Planeamento de marketing de eventos : plano de marketing para o festival NOS Alive 2020

Mestrado em MarketingO presente trabalho de projeto tem como principal objetivo a delineação de estratégias de marketing e plano de ação para o Festival de Música NOS Alive. Este objetivo será cumprido através da elaboração de um Plano de Marketing. Este projeto irá ser aplicado ao festival de música NOS Alive, o evento realiza-se desde 2007 no Passeio Marítimo de Algés, em Lisboa. É organizado pela produtora de eventos Everything Is New (EiN) e patrocinado pela NOS. O setor dos eventos e festivais de música é extremamente competitivo, sendo que, só em Portugal, realizaram-se 272 festivais de música, o que representou um aumento de 9,2% em relação ao ano anterior (APORFEST, 2017). Na metodologia, a estratégia utilizada foi baseada nos primeiros passos da action research, em que foram utilizadas tanto fontes primárias como secundárias, na recolha dos dados. Assim, múltiplos métodos de recolha de dados foram utilizados: (1) entrevista semiestruturada ao Diretor da EiN; (2) um questionário online aos participantes de festivais de música; e (3) dados secundários. Desta forma, com os procedimentos referidos anteriormente, foi possível a identificação dos principais pontos fortes e fracos do festival, bem como as oportunidades e ameaças do mercado. Assim, o Plano de Marketing desenvolvido apresenta diversas estratégias e ações, cujo foco é o crescimento contínuo e reforço da imagem do NOS Alive, bem como uma melhoria a nível de resultados alcançados.The main objective of this project is the definition of a marketing strategy and an action plan for the NOS Alive Music Festival. This goal will be achieved through the elaboration of a Marketing Plan. This project is focused on the NOS Alive Music Festival, which is held in the Passeio Marítimo de Algés, in Lisbon, since 2007. The event is organized and produced by Everything Is New (EiN) and sponsored by NOS. The music festival industry is extremely competitive and, in Portugal alone 272 music festivals took place in 2017, representing an increase of 9.2% over the previous year (APORFEST, 2017). The methodologic strategy applied in this research project is based on the first steps of the action research methods, in which both primary and secondary sources were used in the data collection. Multiple methods of data collection were used: (1) a semi-structured interview with EiN's Director; (2) an online questionnaire targeted music festivals participants; and (3) secondary data. This way, considering the above-mentioned procedures, it was possible to identify the main strengths and weaknesses of the festival, as well as the opportunities and threats of this particular market. Therefore, the Marketing Plan developed presents several strategies and their implementation, focused in the continuous growth and reinforcement of the image of the NOS Alive festival, as well as in the improvement of the results achieved.info:eu-repo/semantics/publishedVersio

A methodology to incorporate risk and uncertainty in electricity power planning

Deterministic models based on most likely forecasts can bring simplicity to the electricity power planning but do not explicitly consider uncertainties and risks which are always present on the electricity systems. Stochastic models can account for uncertain parameters that are critical to obtain a robust solution, requiring however higher modelling and computational effort. The aim of this work was to propose a methodology to identify major uncertainties presented in the electricity system and demonstrate their impact in the long-term electricity production mix, through scenario analysis. The case of an electricity system with high renewable contribution was used to demonstrate how renewables uncertainty can be included in long term planning, combining Monte Carlo Simulation with a deterministic optimization model. This case showed that the problem of including risk in electricity planning could be explored in short running time even for large real systems. The results indicate that high growth demand rate combined with climate uncertainty represent major sources of risk for the definition of robust optimal technology mixes for the future. This is particularly important for the case of electricity systems with high share of renewables as climate change can have a major role on the expected power output.COMPETE: POCI-01-0145-FEDER-007043University of Minho. ALGORITM

Schizophrenia: An Exploration of an Acceptance, Mindfulness, and Compassion-based Group Intervention

