Is it time for standards and a common data exchange format for digital image analysis?

Digital image analysis is at a crossroads. While the technology has made great strides over the past few decades, there is an urgent need for image analysis to inform the next wave of large scale tissue biomarker discovery studies in cancer. Drawing parallels from the growth of next generation sequencing, this presentation will consider the case for a common language or standard format for storing and communicating digital image analysis data. In this context, image analysis data comprises more than simply an image with markups and attached key-value pair metrics. The desire to objectively benchmark competing platforms or a push for data to be deposited to public repositories much like genomics data may drive the need for a standard that also encompasses granular, cell-by-cell data.

Eutrophication and some European waters of restricted exchange

Regions of Restricted Exchange (RREs) are an important feature of the European coastline. They are historically preferred sites for human settlement and aquaculture and their ecosystems, and consequent human use, may be at risk from eutrophication. The OAERRE project (EVK3-CT1999-0002 concerns ‘Oceanographic Applications to Eutrophication in Regions of Restricted Exchange’. It began in July 2000, and studies six sites. Four of these sites are fjords: Kongsfjorden (west coast of Spitzbergen); Gullmaren (Skagerrak coast of Sweden); Himmerfj.arden (Baltic coast of Sweden); and the Firth of Clyde (west coast of Scotland). Two are bays sheltered by sand bars: Golfe de Fos (French Mediterranean); and Ria Formosa (Portuguese Algarve). Together they exemplify a range of hydrographic and enrichment conditions. The project aims to understand the physical, biogeochemical and biological processes, and their interactions, that determine the trophic status of these coastal marine RRE through the development of simple screening models to define, predict and assess eutrophication. This paper introduces the sites and describes the component parts of a basic screening model and its application to each site using historical data. The model forms the starting point for the OAERRE project and views an RRE as a well-mixed box, exchanging with the sea at a daily rate E determined by physical processes, and converting nutrient to phytoplankton chlorophyll at a fixed yield q: It thus uses nutrient levels to estimate maximum biomass; these preliminary results are discussed in relation to objective criteria used to assess trophic status. The influence of factors such as grazing and vertical mixing on key parameters in the screening model are further studied using simulations of a complex‘research’ model for the Firth of Clyde. The future development of screening models in general and within OAERRE in particular is discussed. In addition, the paper looks ahead with a broad discussion of progress in the scientific understanding of eutrophication and the legal and socioeconomic issues that need to be taken into account in managing the trophic status of RREs.

Variabilidade genómica de Citrus tristeza virus e transformação genética de Citrus aurantium L. com vista à obtenção de resistência

Tese de dout., Biologia, Faculdade de Engenharia de Recursos Naturais, Univ. do Algarve, 2003

Estudo preliminar do efeito supressor de genes do Citrus tristeza virus (CTV) no silenciamento pós-transcripcional em Nicotiana benthamiana

Dissertação de mest., Engenharia Biológica, Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2011

Molecular characterization of Citrus tristeza virus isolates from Cyprus on the basis of the coat protein gene

Within the context of a program in Cyprus for the control of Citrus tristeza virus (CTV), the coat protein (CP) genes of 12 local isolates of the virus that induced different symptoms on host trees, were compared to those of known isolates. The CP genes were reverse-transcribed (RT) and amplified by polymerase chain reaction (PCR) and the resulting amplicons were cloned and sequenced. Nucleotide sequence analysis revealed no signs of geographic speciation. All the sequences obtained clustered close to those of previously known isolates of worldwide origin that are in five distinct groups. The nucleotide diversity was high compared to that found using a worldwide database of CP gene sequences. These data support the existence of different CTV introductions into Cyprus or an introduction from a location in which CTV is relatively diverse. Some of the isolates induced stem pitting on branches of grapefruit and sweet orange. Such isolates have not been noted often in the Mediterranean basin. They were close in CP sequence to isolate B249 from Venezuela, which induces stem pitting, and are of particular concern for the whole region.

First report of Citrus tristeza virus in the State Union of Serbia and Montenegro.

Citrus production in the State Union of Serbia and Montenegro has a strategic importance to the agricultural sector. Approximately 400,000 trees are now grown in the major citrus producing region, which is the Montenegrin Coastal Region. Satsuma mandarins and lemons grafted on Poncirus trifoliata are the most cultivated varieties. In December 2003, eight samples taken from the coastal region close to the towns of Bar and Ulcinj were analyzed using enzyme- linked immunosorbent assay (ELISA) with SP7 antibodies produced at Universidade do Algarve, Portugal (3). Further analysis was done using immunocapture-reverse transcription-polymerase chain reaction (IC-RT-PCR) targeting the entire coat protein (CP) gene (forward primer CTV1: 5(prime)- ATGGACGACGAAACAAAGAA-3(prime) and reverse primer CTV10: 5 (prime)-ATCAACGTGTGTTGAATTTCC-3(prime)). Using both techniques, seven of eight samples analyzed were found to be infected by Citrus tristeza virus (CTV), including samples from five trees that exhibited chlorosis, gummosis, and fruit deformation, and two trees that were symptomless.

Occurrence of stem-pitting strains of Citrus tristeza virus in Croatia

Citrus is grown in Croatia (approximately 1,500 ha of citrus groves) on the Dalmatian Coast and Islands between 42 and 43°30'N. The major species, Citrus unshiu Marc. (Satsuma mandarin), is grafted on trifoliate rootstock. The presence of Citrus tristeza virus (CTV) in Satsumas in the Neretva Valley Region was previously reported (3). During the course of a biomolecular characterization of isolates from Croatia, 15 budsticks were collected from field- infected, enzyme-linked immunosorbent assay (ELISA)-positive sources during the autumn of 2003 near Kaštela, Split, Metković (Neretva Valley), and on the island of Vis. Isolates were propagated by graft transmission to Madam Vinous sweet orange (SwO) and maintained in an insect-proof greenhouse at 21 to 33° C.

