Refine
Year of publication
Document Type
- Article (60)
- Conference Proceeding (13)
- Part of a Book (4)
- Doctoral Thesis (2)
- Book (1)
- Report (1)
Language
- English (77)
- Multiple languages (2)
- German (1)
- Russian (1)
Keywords
- Clusterion (4)
- Lipopolysaccharide (4)
- Air purification (3)
- CellDrum (3)
- Kohlenstofffaser (3)
- Luftreiniger (3)
- Plasmacluster ion technology (3)
- Raumluft (3)
- lipopolysaccharides (3)
- Fibroblast (2)
- Hämoglobin (2)
- Pflanzenphysiologie (2)
- Pflanzenscanner (2)
- celldrum technology (2)
- nanostructured carbonized plant parts (2)
- nanostrukturierte carbonisierte Pflanzenteile (2)
- plant scanner (2)
- Adsorption (1)
- Bakterien (1)
- Bioreaktor (1)
We present an electromechanically coupled Finite Element model for cardiac tissue. It bases on the mechanical model for cardiac tissue of Hunter et al. that we couple to the McAllister-Noble-Tsien electrophysiological model of purkinje fibre cells. The corresponding system of ordinary differential equations is implemented on the level of the constitutive equations in a geometrically and physically nonlinear version of the so-called edge-based smoothed FEM for plates. Mechanical material parameters are determined from our own pressure-deflection experimental setup. The main purpose of the model is to further examine the experimental results not only on mechanical but also on electrophysiological level down to ion channel gates. Moreover, we present first drug treatment simulations and validate the model with respect to the experiments.
Background
True date palms (Phoenix dactylifera L.) are impressive trees and have served as an indispensable source of food for mankind in tropical and subtropical countries for centuries. The aim of this study is to differentiate date palm tree varieties by analysing leaflet cross sections with technical/optical methods and artificial neural networks (ANN).
Results
Fluorescence microscopy images of leaflet cross sections have been taken from a set of five date palm tree cultivars (Hewlat al Jouf, Khlas, Nabot Soltan, Shishi, Um Raheem). After features extraction from images, the obtained data have been fed in a multilayer perceptron ANN with backpropagation learning algorithm.
Conclusions
Overall, an accurate result in prediction and differentiation of date palm tree cultivars was achieved with average prediction in tenfold cross-validation is 89.1% and reached 100% in one of the best ANN.