80 resultados para Perturbações mentais


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Study of qualitative approach using the oral history methodology, in modality oral history of life, which aimed to: tell the stories of lives of users of psychotropic drugs for prolonged period of time, in Family Health Unit Santarém (FHU Santarém), Natal-RN-Brazil; identify possible causes which influence and trigger, respectively, use of psychotropic for prolonged period of time; search for greater knowledge about this problem of public health; contribute with the planning and development of nursing cares, to users of psychotropic drugs for prolonged period of time, as well as in Mental Health Care, integrally, in perspective of Family Health Strategy (FHS). It was used as a baseline survey, the coverage area of family health team, from FHU Santarém, which belongs to Health District North II, from Municipal Health Secretariat, in Natal-RN-BR. Eight employees who use psychotropic drugs for prolonged period of time were interviewed. They volunteered to narrate their life stories, which were analyzed by using the thematic modality, since the study is focused on the question of the use of psychotropic drugs for prolonged period of time. The thematic axis crisis, prejudice and care, defined by the categorization of common elements, found through successive and careful readings of narratives, were used to analyze these stories of lives. The study found that users of psychotropic drugs for prolonged period of time are affected by mental health crisis, feeling need to be heard, as well as the existence of social prejudice towards people with mental disorders, and non-completion of development of managed care, by the family health team, and particularly, the nursing care to people suffering from mental disorders and users of psychotropic drugs for prolonged period of time. It is proposed that, in the search of development and planning of nursing care to users of psychotropic drugs for prolonged period of time, and in mental health care, integrally, in FHS, the nurse can think and make a drawing about manners of performing nursing care to this clientele through the use of consultation of nursing, conducting home visits, collective construction of spaces for listening and socialization, which can be used as possible paths for the construction of such care

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Hansen's disease, despite significant advances regarding the diagnosis, treatment and control still carries an immense burden of stigma as a result, mainly of its socio-historical marked by prejudice and isolation of patients, translated by suffering, abandonment and psychosocial problems. Thus, the study set out to rescue the life stories of former leprosy patients with a leprosarium history; recovering the life trajectory stories of these former patients and to identify common factors to these life stories. Exploratory-descriptive study with a qualitative approach, using the Life History Research Methodology. The sample was composed by twelve former leprosy patients who lived while undergone treatment in the Colony Hospital St. Francisco de Assis, located in Natal, Rio Grande do Norte. The network was composed without considering sex and age limit, patients that lived in the Colony Hospital for at least six months and who agree to participate freely in the study. The subjects with special physical needs (hearing) or mental disabilities and those who do not agree to participate were excluded. A semi-structured interview was used to data collection, the interviews were recorded in the household context of individual, residents in neighborhoods Felipe Camarão, Km 6 and Jardim America, more precisely at Nova Vida village, all located in that district. The data collected were subjected to the technique of thematic content analysis. This study had obtained an appropriate consent of the UFRN Research Ethics Committee under the protocol No. 016/2010. After extensive and careful readings of life stories we identified three themes that guided the data analysis: behavioral stages, social exclusion and, stigma and prejudice. Thus, it is clear that the practice of compulsory confinement of patients in nursing homes and the mythical image of Hansen's disease as being ugly and deformed, contributed to solidifying the historical stigma surrounding the disease and its patients, raising in society and family attitudes and feelings of exclusion, prejudice and fear. Moreover, there are remarkable stories in the lives of these interviewed reporting suffering, denials, anger that reverberate to this day, affecting negatively the social and family reintegration of these individuals. As a result, we see the need for managers and local health professionals, especially nurses, rethink existing strategies for social rehabilitation of the patient and ex-leprosy patient aiming to suppression unjust and harmful stigma rooted in image and stories of these individuals

