Framework for the semantic alignment of enterprise’s domain knowledge

Nowadays, the consumption of goods and services on the Internet are increasing in a constant motion. Small and Medium Enterprises (SMEs) mostly from the traditional industry sectors are usually make business in weak and fragile market sectors, where customized products and services prevail. To survive and compete in the actual markets they have to readjust their business strategies by creating new manufacturing processes and establishing new business networks through new technological approaches. In order to compete with big enterprises, these partnerships aim the sharing of resources, knowledge and strategies to boost the sector’s business consolidation through the creation of dynamic manufacturing networks. To facilitate such demand, it is proposed the development of a centralized information system, which allows enterprises to select and create dynamic manufacturing networks that would have the capability to monitor all the manufacturing process, including the assembly, packaging and distribution phases. Even the networking partners that come from the same area have multi and heterogeneous representations of the same knowledge, denoting their own view of the domain. Thus, different conceptual, semantic, and consequently, diverse lexically knowledge representations may occur in the network, causing non-transparent sharing of information and interoperability inconsistencies. The creation of a framework supported by a tool that in a flexible way would enable the identification, classification and resolution of such semantic heterogeneities is required. This tool will support the network in the semantic mapping establishments, to facilitate the various enterprises information systems integration.

Starburst accelerator and incubator construction & energy: How to monitor the activities of an incubator and give strategic advice to startups

This work project takes the format of a problem-solving approach suggested by “Impulse Partners”, a French consulting firm. It recommends a way to measure the success of ten startups in the incubators “Starburst” and “Incubator Construction & Energy” and give them strategic guidance. A Balanced Scorecard is elaborated to help incubated startups building up and implementing their strategy. The Scorecard suggests possible initiatives for the startups that are ideally realized with the help of the consulting firm that is steering the incubator. Special attention is drawn to what the startups need to succeed, which typically concerns financing, networking and managing skills.

Doenças raras na Ilha de S. Miguel : caracterização epidemiológica

RESUMO:O conceito de doenças raras como entidade própria começou a ser divulgado na comunidade médica no início deste século. A perspectiva de congregar múltiplas patologias, com características diferentes, valorizando a baixa frequência com que ocorrem na população interessou a comunidade científica, famílias, indústria e serviços de saúde. Esperava-se encontrar estratégias para melhorar a qualidade dos cuidados de saúde prestados a estes doentes. Uma vez que a informação científica sobre doenças raras está dispersa por diversas fontes o primeiro grande desafio foi sistematizar de forma a obter o “estado da arte”. A investigação que decorreu entre 2001 e 2010 teve como objectivo principal a caracterização dos doentes e das doenças raras numa população com características restritas mas não fechada como é o caso da ilha de S. Miguel nos Açores. Foram identificados 467 doentes a partir de várias fontes e monitorizado o nascimento de recém-nascidos com doença rara durante 10 anos. A prevalência das doenças raras encontrada na ilha de S. Miguel foi de 0,34% e a inerente à definição de doença rara foi de 6 % a 8 % da população na União Europeia. A diferença encontrada poderá decorrer de se ter sobrestimado o verdadeiro valor da prevalência das doenças raras na União Europeia. A incidência de doenças raras determinada na amostra foi de 0,1% e a taxa de mortalidade por causa específica foi de 0,14‰. O diagnóstico foi confirmado por técnicas laboratoriais de citogenética ou genética molecular em 43% dos doentes da amostra. Não foi identificado nenhum agregado populacional com doença rara para além do já conhecido para a DMJ. A criação de uma metodologia de estudo implicou a construção de um registo de doentes. Para tal foi utilizado o conhecimento adquirido anteriormente sobre uma doença rara que serviu de paradigma: a doença de Machado-Joseph. Na sequência dos resultados obtidos foi considerado útil a introdução de variáveis como a figura do cuidador, o cônjuge, o número de filhos do casal, a data da primeira consulta de Genética, o tempo decorrido entre o início dos sintomas e o acesso à consulta de Genética e entre esta actividade e dispor do diagnóstico para melhor compreender o contexto de vida destes doentes na perspectiva de poderem vir a ser incorporadas como indicadores. ----------- ABSTRACT: The concept of rare diseases as a condition began to be disclosed in the medical community at the beginning of this century.The prospect of bringing together multiple pathologies, with different features, enhancing the low frequency with which they occur in the population interested the scientific community, families, industry and health care services. The aim was to find strategies to improve the quality of care provided to these patients. Given that the scientific information on rare diseases is spread out across several sources the first major challenge was to systematize in order to get the "state of the art". The research took place between 2001 and 2010 and had as its main objective the characterization of patients and rare diseases in a population with specific features, but not confined, like in the case of the São Miguel Island in Azores. During 10 years were identified 467 patients from multiple sources and were observed the newborns with rare diseases. Prevalence of rare diseases found in the São Miguel Island was 0,34% compared to the 6% to 8% by definition of rare disease in the population in European Union. This discrepancy may be explained by a likely frequency of overrated rare diseases in European Union. The incidence of rare diseases in the sample was 0,1% and the specific mortality rate was 0,14 ‰. This diagnosis was confirmed by cytogenetic or molecular genetics analysis in 43% of patients in the sample. No population cluster was identified with rare disease besides the already known for Machado-Joseph Disease. The methodology for the study involved the construction of a database of patients. For such purpose it was used previously acquired knowledge on a rare disease paradigm: the Machado-Joseph disease. It was useful to introduce the following variables to properly establish the results: caregiver, spouse, number of children, date of first Genetics appointment, elapsed time between onset of symptoms and access to first appointment as well as this and the final diagnosis to better understand the context of life of these patients in order to incorporate them as rates.