Ascorbic acid and flavanone glycosides in citrus: Relationship with antioxidant activity

The effects of cultivar and orchard on the content of ascorbic acid and flavanone glycosides as well as on the antioxidant activity of citrus juices were studied. Ascorbic acid and flavanone glycosides were determined using HPLC method. For antiradicalar activity evaluation, TAEC and ORAC methods were used. Citrus of 'Valencia late' from Faro and 'D. Joao' presented the highest levels of hesperidin in contrast to the citrus of 'Valencia late' from Silves with 0.4 mg/ml, a value closer to those of Navel oranges 'Navelate' and 'Lanelate'. Citrus of 'Valencia late' from Silves and 'D. Joao' presented the lowest levels of narirutin. 'Ortanique' and 'Encore' cultivars were poorer in ascorbic acid compared with the oranges. When the TEAC method was used for the determination of antioxidant activity, 'Valencia late' from Faro presented the best activity. A good relation was observed between antiradical activity measured through the TEAC method and the amount of ascorbic acids in samples. None relation was found between the levels of flavanones and antiradical activity. When the ORAC method was applied, the best activity was found for 'Navelate' and 'Encore' samples and practically none relation between this method and the amounts of ascorbic acid and flavanones was found.

Caraterização dos supressores p20 e p23 do Citrus tristeza virus e avaliação da possibilidade da sua inibição

No presente trabalho pretendeu-se caracterizar a capacidade supressora das proteínas p20 e p23 de diferentes grupos filogenéticos do CTV e o possível silenciamento da p23 de forma a ser incluída numa estratégia de proteção. A atividade supressora local da proteína p23 de todos os grupos filogenéticos foi caracterizada em Nicotiana benthamiana da linha 16C. Todas as proteínas testadas foram capaz de suprimir o silenciamento local, mas não o silenciamento a curta distância. A supressão local mais eficiente verificou-se para a p23 do Gp 5 e a menos eficiente para os isolados dos Gps 2 e M. Surpreendentemente, a p23 do Gp 5 aboliu completamente o silenciamento sistémico, sugerindo que existe uma relação entre a intensidade do silenciamento local e sistémico. A capacidade supressora local conjunta das proteínas p20 e p23 foi avaliada. A coexpressão de ambas as proteínas revelou atividade supressora mais forte comparada com a capacidade de cada proteína individual, mesmo quando inoculada com metade da densidade ótica, sugerindo a existência de sinergismo entre as proteínas p20 e p23. Para analisar as propriedades supressoras a longo prazo, as proteínas p20 e p23 foram inseridas no vetor viral TRV que assegurou a sua disseminação pela planta e expressão por um período mais alargado. Foram observados sintomas em N. benthamiana para todas as modalidades testadas, tais como, nanismo da planta, lesões necróticas severas nas folhas inoculadas e nas folhas novas ligeiros sintomas de mosaico e enrolamento. Contudo, sistemicamente não foram registadas diferenças na capacidade supressora das proteínas p20 e p23. A possibilidade para silenciar sistemicamente a proteína p23 quando incluída num genoma viral foi avaliada através do uso de plantas e enxertos transgénicos para a p23. A estratégia que envolve o uso de enxertos transgénicos parece indicar resultados promissores que conduzem ao silenciamento da p23, contudo, são resultados que devem ser encarados como preliminares.

Air-sea CO2 exchange in the Kuroshio and its importance to the global CO2 uptake

Senior thesis written for Oceanography 444

Monetary policy, exchange rates and stock prices in the Middle East region

A structural vector autoregressive model is employed to investigate the impact of monetary policy and real exchange rate shocks on the stock market performance of Kuwait, Oman, Saudi Arabia, Egypt and Jordan. In order to identify the structural shocks both short run and long run restrictions are applied. Unlike previous literature the contemporaneous interdependence between the financial variables are left unrestricted to give a more accurate depiction of the relationships. The heterogeneity of the results reflect the different monetary policy frameworks and stock market characteristics of these countries. Mainly, monetary policy and the real exchange rate shocks have a significant short run impact on the stock prices of the countries that apply a relatively more independent monetary policy and flexible exchange rates.

Volatility and VaR Forecasting in the Madrid Stock Exchange

This paper provides an empirical study to assess the forecasting performance of a wide range of models for predicting volatility and VaR in the Madrid Stock Exchange. The models performance was measured by using different loss functions and criteria. The results show that FIAPARCH processes capture and forecast more accurately the dynamics of IBEX-35 returns volatility. It is also observed that assuming a heavy-tailed distribution does not improve models ability for predicting volatility. However, when the aim is forecasting VaR, we find evidence of that the Student’s t FIAPARCH outperforms the models it nests the lower the target quantile.

New insights on integer-programming models for the kidney exchange problem

In recent years several countries have set up policies that allow exchange of kidneys between two or more incompatible patient–donor pairs. These policies lead to what is commonly known as kidney exchange programs. The underlying optimization problems can be formulated as integer programming models. Previously proposed models for kidney exchange programs have exponential numbers of constraints or variables, which makes them fairly difficult to solve when the problem size is large. In this work we propose two compact formulations for the problem, explain how these formulations can be adapted to address some problem variants, and provide results on the dominance of some models over others. Finally we present a systematic comparison between our models and two previously proposed ones via thorough computational analysis. Results show that compact formulations have advantages over non-compact ones when the problem size is large.