Self-managing agents for dynamic scheduling in manufacturing

The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using cooperative negotiation. Scheduling resolution requires the intervention of highly skilled human problem-solvers. This is a very hard and challenging domain because current systems are becoming more and more complex, distributed, interconnected and subject to rapidly changing. A natural Autonomic Computing (AC) evolution in relation to Current Computing is to provide systems with Self-Managing ability with a minimum human interference.

As freguesias e as políticas educativas locais: as necessidades e as obrigações

Dissertação apresentada para obtenção do grau de Mestre em Ciências da Educação Área de especialização em Administração Escolar 2013

Management of agricultural waste on a sample of farms on the island of São Miguel (Açores)

Dissertação de Mestrado em Ambiente, Saúde e Segurança.

Adaptive learning in agents behaviour: a framework for electricity markets simulation

Electricity markets are complex environments with very particular characteristics. A critical issue regarding these specific characteristics concerns the constant changes they are subject to. This is a result of the electricity markets’ restructuring, which was performed so that the competitiveness could be increased, but it also had exponential implications in the increase of the complexity and unpredictability in those markets scope. The constant growth in markets unpredictability resulted in an amplified need for market intervenient entities in foreseeing market behaviour. The need for understanding the market mechanisms and how the involved players’ interaction affects the outcomes of the markets, contributed to the growth of usage of simulation tools. Multi-agent based software is particularly well fitted to analyze dynamic and adaptive systems with complex interactions among its constituents, such as electricity markets. This dissertation presents ALBidS – Adaptive Learning strategic Bidding System, a multiagent system created to provide decision support to market negotiating players. This system is integrated with the MASCEM electricity market simulator, so that its advantage in supporting a market player can be tested using cases based on real markets’ data. ALBidS considers several different methodologies based on very distinct approaches, to provide alternative suggestions of which are the best actions for the supported player to perform. The approach chosen as the players’ actual action is selected by the employment of reinforcement learning algorithms, which for each different situation, simulation circumstances and context, decides which proposed action is the one with higher possibility of achieving the most success. Some of the considered approaches are supported by a mechanism that creates profiles of competitor players. These profiles are built accordingly to their observed past actions and reactions when faced with specific situations, such as success and failure. The system’s context awareness and simulation circumstances analysis, both in terms of results performance and execution time adaptation, are complementary mechanisms, which endow ALBidS with further adaptation and learning capabilities.

Adaptive learning in agents behaviour: A framework for electricity markets simulation

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. This paper presents a methodology to provide decision support to electricity market negotiating players. This model allows integrating different strategic approaches for electricity market negotiations, and choosing the most appropriate one at each time, for each different negotiation context. This methodology is integrated in ALBidS (Adaptive Learning strategic Bidding System) – a multiagent system that provides decision support to MASCEM's negotiating agents so that they can properly achieve their goals. ALBidS uses artificial intelligence methodologies and data analysis algorithms to provide effective adaptive learning capabilities to such negotiating entities. The main contribution is provided by a methodology that combines several distinct strategies to build actions proposals, so that the best can be chosen at each time, depending on the context and simulation circumstances. The choosing process includes reinforcement learning algorithms, a mechanism for negotiating contexts analysis, a mechanism for the management of the efficiency/effectiveness balance of the system, and a mechanism for competitor players' profiles definition.

Assessment of groundwater contamination in an agricultural peri-urban area (NW Portugal): an integrated approach

The excessive use of pesticides and fertilisers in agriculture has generated a decrease in groundwater and surface water quality in many regions of the EU, constituting a hazard for human health and the environment. Besides, on-site sewage disposal is an important source of groundwater contamination in urban and peri-urban areas. The assessment of groundwater vulnerability to contamination is an important tool to fulfil the demands of EU Directives. The purpose of this study is to assess the groundwater vulnerability to contamination related mainly to agricultural activities in a peri-urban area (Vila do Conde, NW Portugal). The hydrogeological framework is characterised mainly by fissured granitic basement and sedimentary cover. Water samples were collected and analysed for temperature, pH, electrical conductivity, chloride, phosphate, nitrate and nitrite. An evaluation of groundwater vulnerability to contamination was applied (GOD-S, Pesticide DRASTIC-Fm, SINTACS and SI) and the potential nitrate contamination risk was assessed, both on a hydrogeological GIS-based mapping. A principal component analysis was performed to characterised patterns of relationship among groundwater contamination, vulnerability, and the hydrogeological setting assessed. Levels of nitrate above legislation limits were detected in 75 % of the samples analysed. Alluvia units showed the highest nitrate concentrations and also the highest vulnerability and risk. Nitrate contamination is a serious problem affecting groundwater, particularly shallow aquifers, especially due to agriculture activities, livestock and cesspools. GIS-based cartography provided an accurate way to improve knowledge on water circulation models and global functioning of local aquifer systems. Finally, this study highlights the adequacy of an integrated approach, combining hydrogeochemical data, vulnerability assessments and multivariate analysis, to understand groundwater processes in peri-urban areas.