Área 'non aedificandi' em domínio privado. História breve do interstício entre prédios em Portugal

Partindo dos dispositivos jurídicos em vigor (Código Civil e Regulamento Geral das Edificações Urbanas) e recuando até às antigas influências jurídicas (romanas e islâmicas), neste artigo procura-se perceber como os interstícios entre prédios em Portugal foram estabelecidos ao longo do tempo pela ordem jurídica. São contextualizadas e analisadas as antigas normas da almotaçaria e as normas contemporâneas, procurando perceber inovações e persistências. Por fim, realça-se a importância deste conhecimento para o estudo da forma urbana portuguesa.

Construction sector: Need for strategic reorientation

The construction sector in Portugal declined sharply over the past 10 years. The current crisis can wiped out the entire industry. Can the industry survive? What lessons can we learn? What can be done to revive the sector? These are questions this study intends to answer. By analyzing the best practices of the industry and of the largest construction companies in Portugal, as well as the difficulties and constrains that they all faced, I found that retrenchment (operational costs and selling assets) are the main measures companies resort to, and that strategic reorientation is essential to turnaround. I found that internationalization is a key driver on strategic reorientation and diversification and concentration are complementary strategies that can enforce and strengthen the main one.

Knowledge management framework based on brain models and human physiology

The life of humans and most living beings depend on sensation and perception for the best assessment of the surrounding world. Sensorial organs acquire a variety of stimuli that are interpreted and integrated in our brain for immediate use or stored in memory for later recall. Among the reasoning aspects, a person has to decide what to do with available information. Emotions are classifiers of collected information, assigning a personal meaning to objects, events and individuals, making part of our own identity. Emotions play a decisive role in cognitive processes as reasoning, decision and memory by assigning relevance to collected information. The access to pervasive computing devices, empowered by the ability to sense and perceive the world, provides new forms of acquiring and integrating information. But prior to data assessment on its usefulness, systems must capture and ensure that data is properly managed for diverse possible goals. Portable and wearable devices are now able to gather and store information, from the environment and from our body, using cloud based services and Internet connections. Systems limitations in handling sensorial data, compared with our sensorial capabilities constitute an identified problem. Another problem is the lack of interoperability between humans and devices, as they do not properly understand human’s emotional states and human needs. Addressing those problems is a motivation for the present research work. The mission hereby assumed is to include sensorial and physiological data into a Framework that will be able to manage collected data towards human cognitive functions, supported by a new data model. By learning from selected human functional and behavioural models and reasoning over collected data, the Framework aims at providing evaluation on a person’s emotional state, for empowering human centric applications, along with the capability of storing episodic information on a person’s life with physiologic indicators on emotional states to be used by new generation applications.

