Managing Quality Properties of Web Service Compositions

Web services from different partners can be combined to applications that realize a more complex business goal. Such applications built as Web service compositions define how interactions between Web services take place in order to implement the business logic. Web service compositions not only have to provide the desired functionality but also have to comply with certain Quality of Service (QoS) levels. Maximizing the users' satisfaction, also reflected as Quality of Experience (QoE), is a primary goal to be achieved in a Service-Oriented Architecture (SOA). Unfortunately, in a dynamic environment like SOA unforeseen situations might appear like services not being available or not responding in the desired time frame. In such situations, appropriate actions need to be triggered in order to avoid the violation of QoS and QoE constraints. In this thesis, proper solutions are developed to manage Web services and Web service compositions with regard to QoS and QoE requirements. The Business Process Rules Language (BPRules) was developed to manage Web service compositions when undesired QoS or QoE values are detected. BPRules provides a rich set of management actions that may be triggered for controlling the service composition and for improving its quality behavior. Regarding the quality properties, BPRules allows to distinguish between the QoS values as they are promised by the service providers, QoE values that were assigned by end-users, the monitored QoS as measured by our BPR framework, and the predicted QoS and QoE values. BPRules facilitates the specification of certain user groups characterized by different context properties and allows triggering a personalized, context-aware service selection tailored for the specified user groups. In a service market where a multitude of services with the same functionality and different quality values are available, the right services need to be selected for realizing the service composition. We developed new and efficient heuristic algorithms that are applied to choose high quality services for the composition. BPRules offers the possibility to integrate multiple service selection algorithms. The selection algorithms are applicable also for non-linear objective functions and constraints. The BPR framework includes new approaches for context-aware service selection and quality property predictions. We consider the location information of users and services as context dimension for the prediction of response time and throughput. The BPR framework combines all new features and contributions to a comprehensive management solution. Furthermore, it facilitates flexible monitoring of QoS properties without having to modify the description of the service composition. We show how the different modules of the BPR framework work together in order to execute the management rules. We evaluate how our selection algorithms outperform a genetic algorithm from related research. The evaluation reveals how context data can be used for a personalized prediction of response time and throughput.

Sparse Correlation Kernel Analysis and Reconstruction

This paper presents a new paradigm for signal reconstruction and superresolution, Correlation Kernel Analysis (CKA), that is based on the selection of a sparse set of bases from a large dictionary of class- specific basis functions. The basis functions that we use are the correlation functions of the class of signals we are analyzing. To choose the appropriate features from this large dictionary, we use Support Vector Machine (SVM) regression and compare this to traditional Principal Component Analysis (PCA) for the tasks of signal reconstruction, superresolution, and compression. The testbed we use in this paper is a set of images of pedestrians. This paper also presents results of experiments in which we use a dictionary of multiscale basis functions and then use Basis Pursuit De-Noising to obtain a sparse, multiscale approximation of a signal. The results are analyzed and we conclude that 1) when used with a sparse representation technique, the correlation function is an effective kernel for image reconstruction and superresolution, 2) for image compression, PCA and SVM have different tradeoffs, depending on the particular metric that is used to evaluate the results, 3) in sparse representation techniques, L_1 is not a good proxy for the true measure of sparsity, L_0, and 4) the L_epsilon norm may be a better error metric for image reconstruction and compression than the L_2 norm, though the exact psychophysical metric should take into account high order structure in images.

On the Noise Model of Support Vector Machine Regression

Support Vector Machines Regression (SVMR) is a regression technique which has been recently introduced by V. Vapnik and his collaborators (Vapnik, 1995; Vapnik, Golowich and Smola, 1996). In SVMR the goodness of fit is measured not by the usual quadratic loss function (the mean square error), but by a different loss function called Vapnik"s $epsilon$- insensitive loss function, which is similar to the "robust" loss functions introduced by Huber (Huber, 1981). The quadratic loss function is well justified under the assumption of Gaussian additive noise. However, the noise model underlying the choice of Vapnik's loss function is less clear. In this paper the use of Vapnik's loss function is shown to be equivalent to a model of additive and Gaussian noise, where the variance and mean of the Gaussian are random variables. The probability distributions for the variance and mean will be stated explicitly. While this work is presented in the framework of SVMR, it can be extended to justify non-quadratic loss functions in any Maximum Likelihood or Maximum A Posteriori approach. It applies not only to Vapnik's loss function, but to a much broader class of loss functions.

