Estudo do controlo interno nas Instituições de Ensino Superior: contributo para a credibilidade da informação financeira

Dissertação apresentada ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do Grau de Mestre em Auditoria Orientada por Mestre Alcina Portugal Dias

Representações dos técnicos de intervenção precoce sobre as famílias e práticas de IP em contexto rural e urbano

O presente estudo visou caraterizar as representações que técnicos de intervenção precoce têm sobre famílias que vivem em meio rural e em meio urbano que recebem apoio das equipas. Foram realizadas entrevistas semi-diretivas, os participantes e entrevistados foram dez docentes com intervenção educativa nas equipas, cinco em apoio direto a famílias de meio rural e cinco a realizar intervenções com famílias de meio urbano. Deste estudo resultaram vários dados qualitativos que depois de analisados e discutidos, levaram a diversas conclusões que vem dar respostas às questões e problemática iniciais. As famílias inseridas nestes contextos têm características que as diferenciam; habilitações, recursos, necessidades e comportamentos em comunidade. Tem aspetos culturais que influenciam as suas atitudes, participação e autonomia e são ou não decisivas no desenvolvimento da criança. Em contexto rural as famílias apresentam um maior número de necessidades comparativamente às famílias de meio urbano. As maiores necessidades das famílias em contexto rural situam-se nas questões financeiras, de formação e apoio técnico e especializado. As maiores necessidades das famílias de contexto urbano situam-se ao nível do fraco apoio familiar e das redes sociais. As necessidades comuns situam-se nas necessidades de informação e promoção da autonomia e competências parentais. As visitas e intervenções domiciliares podem permitir melhorar a identificação das necessidades e recursos das famílias e compreender melhor os critérios de referência de algumas crianças. As oportunidades de aprendizagem são maiores nestes encontros em domicílio, estão presentes em muitos casos, elementos da família alargada, que muitas vezes tem um papel fundamental na educação e estimulação destas crianças. Os docentes de IP em intervenção em contexto urbano, comparativamente com os docentes inseridos em contexto rural, apoiam famílias que na generalidade abrangem áreas profissionais mais vantajosas financeiramente. Estas famílias terão á partida melhores condições para aceder a mais recursos e apoios. Nos dois contextos existe uma necessidade comum, falta de informação e alguma autonomia e competências parentais em relação ao crescimento das crianças. A realização de iii encontros de pais ou criação de grupos de pais que tenham por base a partilha de experiencias e informação, estão planeadas mas não são uma realidade nestas equipas. Nas práticas de qualidade, o profissional deve atuar nos contextos naturais como, a família, ou a comunidade, mas pode incluir também rotinas, brincadeiras, festas etc. cenários que facilitem o dia-a-dia. As famílias têm contextos e rotinas próprias que os profissionais devem identificar, os dados que recolhemos indicam essa necessidade de proceder a avaliação mais atenta das necessidades das famílias. As práticas recomendadas e o enquadramento legislativo são tidos em conta pelos docentes e profissionais das equipas, os recursos documentais são na sua maioria comuns, a todas as equipas participantes, seguindo as orientações e documentos/minutas facultadas pela comissão coordenadora do SNIPI (Sistema Nacional de Intervenção Precoce na Infância) Apesar das recomendações teóricas para práticas de qualidade centradas na família, verificamos que estas fazem parte das preocupações destes docentes, mas nem sempre são implementadas. A problemática da criança parece ser ainda o ponto mais importante dos programas e planos de intervenção e mesmo o critério decisivo para delinear a duração e frequência das intervenções, seja em contexto urbano ou rural. - ABSTRACT This study aimed to characterize the families of rural and urban areas that receive support from Early Intervention Teams. It has been proposed yet whether professionals IP suit their practices to the characteristics of these families and communities integrated in different cultural contexts. Interviews were conducted semidirective, participants were ten respondents and teachers with educational intervention teams, five in direct support to families in rural areas and five interventions with families in urban areas. This study resulted in a number of qualitative data that then analyzed and discussed, led to several conclusions that comes to answer the questions and problems early. The families included in these contexts have characteristics that differentiate them; qualifications, resources, needs and behaviors in the community. Has cultural aspects that influence their attitudes, participation and autonomy and are not decisive in the development of the child. In the rural households have a greater number of needs compared to urban families. The greatest needs of families in rural settings are located in financial matters, training and technical support and expertise. The greatest needs of the urban households are located at the level of weak family support and social networks. Common needs lie in information needs and promoting autonomy and parenting skills. The home visits and interventions may allow improved identification of needs and resources of families and understand the benchmarks of some children. Learning opportunities are greater in these meetings at home, are present in many cases, elements of the extended family, which often plays a key role in education and stimulation of these children. Teachers IP intervention in the urban compared with rural teachers placed in context, support families in general include professional areas more financially advantageous. These families will have better starting conditions for access to more resources and support. In both contexts there is a common need, lack of information and some autonomy and parenting skills in relation to the growth of children. The meetings of parents or creating parent groups that are based on the sharing of information and experiences are planned but are not a reality in these teams. In quality practices, the professional must act in natural contexts like the family or the community, but may also include routines, jokes, and parties’ etc. scenarios that v facilitate the day-to-day. Families have their own contexts and routines that professionals should identify, collect the data indicate that the need for more careful assessment of the needs of families. Best practices and legislative environment are taken into account by teachers and professional teams, the documentary resources are mostly common to all participating teams, following the guidelines and documents / drafts provided by the coordinating committee SNIPI (National Intervention Early Childhood) Despite the theoretical recommendations for quality practices family-centered, we see that these are part of the concerns of teachers, but are not always implemented. The issue of child seems to be still the most important programs and plans and even the decisive criterion for delineating the duration and frequency of interventions whether in urban or rural.

