This paper presents the design and implementation of Neuro controller for Interacting Spherical Two Tank System (ISTTS). Control of liquid level in spherical tank is highly non linear due to variation in the area of cross section of level system with change in shape. At the same time, the development of controller for interacting spherical two tank system becomes a challenging task. For the controller design, ISTTS is approximated as a second order transfer function model. From the model, the Gain Scheduling PI (GSPI) controller is designed and parameters (Kc and Ti) are computed. The Neuro controller is designed based on the parameters such as error, change in error and set point obtained by GSPI. The simulation runs are carried out at different operating point of tank level with different set point tracking. The performance measures of the controllers are evaluated based on error indices such as Integral Squared Error (ISE) and Integral Absolute Error (IAE) and quality indices such as rise time (tr), settling time (ts) and peak overshoot (%Mp). The results obtained by Neuro control shows superior performance than GSPI controller.
In the current global era, most health information systems have been implemented with the support of information and communication technology. This has an impact on the enforcement of dual duties for health professionals as health workers and as operators of health information systems. This \'new task addition\' will lead to increased efforts to be able to operate the information system properly. For some health professionals, this will feel burdensome, which can ultimately lead to user resistance, either actively or passively. Both types of resistance must be given serious attention because it often leads to failure in the implementation of new information systems. Meanwhile, the occurrence of passive resistance needs to be watched because at the beginning stage is usually not known by the managers, so this resistance fails to be anticipated. If not well anticipated, then this will grow worse. In order for this to be prevented, the effort that must be done by the organization is always to improve and maintain organizational support for the users.
The purpose of this study was to investigate the association among different types of single nucleotide polymorphisms (SNPs) of interleukin-6 (IL-6), interleukin-10 (IL-10) and interleukin-18 (IL-18) genes and perinatal infections in newborns, as well as detection the relation among allelic variants of mentioned genes with the level of their product. Genetic polymorphism was identified in the regulatory parts of the promoter regions of IL-6 (at -597, -572, -174 positions), IL-10 (at -819, -592 positions) and IL-18 (at -656, -137, +105 positions) genes in 76 healthy and 50 infected newborns with perinatal diseases. The increase in the frequency of occurrence of G allele in the promoter region of the IL-6 gene at -174, -572 positions, IL-10 gene at positions -819, -592 and IL-18 at -656 position and nucleotide substitution in other positions revealed the importance of relation between point mutations in IL-6, IL-10, IL-18 genes and the development of intrauterine infections. The genetic polymorphisms of IL-6, IL-10, IL-18 genes and their association with the occurrence of perinatal infections in newborns allow classifying them as a predictor of congenital infections.
O objetivo desse trabalho é avaliar a eficiência dos campos de petróleo onshore, que compõem a bacia potiguar, no período de 2014 a 2016. O modelo dinâmico da análise envoltória de dados (DDEA) foi delineado para avaliar a sustentabilidade ambiental por meio da interação entre as variáveis de entrada (Poços verticais, Poços direcionais, Grau API e Idade), variável intermediária (Produção de petróleo) e variáveis de saída (Volume de água produzida). O modelo DDEA utilizado segue a abordagem dinâmica conceituada por Kao (2013). Para efeitos de redução de variabilidade dos dados, optou-se por analisar os campos com produção de óleo de até 1000 m3 (19 DMUs). Os resultados permitem afirmar que os campos apresentaram índices de eficiência global em torno de 34%, o que denota uma baixa preocupação efetiva relacionada a sustentabilidade.