Matos, C, Ortigueira MD.
2010.
Fractional Filters: An Optimization Approach. Emerging Trends in Technological Innovation. 314:361–366.
AbstractThe design and optimization of fractional filters is considered in this paper. Some of the classic filter architectures are presented and their performances relatively to an ideal amplitude spectrum evaluated. The fractional filters are designed using the differential evolution optimization algorithm for computing their parameters. To evaluate the performances of all the filters the quadratic error between the computed amplitude is calculated against an ideal (goal) response. The fractional filters have a better behavior, both in the pass and reject-band.
Gomes, AQ, Correia DV, Grosso AR, Lança T, Ferreira C, Lacerda JF, Barata JT, da Silva MG, Silva-santos B.
2010.
Identification of a panel of ten cell surface protein antigens associated with immunotargeting of leukemias and lymphomas by peripheral blood γδT cells. Haematologica. 95:1397–1404., Number 8
AbstractBACKGROUND:
Vgamma9Vdelta2 T lymphocytes are regarded as promising mediators of cancer immunotherapy due to their capacity to eliminate multiple experimental tumors, particularly within those of hematopoietic origin. However, Vgamma9Vdelta2 T-cell based lymphoma clinical trials have suffered from the lack of biomarkers that can be used as prognostic of therapeutic success.
DESIGN AND METHODS:
We have conducted a comprehensive study of gene expression in acute lymphoblastic leukemias and non-Hodgkin's lymphomas, aimed at identifying markers of susceptibility versus resistance to Vgamma9Vdelta2 T cell-mediated cytotoxicity. We employed cDNA microarrays and quantitative real-time PCR to screen 20 leukemia and lymphoma cell lines, and 23 primary hematopoietic tumor samples. These data were analyzed using state-of-the-art bioinformatics, and gene expression patterns were correlated with susceptibility to Vgamma9Vdelta2 T cell mediated cytolysis in vitro.
RESULTS:
We identified a panel of 10 genes encoding cell surface proteins that were statistically differentially expressed between "gammadelta-susceptible" and "gammadelta-resistant" hematopoietic tumors. Within this panel, 3 genes (ULBP1, TFR2 and IFITM1) were associated with increased susceptibility to Vgamma9Vdelta2 T-cell cytotoxicity, whereas the other 7 (CLEC2D, NRP2, SELL, PKD2, KCNK12, ITGA6 and SLAMF1) were enriched in resistant tumors. Furthermore, some of these candidates displayed a striking variance of expression among primary follicular lymphomas and T-cell acute lymphoblastic leukemias.
CONCLUSIONS:
Our results suggest that hematopoietic tumors display a highly variable repertoire of surface proteins that can impact on Vgamma9Vdelta2 cell-mediated immunotargeting. The prognostic value of the proposed markers can now be evaluated in upcoming Vgamma9Vdelta2 T cell-based lymphoma/leukemia clinical trials.
Paliokaité, A.
2010.
Industry level foresight: designing foresight methods for Lithuanian energy sector. Enterprise and Work Innovation Studies. 6:9-51.
