Processing and characterization of alpha-elastin electrospun membranes

Elastin isolated from fresh bovine ligaments was dissolved in a mixture of 1,1,1,3,3,3-Hexafluoro-2-propanol and water and electrospun into fiber membranes under different processing conditions. Fiber mats of randomly and aligned fibers were obtained with fixed and rotating ground collectors and fibrils were composed by thin ribbons whose width depends on electrospinning conditions; fibrils with 721 nm up to 2.12 m width were achieved. After cross-linking with glutaraldehyde, -elastin can uptake as much as 1700 % of PBS solution and a slight increase on fiber thickness was observed. The glass transition temperature of electrospun fiber mats was found to occur at ~ 80 ºC. Moreover, -Elastin showed to be a perfect elastomeric material, and no mechanical hysteresis was found in cycle mechanical measurements. The elastic modulus obtained for oriented and random fibers mats in a PBS solution was 330 ± 10 kPa and 732 ± 165 kPa, respectively. Finally, the electrospinning and cross-linking process does not inhibit MC-3T3-E1 cell adhesion. Cell culture results showed good cell adhesion and proliferation in the cross-linked elastin fiber mats.

Sistemas de gestão integrados: motivações, obstáculos, benefícios e factores críticos de sucesso

Num mercado globalizado, qualquer organização que queira ser competitiva ou líder de mercado, sofre cada vez mais pressão da concorrência e possui cada vez mais necessidade de encontrar formas de gestão que lhe permita responder adequadamente aos novos desafios impostos. No entanto, com o aumento de referenciais, viram-se na necessidade de integrar os sistemas de gestão tendo por objectivo a optimização de recursos e de competências, com vista a alcançar a maximização do desempenho do sistema de gestão resultante. Este estudo teve como objectivos avaliar quais os factores críticos de sucesso para a implementação de um sistema integrado de gestão e quais as dificuldades encontradas pelas organizações aquando da integração dos sistemas de gestão. A amostragem foi do tipo não probabilística e quanto à técnica, a mesma foi por conveniência. A amostra ficou composta por quatro organizações com sistemas de gestão da qualidade, ambiente e segurança e saúde do trabalho. O estudo realizado foi do tipo descritivo e exploratório de nível I. Para se proceder à recolha dos dados recorreu-se a entrevistas semiestruturadas aos gestores dos sistemas de gestão, através dos quais procurámos analisar todo o processo de integração. Podemos concluir que o sistema integrado de gestão contribui positivamente para as empresas estudadas, conduzindo a benefícios ao nível da organização de processos, redução de custos, ganhos de eficácia e eficiência, entre outros. Podemos ainda concluir que o envolvimento da gestão de topo, a existência de recursos humanos e financeiros e a formação, assim como a motivação e envolvimento dos colaboradores, objectivos bem definidos e cumprimento de prazos, são factores determinantes para o sucesso da integração dos sistemas.

O impacto da exclusão digital na utilização potencial de um mercado eletrónico de serviços de cuidados de saúde e serviços sociais

Cada vez mais os indivíduos necessitam de competências digitais avançadas para participar plenamente na sociedade. Numa Europa em crescente envelhecimento é atualmente reconhecida a importância e o potencial da indústria de serviços para envelhecer bem baseados nas tecnologias de informação e de comunicação (TIC), de que é exemplo o mercado eletrónico de serviços sociais e de cuidados de saúde, o GuiMarket, proposto pelos autores para um município do Norte de Portugal. Com base nos resultados de um inquérito realizado junto de uma amostra de 315 indivíduos, o artigo discute a importância reconhecida a tal serviço e a frequência de utilização prevista, concluindo existir uma íntima relação entre o acesso às TIC e a utilização que os inquiridos preveem fazer do GuiMarket.

Information technology supporting healthcare and social care services

The authors are developing a pilot project for a Municipality in the North of Portugal, envisaging the definition and implementation of an e-marketplace for healthcare and social services, in order to facilitate the interaction between healthcare and social services professionals and people with special needs (or their relatives). Based on the results of a survey on user needs analysis and expectations conducted in 2011, the paper discusses the relevance and interest of such platforms and the main drivers and motivations of the population for using such services, as well as which services would motivate citizens to use the platform. The results of the study will be used to select the products and services perceived to be the most desired by the potential users. The paper thus makes three main contributions: (1) the results of the study confirm the interest and the perceived potential of such a service, from the end-users perspective; (2) the findings support the advantage of expanding this pilot project to a full scale implementation; and (3) the performed analysis improves our understanding of the relations between the characteristics of the inquired population and the perceived interest in such platforms.

