Miracle-dz/UniFAR-FTUs huggingface dataset:
Multimodal visual dictionary learning via heterogeneous latent semantic sparse coding

Visual dictionary learning as a crucial task of image representation has gained increasing attention. Specifically, sparse coding is widely used due to its intrinsic advantage. In this paper, we propose a novel heterogeneous latent semantic sparse coding model. The central idea is to bridge heterogeneous modalities by capturing their common sparse latent semantic structure so that the learned visual dictionary is able to describe both the visual and textual properties of training data. Experiments on both image categorization and retrieval tasks demonstrate that our model shows superior performance over several recent methods such as K-means and Sparse Coding.
Detección automática de primitivas semánticas en diccionarios explicativos con algoritmos bioinspirados

Resumen. Cualquier diccionario explicativo tradicional inevitablemente contiene ciclos en sus definiciones, es decir, si una palabra es definida en el diccionario y despues se usa en una definicion, siempre existe un camino en el diccionario que regresa a la misma palabra. En un buen diccionario los ciclos son largos, pero son inevitables. Un diccionario semantico computacional (destinado para el uso de las computadoras) no puede contener ciclos en sus definiciones sin que estos afecten la capacidad de inferencia logica de los sistemas computacionales. Denominamos primitivas semanticas a un conjunto de palabras que de ser eliminadas del diccionario lo mantendria sin ciclos, es decir, esas palabras no tendran la definicion en el diccionario, y en este sentido son primitivas. En esta investigacion, nuestra meta es mantener la mayor cantidad de palabras en el diccionario, es decir, tener un numero minimo de las primitivas semanticas. Presentamos un metodo que obtiene el conjunto de primitivas mas pequeno obtenido hasta ahora. Para eso utilizamos la representacion del diccionario como un grafo dirigido y aplicamos un algoritmo de evolucion diferencial que determina el orden en que el grafo debe ser construido.
Outlier detection to identify artefacts in EEG signals

A method is presented to identify artefacts in clinical EEG recordings. The method is based upon the assumption that artefacts manifest themselves as outliers in one or more EEG-derived parameters. Parameters used are primarily derived from a 5/sup th/ order autoregressive model, fitted to each subsequent second of EEG data. The method results in a set of threshold detection rules that identify outliers in parameter space. Detection thresholds are derived from an analysis of the experimental cumulative distribution function in a training set of clinical EEG recordings, annotated by a human observer.
An incompressible fluid flow model with mutual information for MR image registration

Image registration is one of the fundamental and essential tasks within image processing. It is a process of determining the correspondence between structures in two images, which are called the template image and the reference image, respectively. The challenge of registration is to find an optimal geometric transformation between corresponding image data. This paper develops a new MR image registration algorithm that uses a closed incompressible viscous fluid model associated with mutual information. In our approach, we treat the image pixels as the fluid elements of a viscous fluid flow governed by the nonlinear Navier-Stokes partial differential equation (PDE). We replace the pressure term with the body force mainly used to guide the transformation with a weighting coefficient, which is expressed by the mutual information between the template and reference images. To solve this modified Navier-Stokes PDE, we adopted the fast numerical techniques proposed by Seibold1. The registration process of updating the body force, the velocity and deformation fields is repeated until the mutual information weight reaches a prescribed threshold. We applied our approach to the BrainWeb and real MR images. As consistent with the theory of the proposed fluid model, we found that our method accurately transformed the template images into the reference images based on the intensity flow. Experimental results indicate that our method is of potential in a wide variety of medical image registration applications.
A virtualization-based method for analysis of Cisco IOS

Traditional debugging and disassembly tools are much demanding to analyze as well as debug Cisco IOS. At the same time, analysis with these tools isn’t performed in single-step. In addition, some other defects also contribute to its inaccuracy. This paper presents a dynamic debugging platform based on a router emulator. Subsequently, a new virtualization-based method is proposed on the basis of this platform to analyze Cisco IOS. With the control on virtual hardwares’ running status and the trace of virtual router’s running data, it’s feasible to analyze IOS processes in single-step and accurately. Keywords-IOS process; virtualization; dynamic debugging platform; emulator
Supporting end-to-end deadlines for soft real-time multimedia applications

