Bases teóricas dos processos de medicalização: um olhar sobre as forças motrizes

Introdução: O tema medicalização emerge como objeto de estudo no campo da sociologia da saúde, a partir da década de 70, nas vozes de Irving Zola, Ivan Illich, Peter Conrad e Michel Foucalt; as quais indicaram a crescente influência da medicina em campos que até então não lhe pertenciam. E, no decorrer dos anos, o termo vem sendo apropriado por vários campos: na saúde, na educação, na psicologia, entre outros. Esta configuração levou alguns estudiosos da primeira década do século XXI, a se preocupar com o uso impreciso e vago do conceito de medicalização na produção científica. Neste sentido, este estudo busca olhar para os processos de medicalização, tomando-o em sua pluralidade a fim de discernir as principais forças motrizes e coteja-las com as mudanças na contemporaneidade. Objetivo: Recuperar as forças motrizes contidas nas principais contribuições dos autores primários sobre os processos de medicalização. Método: Realizou-se um exercício hermenêutico composto pelos seguintes passos: leitura profunda do texto, fichamento dos aspectos centrais que caracterizam as diversas concepções sobre medicalização. Interpretação do conteúdo por meio da abstração dos núcleos de sentido e dos referenciais teóricos que lhe dão suporte. Resultados: A partir deste movimento reflexivo e crítico conseguiu-se desvelar quatro conceitos nucleares que representam as principais forças motrizes: a indústria, as instituições, o Estado e a sociedade. Zola oferece indícios que o Estado e a indústria teriam levado a sociedade à dependência da medicina. Para Illich, a medicina, por si só, detém o poder comparada as outras instituições. Para Michel Foucault, a medicina deixou de ser uma ciência pura e transformou-se numa instituição subordinada a um sistema econômico e de poder, enfim a uma lógica subjacente aos princípios e regras de governo. Em contrapartida, para Conrad a medicalização não constitui um empreendimento exclusivo da medicina, prevalecendo os interesses de outras instituições e organizações sociais. O sentido com que cada um desses conceitos é usado difere entre os autores e a distinção desses aspectos é chave para compreender a contribuição efetiva de cada um. Da mesma forma, ocorre quando os autores discutem as consequências e os efeitos causados pelos processos de medicalização. Alguns autores direcionam seus efeitos para os indivíduos, num processo de exacerbação da individualização; enquanto que outros focam os efeitos da medicalização nas políticas de saúde e na questão econômica associada ao oneroso custo financeiro para a sociedade e o país. Considerações finais: A recuperação e a compreensão dos significados subjacentes às principais forças motrizes presentes nas contribuições de cada autor apresentadas nesta investigação constituem-se em passo importante para subsidiar a reflexão sobre processos concretos de medicalização no início do século XXI, um período marcado por aceleradas transformações, no qual, entre outros aspectos, a medicina e várias instituições têm sido crescentemente, capturadas para satisfazer, de um lado o consumismo, e de outro, a avidez pelo lucro do mercado capitalista; ao mesmo tempo em que forças desagregadoras atravessam os sujeitos impactando sua autonomia e identidade política, social e econômica.

Short-term Load Forecasting Using Neural Network For Future Smart Grid Application

Short-term load forecasting of power system has been a classic problem for a long time. Not merely it has been researched extensively and intensively, but also a variety of forecasting methods has been raised. This thesis outlines some aspects and functions of smart meter. It also presents different policies and current statuses as well as future projects and objectives of SG development in several countries. Then the thesis compares main aspects about latest products of smart meter from different companies. Lastly, three types of prediction models are established in MATLAB to emulate the functions of smart grid in the short-term load forecasting, and then their results are compared and analyzed in terms of accuracy. For this thesis, more variables such as dew point temperature are used in the Neural Network model to achieve more accuracy for better short-term load forecasting results.

