Miracle-dz/UniFAR-FTUs huggingface dataset:
Sustaining interaction dynamics and engagement in dyadic child-robot interaction kinesics: lessons learnt from an exploratory study

Motivated by questions of interaction design for human-robot interaction (HRI), an exploratory initial study was carried out with children and a robotic "pet" in order to improve understanding the design space for interaction with an autonomous robot. Interactions were very unstructured in a relaxing and familiar environment. The scope of the study was quite broad in order to cover a wide range of possibly relevant types of interactions. The study of the resulting interaction dynamics - with rich and with poor contextual cues - identifies key factors for interaction design and suggests some guidelines for initiating, maintaining, and regulating on-going interaction. In particular, non-directed and directional feedback, turn-taking rhythms, and the interactional kinesics of human-robot dyads are discussed dimensions for HRI design. This is hoped to enable future studies to specifically address in more depth the issues raised in this paper.
First Language Interference in EFL Students’ Composition of IAIN Salatiga in The Academic Year Of 2014/2015

This study aimed at analyzing interference error caused by first language interference made by English Foreign Language (EFL) students of IAIN Salatiga in their English composition. The objectives are to find out type of interference, frequency of each type, the most dominant type, and the factors contribute to language interference in EFL students’ composition. This is a descriptive-qualitative research. The data were taken through elicitation technique and documentation, and then analyzed by using theory of language interference. The findings of this study showed that EFL students made two types of interference; lexical interference and syntactical interference. Lexical interference fell into five categories: loanwords, literal translation at level of word, literal translation of L1 preposition, literal translation of L1 adverb of manner, and literal translation of L1 comparative degree of adjective. Syntactical interference also fell into five categories: the use of L1 structure in target language, the use of L1 structure in English noun phrase, literal translation in negation of verbal sentence, literal translation in negation of nominal sentence, and literal translation in nominal sentence of affirmative form.
Improving Fault Detection Capability Using Coverage Based Analysis

A test suite for a system consists of several test cases and as the number of test cases is more, execution of all of these will take much time. If the number of test cases are reduced the execution time could be reduced. Moreover, if the execution of these is done in an ordered fashion ,it is observed to give an increased rate of fault detection. This can further be beneficial by providing feedback to system developers , improving fault fixing activity and thus ,software delivery. The reduction of test cases can be done in several ways. But the scenario is different when functional dependencies exists between some test cases, that is, one test case is needed to be executed before another. In this paper, two test case reduction techniques will be presented which will be followed by using the dependency information from a test suite. The first reduction technique considers all of the test cases while the second one is applied on the rejected suite obtained after implementing the first technique. This work is actually based on the hypothesis that lesser number of test cases will reduce the execution time, provided that the reduced test suite contains cases which collectively will cover the testing of every statement in the source code. Existing dependencies between different tests represent the interaction in the system under test, and hence, execution of complex instructions earlier is supposed to increase the fault detection rate, compared to arbitrary or untreated test orderings. Thus, the dependency information could further be used for prioritization of the test cases.
Reconstruction of gene regulation networks from microarray data by Bayesian networks

: In this work, we reconstruct the gene regulation networks from the microarray experiments data by Bayesian networks approach. We use the evolutionary algorithm for the search-and-score based structure learning methods. The learned network is tested by the hypothesis testing with two populations of patient data, one with treatment (drugs), other without treatment. The answer of question ”How does the treatment inﬂuence to gene regulation? ” is expected.
Haut contraste par réarrangement de pupille pour la détection d'exoplanètes