Core-Shell Assisted Bimetallic Assembly of Pt and Ru Nanoparticles by DNA Hybridization

We have discovered that the current protocols to assemble Au nanoparticles based on DNA hybridization do not work well with the small metal nanoparticles (e.g. 5 nm Au, 3.6 nm Pt and 3.2 nm Ru particles). Further investigations revealed the presence of strong interaction between the oligonucleotide backbone and the surface of the small metal nanoparticles. The oligonucleotides in this case are recumbent on the particle surface and are therefore not optimally oriented for hybridization. The nonspecific adsorption of oligonucleotides on small metal nanoparticles must be overcome before DNA hybridization can be accepted as a general assembly method. Two methods have been suggested as possible solutions to this problem. One is based on the use of stabilizer molecules which compete with the oligonucleotides for adsorption on the metal nanoparticle surface. Unfortunately, the reported success of this approach in small Au nanoparticles (using K₂BSPP) and Au films (using 6-mercapto-1-hexanol) could not be extended to the assembly of Pt and Ru nanoparticles by DNA hybridization. The second approach is to simply use larger metal particles. Indeed most reports on the DNA hybridization induced assembly of Au nanoparticles have made use of relatively large particles (>10 nm), hinting at a weaker non-specific interaction between the oligonucleotides and large Au nanoparticles. However, most current methods of nanoparticle synthesis are optimized to produce metal nanoparticles only within a narrow size range. We find that core-shell nanoparticles formed by the seeded growth method may be used to artificially enlarge the size of the metal particles to reduce the nonspecific binding of oligonucleotides. We demonstrate herein a core-shell assisted growth method to assemble Pt and Ru nanoparticles by DNA hybridization. This method involves firstly synthesizing approximately 16 nm core-shell Ag-Pt and 21 nm core-shell Au-Ru nanoparticles from 9.6 nm Ag seeds and 17.2 nm Au seeds respectively by the seed-mediated growth method. The core-shell nanoparticles were then functionalized by complementary thiolated oligonucleotides followed by aging in 0.2 M PBS buffer for 6 hours. The DNA hybridization induced bimetallic assembly of Pt and Ru nanoparticles could then be carried out in 0.3 M PBS buffer for 10 hours.

What is next after the genes for autoimmunity?

Clinical pathologies draw us to envisage disease as either an independent entity or a diverse set of traits governed by common physiopathological mechanisms, prompted by environmental assaults throughout life. Autoimmune diseases are not an exception, given they represent a diverse collection of diseases in terms of their demographic profile and primary clinical manifestations. Although they are pleiotropic outcomes of non-specific disease genes underlying similar immunogenetic mechanisms, research generally focuses on a single disease. Drastic technologic advances are leading research to organize clinical genomic multidisciplinary approaches to decipher the nature of human biological systems. Once the currently costly omic-based technologies become universally accessible, the way will be paved for a cleaner picture to risk quantification, prevention, prognosis and diagnosis, allowing us to clearly define better phenotypes always ensuring the integrity of the individuals studied. However, making accurate predictions for most autoimmune diseases is an ambitious challenge, since the understanding of these pathologies is far from complete. Herein, some pitfalls and challenges of the genetics of autoimmune diseases are reviewed, and an approximation to the future of research in this field is presented.

Brain Tumour, Mood Disorder and Encephalopathy. Discusion of the Clinical Case Presented in Volume 6, Number 2

We report a case of a 65 years old female patient, who was admitted to the hospital with non specific neurological symptoms and who had preliminary imagenological findings of an extra-axial tumor mass (a meningioma of the sphenoid’s wing), which was taken to complete surgical removal. Afterwards, she developed progressive neurologic deterioration until her death. The final diagnosis was acute spongiform encephalophaty, and was obtained by cerebral biopsy. Spongiform encephalopathy was described, almost a century ago, as the Creutzfeldt-Jakob Disease, poorly diagnosed in our environment because of its low frequency and uncommon onset, which starts with a mood disorder followed by a phase of dementia and a final fatal outcome. The gold standard for the diagnosis is based on a biopsy or an autopsy of the brain, with immunohistochemical stains for the prionic abnormal protein.

Brain Tumour, Mood Disorder and Encephalopathy. Discusion of the Clinical Case Presented in Volume 6, Number 2

We report a case of a 65 years old female patient, who was admitted to the hospital with non specific neurological symptoms and who had preliminary imagenological findings of an extra-axial tumor mass (a meningioma of the sphenoid’s wing), which was taken to complete surgical removal. Afterwards, she developed progressive neurologic deterioration until her death. The final diagnosis was acute spongiform encephalophaty, and was obtained by cerebral biopsy. Spongiform encephalopathy was described, almost a century ago, as the Creutzfeldt-Jakob Disease, poorly diagnosed in our environment because of its low frequency and uncommon onset, which starts with a mood disorder followed by a phase of dementia and a final fatal outcome. The gold standard for the diagnosis is based on a biopsy or an autopsy of the brain, with immunohistochemical stains for the prionic abnormal protein.

