Miracle-dz/UniFAR-FTUs huggingface dataset:
Memory for Form and Color in Virtual and Real Environments

Three experiments that differed in terms of environment type (two virtual and one real) required participants to remember the location of 12 unique geometric objects that varied in terms of form (cone, cube, and sphere) and color (blue, green, red, and yellow). The results showed that regardless of environment type (virtual or real), participants showed significantly better encoding/memory for an object’s form than for its color. This highlights the importance of emphasizing object shape to assist learning and memory in virtual environments.
Differentiating Instruction in the Regular Classroom: How to Reach and Teach All Learners

It is fully updated edition of this bestselling resource. Presents a menu of practical, tested strategies any teacher can use to meet students' diverse learning needs. In this updated edition, Dr Heacox provides a practical introduction to differentiation and explains how to differentiate instruction in a wide range of settings to provide variety and challenge in how teachers teach and in how students learn. Individual chapters focus on evaluation in a differentiated classroom and how to manage both behavior and work tasks. The author describes ways to get to know students and recognize that all have strengths and limitations. Templates and forms simplify planning and examples illustrate differentiation in many context areas. The accompanying CD-ROM provides a PowerPoint presentation for use in staff training plus hosts of reproducible forms from the book.
Investigation of the encoding processes involved in the production of French Adjective-noun Phrases: a psycholinguistic and linguistic approach

This thesis investigates the span of encoding in the production of French adjective-noun phrases (NPs). While speaking, speakers do not only articulate the portion of the sentence they have already encoded, they are also planning the rest of the sentence. The question then is what amount of planning scope is necessary to insure fluency in the production of a multiword utterance? This unit of encoding must be large enough to guaranty speech fluidity but small enough to prevent cognitive overload and speech outburst. Similarly, we investigate whether this amount of encoding varies and if it does, which constraints determine it. In a series of behavioural and ERP studies, we compare the production of one-word NPs to two-word NPs of two different syntactic structures (adjective+noun and noun+adjective). Our results show that the span of encoding is not constrained by syntactic structure and that the minimal unit of encoding varies across speakers.
Artistic Crimes and Misdemeanours

Denis Dutton claimed that, to grasp why it matters to the artistic value of a painting like The Disciples at Emmaus that it was painted by van Meegeren in the first half of the twentieth century rather than by Vermeer in the seventeenth century, we need to locate what van Meegeren did in a wider class of ‘artistic crimes’ involving ‘misrepresented artistic performances’. I begin by clarifying how the notions of ‘artistic performance’ and ‘misrepresentation’ are to be understood in the context of Dutton’s paper. I survey a range of examples of misrepresented artistic performances in Dutton’s sense, and ask when they involve ‘artistic crimes’. I then seek a principled way of justifying what seem to be our clear intuitions—apparent in our artistic practice—as to which ‘misrepresented artistic performances’ are artistic crimes and which are not.
Ventilatie en de samenhang met radon in nieuwbouwwoningen in Nederland. Resultaten en analyses van tracermetingen in het project VERA

Het radioactieve edelgas radon is in Nederlandse nieuwbouwwoningen overwegend afkomstig uit bouwmaterialen. In mindere mate is het afkomstig uit de bodem - via de kruipruimte of de buitenlucht. Dit blijkt uit onderzoek dat het RIVM heeft uitgevoerd in opdracht van het ministerie van VROM. In het onderzoek zijn de resultaten gecombineerd van ventilatie- en radonmetingen in meer dan driehonderd nieuwbouwwoningen in Nederland. Het gaat om woningen die tussen 1994 en 2003 zijn gebouwd. In eerdere studies is aangetoond dat blootstelling aan straling in de woning voor ruwweg de helft bijdraagt aan de stralingsbelasting die Nederlandse burgers gemiddeld door het jaar heen oplopen. Een groot deel van de stralingsbelasting binnenshuis is het gevolg van het inademen van radioactieve vervalproducten van radon. Luchtstromen transporteren radon door de woning. Een nauwkeurige inschatting van de luchtstromen tussen verschillende ruimten in afzonderlijke woningen blijkt moeilijk te verwezenlijken. Voor een gemiddelde woning is dit wel gerealiseerd. Zo is afgeleid dat de uitwisseling van lucht tussen de hal en andere ruimten sterker is dan de luchtstromen tussen de andere ruimten onderling. Bovendien is gebleken dat ventilatie de hoeveelheid radon vermindert die zich verzamelt in leefruimten, zoals de slaap- en de woonkamer.
An evaluation of subspace iteration software for sparse nonsymmetric eigenproblems

