Fisheries Safety Management

Fisheries is one of the most dangerous professions in the world. Fatal accidents and injuries in the fisheries are characterized as well as particular circumstances that may cause or aggravate the risk of accidents. Aspects of safety management of fishing vessels are covered in this paper: areas of concern when doing a risk assessment in fishing vessels, fundamental elements on a safety management system for the fisheries and the need for international and national level instruments as well as legal and compulsory measures

Synthesis about a collaborative project on “Technology Assessment of Autonomous System

The project started in 2009 with the support of DAAD in Germany and CRUP in Portugal under the “Collaborative German-Portuguese University Actions” programme. One central goal is the further development of a theory of technology assessment applied to robotics and autonomous systems in general that reflects in its methodology the changing conditions of knowledge production in modern societies and the emergence of new robotic technologies and of associated disruptive changes. Relevant topics here are handling broadened future horizons and new clusters of science and technology (medicine, engineering, interfaces, industrial automation, micro-devices, security and safety), as well as new governance structures in policy decision making concerning research and development (R

The patient safety journey in Portugal : challenges and opportunities from a public health perspective

ABSTRACT - Despite improvements in healthcare interventions, the incidence of adverse events and other patient safety problems constitutes a major contributor to the global burden of diseases and a concern for Public Health. In the last years there have been some successful individual and institutional efforts to approach patient safety issues in Portugal, unless such effort has been fragmented or focused on specific small areas. Long-term and global improvement has remained elusive, and most of all the improvement of patient safety in Portugal, must evaluate not only the efficacy of a change but also what was effective for implementing the change. Clearly, patient safety issues result from various combinations of individual, team, organization, system and patient factors. A systemic and integrated approach to promote patient safety must acknowledge and strive to understand the complexity of work systems and processes in health care, including the interactions between people, technology, and the environment. Safety errors cannot be productively attributed to a single human error. Our objective with this paper is to provide a brief overview of the status quo in patient safety in Portugal, highlighting key aspects that should be taken into account in the design of a strategy for improving patient safety. With these key aspects in mind, policy makers and implementers can move forward and make better decisions about which changes should be made and about the way the needed changes to improve patient safety should be implemented. The contribution of colleagues that are international leaders on healthcare quality and patient safety may also contribute to more innovative research methods needed to create the knowledge that promotes less costly successful changes.---- ---------------------- RESUMO – As questões relacionadas com a Segurança do Doente, e em particular, com a ocorrência de eventos adversos tem constituído, de há uns tempos a esta parte, uma crescente preocupação para as organizações de saúde, para os decisores políticos, para os profissionais de saúde e para os doentes/utentes e suas famílias, sendo por isso considerado um problema de Saúde Pública a que urge dar resposta. Em Portugal, nos últimos anos, têm sido desenvolvidos esforços baseados, maioritariamente, em iniciativas isoladas, para abordar os aspectos da Segurança do Doente. O facto de essas iniciativas não serem integradas numa estratégia explícita e de dimensão regional ou nacional, faz com que os resultados sejam parcelares e tenham visibilidade reduzida. Paralelamente, a melhoria da qualidade dos cuidados de saúde (a longo prazo) resultante dessas iniciativas tem sido esparsa e nem sempre a avaliação tem sido feita tendo em conta critérios de efectividade e de eficiência. A Segurança do Doente resulta da interacção de diversos factores relacionados, por um lado, com o doente e, por outro, com a prestação de cuidados que envolvem elementos de natureza individual (falhas activas) e organizacional/estrutural (falhas latentes). Devido à multifactorialidade que está na base de «problemas/falhas» na Segurança do Doente, qualquer abordagem a considerar deve ser sistémica e integrada. Simultaneamente, tais abordagens devem contemplar a compreensão da complexidade dos sistemas e dos processos de prestação de cuidados de saúde e as suas interdependências (envolvendo aspectos individuais, tecnológicos e ambientais). O presente trabalho tem por objectivo reflectir sobre o «estado da arte» da Segurança do Doente em Portugal, destacando os elementos-chave que se consideram decisivos para uma estratégia de acção nesse domínio. Com esses elementos os responsáveis pela governação da saúde poderão valorizar os aspectos que consideram decisivos para uma política de Segurança do Doente mais eficaz. A contribuição de quatro colegas internacionalmente reconhecidos como líderes na área da Qualidade em Saúde e da Segurança do Doente, constitui, por certo, uma oportunidade ímpar para a identificação e discussão de alguns dos principais desafios, ameaças e oportunidades que s

Reliability analysis of a timber truss system subjected to decay

Assessing the safety of existing timber structures is of paramount importance for taking reliable decisions on repair actions and their extent. The results obtained through semi-probabilistic methods are unrealistic, as the partial safety factors present in codes are calibrated considering the uncertainty present in new structures. In order to overcome these limitations, and also to include the effects of decay in the safety analysis, probabilistic methods, based on Monte-Carlo simulation are applied here to assess the safety of existing timber structures. In particular, the impact of decay on structural safety is analyzed and discussed, using a simple structural model, similar to that used for current semi-probabilistic analysis.