Objective: This study aimed to develop and apply a brief (five-session) group-based intervention called Compassionate, Mindful and Accepting approach to Psychosis (CMAP) for patients diagnosed with paranoid schizophrenia. Methods: The intervention was based on three major approaches: the mindfulness framework adapted for psychosis with the proposed modifications for meditation work, the rationales from Acceptance and Commitment Therapy, and Compassion-Focused Therapy adapted to psychosis. The intervention was in group format, with one therapist (five 1-hr sessions). Five patients (male, single, between 22 and 35 years old, Caucasian) completed the intervention. Participants completed self-report measures at baseline (1 week prior to intervention) and post-treatment (1 week—additionally the Satisfaction with Intervention Questionnaire). Results: The intervention seemed acceptable for all participants. For illustration of potential benefits of this approach, pre-post results are presented and discussed for two patients. Overall, there was improvement in both patients, although in different measures. Both patients’ conviction in paranoid delusions decreased, while an increase in acting with awareness was observed. Conclusions: Although preliminary, the results are in line with previous research in psychosis. Future directions and clinical implications are discussed

Avaliação dos efeitos biológicos do fogo controlado em formações de matos

Este estudo aborda os efeitos do fogo controlado nas propriedades do solo, desenvolvimento da vegetação, ocorrência e abundância de artrópodes (carabídeos, outros coleópteros e aranhas). Consideraram-se três áreas (e respectivos controlos) onde foi aplicado fogo controlado em 3 anos consecutivos numa área essencialmente ocupada por matos. Realizou-se uma amostragem integrada dos solos em cada área, o coberto vegetal foi determinado em termos da componente específica e do grau de cobertura. A amostragem dos artrópodes realizou-se durante 2 meses com intervalos de 15 dias com recurso a armadilhas (pitfall). As análises ao solo mostram variações em todas as áreas para os nutrientes e condutividade eléctrica. A matéria orgânica e pH evidenciam que o fogo controlado não induziu perturbações no solo. O desenvolvimento da vegetação aponta para uma evolução temporal positiva, destacando-se Pterospartum tridentatum como uma espécie com elevada resiliência. Os resultados referentes aos artrópodes apresentam grande variabilidade, sem um padrão consistente; Abstract: Evaluation of the biological effects of prescribed fire in shrubland formations This study evaluates the effects of prescribed fire on soil properties, vegetation development, arthropod occurrence and abundancy (carabid beetle, other coleoptera and spiders). The field work was conducted in three different areas (and control areas) where prescribed fire was performed in 3 consecutive years in an area with low diversity vegetation cover. Integrated soil samples were collected in each study area. The vegetation was characterized in terms of the occurring species and the covering degree. To sample soil arthropod pitfall traps were used, and the trapped individuals were collected every 15 days along 2 months. Soil analysis showed important variations in all areas for nutrients and electrical conductivity. Organic matter and pH showed that prescribed fire didn’t induce particular changes. Vegetation development points to a positive temporal evolution pattern where Pterospartum tridentatum presents itself as an high resilient species. The arthropod results show a high variability and no consistent patter

Least-cost 100% renewable electricity scenarios

Renewable energy sources (RES) are becoming the main players for the sustainability of the planet and achieving a 100% RES energy system has been attested as a good strategy to go forward in many countries. This target however defies the system to integrate highly variable RES in a system that does not allow for shortage on the energy supply. This work presents a possible 100% RES scenario for an electricity system close to the Portuguese estimating and analysing the economic and technical impacts. The sensitivity of the results to aspects related to RES availability, electricity demand, peak load and interconnection capacity for electricity trading were also analysed. The results highlighted the excess of electricity produced in 100% RES systems and the importance of including interconnection capacity to contribute to overcome this problem.The authors wish to acknowledge the support of ALGORITMI research Centre at University of Minho. This work has been supported by COMPETE: POCI-OI-0145- FEDER-007043 and FCT - Funda<;iio para a Ciencia e Tecnologia within the Project Scope: UID/CEC/I00319/2013.info:eu-repo/semantics/publishedVersio

