



@article {2227,
	title = {Scientists perception of ethical issues in nanomedicine: A case study},
	journal = {NanomedicineNanomedicine},
	volume = {6},
	year = {2011},
	note = {Export Date: 21 November 2012Source: Scopusdoi: 10.2217/nnm.11.9PubMed ID: 21506689Language of Original Document: EnglishCorrespondence Address: Silva Costa, H.; IBMC - Instituto de Biologia Molecular e Celular, Universidade Do Porto, Rua do Campo Alegre, 823, 4150-180 Porto, Portugal; email: helena.costa@kit.eduReferences: (2006) Nanotechnology for Health, , European Commission European Technology Platform on Nanomedicine Strategic Research Agenda, Brussels, Belgium;(2005) Nanomedicine: An ESF - European Medical Research Councils (EMRC) Forward Look Report, , European Science Foundation ISBN 2-912049-52-0. IREG Strasbourg France; 
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Leary, S.P., Liu, C.Y., Apuzzo, M.L.J., Toward the emergence of nanoneurosurgery: Part III - Nanomedicine: Targeted nanotherapy, nanosurgery, and progress toward the realization of nanoneurosurgery (2006) Neurosurgery, 58 (6), pp. 1009-1025. , DOI 10.1227/01.NEU.0000217016.79256.16, PII 0000612320060600000001; 
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www.ibmc.up.pt, Institute for Molecular and Cell Biologywww.ineb.up.pt, Institute for Biomedical Engineeringwww.ipatimup.pt, Institute for Molecular Pathology and Immunologywww.portugalnano.net, Portuguese Nanotechnology Network(2008) Awareness of and Attitudes Toward Nanotechnology and Synthetic Biology: A Report of Findings Based on A National Survey among Adults, , www.nanotechproject.org/process/assets/files/8286/nano_synbio.pdf, Hart Research Associates Inc. Conducted on Behalf of the Project on Emerging Nanotechnologies, The Woodrow Wilson International Center for Scholars; 
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},
	month = {2011///},
	pages = {681 - 691},
	abstract = {Aim: Research and development in nanomedicine has been accompanied by the consideration of ethical issues; however, little is known about how researchers working in this area perceive such issues. This case-study explores scientists attitude towards and knowledge of ethical issues. Method: Data were collected by semi-structured interviews with 22 nanomedicine practitioners and subject to content analysis. Results: We found that scientists reflect with ambiguity on the reputed novelty of nanomedicine and what the ethical issues and risks are in their work. Respondents see no necessity for a paradigm shift in ethical considerations, but view ethical issues in nanomedicine as overlapping with those of other areas of biomedical research. Most respondents discuss ethical issues they faced in scientific work with their colleagues, but expect benefit from additional information and training on ethics. Conclusion: Our findings that scientists are motivated to reflect on ethical issues in their work, can contribute to the design of new strategies, including training programs, to engage scientists in ethical discussion and stimulate their responsibility as nanomedicine practitioners. {\textcopyright} 2011 Future Medicine Ltd.},
	keywords = {adult, ambiguity, article, attitude, case study, clinical article, empirical research, ethics, Female, human, Humans, information, knowledge, male, medical ethics, medical research, Middle Aged, Models, Theoretical, nanomedicine, Nanotechnology, perception, priority journal, professional practice, qualitative study, Research Personnel, responsibility, risks, scientist, scientists perception, semi structured interview, training, Young Adult},
	isbn = {17435889 (ISSN)},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79959957262\&partnerID=40\&md5=33a048f12514a5e04810a0c7d7e311dd},
	author = {Silva Costa, H. and Sethe, S. and P{\^e}go, A.P. and Olsson, I.A.S.}
}
@book {2331,
	title = {The influence of the risk functional in data classification with MLPs},
	series = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci.},
	volume = {5163 LNCS},
	year = {2008},
	note = {Conference code: 73798Cited By (since 1996): 2Export Date: 21 November 2012Source: Scopusdoi: 10.1007/978-3-540-87536-9_20Language of Original Document: EnglishCorrespondence Address: Silva, L. M.; INEB -Instituto de Engenharia Biom{\'e}dica, Divis{\~a}o de Sinal e Imagem, Campus FEUP, Rua Dr. Roberto Frias, 4200 - 465 Porto, Portugal; email: lmsilva@fe.up.ptReferences: Silva, L.M., Alexandre, L.A., Marques de S{\'a}, J.: Data classification with multilayer perceptrons using a generalized error function. Neural Networks (2008) doi:10.1016/j.neunet.2008.04,004Erdogmus, D., Principe, J.C., Generalized information potential criterion for adaptive system training (2002) IEEE Transactions on Neural Networks, 13 (5), pp. 1035-1044;Erdogmus, D., Principe, J.C., An Error-Entropy Minimization Algorithm for Supervised Training of Nonlinear Adaptive Systems (2002) IEEE Transactions on Signal Processing, 50 (7), pp. 1780-1786; 
Santos, J.M., Alexandre, L.A., Marques de S{\'a}, J., The Error Entropy Minimization Algorithm for Neural Network Classification (2004) Int. Conf. on Recent Advances in Soft Computing, , Nottingham, United Kingdom; 
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},
	month = {2008///},
	pages = {185 - 194},
	address = {Prague},
	abstract = {We investigate the capability of multilayer perceptrons using specific risk functionals attaining the minimum probability of error (optimal performance) achievable by the class of mappings implemented by the multilayer perceptron (MLP). For that purpose we have carried out a large set of experiments using different risk functionals and datasets. The experiments were rigorously controlled so that any performance difference could only be attributed to the different risk functional being used. Statistical analysis was also conducted in a careful way. From the several conclusions that can be drawn from our experimental results it is worth to emphasize that a risk functional based on a specially tuned exponentially weighted distance attained the best performance in a large variety of datasets. As to the issue of attaining the minimum probability of error we also carried out classification experiments using non-MLP classifiers that implement complex mappings and are known to provide the best results until this date. These experiments have provided evidence that at least in many cases, by using an adequate risk functional, it will be possible to reach the optimal performance. {\textcopyright} Springer-Verlag Berlin Heidelberg 2008.},
	keywords = {Backpropagation, Complex mapping, Data classification, Data sets, Electric loads, Experiments, Functionals, Minimum probability of error, MLP classifiers, Multi layer perceptron, Multi-layer perceptrons, Multilayer neural networks, Multilayers, Optimal performance, Pattern recognition systems, Probability density function, risks, Statistical analysis, Weighted distance},
	isbn = {03029743 (ISSN); 3540875352 (ISBN); 9783540875352 (ISBN)},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-58849129862\&partnerID=40\&md5=d9d0d90a540a21b191eebbf1956ed6e9},
	author = {Silva, L.M. and Embrechts, M. and Santos, J.M. and De S{\'a}, J.M.}
}
