TY  - JOUR
A1  - Akimbekov, Nuraly S.
A1  - Digel, Ilya
A1  - O´Heras, C.
A1  - Tastambek, K.T.
A1  - Savitskaya, I.S.
A1  - Ualyeva, P.S.
A1  - Mansurov, Z.A.
A1  - Zhubanova, A.A.
T1  - Adsorption of bacterial lipopolysaccharides on carbonized rice husks obtained in the batch experiments
JF  - Experimental Biology
N2  - The  scope  of  this  study  is  the  measurement  of  endotoxin  adsorption  rate  for  carbonized  rice  husk.  It  showed  good  adsorption properties for LPS. During the batch experiments, several techniques were used and optimized for improving the  material’s  adsorption  behavior.  Also,  with  the  results  obtained  it  was  possible  to  differentiate  the  materials  according to their adsorption capacity and kinetic characteristics.
KW  - surface modification
KW  - adsorption
KW  - carbonized rice husk
KW  - lipopolysaccharide
Y1  - 2014
SN  - 1563-0218
N1  - Original in russischer Sprache
VL  - 60
IS  - 1/2
SP  - 144
EP  - 148
PB  - Al-Farabi Kazakh National University
CY  - Almaty
ER  - 
TY  - CHAP
A1  - Behbahani, Mehdi
T1  - An Experimental Study of Thrombocyte Reactions in Response to Biomaterial Surfaces and Varying Shear Stress
T2  - Proceedings of the International Conference on Biomedical Engineering and Systems Prague, Czech Republic, August 14-15, 2014
Y1  - 2014
SP  - Paper 125
ER  - 
TY  - JOUR
A1  - Yang, Peng-Fei
A1  - Kriechbaumer, Andreas
A1  - Albracht, Kirsten
A1  - Sanno, Maximilian
A1  - Ganse, Bergita
A1  - Koy, Timmo
A1  - Shang, Peng
A1  - brüggemann, Gert-Peter
A1  - Müller, Lars Peter
A1  - Rittweger, Jörn
T1  - A novel optical approach for assessing in vivo bone segment deformation and its application in muscle-bone relationship studies in humans
JF  - Journal of Orthopaedic Translation
Y1  - 2014
U6  - https://doi.org/10.1016/j.jot.2014.07.078
SN  - 2214-0328
SN  - 2214-031X
VL  - 2
IS  - 4
SP  - 238
EP  - 238
PB  - Elsevier
CY  - Singapore
ER  - 
TY  - JOUR
A1  - Arinkin, Vladimir
A1  - Digel, Ilya
A1  - Porst, Dariusz
A1  - Temiz Artmann, Aysegül
A1  - Artmann, Gerhard
T1  - Phenotyping date palm varieties via leaflet cross-sectional imaging and artificial neural network application
JF  - BMC bioinformatics
N2  - 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.
Y1  - 2014
U6  - https://doi.org/10.1186/1471-2105-15-55
SN  - 1471-2105
VL  - 15
IS  - 55
SP  - 1
EP  - 8
ER  -