Opening Pousada da Serra da Estrela in Covilhã: A two-way impact analysis - Interacting with public agents

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

Novel insights into the action of antimicrobial agents against human pathogens

Dissertation presented to obtain the Ph.D degree in Biochemistry

Mortalidade por neoplasias malignas na população residente próximo de minas de urânio em Portugal : Epidemiologia

RESUMO - Introdução: O encerramento das minas de urânio em Portugal tem suscitado preocupação no que respeita aos eventuais efeitos que as radiações emitidas e os agentes químicos presentes terão na saúde das populações. Para esclarecer a existência de tal efeito foi delineado um programa de investigação em que o presente estudo se enquadra. Sendo conhecido que as populações expostas a minas de urânio, nomeadamente os mineiros, têm risco acrescido de sofrer de neoplasias, especialmente de «neoplasias da traqueia, dos brônquios e do pulmão», foi este o grupo de neoplasias seleccionado para constituir a hipótese principal do estudo. Assim, o estudo pretendeu verificar se existe associação entre exposição a minas de urânio e suas escombreiras (especialmente à mina da Urgeiriça, no concelho de Nelas) e a mortalidade por alguns grupos de neoplasias malignas, nomeadamente as «neoplasias malignas da traqueia, dos brônquios e do pulmão». Material e métodos: Trata-se de um estudo «ecológico» em que se consideraram «expostos» os residentes no concelho de Nelas, bem como no conjunto de concelhos com minas de urânio, e «não expostos» os residentes nos restantes concelhos das NUTS Dão-Lafões e Beira Interior Norte e Serra da Estrela. A análise centrou-se no cálculo, para cada concelho ou grupo de concelhos, das razões padronizadas de mortalidade (RPM) por «neoplasias malignas da traqueia, dos brônquios e do pulmão», por «neoplasia maligna do estômago» e por «todas as neoplasias malignas » no período de vinte anos compreendido entre 1980 e 1999. Resultados: Tomando os dois sexos em conjunto, o concelho de Nelas teve a RPM mais elevada para as «neoplasias malignas da traqueia, dos brônquios e do pulmão» (RPM = 133; p = 0,003). Teve também o valor mais elevado no sexo masculino (RPM = 126, não significativo) e o segundo mais elevado no sexo feminino (RPM = 142, não significativo). A razão das RPM concelho de Nelas/concelhos limítrofes de Nelas foi 1,46, p = 0,002 (homens: 1,50 p = 0,003; mulheres: 1,27, não significativo). As razões das RPM concelho de Nelas/concelhos com minas (1,94, p = 0,001) e concelho de Nelas/concelhos sem minas (1,57, p = 0,001) foram claramente superiores a 1. Pelo contrário, as RPM por «neoplasia maligna do estômago » foram sobretudo elevadas nos concelhos da NUTS Beira Interior Norte, que inclui grande parte do distrito da Guarda, (Trancoso: 154, p = 0,000; Sabugal: 146, p = 0,000), embora se tenham observado valores elevados em alguns concelhos da NUTS Dão-Lafões (Vila Nova de Paiva: 154, p = 0,001). Saliente-se que os dois valores mais baixos ocorreram nos concelhos de Tábua (RPM = 57; p = 0,000) e de Nelas (RPM = 60; p = 0,000). Para o conjunto de «todas as neoplasias malignas» as RPM dos vários concelhos variaram entre 62 e 100 sem que a distribuição desses valores sugerisse qualquer associação positiva relevante. Discussão: Os resultados mostraram que a população do concelho de Nelas teve, no período estudado, um risco acrescido de morrer por «neoplasias malignas da traqueia, dos brônquios e do pulmão» quando comparado com a dos concelhos limítrofes e restantes concelhos das NUTS estudadas. A existência da mina da Urgeiriça e da sua escombreira é uma possível causa desse excesso de mortalidade. Ele poderá ter sido gerado, por um lado, através da existência de uma percentagem elevada de ex-mineiros, bem como, por outro lado, através de uma exposição ambiental geral, facto este que é sustentado pela ocorrência de excesso de mortalidade tanto em homens como em mulheres. O excesso de mortalidade por aquele grupo de neoplasias pode ainda ter origem noutras exposições cujo potencial papel é discutido.

A new credit monitoring framework for agents' networks

The purpose of this work is to develop a practicable approach for Telecom firms to manage the credit risk exposition to their commercial agents��� network. Particularly it will try to approach the problem of credit concession to clients’ from a corporation perspective and explore the particular scenario of agents that are part of the commercial chain of the corporation and therefore are not end-users. The agents��� network that served as a model for the presented study is composed by companies that, at the same time, are both clients and suppliers of the Telecommunication Company. In that sense the credit exposition analysis must took into consideration all financial fluxes, both inbound and outbound. The current strain on the Financial Sector in Portugal, and other peripheral European economies, combined with the high leverage situation of most companies, generates an environment prone to credit default risk. Due to these circumstances managing credit risk exposure is becoming increasingly a critical function for every company Financial Department. The approach designed in the current study combined two traditional risk monitoring tools: credit risk scoring and credit limitation policies. The objective was to design a new credit monitoring framework that is more flexible, uses both external and internal relationship history to assess risk and takes into consideration commercial objectives inside the agents��� network. Although not explored at length, the blueprint of a Credit Governance model was created for implementing the new credit monitoring framework inside the telecom firm. The Telecom Company that served as a model for the present work decided to implement the new Credit Monitoring framework after this was presented to its Executive Commission.

