Particle size distributions of obtained samples from several sampling campaigns were determined and raw data were mass balanced before being used in simulation *** determination of breakage function,selection function...
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Particle size distributions of obtained samples from several sampling campaigns were determined and raw data were mass balanced before being used in simulation *** determination of breakage function,selection function,Bond work index,residence time distribution parameters,and Whiten's model parameters for air separators and diaphragms between the two compartments of tube ball mills,performance of the circuits was simulated for given throughputs and feed particle size ***'s model parameters were determined by GA(genetic algorithm) toolbox of MATLAB *** on implemented models for modeling and simulation,optimization of circuits was carried *** increased nearly 10.5% and 15.8% in fresh feed capacity input to each tube ball *** addition,circulating load ratios of circuits are modified to 118% and 127% from low level of 57% and 22%,respectively,and also cut points of air separators are adjusted at 30 and 40 μm from high range of 53 and 97 μm,*** applications helped in well-operation and energy consumption reduction of equipments.
In this study,an adaptive neuro-observer-based optimal control(ANOPC)policy is introduced for unknown nonaffine nonlinear systems with control input ***–Jacobi–Bellman(HJB)framework is employed to minimize a non-qua...
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In this study,an adaptive neuro-observer-based optimal control(ANOPC)policy is introduced for unknown nonaffine nonlinear systems with control input ***–Jacobi–Bellman(HJB)framework is employed to minimize a non-quadratic cost function corresponding to the constrained control *** consists of both analytical and algebraic *** the analytical part,first,an observer-based neural network(NN)approximates uncertain system dynamics,and then another NN structure solves the HJB *** the algebraic part,the optimal control input that does not exceed the saturation bounds is *** weights of two NNs associated with observer and controller are simultaneously updated in an online *** ultimately uniformly boundedness(UUB)of all signals of the whole closed-loop system is ensured through Lyapunov’s direct ***,two numerical examples are provided to confirm the effectiveness of the proposed control strategy.
Invasive candidiasis(IC) bears a high risk of morbidity and mortality in the intensive care units(ICU). With the current advances in critical care and the use of widespectrum antibiotics, invasive fungal infections(IF...
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Invasive candidiasis(IC) bears a high risk of morbidity and mortality in the intensive care units(ICU). With the current advances in critical care and the use of widespectrum antibiotics, invasive fungal infections(IFIs) and IC in particular, have turned into a growing concern in the ICU. Further to blood cultures, some auxil-iary laboratory tests and biomarkers are developed to enable an earlier detection of infection, however these test are neither consistently available nor validated in our setting. On the other hand, patients' clinical status and local epidemiology data may justify the empiric antifungal approach using the proper antifungal option. The clinical approach to the management of IC in febrile, non-neutropenic critically ill patients has been defined in available international guidelines; nevertheless such recommendations need to be customized when applied to our local practice. Over the past three years, Iranian experts from intensive care and infectious diseases disciplines have tried to draw a consensus on the management of IFI with a particular focus on IC in the ICU. The established IFI-clinical forum(IFI-CF), comprising the scientific leaders in the field, has recently come up with and updated recommendation on the same(June 2014). The purpose of this review is to put together literature insights and Iranian experts' opinion at the IFI-CF, to propose an updated practical overview on recommended approaches for the management of IC in the ICU.
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