Egypt: Changes and Challenges of Political Transition. MEDPRO Technical Report No. 4/May 2011

Hosni Mubarak’s regime and its power system enjoyed remarkable stability for over 30 years. On 11 February 2011, after 18 days of mass protests, the Egyptian president was forced to step down, revealing the unsustainability of the political and economic system that had ensured his continuity for so long. While the revolution of January 25th led to a major success – the fall of Hosni Mubarak – Egypt’s political future is still opaque and exposed to a number of risks. This paper first highlights the factors underpinning the former stability of Mubarak’s regime; it then assesses the causes of its underlying unsustainability, leading to the anti-government popular mobilisation in January-February 2011 and the removal of Mubarak; finally the paper evaluates the prospects for a genuine democratic transition in Egypt, by looking at the main political and socio-economic challenges facing the country.

Consensus, contradiction, and conciliation of interests: the geo-economics of the Energy Union. EPC Policy Brief, 8 July 2015

European Union energy policy calls for nothing less than a profound transformation of the EU's energy system: by 2050 decarbonised electricity generation with 80-95% fewer greenhouse gas emissions, increased use of renewables, more energy efficiency, a functioning energy market and increased security of supply are to be achieved. Different EU policies (e.g., EU climate and energy package for 2020) are intended to create the political and regulatory framework for this transformation. The sectorial dynamics resulting from these EU policies already affect the systems of electricity generation, transportation and storage in Europe, and the more effective the implementation of new measures the more the structure of Europe's power system will change in the years to come. Recent initiatives such as the 2030 climate/energy package and the Energy Union are supposed to keep this dynamic up. Setting new EU targets, however, is not necessarily the same as meeting them. The impact of EU energy policy is likely to have considerable geo-economic implications for individual member states: with increasing market integration come new competitors; coal and gas power plants face new renewable challengers domestically and abroad; and diversification towards new suppliers will result in new trade routes, entry points and infrastructure. Where these implications are at odds with powerful national interests, any member state may point to Article 194, 2 of the Lisbon Treaty and argue that the EU's energy policy agenda interferes with its given right to determine the conditions for exploiting its energy resources, the choice between different energy sources and the general structure of its energy supply. The implementation of new policy initiatives therefore involves intense negotiations to conciliate contradicting interests, something that traditionally has been far from easy to achieve. In areas where this process runs into difficulties, the transfer of sovereignty to the European level is usually to be found amongst the suggested solutions. Pooling sovereignty on a new level, however, does not automatically result in a consensus, i.e., conciliate contradicting interests. Rather than focussing on the right level of decision making, European policy makers need to face the (inconvenient truth of) geo-economical frictions within the Union that make it difficult to come to an arrangement. The reminder of this text explains these latter, more structural and sector-related challenges for European energy policy in more detail, and develops some concrete steps towards a political and regulatory framework necessary to overcome them.

Fourth report on survey of electric utility applications of digital computers.

"S-109-B."

Eigenvalue sensitivity analysis for probabilistic small signal stability assessment

This paper presents a method to analyze the first order eigenvalue sensitivity with respect to the operating parameters of a power system. The method is based on explicitly expressing the system state matrix into sub-matrices. The eigenvalue sensitivity is calculated based on the explicitly formed system state matrix. The 4th order generator model and 4th order exciter system model are used to form the system state matrix. A case study using New England 10-machine 39-bus system is provided to demonstrate the effectiveness of the proposed method. This method can be applied into large scale power system eigenvalue sensitivity with respect to operating parameters.

Differential evolution based total transfer capability assessment with optimal dispatch

In this paper, a new differential evolution (DE) based power system optimal available transfer capability (ATC) assessment is presented. Power system total transfer capability (TTC) is traditionally solved by the repeated power flow (RPF) method and the continuation power flow (CPF) method. These methods are based on the assumption that the productions of the source area generators are increased in identical proportion to balance the load increment in the sink area. A new approach based on DE algorithm to generate optimal dispatch both in source area generators and sink area loads is proposed in this paper. This new method can compute ATC between two areas with significant improvement in accuracy compared with the traditional RPF and CPF based methods. A case study using a 30 bus system is given to verify the efficiency and effectiveness of this new DE based ATC optimization approach.

