study consisted of structured knowledge questionnaire and observational check list was used to assess knowledge and practices by OSCE method of nursing students regarding FBNC. Data collection was done in January, 2017. The obtained data was analyzed and interpreted in terms of objectives and researchResults: Findingsof the study indicate that revealed that mean post- test knowledge and practices score in MBL group (21.4 ±0.89) and in MABL group (22.4 ± 0.54) was significantly higher than pre-test knowledge score in MBL group (14.6±15.0) and in MABL group (16.2±17.0). Also, the mean post-test practice score in MBL group (38.1±1.91) and in MABL group (38.9± 1.20) was significantly higher than pre-test practicescore in MBL (20.4 ± 3.70) as well as in MABL group (20.5 ± 4.26). Mild positive significant relationship (r=0.03) was found between post test score of knowledge and practicesConclusion: MABL was more effective in developing the practices of nursing students regarding FBNC than MBL.
When Abstractions Met Landmarks

Abstractions and landmarks are two powerful mechanisms for devising admissible heuristics for classical planning. Here we aim at putting them together by integrating landmark information into abstractions, and propose a concrete realization of this direction suitable for structural-pattern abstractions, as well as for other abstraction heuristics. Our empirical evaluation shows that landmark information can substantially improve the quality of abstraction heuristic estimates.
Generating Maps Using Markov Chains

In this paper we outline a method of procedurally generating maps using Markov Chains. Our method attempts to learn what makes a "good" map from a set of given human-authored maps, and then uses those learned patterns to generate new maps. We present an empirical evaluation using the game "Super Mario Bros.," showing encouraging results.
Identifying Rhetorical Questions in Social Media

Social media provides a platform for seeking information from a large user base. Information seeking in social media, however, occurs simultaneously with users expressing their viewpoints by making statements. Rhetorical questions have the form of a question but serve the function of a statement and might mislead platforms assisting information seeking in social media. It becomes difficult to identify rhetorical questions as they are not syntactically different from other questions. In this paper, we develop a framework to identify rhetorical questions by modeling the motivations of the users to post them. We focus on one motivation of the users drawing from linguistic theories, to implicitly convey a message. We develop a framework from this motivation to identify rhetorical questions in social media and evaluate the framework using questions posted on Twitter. This is the first framework to model the motivations for posting rhetorical questions to identify them on social media platforms.
On Squares of Cyclic Codes

The square C * 2 of a linear error correcting code C is the linear code spanned by the component-wise products of every pair of (non-necessarily distinct) words in C. Squares of codes have gained attention for several applications mainly in the area of cryptography, and typically in those applications one is concerned about some of the parameters (dimension, minimum distance) of both C * 2 and C. In this paper, motivated mostly by the study of this problem in the case of linear codes defined over the binary field, squares of cyclic codes are considered.General results on the minimum distance of the squares of cyclic codes are obtained and constructions of cyclic codes C with relatively large dimension of C and minimum distance of the square C * 2 are discussed.In some cases, the constructions lead to codes C such that both C and C * 2 simultaneously have the largest possible minimum distances for their length and dimensions.
Quantum Rate-Distortion Coding of Relevant Information

Rate-distortion theory provides bounds for compressing data produced by an information source to a specified encoding rate that is strictly less than the source's entropy. This necessarily entails some loss, or distortion, between the original source data and the best approximation after decompression. The so-called Information Bottleneck Method is designed to compress only “relevant” information. Which information is relevant is determined by the correlation between the data being compressed and a variable of interest, so-called side information. In this paper, an Information Bottleneck Method is introduced for the compression of quantum data. The channel communication picture is used for compression and decompression. The rate of compression is derived using an entanglement-assisted protocol with classical communication, and under an unproved conjecture that the rate function is convex in the distortion parameter. The optimum channel achieving this rate for a given input state is characterized. The conceptual difficulties arising due to differences in the mathematical formalism between quantum and classical probability theory are discussed and solutions are presented.
Data Driven Sokoban Puzzle Generation with Monte Carlo Tree Search

In this work, we propose a Monte Carlo Tree Search (MCTS) based approach to procedurally generate Sokoban puzzles. Our method generates puzzles through simulated game play, guaranteeing solvability in all generated puzzles. We perform a user study to infer features that are efficient to compute and are highly correlated with expected puzzle difficulty. We combine several of these features into a data-driven evaluation function for MCTS puzzle creation. The resulting algorithm is efficient and can be run in an anytime manner, capable of quickly generating a variety of challenging puzzles. We perform a second user study to validate the predictive capability of our approach, showing a high correlation between increasing puzzle scores and perceived difficulty.
Sentiment Analysis of Tweets to Gain Insights into the 2016 US Election

