Experimental glaucoma model (ischemia and reperfusion): histology, morphometry, protein and gene espression of apoptosis pathway

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Análise de pathway e network em tecido adiposo in vivo e o papel da vitamina D na adipogênese in vitro

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A possible increase of activity of endothelial l-arginine/nitric oxide pathway in aortas of diet-induced obesity rats

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Effect of gestational protein restriction on left ventricle hypertrophy and heart angiotensin II signaling pathway in adult offspring rats

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Fatores que Influenciam a flexibilidade da produção de veículos comerciais

Pós-graduação em Engenharia de Produção - FEG

Fatores que Influenciam a flexibilidade da produção de veículos comerciais

Pós-graduação em Engenharia de Produção - FEG

A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics

XML similarity evaluation has become a central issue in the database and information communities, its applications ranging over document clustering, version control, data integration and ranked retrieval. Various algorithms for comparing hierarchically structured data, XML documents in particular, have been proposed in the literature. Most of them make use of techniques for finding the edit distance between tree structures, XML documents being commonly modeled as Ordered Labeled Trees. Yet, a thorough investigation of current approaches led us to identify several similarity aspects, i.e., sub-tree related structural and semantic similarities, which are not sufficiently addressed while comparing XML documents. In this paper, we provide an integrated and fine-grained comparison framework to deal with both structural and semantic similarities in XML documents (detecting the occurrences and repetitions of structurally and semantically similar sub-trees), and to allow the end-user to adjust the comparison process according to her requirements. Our framework consists of four main modules for (i) discovering the structural commonalities between sub-trees, (ii) identifying sub-tree semantic resemblances, (iii) computing tree-based edit operations costs, and (iv) computing tree edit distance. Experimental results demonstrate higher comparison accuracy with respect to alternative methods, while timing experiments reflect the impact of semantic similarity on overall system performance.

Test and Evaluation of the FastSLAM Algorithm in a Mobile Robot

Máster Universitario en Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI)

Metabolismo di oligosaccaridi prebiotici in Bifidobacterium per il potenziale sviluppo di nuovi prodotti alimentari funzionali

The growth and the metabolism of Bifidobacterium adolescentis MB 239 fermenting GOS, lactose, galactose, and glucose were investigated. An unstructerd unsegregated model for growth of B. adolescentis MB 239 in batch cultures was developed and kinetic parameters were calculated with a Matlab algorithm. Galactose was the best carbon source; lactose and GOS led to lower growth rate and cellular yield, but glucose was the poorest carbon source. Lactate, acetate and ethanol yields allowed calculation of the carbon fluxes toward fermentation products. Similar distribution between 3- and 2-carbon products was observed on all the carbohydrates (45 and 55%, respectively), but ethanol production was higher on glucose than on GOS, lactose and galactose, in decreasing order. Based on the stoichiometry of the fructose 6-phosphate shunt and on the carbon distribution among the products, ATP yield was calculated on the different carbohydrates. ATP yield was the highest on galactose, while it was 5, 8, and 25% lower on lactose, GOS, and glucose, respectively. Therefore, a correspondance among ethanol production, low ATP yields, and low biomass production was established demonstrating that carbohydrate preferences may result from different sorting of carbon fluxes through the fermentative pathway. During GOS fermentation, stringent selectivity based on the degree of polymerization was exhibited, since lactose and the trisaccharide were first to be consumed, and a delay was observed until longer oligosaccharides were utilized. Throughout the growth on both lactose and GOS, galactose accumulated in the cultural broth, suggesting that β-(1-4) galactosides can be hydrolysed before they are taken up. The physiology of Bifidobacterium adolescentis MB 239 toward xylooligosaccharides (XOS) was also studied and our attention was focused on an extracellular glycosyl-hydrolase (β-Xylosidase) expressed by a culture of B. adolescentis grown on XOS as sole carbon source. The extracellular enzyme was purified from the the supernatant, which was dialyzed and concentrated by ultrafiltration. A two steps purification protocol was developed: the sample was loaded on a Mono-Q anion exchange chromatography and then, the active fractions were pooled and β-Xylosidase was purified by gel filtration chromatography on a Superdex-75. The enzyme was characterized in many aspects. β- Xylosidase was an homo-tetramer of 160 kDa as native molecular mass; it was a termostable enzyme with an optimum of temperature at 53 °C and an optimum of pH of 6.0. The kinetics parameter were calculated: km = 4.36 mM, Vmax = 0.93 mM/min. The substrate specificity with different di-, oligo- and polysaccharides was tested. The reactions were carried out overnight at pH 7 and at the optimum of temperature and the carbohydrates hydrolysis were analyzed by thin layer chromatography (TLC). Only glycosyl-hydrolase activities on XOS and on xylan were detected, whereas sucrose, lactose, cellobiose, maltose and raffinose were not hydrolyzed. It’s clearly shown that β-Xylosidase activity was higher than the Xylanase one. These studies on the carbohydrate preference of a strain of Bifidobacterium underlined the importance of the affinity between probiotics and prebiotics. On the basis of this concept, together with Barilla G&R f.lli SpA, we studied the possibility to develop a functional food containing a synbiotic. Three probiotic strains Lactobacillus plantarum BAR 10, Streptococcus thermophilus BAR 20, and Bifidobacterium lactis BAR 30 were studied to assess their suitability for utilization in synbiotic products on the basis of antioxidative activity, glutathione production, acid and bile tolerance, carbohydrates fermentation and viability in food matrices. Bile and human gastric juice resistance was tested in vitro to estimate the transit tolerance in the upper gastrointestinal tract. B. lactis and L. plantarum were more acid tolerant than S. thermophilus. All the strains resisted to bile. The growth kinetics on 13 prebiotic carbohydrates were determined. Galactooligosaccharides and fructo-oligosaccharides were successfully utilized by all the strains and could be considered the most appropriate prebiotics to be used in effective synbiotic formulations. The vitality of the three strains inoculated in different food matrices and maintained at room temperature was studied. The best survival of Lactobacillus plantarum BAR 10, Streptococcus thermophilus BAR 20, and Bifidobacterium lactis BAR 30 was found in food chocolate matrices. Then an in vivo clinical trial was carried out for 20 healthy volunteers. The increase in faecal bifidobacteria and lactobacilli populations and the efficacy of the pre-prototype was promising for the future develop of potential commercial products.

