1. Abstract Nowadays, process optimization plays an important role in the chemical industries, providing many benefits. The aim of this work is to present a new framework for process optimization of chemical industries based on rigorous process models and with many integrated features, such as: customized thermodynamic data package, dynamic and steady-state simulation, optimization, parameter e...

This paper presents the first participation of LN2R system in IM@OAEI2010, the Instance Matching track of Ontology Alignment Evaluation Initiative 2010 Campaign. In particular, we participated in OWL data track by performing LN2R system on Person-Restaurant data set. We obtained very good results on person data sets and reasonable results on restaurant data set. 1 Presentation of the system To ...

The model identification of the nonlinear system has been concerned by the industrial community all along. The relationship of the nonlinear dynamic system is contained in the data accumulated in the scene. To better utilize the data about the industrial objects, in this article, we put forward the nonlinear system predictor driven by the Bayesian-Gaussian neural network (NN) model, use the tra...

The study of chaotic phenomena in partial differential equations is a challenging subject. In this paper, we survey the recent progress in the study of chaotic vibration of the linear wave equation with nonlinear boundary feedback control law. We show that when there is linear energy injection at one end of the boundary and the self-regulating or van der Pol nonlinearity at the other end of the...

BACKGROUND Previous studies suggest that some medications, including proton pump inhibitors and β-agonist inhalers, are administered to hospitalized patients and sometimes continued without indications. Medication reconciliation has been offered as one mechanism to reduce the frequency of such medication errors and is now mandated by the Joint Commission (NPSG.03.06.01). We hypothesized that (1...

We propose an efficient logical layer-based reconciliation method for continuous-variable quantum key distribution (CVQKD) to extract binary information from correlated Gaussian variables. We demonstrate that by operating on the raw-data level, the noise of the quantum channel can be corrected in the low-dimensional (scalar) space, and the reconciliation can be extended to arbitrary dimensions....

A software system has been developed for the study of static and dynamic data visualization in the context of Visual Data Mining in Virtual Reality. We use a specific data set to illustrate how the visualization tools of the 3D Visual Data Mining (3DVDM) system can assist in detecting potentially interesting non-linear data relationships that are hard to discover using traditional statistical m...

background: despite some successful dynamic simulation of self-impact double pendulum (sidp)-as humanoid robots legs or arms- studies, there is limited information available about the control of one leg locomotion. objective   : the main goal of this research is to improve the reliability of the mammalians leg locomotion and building more elaborated models close to the natural movements, by mod...

STUDY OBJECTIVE To assess the impact of a pilot pharmacist-managed medication reconciliation program on mortality and use of health care services in patients discharged to home from a skilled nursing facility (SNF). DESIGN Quasi-experimental, controlled trial. SETTING Health maintenance organization (HMO). PATIENTS Five hundred twenty-one HMO members. INTERVENTION Patients were assigned...