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The characterization of the nursing diagnoses in prostatectomized patients is important to provide an unique nursing language, facilitating the communication between professionals and patients. The objective of this study was to analyze the nursing diagnoses of patients in the immediate prostatectomy postoperative period. This is a cross-sectional and descriptive study, developed at the surgical-clinic of Onofre Lopes University Hospital, in the Natal City RN - Brazil. The sample was composed of 50 patients included by the criteria: have presented a diagnosis of a benign prostatic hyperplasia or a prostate cancer, have been subjected to a prostate surgery at the mentioned hospital, and have been in the immediate postoperative period at the moment of the data collection. The exclusion criteria were: haven t been in an appropriate physical and mental condition, have presented a brain vascular disease, a lung disease, an advanced liver disease, a heart disease or a extensive coronary artery disease. The data collection instruments were: the script of an interview and physical examination. The data collection period was between November 2010 and April 2011. The data were organized in two phases: the diagnostic process and the construction of the database. The project was approved by the Ethics Committee of the Federal University of Rio Grande do Norte The results showed that most patients came from the countryside, was living with partners, had an average of 67.78 years, was pensionerthose with low schooling, Catholic and often did not perform preventive examinations of prostatic disease. The patients showed an average of 9.48 nursing diagnoses, defining characteristics 21.70 and 20.72 related or risk factors per patient. We identified 30 nursing diagnoses, of which 7 were above the 75 percentile: Risk of falls, Impaired ambulation, Risk of infection, Self-care deficit bath / hygiene and dress up and Risk for deficient fluid volume. The top six nursing diagnoses were in all patients, and therefore could not apply any statistical test. The others ND were associated with their defining characteristics and related or risk factors. We conclude that the nursing diagnoses identified in this study contribute to the progress of the nursing care to the prostatectomized patients in post-surgery period, allowing the deployment of nursing actions for the effective resolution of identified problems

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The present study is included in the environmental international theme, approaching the search for the environmental conformity in public events. It describes the main environmental impacts, objects of the study Sound Disturbances, implications concerning the increase in the Volume of Traffic and in the volume of Solid Residues generated in the surroundings of the event. The methodology used consists of the report of the case study of the festivity called Carnatal, held in Natal/RN, in December of 2001. As a work method, it was used a quantitative evaluation of the sound intensity level, according to the effective legislation, an electronic count of volume of traffic and an evaluation of the productive performance of the means of production of public urban sanitation company used in the event. The results pinpoint the recognition of the impacts generated by the event and the proposition of a Program of Environmental Management, aiming at, in addition to the establishment of the instruments and goals for the mitigation of the impacts, defining the role of the social actors in the search for the environmental conformity of festivities

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In this thesis, it is developed the robustness and stability analysis of a variable structure model reference adaptive controller considering the presence of disturbances and unmodeled dynamics. The controller is applied to uncertain, monovariable, linear time-invariant plants with relative degree one, and its development is based on the indirect adaptive control. In the direct approach, well known in the literature, the switching laws are designed for the controller parameters. In the indirect one, they are designed for the plant parameters and, thus, the selection of the relays upper bounds becomes more intuitive, whereas they are related to physical parameters, which present uncertainties that can be known easier, such as resistances, capacitances, inertia moments and friction coefficients. Two versions for the controller algorithm with the stability analysis are presented. The global asymptotic stability with respect to a compact set is guaranteed for both cases. Simulation results under adverse operation conditions in order to verify the theoretical results and to show the performance and robustness of the proposed controller are showed. Moreover, for practical purposes, some simplifications on the original algorithm are developed

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Post dispatch analysis of signals obtained from digital disturbances registers provide important information to identify and classify disturbances in systems, looking for a more efficient management of the supply. In order to enhance the task of identifying and classifying the disturbances - providing an automatic assessment - techniques of digital signal processing can be helpful. The Wavelet Transform has become a very efficient tool for the analysis of voltage or current signals, obtained immediately after disturbance s occurrences in the network. This work presents a methodology based on the Discrete Wavelet Transform to implement this process. It uses a comparison between distribution curves of signals energy, with and without disturbance. This is done for different resolution levels of its decomposition in order to obtain descriptors that permit its classification, using artificial neural networks