A new snowfall detection algorithm for high latitude regions based on a combination of active and passive sensors

Precipitation retrieval over high latitudes, particularly snowfall retrieval over ice and snow, using satellite-based passive microwave spectrometers, is currently an unsolved problem. The challenge results from the large variability of microwave emissivity spectra for snow and ice surfaces, which can mimic, to some degree, the spectral characteristics of snowfall. This work focuses on the investigation of a new snowfall detection algorithm specific for high latitude regions, based on a combination of active and passive sensors able to discriminate between snowing and non snowing areas. The space-borne Cloud Profiling Radar (on CloudSat), the Advanced Microwave Sensor units A and B (on NOAA-16) and the infrared spectrometer MODIS (on AQUA) have been co-located for 365 days, from October 1st 2006 to September 30th, 2007. CloudSat products have been used as truth to calibrate and validate all the proposed algorithms. The methodological approach followed can be summarised into two different steps. In a first step, an empirical search for a threshold, aimed at discriminating the case of no snow, was performed, following Kongoli et al. [2003]. This single-channel approach has not produced appropriate results, a more statistically sound approach was attempted. Two different techniques, which allow to compute the probability above and below a Brightness Temperature (BT) threshold, have been used on the available data. The first technique is based upon a Logistic Distribution to represent the probability of Snow given the predictors. The second technique, defined Bayesian Multivariate Binary Predictor (BMBP), is a fully Bayesian technique not requiring any hypothesis on the shape of the probabilistic model (such as for instance the Logistic), which only requires the estimation of the BT thresholds. The results obtained show that both methods proposed are able to discriminate snowing and non snowing condition over the Polar regions with a probability of correct detection larger than 0.5, highlighting the importance of a multispectral approach.

Performance evaluation of a parallel algorithm for simultaneous untangling and smoothing of tetrahedral meshes

[EN]A new parallel algorithm for simultaneous untangling and smoothing of tetrahedral meshes is proposed in this paper. We provide a detailed analysis of its performance on shared-memory many-core computer architectures. This performance analysis includes the evaluation of execution time, parallel scalability, load balancing, and parallelism bottlenecks. Additionally, we compare the impact of three previously published graph coloring procedures on the performance of our parallel algorithm. We use six benchmark meshes with a wide range of sizes. Using these experimental data sets, we describe the behavior of the parallel algorithm for different data sizes. We demonstrate that this algorithm is highly scalable when it runs on two different high-performance many-core computers with up to 128 processors...

T-spline parameterization of 2D geometries based on the meccano method with a new T-mesh optimization algorithm

[EN]We present a new method, based on the idea of the meccano method and a novel T-mesh optimization procedure, to construct a T-spline parameterization of 2D geometries for the application of isogeometric analysis. The proposed method only demands a boundary representation of the geometry as input data. The algorithm obtains, as a result, high quality parametric transformation between 2D objects and the parametric domain, the unit square. First, we define a parametric mapping between the input boundary of the object and the boundary of the parametric domain. Then, we build a T-mesh adapted to the geometric singularities of the domain in order to preserve the features of the object boundary with a desired tolerance…

Studio del pathway della Displasia Ectodermica Anidrotica (EDA)

