Miracle-dz/UniFAR-FTUs huggingface dataset:
Where on-line meets on the streets: experiences with mobile mixed reality games

We describe two games in which online participants collaborated with mobile participants on the city streets. In the first, the players were online and professional performers were on the streets. The second reversed this relationship. Analysis of these experiences yields new insights into the nature of context. We show how context is more socially than technically constructed. We show how players exploited (and resolved conflicts between) multiple indications of context including GPS, GPS error, audio talk, ambient audio, timing, local knowledge and trust. We recommend not overly relying on GPS, extensively using audio, and extending interfaces to represent GPS error.
Approximation of a batch consolidation problem

In batch production systems, multiple items can be processed in the same batch if they share sufficiently similar production parameters. We consider the batch consolidation problem of minimizing the number of batches of a finite set of items. This article focuses on the case in which only one or two items can be processed in a single batch. The problem is NP ‐hard and cannot be approximated within 1.0021 of the optimum under the premise, P≠NP. However, the problem admits a ${{3}\over{2}}$ ‐approximation. The idea is to decompose the demands of items so that a maximum matching in the graph on the vertices of the decomposed demands provides a well‐consolidated batch set. © 2010 Wiley Periodicals, Inc. NETWORKS, Vol. 58(1), 12–19 2011
On the tails of assets returns ∗

This article introduces a new measure of non-normality for the distribution of asset returns through the coefficient of variation. Moreover, we give a unified model, invariant for scale parameters, that provides representative distributions for each value of the coefficient of variation, then the model is able to fit the variation of the tail behavior over time. The new distributions are introduced from the spreads between bid and ask orders, using the idea of selective samples. Empirical evidence also show the usefuness of the model.
Measuring the ecological significance of microscale nutrient patches

parative rapid ammonium uptake by four species of marine phytoplankton. Limnol. Oceanogr. 27: 814-827. -, J. J. MCCARTHY, AND D. G. PEAVEY. 1979. Growth rate influence on the chemical composition of phytoplankton in oceanic waters. Nature 279: 210-215. HEALEY, F. P. 1980. Slope of the Monod equation as an indicator of advantage in nutrient competition. Microb. Ecol. 5: 281-286. HUTCHINSON, G. E. 1967. A treatise on limnology, v. 2. Wiley. JACKSON, G. A. 1980. Phytoplankton growth and zooplankton grazing in oligotrophic oceans. Nature 284: 439-44 1. JOHANNES, R. E. 1964. Uptake and release of dissolved organic phosphorus by representatives of a coastal marine ecosystem. Limnol. Oceanogr. 9: 224-234. LEHMAN, J. T. 1976. Ecological and nutritional studies on Dinobryon Ehrenb. : Seasonal periodicity and the phosphate toxicity problem. Limnol. Oceanogr. 21: 646-658. -. 1980. Release and cycling of nutrients between planktonic algae and herbivores. Limnol. Oceanogr. 25: 620-632. AND D. SCAVIA. 1982a. Microscale patchiness of ‘nutrients in plankton communities. Science 216: 729-730. -, AND -. 1982b. Microscale nutrient patches produced by zooplankton. Proc. Natl. Acad. Sci. USA 79: 5001-5005. LEVINE, S. N. , AND D. W. SCHINDLER. 1980. Radiochemical analysis of orthophosphate concentrations and seasonal changes in the flux of orthophosphate to seston in two Canadian Shield lakes. Can. J. Fish. Aquat. Sci. 37: 479-487. PATALAS, K. 197 1. Crustacean plankton communities in forty-five lakes in the Experimental Lakes Area, northwestern Ontario. J. Fish. Res. Bd. Can. 28: 231-244. PETERS, R. H. 1979. Concentrations and kinetics of phosphorus fractions along the trophic gradient of Lake Memphremagog. J. Fish. Res. Bd. Can. 36: 970-979. -, AND F. H. RIGLER. 1973. Phosphorus release by Daphnia. Limnol. Oceanogr. 18: 821-839. RIGLER, F. H. 1964. The phosphorus fractions and turnover times of inorganic phosphorus in different types of lakes. Limnol. Oceanogr. 9: 5 1 l-5 18. SMITH, R. E. , AND J. KALFF. 1982. Size-dependent phosphorus uptake kinetics and cell quota in phytoplankton. J. Phycol. 18: 275-284. TURPIN, D. H. , J. S. PARSLOW, AND P. J. HARRISON. 198 1. On limiting nutrient patchiness and phytoplankton growth: A conceptual approach. J. Plankton Res. 3: 42 l-43 1. WILLIAMS, P. J., AND L. R. MUIR. 198 1. Diffusion as a constraint on the biological importance of microzones in the sea, p. 209-2 18. Zn Ecohydrodynamics. Elsevier Ocean Sci. Ser. 5(32).
PRESCHOOL TEACHERS’ VIEWS TOWARD HOME VISITS IN THE ACTIVITY OF FAMILY PARTICIPATION WITHIN THE PRESCHOOL CURRICULUM

