Miracle-dz/UniFAR-FTUs huggingface dataset:
The VIRMOS deep imaging survey: II: CFH12K BVRI optical data for the 0226-04 deep field

In this paper we describe in detail the reduction, preparation and reliability of the photometric catalogues which comprise the CFH12K-VIRMOS deep field. This region, consisting of four contiguous pointings of the CFH12K wide-field mosaic camera, covers a total area of 1: 2d eg 2 . The survey reaches a limiting magnitude of BAB 26:5, VAB 26:2, RAB 25:9 and IAB 25:0 (corresponding to the point at which our recovery rate for simulated point-like sources sources falls below 50%). In total the survey contains 90 729 extended sources in the magnitude range 18:0< IAB< 24:0. We demonstrate our catalogues are free from systematic biases and are complete and reliable down these limits. By comparing our galaxy number counts to previous wide-field CCD surveys, we estimate that the upper limit on bin-to-bin systematic photometric errors for the I lim- ited sample is10% in this magnitude range. We estimate that 68% of the catalogues sources have absolute per co-ordinate astrometric uncertainties less than j j0:38 00 andj j0:32 00 . Our internal (filter-to-filter) per co-ordinate astrometric uncertainties arej j0:08 00 andj j0:08 00 . We quantify the completeness of our survey in the joint space defined by object total magnitude and peak surface brightness. We also demonstrate that no significant positional incompleteness eects are present in our catalogues to IAB< 24:0. Finally, we present numerous comparisons between our catalogues and published literature data: galaxy and star counts, galaxy and stellar colours, and the clustering of both point-like and extended populations. In all cases our measurements are in excellent agreement with literature data to IAB< 24:0. This combination of depth and areal coverage makes this multi-colour catalogue a solid foundation to select galaxies for follow-up spectroscopy with VIMOS on the ESO-VLT and a unique database to study the formation and evolution of the faint galaxy population to z 1 and beyond.
Model-Based Framework for

ImplementingEnterpriseResourcePlanning�(ERP)�systemsisacomplex,�lengthyandexpensiveprocesswhich� usuallyfacesseriouschallengesandfailures. �Thus,�itisnecessarytoperformareadinessassessmentatthe� initialstageofanERPimplementationprojecttoidentifyweaknessareaswhichmayencountertheproject� withfailure. �Thispaperproposesanewframeworkforassessingreadinessofanorganizationtoimplement� theERPprojectonthebasisofMcKinsey�7Smodelusingconfirmatoryfactoranalysis. �Throughthismethod,� theconstructofERPreadinessisproposedbasedon�7�dimensionsnamely�"structure",�"strategy",�"systems",� "skills",�"style/culture",�"staff",�and�"sharedvalues/�superordinategoals". �Usingtheframework,�thecur- rentsituationoftheorganizationcanbedeterminedandnecessarychangescanbemadepriortosystem� implementation. �Theproposedframeworkisthenappliedto�2�realIranianbankingcasesandtheadvantages� oftheframeworkoveravailableframeworksareillustrated.
A Regularized Contrast Statistic for Object Boundary Estimation-Implementation and Statistical Evaluation

We propose an optimization approach to the estimation of a simple closed curve describing the boundary of an object represented in an image. The problem arises in a variety of applications, such as template matching schemes for medical image registration. A regularized optimization formulation with an objective function that measures the normalized image contrast between the inside and outside of a boundary is proposed. Numerical methods are developed to implement the approach, and a set of simulation studies are carried out to quantify statistical performance characteristics. One set of simulations models emission computed tomography (ECT) images; a second set considers images with a locally coherent noise pattern. In both cases, the error characteristics are found to be quite encouraging. The approach is highly automated, which offers some practical advantages over currently used technologies in the medical imaging field. >
The Abundance of Low-Luminosity Lyα Emitters at High Redshift

We derive the luminosity function of high-redshift Lyα-emitting sources from a deep, blind, spectroscopic survey that utilized strong-lensing magnification by intermediate-redshift clusters of galaxies. We observed carefully selected regions near nine clusters, consistent with magnification factors generally greater than 10 for the redshift range 4.5 < z < 6.7. Eleven emission-line candidates were located in the range 2.2 < z < 5.6 whose identification we justify as Lyα, in most cases via further spectroscopic observations. The selection function we constructed for our survey takes into account our varying intrinsic Lyα line sensitivity as a function of wavelength and sky position. By virtue of the strong magnification factor, we provide constraints on the Lyα luminosity function to unprecedented limits of 1040 ergs s -1, corresponding to a star formation rate of 0.01 M☉ yr-1. Our cumulative z ≃ 5 Lyα luminosity function is consistent with a power-law form n(>L) ∝ L-1 over 1041-1042.5 ergs s-1. When combined with the results of other surveys, limited at higher luminosities, our results suggest evidence for the suppression of star formation in low-mass halos, as predicted in popular models of galaxy formation.
Compreensão da leitura textual e sua relação com as funções executivas

