942 resultados para Night-time conspicuity
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Tese de Doutoramento em Psicologia Básica
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Relatório de estágio de mestrado em Ciências da Comunicação (área de especialização em Informação e Jornalismo)
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"Available online 22 March 2016"
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First- and second-time parents’ couple relationships were studied from early pregnancy to the second year postpartum. The Relationship Questionnaire (RQ) was administered to Portuguese couples (N = 82), first- or second-time parents, at the first, second and third pregnancy trimester, childbirth, 3 and 18 months postpartum. Adverse changes in positive and negative partner relationship dimensions were reported from early pregnancy to the second year postpartum by all participants; in the same way by mothers and fathers and by first- and second-time parents. Second-time parents reported a worse couple relationship (lower RQ-positive scores) than first-time parents, but only during pregnancy. Results from the present study suggest a decline in partner relationship quality during the transition to parenthood both in mothers and fathers, as well as in first- and second-time parents.
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Healthcare organizations often benefit from information technologies as well as embedded decision support systems, which improve the quality of services and help preventing complications and adverse events. In Centro Materno Infantil do Norte (CMIN), the maternal and perinatal care unit of Centro Hospitalar of Oporto (CHP), an intelligent pre-triage system is implemented, aiming to prioritize patients in need of gynaecology and obstetrics care in two classes: urgent and consultation. The system is designed to evade emergency problems such as incorrect triage outcomes and extensive triage waiting times. The current study intends to improve the triage system, and therefore, optimize the patient workflow through the emergency room, by predicting the triage waiting time comprised between the patient triage and their medical admission. For this purpose, data mining (DM) techniques are induced in selected information provided by the information technologies implemented in CMIN. The DM models achieved accuracy values of approximately 94% with a five range target distribution, which not only allow obtaining confident prediction models, but also identify the variables that stand as direct inducers to the triage waiting times.
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The needs of reducing human error has been growing in every field of study, and medicine is one of those. Through the implementation of technologies is possible to help in the decision making process of clinics, therefore to reduce the difficulties that are typically faced. This study focuses on easing some of those difficulties by presenting real-time data mining models capable of predicting if a monitored patient, typically admitted in intensive care, will need to take vasopressors. Data Mining models were induced using clinical variables such as vital signs, laboratory analysis, among others. The best model presented a sensitivity of 94.94%. With this model it is possible reducing the misuse of vasopressors acting as prevention. At same time it is offered a better care to patients by anticipating their treatment with vasopressors.
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An unsuitable patient flow as well as prolonged waiting lists in the emergency room of a maternity unit, regarding gynecology and obstetrics care, can affect the mother and child’s health, leading to adverse events and consequences regarding their safety and satisfaction. Predicting the patients’ waiting time in the emergency room is a means to avoid this problem. This study aims to predict the pre-triage waiting time in the emergency care of gynecology and obstetrics of Centro Materno Infantil do Norte (CMIN), the maternal and perinatal care unit of Centro Hospitalar of Oporto, situated in the north of Portugal. Data mining techniques were induced using information collected from the information systems and technologies available in CMIN. The models developed presented good results reaching accuracy and specificity values of approximately 74% and 94%, respectively. Additionally, the number of patients and triage professionals working in the emergency room, as well as some temporal variables were identified as direct enhancers to the pre-triage waiting time. The imp lementation of the attained knowledge in the decision support system and business intelligence platform, deployed in CMIN, leads to the optimization of the patient flow through the emergency room and improving the quality of services.
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Patient blood pressure is an important vital signal to the physicians take a decision and to better understand the patient condition. In Intensive Care Units is possible monitoring the blood pressure due the fact of the patient being in continuous monitoring through bedside monitors and the use of sensors. The intensivist only have access to vital signs values when they look to the monitor or consult the values hourly collected. Most important is the sequence of the values collected, i.e., a set of highest or lowest values can signify a critical event and bring future complications to a patient as is Hypotension or Hypertension. This complications can leverage a set of dangerous diseases and side-effects. The main goal of this work is to predict the probability of a patient has a blood pressure critical event in the next hours by combining a set of patient data collected in real-time and using Data Mining classification techniques. As output the models indicate the probability (%) of a patient has a Blood Pressure Critical Event in the next hour. The achieved results showed to be very promising, presenting sensitivity around of 95%.
