Implementaci??n del programa Erasmus+ en el IES Santiago Ap??stol

Se describe una experiencia llevada a cabo en el IES Santiago Apostol (Almendralejo, Badajoz) para facilitar la implementaci??n del programa Erasmus+ en Formaci??n Profesional. Se trabajan principalmente las competencias idiom??ticas en ingl??s y portugu??s de los alumnos elaborando un vocabulario t??cnico. Tambi??n se elabor?? una plataforma Moodle y un blog para favorecer la comunicaci??n con los alumnos que estaban en la estancia formativa

El Proyecto Ling????stico de Centro en el IES Santiago Ap??stol de Almendralejo

Resumen basado en el de la publicaci??n

Liquid AP-UV-MALDI enables stable ion yields of multiply charged peptide and protein ions for sensitive analysis by mass spectrometry

In biological mass spectrometry (MS), two ionization techniques are predominantly employed for the analysis of larger biomolecules, such as polypeptides. These are nano-electrospray ionization [1, 2] (nanoESI) and matrix-assisted laser desorption/ionization [3, 4] (MALDI). Both techniques are considered to be “soft”, allowing the desorption and ionization of intact molecular analyte species and thus their successful mass-spectrometric analysis. One of the main differences between these two ionization techniques lies in their ability to produce multiply charged ions. MALDI typically generates singly charged peptide ions whereas nanoESI easily provides multiply charged ions, even for peptides as low as 1000 Da in mass. The production of highly charged ions is desirable as this allows the use of mass analyzers, such as ion traps (including orbitraps) and hybrid quadrupole instruments, which typically offer only a limited m/z range (< 2000–4000). It also enables more informative fragmentation spectra using techniques such as collisioninduced dissociation (CID) and electron capture/transfer dissociation (ECD/ETD) in combination with tandem MS (MS/MS). [5, 6] Thus, there is a clear advantage of using ESI in research areas where peptide sequencing, or in general, the structural elucidation of biomolecules by MS/MS is required. Nonetheless, MALDI with its higher tolerance to contaminants and additives, ease-of-operation, potential for highspeed and automated sample preparation and analysis as well as its MS imaging capabilities makes it an ionization technique that can cover bioanalytical areas for which ESI is less suitable. [7, 8] If these strengths could be combined with the analytical power of multiply charged ions, new instrumental configurations and large-scale proteomic analyses based on MALDI MS(/MS) would become feasible.

AP-UV-MALDI mit flüssigen Matrizes: stabile Ionenausbeuten von mehrfach geladenen Peptid- und Proteinionen für die empfindliche Massenspektrometrie

In der biologischen Massenspektrometrie (MS) werden überwiegend zwei Ionisationstechniken für die Analyse von grçßeren Biomolekfürlen wie Polypeptiden eingesetzt. Dies sind die Nano-Elektrospray-Ionisation[1,2] (nanoESI) und die matrixunterstfürtzte Laserdesorption/-ionisation[3, 4] (MALDI). Beide Techniken werden als „sanft“ bezeichnet, weil sie die Desorption und Ionisation von intakten Analytmolekfürlen und damit ihre erfolgreiche massenspektrometrische Analyse erlauben. Einer der wichtigsten Unterschiede zwischen diesen beiden Ionisationstechniken liegt in ihrer F�higkeit, mehrfach geladene Ionen zu erzeugen. MALDI erzeugt typischerweise einfach geladene Peptidionen, w�hrend nano- ESI leicht mehrfach geladene Ionen produziert, sogar für Peptide mit einer Masse von weniger als 1000 Da. Die Erzeugung von hoch geladenen Ionen ist wünschenswert, da dies die Verwendung von Massenanalysatoren wie Ionenfallen (inkl. Orbitraps) und Hybrid-Quadrupolinstrumenten ermçglicht, die typischerweise nur einen begrenzten m/z- Bereich (<2000–4000) bieten. Hohe Ladungszust�nde ermçglichen auch die Aufnahme von informativeren Fragmentionenspektren, wenn Methoden wie die kollisionsinduzierte Dissoziation (CID), die Elektroneneinfang-Dissoziation (ECD) und die Elektronentransfer-Dissoziation (ETD) in Kombination mit der Tandem-MS (MS/MS) verwendet werden.

Investigation and optimization of parameters affecting the multiply charged ion yield in AP-MALDI MS

Liquid matrix-assisted laser desorption/ionization (MALDI) allows the generation of predominantly multiply charged ions in atmospheric pressure (AP) MALDI ion sources for mass spectrometry (MS) analysis. The charge state distribution of the generated ions and the efficiency of the ion source in generating such ions crucially depend on the desolvation regime of the MALDI plume after desorption in the AP-tovacuum inlet. Both high temperature and a flow regime with increased residence time of the desorbed plume in the desolvation region promote the generation of multiply charged ions. Without such measures the application of an electric ion extraction field significantly increases the ion signal intensity of singly charged species while the detection of multiply charged species is less dependent on the extraction field. In general, optimization of high temperature application facilitates the predominant formation and detection of multiply charged compared to singly charged ion species. In this study an experimental setup and optimization strategy is described for liquid AP-MALDI MS which improves the ionization effi- ciency of selected ion species up to 14 times. In combination with ion mobility separation, the method allows the detection of multiply charged peptide and protein ions for analyte solution concentrations as low as 2 fmol/lL (0.5 lL, i.e. 1 fmol, deposited on the target) with very low sample consumption in the low nL-range.

