Molecular regulation of secondary gorwth: searching for SHORT-ROOT function in cork formation

The analysis of molecular regulators involved in controlling the maintenance and function of plant meristems has been the subject of many studies. Some master regulators of these processes have been identified in Arabidopsis benefiting from the array of tools available for genetic and molecular analysis in this model plant. However, aspects such as secondary growth that are more extensively observed in woody plants, have been less studied. Secondary growth is responsible for the enlargement of the plant stems and roots and results from the activity of the lateral (secondary) meristems, vascular cambium and cork cambium (phellogen), which produce two important renewable natural resources, wood and cork, respectively.(...)

Searching for return: How Google search engine query data can beat the market

Throughout the last years technologic improvements have enabled internet users to analyze and retrieve data regarding Internet searches. In several fields of study this data has been used. Some authors have been using search engine query data to forecast economic variables, to detect influenza areas or to demonstrate that it is possible to capture some patterns in stock markets indexes. In this paper one investment strategy is presented using Google Trends’ weekly query data from major global stock market indexes’ constituents. The results suggest that it is indeed possible to achieve higher Info Sharpe ratios, especially for the major European stock market indexes in comparison to those provided by a buy-and-hold strategy for the period considered.

Testes genéticos de venda direta ao consumidor : questões ético-legais no mercado português

RESUMO - As descobertas realizadas na área da genética levaram ao desenvolvimento de aplicações práticas, entre as quais se destacam os testes genéticos, cujas aplicações em saúde tiveram um impacto considerável na prática clínica. Uma das consequências deste desenvolvimento foi o nascimento de um novo mercado na área da saúde, o mercado dos Testes Genéticos de Venda Direta ao Consumidor (TGVDC). Este mercado está associado a questões do foro ético e legal muito específicas e importantes. Através da realização do presente trabalho de projeto pretende-se analisar e discutir as principais questões éticas e legais suscitadas pelos TGVDC, com maior enfoque no mercado português e na aplicação do enquadramento ético-legal em vigor em Portugal. No que toca à metodologia, no âmbito do presente trabalho de projeto, realizou-se uma análise da literatura científica e ético-legal do tema em estudo. Posteriormente realizou-se uma entrevista exploratória, a uma personalidade de reconhecido mérito na área da genética humana, a fim de compreender quais as principais questões suscitadas pelo mercado de TGVDC. Seguidamente realizou-se um mapeamento das entidades que operam no mercado de TGVDC, seguido de um inquérito a essas mesmas entidades, a fim de avaliar as características do serviço oferecido em Portugal e a aplicação do regime normativo ético-legal em vigor. Verificou-se, como era expectável, que o mercado português de TGVDC apresenta reduzida dimensão quando comparado com outros mercados a nível internacional, designadamente o mercado norte-americano que é, claramente, o mais desenvolvido nesta área. Os resultados obtidos apontaram ainda, no que toca à realidade portuguesa, para a pertinência de questões discutidas na literatura analisada. Em suma, apesar das limitações inerentes à realização de um projeto pioneiro e ambicioso num curto espaço de tempo, as conclusões deste trabalho permitem extrair conclusões importantes acerca do mercado português de TGVDC, sob a perspetiva ético-legal, bem como efetuar recomendações importantes para futuros estudos nesta área.

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.

Compensating variation and the young Portuguese emigrants: A study on how to keep our own

Emigration has been a very present word in Portugal. Due to the effects of the Economic Crisis and the Memorandum of Understanding policies, we have witnessed a significant yearly migration outflow of people searching for better conditions. This study aims to measure the factors affecting this flow as well as how much the probability of emigrating has evolved during the years bridging 2006 to 2012. I shall consider the decision of emigrating as Discrete Choice Random Utility maximization use a conditional Logit framework to model the probability choice for 31 OECD countries of destination. Moreover I will ascertain the compensating variation required such that the probability of choice in 2012 is adjusted back to 2007 values, keeping all other variables constant. I replicate this exercise using the unemployment rate instead of income. The most likely country of destination is Luxembourg throughout the years analyzed and the values obtained for the CV is of circa 1.700€ in terms of Income per capita and -11% in terms of the unemployment rate adjustment.

A caracterização do trabalho análogo ao escravo na jurisprudência dos tribunais brasileiros

Based on bibliographical research and the analysis of court rulings, this study investigates the characterization of slave-like labor by Brazilian courts. After the alteration of article 149 of the Brazilian Penal Code, introduced by Law nº 10.803/2003, which typifies the practice of contemporary slavery in Brazil, divergent characterizations of this practice remain. The courts currently employ the broadest concept of contemporary slave labor, in which the crime is characterized by the engagement in one of the following conducts established as a criminal offense: labor with the restriction of freedom, submission to exhaustive working conditions, degrading working conditions, and debt bondage. The engagement in one of the above is therefore enough to constitute a crime. Contemporary slave labor in Brazil is not characterized only by the restriction of the worker’s freedom, as in the case of forced labor or debt bondage, but also through the submission of the workers to situations that offend their human dignity. Individual freedom and the dignity of the human person, fundamental tenets of the Brazilian Federal Constitution, are juridical resources safeguarded by law. Contemporary slavery is not limited to the mere infringement of labor laws, but represents a severe violation of the human rights of the workers involved.