Social media use is at an all-time historic high for the United States, so we considered one popular social media platform, Twitter, and tried to see if we could predict how a group of people felt about an issue by only using posts from social media. For our research, we looked at tweets that focused on the 2016 United States presidential election. Using these tweets, we tried to find a correlation between tweet sentiment and the election results. We wrote a program to collect tweets that mentioned one of the two candidates, then sorted the tweets by state and developed a sentiment algorithm to see which candidate the tweet favored, or if it was neutral. After collecting the data from Twitter and comparing it to the results of the Electoral College, we found that Twitter sentiments corresponded with 66.7% of the actual outcome of the Electoral College. The overall sentiment of all tweets collected leaned more positively towards Donald Trump than it did for Hillary Clinton. Using the data that was collected, we also looked at how different geographical locations affected a candidate’s popularity, analyzed what issues were most prevalent in tweets, and looked at the ratio of a state’s population versus the number of tweets gathered.
Developing An Interactive Learning Network Using Tablet Pcs In Sophomore Level Engineering Courses

The importance of active and interactive learning in science and engineering education has long been recognized, and interactive and collaborative teaching and learning techniques are routinely employed in small laboratory and discussion sessions.Wireless technology coupled with penbased computing technology that is suited for analyzing and solving engineering problems provides an ideal venue for these interactive teaching and learning methods to be applied to a larger, more traditional lecture setting.This study focuses on how Tablet PCs and wireless technology can be used during classroom instruction to create an Interactive Learning Network (ILN) that allows real-time student assessment and assistance.The ILN is designed to enhance the instructor's ability to solicit active participation from all students during lectures, to conduct immediate and meaningful assessment of student learning, and to provide needed real-time feedback and assistance to maximize student learning.This interactive classroom environment is created using wireless Tablet PCs and a software application, NetSupport School, which allows various levels of interactions between the instructor and the students during lectures, thereby enhancing the instructor's ability to systematically monitor and control individual student progress, assess their understanding through instant surveys, and provide immediate feedback and assistance through the wireless network.Results from two separate controlled studies of the implementation of this model of interactive teaching and learning in sophomore-level Engineering Dynamics courses show statistically significant positive impact on student performance.Additionally, results of student surveys show overwhelmingly positive student perception of the effects of this model of classroom environment on their learning experience.These results indicate that the interactive classroom environment developed using wireless Tablet PCs has the potential to be a more effective teaching pedagogy compared to traditional instructor-centered teaching environments, and should be applied to math, science and other engineering courses with traditionally high attrition rates.
A Possible Worlds Model of Belief for State-Space Narrative Planning

What characters believe, how they act based on those beliefs,and how their beliefs are updated is an essential element of many stories. State-space narrative planning algorithms treat their search spaces like a set of temporally possible worlds. We present an extension that models character beliefs as epistemically possible worlds and describe how such a space is generated. We also present the results of an experiment that demonstrates that the model meets the expectations of a human audience.
Quantum walk hydrodynamics

Abstract A simple Discrete-Time Quantum Walk (DTQW) on the line is revisited and given an hydrodynamic interpretation through a novel relativistic generalization of the Madelung transform. Numerical results show that suitable initial conditions indeed produce hydrodynamical shocks and that the coherence achieved in current experiments is robust enough to simulate quantum hydrodynamical phenomena through DTQWs. An analytical computation of the asymptotic quantum shock structure is presented. The non-relativistic limit is explored in the Supplementary Material (SM).
Single Day Outdoor Photometric Stereo

Photometric Stereo (PS) under outdoor illumination remains a challenging, ill-posed problem due to insufficient variability in illumination. Months-long capture sessions are typically used in this setup, with little success on shorter, single-day time intervals. In this paper, we investigate the solution of outdoor PS over a single day, under different weather conditions. First, we investigate the relationship between weather and surface reconstructability in order to understand when natural lighting allows existing PS algorithms to work. Our analysis reveals that partially cloudy days improve the conditioning of the outdoor PS problem while sunny days do not allow the unambiguous recovery of surface normals from photometric cues alone. We demonstrate that calibrated PS algorithms can thus be employed to reconstruct Lambertian surfaces accurately under partially cloudy days. Second, we solve the ambiguity arising in clear days by combining photometric cues with prior knowledge on material properties, local surface geometry and the natural variations in outdoor lighting through a CNN-based, weakly-calibrated PS technique. Given a sequence of outdoor images captured during a single sunny day, our method robustly estimates the scene surface normals with unprecedented quality for the considered scenario. Our approach does not require precise geolocation and significantly outperforms several state-of-the-art methods on images with real lighting, showing that our CNN can combine efficiently learned priors and photometric cues available during a single sunny day.
Theoretical Principles of Using Steam-Technologies in the Preparation of the Teacher of the New Ukrainian School