With the emergence of multimedia technology, soft real-time applications have assumed increasing importance. Such applications require proper scheduling support for meeting their deadlines. It is often the case that such deadlines have to be met on an end-do-end basis since the applications require processing at multiple resources. We present an algorithm to schedule such tasks in a resource-shared environment. Simulation results are provided to illustrate the usefulness of the algorithm.
The Predictive Value of IgE as Biomarker in Asthma

Background. The evidence for a causal relationship between allergens and asthma depends on epidemiologic findings showing a strong association between specific immunoglobulin E (IgE) antibodies or total IgE and asthma. Objective. To clarify the relationship between total serum IgE levels and asthma. Study design. A cross–sectional study. Patients and methods. A total of 562 asthmatic patients were included in the study, and their age range was from 17 to 52 years. The subjects included in the study were outpatients from the Asthma and Allergy Centre or Samara General Hospital outpatients Clinic. The diagnosis of asthma was performed by a specialist physician and was established according to the National Heart Blood and Lung Institute/World Health Organization (NHLBI/WHO) workshop on the Global Strategy for Asthma. Results. This study indicated that mean serum IgE level was 554 ± 447 IU/mL in asthmatic patients, while that of the control population was 69 ± 33 IU/mL. There was no overlap in the values of 95% confidence interval (CI) of higher control limit and lower asthmatic limit values. Addition of two standard deviations to the mean IgE value of the control group (134 IU/mL) does not overlap with the lower 95% CI of the asthmatic group. However, serum IgE was within normal values in 5.9% of asthmatic patients in our study population. There was an inverse correlation between serum IgE levels and forced expiratory volume in 1 second (FEV1) predicted percent for patients with asthma (r = −0.73, p < 0.0001). The predictive value of serum IgE in asthma was determined using Receiver Operating Characteristics (ROC) curve method. From the ROC curve, it can be seen that it is possible to get both high sensitivity and high specificity if the right cut–off value was chosen. In fact, a cut–off of 200 IU/mL would indicate sensitivity of 93% and specificity of 91% in this group of patients and control subjects. Following immunotherapy there was 36% reduction in total serum IgE level. The value of IgE was significantly reduced (p < 0.001) from 956 ± 378 IU/mL at baseline to 613 ± 194 IU/mL after treatment. Conclusion. Serum IgE level was predictive in asthma, and it may be used to differentiate between asthmatic and non-asthmatic individuals in conjunction with other biomarkers. Specific immunotherapy reduced serum total IgE level in 36% of patients with asthma.
Research and Applications of Access Control Based on Logic SQL Database System

Access control is the process of mediating every request to data and services maintained by a system and determining whether the request should be granted or denied. Access control policies are security policies that govern access to resources. It can be applied to several new types of databases. LogicSQL is an object relational database management system implemented with the advanced (formula-lock based) concurrency control protocol, and the steged database architecture. In this paper, we discuss access control in multilevel database management systems applies and illustrate the main applies of access control in the LogicSQL database system.
[HIV infection today].

