A influência da poesia no desenvolvimento da linguagem oral de uma aluna com Trissomia 21

O conceito de poesia é uma forma de arte e traduz-se como um espelho do pensamento do homem realizado na palavra oral e escrita. A poesia poderá ensinar o homem no estudo da palavra, através do seu significado nos valores denotativo e/ou conotativo. A aplicação destes conceitos faz sentido, a partir da ideia de que a palavra no contexto da poesia pode produzir emoções e sensações nas pessoas a quem ela é transmitida. A poesia tem funções multissensoriais que podem definir o input linguístico como forma de desenvolver a linguagem. Vários são os estudos que apontam para as principais competências deficitárias nos indivíduos com Trissomia 21, mas poucas são as investigações que se debruçam sobre a influência da poesia nas várias competências linguísticas. Uma perceção mais ampla e visionária da Arte na voz da poesia pela parte da escola, professores e, em particular, professores de Educação Especial permitirá adotar estratégias de intervenção inovadoras. Pretende este estudo investigar e analisar a forma como a poesia pode influenciar o desenvolvimento da linguagem oral numa aluna com Trissomia 21. Neste projeto, a partir da identificação do caso-problema e da constatação da ausência da poesia no currículo da aluna, procurou-se intervir, no sentido de melhorar as suas competências linguísticas, utilizando para tanto a poesia. A implementação do projeto aconteceu ao longo de seis meses durante quinze sessões de intervenção individuais. Os resultados do projeto mostram que, em todas as competências linguísticas, houve um processo evolutivo, sendo particularmente significativo o desenvolvimento da competência fonológica, aumento de vocabulário e uma maior noção da palavra em contexto. Estes dados levam-nos a crer que a utilização da poesia poderá, também, constituir uma forma de promover a socialização e a autonomia, revelando os efeitos colaterais que poderão decorrer deste tipo de intervenção. - Abstract The concept of poetry is a form of art, showing the man's thought held in the spoken and written word. Poetry can teach man in the study of the word, its meaning through denotative and/or connotative values. The application of these concepts makes sense, from the idea that the word in the context of poetry can stir emotions and feelings in the people to whom it is transmitted. Poetry has multisensory functions that can set the linguistic input as a way to develop language at phonological, lexical, semantics, pragmatic and morfosyntactic skills. There are several studies that point out to the key skills deficit in individuals with Trisomy 21, but there are few investigations that focus on the influence of poetry in various language skills. A broader perception and vision of poetry as art given by school, and teachers, and, particularly teachers of Special Education will allow a more effective intervention strategies. This study aims to investigate and analyze how poetry can influence the development of oral language in a student with Trisomy 21. In this project, we tried to intervene, improving the language skills of the student, using poetry from the identification case-problem and confirmation of the absence of poetry in her curriculum. The implementation of the project took place throughout six months for fifteen individual intervention sessions. The project results show that, in all language skills, there was a progressive process, being particularly significant the development of the phonological skills, increased vocabulary and a greater sense of the word into context. These data lead us to believe that the use of poetry can also be a way to promote socialization and autonomy, revealing the side effects that may result from this type of intervention.

Particle swarm optimization applied to integrated demand response resources scheduling

The concept of demand response has a growing importance in the context of the future power systems. Demand response can be seen as a resource like distributed generation, storage, electric vehicles, etc. All these resources require the existence of an infrastructure able to give players the means to operate and use them in an efficient way. This infrastructure implements in practice the smart grid concept, and should accommodate a large number of diverse types of players in the context of a competitive business environment. In this paper, demand response is optimally scheduled jointly with other resources such as distributed generation units and the energy provided by the electricity market, minimizing the operation costs from the point of view of a virtual power player, who manages these resources and supplies the aggregated consumers. The optimal schedule is obtained using two approaches based on particle swarm optimization (with and without mutation) which are compared with a deterministic approach that is used as a reference methodology. A case study with two scenarios implemented in DemSi, a demand Response simulator developed by the authors, evidences the advantages of the use of the proposed particle swarm approaches.

LMP triggered real time demand response events

Recent changes in power systems mainly due to the substantial increase of distributed generation and to the operation in competitive environments has created new challenges to operation and planning. In this context, Virtual Power Players (VPP) can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. Demand response market implementation has been done in recent years. Several implementation models have been considered. An important characteristic of a demand response program is the trigger criterion. A program for which the event trigger depends on the Locational Marginal Price (LMP) used by the New England Independent System operator (ISO-NE) inspired the present paper. This paper proposes a methodology to support VPP demand response programs management. The proposed method has been computationally implemented and its application is illustrated using a 32 bus network with intensive use of distributed generation. Results concerning the evaluation of the impact of using demand response events are also presented.

Demand response programs definition supported by clustering and classification techniques

The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.