A novel grid computing approach for probabilistic small signal analysis

Grid computing is an advanced technique for collaboratively solving complicated scientific problems using geographically and organisational dispersed computational, data storage and other recourses. Application of grid computing could provide significant benefits to all aspects of power system that involves using computers. Based on our previous research, this paper presents a novel grid computing approach for probabilistic small signal stability (PSSS) analysis in electric power systems with uncertainties. A prototype computing grid is successfully implemented in our research lab to carry out PSSS analysis on two benchmark systems. Comparing to traditional computing techniques, the gird computing has given better performances for PSSS analysis in terms of computing capacity, speed, accuracy and stability. In addition, a computing grid framework for power system analysis has been proposed based on the recent study.

Optimal dispatch of spinning reserve in a competitive electricity market using genetic algorithms

Ancillary service plays a key role in maintaining operation security of the power system in a competitive electricity market. The spinning reserve is one of the most important ancillary services that should be provided effectively. This paper presents the design of an integrated market for energy and spinning reserve service with particular emphasis on coordinated dispatch of bulk power and spinning reserve services. A new market dispatching mechanism has been developed to minimize the cost of service while maintaining system security. Genetic algorithms (GA) are used for finding the global optimal solutions for this dispatch problem. Case studies and corresponding analyses have been carried out to demonstrate and discuss the efficiency and usefulness of the proposed method.

Recent developments in particulate-based vaccines

Vaccines remain a key tool in the defence against major diseases. However, in the development of vaccines a trade off between safety and efficacy is required with newer vaccines, based on sub-unit proteins and peptides, displaying improved safety profiles yet suffering from low efficacy. Adjuvants can be employed to improve their potency, but currently there are only a limited number of adjuvant systems licensed for clinical use. Of the new adjuvants being investigated, particulate systems offer several advantages including: passive targeting to the antigen-presenting cells within the immune system, protection against adjuvant degradation, and ability for sustained antigen release. There has been a range of particulate vaccine delivery systems outlined in recent patents including polymer-based microspheres (which are generally more focused on the use of synthetic polymers, in particular the polyesters) and surfactant-based vesicles. Within these formulations, several patented systems are exploiting the use of cationic lipids which, despite their limitations in gene therapy, clearly offer strong potential as adjuvants. Within this review, the current range of particulate system technologies being investigated as potential adjuvants are discussed with regard to both their respective advantages and the potential hurdles which must be overcome for such systems to be converted into successful pharmaceutical products.

Modelling and simulation strategies for the electric systems of large passenger aircraft

The simulation of a power system such as the More Electric Aircraft is a complex problem. There are conflicting requirements of the simulation, for example in order to reduce simulation run-times, power ratings that need to be established over long periods of the flight can be calculated using a fairly coarse model, whereas power quality is established over relatively short periods with a detailed model. An important issue is to establish the requirements of the simulation work at an early stage. This paper describes the modelling and simulation strategy adopted for the UK TIMES project, which is looking into the optimisation of the More Electric Aircraft from a system level. Essentially four main requirements of the simulation work have been identified, resulting in four different types of simulation. Each of the simulations is described along with preliminary models and results.

Credibility theory-based available transfer capability assessment

Since the development of large scale power grid interconnections and power markets, research on available transfer capability (ATC) has attracted great attention. The challenges for accurate assessment of ATC originate from the numerous uncertainties in electricity generation, transmission, distribution and utilization sectors. Power system uncertainties can be mainly described as two types: randomness and fuzziness. However, the traditional transmission reliability margin (TRM) approach only considers randomness. Based on credibility theory, this paper firstly built models of generators, transmission lines and loads according to their features of both randomness and fuzziness. Then a random fuzzy simulation is applied, along with a novel method proposed for ATC assessment, in which both randomness and fuzziness are considered. The bootstrap method and multi-core parallel computing technique are introduced to enhance the processing speed. By implementing simulation for the IEEE-30-bus system and a real-life system located in Northwest China, the viability of the models and the proposed method is verified.