Fisioterapia en la rehabilitación del usuario con síndrome doloroso regional complejo

Por sus múltiples causas y su sintomatología inespecífica, el síndrome doloroso regional complejo es una de las situaciones clínicas que mayor dificultad genera en el tratamiento fisioterapéutico. Este síndrome se define como una disfunción vasomotora, mediada por el sistema simpático en donde su manifestación primaria es un dolor que aumenta y permanece en el tiempo y que no tolera las diferentes modalidades y técnicas utilizadas por los Fisioterapeutas como herramientas de intervención. A través del tiempo el Fisioterapeuta ha tenido una acción relevante en el manejo del usuario con dolor, sin importar la causa o consecuencia del mismo. Por esta razón con esta revisión se quiere, integrar acciones terapéuticas como la carga de peso, la desensibilización y la relajación, que han dado excelentes resultados, a las prácticas tradicionales (medios físicos, ultrasonido, masaje sedativo y diferentes tipos de corrientes) aplicables a quienes padecen dolor secundario, traumático o visceral que compromete el sistema simpático en forma refleja.

Hallazgos radiológicos de la enfermedad pulmonar en pacientes Colombianos con esclerodermia

La esclerosis sistémica (ES) es una enfermedad autoinmune multisistémica que afecta principalmente la piel, los pulmones, el tracto gastrointestinal, el corazón y los riñones. La enfermedad pulmonar, presente en casi el 100% de los casos, es el factor con mayor influencia en la mortalidad. El propósito de este estudio es realizar un análisis detallado de la enfermedad pulmonar por tomografía computarizada de alta resolución(TCAR) en pacientes Colombianos con ES, para lo cual se realizó un estudio de prevalencia analítica en 44 pacientes con ES valorados en el Hospital Universitario Mayor Méderi en los últimos 7 años. Los resultados mostraron características demográficas y clínicas similares a las previamente descritas. La prevalencia de enfermedad pulmonar intersticial fue alta, y los hallazgos de fibrosis pulmonar como vidrio esmerilado y panal de abejas se asociaron con la presencia del autoanticuerpo antiSCL70. La medida del diámetro esofágico por TCAR fue mayor en los pacientes con disfagia, antiSCL 70 y linfopenia, los cuales son marcadores de mal pronóstico.

Nanotecnologia e a sua aplicação à terapêutica oncológica

A nanotecnologia, e a sua aplicação na área da biomedicina, em particular na terapêutica e diagnóstico oncológico, tem sido alvo de um desenvolvimento exponencial, com impacto profundo no que respeita a cuidados de saúde. O cancro é uma das doenças que afecta mais pessoas a nível mundial, com elevados índices de mortalidade, níveis de sofrimento físico e emocional e, encargos para o doente, família e sociedade. É uma doença complexa, e a prática clínica convencional constitui um paradigma, na medida em que se revela insuficiente e extremamente agressiva, expondo o doente a medicamentos citotóxicos, não específicos, com elevada toxicidade sistémica e efeitos adversos. A Nanomedicina, e a exploração das propriedades únicas das nanopartículas, apresenta a potencialidade de melhorar a capacidade de detecção e diagnóstico do cancro e, aumentar a especificidade e efectividade no tratamento das células tumorais. No entanto, o recurso a nanotecnologias continua a ser alvo de alguma controvérsia e cepticismo por parte de alguns elementos das comunidades científicas e académica. Com nanoprodutos já aprovados e utilizados em prática clínica e muitos outros em desenvolvimento e investigação em ensaios clínicos, a realização deste trabalho tem como objectivo compreender os conceitos de nanotecnologia e Nanomedicina, perceber o estado da arte, ponderando as vantagens e desvantagens da abordagem “nano” e a sua real aplicação à terapêutica oncológica.

Estudo restrospectivo de pancreatite canina em 41 casos

A pancreatite, apesar de relativamente comum na medicina canina, continua a constituir um desafio devido à sua elevada complexidade patogénica, sinais clínicos não patognomónicos, diagnóstico por vezes difícil e tratamento inespecífico. De forma a realizar um estudo retrospectivo foram avaliados registos médicos de 41 canídeos diagnosticados com pancreatite, apresentados à consulta entre 2007 e 2013, de forma a caracterizar o doente pancreático. As características do animal, história clinica, sinais clínicos apresentados, métodos de diagnóstico e tratamento instituído foram analisados. Como critérios de inclusão neste estudo encontram-se a medição de cPLI com resultados acima do valor de referência e a realização de ecografia abdominal. A ecografia demonstrou evidências de pancreatite em 81% dos casos, sendo este valor superior aos 68% encontrados na literatura. Os sinais clínicos apresentados mais comuns foram vómito (39), prostração (38), dor abdominal (36), perda de peso e anorexia (26), desidratação (25), diarreia (21) e febre (5). Todos os animais foram submetidos a tratamento médico, tendo sido apenas 4 deles sujeitos também a cirurgia. A taxa de sobrevivência nos animais com tratamento médico foi de 95% e de 50 % nos animais com tratamento médico e cirúrgico.