Electric vehicles in urban areas: test cases using a scenario simulator

Electric vehicles introduction will affect cities environment and urban mobility policies. Network system operators will have to consider the electric vehicles in planning and operation activities due to electric vehicles’ dependency on the electricity grid. The present paper presents test cases using an Electric Vehicle Scenario Simulator (EVeSSi) being developed by the authors. The test cases include two scenarios considering a 33 bus network with up to 2000 electric vehicles in the urban area. The scenarios consider a penetration of 10% of electric vehicles (200 of 2000), 30% (600) and 100% (2000). The first scenario will evaluate network impacts and the second scenario will evaluate CO2 emissions and fuel consumption.

Intelligent supervisory control system for home devices using a cyber physical approach

Although we have many electric devices at home, there are just few systems to evaluate, monitor and control them. Sometimes users go out and leave their electric devices turned on what can cause energy wasting and dangerous situations. Therefore most of the users may want to know the using states of their electrical appliances through their mobile devices in a pervasive way. In this paper, we propose an Intelligent Supervisory Control System to evaluate, monitor and control the use of electric devices in home, from outside. Because of the transferring data to evaluate, monitor and control user's location and state of home (ex. nobody at home) may be opened to attacks leading to dangerous situations. In our model we include a location privacy module and encryption module to provide security to user location and data. Intelligent Supervising Control System gives to the user the ability to manage electricity loads by means of a multi-agent system involving evaluation, monitoring, control and energy resource agents.

The influence of curing conditions on the mechanical performance of concrete made with recycled concrete waste

Research on the use of Construction and Demolition Waste (CDW) as recycled aggregate (in particular crushed concrete) for the production of new concrete has by now established the feasibility of this environmentally-friendly use of otherwise harmful waste. However, contrary to conventional concrete (CC), no large applications of concrete made with recycled concrete have been made and there is still a lack of knowledge in some areas of production and performance of recycled aggregate concrete (RAC). One issue concerns curing conditions: these greatly affect the performance of concrete made on site and some potential users of RAC wonder how RAC is affected by far-from-ideal curing conditions. This paper shows the main results of experiments to determine the influence of different curing conditions on the mechanical performance of concrete made with coarse recycled aggregate from crushed concrete. The properties analyzed include compressive strength, splitting tensile strength, modulus of elasticity, and abrasion resistance. The general conclusion in terms of mechanical performance is that RAC is affected by curing conditions roughly in the same way as CC. (C) 2011 Elsevier Ltd. All rights reserved.