During the last decade there has been a rise in interest in numerical methods for computing eigenvalues (and eigenvectors) of large sparse nonsymmetric matrices. The research eort is now being accompanied by the development of high-quality mathematical software. One of the methods which has received attention is that of subspace iteration and several software packages implementing subspace iteration algorithms have become available. In this report, as part of an extensive study to evaluate state-of-the-art software for the sparse nonsymmetric eigenproblem, we review subspace iteration software. We look at the key features of the software, the main dierences between the packages, and their ease of use. Then, using a wide range of test matrices arising from practical problems, we compare the performance of the codes in terms of storage requirements, execution times, accuracy, and reliability , and consider their suitability for solving large-scale industrial problems. in the directory pub/reports.
Uncertainty Analysis with High Dimensional Dependence Modelling

Preface. 1 Introduction. 1.1 Wags and Bogsats. 1.2 Uncertainty analysis and decision support: a recent example. 1.3 Outline of the book. 2 Assessing Uncertainty on Model Input. 2.1 Introduction. 2.2 Structured expert judgment in outline. 2.3 Assessing distributions of continuous univariate uncertain quantities. 2.4 Assessing dependencies. 2.5 Unicorn. 2.6 Unicorn projects. 3 Bivariate Dependence. 3.1 Introduction. 3.2 Measures of dependence. 3.3 Partial, conditional and multiple correlations. 3.4 Copulae. 3.5 Bivariate normal distribution. 3.6 Multivariate extensions. 3.7 Conclusions. 3.8 Unicorn projects. 3.9 Exercises. 3.10 Supplement. 4 High-dimensional Dependence Modelling. 4.1 Introduction. 4.2 Joint normal transform. 4.3 Dependence trees. 4.4 Dependence vines. 4.5 Vines and positive definiteness. 4.6 Conclusions. 4.7 Unicorn projects. 4.8 Exercises. 4.9 Supplement. 5 Other Graphical Models. 5.1 Introduction. 5.2 Bayesian belief nets. 5.3 Independence graphs. 5.4 Model inference. 5.5 Conclusions. 5.6 Unicorn projects. 5.7 Supplement. 6 Sampling Methods. 6.1 Introduction. 6.2 (Pseudo-) random sampling. 6.3 Reduced variance sampling. 6.4 Sampling trees, vines and continuous bbn's. 6.5 Conclusions. 6.6 Unicorn projects. 6.7 Exercise. 7 Visualization. 7.1 Introduction. 7.2 A simple problem. 7.3 Tornado graphs. 7.4 Radar graphs. 7.5 Scatter plots, matrix and overlay scatter plots. 7.6 Cobweb plots. 7.7 Cobweb plots local sensitivity: dike ring reliability. 7.8 Radar plots for importance internal dosimetry. 7.9 Conclusions. 7.10 Unicorn projects. 7.11 Exercises. 8 Probabilistic Sensitivity Measures. 8.1 Introduction. 8.2 Screening techniques. 8.3 Global sensitivity measures. 8.4 Local sensitivity measures. 8.5 Conclusions. 8.6 Unicorn projects. 8.7 Exercises. 8.8 Supplement . 8.8.1 Proofs. 9 Probabilistic Inversion. 9.1 Introduction. 9.2 Existing algorithms for probabilistic inversion. 9.2.1 Conditional sampling. 9.3 Iterative algorithms. 9.4 Sample re-weighting. 9.5 Applications. 9.6 Convolution constraints with prescribed margins. 9.7 Conclusions. 9.8 Unicorn projects. 9.9 Supplement. 10 Uncertainty and the UN Compensation Commission. 10.1 Introduction. 10.2 Claims based on uncertainty. 10.3 Who pays for uncertainty. Bibliography. Index.
Morphological processing in first and second language reading acquisition

This study examined to what extent young second language (L2) learners showed morphological family size effects in L2 word recognition and whether the effects were grade-level related. Turkish-Dutch bilingual children (L2) and Dutch (L1) children from second, fourth, and sixth grade performed a Dutch lexical decision task on words with varying family sizes. The responses of both L1 and L2 children were more accurate (in second grade) and faster (in fourth and sixth grades) for words with a large family than for words with a small family, even though the L2 children had a smaller vocabulary size in Dutch than the L1 children. These findings show how the spreading of semantic activation across languages can influence word recognition in L2 learners. ∗ This chapter is a slightly adapted version of the following publication: de Zeeuw, M. , Verhoeven, L. , & Schreuder, R. (2012). Morphological family size effects in young first and second language learners: Evidence of cross-language semantic activation in visual word recognition. Language Learning, 62, 68-92. 2
Crossed products of C*-algebras

