The impact of high involvement human resources practices on resistance to change: The mediator effect of commitment to change and the influence of ethical leadership

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Reconceptualising public spaces of (IN)equality: sensing and creating layers of visibility

Tese apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Geografia e Planeamento Territorial - Especialidade: Geografia Humana

Structural change in the ruhr region: problems, potentials and developments

Due to the decline of the heavy industries in the Ruhr region, the area has to reinvent itself. The orientation towards service industries proves to be a difficult task for the district and its population. This paper examines the challenges, problems and potentials of the Ruhr region against the backdrop of its economical history out of a sociological perspective. Thereby the economical situation and its outcome towards the population stand in the foreground of the paper.

Clearing the cloudy crystal balls: Hybrid modelling for energy and climate change mitigation scenarios – A case study for Portugal

Dissertação para obtenção do Grau de Doutor em Ambiente

Predicting the impacts of climate change on the distribution and conservation of endemic forest land snails of Madeira Island

Climate change is emerging as one of the major threats to natural communities of the world’s ecosystems; and biodiversity hotspots, such as Madeira Island, might face a challenging future in the conservation of endangered land snails’ species. With this thesis, progresses have been made in order to properly understand the impact of climate on these vulnerable taxa; and species distribution models coupled with GIS and climate change scenarios have become crucial to understand the relations between species distribution and environmental conditions, identifying threats and determining biodiversity vulnerability. With the use of MaxEnt, important changes in the species suitable areas were obtained. Laurel forest species, highly dependent on precipitation and relative humidity, may face major losses on their future suitable areas, leading to the possible extinction of several endangered species, such as Leiostyla heterodon. Despite the complexity of the biological systems, the intrinsic uncertainty of species distribution models and the lack of information about land snails’ functional traits, this analysis contributed to a pioneer study on the impacts of climate change on endemic species of Madeira Island. The future inclusion of predictions of the effect of climate change on species distribution as part of IUCN assessments could contribute to species prioritizing, promoting specific management actions and maximizing conservation investment.

Avaliação epidemiológica dos internamentos através de um serviço de urgência de segunda linha (SII)

RESUMO: Introdução: A Comissão Nacional para a reestruturação dos Serviços de Saúde Mental em 2004, fez uma proposta de âmbito regional, ao nível da região de Saúde do Norte, levando a uma alteração da rede de referenciação hospitalar dos internamentos em psiquiatria. Métodos: Realizou-se um estudo epidemiológico longitudinal para avaliar factores preditivos de internamento através de um serviço de Urgência de Segunda Linha (SII), que de algum modo reflectisse o funcionamento dos serviços de internamento na região de Saúde do Norte, ao longo de 12 anos, nomeadamente relacionando com factores organizacionais contemplados no Plano Nacional de Saúde Mental e na reorganização da rede de referenciação hospitalar. Resultados: Durante os 12 anos do estudo, verificou-se um aumento estatisticamente significativo do número e duração de internamentos através do SII, com ponto de partida no ano 2008-2009, e de novo a partir do ano 2010-2011 (nº de internamentos), para o qual contribuiu a alteração da rede hospitalar na região de saúde do Norte, nomeadamente pelo facto do HMLemos, assumir a responsabilidade de novo, dos internamentos das áreas de Famalicão, Gondomar e Santa Maria da Feira. Em relação ao número de internamentos, e na análise exploratória, encontramos nas áreas hospitalares fora da área de influência do HMLemos, uma contribuição positiva significativa para o aumento do nº de internamentos ao longo dos anos com os Dx (290, 296, 297, 291, 309). Em relação à área do HMLemos restrita (PVC, STT, Matosinhos, Porto Ocidental), de referir a contribuição positiva significativa dos Dx 309 e 301, para o aumento do número de internamentos ao longo do tempo, sendo que a prevalência maior se mantém relacionada às Psicoses (Dx 295, 296 e 297). Não se concluiu por uma contribuição estatisticamente significativa ( positiva ou negativa), das variáveis independentes idade, sexo ou natureza do internamento em relação à variável dependente ( duração de internamentos/ano). Em relação á variável dependente (nº de internamentos/ano), relativamente aos doentes fora de área de influência do HMLemos, concluiu-se uma contribuição positiva estatisticamente significativa da variável independente idade. Conclusões: Através da análise exploratória foi possível perceber o esforço realizado pelos hospitais no sentido de melhorar a equidade e acessibilidade dos doentes à Saúde Mental, a par da reorganização da rede hospitalar. De destacar a necessidade de encontrar alternativas às situações de internamento, com menos critérios de gravidade diagnóstica, nomeadamente reforçar a importância da criação de consultas de crises nos respectivos Hospitais de Dia dos DPSM.----------------ABSTRACT:Introduction : The National Commission for the restructuring of mental health services in 2004 , has proposed at a regional level ( North Health Region), a change in the network of hospital referrals of admissions in psychiatry. Methods: We conducted a longitudinal epidemiological study to assess predictors of hospitalization through a Second Line Emergency Service ( SII) , that somehow reflect the operation of inpatient services in North Health Region, over 12 years, particularly relating to organizational factors included in the National Mental Health Plan and reorganization of the hospital referral network. Results: During the period of the study, there was a statistically significant increase in the number and duration of hospitalizations through the SII, with starting point in the year 2008-2009 and again from 2010-2011 (number of admissions) , for which counted the change of the hospital network referral in Northern health region , in particular because Hospital Magalhães Lemos (HMLemos) , took the new responsibility of admissions from areas of Famalicão, Gondomar and Santa Maria da Feira . Regarding the number of hospitalizations, in the exploratory analysis , we found in hospital areas outside the area of influence of HMLemos , a significant positive contribution to the increase in number of admissions over the years with Diagnosis of 290, 296, 297, 291 , 309 in the ICD-9. With respect to the restricted area of HMLemos (PVC, STT , Porto Ocidental and Matosinhos) , we found a significant positive contribution of Diagnosis 309 and 301, to increase the number of hospitalizations over time, with higher prevalence rates remaining the psychoses ( Dx 295, 296 and 297 ) . Did not conclude for any statistically significant contribution (positive or negative) of the independent variables age, sex and nature of admission to the dependent variable (duration of hospitalization / year). In relation to the dependent variable (number of admissions / year) relative to patients outside the area of influence of HMLemos, it was found a statistically significant positive contribution of the independent variable age . Conclusions: Through the exploratory analysis, it was possible to see the efforts made by hospitals to improve the accessibility of patients to Mental Health, throughout the hospital network reorganization. Its important to highlight the need to find alternatives to inpatient admissions in those with less gravity diagnostic criteria, reinforcing the importance of creating specific crisis consultations in Day Hospital regime.