Improving building technologies with a sustainable strategy

In recent years it has been noticed the progressive disappearance of vernacular sustainable building technologies all over the world mainly due to a strong urban rehabilitation process with modern technologies not compatible with ancient knowledge. Simultaneously new dwellings are needed all over the world and in this sense it was decided to study an ecological and cost-controlled building technology of monolithic walls that can combine the use of low carbon footprint materials, such as earth, fibres and lime using an invasive species: giant reed cane (Arundo Donax). This paper explains the development of this building technology through testing diverse prototypes.

Mota-Engil Construction

Equity research report

Development of process control strategies exploiting knowledge from systems biology: application to MDCK suspension cells

Madine Darby Canine Kidney (MDCK) cell lines have been extensively evaluated for their potential as host cells for influenza vaccine production. Recent studies allowed the cultivation of these cells in a fully defined medium and in suspension. However, reaching high cell densities in animal cell cultures still remains a challenge. To address this shortcoming, a combined methodology allied with knowledge from systems biology was reported to study the impact of the cell environment on the flux distribution. An optimization of the medium composition was proposed for both a batch and a continuous system in order to reach higher cell densities. To obtain insight into the metabolic activity of these cells, a detailed metabolic model previously developed by Wahl A. et. al was used. The experimental data of four cultivations of MDCK suspension cells, grown under different conditions and used in this work came from the Max Planck Institute, Magdeburg, Germany. Classical metabolic flux analysis (MFA) was used to estimate the intracellular flux distribution of each cultivation and then combined with partial least squares (PLS) method to establish a link between the estimated metabolic state and the cell environment. The validation of the MFA model was made and its consistency checked. The resulted PLS model explained almost 70% of the variance present in the flux distribution. The medium optimization for the continuous system and for the batch system resulted in higher biomass growth rates than the ones obtained experimentally, 0.034 h-1 and 0.030 h-1, respectively, thus reducing in almost 10 hours the duplication time. Additionally, the optimal medium obtained for the continuous system almost did not consider pyruvate. Overall the proposed methodology seems to be effective and both proposed medium optimizations seem to be promising to reach high cell densities.

Characterization of earth-based mortars for rammed earth repair

All over the world, many earth buildings are deteriorating due to lack of maintenance and repair. Repairs on rammed earth walls are mainly done with mortars, by rendering application; however, often the repair is inadequate, resorting to the use of incompatible materials, including cement-based mortars. It has been observed that such interventions, in walls that until that day only had presented natural ageing issues, created new problems, much more dangerous for the building than the previous ones, causing serious deficiencies in this type of construction. One of the problems is that the detachment of the new cement-based mortar rendering only occurs after some time but, until that occurrence, degradations develop in the wall itself. When the render detaches, instead of needing only a new render, the surface has to be repaired in depth, with a repair mortar. Consequently, it has been stablished that the renders, and particularly repair mortars, should have physical, mechanical and chemical properties similar to those of the rammed earth walls. This article intends to contribute to a better knowledge of earth-based mortars used to repair the surface of rammed earth walls. The studied mortars are based on four types of earth: three of them were collected from non-deteriorated parts of walls of unstabilized rammed earth buildings located in Alentejo region, south of Portugal; the fourth is a commercial earth, consisting mainly of clay. Other components were also used, particularly: sand to control shrinkage; binders stabilizers such as dry hydrated air-lime, natural hydraulic lime, Portland cement and natural cement; as well as natural vegetal fibers (hemp fibers). The experimental analysis of the mortars in the fresh state consisted in determining the consistency by flow table and the bulk density. In the hardened state, the tests made it possible to evaluate the following properties: linear and volumetric shrinkage; capillary water absorption; drying capacity; dynamic modulus of elasticity; flexural and compressive strength.