Ultra high performance supercritical fluid chromatography coupled with tandem mass spectrometry for screening of doping agents. II: Analysis of biological samples.

The potential and applicability of UHPSFC-MS/MS for anti-doping screening in urine samples were tested for the first time. For this purpose, a group of 110 doping agents with diverse physicochemical properties was analyzed using two separation techniques, namely UHPLC-MS/MS and UHPSFC-MS/MS in both ESI+ and ESI- modes. The two approaches were compared in terms of selectivity, sensitivity, linearity and matrix effects. As expected, very diverse retentions and selectivities were obtained in UHPLC and UHPSFC, proving a good complementarity of these analytical strategies. In both conditions, acceptable peak shapes and MS detection capabilities were obtained within 7min analysis time, enabling the application of these two methods for screening purposes. Method sensitivity was found comparable for 46% of tested compounds, while higher sensitivity was observed for 21% of tested compounds in UHPLC-MS/MS and for 32% in UHPSFC-MS/MS. The latter demonstrated a lower susceptibility to matrix effects, which were mostly observed as signal suppression. In the case of UHPLC-MS/MS, more serious matrix effects were observed, leading typically to signal enhancement and the matrix effect was also concentration dependent, i.e., more significant matrix effects occurred at the lowest concentrations.

Factors associated with latent tuberculosis among asylum seekers in Switzerland: a cross-sectional study in Vaud County.

BACKGROUND: Screening and treatment of latent tuberculosis infection (LTBI) in asylum seekers (AS) may prevent future cases of tuberculosis. As the screening with Interferon Gamma Release Assay (IGRA) is costly, the objective of this study was to assess which factors were associated with LTBI and to define a score allowing the selection of AS with the highest risk of LTBI. METHODS: In across-sectional study, AS seekers recently arrived in Vaud County, after screening for tuberculosis at the border were offered screening for LTBI with T-SPOT.TB and questionnaire on potentially risk factors. The factors associated with LTBI were analyzed by univariate and multivariate regression. RESULTS: Among 393 adult AS, 98 (24.93%) had a positive IGRA response, five of them with active tuberculosis previously undetected. Six factors associated with LTBI were identified in multivariate analysis: origin, travel conditions, marital status, cough, age and prior TB exposure. Their combination leads to a robust LTBI predictive score. CONCLUSIONS: The prevalence of LTBI and active tuberculosis in AS is high. A predictive score integrating six factors could identify the asylum seekers with the highest risk for LTBI.

Letter health consultation : foundry slag used for road rock, Washington County, Iowa (2008)

A resident within one of the counties in your region has expressed some concern regarding potential adverse health effects from dust and material that may be found within foundry slag that has been used as a replacement for road rock. This consultation includes a comparison of nuisance issues from dust generated from a road constructed of foundry slag and dust generated from a road constructed from typical road rock. This consultation also includes a discussion of the potential health effects of exposure of heavy metals from incidental ingestion of foundry slag.

Public health assessment : Railroad Avenue groundwater contamination, West Des Moines, Polk County, Iowa EPA facility ID: IA0001610963 (2004)

The Railroad Avenue groundwater contamination site (the site) is in West Des Moines, Polk County, Iowa. Located on approximately 120 acres. The site comprises mixed residential, industrial and commercial properties. Underneath the site, chlorinated volatile organic compounds (VOCs) have contaminatcd the shallow (i.e., 30-50 feet deep) groundwater. These compounds have compromised several shallow wells within the West Des Moines water works system. A contamination source, however, has not yet been identified. In 1993, routine water analysis by the City of West Des Moines identified 1, 2 cis-dichlorocthylcne (1, 2 cis-DCE) at a concentration of 1.2 μg/L (micrograms) per liter of water) in the water supply. Subsequently. several shallow municipal wells were found to be contaminated by VOCs, including 1. 2 cis-DCE, trichloroethylene (TCE), tetrachloroethylene (PCE) and benzene. Five of these wells have been taken out of service. Because of the impact on the West Des Moines water supply, the U.S. Environmental Protection Agency (USEPA) has assigned the site to the National Priorities List. Surface water und sediment at the site have not been impacted by the VOCs. Testing for VOCs in surface soils has not revealed any significant VOC contamination. Subsurface soils -- generally 8 feet or greater in depth -- are contaminated with VOCs, but at levels which should not present a health hazard. The past, present, and future health hazard category chosen for this site is no apparent public health hazard. This category is used when exposure to toxins might be occurring or might have occurrcd in the past, but at levels below any known health hazard. Analysis of available environmental data has not revealed that residental or commercial water customers are or have been exposed to VOCs at concentrations that might cause any adverse health effects.