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Hospitals have multiple data sources, such as embedded systems, monitors and sensors. The number of data available is increasing and the information are used not only to care the patient but also to assist the decision processes. The introduction of intelligent environments in health care institutions has been adopted due their ability to provide useful information for health professionals, either in helping to identify prognosis or also to understand patient condition. Behind of this concept arises this Intelligent System to track patient condition (e.g. critic events) in health care. This system has the great advantage of being adaptable to the environment and user needs. The system is focused in identifying critic events from data streaming (e.g. vital signs and ventilation) which is particularly valuable for understanding the patient’s condition. This work aims to demonstrate the process of creating an intelligent system capable of operating in a real environment using streaming data provided by ventilators and vital signs monitors. Its development is important to the physician because becomes possible crossing multiple variables in real-time by analyzing if a value is critic or not and if their variation has or not clinical importance.
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OBJECTIVE - To assess mortality and the psychological repercussions of the prolonged waiting time for candidates for heart surgery. METHODS - From July 1999 to May 2000, using a standardized questionnaire, we carried out standardized interviews and semi-structured psychological interviews with 484 patients with coronary heart disease, 121 patients with valvular heart diseases, and 100 patients with congenital heart diseases. RESULTS - The coefficients of mortality (deaths per 100 patients/year) were as follows: patients with coronary heart disease, 5.6; patients with valvular heart diseases, 12.8; and patients with congenital heart diseases, 3.1 (p<0.0001). The survival curve was lower in patients with valvular heart diseases than in patients with coronary heart disease and congenital heart diseases (p<0.001). The accumulated probability of not undergoing surgery was higher in patients with valvular heart diseases than in the other patients (p<0.001), and, among the patients with valvular heart diseases, this probability was higher in females than in males (p<0.01). Several patients experienced intense anxiety and attributed their adaptive problems in the scope of love, professional, and social lives, to not undergoing surgery. CONCLUSION - Mortality was high, and even higher among the patients with valvular heart diseases, with negative psychological and social repercussions.
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O presente estudo teve por objetivo analisar os possíveis efeitos do trabalho por turnos, incluindo o turno noturno, a nível da saúde, vida familiar e social, numa empresa do sector da indústria. Foi construído um questionário que abordava questões relativas aos dados sociodemográficos, organização temporal do trabalho, qualidade do sono, exigências da tarefa e envolvimento, saúde, vida familiar e social, e posteriormente foi aplicado a uma amostra de 24 trabalhadores com idades entre os 29 e os 52 anos (41,58±5,79 anos). Os resultados mostram uma tendência para doenças como a obesidade, colesterol elevado e manifestação de sintomas relacionados com problemas digestivos nos trabalhadores que trabalham por turnos à [sic] mais anos. Antes do primeiro turno noturno o tempo de sono é bastante reduzido e fica aquém do tempo que os trabalhadores sentem que necessitam dormir para se sentirem bem. O turno da tarde é o que permite os trabalhadores ficarem com um tempo de sono mais próximo desse “ideal”. Em relação à idade, todos os trabalhadores do grupo etário mais velho manifestam interrupções do sono diurno. Também se verifica um maior descontentamento destes trabalhadores com o tempo livre para realizar atividades que tragam bem-estar. Este estudo contribui para o conhecimento da realidade do trabalho por turnos na indústria e espera-se que desperte a procura de soluções que otimizem a vida destes trabalhadores.