A leitura e uma atividade complexa que envolve diversos processos, tais como identificacao de letras, reconhecimento de palavras, acesso ao significado, integracao sintatica e semântica. A identificacao/reconhecimento de palavras apesar de necessaria para compreender um texto nao e suficiente. Neste artigo o foco sera a relacao entre compreensao textual e as funcoes executivas. Sao abordados brevemente alguns dos principais modelos e alguns instrumentos de avaliacao de compreensao de leitura textual. Em seguida, e apresentado o conceito, componentes e principais instrumentos de avaliacao das funcoes executivas. Por ultimo, apresentamos uma sintese reflexiva sobre estudos recentes que investigam as relacoes entre funcoes executivas e compreensao de texto. Tanto em estudos nacionais, quanto internacionais estas relacoes tem sido evidenciadas, assim como os efeitos positivos de programas para a promocao do desenvolvimento das funcoes executivas, desde a educacao infantil, as quais podem contribuir posteriormente tambem para auxiliar na compreensao de textos.
Immersion, Narrative, and Replayability as the Motivational and Attractiveness Factors in Serious Games

Serious games, electronic games whose purpose is work educational elements, often do not reach this goal because by being included the content and teaching strategies, the fun’s dimension and motivation to interact are reduced. In this sense, this chapter presents a proposal for the use of immersion, narrative, and replayability as devices to make serious games more attractive to the student in general. These three elements are explored theoretically and then analyzed and aligned with proposals for instructional design and learning theories. As a result, a development proposal for Serious Game Development Document (SGDD) and a rubric for evaluation of use are presented. With this, it is expected to contribute and assist not only with development, but also with in the analysis of serious games.
Comparison of Ocean Surface Winds From ENVISAT ASAR, MetOp ASCAT Scatterometer, Buoy Measurements, and NOGAPS Model

In this paper, we perform a comparison of wind speed measurements from the ENVISAT Advanced Synthetic Aperture Radar (ASAR), the MetOp-A Advanced Scatterometer (ASCAT), the U.S. National Data Buoy Center's moored buoys, and the U.S. Navy Operational Global Atmospheric Prediction System (NOGAPS) model. These comparisons were made in near U.S. coast regions over a 17-month period from March 2009 to July 2010. The ASAR wind speed retrieval agreed well with the scatterometer and model estimates, with mean differences ranging from -0.69 to 0.85 m/s and standard deviations between 1.16 and 1.77 m/s, depending upon the ASAR beam mode type. The results indicate that ASAR-derived ocean surface wind speeds are as accurate as the ASCAT and NOGAPS wind products. Comparisons between ASCAT winds and synthetic aperture radar (SAR) winds averaged at different spatial resolutions show very little change. This demonstrates that it is suitable that the scatterometer wind retrieval geophysical model function, i.e., CMOD5, is used for SAR wind retrieval. The impact of C-band VV polarization SAR calibration error on wind retrieval is also discussed.
Literature Extraction of Protein Functions Using Sentence Pattern Mining

With the rapid growth of articles of genomics research, it has become a challenge for biomedical researchers to access this ever-increasing quantity of information to understand the newest discovery of functions of proteins they are studying. To facilitate functional annotation of proteins by utilizing the huge amounts of biomedical literature and transforming the knowledge into easily accessible database formats, the text mining technique thus becomes essential. In this paper, we propose the method of sentence pattern mining to extract protein functions from biomedical literature. To recognize variants of function terms correctly, we identify morphological, syntactic, and semantic variation forms. The proposed methods can be used to aid database curators in annotating protein functions and to assist biologists and medical researchers in searching protein functions from biomedical literature.
Entity-relationship modeling: one style suits all?

In the business environment data modeling diagrams are used as a user communication tool during Data Analysis, as a Database Design tool, as part of Systems Documentation and, increasingly, as a base for automatic generation of data definition language statements by CASE software.In this paper it is argued that the first two uses have conflicting requirements and that there is a need for a separate, more appropriate, nomenclature and notation for user communication than that which is currently in use.A modified form of Chen's approach is considered and rejected in favour of a Resource-Activity diagram.The conversion of this to an Entity diagram, and thence to Relational form is briefly discussed.Implications for the design of CASE tools and the adoption of a CASE standard are considered.
Public key cryptography-based security scheme for wireless sensor networks in healthcare