The aim of this study is to determine preschool teachers’ views on home visits. The study used a semi-structured interview to collect data. The form was developed by the researcher and it consists of two sections: a demographic information section and the views on home visits of preschool teachers’ section. Thirty preschool teachers participated in this study. The results of the research suggested that the pre-school teachers thought that they needed to make home visits to children with problems, to get information about the child’s home environment, to get to know the child, and to learn about their family relations. Article visualizations:
Single Image Object Modeling Based on BRDF and r-Surfaces Learning

A methodology for 3D surface modeling from a single image is proposed. The principal novelty is concave and specular surface modeling without any externally imposed prior. The main idea of the method is to use BRDFs and generated rendered surfaces, to transfer the normal field, computed for the generated samples, to the unknown surface. The transferred information is adequate to blow and sculpt the segmented image mask in to a bas-relief of the object. The object surface is further refined basing on a photo-consistency formulation that relates for error minimization the original image and the modeled object.
AN OVERVIEW OF WAVELET TRANSFORMS APPLICATION IN POWER SYSTEMS

Wavelet transform has received great attention in power community in the last years, because are better suited for the analysis of certain types of transient waveforms than the other transforms approach. This paper presents a descriptive overview of the wavelet transform applications in power systems. The main publications carried out in this field have been analyzed and classified by areas. A list of 116 references is also provided.
Object proposal method based on integration of geometrical features

The goal of region proposal approaches is to decrease the hunting zone for classifiers. An innovative objectness measure that combines several characteristics of proposals in a Bayesian framework is explicitly presented in this paper. We try to use Bayesian to respectively integrate four different features of proposals, and employ the posterior probability of positive samples as new score to guide the search for vehicles. In experiments on the challenging KITTI dataset, the result shows that the combined three features of them can perform better than any others. The final result reaches 98% recall for overlap threshold of 0.5 using 1000 object candidates, which outperforms most existed region proposal algorithms.
The Long-Term Resetting of a Brainstem Pacemaker Nucleus by Synaptic Input: A Model for Sensorimotor Adaptation

The cellular mechanisms behind sensorimotor adaptations, such as the adaptation to a sustained change in visual inputs by prism goggles in humans, are not known. Here we present a novel example of long-term sensorimotor adaptation in a well known neuroethological model, the jamming-avoidance response of a weakly electric fish. The adaptation is relatively long lasting, up to 9 hr in vivo, and is likely to be mediated by NMDA receptors. We demonstrate in a brain slice preparation that the pacemaker nucleus is the locus of adaptation and that it responds to long-lasting synaptic stimulation with an increase in the postsynaptic spike frequency persisting for hours after stimulus termination. The mechanism for the neuronal memory behaves as an integrator, and memory duration and strength are quantitatively related to the estimated amount of synaptic stimulation. This finding is contrary to the idea that neurons respond solely to long-lasting synaptic input by turning down their intrinsic excitability. We show that this positive feedback at the cellular level actually contributes to a negative feedback loop at the organismic level if the entire neural circuit and the behavioral link are considered.
Document Relevance Identifying and its Effect in Query-Focused Text Summarization

There is an important issue that text summarization has to embody personal information need and provide indicative message to user. In this paper, a method of acquiring relevant documents based on user-feedback information and transductive inference SVM machine learning is presented. This method can well avoid the subjectivity of deciding relevant documents empirically. Furthermore, a sentence selection strategy through extracting keywords is proposed. It calculated the word’s query related feature through word co-occurrence window, and obtained the topic related feature through likelihood ratio, then combined the two features to extract some keywords and score the candidate sentences. The experimental result shows that the proposed methods can capture the main idea of the document set and satisfy the query demand effectively.
Wavelet Transform Enhancement for Drowsiness Classification in EEG Records Using Energy Coefficient Distribution and Neural Network

—Reliable classification of drowsy stage in EEG signals have attracted attentions from researchers for many years because of large amounts of brain signal noise. Recent studies have demonstrated that the analysis of EEG signals can get benefits from wavelet transform (WT). Despite of this, experiments do not support the effective use of wavelet features for the discrimination of EEG signals because there is much redundant and irrelevant information contained in wavelet coefficients. Furthermore, extraction of useful features from EEG signals for classification is still an open research question. The novel method present in this paper is to extract useful features for classification of EEG signals based on wavelet transform. This method basically consists of two major steps. The first step is extracting energy coefficients from wavelet transform based on Parseval's theorem to represent the distribution of brain signals. The second step focuses on revising weights of energy coefficients to facilitate a classification method. We show that the energy-based features not only capture meaningful information of wavelet transform, but also are useful for classification. We evaluate the proposed method by using the energy-based features to train a neural network for classification of drowsy and alert signals in EEG records. The experimental results conducted on the MIT-BIH Polysomnographic database have shown that the proposed method achieves 90.27% of accuracy compared to wavelet-based methods.
More is Sometimes Less: Succinctness in EL

