Refine
Year of publication
Document Type
- Article (58)
- Conference Proceeding (14)
- Report (5)
- Part of a Book (4)
- Book (3)
- Patent (1)
Keywords
- Clusterion (5)
- Air purification (4)
- Hämoglobin (4)
- Luftreiniger (4)
- Plasmacluster ion technology (4)
- Raumluft (4)
- CellDrum (3)
- Lipopolysaccharide (3)
- Sonde (3)
- Eisschicht (2)
- Erythrozyt (2)
- Kohlenstofffaser (2)
- Pflanzenphysiologie (2)
- Pflanzenscanner (2)
- lipopolysaccharides (2)
- nanostructured carbonized plant parts (2)
- nanostrukturierte carbonisierte Pflanzenteile (2)
- plant scanner (2)
- Autofluoreszenzverfahren (1)
- Bakterien (1)
Institute
- IfB - Institut für Bioengineering (85) (remove)
The carbonized rice husk (CRH) was evaluated for its wound healing activity in rats using excision models. In this study, the influences of CRH on wound healing in rat skin in vivo and cellular behavior of human dermal fibroblasts in vitro were investigated. The obtained results showed that the CRH treatment promoted wound epithelization in rats and exhibited moderate inhibition of cell proliferation in vitro. CRH with lanolin oil treated wounds were found to epithelize faster as compared to controls.
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.