Die HIV-Infektion hat die Welt der Neuzeit verandert: uber 75 Millionen Menschen wurden bisher mit dem Virus infiziert und ca. 36 Millionen sind daran verstorben [1]. Mittels phylogenetischer Analysen des Virus wurde errechnet, dass sich die zoonotische Transmission des Simian Immunodeficiency Virus auf den Menschen wahrscheinlich ca. zwischen 1884 und 1924 ereignete [2]. Die Verbreitung des Virus im Menschen erfolgte dann vorerst auf sexuellem Weg, spater moglicherweise auch durch medizinische Masnahmen mit unsterilen Nadeln und in der jungeren Vergangenheit durch Blutprodukte und intravenosen Drogengebrauch. Verschiedene soziale und politische Faktoren sowie Verhaltensweisen der Menschen haben die Ausbreitung der Epidemie begunstigt [3]. Im Jahre 1981 wurden erstmals Indikatorkrankheiten manifest, die auf die neuartige, durch eine zellulare Immundefizienz charakterisierte Krankheit hinwiesen. Drei Jahre spater wurde die Ursache, das damals HTLV-III/LAV genannte Virus, identifiziert und seit 1984/1985 stehen serologische Tests zur Diagnose der Infektion zur Verfugung (Tab. 1). Die Praventionsbemuhungen, die seit Mitte der 1980er-Jahre zur Verminderung der sexuellen Ubertragung sowie zur Verringerung der Ubertragung durch kontaminierte Nadeln bei Personen mit intravenosem Drogengebrauch beitrugen, waren in vielen ressourcenreichen Landern erfolgreich, konnten aber in armeren Landern die dramatische Ausbreitung der Infektion vorerst noch nicht wesentlich verlangsamen. Erwahnenswert bei der Analyse der Epidemiologie in der Schweiz sind die erfolgreichen „Harm Reduction“ Masnahmen bei intravenosem Drogengebrauch (Abb. 1), inklusive den Nadelaustauschprogrammen, den staatlich tolerierten Raumen fur die Drogeninjektion, Methadonprogramme und Heroinprogramme. In ressourcenarmen Landern konnten in der Folge mittels staatlicher Gelder und privaten Stiftungen umfassendere Praventionsprogramme, Programme zur Verminderung der Mutter-zu-Kind-Ubertragung durch antiretrovirale Substanzen sowie ein zunehmend verbesserter Zugang zur antiretroviralen Therapie finanziert und konsekutiv die Inzidenz und Pravalenz der HIV-Infektion teilweise auch gesenkt werden. Aktueller Anlass zur Sorge sind die Zunahme von intravenosem Drogengebrauch in ostlichen und asiatischen Landern bei oft fehlenden „Harm Reduction“ Programmen, Klinik fur Infektionskrankheiten und Spitalhygiene, Universitatsspital Zurich Rainer Weber, Huldrych F. Gunthard
Architecture and protocols for supporting routing and quality of service in mobile ad hoc networks

These Ecole polytechnique federale de Lausanne EPFL, n° 2808 (2003)Section des systemes de communicationFaculte informatique et communicationsInstitut EurecomJury: Jon Crowcroft, Philippe Jacquet, Jean-Yves Le Boudec, Refic Molva, Rahim Tafazolli, Emre Telatar Public defense: 2003-9-26 Reference doi:10.5075/epfl-thesis-2808Print copy in library catalog Record created on 2005-03-16, modified on 2016-08-08
Study on Compressing Data for Three-Phase Power Based on Adaptive Two-Dimensional Wavelet Packet

This paper presents a method based on adaptive two-dimensional wavelet packet for three-phase power quality data. In this paper, we shall briefly introduce the method of dq0 transformation. First, the original data is converted by the method of dq0 transformation, its purpose may be to eliminate redundancy between the three-phases alternating data, then change the one-dimensional date converted into a two-dimensional matrix by the integral multiple of cycles, which aims to eliminate redundant between cycles. Finally, use the method of two-dimensional adaptive wavelet packet decomposition, image SPIHT coding and DEFLATE coding to compress the data. The simulation result shows that the algorithm effectively compress the three-phase power quality data, and it has a good compression effect.
Abstraction and verification in Alphard: defining and specifying iteration and generators

The Alphard “form” provides the programmer with a great deal of control over the implementation of abstract data types. In this paper the abstraction techniques are extended from simple data representation and function definition to the iteration statement, the most important point of interaction between data and the control structure of the language itself. A means of specializing Alphard's loops to operate on abstract entities without explicit dependence on the representation of those entities is introduced. Specification and verification techniques that allow the properties of the generators for such iterations to be expressed in the form of proof rules are developed. Results are obtained that for common special cases of these loops are essentially identical to the corresponding constructs in other languages. A means of showing that a generator will terminate is also provided.
Prognostic impact of monocyte count at presentation in mantle cell lymphoma