Communication breakdowns and repair strategies in oral communication and total communication children with cochlear implants

This study assesses communication breakdowns in children with cochlear implants from oral and total communications backgrounds. More communication breakdowns occurred between the total communication child and the conversational partner than the oral communication child and the conversational partner. Both total and oral communication children used non-specific repair strategies.

Selective effects of Lactobacillus casei Shirota on T cell activation, natural killer cell activity and cytokine production

Modulation of host immunity is an important potential mechanism by which probiotics confer health benefits. This study was designed to investigate the effects of a probiotic strain, Lactobacillus casei Shirota (LcS), on immune function, using human peripheral blood mononuclear cells (PBMC) in vitro. In addition, the role of monocytes in LcS-induced immunity was also explored. LcS promoted natural killer (NK) cell activity and preferentially induced expression of CD69 and CD25 on CD8+ and CD56+ subsets in the absence of any other stimulus. LcS also induced production of IL-1β, IL-6, TNF-α, IL-12 and IL-10 in the absence of lipopolysaccharide (LPS). In the presence of LPS, LcS enhanced IL-1β production, but inhibited LPS-induced IL-10 and IL-6 production, and had no further effect on TNF-α and IL-12 production. Monocyte-depletion significantly reduced the impact of LcS on lymphocyte activation, cytokine production and NK cell activity. In conclusion, LcS preferentially activated cytotoxic lymphocytes in both the innate and specific immune system, which suggests that LcS could potentiate the destruction of infected cells in the body. LcS also induced both pro-inflammatory and anti-inflammatory cytokine production in the absence of LPS, but inhibited LPS-induced cytokine production in some cases. Monocytes play an important role in LcS-induced immunological responses.

GeneMCL in microarray analysis

Accurately and reliably identifying the actual number of clusters present with a dataset of gene expression profiles, when no additional information on cluster structure is available, is a problem addressed by few algorithms. GeneMCL transforms microarray analysis data into a graph consisting of nodes connected by edges, where the nodes represent genes, and the edges represent the similarity in expression of those genes, as given by a proximity measurement. This measurement is taken to be the Pearson correlation coefficient combined with a local non-linear rescaling step. The resulting graph is input to the Markov Cluster (MCL) algorithm, which is an elegant, deterministic, non-specific and scalable method, which models stochastic flow through the graph. The algorithm is inherently affected by any cluster structure present, and rapidly decomposes a graph into cohesive clusters. The potential of the GeneMCL algorithm is demonstrated with a 5730 gene subset (IGS) of the Van't Veer breast cancer database, for which the clusterings are shown to reflect underlying biological mechanisms. (c) 2005 Elsevier Ltd. All rights reserved.

Isolation and partial characterisation of acid phosphatase isozymes from dormant oilseed of Corylus avellana L.

The acid phosphatase (orthophosphoric-monoester phosphohydrolase, EC 3.1.3.2) complement from dormant hazel (Corylus avellana L.) seeds was found to exhibit significant electrophoretic heterogeneity partially attributable to the presence of distinct molecular forms. In axiferous tissue, total acid phosphatase activity increased in a biphasic fashion during chilling, a treatment necessary to alleviate seed dormancy. Three acid phosphatase isozymes were isolated from cotyledons of dormant hazel seeds by successive ammonium sulphate precipitation, size-exclusion, Concanavalin A affinity, cation- and anion-exchange chromatographies resulting in 75-, 389- and 191-fold purification (APase1, APase2, APase3, respectively). The three glycosylated isoforms were isolated to catalytic homogeneity as determined by electrophoretic, kinetic and heat-inactivation studies. The native acid phosphatase complement of hazel seeds had an apparent Mr of 81.5±3.5 kDa as estimated by size-exclusion chromatography, while the determined pI values were 5.1 (APase1), 6.9 (APase2) and 7.3 (APase3). The optimum pH for p-nitrophenyl phosphate hydrolysis was pH 3 (APase1), pH 5.6 (APase2) and pH 6 (APase3). The hazel isozymes hydrolysed a variety of phosphorylated substrates in a non-specific manner, exhibiting low Km and the highest specificity constant (Vmax/Km) for pyrophosphate. They were not primary phytases since they could not initiate phytic acid hydrolysis, while APase2 and APase3 had significant phospho-tyrosine phosphatase activity. Inorganic phosphate was a competitive inhibitor, while activity was significantly impaired in the presence of vanadate and fluoride.