The World Health Organization Multi-Professional Patient Safety Curriculum : implementation of key modules and its impact on patient safety knowledge, skills, and attitudes of medical students at the University of Algarve

ABSTRACT - Objectives: We attempted to show how the implementation of the key elements of the World Health Organization Patient Safety Curriculum Guide Multi-professional Edition in an undergraduate curriculum affected the knowledge, skills, and attitudes towards patient safety in a graduate entry Portuguese Medical School. Methods: After receiving formal recognition by the WHO as a Complementary Test Site and approval of the organizational ethics committee , the validated pre-course questionnaires measuring the knowledge, skills, and attitudes to patient safety were administered to the 2nd and3rd year students pursuing a four-year course (N = 46). The key modules of the curriculum were implemented over the academic year by employing a variety of learning strategies including expert lecturers, small group problem-based teaching sessions, and Simulation Laboratory sessions. The identical questionnaires were then administered and the impact was measured. The Curriculum Guide was evaluated as a health education tool in this context. Results: A significant number of the respondents, 47 % (n = 22), reported having received some form of prior patient safety training. The effect on Patient Safety Knowledge was assessed by using the percentage of correct pre- and post-course answers to construct 2 × 2 contingency tables and by applying Fishers’ test (two-tailed). No significant differences were detected (p < 0.05). To assess the effect of the intervention on Patient Safety skills and attitudes, the mean and standard deviation were calculated for the pre and post-course responses, and independent samples were subjected to Mann-Whitney’s test. The attitudinal survey indicated a very high baseline incidence of desirable attitudes and skills toward patient safety. Significant changes were detected (p < 0.05) regarding what should happen if an error is made (p = 0.016), the role of healthcare organizations in error reporting (p = 0.006), and the extent of medical error (p = 0.005). Conclusions: The implementation of selected modules of the WHO Patient Safety Curriculum was associated with a number of positive changes regarding patient safety skills and attitudes, with a baseline incidence of highly desirable patient safety attitudes, but no measureable change on the patient safety knowledge, at the University of Algarve Medical School. The significance of these results is discussed along with implications and suggestions for future research.

Semantic relations extraction from unstructured information for domain ontologies enrichment

Based in internet growth, through semantic web, together with communication speed improvement and fast development of storage device sizes, data and information volume rises considerably every day. Because of this, in the last few years there has been a growing interest in structures for formal representation with suitable characteristics, such as the possibility to organize data and information, as well as the reuse of its contents aimed for the generation of new knowledge. Controlled Vocabulary, specifically Ontologies, present themselves in the lead as one of such structures of representation with high potential. Not only allow for data representation, as well as the reuse of such data for knowledge extraction, coupled with its subsequent storage through not so complex formalisms. However, for the purpose of assuring that ontology knowledge is always up to date, they need maintenance. Ontology Learning is an area which studies the details of update and maintenance of ontologies. It is worth noting that relevant literature already presents first results on automatic maintenance of ontologies, but still in a very early stage. Human-based processes are still the current way to update and maintain an ontology, which turns this into a cumbersome task. The generation of new knowledge aimed for ontology growth can be done based in Data Mining techniques, which is an area that studies techniques for data processing, pattern discovery and knowledge extraction in IT systems. This work aims at proposing a novel semi-automatic method for knowledge extraction from unstructured data sources, using Data Mining techniques, namely through pattern discovery, focused in improving the precision of concept and its semantic relations present in an ontology. In order to verify the applicability of the proposed method, a proof of concept was developed, presenting its results, which were applied in building and construction sector.

An agent based architecture to support monitoring in plug and produce manufacturing systems using knowledge extraction

In recent years a set of production paradigms were proposed in order to capacitate manufacturers to meet the new market requirements, such as the shift in demand for highly customized products resulting in a shorter product life cycle, rather than the traditional mass production standardized consumables. These new paradigms advocate solutions capable of facing these requirements, empowering manufacturing systems with a high capacity to adapt along with elevated flexibility and robustness in order to deal with disturbances, like unexpected orders or malfunctions. Evolvable Production Systems propose a solution based on the usage of modularity and self-organization with a fine granularity level, supporting pluggability and in this way allowing companies to add and/or remove components during execution without any extra re-programming effort. However, current monitoring software was not designed to fully support these characteristics, being commonly based on centralized SCADA systems, incapable of re-adapting during execution to the unexpected plugging/unplugging of devices nor changes in the entire system’s topology. Considering these aspects, the work developed for this thesis encompasses a fully distributed agent-based architecture, capable of performing knowledge extraction at different levels of abstraction without sacrificing the capacity to add and/or remove monitoring entities, responsible for data extraction and analysis, during runtime.