An increased number of circulating monocytes at presentation has recently been associated with shorter survival in Hodgkin lymphoma, follicular lymphoma and diffuse large B cell lymphoma. This study aimed to assess the prognostic impact of the absolute monocyte count (AMC) at diagnosis in mantle cell lymphoma (MCL). AMC at diagnosis was available in 97 MCL cases recorded in the databases of the Oncology Institute of Southern Switzerland in Bellinzona (Switzerland) and the Division of Haematology of the Amedeo Avogadro University of Eastern Piedmont in Novara (Italy). With a median follow up of 7 years, the 5‐year overall survival was 29% for patients with AMC >0·50 × 109/l and 62% for patients with AMC ≤0·50 × 109/l (P = 0·008). Elevated AMC and beta‐2 microglobulin at diagnosis remained independent outcome predictors at multivariate analysis, controlling for the MCL International Prognostic Index (MIPI), and have been used to build a simple prognostic scoring system. In this relatively small and heterogeneous series an increased AMC identified poor‐risk patients. Our results suggest that AMC together with the beta‐2 microglobulin level might provide an inexpensive way to stratify MCL patient risk as a complement to the MIPI, which was confirmed to be a very powerful prognostic tool.
Journal of Software Maintenance and Evolution: Research and Practice Experience Splitting a Large Software Repository for Easing Future Software Evolution — an Industrial Experience Report ‡

SUMMARY Philips Medical Systems produces medical diagnostic imaging products, such as MR, X-ray and CT systems. The software of these devices is complex, has been evolving for several decades and is currently a multi-MLOC monolithic software repository. In this paper we report on splitting a single software repository into multiple smaller repositories so that these can be developed independently, easing the software's evolution. For splitting the single software repository, we set up two experiments that involve well-known analysis techniques, namely formal concept analysis and clustering. Because of the sheer size of the monolithic software repository, we also propose to use a 'leveled approach', which implies that the analysis technique is applied in several iterations, whereby in some iterations only part of the application is subjected to the analysis technique. Unfortunately, both analysis techniques failed to produce an acceptable partitioning of the monolithic software repository, even if they are combined with our newly proposed leveled approach. We provide a number of valuable lessons learned, which might prevent others from falling into the same pitfalls.
A method of spectra-analysis for abnormal voice signals

A microprocessor-based voice-spectra analysis system is presented. The voice signals of some patients with laryngeal disease have been analyzed. The results showed that the voices of patients with different diseases have distinct acoustic characteristics. This method can recognize the acoustic characteristics of abnormal voices and help doctors and medical experts to research the physiology and pathology of the voice, diagnose laryngeal diseases, and monitor laryngeal state before and after operations. The waveforms of the voice signals and the analysis results are given. <<ETX>>
Extrakranielle stereotaktische Radiotherapie bei frühen nicht-kleinzelligen Bronchialkarzinomen und Oligometastasen

: La stereotaxie extracrânienne est une nouvelle technique de radiation qui prend avantage des ameliorations effectuees dans la planification radiotherapeutique, la modulation de l'intensite ainsi que de l'imagerie. L'utilisation de la stereotaxie extracrânienne permet de reduire la duree de la radiotherapie de six semaines a quelques jours. De plus, les etudes prospectives phase II pour des patients ayant des cancers bronchiques non a petites cellules ont montre que l'utilisation de la stereotaxie extracrânienne permet d'obtenir un controle local de la tumeur de l'ordre de 85% a 95%. L'utilisation de la stereotaxie extracrânienne est utilise de plus en plus pour le traitement de metastases dans le poumon, le foie, le retroperitoine et les os. Puisque la stereotaxie extracrânienne permet de delivrer une dose curative en seulement quelques fractions, cette technique ouvre de nouvelles perspectives pour les patients souffrant d'oligo-metastases.
The corpus-based identification of cross-lectal synonyms in pluricentric languages

This article discusses a corpus-based method for the automatic identification of synonyms across different varieties of the same language. This method, based on the paradigm of distributional semantics, quantifies semantic similarity on the basis of contextual similarity in two comparable corpora. In two case studies for Dutch and German, we show that it automatically identifies the correct synonym for 31% and 25% of the target words, respectively. A manual error analysis moreover indicates that many additional synonyms are very close in the distributional model, while most other distributional neighbours are semantically related to the target word along other dimensions than synonymy. On the basis of these results, we argue that distributional-semantic methods can play a crucial role in the further evolution of corpus-based lexical semantics to a more quantitative discipline.
ICARE : approche à composants pour l'interaction multimodale

