NMR assignment of the apo-form of a Desulfovibrio gigas protein containing a novel Mo–Cu cluster

Biomol NMR Assign (2007) 1:81–83 DOI 10.1007/s12104-007-9022-3

Incorporation of either molybdenum or tungsten into formate dehydrogenase from Desulfovibrio alaskensis NCIMB 13491; EPR assignment of the proximal iron-sulfur cluster to the pterin cofactor in formate dehydrogenases from sulfate-reducing bacteria

J Biol Inorg Chem (2004) 9: 145–151 DOI 10.1007/s00775-003-0506-z

Laboratório remoto de automação industrial (Lab-RAI)

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e Computadores

Nova School of Business & Economics: Sustainability report

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

Management consulting lab

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

Management Consulting Lab: Project TAP

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

Management consulting lab experience: ANA

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

Children consumer behaviour field lab: The Nestum consumer

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

Fate of nitrogen in bioreactor landfills: lab-scale in situ aeration in well decomposed MSW

Dissertação para obtenção do Grau de Mestre em Engenharia do ambiente, perfil de engenharia sanitária

Lab on paper: biossensores colorimétricos de papel para a detecção de membros do complexo Mycobacterium tuberculosis

Este trabalho foi realizado no âmbito do projecto Lab on Paper, desenvolvido no Centro de Investigação de Materiais (CENIMAT) da Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa (FCT - UNL)

Management consulting lab- Galp social media

This study consists of the reflection on a consultancy project developed by four students and one project manager from NOVA SBE. In attempting to assist Galp Energia structure the operationalization of an entry into Social Media, we were confronted with first-time challenges in real-life highly demanding workplace situations. The following considerations attempt to defuse the problem-solving mindset of the practical experience from the methodological development and learning experience extracted from the consulting line of work

Management consulting lab-Portugal Telecom

This paper presents the main developments and learning taken from the Management Consulting Lab at Portugal Telecom. The main purpose of this consulting project was to assess the potential of a specific technology and how could Portugal Telecom maximize the value created. By identifying and evaluating all the business sectors where this technology would have impact, the team was able to address the initial hypotheses stated by the client regarding the importance of the technology and elaborate a set of recommendations based on the main findings obtained through field as well as desk research.

A public transport bus assignment problem: parallel metaheuristics assessment

Combinatorial Optimization Problems occur in a wide variety of contexts and generally are NP-hard problems. At a corporate level solving this problems is of great importance since they contribute to the optimization of operational costs. In this thesis we propose to solve the Public Transport Bus Assignment problem considering an heterogeneous fleet and line exchanges, a variant of the Multi-Depot Vehicle Scheduling Problem in which additional constraints are enforced to model a real life scenario. The number of constraints involved and the large number of variables makes impracticable solving to optimality using complete search techniques. Therefore, we explore metaheuristics, that sacrifice optimality to produce solutions in feasible time. More concretely, we focus on the development of algorithms based on a sophisticated metaheuristic, Ant-Colony Optimization (ACO), which is based on a stochastic learning mechanism. For complex problems with a considerable number of constraints, sophisticated metaheuristics may fail to produce quality solutions in a reasonable amount of time. Thus, we developed parallel shared-memory (SM) synchronous ACO algorithms, however, synchronism originates the straggler problem. Therefore, we proposed three SM asynchronous algorithms that break the original algorithm semantics and differ on the degree of concurrency allowed while manipulating the learned information. Our results show that our sequential ACO algorithms produced better solutions than a Restarts metaheuristic, the ACO algorithms were able to learn and better solutions were achieved by increasing the amount of cooperation (number of search agents). Regarding parallel algorithms, our asynchronous ACO algorithms outperformed synchronous ones in terms of speedup and solution quality, achieving speedups of 17.6x. The cooperation scheme imposed by asynchronism also achieved a better learning rate than the original one.

The isolation and characterization of cytochrome c nitrite reductase subunits (NrfA and NrfH) from Desulfovibrio desulfuricans ATCC 27774

Eur. J. Biochem. 270, 3904–3915 (2003)