Consequências da mora do segurador e o princípio neminem laedere no âmbito contratual

Relatório de atividade profissional de mestrado em Direito dos Contratos e da Empresa

O direito de livre revogação nos contratos celebrados à distância e fora do estabelecimento comercial

Dissertação de mestrado em Direito dos Contratos e da Empresa

A invalidade na coligação de contratos de crédito e venda para consumo

Dissertação de mestrado em Direito dos Contratos e da Empresa

Contributo para o estudo da tutela do promitente - comprador

Dissertação de mestrado em Direito Judiciário

O contrato para a assunção de encargos relativos a obras de urbanização (gerais e especiais): um contrato entre dois territórios jurídicos?

Dissertação de mestrado em Direito Administrativo

O impacto das redes socias na cessação do contrato de trabalho: liberdade de expressão versus justa causa de despedimento

Dissertação de mestrado em Direito e Informática

Tapping the wealth of microbial data in high-throughput metabolic model reconstruction

Genome-scale metabolic models are valuable tools in the metabolic engineering process, based on the ability of these models to integrate diverse sources of data to produce global predictions of organism behavior. At the most basic level, these models require only a genome sequence to construct, and once built, they may be used to predict essential genes, culture conditions, pathway utilization, and the modifications required to enhance a desired organism behavior. In this chapter, we address two key challenges associated with the reconstruction of metabolic models: (a) leveraging existing knowledge of microbiology, biochemistry, and available omics data to produce the best possible model; and (b) applying available tools and data to automate the reconstruction process. We consider these challenges as we progress through the model reconstruction process, beginning with genome assembly, and culminating in the integration of constraints to capture the impact of transcriptional regulation. We divide the reconstruction process into ten distinct steps: (1) genome assembly from sequenced reads; (2) automated structural and functional annotation; (3) phylogenetic tree-based curation of genome annotations; (4) assembly and standardization of biochemistry database; (5) genome-scale metabolic reconstruction; (6) generation of core metabolic model; (7) generation of biomass composition reaction; (8) completion of draft metabolic model; (9) curation of metabolic model; and (10) integration of regulatory constraints. Each of these ten steps is documented in detail.

Interpersonal and attitudinal factors in women's work role: Cross-cultural comparison

The last four decades have seen a dramatic increase in the number of women entering employment. This is particularly true in Europe and although more European women are working outside the home, the patterns of female employment have changed very little. An analysis of these patterns is presented. It was found that women continue to dominate specific fields, particularly teaching and service providing. An investigation of the interpersonal behavior differences among 117 American women from the southeastern United States in three work roles--homemakers, women in traditional occupations, and in nontraditional occupations--was conducted and the sex-role orientation, attitudes toward success, and demographic indicators were examined in order to consider the interplay of these variables with female occupational role and interpersonal behavior. A second focus of the study is on the cross-cultural comparison of the psychological and work variables in women of two different cultures: America and Portugal. Thirty-one Portuguese women were a preliminary comparison sample. The American results showed significant differences between groups in self-perceived interpersonal behaviors and the findings contradicted current stereotypes. The cross-cultural data, although preliminary, indicates differences between the countries in social desirability, aggressive and assertive behaviors, and in sex-role attitudes, which seem to reflect the different stages of economic development. (MKA)

Critical events in mechanically ventilated patients

Mechanical Ventilation is an artificial way to help a Patient to breathe. This procedure is used to support patients with respiratory diseases however in many cases it can provoke lung damages, Acute Respiratory Diseases or organ failure. With the goal to early detect possible patient breath problems a set of limit values was defined to some variables monitored by the ventilator (Average Ventilation Pressure, Compliance Dynamic, Flow, Peak, Plateau and Support Pressure, Positive end-expiratory pressure, Respiratory Rate) in order to create critical events. A critical event is verified when a patient has a value higher or lower than the normal range defined for a certain period of time. The values were defined after elaborate a literature review and meeting with physicians specialized in the area. This work uses data streaming and intelligent agents to process the values collected in real-time and classify them as critical or not. Real data provided by an Intensive Care Unit were used to design and test the solution. In this study it was possible to understand the importance of introduce critical events for Mechanically Ventilated Patients. In some cases a value is considered critical (can trigger an alarm) however it is a single event (instantaneous) and it has not a clinical significance for the patient. The introduction of critical events which crosses a range of values and a pre-defined duration contributes to improve the decision-making process by decreasing the number of false positives and having a better comprehension of the patient condition.

Optimization techniques to detect early ventilation extubation in intensive care units

The decision support models in intensive care units are developed to support medical staff in their decision making process. However, the optimization of these models is particularly difficult to apply due to dynamic, complex and multidisciplinary nature. Thus, there is a constant research and development of new algorithms capable of extracting knowledge from large volumes of data, in order to obtain better predictive results than the current algorithms. To test the optimization techniques a case study with real data provided by INTCare project was explored. This data is concerning to extubation cases. In this dataset, several models like Evolutionary Fuzzy Rule Learning, Lazy Learning, Decision Trees and many others were analysed in order to detect early extubation. The hydrids Decision Trees Genetic Algorithm, Supervised Classifier System and KNNAdaptive obtained the most accurate rate 93.2%, 93.1%, 92.97% respectively, thus showing their feasibility to work in a real environment.

The construction of professional identities in the contexts of work

This chapter identifies and analyzes some characteristics of working situations that are important in the construction of professional identities. It is claimed that professional identity presumes a dynamic process and is constructed and reconstructed in social situations and interactions. Work has a central place in the life of individuals and societies. The contexts of work are places par excellence for investment, expression, negotiation and recognition of the actor themselves and of others. They are, thus, situations for the attribution offeelings about work, ofrelational transactions, oflearning and production of professional know ledge, which are fundamental elements in the (re )construction of professional identity and which are emphasized here below.

Single molecule simulation of diffusion and enzyme kinetics

This work presents a molecular-scale agent-based model for the simulation of enzymatic reactions at experimentally measured concentrations. The model incorporates stochasticity and spatial dependence, using diffusing and reacting particles with physical dimensions. We developed strategies to adjust and validate the enzymatic rates and diffusion coefficients to the information required by the computational agents, i.e., collision efficiency, interaction logic between agents, the time scale associated with interactions (e.g., kinetics), and agent velocity. Also, we tested the impact of molecular location (a source of biological noise) in the speed at which the reactions take place. Simulations were conducted for experimental data on the 2-hydroxymuconate tautomerase (EC 5.3.2.6, UniProt ID Q01468) and the Steroid Delta-isomerase (EC 5.3.3.1, UniProt ID P07445). Obtained results demonstrate that our approach is in accordance to existing experimental data and long-term biophysical and biochemical assumptions.