Decisions of technology innovation: the role of indicators

This work presents research conducted to understand the role of indicators in decisions of technology innovation. A gap was detected in the literature of innovation and technology assessment about the use and influence of indicators in this type of decision. It was important to address this gap because indicators are often frequent elements of innovation and technology assessment studies. The research was designed to determine the extent of the use and influence of indicators in decisions of technology innovation, to characterize the role of indicators in these decisions, and to understand how indicators are used in these decisions. The latter involved the test of four possible explanatory factors: the type and phase of decision, and the context and process of construction of evidence. Furthermore, it focused on three Portuguese innovation groups: public researchers, business R&D&I leaders and policymakers. The research used a combination of methods to collect quantitative and qualitative information, such as surveys, case studies and social network analysis. This research concluded that the use of indicators is different from their influence in decisions of technology innovation. In fact, there is a high use of indicators in these decisions, but lower and differentiated differences in their influence in each innovation group. This suggests that political-behavioural methods are also involved in the decisions to different degrees. The main social influences in the decisions came mostly from hierarchies, knowledge-based contacts and users. Furthermore, the research established that indicators played mostly symbolic roles in decisions of policymakers and business R&D&I leaders, although their role with researchers was more differentiated. Indicators were also described as helpful instruments to conduct a reasonable interpretation of data and to balance options in innovation and technology assessments studies, in particular when contextualised, described in detail and with discussion upon the options made. Results suggest that there are four main explanatory factors for the role of indicators in these decisions: First, the type of decision appears to be a factor to consider when explaining the role of indicators. In fact, each type of decision had different influences on the way indicators are used, and each type of decision used different types of indicators. Results for policy-making were particularly different from decisions of acquisition and development of products/technology. Second, the phase of the decision can help to understand the role indicators play in these decisions. Results distinguished between two phases detected in all decisions – before and after the decision – as well as two other phases that can be used to complement the decision process and where indicators can be involved. Third, the context of decision is an important factor to consider when explaining the way indicators are taken into consideration in policy decisions. In fact, the role of indicators can be influenced by the particular context of the decision maker, in which all types of evidence can be selected or downplayed. More importantly, the use of persuasive analytical evidence appears to be related with the dispute existent in the policy context. Fourth and last, the process of construction of evidence is a factor to consider when explaining the way indicators are involved in these decisions. In fact, indicators and other evidence were brought to the decision processes according to their availability and capacity to support the different arguments and interests of the actors and stakeholders. In one case, an indicator lost much persuasion strength with the controversies that it went through during the decision process. Therefore, it can be argued that the use of indicators is high but not very influential; their role is mostly symbolic to policymakers and business decisions, but varies among researchers. The role of indicators in these decisions depends on the type and phase of the decision and the context and process of construction of evidence. The latter two are related to the particular context of each decision maker, the existence of elements of dispute and controversies that influence the way indicators are introduced in the decision-making process.

Fiscalização dos serviços de informações em Portugal

The present work offers a brief historical and evolutionary introduction to the legal basis of the Portuguese Republic Intelligence System (SIRP) which comprises two services – the Security Intelligence Service (SIS) and the Defence Strategic Intelligence Service (SIED) – and two entities responsible for its oversight – the Supervisory Body (CFSIRP) and the Data Monitoring Committee (CFD), also responsible for supervising the Military Intelligence and Security Centre (CISMIL) of the General Staff of the Armed Forces (EMGFA). The initial narrative subsequently leads us to a detailed analysis of the Portuguese Intelligence services' current model of monitoring, as well as of the legislator’s options, namely in the legal drafting field, used within the construction and definition of the legal structure that currently regulates the Portuguese Republic Intelligence System. For the purposes of this study we have broadly examined different models of the European Union, in particular those of Belgium, the Netherlands and Croatia. We have also transposed to the text the valuable contributions collected during the research phase, more precisely the replies to questionnaires and interviews conducted with certain individuals selected according to their knowledge and affinity with the subject of this study, including members and former members of the Supervisory Body and former directors of the three portuguese intelligence services. The present dissertation intends to contribute to the development of this subject, promoting critical analysis, within and beyond the academia, with the aim that some of its reflections might be useful towards the intelligence system’s future reform, particularly in what concerns intelligence services monitoring.