this paper presents an accurate differential global positioning system (dgps) using multi-layered neural networks (nns) based on the back propagation (bp) and imperialistic competition algorithm (ica) in order to predict the dgps corrections for accurate positioning. simulation results allowed us to optimize the nn performance in term of residual mean square error. we compare results obtained b...

A number of recent studies have suggested that icariin (ICA), a class of phytochemical with numerous biological activities, may exert protective effects against postmenopausal bone loss. However, it remains unclear whether ICA regulates or improves the osteoblastic function of bone marrow stromal cells (BMSCs) in the treatment and prevention of osteoporosis. In the present study, the osteogenic...

Previous researches have explored the changes of functional connectivity caused by smoking with the aid of fMRI. This study considers not only functional connectivity but also effective connectivity regarding both brain networks and brain regions by using a novel analysis framework that combines independent component analysis (ICA) and Granger causality analysis (GCA). We conducted a resting-st...

Functional magnetic resonance imaging (fMRI) research is routinely criticized for being statistically underpowered due to characteristically small sample sizes and much larger sample sizes are being increasingly recommended. Additionally, various sources of artifact inherent in fMRI data can have detrimental impact on effect size estimates and statistical power. Here we show how specific remova...

The mechanism of the anti-beta-adrenergic action of acetylcholine (ACh) on Ca current, ICa, was examined using the tight-seal, whole-cell voltage clamp technique in single atrial myocytes from the bullfrog. Both isoproterenol (ISO) and forskolin increased ICa dose dependently. After ICa had been enhanced maximally by ISO (10(-6) M), subsequent application of forskolin (50 microM) did not furthe...

Today, there is a crucial need for precise monitoring and prediction of energy consumption at the building level using latest technologies including Internet Things (IoT) data analytics to determine enhance usage. Data-driven models could be used prediction. However, due high non-linearity between inputs outputs models, these improvement in terms accuracy robustness. Therefore, this work aims p...

Spoken dialogue based information retrieval systems that are used in mobile environments are becoming popular. However, mobile environment is dynamically changing and there exists many interfering signals. These two effects result in degradation in automatic speech recognition (ASR) accuracy and hence, degradation in performance of spoken dialogue based information retrieval systems. One way to...

The magnetic resonance (MR) appearance of the cavernous sinus (CS) was studied in 10 normal and 23 abnormal CSs(11 vascular and 12 neoplastic lesions) using T1-weighted spin echo images with and without Gd-DTPA. In normal CSs, the intracavernous carotid artery (ICA) was disclosed as an area of signal void that was not enhanced with Gd-DTPA. Most venous flow showed low intensity and was markedly...

Abstract Cellulose and ulvan were extracted sequentially from the green seaweed Ulva lactuca used for development of edible films with natural antioxidant properties. The composite composed cellulose, polyvinyl alcohol, glycerol as plasticizer different concentrations. interaction between film components was described by FT-IR analysis, which confirmed formation hydrogen bonding interactions ce...

PURPOSE Although a disparity vergence stimulus produces a smooth exponential-like response, considerable experimental evidence indicates that it is the product of at least two motor components: a pulselike transient component and a steplike sustained component. Recently, a new application of independent component analysis (ICA) has been used to decompose the vergence step response into these un...