This book is intended primarily for graduate students who wish to begin research using crossed product C ∗ -algebras. It originated from a course given in the fall of 2000 at Dartmouth College. This is now essentially a final draft, and the final version will appear in the Surveys and Monograph series of the American Mathematical Society. Anyone who wishes may download and print this document. In return, I would be very grateful if you would inform me of any typos you find, corrections you have, or suggestions you think might be useful. Since this is not the final published version, I recommend, as a service to their readers, that anyone refering to this version should use a biblio- graphic entry listing this manuscript as a preliminary version and including the web address http://math.dartmouth. edu/cpcsa/. I will use the web page to provide information on the publication details. Once the book has been published, I will continue to use the above web page to maintain a list of known typographical — and other — errors.
Nonlinear Dynamic Modeling of Physiological Systems

Prologue. 1 Introduction. 1.1 Purpose of this Book. 1.2 Advocated Approach. 1.3 The Problem of System Modeling in Physiology. 1.4 Types of Nonlinear Models of Physiological Systems. 2 Nonparametric Modeling. 2.1 Volterra Models. 2.2 Wiener Models. 2.3 Efficient Volterra Kernel Estimation. 2.4 Analysis of Estimation Errors. 3 Parametric Modeling. 3.1 Basic Parametric Model Forms and Estimation Procedures. 3.2 Volterra Kernels of Nonlinear Differential Equations. 3.3 Discrete-Time Volterra Kernels of NARMAX Models. 3.4 From Volterra Kernel Measurements to Parametric Models. 3.5 Equivalence Between Continuous and Discrete Parametric Models. 4 Modular and Connectionist Modeling. 4.1 Modular Form of Nonparametric Models. 4.2 Connectionist Models. 4.3 The Laguerre-Volterra Network. 4.4 The VWM Model. 5 A Practitioner's Guide. 5.1 Practical Considerations and Experimental Requirements. 5.2 Preliminary Tests and Data Preparation. 5.3 Model Specification and Estimation. 5.4 Model Validation and Interpretation. 5.5 Outline of Step-by-Step Procedure. 6 Selected Applications. 6.1 Neurosensory Systems. 6.2 Cardiovascular System. 6.3 Renal System. 6.4 Metabolic-Endocrine System. 7 Modeling of Multiinput/Multioutput Systems. 7.1 The Two-Input Case. 7.2 Applications of Two-Input Modeling to Physiological Systems. 7.3 The Multiinput Case. 7.4 Spatiotemporal and Spectrotemporal Modeling. 8 Modeling of Neuronal Systems. 8.1 A General Model of Membrane and Synaptic Dynamics. 8.2 Functional Integration in the Single Neuron. 8.3 Neuronal Systems with Point-Process Inputs. 8.4 Modeling of Neuronal Ensembles. 9 Modeling of Nonstationary Systems. 9.1 Quasistationary and Recursive Tracking Methods. 9.2 Kernel Expansion Method. 9.3 Network-Based Methods. 9.4 Applications to Nonstationary Physiological Systems. 10 Modeling of Closed-Loop Systems. 10.1 Autoregressive Form of Closed-Loop Model. 10.2 Network Model Form of Closed-Loop Systems. Appendix I: Function Expansions. Appendix II: Gaussian White Noise. Appendix III: Construction of the Wiener Series. Appendix IV: Stationarity, Ergodicity, and Autocorrelation Functions of Random Processes. References. Index.
Suicide Following Homicide in Canada

Sucide following homicide is fairly rare. Even more rare are studies of this event that use national data. In Canada, where national data are available, homicide offenders commit suicide in about 10% of the cases. Following Henry and Short, we hypothesize that the probability of suicide following homicide increases when the offender has close social ties to the victim and/or to society. We use data on all homicides committed in Canada by male offenders between 1961 and 1983 to explore this issue. Our results show that the closer the tie between the offender and the victim, the higher the probability that the offender will commit suicide. Furthermore, the probability of suicide increases with the offender's age and education, is higher when the offender uses a gun, and is higher when the victim is female.
Testcraft: A Teacher`s Guide to Writing and Using Language Test Specifications