Mobile and ubiquitous systems support multiple interaction techniques such as the synergistic use of active modalities (speech, gesture, etc.) and passive modalities (gaze, localization of a user, etc.). The flexibility they offer results in an increased complexity that current software development tools do not address appropriately. In this paper we describe a componentbased approach, called ICARE, for specifying and developing interfaces combining active and passive modalities. Our approach relies on two types of components: (1) elementary components that describe pure modalities (active and passive) and (2) composition components (Complementarity, Redundancy and Equivalence) that enable the designer to specify combined usage of modalities. The designer graphically assembles the ICARE components and the code of the multimodal user interface is automatically generated. Although the ICARE platform is not fully developed, we illustrate the applicability of the approach with the implementation of three mobiles systems: two GeoNote systems and one prototype of cockpit commands of Rafale (French military plane).
A New TDMA Scheduling Algorithm for Data Collection over Tree-Based Routing in Wireless Sensor Networks

Data collection is one of the most important tasks in Wireless Sensor Networks (WSNs) where a set of sensors measure properties of a phenomenon of interest and send their data to the sink. Minimizing the delay of the data collection is important for applications in which certain actions based on deadline are needed, such as event-based and mission-critical applications. Time Division Multiple Access (TDMA) scheduling algorithms are widely used for quick delivery of data with the objective of minimizing the time duration of delivering data to the sink, that is, minimizing the delay. In this paper, we propose a new centralized TDMA scheduling algorithm that is based on nodes congestion for general ad hoc networks. In the proposed algorithm, the scheduling is obtained using colouring of the original network. Colouring the original network is accomplished based on congestion degree of nodes. The simulation results indicate that the performance of our algorithm is better than that of node-based and level-based scheduling algorithms. We will also show that the performance of our proposed algorithm depends on the distribution of the nodes across the network.
Intraempreendedorismo Feminino e Desenvolvimento de Competências Empreendedoras: Um Estudo de Caso com Professoras de Programas de Mestrado e Doutorado em Administração de Curitiba-PR DOI 10.5752/P.1984-6606.2011v11n25p34

Analisar como as docentes com perfil intraempreendedor atuantes em Programas de Pos-Graduacao stricto sensu (mestrado e doutorado) em Administracao de Curitiba-PR desenvolvem as competencias de docencia e pesquisa e o objetivo geral deste estudo, o qual aborda temas como empreendedorismo feminino, intraempreendedorismo e competencias empreendedoras. Trata-se de uma pesquisa com abordagem qualitativa, de natureza descritiva e perspectiva temporal de corte transversal com aproximacao longitudinal em que os dados foram coletados no periodo de junho a setembro de 2009, por meio de pesquisa documental e entrevistas semi-estruturadas em profundidade, junto ao total de docentes de genero feminino. Os dados foram analisados segundo as tecnicas de analise tematica de conteudo e os resultados demonstraram que as docentes entrevistadas tem perfil intraempreendedor, possuem competencias empreendedoras de docencia e pesquisa e buscam desenvolver essas competencias por meio formal e informal.
Expressive Timing and Dynamics in Real and Artificial Musical Performances: Using an Algorithm as an Analytical Tool

This paper compares timing and key-velocity data collected from a skilled performance of Schubert9s G♭-major Impromptu (Opus 90) with a number of performances generated by a version of a musical expression algorithm proposed by Todd (1992). Regression analysis is used to demonstrate both the shortcomings of this model as a complete explanation of musical expression and how it might be more successfully used as a tool for analyzing data from real performances. Used in this second manner, the algorithm is shown to provide a general expressive baseline against which other aspects of expression may be highlighted. It is also suggested that such a baseline provides a method of decomposing performances into continuous and discrete forms of expression. It is concluded that using algorithmic models as heuristic tools, rather than as explanations in themselves, may better serve our increased understanding of the flexible and multiple nature of musical expression.