Work-related stress according to the demand-control model and minor psychic disorders in nursing workers

This was a cross-sectional study that aimed to assess the association between work-related stress according to the Demand-Control Model, and the occurrence of Minor Psychic Disorder (MPD) in nursing workers. The participants were 335 professionals, out of which 245 were nursing technicians, aged predominantly between 20 and 40 years. Data were collected using the Job Stress Scale and the Self-Reporting Questionnaire-20. The analysis was performed using descriptive and analytical statistics. The prevalence of suspected MPD was 20.6%. Workers classified in the quadrants active job and high strain of the Demand-Control Model presented higher potential for developing MPD compared with those classified in the quadrant low strain. In conclusion, stress affects the mental health of workers and the aspects related to high psychological demands and high control still require further insight in order to understand their influence on the disease processes of nursing workers.

Cross-cultural validity of the demand-control questionnaire: Swedish and Brazilian workers

OBJECTIVE To evaluate the cross-cultural validity of the Demand-Control Questionnaire, comparing the original Swedish questionnaire with the Brazilian version. METHODS We compared data from 362 Swedish and 399 Brazilian health workers. Confirmatory and exploratory factor analyses were performed to test structural validity, using the robust weighted least squares mean and variance-adjusted (WLSMV) estimator. Construct validity, using hypotheses testing, was evaluated through the inspection of the mean score distribution of the scale dimensions according to sociodemographic and social support at work variables. RESULTS The confirmatory and exploratory factor analyses supported the instrument in three dimensions (for Swedish and Brazilians): psychological demands, skill discretion and decision authority. The best-fit model was achieved by including an error correlation between work fast and work intensely (psychological demands) and removing the item repetitive work (skill discretion). Hypotheses testing showed that workers with university degree had higher scores on skill discretion and decision authority and those with high levels of Social Support at Work had lower scores on psychological demands and higher scores on decision authority. CONCLUSIONS The results supported the equivalent dimensional structures across the two culturally different work contexts. Skill discretion and decision authority formed two distinct dimensions and the item repetitive work should be removed.

Fuzzy clustering applied to a demand response model in a smart grid contingency scenario

This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.

Fuzzy clustering applied to a demand response model in a smatr grid contingency scenario

This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.

The Impact of Personality and Culture on the Job Demands-Control Model of Job Stress

Among the various work stress models, one of the most popular has been the job demands-control (JDC) model developed by Karasek (1979), which postulates that work-related strain is highest under work conditions characterized by high demands and low autonomy. The absence of social support at work further increases negative outcomes. This model, however, does not apply equally to all individuals and to all cultures. This review demonstrates how various individual characteristics, especially some personality dimensions, influence the JDC model and could thus be considered buffering or moderator factors. Moreover, we review how the cultural context impacts this model as suggested by results obtained in European, American, and Asian contexts. Yet there are almost no data from Africa or South America. More crosscultural studies including populations from these continents would be valuable for a better understanding of the impact of the cultural context on the JDC model.

Accuracy improvement of a demand forecasting model

This research concerns different statistical methods that assist to increase the demand forecasting accuracy of company X’s forecasting model. Current forecasting process was analyzed in details. As a result, graphical scheme of logical algorithm was developed. Based on the analysis of the algorithm and forecasting errors, all the potential directions for model future improvements in context of its accuracy were gathered into the complete list. Three improvement directions were chosen for further practical research, on their basis, three test models were created and verified. Novelty of this work lies in the methodological approach of the original analysis of the model, which identified its critical points, as well as the uniqueness of the developed test models. Results of the study formed the basis of the grant of the Government of St. Petersburg.