Estudo dosimétrico comparativo do Acuros® XB: algoritmo avançado de cálculo de dose com o AAA – Anisotropic Analytical Alghorithm, em tratamentos de radioterapia externa com a técnica de RapidArc™

Mestrado em Radioterapia.

Fuzzy Monte Carlo mathematical model for load curtailment minimization in transmission power systems

This paper presents a methodology which is based on statistical failure and repair data of the transmission power system components and uses fuzzyprobabilistic modeling for system component outage parameters. Using statistical records allows developing the fuzzy membership functions of system component outage parameters. The proposed hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters. A network contingency analysis to identify any overloading or voltage violation in the network is performed once obtained the system states by Monte Carlo simulation. This is followed by a remedial action algorithm, based on optimal power flow, to reschedule generations and alleviate constraint violations and, at the same time, to avoid any load curtailment, if possible, or, otherwise, to minimize the total load curtailment, for the states identified by the contingency analysis. In order to illustrate the application of the proposed methodology to a practical case, the paper will include a case study for the Reliability Test System (RTS) 1996 IEEE 24 BUS.

ANN based support for distributed energy resources scheduling in smart grids

The future scenarios for operation of smart grids are likely to include a large diversity of players, of different types and sizes. With control and decision making being decentralized over the network, intelligence should also be decentralized so that every player is able to play in the market environment. In the new context, aggregator players, enabling medium, small, and even micro size players to act in a competitive environment, will be very relevant. Virtual Power Players (VPP) and single players must optimize their energy resource management in order to accomplish their goals. This is relatively easy to larger players, with financial means to have access to adequate decision support tools, to support decision making concerning their optimal resource schedule. However, the smaller players have difficulties in accessing this kind of tools. So, it is required that these smaller players can be offered alternative methods to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), intended to support smaller players’ resource scheduling. The used methodology uses a training set that is built using the energy resource scheduling solutions obtained with a reference optimization methodology, a mixed-integer non-linear programming (MINLP) in this case. The trained network is able to achieve good schedule results requiring modest computational means.

A new approach for multi-agent coalition formation and management in the scope of electricity markets

This paper presents a new methodology for the creation and management of coalitions in Electricity Markets. This approach is tested using the multi-agent market simulator MASCEM, taking advantage of its ability to provide the means to model and simulate VPP (Virtual Power Producers). VPPs are represented as coalitions of agents, with the capability of negotiating both in the market, and internally, with their members, in order to combine and manage their individual specific characteristics and goals, with the strategy and objectives of the VPP itself. The new features include the development of particular individual facilitators to manage the communications amongst the members of each coalition independently from the rest of the simulation, and also the mechanisms for the classification of the agents that are candidates to join the coalition. In addition, a global study on the results of the Iberian Electricity Market is performed, to compare and analyze different approaches for defining consistent and adequate strategies to integrate into the agents of MASCEM. This, combined with the application of learning and prediction techniques provide the agents with the ability to learn and adapt themselves, by adjusting their actions to the continued evolving states of the world they are playing in.

Ancillary service market simulation

Power systems operation in a liberalized environment requires that market players have access to adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tools must include ancillary market simulation. This paper deals with ancillary services negotiation in electricity markets. The proposed concepts and methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case concerning the dispatch of ancillary services using two different methods (Linear Programming and Genetic Algorithm approaches) is included in the paper.

Zonal prices analysis supported by a data mining based methodology

A methodology based on data mining techniques to support the analysis of zonal prices in real transmission networks is proposed in this paper. The mentioned methodology uses clustering algorithms to group the buses in typical classes that include a set of buses with similar LMP values. Two different clustering algorithms have been used to determine the LMP clusters: the two-step and K-means algorithms. In order to evaluate the quality of the partition as well as the best performance algorithm adequacy measurements indices are used. The paper includes a case study using a Locational Marginal Prices (LMP) data base from the California ISO (CAISO) in order to identify zonal prices.