In logics, there are many ways to represent same facts. With respect to both reasoning and cognitive complexity, some representations are significantly less efficient than others. In this paper, we investigate different means of improving the succinctness of TBoxes expressed in the lightweight description logic EL that forms a basis of some large ontologies used in practice. As a measure of size, we consider the number of references to signature elements. We investigate the problem of finding minimal equivalent representations and show that this task is NP-complete. A significant (up to triple-exponential) further improvement can be achieved by the introduction of auxiliary concept symbols. Thus, we additionally investigate the task of finding minimal representations for an ontology by extending its signature. Since arbitrary extension of the ontology with concept symbols can make the ontology unreadable, we only allow for auxiliary concepts acting as shortcuts for other concepts (EL concepts and disjunctions thereof) expressed by means of terms of the original ontology. We show that this task is also NP-complete if shortcuts represent only EL concepts, and between NP and Σ 2 , otherwise.
Natural gradient learning neural networks for modeling and identification of nonlinear systems with memory

This paper applies natural gradient (NG) learning neural networks (NNs) for modeling and identification of nonlinear systems with memory. The nonlinear system is comprised of a discrete-time linear filter H followed by a zero-memory nonlinearity g(.). The neural network model is composed of a linear adaptive filter Q and a two-layer nonlinear neural network (NN). It is shown that the NG learning method outperforms the ordinary gradient descent method in terms of convergence speed and mean squared error (MSE) performance.
Using emotional Stroop task as an auxiliary tool in diagnosis of paedophilia

This work concerns an issue of using results of emotional Stroop task as an indicator facilitating diagnosis of sexual preferences of paedophilia type. Publications whose authors, basing on indicators created on the basis of emotional Stroop task tried to select persons manifesting sexual interest in children, are discussed here. Further one presents results of own research using Stroop task, conducted on 26 years old man manifesting non-exclusive paedophilic disorder. On the basis of the used procedure one obtained results which can be interpreted as concordant with a diagnosis of non-exclusive paedophilia.
Lung cancer exosomes as drivers of epithelial mesenchymal transition

Exosomes, a subgroup of extracellular vesicles (EVs), have been shown to serve as a conduit for the exchange of genetic information between cells. Exosomes are released from all types of cells but in abundance from cancer cells. The contents of exosomes consist of proteins and genetic material (mRNA, DNA and miRNA) from the cell of origin. In this study, we examined the effects of exosomes derived from human lung cancer serum and both highly metastatic and non-metastatic cells on recipient human bronchial epithelial cells (HBECs). We found that exosomes derived from highly metastatic lung cancer cells and human late stage lung cancer serum induced vimentin expression, and epithelial to mesenchymal transition (EMT) in HBECs. Exosomes derived from highly metastatic cancer cells as well as late stage lung cancer serum induce migration, invasion and proliferation in non-cancerous recipient cells. Our results suggest that cancer derived exosomes could be a potential mediator of EMT in the recipient cells.
A Method For Discovering Values in Digital Games

In this paper, our research team demonstrates how groups of game designers can open the discussion on human principles in game design by using a tool we call “Values Cards. ” Drawing on prior play experiences, participants identify examples of games or game segments that express the value represented on one of the values cards. This sparks deep analysis of how values are expressed through particular game mechanics and representational elements. The analysis can be posted to a collective wiki and shared amongst other designers who are interested in examining game mechanics and representational elements from a values perspective. These exercises can be considered first steps in a broader attempt to produce and implement a systematic methodology to better integrate human principles into the design process.
Computing EM-based Alignments of Routes and Route Directions as a Basis for Natural Language Generation

Route directions are natural language (NL) statements that specify, for a given navigational task and an automatically computed route representation, a sequence of actions to be followed by the user to reach his or her goal. A corpus-based approach to generate route directions involves (i) the selection of elements along the route that need to be mentioned, and (ii) the induction of a mapping from route elements to linguistic structures that can be used as a basis for NL generation. This paper presents an Expectation-Maximization (EM) based algorithm that aligns geographical route representations with semantically annotated NL directions, as a basis for the above tasks. We formulate one basic and two extended models, the latter capturing special properties of the route direction task. Although our current data set is small, both extended models achieve better results than the simple model and a random baseline. The best results are achieved by a combination of both extensions, which outperform the random baseline and the simple model by more than an order of magnitude.
Toward Benchmarks for Tertiary Care for Adults with Severe and Persistent Mental Disorders