Assessment of aquatic plants in the reservoirs of AES-Tiete and development of an integrated control model for the most important species

The general objective of this work was to develop a monitoring and management model for aquatic plants that could be used in reservoir cascades in Brazil, using the reservoirs of AES-Tiete as a study case. The investigations were carried out at the reservoirs of Barra-Bonita, Bariri, Ibitinga, Promissao, and Nova-Avanhandava, located in the Tiete River Basin; Agua Vermelha, located in the Grande River Basin; Caconde, Limoeiro, and Euclides da Cunha, which are part of the Pardo River Basin; and the Mogi-Guacu reservoir, which belongs to the Mogi-Guacu River basin. The main products of this work were: development of techniques using satellite-generated images for monitoring and planning aquatic plant control; planning and construction of a boat to move floating plant masses and an airboat equipped with a DGPS navigation and application flow control system. Results allowed to conclude that the occurrence of all types of aquatic plants is directly associated with sedimentation process and, consequently, with nutrient and light availability. Reservoirs placed at the beginning of cascades are more subject to sedimentation and occurrence of marginal, floating and emerged plants, and are the priority when it comes to controlling these plants, since they provide a supply of weeds for the other reservoirs. Reservoirs placed downstream show smaller amounts of water-suspended solids, with greater transmission of light and occurrence of submerged plants.

Hybrid Water Demand Forecasting Model Associating Artificial Neural Network with Fourier Series

This paper addressed the problem of water-demand forecasting for real-time operation of water supply systems. The present study was conducted to identify the best fit model using hourly consumption data from the water supply system of Araraquara, Sa approximate to o Paulo, Brazil. Artificial neural networks (ANNs) were used in view of their enhanced capability to match or even improve on the regression model forecasts. The ANNs used were the multilayer perceptron with the back-propagation algorithm (MLP-BP), the dynamic neural network (DAN2), and two hybrid ANNs. The hybrid models used the error produced by the Fourier series forecasting as input to the MLP-BP and DAN2, called ANN-H and DAN2-H, respectively. The tested inputs for the neural network were selected literature and correlation analysis. The results from the hybrid models were promising, DAN2 performing better than the tested MLP-BP models. DAN2-H, identified as the best model, produced a mean absolute error (MAE) of 3.3 L/s and 2.8 L/s for training and test set, respectively, for the prediction of the next hour, which represented about 12% of the average consumption. The best forecasting model for the next 24 hours was again DAN2-H, which outperformed other compared models, and produced a MAE of 3.1 L/s and 3.0 L/s for training and test set respectively, which represented about 12% of average consumption. DOI: 10.1061/(ASCE)WR.1943-5452.0000177. (C) 2012 American Society of Civil Engineers.

Risk-based methodology for parameter calibration of a reservoir flood control model

Flash floods are of major relevance in natural disaster management in the Mediterranean region. In many cases, the damaging effects of flash floods can be mitigated by adequate management of flood control reservoirs. This requires the development of suitable models for optimal operation of reservoirs. A probabilistic methodology for calibrating the parameters of a reservoir flood control model (RFCM) that takes into account the stochastic variability of flood events is presented. This study addresses the crucial problem of operating reservoirs during flood events, considering downstream river damages and dam failure risk as conflicting operation criteria. These two criteria are aggregated into a single objective of total expected damages from both the maximum released flows and stored volumes (overall risk index). For each selected parameter set the RFCM is run under a wide range of hydrologic loads (determined through Monte Carlo simulation). The optimal parameter set is obtained through the overall risk index (balanced solution) and then compared with other solutions of the Pareto front. The proposed methodology is implemented at three different reservoirs in the southeast of Spain. The results obtained show that the balanced solution offers a good compromise between the two main objectives of reservoir flood control management

An Access Control Model for Protecting Provenance Graphs

Postprint

Development of a transmission error model and an error control model /

"Georgia Institute of Technology."

A fuzzy clustering approach to a demand response model

This paper proposes a novel demand response model using a fuzzy subtractive cluster approach. The model development provides support to domestic consumer decisions on controllable loads management, considering consumers' consumption needs and the appropriate load shape or rescheduling in order to achieve possible economic benefits. The model based on fuzzy subtractive clustering method considers clusters of domestic consumption covering an adequate consumption range. Analysis of different scenarios is presented considering available electric power and electric energy prices. Simulation results are presented and conclusions of the proposed demand response model are discussed. (C) 2016 Elsevier Ltd. All rights reserved.

Demanda y control de la tarea y presencia de síntomas de estrés y osteo-musculares en personal de una institución hospitalaria de IV nivel, Bogotá, 2016.