Safety function analysis in an industrial production process

Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

Design, implementation, and performance of a distributed and scalable sensor system for critical distance measurements in the CMS detector at LHC

The “CMS Safety Closing Sensors System” (SCSS, or CSS for brevity) is a remote monitoring system design to control safety clearance and tight mechanical movements of parts of the CMS detector, especially during CMS assembly phases. We present the different systems that makes SCSS: its sensor technologies, the readout system, the data acquisition and control software. We also report on calibration and installation details, which determine the resolution and limits of the system. We present as well our experience from the operation of the system and the analysis of the data collected since 2008. Special emphasis is given to study positioning reproducibility during detector assembly and understanding how the magnetic fields influence the detector structure.

Development of human central nervous system 3D in vitro models for preclinical research

Neurological disorders are a major concern in modern societies, with increasing prevalence mainly related with the higher life expectancy. Most of the current available therapeutic options can only control and ameliorate the patients’ symptoms, often be-coming refractory over time. Therapeutic breakthroughs and advances have been hampered by the lack of accurate central nervous system (CNS) models. The develop-ment of these models allows the study of the disease onset/progression mechanisms and the preclinical evaluation of novel therapeutics. This has traditionally relied on genetically engineered animal models that often diverge considerably from the human phenotype (developmentally, anatomically and physiologically) and 2D in vitro cell models, which fail to recapitulate the characteristics of the target tissue (cell-cell and cell-matrix interactions, cell polarity). The in vitro recapitulation of CNS phenotypic and functional features requires the implementation of advanced culture strategies that enable to mimic the in vivo struc-tural and molecular complexity. Models based on differentiation of human neural stem cells (hNSC) in 3D cultures have great potential as complementary tools in preclinical research, bridging the gap between human clinical studies and animal models. This thesis aimed at the development of novel human 3D in vitro CNS models by integrat-ing agitation-based culture systems and a wide array of characterization tools. Neural differentiation of hNSC as 3D neurospheres was explored in Chapter 2. Here, it was demonstrated that human midbrain-derived neural progenitor cells from fetal origin (hmNPC) can generate complex tissue-like structures containing functional dopaminergic neurons, as well as astrocytes and oligodendrocytes. Chapter 3 focused on the development of cellular characterization assays for cell aggregates based on light-sheet fluorescence imaging systems, which resulted in increased spatial resolu-tion both for fixed samples or live imaging. The applicability of the developed human 3D cell model for preclinical research was explored in Chapter 4, evaluating the poten-tial of a viral vector candidate for gene therapy. The efficacy and safety of helper-dependent CAV-2 (hd-CAV-2) for gene delivery in human neurons was evaluated, demonstrating increased neuronal tropism, efficient transgene expression and minimal toxicity. The potential of human 3D in vitro CNS models to mimic brain functions was further addressed in Chapter 5. Exploring the use of 13C-labeled substrates and Nucle-ar Magnetic Resonance (NMR) spectroscopy tools, neural metabolic signatures were evaluated showing lineage-specific metabolic specialization and establishment of neu-ron-astrocytic shuttles upon differentiation. Chapter 6 focused on transferring the knowledge and strategies described in the previous chapters for the implementation of a scalable and robust process for the 3D differentiation of hNSC derived from human induced pluripotent stem cells (hiPSC). Here, software-controlled perfusion stirred-tank bioreactors were used as technological system to sustain cell aggregation and dif-ferentiation. The work developed in this thesis provides practical and versatile new in vitro ap-proaches to model the human brain. Furthermore, the culture strategies described herein can be further extended to other sources of neural phenotypes, including pa-tient-derived hiPSC. The combination of this 3D culture strategy with the implemented characterization methods represents a powerful complementary tool applicable in the drug discovery, toxicology and disease modeling.

Genetic algorithm for shipping route estimation with long-range tracking data : automatic reconstruction of shipping routes based on the historical ship positions for maritime safety applications

Ship tracking systems allow Maritime Organizations that are concerned with the Safety at Sea to obtain information on the current location and route of merchant vessels. Thanks to Space technology in recent years the geographical coverage of the ship tracking platforms has increased significantly, from radar based near-shore traffic monitoring towards a worldwide picture of the maritime traffic situation. The long-range tracking systems currently in operations allow the storage of ship position data over many years: a valuable source of knowledge about the shipping routes between different ocean regions. The outcome of this Master project is a software prototype for the estimation of the most operated shipping route between any two geographical locations. The analysis is based on the historical ship positions acquired with long-range tracking systems. The proposed approach makes use of a Genetic Algorithm applied on a training set of relevant ship positions extracted from the long-term storage tracking database of the European Maritime Safety Agency (EMSA). The analysis of some representative shipping routes is presented and the quality of the results and their operational applications are assessed by a Maritime Safety expert.