Anhidrotic Ectodermal Dysplasia (EDA), is the most frequent form among Ectodermal Dysplasias, hereditary genetic disorders causing ectodermal appendages defective development. Indeed, EDA is characterized by defective formation of hair follicles, sweat glands and teeth both in human patients and animals. EDA, the gene mutated in Anhidrotic Ectodermal Dysplasia, encodes Ectodysplasin, a TNF family member that activates NF-kB mediated transcription. This disease can occur with mutations in other EDA-NF-kB pathway members, as EDA receptor, EDAR and its adapter, EDARADD. Moreover, mutations in TRAF6, NEMO, IKB and NF-kBs genes are responsible for Immunodeficiency associated EDA (EDA-ID). Several molecules, as SHH, WNT/DKK, BMP and LTβ, have already been reported to be EDA pathway regulators or effectors although the knowledge of the full spectrum of EDA targets remains incomplete. During the first part of the research project a gene expression analysis was performed in primary keratinocytes from Wild-type and Tabby (EDA model mouse) mice to identify novel EDA target genes. Earlier expression profiling at various developmental time points in Tabby and Wild-type mouse skin reported genes differentially expressed in the two samples and, to increase the resolution to find genes whose expression may be restricted to epidermal cells, the study was extended to primary keratinocyte cultures established from E19 Wild-type and Tabby skin. Using microarrays bearing 44,000 gene probes, we found 385 “preliminary candidate” genes whose expression was significantly affected by Eda defect. By comparing expression profiles to those from Eda-A1 (where Eda-A1 is highly expressed) transgenic skin, we restricted the list to 38 “candidate EDA targets”, 14 of which were already known to be expressed in hair follicles or epidermis. This work confirmed expression changes for 3 selected genes, Tbx1, Bmp7, and Jag1, both in primary keratinocytes and in Wild-type and Tabby whole skin, by Q-PCR and Western blotting analyses. Thus, this study detected novel candidate pathways downstream of EDA. In the second part of the research project, plasmid constructs were produced and analyzed to create a transgenic mouse model for Immunodeficiency associated EDA disease (XL-EDA-ID). In particular, plasmids containing mouse Wild-type and mutated Nemo cDNA under K-17 epidermis-specific promoter control and a Flag tag, were prepared, on the way to confine transgene expression to mice epidermis and to determine EDA phenotype without immunodeficiency for a comparison to Tabby model phenotype. EDA-ID mutations reported in patients and selected for this study are: C417R (C409R in mouse), causing Zinc Finger protein domain destabilization and A288G (A282G in mouse) affecting oligomerization of the protein. Moreover, the ex-novo mutation, ZnF, C-terminal Zinc Finger domain deletion, was tested. Thus, the constructs were analyzed by transient transfection, Western blotting and luciferase assays techniques, detecting Nemo Wild-type and mutant protein products and residue NF-kB activity in presence of mutants, after TNF stimulation. In particular, MEF_Nemo-/- cell line was used to monitor NF-kB activity without endogenous Nemo gene. Results show reduced NF-kB activity in presence of mutated Nemo forms compared to Wild-type: 81% for A282G (A288G in human); 24% for C409R (C417R in human); 15% for ZnF. C409R mutation (C417R in human), reported in 6 EDA-ID human patients, was selected to prepare transgenic model mouse. Mice (white, FVP) born following K17-promoter-Flag-Nemo_C409R plasmid region pronuclear injection, were analyzed for the transgene presence in the genotype and a preliminar examination of their phenotype was performed. In particular, one mouse showed considerable coat defects if compared to Wild-type mice. This preliminar analysis suggests a possible influence of Nemo mutant over-expression in epidermis without immunodeficiency. Still, more microscopic studies to analyze hair subtypes, Guard, Awl and Zigzag (usually alterated inTabby mouse model), Immunohistochemistry experiments to detect epidermis restricted Nemo expression and sweat glands analysis, will follow. This and other transgene positive mice will be crossed with black mice C57BL6 to obtain at least two indipendent agouti lines to analyze. Theses mice will be used in EDA target genes detection through microarrays. Following, plasmid constructs containing other Nemo mutant forms (A282G and ZnF) might be studied by the same experimental approaches to prepare more transgenic model mice to compare to Nemo_C409R and Tabby mouse models.

Computational investigation of the Plasmodium falciparum fatty acid biosynthetic pathway toward the discovery of novel antimalarials

The structural peculiarities of a protein are related to its biological function. In the fatty acid elongation cycle, one small carrier protein shuttles and delivers the acyl intermediates from one enzyme to the other. The carrier has to recognize several enzymatic counterparts, specifically interact with each of them, and finally transiently deliver the carried substrate to the active site. Carry out such a complex game requires the players to be flexible and efficiently adapt their structure to the interacting protein or substrate. In a drug discovery effort, the structure-function relationships of a target system should be taken into account to optimistically interfere with its biological function. In this doctoral work, the essential role of structural plasticity in key steps of fatty acid biosynthesis in Plasmodium falciparum is investigated by means of molecular simulations. The key steps considered include the delivery of acyl substrates and the structural rearrangements of catalytic pockets upon ligand binding. The ground-level bases for carrier/enzyme recognition and interaction are also put forward. The structural features of the target have driven the selection of proper drug discovery tools, which captured the dynamics of biological processes and could allow the rational design of novel inhibitors. The model may be perspectively used for the identification of novel pathway-based antimalarial compounds.