The Urgency of the problem of STEAM-education, need for training of relevant specialists, especially teachers for using modern digital technologies in the process of teaching students, orientation of the younger generation on STEM professions are discussed in the article. The essence of the digital competence of a modern specialist, which includes a system of knowledge and skills according to the conscious, responsible and critical use of digital technologies in the process of educational and labour activity, civil or social activity is defined by the author. It is revealed that the teacher's digital competence is manifested in his/her information literacy, culture of using data, communication in the information space, the ability to create relevant digital content. Theoretical principles of the introduction of innovative technologies in the pedagogical process of the New Ukrainian school are described. The forms and methods of using STEAM-technologies in a modern educational establishment are presented. The author stresses there is a need to use various learning tools during the work with students: presentations, laboratory tutorials and simulations, discussions, and peer collaboration to support learning activity, exploration, etc
Self-learning of Information Literacy Competencies in Higher Education: The Perspective of Social Sciences Students

Preference for autonomous versus directed learning for the acquisition of information competencies (ICs) was analyzed among undergraduate social science students according to gender, degree program, belief in importance, and self-efficacy. Data were gathered using the IL-HUMASS (Information Literacy Humanities Social Sciences) online survey from students at five public Spanish universities enrolled in audiovisual communication, education, information science, pedagogy, journalism, psychology, social work, and tourism undergraduate programs during the 2013–2014 academic year. Mann-Whitney U, Kruskal-Wallis, and chi-square tests, as well as discriminant analysis, were performed. The results revealed a higher preference for the directed learning style in the four IL competency categories: searching, evaluation, processing, and communication-dissemination. Audiovisual communication, education, and journalism students showed a predilection for autonomous learning, whereas information science and psychology students preferred directed learning. Higher scores in belief in importance correlated with a greater preference for autonomous learning. In contrast, higher levels of self-efficacy were associated with a greater preference for directed learning.
An econometric study of the role of the political stability on the relationship between democracy and economic growth

This article examines the nexus between democracy and economic growth while taking into account the role of political stability, using dynamic panel data model estimated by means of the Generalized Method of Moments (GMM) over the period 1998 to 2011 for 17 Middle East and North Africa (MENA) countries. Our empirical results showed that there is a bidirectional causal relationship between democracy and economic growth. Moreover, it was found that the effect of democracy on economic growth depends on the political stability. The results also indicated that there is important complementarity between political stability and democracy. In fact, political stability is a key determinant variable of economic growth. Eventually, democracy and political stability, taken together, have a positive and statistically significant effect on economic growth. This finding suggests that, if accompanied by a stable political system, democracy can contribute to the economic growth of countries. Thus, the MENA governments should use policies to promote political stability in the region.
Positive-partial-transpose square conjecture for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>3</mml:mn></mml:mrow></mml:math>

We present the PPT square conjecture introduced by M. Christandl. We prove the conjecture in the case $n=3$ as a consequence of the fact that two-qutrit PPT states have Schmidt at most two. Our result in Lemma 3 is independent from the proof found M\"uller-Hermes. M\"uller-Hermes announced that this conjecture is true for the states on $\mathbb{C}_3\otimes\mathbb{C}_3$ \cite{hermes} recently. The PPT square conjecture in the case $n\ge4$ is still open.
Realizing Euclidean distance matrices by sphere intersection

This paper presents the theoretical properties of an algorithm to find a realization of a (full) n×n Euclidean distance matrix in the smallest possible embedding dimension. Our algorithm performs linearly in n, and quadratically in the minimum embedding dimension, which is an improvement w.r.t. other algorithms.
Semantic Web Services Composition in the astrophysics domain: Issues and solutions

Semantic Web services (SWS) have been hailed for their role in realizing the potential of composing services in the context of service-oriented computing. However, many application domains, such as astrophysics, require a major rethinking of how service composition should take place despite his potential. In this paper, we describe an approach for automatic, user-friendly SWS composition for the astrophysics domain that features certain particularities like correlated or optional inputs, aggregates, and inclusion of non-Web services. The approach selects the best SWSs using non-functional requirements along with users’ previous experience feedback and is demonstrated using some real astrophysics services.