BACKGROUND Endoscopic posterior nasal nerve (PNN) resection has been described as an efficacious surgical treatment of allergic and nonallergic rhinitis, but the requirement for surgery under general anesthesia has limited its acceptance. We report the first series of patients treated for chronic rhinitis using a novel device designed for office-based cryosurgical ablation of the PNN. METHODS...

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder resulting in a lethal outcome. We studied changes in ventral horn perineuronal nets (PNNs) of superoxide dismutase 1 (SOD1) rats during the normal disease course and after the intrathecal application (5 × 10(5) cells) of human bone marrow mesenchymal stromal cells (MSCs) postsymptom manifestation. We found that MSCs...

Forecasting Photovoltaic (PV) energy production, based on the last weather and power data only, can obtain acceptable prediction accuracy in short-time horizons. Numerical Weather Prediction (NWP) systems usually produce free forecasts of local cloud amount each 6 h. These are considerably delayed by several hours do not provide sufficient quality. A Differential Polynomial Neural Network (D-PN...

Considering that inputs of a process neural network (PNN) are generally time-varying functions while the inputs of many practical problems are discrete values of multiple series, in this paper, a process neural network with discrete inputs is presented to provide improved forecasting results for solving the complex time series prediction. The proposed model first makes the discrete input series...

This paper describes the use of the electro-mechanical (E/M) impedance method for health monitoring of aging aerospace structures. As a nondestructive evaluation technology, the E/M impedance method allows us to identify the structural dynamics directly by obtaining the E/M impedance signatures of attached piezoelectric wafer active sensors (PWAS). The theoretical model for 2-D structures, whic...

This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only. Existing solutions are based on dynamic programming and multi-parametric programming approaches, while the one proposed in this paper is based on a modified version of performance-driven reachability analyses. The algorithm ...

Abstract A group of transition‐metal catalyzed hydrogen moving reactions , encompassing autotransfer (HAT; also called borrowing BH), dehydrogenative condensation (DHC) and alkene isomerization, displays high atom economy relies on widely available starting materials. Such have considerable potential for clean reaction design application in sustainable synthesis. With the aim to develop study s...

Deep brain stimulation of the subthalamic nucleus (DBS-STN) is an approved treatment for advanced Parkinson disease (PD) patients; however, there is a need to further evaluate its effect on gait. This study compares logistic regression (LR), probabilistic neural network (PNN) and support vector machine (SVM) classifiers for discriminating between normal and PD subjects in assessing the effects ...