The impact of the digital divide on the perceived interest of an e-Marketplace to support healthcare and social care services

In a Europe increasingly aging, it is now recognized the importance and potential of the service industry for ageing well based on information and communication technologies (ICT), as exemplified by the electronic market of social services and health care, the GuiMarket, proposed by the authors. However, this new range of services requires that individuals have advanced digital skills to fully participate in society. Based on the results of a survey made on a sample of 315 individuals, this paper discusses the importance granted GuiMarket and the intended frequency of use, concluding there is a close relationship between ICT access and use that respondents anticipate making of GuiMarket and alike services.

I CONGRESSO JURÍDICO DE INVESTIGADORES LUSÓFONOS: não esqueça a lei!

Quando pessoas com as mais altas responsabilidades institucionais e políticas, em países da lusofonia, alegam “o desconhecimento da lei social e dos impostos”, nada melhor do que ir(em) assistir a um congresso em diversas áreas do Direito para aprenderem um pouco, com entrada gratuita e direito a perguntas e debate. § When people with the highest institutional and political responsibilities in Lusophone countries claim "ignorance of social law and taxation", nothing better than going (in) attend a convention in various areas of law to learn a little, with free admission and the right to question and debate.

Voxel-based registration of simulated and real patient CBCT data for accurate dental implant pose estimation

The success of dental implant-supported prosthesis is directly linked to the accuracy obtained during implant’s pose estimation (position and orientation). Although traditional impression techniques and recent digital acquisition methods are acceptably accurate, a simultaneously fast, accurate and operator-independent methodology is still lacking. Hereto, an image-based framework is proposed to estimate the patient-specific implant’s pose using cone-beam computed tomography (CBCT) and prior knowledge of implanted model. The pose estimation is accomplished in a threestep approach: (1) a region-of-interest is extracted from the CBCT data using 2 operator-defined points at the implant’s main axis; (2) a simulated CBCT volume of the known implanted model is generated through Feldkamp-Davis-Kress reconstruction and coarsely aligned to the defined axis; and (3) a voxel-based rigid registration is performed to optimally align both patient and simulated CBCT data, extracting the implant’s pose from the optimal transformation. Three experiments were performed to evaluate the framework: (1) an in silico study using 48 implants distributed through 12 tridimensional synthetic mandibular models; (2) an in vitro study using an artificial mandible with 2 dental implants acquired with an i-CAT system; and (3) two clinical case studies. The results shown positional errors of 67±34μm and 108μm, and angular misfits of 0.15±0.08º and 1.4º, for experiment 1 and 2, respectively. Moreover, in experiment 3, visual assessment of clinical data results shown a coherent alignment of the reference implant. Overall, a novel image-based framework for implants’ pose estimation from CBCT data was proposed, showing accurate results in agreement with dental prosthesis modelling requirements.

Computer-aided recognition of dental implants in X-ray images

Dental implant recognition in patients without available records is a time-consuming and not straightforward task. The traditional method is a complete user-dependent process, where the expert compares a 2D X-ray image of the dental implant with a generic database. Due to the high number of implants available and the similarity between them, automatic/semi-automatic frameworks to aide implant model detection are essential. In this study, a novel computer-aided framework for dental implant recognition is suggested. The proposed method relies on image processing concepts, namely: (i) a segmentation strategy for semi-automatic implant delineation; and (ii) a machine learning approach for implant model recognition. Although the segmentation technique is the main focus of the current study, preliminary details of the machine learning approach are also reported. Two different scenarios are used to validate the framework: (1) comparison of the semi-automatic contours against implant’s manual contours of 125 X-ray images; and (2) classification of 11 known implants using a large reference database of 601 implants. Regarding experiment 1, 0.97±0.01, 2.24±0.85 pixels and 11.12±6 pixels of dice metric, mean absolute distance and Hausdorff distance were obtained, respectively. In experiment 2, 91% of the implants were successfully recognized while reducing the reference database to 5% of its original size. Overall, the segmentation technique achieved accurate implant contours. Although the preliminary classification results prove the concept of the current work, more features and an extended database should be used in a future work.

Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets

Quantitative analysis of cine cardiac magnetic resonance (CMR) images for the assessment of global left ventricular morphology and function remains a routine task in clinical cardiology practice. To date, this process requires user interaction and therefore prolongs the examination (i.e. cost) and introduces observer variability. In this study, we sought to validate the feasibility, accuracy, and time efficiency of a novel framework for automatic quantification of left ventricular global function in a clinical setting.