La detection des exoplanetes et de l’environnement d’etoiles jeunes tel que les disques de debris fait face a deux difficultes majeures : d’une part, la faible distance angulaire entre le compagnon (ou le disque) et son etoile hote, et d’autre part, le contraste eleve entre les deux composantes en terme de flux. L’interferometrie est une des techniques permettant de palier ces deux problematiques en apportant une detection a la fois a haute resolution angulaire et a haute dynamique. C’est tout particulierement le cas dans la mise en oeuvre de l’interferometrie annulante, aussi appelee interferometrie en frange noire, lors de laquelle on vient eteindre le flux de l’etoile principale grâce aux proprietes de coherence de la lumiere.On recombine la lumiere issue de deux telescopes ou plus de sorte a faire interferer destructivement les photons provenant de l’etoile principale et constructivement pour les photons venant du compagnon ou du disque environnant. Mon travail de these s’inscrit dans ce cadre, avec l’etude de donnees observationnelles de huit disques de debris realisees au Very Large Telescope, grâce a la technique interferometrique de masquage de pupille. Lors de cette etude j’ai realise la reduction des donnees interferometriques et une analyse des termes de clotures de phase. Puisque aucun compagnon n’a ete detecte dans les donnees, j’en ai deduit les limites de detection en termes de luminosite et de masse estimee a l’aide d’isochrones issue de modele d’evolution.Ma these a egalement consiste en une composante experimentale, avec la conception et l’etalonnage de l’instrument FIRST-IR (Fibered Imager foR a Single Telescope InfraRed) en laboratoire, a l’Observatoire de Meudon. Cet instrument est un interferometre qui associe la technique de rearrangement de pupille fibre et la recombinaison de la lumiere paroptique integree. Le type d’optique integree etudie ici est un composant optique planaire sur lequel des guides d’ondes ont ete graves. l’optique integree est de type nuller et prend en entree le flux de quatre sous-pupilles. Les guides sont agences selon une certaine architecture permettant de realiser dans un premier temps une fonction annulante sur trois bases puis une mesure des franges d’interference sur les trois voies annulees. J’ai realise un etalonnage complet de cette optique integree ainsi que des mesures de cloture de phase.En conclusion, j’ai pu montrer la viabilite de l’instrument FIRST-IR avec ce nouveau concept d’optique integree de type nuller. En particulier j’ai demontre que la mesure de la cloture de phase reste stable pour une cible point source, quel que soit le taux d’annulation interferometrique applique.
[18F]Fluoro-2-deoxy-d-glucose Positron Emission Tomography Detects Gastric Carcinoma in an Early Stage in an Asymptomatic E-Cadherin Mutation Carrier

Purpose: Autosomal dominant hereditary diffuse gastric cancer (HDGC) is caused by germ-line E-cadherin (CDH1) gene mutations. Early detection of cancer in carriers is difficult because HDGC escapes endoscopic detection. We hypothesized that the glucose metabolism is enhanced in HDGC and that this can be detected with [18F]fluoro-2-deoxy-d-glucose positron emission tomography (FDG-PET). Experimental Design and Results: An asymptomatic twenty-eight year-old female was seen at our outpatient clinic because of a request for screening on HDGC. Her father and younger sister died of diffuse gastric cancer, at the ages of 52 and 27, respectively. Mutational analysis of the CDH1 gene in this patient demonstrated a novel heterozygous splice-site mutation in exon 8 (1135delACGGTAATinsTTAGA). Upper gastrointestinal endoscopies revealed no macroscopic abnormalities, but one of the 40 random biopsy specimens showed well-differentiated signet-cell carcinoma. A FDG-PET scan demonstrated two spots of FDG accumulation, one located in the proximal part of the stomach and the second in the region of the pylorus. A total gastrectomy was performed and microscopic examination showed focal localization of intramucosal adenocarcinoma of the signet-cell type in the cardiac and antrum area. Most notably, the localization of the FDG accumulation matched the localization of the carcinoma. Conclusions: We present an asymptomatic patient from a HDGC family carrying a novel CDH1 mutation in whom FDG-PET scanning facilitated early detection of HDGC. This calls for further investigation of the role of FDG-PET scan as a screening modality in HDGC.
Practical Linear Value-approximation Techniques for First-order MDPs

Recent work on approximate linear programming (ALP) techniques for first-order Markov Decision Processes (FOMDPs) represents the value function linearly w.r. t. a set of first-order basis functions and uses linear programming techniques to determine suitable weights. This approach offers the advantage that it does not require simplification of the first-order value function, and allows one to solve FOMDPs independent of a specific domain instantiation. In this paper, we address several questions to enhance the applicability of this work: (1) Can we extend the first-order ALP framework to approximate policy iteration and if so, how do these two algorithms compare? (2) Can we automatically generate basis functions and evaluate their impact on value function quality? (3) How can we decompose intractable problems with universally quantified rewards into tractable subproblems? We propose answers to these questions along with a number of novel optimizations and provide a comparative empirical evaluation on problems from the ICAPS 2004 Probabilistic Planning Competition.
Using Partial Least Squares Regression in Marketing Research

Small datasets, missing values and the presence of multicollinearity often plague samples used in marketing research. Partial-least squares regression (PLS) is a statistical tool specifically designed to cope with such problems. The paper proceeds first with a concise review of the PLS method. It then highlights particular conditions when applying a standard OLS regression leads to unstable statistical results. The argument is supported with an empirical application on the market orientation/performance link. In conclusion, it is called for an increased reliance on the use of PLS in research.
Integrated Estimation for Wheeled Mobile Robot posture, velocities, and wheel skidding perturbations

