Anotação, numa perspectiva de Direito Penal e de Criminologia, de alguns dos aspectos do Acórdão do Supremo Tribunal de Justiça (português), de 28 de Setembro de 2011 - os problemas do direito ao silêncio e do dever em o arguido se sujeitar a aplicações de prova no processo penal

Resumo: 1 – Sumário do Acórdão do Supremo Tribunal de Justiça, de 28 de Setembro de 2011; 2 – Texto completo do Acórdão do Supremo Tribunal de Justiça, de 28 de Setembro de 2011, Juiz Conselheiro Raul BORGES (Relator), Juiz Conselheiro Armindo MONTEIRO cfr. http://www.dgsi.pt , 20 de Janeiro de 2012; 3 – Anotação; 3.1 – Introdução à anotação; 3.2 – Algumas das referências, por parte do Acórdão do Supremo Tribunal de Justiça, de 28 de Setembro de 2011, aos problemas do direito ao silêncio e do dever em o arguido se sujeitar a aplicações de prova no processo penal; 3.3 – «Teoria geral» dos problemas do direito ao silêncio em contraste com o dever de sujeição do arguido a diligências de prova no contexto do direito processual penal lusitano; 4 - Conclusão. § Abstract: 1 - Summary of the Judgement of the Supreme Court of Justice of 28 September 2011 2 - Full text of the Judgement of the Supreme Court of Justice of 28 September 2011, Councillor Judge Raul Borges (Reporter), Councillor Judge Armindo Monteiro cf. . http://www.dgsi.pt, January 20, 2012, 3 - Note: 3.1 - Introduction to the annotation; 3.2 - Some of the references, by the Judgement of the Supreme Court of Justice of 28 September 2011, the problems the right to silence and the duty in the defendant be subject to applications of proof in criminal proceedings; 3.3 - "general Theory" of the problems the right to silence in contrast to the duty of subjection of the accused to proof steps in the right context criminal procedure Lusitanian 4 - Conclusion. P.S.: este é o "abstract" tal qual como surge no artigo.

Aspectos Relevantes na Implementação do Balanced Scorecard em Grandes Empresas Portuguesas

O Balanced Scorecard (BSC) aparece no panorama empresarial como uma poderosa ferramenta para enfrentar a forte concorrência. Tal constatação coloca a questão de sabermos se as empresas portuguesas estão a acompanhar esta evolução. Assim, no sentido de averiguarmos se conhecem e estão a adoptar o BSC, quais as principais motivações para a sua aplicação e como está a ser implementado, enviamos um questionário às 250 maiores empresas portuguesas. Os resultados revelam que embora exista um conhecimento elevado e correcto sobre esta ferramenta, a taxa de utilização é baixa e muito recente. À semelhança do registado em outros países, o BSC em Portugal ainda está numa fase inicial. O estudo revelou também que são essencialmente as empresas pertencentes ao sector secundário que mais utilizam o BSC. Não obstante, ao contrário de outros estudos, não obtivemos evidência empírica sobre a influência de variáveis como a localização geográfica, dimensão e internacionalização na utilização e conhecimento do BSC em Portugal.

Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

Pectus excavatum is the most common deformity of the thorax. Pre-operative diagnosis usually includes Computed Tomography (CT) to successfully employ a thoracic prosthesis for anterior chest wall remodeling. Aiming at the elimination of radiation exposure, this paper presents a novel methodology for the replacement of CT by a 3D laser scanner (radiation-free) for prosthesis modeling. The complete elimination of CT is based on an accurate determination of ribs position and prosthesis placement region through skin surface points. The developed solution resorts to a normalized and combined outcome of an artificial neural network (ANN) set. Each ANN model was trained with data vectors from 165 male patients and using soft tissue thicknesses (STT) comprising information from the skin and rib cage (automatically determined by image processing algorithms). Tests revealed that ribs position for prosthesis placement and modeling can be estimated with an average error of 5.0 ± 3.6 mm. One also showed that the ANN performance can be improved by introducing a manually determined initial STT value in the ANN normalization procedure (average error of 2.82 ± 0.76 mm). Such error range is well below current prosthesis manual modeling (approximately 11 mm), which can provide a valuable and radiation-free procedure for prosthesis personalization.

Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

Pectus excavatum is the most common deformity of the thorax. Pre-operative diagnosis usually includes Computed Tomography (CT) to successfully employ a thoracic prosthesis for anterior chest wall remodeling. Aiming at the elimination of radiation exposure, this paper presents a novel methodology for the replacement of CT by a 3D laser scanner (radiation-free) for prosthesis modeling. The complete elimination of CT is based on an accurate determination of ribs position and prosthesis placement region through skin surface points. The developed solution resorts to a normalized and combined outcome of an artificial neural network (ANN) set. Each ANN model was trained with data vectors from 165 male patients and using soft tissue thicknesses (STT) comprising information from the skin and rib cage (automatically determined by image processing algorithms). Tests revealed that ribs position for prosthesis placement and modeling can be estimated with an average error of 5.0 ± 3.6 mm. One also showed that the ANN performance can be improved by introducing a manually determined initial STT value in the ANN normalization procedure (average error of 2.82 ± 0.76 mm). Such error range is well below current prosthesis manual modeling (approximately 11 mm), which can provide a valuable and radiation-free procedure for prosthesis personalization.

Artificial neural networks for automatic modelling of the pectus excavatum corrective prosthesis

Pectus excavatum is the most common deformity of the thorax and usually comprises Computed Tomography (CT) examination for pre-operative diagnosis. Aiming at the elimination of the high amounts of CT radiation exposure, this work presents a new methodology for the replacement of CT by a laser scanner (radiation-free) in the treatment of pectus excavatum using personally modeled prosthesis. The complete elimination of CT involves the determination of ribs external outline, at the maximum sternum depression point for prosthesis placement, based on chest wall skin surface information, acquired by a laser scanner. The developed solution resorts to artificial neural networks trained with data vectors from 165 patients. Scaled Conjugate Gradient, Levenberg-Marquardt, Resilient Back propagation and One Step Secant gradient learning algorithms were used. The training procedure was performed using the soft tissue thicknesses, determined using image processing techniques that automatically segment the skin and rib cage. The developed solution was then used to determine the ribs outline in data from 20 patient scanners. Tests revealed that ribs position can be estimated with an average error of about 6.82±5.7 mm for the left and right side of the patient. Such an error range is well below current prosthesis manual modeling (11.7±4.01 mm) even without CT imagiology, indicating a considerable step forward towards CT replacement by a 3D scanner for prosthesis personalization.

Comparative analysis between statistical and artificial intelligence models in business failure prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Anotação, numa perspectiva de Direito Penal Constitucional, de Criminologia e de Política Criminal, de alguns dos aspectos do Acórdão do Tribunal Constitucional (português) n.º 353/2012, de 5 de Julho de 2012 - o problema da legítima defesa de bens jurídicos individuais e bens jurídicos colectivos, bens jurídicos supra-individuais e/ou bens jurídicos comunitários no meio do Estado de Direito e do Estado Social

o Acórdão do Tribunal Constitucional português n.º 353/2012, de 5 de Julho de 2012, ao declarar a respectiva inconstitucionalidade com força obrigatória geral, colocou em evidência a existência de bens jurídicos individuais e bens jurídicos colectivos, bens jurídicos supra-individuais, bens jurídicos comunitários. Bens jurídicos estes que devem e têm que ser tutelados e protegidos. A legítima defesa pode existir quer em relação à agressão actual e ilícita de bens jurídicos individuais, quer em relação à agressão actual e ilícita de bens jurídicos colectivos, bens jurídicos supra-individuais e/ou bens jurídicos comunitários? Parte muito substancial e importante da Doutrina indica que sim. Mas, então, como reagir, no contexto da hipotética legítima defesa, face à eventual agressão actual e ilícita dos bens jurídicos tutelados, agora com valor reforçado, pelo próprio Tribunal Constitucional? E qual o papel do direito constitucional de resistência? Este artigo pretende fornecer um muito breve contributo para a solução das correspondentes questões. A questão dos Direitos Fundamentais, o Desenvolvimento e a modernidade. § the Sentence of the (Portuguese) Constitutional Court n. 353/2012 of July 5, 2012, declaring its generally binding unconstitutionality, has highlighted the existence of individual legal goods and collective legal goods, supra-individual legal goods, community legal goods. These legal goods, that should and must be defended and protected. Legitimate defense can be either relative to the current and illicit aggression to individual legal goods, whether in relation to the current and illicit aggression to collective legal goods, supra-individual legal goods or community legal goods? Very substantial and important part of the Doctrine would appear so. But then how to respond, in the context of hypothetical self-defense, in the face of possible current and illicit aggression of the protected legal goods, now with enhanced value, by the Constitutional Court? And what is the role of the constitutional right of resistance? This article is intended to provide a very brief contribution to the solution of the corresponding questions. The question of Fundamental Rights, Development and modernity.

Comparative Analysis between Statistical and Artificial Intelligence Models in Business Failure Prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.