Separação caulinita-dióxido de titânio por floculação seletiva : mecanismo, seletividade e aplicação no cualim do Rio Jari (AP)

No presente trabalho, é investigado um método alternativo para remover as impurezas coloridas contidas no caulim ultrafino do Rio Jari (AP), mediante a adsorção seletiva com polímeros aquosolúveis. Apesar desse método (floculação seletiva) ser considerado inovador no tratamento de minérios ultrafinos, problemas como a alta sensibilidade do meio e o baixo rendimento, freqüentemente comprometem a sua aplicação em sistemas naturais. Nesse contexto, o presente trabalho enfatiza questões envolvendo a seletividade do processo, bem como os mecanismos e os fenômenos envolvidos na adsorção seletiva de uma das fases minerais, A caracterização do minério define o tipo de contaminante (anatásio) e as suas relações de contato com a caulinita (ausência de adesão física). Tal informação é útil na avaliação do rendimento ativo do processo. A eficiência na remoção do anatásio, frente ao ambiente específico do meio e em combinação com a intensidade de carga aniônica do polímero floculante, define a condição mais favorável em termos de adsorção e seletividade. Tal condição prevê a utilização de poliacrilamidas fracamente aniônicas em meio alcalino (pH = 10). o aumento da concentração de hexametafosfato-Na (dispersante de atividade eletrostática) provoca uma redução nos níveis de adsorção da caulinita, pelo aumento da sua carga superficial. A seletividade do processo atinge o seu nível máximo com a adição de poliacrilato-Na (dispersante que combina a atividade eletrostática com o efeito estérico). Nessas condições, remoções consideráveis de anatásio são obtidas, fazendo com que o teor de Ti02 contido no caulim caia de 1,3% para 0,2% e com que a recuperação permaneça em níveis satisfatórios (57%). o nível de adição química do meio também condiciona o grau de consistência dos flocos gerados, aumentando a cinética de sedimentação. Nos ambientes considerados altamente seletivos, a sedimentação dos flocos chega a atingir uma velocidade de 18 mm/minuto em polpa com 30% de sólidos.

Extração de feições em dados imagem com alta dimensão por otimização da distância de Bhattacharyya em um classificador de decisão em árvore

Neste trabalho é investigada uma abordagem para extração de feições baseada na otimização da distância de Bhattacharyya em um classificador hierárquico de estrutura binária. O objetivo é mitigar os efeitos do fenômeno de Hughes na classificação de dados imagem hiper-espectrais. A utilização de um classificador em múltiplo-estágio, analisando um sub-conjunto de classes em cada etapa ao invés do conjunto total, permite modos mais eficientes para extrair as feições mais adequadas em cada etapa do procedimento de classificação. Em uma abordagem de árvore binária, somente duas classes são consideradas em cada etapa, permitindo a implementação da distância de Bhattacharyya como um critério para extração de feições em cada nó da árvore. Experimentos foram realizados utilizando dados imagem do sensor AVIRIS. A performance da metodologia proposta é comparada com métodos tradicionais para extração e seleção de feições.

Implementação de classificador de tarefas mentais baseado em EEG

BARBOSA, André F. ; SOUZA, Bryan C. ; PEREIRA JUNIOR, Antônio ; MEDEIROS, Adelardo A. D.de, . Implementação de Classificador de Tarefas Mentais Baseado em EEG. In: CONGRESSO BRASILEIRO DE REDES NEURAIS, 9., 2009, Ouro Preto, MG. Anais... Ouro Preto, MG, 2009

Análise filogenética e funcional de dois genes de reparo homólogos a AP endonuclease em cana-de-açúcar: ScARP1 e ScARP3

The genome of all organisms constantly suffers the influence of mutagenic factors from endogenous and/or exogenous origin, which may result in damage for the genome. In order to keep the genome integrity there are different DNA repair pathway to detect and correct these lesions. In relation to the plants as being sessile organisms, they are exposed to this damage frequently. The Base Excision DNA Repair (BER) is responsible to detect and repair oxidative lesions. Previous work in sugarcane identified two sequences that were homologous to Arabidopsis thaliana: ScARP1 ScARP3. These two sequences were homologous to AP endonuclease from BER pathway. Then, the aim of this work was to characterize these two sequence using different approaches: phylogenetic analysis, in silico protein organelle localization and by Nicotiana tabacum transgenic plants with overexpression cassette. The in silico data obtained showed a duplication of this sequence in sugarcane and Poaceae probably by a WGD event. Furthermore, in silico analysis showed a new localization in nuclei for ScARP1 protein. The data obtained with transgenic plants showed a change in development and morphology. Transgenic plants had slow development when compared to plants not transformed. Then, these results allowed us to understand better the potential role of this sequence in sugarcane and in plants in general. More work is important to be done in order to confirm the protein localization and protein characterization for ScARP1 and ScARP3

