Metals in proteins from sulphate-reducing bacteria: adenylate kinase and ATP sulfurylase. Proteins containing cobalt, zinc, iron (II) ions

A Thesis submitted at the Faculty Science and Technology of the New University of Lisbon for a degree in Doctor of Philosophy in Biochemistry with specialization in Physical Biochemistry

Limit Cycle Prediction of Systems with Fractional Controllers and Backlash

This article investigates the limit cycle (LC) prediction of systems with backlash by means of the describing function (DF) when using discrete fractional-order (FO) algorithms. The DF is an approximate method that gives good estimates of LCs. The implementation of FO controllers requires the use of rational approximations, but such realizations produce distinct dynamic types of behavior. This study analyzes the accuracy in the prediction of LCs, namely their amplitude and frequency, when using several different algorithms. To illustrate this problem we use FO-PID algorithms in the control of systems with backlash.

Using data mining with time series data in short-term stocks prediction

Data Mining (DM) methods are being increasingly used in prediction with time series data, in addition to traditional statistical approaches. This paper presents a literature review of the use of DM with time series data, focusing on short- time stocks prediction. This is an area that has been attracting a great deal of attention from researchers in the field. The main contribution of this paper is to provide an outline of the use of DM with time series data, using mainly examples related with short-term stocks prediction. This is important to a better understanding of the field. Some of the main trends and open issues will also be introduced.

Cobalt-, zinc- and iron-bound forms of adenylate kinase (AK) from the sulfate-reducing bacterium Desulfovibrio gigas: purification, crystallization and preliminary X-ray diffraction analysis

Acta Crystallogr Sect F Struct Biol Cryst Commun. 2009 Sep 1;65(Pt 9):926-9

Development and validation of a risk model for prediction of hazardous alcohol consumption in general practice attendees : the PredictAL study

Background: Little is known about the risk of progression to hazardous alcohol use in people currently drinking at safe limits. We aimed to develop a prediction model (predictAL) for the development of hazardous drinking in safe drinkers. Methods: A prospective cohort study of adult general practice attendees in six European countries and Chile followed up over 6 months. We recruited 10,045 attendees between April 2003 to February 2005. 6193 European and 2462 Chilean attendees recorded AUDIT scores below 8 in men and 5 in women at recruitment and were used in modelling risk. 38 risk factors were measured to construct a risk model for the development of hazardous drinking using stepwise logistic regression. The model was corrected for over fitting and tested in an external population. The main outcome was hazardous drinking defined by an AUDIT score >= 8 in men and >= 5 in women. Results: 69.0% of attendees were recruited, of whom 89.5% participated again after six months. The risk factors in the final predictAL model were sex, age, country, baseline AUDIT score, panic syndrome and lifetime alcohol problem. The predictAL model's average c-index across all six European countries was 0.839 (95% CI 0.805, 0.873). The Hedge's g effect size for the difference in log odds of predicted probability between safe drinkers in Europe who subsequently developed hazardous alcohol use and those who did not was 1.38 (95% CI 1.25, 1.51). External validation of the algorithm in Chilean safe drinkers resulted in a c-index of 0.781 (95% CI 0.717, 0.846) and Hedge's g of 0.68 (95% CI 0.57, 0.78). Conclusions: The predictAL risk model for development of hazardous consumption in safe drinkers compares favourably with risk algorithms for disorders in other medical settings and can be a useful first step in prevention of alcohol misuse.

Adhesive selection for single lap bonded joints: Experimentation and advanced techniques for strength prediction

The integrity of multi-component structures is usually determined by their unions. Adhesive-bonding is often used over traditional methods because of the reduction of stress concentrations, reduced weight penalty, and easy manufacturing. Commercial adhesives range from strong and brittle (e.g., Araldite® AV138) to less strong and ductile (e.g., Araldite® 2015). A new family of polyurethane adhesives combines high strength and ductility (e.g., Sikaforce® 7888). In this work, the performance of the three above-mentioned adhesives was tested in single lap joints with varying values of overlap length (LO). The experimental work carried out is accompanied by a detailed numerical analysis by finite elements, either based on cohesive zone models (CZM) or the extended finite element method (XFEM). This procedure enabled detailing the performance of these predictive techniques applied to bonded joints. Moreover, it was possible to evaluate which family of adhesives is more suited for each joint geometry. CZM revealed to be highly accurate, except for largely ductile adhesives, although this could be circumvented with a different cohesive law. XFEM is not the most suited technique for mixed-mode damage growth, but a rough prediction was achieved.