The creation of language tests is, and should be, a craft that is accessible and practical not only by a few language test experts, but also by many others who are involved in second/foreign language education, say the authors of this clear and timely book. Fred Davidson and Brian Lynch offer language educators a how-to guide for creating tests that reliably measure exactly what they are intended to measure. Classroom teachers, language administrators, and professors of language testing courses will find in this book an easy and flexible approach to language testing as well as the tools they need to develop tests appropriate to their individual needs. Davidson and Lynch explain criterion-related language test development, a process that focuses on the early stages of test development when the criterion to be tested is defined, specifications are established, and items and tasks are written. This process helps clarify the description of what is being measured by a test and enables teachers to give input on test design in any instructional setting. Informed by extensive research in criterion-referenced measurement, this book invites all language educators to participate in the craft of test development and shows them how to go about it.
The Cognitive Fit Between the Representation Format of Online Consumer Reviews and the Level of Consumer Involvement

The online consumer review, which is a positive or negative statement created by consumers, is an independent product information resource with growing popularity and importance. To maximize the effect of online consumer reviews, this study proposes two different review formats (list review format vs. matrix review format), and examines which representation format is efficient depending on consumer characteristics (involvement) from the perspective of information processing using the elaboration likelihood model and cognitive fit theory. In addition, this study shows that the effect of the cognitive fit between review format and consumer involvement is moderated by the number of reviews. The findings of this study help us understand the effects of online consumer reviews from the information-processing perspective, and have implications for practitioners on how to manage and deliver online consumer reviews.
Traitement d'images à haute résolution grâce à des techniques d'apprentissage en profondeur. (Processing high-resolution images through deep learning techniques)

La these est largement axee sur les methodes d'apprentissage profond pour la tâche des applications de teledetection. Il s'agit d'elaborer un nouveau modele d'apprentissage en profondeur pour classer les scenes aeriennes et apprendre automatiquement les regions les plus distinctives simplement en utilisant les etiquettes d'image. En plus de cela, les images de Google sont egalement utilisees pour augmenter l'ensemble de donnees, ce qui permet d'apprendre un modele de classification de la scene aerienne faiblement supervise qui est robuste aux etiquettes bruyantes. La prochaine application implique l'elimination des nuages des images de la scene aerienne avec une nouvelle technique de modele general qui emploie l'apprentissage d'un mappage entre le domaine d'entree (images nuees) et le domaine de sortie (images propres). Enfin, nous utilisons egalement un apprentissage approfondi pour resoudre la fusion de plusieurs sources d'images pour la tâche de segmentation de scene aerienne.
Adaptive Control Of Robot Manipulators A Unified Regressor Free Approach

: Adaptive control has been recognized as an effective approach for mechanical robot manipulator controller design due to the presence of nonlinearties and uncertainties in robot dynamic models. Numerous results addressing different aspects of the control problem have been reported in the literature in recent years. The purpose of this paper is to present an indepth review of these .
Learning strategies to improve long term memory of english vocabulary

Este estudio analiza el impacto que las estrategias de aprendizaje tanto de memoria como cognitivas tienen sobre el mejoramiento de la memoria a largo plazo, la retencion y recuperacion de vocabulario en ingles de los estudiantes de tercer nivel de un aula heterogenea del Instituto Universitario de Lenguas de la Universidad de Cuenca. Los participantes fueron 20 estudiantes, de 19 a 32 anos de diferentes carreras de la Universidad de Cuenca, que tomaron un curso intensivo requerido, dictado en tres horas de clase diarias, durante cuatro semanas. La intervencion se integro a las clases regulares de la profesora principal del curso. Los datos se recogieron mediante la utilizacion de tres instrumentos de investigacion, el Inventario de estrategias de aprendizaje del idioma (Strategy Inventory Language Learning - SILL), utilizado para una pre-prueba; una version modificada de la Escala de Conocimiento de Vocabulario (Vocabulary Knowledge Scale -VKS), utilizado para la pre-prueba, post-prueba y una post-prueba retrasada; ademas una encuesta para recabar la opinion de los estudiantes. El estudio mostro que los estudiantes utilizaban estrategias de aprendizaje de vocabulario antes de la intervencion, estas estrategias no fueron aplicadas en la investigacion y no tuvieron relacion alguna con los resultados obtenidos. El impacto que las estrategias de aprendizaje aplicadas tuvieron sobre el mejoramiento de la memoria a largo plazo, retencion y recuperacion de vocabulario en ingles, fue positivo, ya que no hubo diferencias significativas entre los resultados de la post-prueba y la post-prueba retrasada. Los datos cualitativos indicaron que los estudiantes tuvieron una opinion positiva sobre las estrategias, de memoria y cognitivas, utilizadas en el aprendizaje de vocabulario, y que tambien habian empezado a utilizarlas en otras areas de sus estudios y de su vida.
Collocations in a Learner Corpus