Background: Scarce attention has been paid to establishing benchmarks for tertiary care for adults with severe mental disorders. Yet, the availability and efficient utilization of residential resources partly determines the capacity of a comprehensive system of care to avoid clogging ever-shrinking acute care bed facilities. Objectives: To describe the actual utilization of and projected needs for residential resources, one part of tertiary care, in the catchment area of a psychiatric hospital in east-end Montreal. To compare results obtained against actual utilization and projected needs evaluated in other Canadian provinces and in other countries, with a view to establishing national benchmarks. Methods: Two surveys were undertaken to establish the number of places in these facilities that were utilized and needed for adults aged 18 to 65 years with severe mental disorders, without a primary diagnosis of mental retardation or organic brain syndrome, and originally from the catchment area. A first survey ascertained the number of places utilized and of those needed for residential care among all long-stay inpatients and all adults in supervised residential facilities. A second survey identified the need for such long-stay hospitalization, nursing homes, and supervised facilities as an alternative or as a complement to hospitalization among acute care inpatients. Results: The actual ratio of places in long-stay hospital units, nursing homes, and supervised residential facilities was 150:100 000 inhabitants. The ideal ratio, according to estimated needs, is 171:100 000. The figure breakdown is as follows: 20:100 000 for long-stay hospital units, 20:100 000 for nursing homes, 40:100 000 for group homes, 40:100 000 for private hostels or foster families, and 51:100 000 for supervised apartments. The needs of this urban, blue-collar population for supervised residential places hovered in the upper range of utilization and standards for European countries and within the proposed standards for Canadian provinces. Discussion: Needs for long-stay hospitalization or for supervised residential facilities cannot be treated as absolute. For example, evaluation conducted in this hospital-led system of psychiatric care may produce higher estimates of institutional care. Comparing actual utilization and projected needs in this urban catchment area with current utilization in other jurisdictions in Canada and Europe should contribute to establishing sound national benchmarks within ranges. Conclusions: It is possible to establish benchmarks that guide the development of supervised residential settings to best meet the needs of the population of adults with severe and persistent mental disorders. The methods used here to assess needs should serve as guidelines for future research, because they were designed to contain the bias of over- or underprovision of care in the current utilization.
The Fourier Algebra for Locally Compact Groupoids

Abstract We introduce and investigate using Hilbert modules the properties of the Fourier algebra $A(G)$ for a locally compact groupoid $G$ . We establish a duality theorem for such groupoids in terms of multiplicative module maps. This includes as a special case the classical duality theorem for locally compact groups proved by P. Eymard.
A transform approach to compute prices and Greeks of barrier options driven by a class of Lévy processes

In this paper we propose a transform method to compute the prices and Greeks of barrier options driven by a class of Lévy processes. We derive analytical expressions for the Laplace transforms in time of the prices and sensitivities of single barrier options in an exponential Lévy model with hyper-exponential jumps. Inversion of these single Laplace transforms yields rapid, accurate results. These results are employed to construct an approximation of the prices and sensitivities of barrier options in exponential generalized hyper-exponential Lévy models. The latter class includes many of the Lévy models employed in quantitative finance such as the variance gamma (VG), KoBoL, generalized hyperbolic, and the normal inverse Gaussian (NIG) models. Convergence of the approximating prices and sensitivities is proved. To provide a numerical illustration, this transform approach is compared with Monte Carlo simulation in cases where the driving process is a VG and a NIG Lévy process. Parameters are calibrated to Stoxx50E call options.
Design of Compact Wideband Manifold-Coupled Multiplexers

The design of manifold-coupled multiplexers for wideband applications is considered in this paper. A systematic procedure, based on the sequential connection of filters to the manifold and subsequent adjustment of the interconnection elements, is presented. The filters are attached to the manifold without using stubs in order to minimize the effect of spurious resonances. The interconnection elements, the manifold, and the remaining filters are considered as the first inverter of each new filter that is attached. This technique has been applied to several practical examples. The obtained results validate the proposed design methodology.
Time-Based Frameworks for Valuing Knowledge: Maintaining Strategic Knowledge

To survive and flourish in a changing and unpredictable world, organizations and people must maintain strategic power over necessary resources - often in the face of competition. Knowledge contributes to that strategic power. Without vigilance to maintain its currency and accuracy, the value of knowledge depreciates as circumstances change over time. Karl Popper's evolutionary epistemology and Maturana and Varela's concept of autopoiesis provide a paradigmatic framework for considering the roles and importance of time in constructing knowledge and using it to maintain strategic power. Following Popper, knowledge is constructed, used and evaluated via cyclically-iterated processes. We introduce nine time-based frames of reference based in this Popperian autopoietic paradigm to explore the relationships between time and a utility-based valuation of knowledge as it is constructed and applied. We believe this framework and associated paradigmatically consistent vocabulary provide useful tools for analyzing organizational knowledge management needs.