This paper presents a scheme for high-update rate wheel mobile robot (WMR) posture, velocities, and perturbation estimation using real-time kinematic global positioning system (RTK-GPS) and inertial sensors for WMR control in the presence of wheel skidding and slipping. An outdoor estimation system based on Kalman filtering combines the inertial measurements with centimeter accuracy RTK-GPS measurements to provide essential posture, velocities, and perturbation information. The particular contribution of this paper is in designing an estimation system to be able to deal with WMR control problems in the presence of wheel skidding and slipping. The experimental results suggest that with careful modelling of WMR, the estimation scheme is able to provide reliable and high update rate information for WMR control applications in the presence of wheel skidding and slipping.
The Use of Wireless Signals for Sensing and Interaction

Gestures are a natural form of human interaction. As such there has been much research in using gesture recognition as a way of interacting with electronic devices. In this essay we discuss the possibilities and limitations of using radiofrequency signals to track and classify human motion. For this we present four projects from recent research that leverage wireless signals such as Wi-Fi or ambient TV broadcastings to detect and recognize gestures, both with and without having direct line-of-sight and without instrumenting the human body.
Image annotation: which approach for realistic databases?

This paper describes an efficient approach to image annotation. It ranked first on the recent scene categorization track of the ImagEVAL1 benchmark. We show how homogeneous global image descriptors combined with a pool of Support Vector Machines achieve very good results. We also used this approach on several well known object recognition databases to emphasize two main aspects of this research domain: the importance of contextual information in object recognition and the unsuitability of many standard databases for this task.
Soft Discretization to Enhance the Continuous Decision Tree Induction

Decision tree induction has been widely used to generate classifiers from training data through a process of recursively splitting the data space. In the case of training on continuous-valued data, the associated attributes must be discretized in advance or during the learning process. The commonly used method is to partition the attribute range into two or several intervals using a single or a set of cut points. One inherent disadvantage in these methods is that the use of sharp (crisp) cut points makes the induced decision trees sensitive to noise. To overcome this problem this paper presents an alternative method, called soft discretization, based on fuzzy set theory. As opposed to a classical decision tree, which gives only one class as the end result, the soft discretization based decision tree associates a set of possibilities to several or all classes for an unknown object. As a result, even if uncertainties existed in the object, the decision tree would not give a completely wrong result, but a set of possibility values. This approach has been successfully applied to an industrial problem to monitor a typical machining process. Experimental results showed that, by using soft discretization, better classification accuracy has been obtained in both training and testing than classical decision tree, which suggest that the robustness of decision trees could be improved by means of soft discretization.
Q fever in The Netherlands: the role of local environmental conditions

The Netherlands is facing a Q fever epidemic in which dairy goats are implicated. People living close to an affected farm have an increased risk. However, no human cases were reported around a number of farms with serious Q fever problems. To assess the role of local environmental conditions which may add to the transmission or risk of Q fever, we gathered datasets on vegetation, land use, soil characteristics, and weather conditions in 5 km areas around infected farms. Areas without transmission had a higher vegetation density and relatively shallow groundwater conditions. Vegetation and soil moisture are relevant factors in the transmission of Coxiella burnetii from infected farms to humans, by reducing the amount of dust available for dispersion of the bacteria. The findings suggest that intensive goat and sheep husbandry should be avoided in areas that are characterized by a combination of arable land with deep groundwater and little vegetation.
Distinctly Different Dynamics and Kinetics of Two Steroid Receptors at the Same Response Elements in Living Cells

Closely related transcription factors (TFs) can bind to the same response elements (REs) with similar affinities and activate transcription. However, it is unknown whether transcription is similarly orchestrated by different TFs bound at the same RE. Here we have compared the recovery half time (t1/2), binding site occupancy and the resulting temporal changes in transcription upon binding of two closely related steroid receptors, the androgen and glucocorticoid receptors (AR and GR), to their common hormone REs (HREs). We show that there are significant differences at all of these levels between AR and GR at the MMTV HRE when activated by their ligands. These data show that two TFs bound at the same RE can have significantly different modes of action that can affect their responses to environmental cues.
Goal-Related Activity in Hippocampal Place Cells