The application of wireless sensor networks (WSNs) in healthcare is one of the most important and rapidly growing areas. One of the most critical security concerns is patients' privacy. Since patients are monitored all the time, authentication of who can access the information, and what information one is authorized to access are indispensable to maintain privacy. In healthcare environments, authentication and access control face a big challenge due to dynamic network topology, mobility, and stringent resource constraints. In this paper, we propose a secure, scalable, and energy-efficient security scheme called Mutual Authentication and Access Control scheme based on Elliptic Curve Cryptography (MAACE). MAACE provides mutual authentication where a healthcare professional can authenticate to an accessed node (a PDA or medical sensor) and vice versa. This is to ensure that medical data is not exposed to an unauthorized person. On the other hand, it ensures that medical data sent to healthcare professionals did not originate from a malicious node. By applying elliptic curve cryptography (ECC), MAACE provides a public key approach which is more scalable and requires less memory compared to symmetric key-based schemes. Furthermore, it is practically feasible to implement it on sensor platforms. Security analysis and performance evaluation results are presented and compared to existing schemes to show advantages of the proposed scheme.
Genetic algorithm for clustering, finding the number of clusters

In this paper a genetic algorithm for clustering is proposed. The algorithm is based on the variable length chromosomes and the notion of local points density in the clustered set. Its role is to identify the number of clusters in the clustered set and to partition this set into particular clusters. The tests were conducted for two different sets of two dimensional data. The algorithm performed well in both cases. The tests presented the ability of the algorithm to partition the subsets combined with the thin dense area into separate clusters.
Family involvement in top management team: Impact on relationships between internal social capital and innovation

Abstract Research on innovation in family firms has been increasing recently; however, the results are mixed, especially for non-listed firms. Based on internal social capital, we explore whether the relational antecedents of innovation are contingent on family involvement in management. Using a sample of 172 Spanish family small and medium-sized enterprises – an organisational form with prominent social and emotional factors – we test a structural model that examines the influence exerted by family involvement in the top management team on the relationships between innovation and internal social capital – in the form of family social capital and non-family social capital (family group and non-family group, respectively). The empirical findings obtained using the partial least squares technique show the importance of family involvement in management in such relationships in family firms. Family involvement in management was found to have negative effects in the relationship between internal social capital and innovation.
WebParts: Sharing and Reuse Component Resource in Networked Design

In this paper, a Web-based parts library management system - webParts is studied. WebParts allows engineers and designers to search for component information semantically and construct digital product design chain according to the information. WebParts is built based on PLIB standard (ISO13584) and "tabular layouts of article characteristics technology" (GB/T10091). According to the PLIB standard, a dual description method (semantic description and logical expression level) is used to express component information. The data dictionary (ISO13584-42) is used to description component information at semantic level. Because the typical structure and function feature are not described explicitly in component data dictionary (PLIB ontology), a semantic feature description dictionary (ontology) is added in the data dictionary. At logical description level, a tabular layouts of article characteristics is extracted from PLIB dictionary (especially the part characteristic) according to some rules. At last, three kinds of part search method provided by webParts are introduced
USER PARTICIPATION PRACTICE : TO OVERCOME THE OBJECTIVE-SUBJECTIVE DICHOTOMY

This paper describes the Structure-Agency Model of User Participation Practice, which incorporates objective and subjective elements of user participation and is inspired by Orlikowski’s Structurational Model of Technology. The research question concerns how the objective-subjective dichotomy can be overcome in user participation research. To test the model, nine in-depth open interviews were conducted with the project manager, key-users and developers. All respondents were employed by a large Dutch administrative organisation that had customised and implemented a new and integrative BPM system. The results show that the use of the Structure-Agency Model of User Participation Practice makes it possible to give an objective representation of the practice of user participation, and also how this representation was experienced and adjusted by the different stakeholders. The paper concludes with recommendations for a more comprehensive research approach; new research perspectives and genres to overcome the objective-subjective dichotomy.
Sensor fusion for antipersonnel landmine detection: a case study

In this paper the multi sensor fusion results obtained within the European research project GEODE are presented. The layout of the test lane and the individual sensors used are described. The implementation of the SCOOP algorithm improves the ROC curves, as the false alarm surface and the number of false alarms both are taken into account. The confidence grids, as produced by the sensor manufacturers, of the sensors are used as input for the different sensor fusion methods implemented. The multisensor fusion methods implemented are Bayes, Dempster-Shafer, fuzzy probabilities and rules. The mapping of the confidence grids to the input parameters for fusion methods is an important step. Due to limited amount of the available data the entire test lane is used for training and evaluation. All four sensor fusion methods provide better detection results than the individual sensors.
Linking depression : longitudinal and neuroimaging genetic studies in major depressive disorder