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Esta investigación propone explorar si maestros y alumnos muestran hábitos en la escuela y si éstos inciden en el aprovechamiento del tiempo escolar, lo que permitiría inferir que su presencia optimizaría el proceso de aprendizaje y el comportamiento. Problema: ¿Qué efecto tienen los hábitos sobre el aprovechamiento del tiempo en la escuela? Hipótesis: La presencia de hábitos positivos en maestros y alumnos posibilita un significativo aprovechamiento del tiempo en las diversas actividades que se desarrollan en la sala de clase y en los diferentes momentos del funcionamiento escolar. Objetivos: Determinar en qué medida la presencia/ausencia de hábitos en maestros y alumnos incide sobre el aprovechamiento del tiempo escolar. Específicos: 1. Explorar si el currículum prescripto contempla la adquisición de hábitos como objetivo y/o contenido de aprendizaje. 2. Analizar si se advierten hábitos en las diversas oportunidades de aprendizaje que surgen en el ámbito escolar, como consecuencia del currículum prescripto y/o del currículum oculto. 3. Determinar la importancia de la adquisición de hábitos como objetivo educativo en la escuela. 4. Detectar si hay diferencias en la propuesta educativa ofrecida a los diversos grupos socio-económico-culturales. Metodología: Exploratoria-descriptiva-correlacional-transeccional, que pretende especificar cómo se manifiestan las variables sometidas a análisis (tiempo-hábitos-oportunidades escolares de enseñanza-aprendizaje) y el grado de relación existente entre las mismas. Técnicas: observación, análisis de contenido, cuestionario, entrevista. Unidades de análisis: Presencia/ausencia de hábitos en el currículum escolar prescripto u oculto y en el comportamiento de maestros y alumnos; incidencia de los mismos sobre el aprovechamiento del tiempo escolar; existencia/inexistencia de diferencias en la propuesta educativa ofrecida a los diversos grupos socio-económicoculturales. Se realizará un muestreo estratificado proporcional, mediante una selección al azar, aleatoria simple; una distribución de frecuencias para encontrar la mediana, la razón y la tasa, a fin de implementar la prueba de hipótesis y realizar la estadística inferencial; se elaborará el informe de investigación. Consideramos que el producto final favorecerá la toma de conciencia sobre la importancia de contemplar los hábitos en los maestros y en la formación integral de los alumnos, para optimizar el proceso de enseñanza -aprendizaje y ayudar a mejorar el funcionamiento institucional. Asimismo podrá proponerse como objeto de conocimiento científico para la formación docente y constituirse en un interesante insumo para la política educativa en lo que respecta a la formulación del currículum prescripto para los distintos niveles de educación formal obligatoria.
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The purpose of this study was to evaluate the determinism of the AS-lnterface network and the 3 main families of control systems, which may use it, namely PLC, PC and RTOS. During the course of this study the PROFIBUS and Ethernet field level networks were also considered in order to ensure that they would not introduce unacceptable latencies into the overall control system. This research demonstrated that an incorrectly configured Ethernet network introduces unacceptable variable duration latencies into the control system, thus care must be exercised if the determinism of a control system is not to be compromised. This study introduces a new concept of using statistics and process capability metrics in the form of CPk values, to specify how suitable a control system is for a given control task. The PLC systems, which were tested, demonstrated extremely deterministic responses, but when a large number of iterations were introduced in the user program, the mean control system latency was much too great for an AS-I network. Thus the PLC was found to be unsuitable for an AS-I network if a large, complex user program Is required. The PC systems, which were tested were non-deterministic and had latencies of variable duration. These latencies became extremely exaggerated when a graphing ActiveX was included in the control application. These PC systems also exhibited a non-normal frequency distribution of control system latencies, and as such are unsuitable for implementation with an AS-I network. The RTOS system, which was tested, overcame the problems identified with the PLC systems and produced an extremely deterministic response, even when a large number of iterations were introduced in the user program. The RTOS system, which was tested, is capable of providing a suitable deterministic control system response, even when an extremely large, complex user program is required.