Place cells are hippocampal neurons whose discharge is strongly related to a rat's location in its environment. The existence of place cells has led to the proposal that they are part of an integrated neural system dedicated to spatial navigation, an idea supported by the discovery of strong relationships between place cell activity and spatial problem solving. To further understand such relationships, we examined the discharge of place cells recorded while rats solved a place navigation task. We report that, in addition to having widely distributed firing fields, place cells also discharge selectively while the hungry rat waits in an unmarked goal location to release a food pellet. Such firing is not duplicated in other locations outside the main firing field even when the rat's behavior is constrained to be extremely similar to the behavior at the goal. We therefore propose that place cells provide both a geometric representation of the current environment and a reflection of the rat's expectancy that it is located correctly at the goal. This on-line feedback about a critical aspect of navigational performance is proposed to be signaled by the synchronous activity of the large fraction of place cells active at the goal. In combination with other (prefrontal) cells that provide coarse encoding of goal location, hippocampal place cells may therefore participate in a neural network allowing the rat to plan accurate trajectories in space.
Modified Schema-Based Instruction to Develop Flexible Mathematics Problem-Solving Strategies for Students With Autism Spectrum Disorder

The Common Core State Standards in Mathematics outline both the content and practices students must engage in at each grade level to become mathematically proficient. Mathematical processes include problem solving, reasoning and proof, communication, and procedural fluency, which includes flexible thinking. The purpose of this study was to evaluate the effectiveness of modified schema-based instruction (MSBI) on the acquisition and maintenance of math content and practices by middle school students with autism spectrum disorder (ASD). Two middle school students with ASD learned to solve proportional word problems containing extraneous information. Specifically, we measured mathematical problem-solving flexibility and communication using a 4-point rubric. Results of the reversal design found a functional relation between MSBI and the students’ ability to flexibly solve the mathematical word problems and explain their answer, suggesting MSBI may be a useful strategy for some students with ASD.
Operation of a GERDA Phase I prototype detector in liquid argon and nitrogen

The GERDA (GERmanium Detector Array) experiment aiming to search for the neutrinoless double beta decay (0 ) of 76 Ge at the Laboratori Nazionali Del Gran Sasso (LNGS), Italy, will operate bare enriched high-purity germanium (HPGe) detectors in liquid argon. GERDA Phase I will use the enriched diodes from the previous Heidelberg-Moscow (HdM) [1] and IGEX [2] experiments. With the HPGe detectors mounted in a low-mass holder, GERDA aims at an excellent energy resolution and extremely low background. The goal is to check the claim for the 0 evidence in the HdM [3] 76 Ge experiment within 1 year of data taking. Before dismounting the enriched diodes from their cryostat, the performance parameters of the HdM and the IGEX detectors have been measured. The diodes have been removed from their cryostats, their dimensions measured and they have been put under vacuum in a transportation container. They are now being refurbished for GERDA Phase I at Canberra Semiconductor NV [4]. Before operating the enriched diodes, a non-enriched HPGe p-type detector mounted in a low-mass holder is operated in the liquid argon test facility of the GERDA Detector Laboratory (GDL), LNGS. Since January 2006, the testing of the prototype detector is being carried out in the GDL as well as at the site of the detector manufacturer.
Achieving Escape Velocity: Neighborhood and School Interventions to Reduce Persistent Inequality

This paper reviews the evidence on the efficacy of neighborhood and school interventions in improving the long-run outcomes of children growing up in poor families. We focus on studies exploiting exogenous sources of variation in neighborhoods and schools and which examine at least medium-term outcomes. Higher-quality neighborhoods improve family safety, adult subjective well-being and health, and girls' mental health. But they have no detectable impact on youth human capital, labor market outcomes, or risky behaviors. In contrast, higher-quality schools can improve children's academic achievement and can have longer-term positive impacts of increasing educational attainment and earnings and reducing incarceration and teen pregnancy.
Branch Migration Prevents DNA Loss during Double-Strand Break Repair

The repair of DNA double-strand breaks must be accurate to avoid genomic rearrangements that can lead to cell death and disease. This can be accomplished by promoting homologous recombination between correctly aligned sister chromosomes. Here, using a unique system for generating a site-specific DNA double-strand break in one copy of two replicating Escherichia coli sister chromosomes, we analyse the intermediates of sister-sister double-strand break repair. Using two-dimensional agarose gel electrophoresis, we show that when double-strand breaks are formed in the absence of RuvAB, 4-way DNA (Holliday) junctions are accumulated in a RecG-dependent manner, arguing against the long-standing view that the redundancy of RuvAB and RecG is in the resolution of Holliday junctions. Using pulsed-field gel electrophoresis, we explain the redundancy by showing that branch migration catalysed by RuvAB and RecG is required for stabilising the intermediates of repair as, when branch migration cannot take place, repair is aborted and DNA is lost at the break locus. We demonstrate that in the repair of correctly aligned sister chromosomes, an unstable early intermediate is stabilised by branch migration. This reliance on branch migration may have evolved to help promote recombination between correctly aligned sister chromosomes to prevent genomic rearrangements.