Sepsis Mortality Prediction Based on Predisposition, Infection and Response

OBJECTIVE: To empirically test, based on a large multicenter, multinational database, whether a modified PIRO (predisposition, insult, response, and organ dysfunction) concept could be applied to predict mortality in patients with infection and sepsis. DESIGN: Substudy of a multicenter multinational cohort study (SAPS 3). PATIENTS: A total of 2,628 patients with signs of infection or sepsis who stayed in the ICU for >48 h. Three boxes of variables were defined, according to the PIRO concept. Box 1 (Predisposition) contained information about the patient's condition before ICU admission. Box 2 (Injury) contained information about the infection at ICU admission. Box 3 (Response) was defined as the response to the infection, expressed as a Sequential Organ Failure Assessment score after 48 h. INTERVENTIONS: None. MAIN MEASUREMENTS AND RESULTS: Most of the infections were community acquired (59.6%); 32.5% were hospital acquired. The median age of the patients was 65 (50-75) years, and 41.1% were female. About 22% (n=576) of the patients presented with infection only, 36.3% (n=953) with signs of sepsis, 23.6% (n=619) with severe sepsis, and 18.3% (n=480) with septic shock. Hospital mortality was 40.6% overall, greater in those with septic shock (52.5%) than in those with infection (34.7%). Several factors related to predisposition, infection and response were associated with hospital mortality. CONCLUSION: The proposed three-level system, by using objectively defined criteria for risk of mortality in sepsis, could be used by physicians to stratify patients at ICU admission or shortly thereafter, contributing to a better selection of management according to the risk of death.

Carotid Intima-Media Thickness and Carotid Plaques Improves Prediction of Obstructive Angiographic Coronary Artery Disease in Women

Does carotid intima-media thickness (cIMT), a surrogate marker of cardiovascular events, have predictive incremental value over established risk factors for stable coronary artery disease (CAD)? Prospective study of 300 patients, with suspected stable CAD, admitted for an elective coronary angiography and carotid ultrasound. The CAD patients had a higher cIMT, which showed a modest predictive accuracy for CAD (area under the receiver-operating characteristic curve 0.638, 95% confidence interval 0.576-0.701, P < .001). The cIMT was an independent predictor of CAD, together with age, gender, and diabetes. C-statistic for CAD prediction by traditional risk factors was not significantly different from a model that included cIMT, carotid plaque presence, or both. However, in women, it was significantly increased by the addition of cIMT or carotid plaque presence. Although cIMT cannot be used as a sole indicator of CAD, it should be considered in the panel of investigations that is requested, particularly in women who are candidates for coronary angiography.

Crystal structure of the zinc-, cobalt-, and iron-containing adenylate kinase from Desulfovibrio gigas: a novel metal-containing adenylate kinase from Gram-negative bacteria

J Biol Inorg Chem (2011) 16:51–61 DOI 10.1007/s00775-010-0700-8

Novel FGFR1 Mutations in Kallmann Syndrome and Normosmic Idiopathic Hypogonadotropic Hypogonadism: Evidence for the Involvement of an Alternatively Spliced Isoform

OBJECTIVE: To determine the prevalence of fibroblast growth factor receptor 1 (FGFR1) mutations and their predicted functional consequences in patients with idiopathic hypogonadotropic hypogonadism (IHH). DESIGN: Cross-sectional study. SETTING: Multicentric. PATIENT(S): Fifty unrelated patients with IHH (21 with Kallmann syndrome and 29 with normosmic IHH). INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Patients were screened for mutations in FGFR1. The functional consequences of mutations were predicted by in silico structural and conservation analysis. RESULT(S): Heterozygous FGFR1 mutations were identified in six (12%) kindreds. These consisted of frameshift mutations (p.Pro33-Alafs*17 and p.Tyr654*) and missense mutations in the signal peptide (p.Trp4Cys), in the D1 extracellular domain (p.Ser96Cys) and in the cytoplasmic tyrosine kinase domain (p.Met719Val). A missense mutation was identified in the alternatively spliced exon 8A (p.Ala353Thr) that exclusively affects the D3 extracellular domain of FGFR1 isoform IIIb. Structure-based and sequence-based prediction methods and the absence of these variants in 200 normal controls were all consistent with a critical role for the mutations in the activity of the receptor. Oligogenic inheritance (FGFR1/CHD7/PROKR2) was found in one patient. CONCLUSION(S): Two FGFR1 isoforms, IIIb and IIIc, result from alternative splicing of exons 8A and 8B, respectively. Loss-of-function of isoform IIIc is a cause of IHH, whereas isoform IIIb is thought to be redundant. Ours is the first report of normosmic IHH associated with a mutation in the alternatively spliced exon 8A and suggests that this disorder can be caused by defects in either of the two alternatively spliced FGFR1 isoforms.