Multicriteria scenario analysis on electricity production

Energy planning is a complex process involving multiple and conflicting objectives with many agents able to influence decisions. This complexity is frequently addressed with the use of multicriteria tools, relying on a set of criteria and different methods to aggregate all the information in a final ranking of the available alternatives. This paper describes the application of a multicriteria decision tool for the analysis of Portuguese electricity scenarios. A set of criteria is proposed aiming to include social, economic, environmental and technical aspects. Criteria weighting was directly addressed considering 5 approaches: equitable weights, financial, technological, social and environmental perspectives. Results indicate that close to 100% RES scenario is the best option under a social perspective, base scenario represents the best option on a technical approach and scenarios relying on natural gas and wind power units are the best options for the electricity system under equitable weights, economic and environmental approaches.FCT - Fundação para a Ciência e a Tecnologia()The author wish to acknowledge the support of ALGORITMI, a research Centre at the University of Minho. This work is supported by National Funds through FCT - Foundation for Science and Technology, under the project PEst- OE/UID/CEC00319/2013.info:eu-repo/semantics/publishedVersio

Applying computational fluid dynamics in the development of smart ripening rooms for traditional cheeses

Traditional ewe's cheese producers face certain challenges caused by fluctuating environmental parameters inside the ripening room, which lead to lack of homogeneity in the final product. The present research discusses the application of computer fluid dynamics for simulating the distribution of environmental parameters, predicting the airflow pattern, and identifying critical areas where such parameters could cause reduced cheese quality. A new monitoring system was developed including presence sensors, temperature and humidity dataloggers, pneumatic actuators, microcontrollers, and microcomputers connected remotely for control, data visualization, and processing. The validation of the computer simulation and monitoring system was made with a batch of 40 ewe's cheeses distributed in three different zones inside a prototype ripening room and ripened for 35 days. At 35 days, a physical, chemical, and microbiological characterization of cheeses was made for evaluation of the influence of environmental conditions on cheese quality. The comparison between simulated and local measurements showed close agreement, especially concerning air velocity inside the stacks of cheese. The results of Pearson's correlation analysis and PCA concluded that temperature affected the appearance of the rind, hardness, number and area occupied by holes. Humidity affected aw and mFeret. Air velocity affected pH and the circularity of gas holes

Promoting Landscape-Level Forest Management in Fire-Prone Areas: Delegate Management to a Multi-Owner Collaborative, Rent the Land, or Just Sell It?

Forest management at the landscape level is a requirement for reducing wildfire hazard. In contexts where non-industrial private forest ownership prevails, the collaboration among multiple owners has been proposed as the way forward to reach consistent fuel management at that level. The current literature has been focused on identifying the factors that lead to collaboration among owners. In this study we explored other ways to reach landscape-level management in addition to the collaborative way, such as those that may be promoted through land renting or selling. Different contexts and owner types may require different solutions. Thus, we explicitly asked which alternative would be chosen by a given forest owner, from the following set: keeping individual management, entering a multi-owner collaborative arrangement where they delegate management, renting to a pulp company; or selling the land. In a context of small-scale ownership and high recurrence of wildfires in Portugal, a face-to-face survey was carried out to a sample of landowners. Our results suggest that there is not an a priori generalized unwillingness of owners to delegate management, rent or sell the land and thus they seem prone to align themselves with policy strategies to promote management at the landscape level. Multinomial logit regression modelling allowed us to explain and predict owners’ choices among the aforementioned set of alternative management options. We found that choosing multi-ownership collaboration, as opposed to keeping current individual management, is associated with passive management under harsher conditions, by non-residents without bonding capital. The identified factors of owners’ choices show the limited scope of tenancy and land-market mechanisms to promote landscape-level management. The best policy option was found to depend on the owner profiles prevailing in the target area. This suggests that studying the existing context and owner types is required to design effective policiesinfo:eu-repo/semantics/publishedVersio

Modelling academic dropout in computer engineering using arti cial neural networks

School dropout in higher education is an academic, economic, political and social problem, which has a great impact and is difficult to resolve. In order to mitigate this problem, this paper proposes a predictive model of classification, based on artificial neural networks, which allows the prediction, at the end of the first school year, of the propensity that the computer engineering students of a polytechnic institute in the interior of the country have for dropout. A differentiating aspect of this study is that it considers the classifications obtained in the course units of the first academic year as potential predictors of dropout. A new approach in the process of selecting the factors that foreshadow the dropout allowed isolating 12 explanatory variables, which guaranteed a good predictive capacity of the model (AUC = 78.5%). These variables reveal fundamental aspects for the adoption of management strategies that may be more assertive in the combat to academic dropout.info:eu-repo/semantics/publishedVersio