Abstract This paper has its starting point in the background analysis of the Lithuanian energy sector after closing down the only Lithuanian nuclear power plant in 2010. Based on the hypothesis that one of the main governance failures in this sector leading to weak industry level strategies is the lack of participatory debate and sufficient linkages between the different actors involved in the dynamic of the energy sector in Lithuania, this paper proposes industry level foresight as an instrument of long term planning. Foresight exercises could become an important instrument for reorienting energy sector policy, building new networks and linkages among the different actors, bringing new stakeholders into the strategic debate, exploring future opportunities State investment (including R&D), etc. The primary objective of this paper is therefore the design of a foresight exercise on energy sector with the aim of producing a long term strategy for this sector. The secondary objective is to address a topic on how to select foresight methods at industry level. The argument is that a better understanding of the fundamental attributes of foresight methods and their linkages to the core phases of a foresight process can provide useful insights as to how the selection of methods is carried out. The method applied in this paper is dual: firstly, the synthesis of the academic literature on the selection of foresight methods is carried out; secondly, the comparative case study analysis of three foresight cases in the Baltic Sea Region (Poland, Finland and Russia) is applied. Case study analysis allows to explore the usage of foresight methods at industry level in the Baltic Sea Region and to understand if there are any similarities in the approach, also to explore success factors and weaknesses. The analysis in this paper is comprised of four main parts. The first part provides a background analysis on the energy sector in Lithuania and justification for the foresight exercise. Second part describes the underlying frameworks and definitions in the field of foresight research. The third part develops a comparative analysis of case studies of industry level foresight. The third part provides recommendations for energy sector foresight methodology in Lithuania. The paper combines concepts and frameworks from literature (such as the Foresight Process and the Foresight Diamond) with comparative practical case study analysis. The results can be utilised by lecturers and students to describe and understand better the use of foresight methods at industry level, and by practitioners of foresight to better inform decisions during the design of more coherent methodological frameworks; as well as by the energy sector stakeholders in Lithuania and other countries.
Nascimento, B, Batista A, Alves LB, Ortigueira M, Rato R.
2010.
MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization. Emerging Trends in Technological Innovation. 314:367–373..
AbstractA software tool for the analysis of the High-Resolution Electrocardiogram (HR-ECG) for Arrhythmia detection is introduced. New algorithms based on Wavelet analysis are presented and compared with the classic Simson protocol over the P and QRS segments of the Electrocardiogram (EEG). A novel procedure based on a two step wavelet analysis and synthesis is performed in order to obtain a frequency description of the P, T or QRS segments. This frequency ?signature? is useful for the detection of otherwise asymptomatic Arrhythmia patients. The tool has been developed in Matlab, and deployed for a standalone C application.
Almeida, MG, Serra A, Silveira CM, Moura JJ.
2010.
Nitrite Biosensing via Selective Enzymes-A Long but Promising Route. Sensors. 10:11530-55., Number 12
AbstractThe last decades have witnessed a steady increase of the social and political awareness for the need of monitoring and controlling environmental and industrial processes. In the case of nitrite ion, due to its potential toxicity for human health, the European Union has recently implemented a number of rules to restrict its level in drinking waters and food products. Although several analytical protocols have been proposed for nitrite quantification, none of them enable a reliable and quick analysis of complex samples. An alternative approach relies on the construction of biosensing devices using stable enzymes, with both high activity and specificity for nitrite. In this paper we review the current state-of-the-art in the field of electrochemical and optical biosensors using nitrite reducing enzymes as biorecognition elements and discuss the opportunities and challenges in this emerging market.
Cardoso, T.
2010.
O uso eficiente da água nos edifícios de habitação. Faculdade de Ciências e Tecnologia. (
Amado, Miguel, Ed.)., Lisbon
Abstracthe lack of drinking water involves the entire world population and should be viewed as an inherent reality that must be investigated and solved.
This dissertation analyzes the implications that the consumption of drinking water has in the world and its consequences in Portugal. In order to focus the work in the area of Civil Engineering, the thesis studies the consumption of water and its efficiency in buildings, as well as measures that contribute to an increased efficiency for this consumption, both in terms of passive devices as in terms of water reuse, could it be rainwater or waste water.
The study of the efficiency of water consumption in residential buildings is done separately for family buildings and for multifamily buildings, thus discriminating which are the most efficient measures to reduce consumption in each one. Based on this division it is possible to verify that the use of rainwater is a measure that can reduce water consumption and should be implemented in family buildings. Moreover, reuse of waste water shows that it is possible to reduce and even get a surplus of water for use in toilets and irrigation of green spaces adjacent. This measure despite being highly efficient needs normative studies in order to be properly dimensioned and ensure an acceptable water quality, i.e., colorless, odorless and without toxic waste to the population.
The last chapter describes activities with the aim of increasing the efficiency of urban consumption, separately for each one of the phases of the building life cycle and finally presents a table summarizing the implementation of the different methodologies proposed.