Depressie is een veel voorkomende ziekte met een hoge ziektelast. Om een depressie goed te kunnen behandelen, is het van belang om te begrijpen hoe deze stoornis ontstaat. Het ontstaan van een depressie is gerelateerd aan veel verschillende factoren, waaronder erfelijkheid en omgevingsinvloeden. Met dit proefschrift is geprobeerd verder helderheid te krijgen in de onderliggende neurobiologische en genetische mechanismen van depressie. Dit proefschrift laat zien dat een depressieve stoornis wordt gekenmerkt door een patroon van verhoogde limbische activiteit en verlaagde prefrontale activiteit tijdens het verwerken van negatief emotioneel geladen stimuli. Een omgekeerd patroon is te zien tijdens het verwerken van positief emotioneel geladen stimuli. Directe relaties tussen specifieke genen en depressie hebben tot nu toe niet geleid tot aanwijzingen voor een duidelijke genetische link. De studies in dit proefschrift geven echter aanwijzingen dat relaties tussen genen en hersenactiviteit sterker zijn dan relaties tussen genotypen en een depressieve stoornis. Er zijn ook genen die de hersenactiviteit beinvloeden die vergelijkbaar is met het patroon wat bij patienten met een depressieve stoornis is gevonden. Verder dragen de studies in dit proefschrift bij aan het huidige onderzoeksveld van de neuroimaging genetics, omdat deze als een van de eersten aantonen dat de aanwezigheid van een depressieve stoornis de relatie tussen gen en hersenactiviteit beinvloedt.
Large Data Management for Interactive Visualization Design

We first distinguish the problem of big data collectionsfrom that ofbig data objects . Big data collections are aggregates of many data sets. These are not the focus of the current notes, but the issues in big data collections are summarized for completeness. Big data objects are just that – single data objects that are too large to be processed by standard algorithms and software on the hardware one has available. Big data objects may comprise multiple individual files – the collection may be referred to as a dataset. However, if all of the files or pieces of a data set are intimately related, and analyzed together (e.g. the individual files of a time series) then we refer to the set of files as a single data object. There is a growing literature on techniques to handle big data objects (though not all authors have thought of their techniques as being relevant for “big data”). To understand what techniques can be used and when, we discuss some differences among big data applications. We then discuss the varying architectures that have been and might be applied to manage big data objects for analysis and visualization. We then proceed to a taxonomy of the techniques possible to manage big data, and discuss each of these in turn.
Gastrointestinal Bacterial Transmission among Humans, Mountain Gorillas, and Livestock in Bwindi Impenetrable National Park, Uganda

Abstract: Habitat overlap can increase the risks of anthroponotic and zoonotic pathogen transmission between humans, livestock, and wild apes. We collected Escherichia coli bacteria from humans, livestock, and mountain gorillas (Gorilla gorilla beringei) in Bwindi Impenetrable National Park, Uganda, from May to August 2005 to examine whether habitat overlap influences rates and patterns of pathogen transmission between humans and apes and whether livestock might facilitate transmission. We genotyped 496 E. coli isolates with repetitive extragenic palindromic polymerase chain reaction fingerprinting and measured susceptibility to 11 antibiotics with the disc‐diffusion method. We conducted population genetic analyses to examine genetic differences among populations of bacteria from different hosts and locations. Gorilla populations that overlapped in their use of habitat at high rates with people and livestock harbored E. coli that were genetically similar to E. coli from those people and livestock, whereas E. coli from gorillas that did not overlap in their use of habitats with people and livestock were more distantly related to human or livestock bacteria. Thirty‐five percent of isolates from humans, 27% of isolates from livestock, and 17% of isolates from gorillas were clinically resistant to at least one antibiotic used by local people, and the proportion of individual gorillas harboring resistant isolates declined across populations in proportion to decreasing degrees of habitat overlap with humans. These patterns of genetic similarity and antibiotic resistance among E. coli from populations of apes, humans, and livestock indicate that habitat overlap between species affects the dynamics of gastrointestinal bacterial transmission, perhaps through domestic animal intermediates and the physical environment. Limiting such transmission would benefit human and domestic animal health and ape conservation.
Citizens without property: Informality and political agency in a Seattle, Washington homeless encampment

Often referred to as “tent cities”, tent encampments have, in the last 10 years, proliferated within and around US cities on a scale unprecedented since the Great Depression. Accounts of these informal dwellings tend to focus on the symbolism of the camp, the function of the camp as safe zone, or the camp as a site of apolitical or prepolitical identity formation. This article attempts to broaden and deepen the conversation on informal dwellings in the US by focusing on the tent encampment as a site of creative political agency and experimentation. Drawing upon a body of work referred to by some as “subaltern urbanism”, I examine how everyday practices of camp management produce localized forms of citizenship and governmentality through which “homeless” residents resist stereotypes of pathology and dependence, reclaim their rational autonomy, and recast deviance as negotiable difference in the production of governmental knowledge. Consideration of these practices, I argue, opens up the possibility of a of a view of encampments that foregrounds the agency of the homeless in the production of new political spaces and subjectivities.