Cellular Rhinitis represent a form of vasomotor rhinitis, they are studied by means of the nasal cytology which allows through the taking of a minimum amount of mucus in the nasal mucosa of studying with an optical microscope such cells. The cells are stained with May Grunwald Giemsa methods, such methods allows to highlight the major cellular components at the level of the surface layer of the...

Hybridoma cells were produced by fusing P3X63Ag8.653 mouse myeloma cells with spleen cells from BALB/c mice immunized with Japanese encephalitis (JE) virus, Nakayama-RFVL strain. The resulting 26 clones produced hemagglutination inhibition antibodies against the homologous strain. The hemagglutination inhibition reactivity of each clone was tested against six flaviviruses: JE, Murray Valley enc...

We numerically study how to enhance reservoir computing performance by thoroughly extracting the spin-wave device potential for higher-dimensional information generation. The has a 1-input exciter and 120-output detectors on top of continuous magnetic garnet film transmission. For various nonlinear fading-memory dynamic phenomena distributing in space, small in-plane fields are used prepare str...

Nonlinearities and parametric uncertainties are unavoidable problems faced in controlling robot manipulator. A single link manipulator driven by a permanent magnet brushed dc motor is a nonlinear dynamics due to effects of gravitational force, mass of the payload, posture of the manipulator and viscous friction coefficient. Furthermore, uncertainties arise because of changes of the rotor resist...

The article searches for the possible presence of determinism in heart rate variability (HRV) signals by using a new approach based on NARMA (nonlinear autoregressive moving average) modeling and free-run prediction. Thirty-three 256-point HRV time series obtained from Wistar rats submitted to different autonomic blockade protocols are considered, and a collection of surrogate data sets are gen...

Neural networks have been widely used to solve complex realworld problems. Due to the complicate, nonlinear, non-convex nature of neural networks, formal safety guarantees for the behaviors of neural network systems will be crucial for their applications in safety-critical systems. In this paper, the reachable set estimation and verification problems for Nonlinear Autoregressive-Moving Average ...

We propose a robust learning algorithm and apply it to recurrent neural networks. This algorithm is based on filtering outliers from the data and then estimating parameters from the filtered data. The filtering removes outliers from both the target function and the inputs of the neural network. The filtering is soft in that some outliers are neither completely rejected nor accepted. To show the...

In this paper, we examine data driven modelling procedures for creating a discrete-time input-output map that can be transformed into an observable state space form. We first present previous results of a model form that guarantees the existence of an observable state space realization, as well as the state equations that can be implemented using that form. We then examine the feasibility of NA...

DC-DC converters are switched power converters. They are used to convert one DC voltage to another DC voltage. It is inordinately used in industry as well as in research. The model of converter system varies from the ON state to the OFF state. The major drawback of the boost converter is the uncontrolled supply of voltage and current. So initially a convectional PID controller is designed to re...