ADVANCED ISLANDING DETECTION METHODS FOR SINGLE PHASE GRID CONNECTED PV INVERTERS

Due to the growing concerns associated with fossil fuels, emphasis has been placed on clean and sustainable energy generation. This has resulted in the increase in Photovoltaics (PV) units being integrated into the utility system. The integration of PV units has raised some concerns for utility power systems, including the consequences of failing to detect islanding. Numerous methods for islanding detection have been introduced in literature. They can be categorized into local methods and remote methods. The local methods are categorically divided into passive and active methods. Active methods generally have smaller Non-Detection Zone (NDZ) but the injecting disturbances will slightly degrade the power quality and reliability of the power system. Slip Mode Frequency Shift Islanding Detection Method (SMS IDM) is an active method that uses positive feedback for islanding detection. In this method, the phase angle of the converter is controlled to have a sinusoidal function of the deviation of the Point of Common Coupling (PCC) voltage frequency from the nominal grid frequency. This method has a non-detection zone which means it fails to detect islanding for specific local load conditions. If the SMS IDM employs a different function other than the sinusoidal function for drifting the phase angle of the inverter, its non-detection zone could be smaller. In addition, Advanced Slip Mode Frequency Shift Islanding Detection Method (Advanced SMS IDM), which has been introduced in this thesis, eliminates the non-detection zone of the SMS IDM. In this method the parameters of SMS IDM change based on the local load impedance value. Moreover, the stability of the system is investigated by developing the dynamical equations of the system for two operation modes; grid connected and islanded mode. It is mathematically proven that for some loading conditions the nominal frequency is an unstable point and the operation frequency slides to another stable point, while for other loading conditions the nominal frequency is the only stable point of the system upon islanding occurring. Simulation and experimental results show the accuracy of the proposed methods in detection of islanding and verify the validity of the mathematical analysis.

Wind Resource Mapping Using Landscape Roughness and Spatial Interpolation Methods

Energy saving, reduction of greenhouse gasses and increased use of renewables are key policies to achieve the European 2020 targets. In particular, distributed renewable energy sources, integrated with spatial planning, require novel methods to optimise supply and demand. In contrast with large scale wind turbines, small and medium wind turbines (SMWTs) have a less extensive impact on the use of space and the power system, nevertheless, a significant spatial footprint is still present and the need for good spatial planning is a necessity. To optimise the location of SMWTs, detailed knowledge of the spatial distribution of the average wind speed is essential, hence, in this article, wind measurements and roughness maps were used to create a reliable annual mean wind speed map of Flanders at 10 m above the Earth’s surface. Via roughness transformation, the surface wind speed measurements were converted into meso- and macroscale wind data. The data were further processed by using seven different spatial interpolation methods in order to develop regional wind resource maps. Based on statistical analysis, it was found that the transformation into mesoscale wind, in combination with Simple Kriging, was the most adequate method to create reliable maps for decision-making on optimal production sites for SMWTs in Flanders (Belgium).

An Electric Vehicle Dispatch Module for Demand-Side Energy Participation

The penetration of the electric vehicle (EV) has increased rapidly in recent years mainly as a consequence of advances in transport technology and power electronics and in response to global pressure to reduce carbon emissions and limit fossil fuel consumption. It is widely acknowledged that inappropriate provision and dispatch of EV charging can lead to negative impacts on power system infrastructure. This paper considers EV requirements and proposes a module which uses owner participation, through mobile phone apps and on-board diagnostics II (OBD-II), for scheduled vehicle charging. A multi-EV reference and single-EV real-time response (MRS2R) online algorithm is proposed to calculate the maximum and minimum adjustable limits of necessary capacity, which forms part of decision-making support in power system dispatch. The proposed EV dispatch module is evaluated in a case study and the influence of the mobile app, EV dispatch trending and commercial impact is explored.