Spectroscopic characterization of a novel 2 /[4Fe /4S] ferredoxin isolated from Desulfovibrio desulfuricans ATCC 27774

Inorganica Chimica Acta 356 (2003) 215-221

A shared-disk parallel cluster file system

Dissertação apresentada para obtenção do Grau de Doutor em Informática Pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Cluster Turismo Sustentável em Áreas Protegidas: o caso do Alente

Local Tourist Systems (LTS) can be analyzed according to an investigation structure that derives from industrial economics on industrial districts, local productive systems or learning regions. LTS concept is a useful analytical tool that can seize the resorts diversity and organization. Resorts can be conceived both as clusters or industrial districts, either with a perfect agreement between productive sphere and local community or a mere industrial juxtaposition without any economic or social connection. On the other hand tourist clusters analysis has cross referred almost exclusively to socio-economic criteria. Environmental issues were almost disregarded. Approaches swing from the “greening” of products and practices to initiatives focused on an integrated approach, linking environment and tourist development. This paper tries to discuss how to favor – inside a tourist destination - the creation of clusters grounded on sustainable tourism. The case studies (the 5 Alentejo Natural Reserves: Estuário do Sado; Lagoas de Santo André e da Sancha; Vale do Guadiana; Sudoeste Alentejano e Costa Vicentina; Serra de S. Mamede) are analyzed under the light of how microstructures groups can allow a territorial sustainable tourist development. The issues of “resources and competences” and “governance” ar

Desulfovibrio gigas ferredoxin II: redox structural modulation of the [3Fe–4S] cluster

J Biol Inorg Chem (2006) 11: 307–315 DOI 10.1007/s00775-005-0077-2

Formation of a stable cyano-bridged dinuclear iron cluster following oxidation of the superoxide reductases from Treponema pallidum and Desulfovibrio vulgaris with K(3)Fe(CN)(6)

Inorg. Chem., 2003, 42 (4), pp 938–940 DOI: 10.1021/ic0262886

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

Activation of N2O reduction by the fully reduced micro4-sulfide bridged tetranuclear Cu Z cluster in nitrous oxide reductase

J. Am. Chem. Soc., 2003, 125 (51), pp 15708–15709 DOI: 10.1021/ja038344n

Cluster analysis and segmentation of Global M&A transactions

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

Botnet cluster identification

Botnets are a group of computers infected with a specific sub-set of a malware family and controlled by one individual, called botmaster. This kind of networks are used not only, but also for virtual extorsion, spam campaigns and identity theft. They implement different types of evasion techniques that make it harder for one to group and detect botnet traffic. This thesis introduces one methodology, called CONDENSER, that outputs clusters through a self-organizing map and that identify domain names generated by an unknown pseudo-random seed that is known by the botnet herder(s). Aditionally DNS Crawler is proposed, this system saves historic DNS data for fast-flux and double fastflux detection, and is used to identify live C&Cs IPs used by real botnets. A program, called CHEWER, was developed to automate the calculation of the SVM parameters and features that better perform against the available domain names associated with DGAs. CONDENSER and DNS Crawler were developed with scalability in mind so the detection of fast-flux and double fast-flux networks become faster. We used a SVM for the DGA classififer, selecting a total of 11 attributes and achieving a Precision of 77,9% and a F-Measure of 83,2%. The feature selection method identified the 3 most significant attributes of the total set of attributes. For clustering, a Self-Organizing Map was used on a total of 81 attributes. The conclusions of this thesis were accepted in Botconf through a submited article. Botconf is known conferênce for research, mitigation and discovery of botnets tailled for the industry, where is presented current work and research. This conference is known for having security and anti-virus companies, law enforcement agencies and researchers.