Exposure to dust in poultry: the importance of task differences for detailed exposure assessment

Dust is a complex mixture of particles of organic and inorganic origin and different gases absorbed in aerosol droplets. In a poultry unit include dried faecal matter and urine, skin flakes, ammonia, carbon dioxide, pollens, feed and litter particles, feathers, grain mites, fungi spores, bacteria, viruses and their constituents. Dust particles vary in size and differentiation between particle size fractions is important in health studies in order to quantify penetration within the respiratory system. A descriptive study was developed in order to assess exposure to particles in a poultry unit during different operations, namely routine examination and floor turn over. Direct-reading equipment was used (Lighthouse, model 3016 IAQ). Particle measurement was performed in 5 different sizes (PM0.5; PM1.0; PM2.5; PM5.0; PM10). The chemical composition of poultry litter was also determined by neutron activation analysis. Normally, the litter of poultry pavilions is turned over weekly and it was during this operation that the higher exposure of particles was observed. In all the tasks considered PM5.0 and PM10.0 were the sizes with higher concentrations values. PM10 is what turns out to have higher values and PM0.5 the lowest values. The chemical element with the highest concentration was Mg (5.7E6 mg.kg-1), followed by K (1.5E4 mg.kg-1), Ca (4.8E3 mg.kg-1), Na (1.7E3 mg.kg-1), Fe (2.1E2 mg.kg-1) and Zn (4.2E1 mg.kg-1). This high presence of particles in the respirable range (<5–7μm) means that poultry dust particles can penetrate into the gas exchange region of the lung. Larger particles (PM10) present a range of concentrations from 5.3E5 and 3.0E6 mg/m3.

Health and psychosocial effects of flexible working hours

OBJECTIVE: To examine whether any impairments in health and social lives can be found under different kinds of flexible working hours, and whether such effects are related to specific characteristics of these working hours. METHODS: Two studies - a company based survey (N=660) and an internet survey (N=528) - have been conducted. The first one was a questionnaire study (paper and pencil) on employees working under some 'typical' kinds of different flexible working time arrangements in different companies and different occupational fields (health care, manufacturing, retail, administration, call centres). The second study was an internet-based survey, using an adaptation of the questionnaire from the first study. RESULTS: The results of both studies consistently show that high variability of working hours is associated with increased impairments in health and well-being and this is especially true if this variability is company controlled. These effects are less pronounced if variability is self-controlled; however, autonomy does not compensate the effects of variability. CONCLUSIONS: Recommendations for an appropriate design of flexible working hours should be developed in order to minimize any impairing effects on health and psychosocial well-being; these recommendations should include - besides allowing for discretion in controlling one's (flexible) working hours - that variability in flexible working hours should be kept low (or at least moderate), even if this variability is self-controlled.

Can power laws help us understand gene and proteome information?

Proteins are biochemical entities consisting of one or more blocks typically folded in a 3D pattern. Each block (a polypeptide) is a single linear sequence of amino acids that are biochemically bonded together. The amino acid sequence in a protein is defined by the sequence of a gene or several genes encoded in the DNA-based genetic code. This genetic code typically uses twenty amino acids, but in certain organisms the genetic code can also include two other amino acids. After linking the amino acids during protein synthesis, each amino acid becomes a residue in a protein, which is then chemically modified, ultimately changing and defining the protein function. In this study, the authors analyze the amino acid sequence using alignment-free methods, aiming to identify structural patterns in sets of proteins and in the proteome, without any other previous assumptions. The paper starts by analyzing amino acid sequence data by means of histograms using fixed length amino acid words (tuples). After creating the initial relative frequency histograms, they are transformed and processed in order to generate quantitative results for information extraction and graphical visualization. Selected samples from two reference datasets are used, and results reveal that the proposed method is able to generate relevant outputs in accordance with current scientific knowledge in domains like protein sequence/proteome analysis.

Ancillary services market clearing simulation: a comparison between deterministic and heuristic methods

Electricity market players operating in a liberalized environment requires access to an adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tool must include ancillary market simulation. This paper proposes two different methods (Linear Programming and Genetic Algorithm approaches) for ancillary services dispatch. The methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case based on California Independent System Operator (CAISO) data concerning the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is included in this paper.