El ejercicio de labores asistenciales en el personal de la salud, las largas horas de trabajo y la responsabilidad en la ejecución de sus tareas, llevan consigo la exposición a riesgos psicosociales; que de no ser debidamente controlados pueden llevar al individuo a generar respuestas inadecuadas a nivel cognitivo, emocional e intelectual, las cuales se manifiestan en algunos casos con la aparición de sintomatología osteomuscular y/o asociada al estrés. OBJETIVO Identificar la relación entre las demandas de la tarea, el control sobre las mismas y la presencia e intensidad de síntomas de estrés y osteo-musculares en médicos, especialistas y personal de enfermería de una institución hospitalaria de IV nivel en Bogotá. Métodos Estudio de corte transversal en una muestra de 100 profesionales de la salud. Se utilizaron tres instrumentos: cuestionario Nórdico para la detección y análisis de síntomas músculo esqueléticos, cuestionario Karasek para identificar la percepción del trabajo y la relación del entorno profesional y el cuestionario de Estrés del Ministerio de la Protección Social validado para la población colombiana. Se obtuvo previa autorización del Comité de Investigaciones y Comité de Ética del Hospital. El análisis estadístico se realizó con el IBM SPSS Statistics versión 2.0 Resultados Se observó que los síntomas osteomusculares con mayor prevalencia estuvieron relacionados con afectaciones en espalda 43% y cuello 36%; no se observan diferencias estadísticamente significativas entre los distintos profesionales. En cuanto a presencia de sintomatología asociada al estrés, la mayor prevalencia se presentó en síntomas osteomusculares en cuello y espalda en el 84% de los casos, dolor de cabeza en el 74%, trastornos del sueño y cansancio en el 64% y percepción de sobrecarga laboral en el 63%. Para el análisis de prevalencia de los factores psicosociales laborales se utilizó la clasificación de la combinación de altas o bajas demandas y alto o bajo control, el resultado de estos teniendo en cuenta el modelo Demanda-control fue la siguiente: trabajo de alta tensión 34%; trabajo activo 40%; trabajo aburrido 13% y trabajo pasivo 13%. Se encontró una asociación entre la sintomatología y las variables toma de decisiones en médicos especialistas (OR 3,12; IC 95%: 2,80 – 3,49) lo que ratifica que este tipo de profesional tiene una mayor libertad para generar decisiones en su actuar médico y control sobre la tarea para especialistas (OR 3,23; IC 95%: 2,82 – 3,70) y enfermeros jefes (OR 3,36; IC 95%: 2,91 – 3,89); lo que permite inferir que cada uno de estos profesionales posee las herramientas para asumir las exigencias y dar respuesta a los distintos aspectos que están ligados a la tarea. Conclusiones: La presencia de síntomas osteo musculares en zonas como cuello y espalda son propios de la actividad del personal de la salud y se asocia a las posturas inadecuadas y el puesto de trabajo, así como al estrés. En cuanto a la sintomatología asociada al estrés se ratifica la presencia de sintomatología osteo muscular (cuello y espalda), como manifestaciones asociadas al cansancio, trastornos del sueño, sobrecarga laboral, dolor de cabeza y en menor porcentaje dificultades para relacionarse con otros. Respecto a los factores de riesgo psicosocial, se observó que el trabajo activo es la condición predominante en el personal de la salud, pero se observa además que un porcentaje importante experimenta episodios de tensión laboral, asociados a condiciones propias de las demandas psicológicas y el control sobre la tarea. Por lo anterior, se deben establecer acciones encaminadas a favorecer espacios saludables, y programas tendientes a la mejora de las condiciones de tal manera que disminuya la presencia de sintomatología osteomuscular y/o sintomatología derivada del estrés.

A fuzzy clustering approach to a demand response model

This paper proposes a novel demand response model using a fuzzy subtractive cluster approach. The model development provides support to domestic consumer decisions on controllable loads management, considering consumers’ consumption needs and the appropriate load shape or rescheduling in order to achieve possible economic benefits. The model based on fuzzy subtractive clustering method considers clusters of domestic consumption covering an adequate consumption range. Analysis of different scenarios is presented considering available electric power and electric energy prices. Simulation results are presented and conclusions of the proposed demand response model are discussed.