Collocations are both pervasive in language and difficult for language learners, even at an advanced level. In this book, these difficulties are for the first time comprehensively investigated. On the basis of a learner corpus, idiosyncratic collocation use by learners is uncovered, the building material of learner collocations examined, and the factors that contribute to the difficulty of certain groups of collocations identified. An extensive discussion of the implications of the results for the foreign language classroom is also presented, and the contentious issue of the relation of corpus linguistic research and language teaching is thus extended to learner corpus analysis.
Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing

Preface. Acknowledgments. About the Authors. Introduction. 1.1 The Case for Cost Optimization. 1.2 Cost Optimization of Concrete Structures. 1.3 Cost Optimization of Steel Structures. 2 Evolutionary Computing and Genetic Algorithm. 2.1 Overview and Basic Operations. 2.2 Coding and Decoding. 2.3 Basic Operations in Genetic Algorithm. 2.4 GA with Penalty Function Method. 2.5 Augmented LaGrange Method. 2.6 GA with Augmented Lagrangian Method. 3 Cost Optimization of Composite Floors. 3.1 Introduction. 3.2 Minimum Cost Design of Composite Beams. 3.3 Solution by Floating-Point Genetic Algorithm. 3.4 Solution by Neural Dynamics Method. 3.5 Counter Propagation Neural (CPN) Network. For Function Approximation. 3.6Examples. 4 Fuzzy Genetic Algorithm for Optimization of Steel Structures. 4.1 Introduction. 4.2 Fuzzy Set Theory and Structural Optimization. 4.3 Minimum Weight Design of Axially Loaded Space Structures. 4.4 Fuzzy Membership Functions. 4.5 Fuzzy Augmented Lagrangian Genetic Algorithm. 4.6 Implementation and Examples. 4.7 Conclusion. 5 Fuzzy Discrete Multi-criteria Cost Optimization of Steel Structures. 5.1 Cost of a Steel Structure. 5.2 Cost of a Steel Structure and the Primary Contributing Factors. 5.3 Fuzzy Discrete Multi-criteria Cost Optimization. 5.4 Membership Functions. 5.5 Fuzzy Membership Functions for Criteria with Unequal Importance. 5.6 Pareto Optimality. 5.7 Selection of Commercially Available Discrete Shapes. 5.8 Implementation and Parametric Study. 5.9 Application to High-rise Steel Structures. 5.10 Concluding Comments. 6 Parallel Computing. 6.1 Multiprocessor Computing Environment. 6.2 Parallel Processing Implementation Environment. 6.3 Performance Optimization of Parallel Programs. 7 Parallel Fuzzy Genetic Algorithm for Cost Optimization of Large Steel Structures. 7.1 Genetic Algorithm and Parallel Processing. 7.2 Cost Optimization of Moment-Resisting Steel Space Structures. 7.3 Data Parallel Fuzzy Genetic Algorithm for Optimization of Steel Structures Using OpenMP. 7.4 Distributed Parallel Fuzzy Genetic Algorithm for Optimization of Steel Structures Using MPI. 7.5 Bi-level Parallel Fuzzy GA for Optimization of Steel Structures Using OpenMP and MPI. 7.6 Application to High-rise Building Steel Structures. 7.7 Parallel Processing Performance Evaluation. 7.8 Concluding Comments. 8. Life Cycle Cost Optimization of Steel Structures. 8.1 Introduction. 8.2 Life Cycle Cost of a Steel Structure and the Primary Contributing Factors. 8.3 Formulation of Total Life Cycle Cost. 8.4 Fuzzy Discrete Multi-criteria Life Cycle Cost Optimization. 8.5 Application to a High-rise Building Steel Structure. Appendix A. Cross-sectional areas, perimeter, and costs in US dollars for different W-shapes used for axially loaded members. Appendix B. Cross-sectional areas, perimeter, and costs in US dollars for different W-shapes used for laterally loaded members. References. Index.