STREAM-AP: um processo para sistematizar a escolha de padrões arquiteturais baseado em requisitos não-funcionais

The importance of non-functional requirements for computer systems is increasing. Satisfying these requirements requires special attention to the software architecture, since an unsuitable architecture introduces greater complexity in addition to the intrinsic complexity of the system. Some studies have shown that, despite requirements engineering and software architecture activities act on different aspects of development, they must be performed iteratively and intertwined to produce satisfactory software systems. The STREAM process presents a systematic approach to reduce the gap between requirements and architecture development, emphasizing the functional requirements, but using the non-functional requirements in an ad hoc way. However, non-functional requirements typically influence the system as a whole. Thus, the STREAM uses Architectural Patterns to refine the software architecture. These patterns are chosen by using non-functional requirements in an ad hoc way. This master thesis presents a process to improve STREAM in making the choice of architectural patterns systematic by using non-functional requirements, in order to guide the refinement of a software architecture

Classificador neural híbrido para imagens obtidas por sensoriamento remoto

Remote sensing is one technology of extreme importance, allowing capture of data from the Earth's surface that are used with various purposes, including, environmental monitoring, tracking usage of natural resources, geological prospecting and monitoring of disasters. One of the main applications of remote sensing is the generation of thematic maps and subsequent survey of areas from images generated by orbital or sub-orbital sensors. Pattern classification methods are used in the implementation of computational routines to automate this activity. Artificial neural networks present themselves as viable alternatives to traditional statistical classifiers, mainly for applications whose data show high dimensionality as those from hyperspectral sensors. This work main goal is to develop a classiffier based on neural networks radial basis function and Growing Neural Gas, which presents some advantages over using individual neural networks. The main idea is to use Growing Neural Gas's incremental characteristics to determine the radial basis function network's quantity and choice of centers in order to obtain a highly effective classiffier. To demonstrate the performance of the classiffier three studies case are presented along with the results.

Detecção e diagnóstico de falhas não-supervisionados baseados em estimativa de densidade recursiva e classificador fuzzy auto-evolutivo

In this work, we propose a two-stage algorithm for real-time fault detection and identification of industrial plants. Our proposal is based on the analysis of selected features using recursive density estimation and a new evolving classifier algorithm. More specifically, the proposed approach for the detection stage is based on the concept of density in the data space, which is not the same as probability density function, but is a very useful measure for abnormality/outliers detection. This density can be expressed by a Cauchy function and can be calculated recursively, which makes it memory and computational power efficient and, therefore, suitable for on-line applications. The identification/diagnosis stage is based on a self-developing (evolving) fuzzy rule-based classifier system proposed in this work, called AutoClass. An important property of AutoClass is that it can start learning from scratch". Not only do the fuzzy rules not need to be prespecified, but neither do the number of classes for AutoClass (the number may grow, with new class labels being added by the on-line learning process), in a fully unsupervised manner. In the event that an initial rule base exists, AutoClass can evolve/develop it further based on the newly arrived faulty state data. In order to validate our proposal, we present experimental results from a level control didactic process, where control and error signals are used as features for the fault detection and identification systems, but the approach is generic and the number of features can be significant due to the computationally lean methodology, since covariance or more complex calculations, as well as storage of old data, are not required. The obtained results are significantly better than the traditional approaches used for comparison

Caracterização de dois cDNAs homológos e uma AP endonuclease em cana-de-açúcar

The genome of all organisms is subject to injuries that can be caused by endogenous and environmental factors. If these lesions are not corrected, it can be fixed generating a mutation which can be lethal to the organisms. In order to prevent this, there are different DNA repair mechanisms. These mechanisms are well known in bacteria, yeast, human, but not in plants. Two plant models Oriza sativa and Arabidopsis thaliana had the genome sequenced and due to this some DNA repair genes have been characterized. The aim of this work is to characterized two sugarcane cDNAs that had homology to AP endonuclease: scARP1 and scARP3. In silico has been done with these two sequences and other from plants. It has been observed domain conservation on these sequences, but the cystein at 65 position that is a characteristic from the redox domain in APE1 protein was not so conservated in plants. Phylogenetic relationship showed two branches, one branch with dicots and monocots sequence and the other branch with only monocots sequences. Another approach in order to characterized these two cDNAs was to construct overexpression cassettes (sense and antisense orientation) using the 35S promoter. After that, these cassettes were transferred to the binary vector pPZP211. Furthermore, previously in the laboratory was obtained a plant from nicotiana tabacum containing the overexpression cassette in anti-sense orientation. It has been observed that this plant had a slow development and problems in setting seeds. After some manual crossing, some seeds were obtained (T2) and it was analyzed the T2 segregation. The third approach used in this work was to clone the promoter region from these two cDNAs by PCR walking. The sequences obtained were analyzed using the program PLANTCARE. It was observed in these sequences some motives that may be related to oxidative stress response