Pyruvate kinase and glucose-6-phosphate dehydrogenase deficies and their association with malaria - population genetics and proteomic studies

A malária é reconhecida como uma das principais forças selectivas a actuar na história recente no genoma humano. Inúmeros polimorfismos genéticos têm sido descritos como protectores contra a gravidade da malária, como o alelo HbS (designado de traço falciforme) e o alelo G6PD A- (associado à deficiência de G6PD). Mais recentemente, também a deficiência de PK foi associada com a protecção contra a malária. Evidências desta associação foram obtidas em estudos com modelos de roedor e estudos in vitro utilizando GV humanos deficientes em PK. Até à data, não foram obtidos dados em populações humanas que revelem esta associação: ainda não foi identificada uma variante de PK com uma prevalência elevada em regiões endémicas de malária e não foram identificadas marcas de selecção na região do gene que codifica para a PK (gene PKLR). Além disso, os mecanismos subjacentes à protecção contra a malária por deficiências enzimáticas dos GV não estão bem esclarecidos. Assim, os objectivos do presente estudo foram: investigar os polimorfismos genéticos humanos com associação com a malária em Cabo Verde; pesquisar marcas de selecção da malária na região do gene PKLR em populações Africanas; determinar a frequência da deficiência em PK e identificar uma eventual variante da enzima que possa estar sob selecção positiva em regiões endémicas de malária; avaliar o efeito das duas deficiências enzimáticas (PK e G6PD) na invasão e maturação do parasita em culturas in vitro de Plasmodium usando GV normais e deficientes; e analisar o perfil proteómico de GV infectados e não infectados, normais e com deficiência (em PK e G6PD), bem como de parasitas isolados de GV tanto deficientes como normais. Em Cabo Verde (área epidémica), não foram identificadas marcas de selecção pela malária, através da análise dos vários polimorfismos. No entanto, quando a análise foi realizada em dois países endémicos (Angola e Moçambique), foram detectadas várias marcas de selecção: a genotipagem de microssatélites (STRs) e polimorfismos de base única (SNPs) localizados na vizinhança do gene PKLR revelou uma diferenciação consideravelmente maior entre as populações Africana e Europeia (Portuguesa), do que a diferenciação determinada aquando da utilização de marcadores genéticos neutros. Além disso, uma região genómica de maior amplitude apresentou um Desequilíbrio de Ligação (LD) significativo no grupo de malária não grave (e não no grupo de malária grave), sugerindo que a malária poderá estar a exercer pressão selectiva sobre a região do genoma humano que envolve o gene PKLR. No estudo que incidiu na determinação da prevalência da deficiência de PK no continente Africano (realizado em Moçambique), esta revelou-se elevada - 4,1% - sendo o valor mais elevado descrito até ao momento a nível mundial para esta enzimopatia. Na pesquisa de mutações que pudessem estar na causa deste fenótipo (baixa actividade de PK), foi identificada uma mutação não sinónima 829G>A (277Glu>Lys), significativamente associada à baixa actividade enzimática. Esta mutação foi também identificada em Angola, São Tomé e Príncipe e Guiné Equatorial, onde a frequência de portadores heterozigóticos foi entre 2,6 e 6,7% (valores que se encontram entre os mais elevados descritos globalmente para mutações associadas à deficiência em PK). Não foi possível concluir acerca da associação entre a deficiência de PK e o grau de severidade da malária e da associação entre o alelo 829A e a mesma, devido ao baixo número de amostras. Os resultados dos ensaios de invasão/maturação do parasita sugeriram que, nos GV com deficiência de PK ou G6PD, a invasão (onde está envolvida a membrana do GV hospedeiro e o complexo apical do parasita) é mais relevante para a eventual protecção contra a malária do que a maturação. Os resultados da análise proteómica revelaram respostas diferentes por parte do parasita nas duas condições de crescimento (GV com deficiência de PK e GV com deficiência de G6PD). Esta resposta parece ser proporcional à gravidade da deficiência enzimática. Nos parasitas que cresceram em GV deficientes em G6PD (provenientes de um indivíduo assintomático), a principal alteração observada (relativamente às condições normais) foi o aumento do número de proteínas de choque térmico e chaperones, mostrando que os parasitas responderam às condições de stress oxidativo, aumentando a expressão de moléculas de protecção. Nos parasitas que cresceram em condições de deficit de PK (GV de indivíduo com crises hemolíticas regulares, dependente de transfusões sanguíneas), houve alteração da expressão de um maior número de proteínas (relativamente ao observado em condições normais), em que a maioria apresentou uma repressão da expressão. Os processos biológicos mais representados nesta resposta do parasita foram a digestão da hemoglobina e a troca de proteínas entre hospedeiro e parasita/remodelação da superfície do GV. Além disso, uma elevada percentagem destas proteínas com expressão alterada está relacionada com as fendas de Maurer, que desempenham um papel importante na patologia da infecção malárica. É colocada a hipótese de que a protecção contra a malária em GV deficientes em PK está relacionada com o processo de remodelação da membrana dos GV pelo parasita, o que pode condicionar a invasão por novos parasitas e a própria virulência da malária. Os resultados da análise do proteoma dos GV contribuirão para confirmar esta hipótese.

Functional and structural studies of two enzymes: membrane bound kinase and Z-DNA/Z-RNA-binding protein

Dissertação para obtenção do Grau de Doutor em Sistemas de Bioengenharia

High or low initial setting price?: Initial setting price as prediction of intention to bid in on line auctions

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Correction of the anisotropy in resistivity: application to pore pressure prediction

Dissertação para obtenção do Grau de Mestre em Engenharia Geológica (Georrecursos)

Creation of a web application for smart park system and parking prediction study for system integration

In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.