Analysis and visualization of energy use for university campus

The reduction of greenhouse gas emissions is one of the big global challenges for the next decades due to its severe impact on the atmosphere that leads to a change in the climate and other environmental factors. One of the main sources of greenhouse gas is energy consumption, therefore a number of initiatives and calls for awareness and sustainability in energy use are issued among different types of institutional and organizations. The European Council adopted in 2007 energy and climate change objectives for 20% improvement until 2020. All European countries are required to use energy with more efficiency. Several steps could be conducted for energy reduction: understanding the buildings behavior through time, revealing the factors that influence the consumption, applying the right measurement for reduction and sustainability, visualizing the hidden connection between our daily habits impacts on the natural world and promoting to more sustainable life. Researchers have suggested that feedback visualization can effectively encourage conservation with energy reduction rate of 18%. Furthermore, researchers have contributed to the identification process of a set of factors which are very likely to influence consumption. Such as occupancy level, occupants behavior, environmental conditions, building thermal envelope, climate zones, etc. Nowadays, the amount of energy consumption at the university campuses are huge and it needs great effort to meet the reduction requested by European Council as well as the cost reduction. Thus, the present study was performed on the university buildings as a use case to: a. Investigate the most dynamic influence factors on energy consumption in campus; b. Implement prediction model for electricity consumption using different techniques, such as the traditional regression way and the alternative machine learning techniques; and c. Assist energy management by providing a real time energy feedback and visualization in campus for more awareness and better decision making. This methodology is implemented to the use case of University Jaume I (UJI), located in Castellon, Spain.

Context classification for service robots

This dissertation presents a solution for environment sensing using sensor fusion techniques and a context/environment classification of the surroundings in a service robot, so it could change his behavior according to the different rea-soning outputs. As an example, if a robot knows he is outdoors, in a field environment, there can be a sandy ground, in which it should slow down. Contrariwise in indoor environments, that situation is statistically unlikely to happen (sandy ground). This simple assumption denotes the importance of context-aware in automated guided vehicles.

How can packaging change children's eating habits from un-healthy food towards healthier options?

Field Lab: Children consumer behaviour

Generalized Dasymetric Mapping Algorithm for Accessing Land-Use Change

Contém resumo

Machine diagnosis based on artificial immune systems

Nowadays, many of the manufactory and industrial system has a diagnosis system on top of it, responsible for ensuring the lifetime of the system itself. It achieves this by performing both diagnosis and error recovery procedures in real production time, on each of the individual parts of the system. There are many paradigms currently being used for diagnosis. However, they still fail to answer all the requirements imposed by the enterprises making it necessary for a different approach to take place. This happens mostly on the error recovery paradigms since the great diversity that is nowadays present in the industrial environment makes it highly unlikely for every single error to be fixed under a real time, no production stop, perspective. This work proposes a still relatively unknown paradigm to manufactory. The Artificial Immune Systems (AIS), which relies on bio-inspired algorithms, comes as a valid alternative to the ones currently being used. The proposed work is a multi-agent architecture that establishes the Artificial Immune Systems, based on bio-inspired algorithms. The main goal of this architecture is to solve for a resolution to the error currently detected by the system. The proposed architecture was tested using two different simulation environment, each meant to prove different points of views, using different tests. These tests will determine if, as the research suggests, this paradigm is a promising alternative for the industrial environment. It will also define what should be done to improve the current architecture and if it should be applied in a decentralised system.

A wave of change: Labor market and social security impacts of the EU refugee inflow

The recent massive inflow of refugees to the European Union (EU) raises a number of unanswered questions on the economic impact of this phenomenon. To examine these questions, we constructed an overlapping-generations model that describes the evolution of the skill premium and of the welfare benefit level in relevant European countries, in the aftermath of an inflow of asylum-seekers. In our simulation, relative wages of skilled workers increase between 8% and 11% in the period of the inflow; their subsequent time path is dependent on the initial skill premium. The entry of migrants creates a fiscal surplus of about 8%, which can finance higher welfare benefits in the subsequent periods. These effects are weaker in a scenario where refugees do not fully integrate into the labor market.

Predicting market movement with Artificial Neural Networks

This paper presents an application of an Artificial Neural Network (ANN) to the prediction of stock market direction in the US. Using a multilayer perceptron neural network and a backpropagation algorithm for the training process, the model aims at learning the hidden patterns in the daily movement of the S&P500 to correctly identify if the market will be in a Trend Following or Mean Reversion behavior. The ANN is able to produce a successful investment strategy which outperforms the buy and hold strategy, but presents instability in its overall results which compromises its practical application in real life investment decisions.