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The so-called Dual Mode Adaptive Robust Control (DMARC) is proposed. The DMARC is a control strategy which interpolates the Model Reference Adaptive Control (MRAC) and the Variable Structure Model Reference Adaptive Control (VS-MRAC). The main idea is to incorporate the transient performance advantages of the VS-MRAC controller with the smoothness control signal in steady-state of the MRAC controller. Two basic algorithms are developed for the DMARC controller. In the first algorithm the controller's adjustment is made, in real time, through the variation of a parameter in the adaptation law. In the second algorithm the control law is generated, using fuzzy logic with Takagi-Sugeno s model, to obtain a combination of the MRAC and VS-MRAC control laws. In both cases, the combined control structure is shown to be robust to the parametric uncertainties and external disturbances, with a fast transient performance, practically without oscillations, and a smoothness steady-state control signal

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In this work, the variable structure adaptive pole placement controller (VS-APPC) robustness and performance are evaluated and this algorithm is applied in a motor control system. The controller robustness evaluation will be done through simulations, where will be introduced in the system the following adversities: time delay, actuator response boundeds, disturbances, parametric variation and unmodeled dynamics. The VS-APPC will be compared with PI control, pole placement control (PPC) and adaptive pole placement controller (APPC). The VS-APPC will be simulated to track a step and a sine reference. It will be applied in a three-phase induction motor control system to track a sine signal in the stator reference frame. Simulation and experimental results will prove the efficiency and robustness of this control strategy

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This work deals with an on-line control strategy based on Robust Model Predictive Control (RMPC) technique applied in a real coupled tanks system. This process consists of two coupled tanks and a pump to feed the liquid to the system. The control objective (regulator problem) is to keep the tanks levels in the considered operation point even in the presence of disturbance. The RMPC is a technique that allows explicit incorporation of the plant uncertainty in the problem formulation. The goal is to design, at each time step, a state-feedback control law that minimizes a 'worst-case' infinite horizon objective function, subject to constraint in the control. The existence of a feedback control law satisfying the input constraints is reduced to a convex optimization over linear matrix inequalities (LMIs) problem. It is shown in this work that for the plant uncertainty described by the polytope, the feasible receding horizon state feedback control design is robustly stabilizing. The software implementation of the RMPC is made using Scilab, and its communication with Coupled Tanks Systems is done through the OLE for Process Control (OPC) industrial protocol

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This work presents a description of models development at DigSILENT PowerFactoryT M program for the transient stability study in power systems with wind turbine. The main goal is to make available means to use a dynamic simulation program in power systems, widely published, and utilize it as a tool that helps in programs results evaluations used for this intent. The process of simulations and analyses results starts after the models setting description phase. The results obtained by the DigSILENT PowerFactoryT M and ATP, program chosen to the validation also international recognized, are compared during this phase. The main tools and guide lines of PowerFactoryT M program use are presented here, directing these elements to the solution of the approached problem. For the simulation it is used a real system which it will be connected a wind farm. Two different technologies of wind turbines were implemented: doublyfed induction generator with frequency converter, connecting the rotor to the stator and to the grid, and synchronous wind generator with frequency converter, interconnecting the generator to the grid. Besides presenting the basic conceptions of dynamic simulation, it is described the implemented control strategies and models of turbine and converters. The stability of the wind turbine interconnected to grid is analyzed in many operational conditions, resultant of diverse kinds of disturbances

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An alternative nonlinear technique for decoupling and control is presented. This technique is based on a RBF (Radial Basis Functions) neural network and it is applied to the synchronous generator model. The synchronous generator is a coupled system, in other words, a change at one input variable of the system, changes more than one output. The RBF network will perform the decoupling, separating the control of the following outputs variables: the load angle and flux linkage in the field winding. This technique does not require knowledge of the system parameters and, due the nature of radial basis functions, it shows itself stable to parametric uncertainties, disturbances and simpler when it is applied in control. The RBF decoupler is designed in this work for decouple a nonlinear MIMO system with two inputs and two outputs. The weights between hidden and output layer are modified online, using an adaptive law in real time. The adaptive law is developed by Lyapunov s Method. A decoupling adaptive controller uses the errors between system outputs and model outputs, and filtered outputs of the system to produce control signals. The RBF network forces each outputs of generator to behave like reference model. When the RBF approaches adequately control signals, the system decoupling is achieved. A mathematical proof and analysis are showed. Simulations are presented to show the performance and robustness of the RBF network

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This work presents a description of models development at DigSILENT PowerFactoryTM program for the transient stability study in power systems with wind turbine. The main goal is to make available means to use a dynamic simulation program in power systems, widely published, and utilize it as a tool that helps in programs results evaluations used for this intent. The process of simulations and analyses results starts after the models setting description phase. The results obtained by the DigSILENT PowerFactoryTM and ATP, program chosen to the validation also international recognized, are compared during this phase. The main tools and guide lines of PowerFactoryTM program use are presented here, directing these elements to the solution of the approached problem. For the simulation it is used a real system which it will be connected a wind farm. Two different technologies of wind turbines were implemented: doubly-fed induction generator with frequency converter, connecting the rotor to the stator and to the grid, and synchronous wind generator with frequency converter, interconnecting the generator to the grid. Besides presenting the basic conceptions of dynamic simulation, it is described the implemented control strategies and models of turbine and converters. The stability of the wind turbine interconnected to grid is analyzed in many operational conditions, resultant of diverse kinds of disturbances

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There are two main approaches for using in adaptive controllers. One is the so-called model reference adaptive control (MRAC), and the other is the so-called adaptive pole placement control (APPC). In MRAC, a reference model is chosen to generate the desired trajectory that the plant output has to follow, and it can require cancellation of the plant zeros. Due to its flexibility in choosing the controller design methodology (state feedback, compensator design, linear quadratic, etc.) and the adaptive law (least squares, gradient, etc.), the APPC is the most general type of adaptive control. Traditionally, it has been developed in an indirect approach and, as an advantage, it may be applied to non-minimum phase plants, because do not involve plant zero-pole cancellations. The integration to variable structure systems allows to aggregate fast transient and robustness to parametric uncertainties and disturbances, as well. In this work, a variable structure adaptive pole placement control (VS-APPC) is proposed. Therefore, new switching laws are proposed, instead of using the traditional integral adaptive laws. Additionally, simulation results for an unstable first order system and simulation and practical results for a three-phase induction motor are shown

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The Brain-Computer Interfaces (BCI) have as main purpose to establish a communication path with the central nervous system (CNS) independently from the standard pathway (nervous, muscles), aiming to control a device. The main objective of the current research is to develop an off-line BCI that separates the different EEG patterns resulting from strictly mental tasks performed by an experimental subject, comparing the effectiveness of different signal-preprocessing approaches. We also tested different classification approaches: all versus all, one versus one and a hierarchic classification approach. No preprocessing techniques were found able to improve the system performance. Furthermore, the hierarchic approach proved to be capable to produce results above the expected by literature

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The treatment of wastewaters contaminated with oil is of great practical interest and it is fundamental in environmental issues. A relevant process, which has been studied on continuous treatment of contaminated water with oil, is the equipment denominated MDIF® (a mixer-settler based on phase inversion). An important variable during the operation of MDIF® is the water-solvent interface level in the separation section. The control of this level is essential both to avoid the dragging of the solvent during the water removal and improve the extraction efficiency of the oil by the solvent. The measurement of oil-water interface level (in line) is still a hard task. There are few sensors able to measure oil-water interface level in a reliable way. In the case of lab scale systems, there are no interface sensors with compatible dimensions. The objective of this work was to implement a level control system to the organic solvent/water interface level on the equipment MDIF®. The detection of the interface level is based on the acquisition and treatment of images obtained dynamically through a standard camera (webcam). The control strategy was developed to operate in feedback mode, where the level measure obtained by image detection is compared to the desired level and an action is taken on a control valve according to an implemented PID law. A control and data acquisition program was developed in Fortran to accomplish the following tasks: image acquisition; water-solvent interface identification; to perform decisions and send control signals; and to record data in files. Some experimental runs in open-loop were carried out using the MDIF® and random pulse disturbances were applied on the input variable (water outlet flow). The responses of interface level permitted the process identification by transfer models. From these models, the parameters for a PID controller were tuned by direct synthesis and tests in closed-loop were performed. Preliminary results for the feedback loop demonstrated that the sensor and the control strategy developed in this work were suitable for the control of organic solvent-water interface level