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Protein secondary structure was predicted by SOPMA (http://npsa-pbil.ibcp.fr/).
Secondary structure of OsEM protein was composed of 35.79% α-helix, 5.26% extended strand, 11.58% beta turn and 47.37% random coil (Figure 3).
Phylogenetic analysis of Em proteins from different plants Protein-protein interaction network analysis Structure of protein-protein interactions network was generated using String program, the result showed that OsEM is in a regulatory network comprising complex circuits.
Interaction network of LEA proteins Discussion Drought and salinity are the main environmental adversity constraining growth and productivity of plants, the normal structure of cells will be destructed under dehydrated conditions.
Hell: Journal of Biological Chemistry.

The MISO neural network structure consists of four inputs and one output.
Instead of using MISO structure, several studies have been conducted to apply multiple-input multiple-output (MIMO) neural network structure.
Author NN Structure Input Output Mapping Daneshvar et al. (2004) Three layer neural networks Input: temperature, concentration of TIPA and MEA, and CO2 loading in the solution (αCO2).
Both MISO and MIMO structures of neural network model can be used to provide high accuracy in prediction the CO2 absorption process.
Industrial And Engineering Chemistry Research, 53, 11, Pages 4413-4423

Lu, «Low-temperature plasma nitriding of AISI 304 stainless steel with nano-structures surface layer,» Z.
Xue, «Surface nanocrystallization by surface mechanical attrition treatment and its effect on structure and properties of plasma nitrided AISI 321 stainless steel,» Acta Mater., vol. 54, pp. 5599-5605, 2006
Boniardi, «The effect of nitriding, severe shot peening and their combination on the fatigue behavior and micro-structure of a low-alloy steel,» International Journal of Fatigue , vol. 62, pp. 67-76, 2014
Murch, «Diffusion in nanocrystalline materials,» Journal of Physics and Chemistry of Solids , vol. 64, pp. 873 - 878, 2003
Deal, «Mesoscale Modeling of Diffusion in Polycrystalline Structures,» chez Simulation of Semiconductor Processes and Devices, 1997.

The solid solution retained the structure of Si3N4 and cell size increased.
According to β-Sialon crystal chemistry, the central atomic radius of Al atoms is greater than the central atomic radius of Si atoms.
As a result, the bond strength decreased and the structure loosed.
After calculation and optimization, the reasonable structure of Si3N4-cBN (110) can be formed.
The structure of cBN is similar with diamond.

Fig. 1 Structure of CPAMQA.
Three reactive dyes, commercial samples of three primary colors reactive dyes with different representative structure types, C.I.
Reactive Blue 19 (vinylsulfone reactive dyes) were obtained from Shanghai Dyestuff Co., Ltd in China and their structures were shown in Table 1.
Table 1 Structures of three reactive dyes used in this paper.
Dye C.I generic name Abbreviation Structure 1 C.I.

MKPI can be used to make process innovation activities formalized, standardized and structured; DKPI can provide data support for process innovation.
Basic theories refer to the general rules in the field of natural science which is of directive significance to process innovation, for example, the theories and principles in Physics, Chemistry, Geometry, Materials and Biology
Most of aforementioned knowledge in the knowledge resources exists in discrete forms, which cannot be directly and effectively applied to process innovation activities without the structured processing.
Accordingly, knowledge from the innovation knowledge resources demands the necessary structuring and formalization. 2) Knowledge organization The organization of MKPI and DKPI are in accordance with the process problem solving processes.
Additionally, MKPI determines the form and structure of the knowledge gained from the innovation knowledge resources, which will be stored as the corresponding modules in the DKPI.

Digital Image Analysis for Morphological State Characterization of a Culture of Filamentous Microorganisms in Production of Antibiotics Náhlík Jan1,a*, Kukal Jaromír1,b, Kohout Jan1,c, Mareš Jan1,d, Hrnčiřík Pavel1,e, Vařacha Pavel2,f 1Department of Computing and Control Engineering, University of Chemistry and Technology, Prague, Technická 5, 116 28 Praha 6, Czech Republic 2Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, 760 05 Zlín, Czech Republic aJan.Nahlik@vscht.cz, bJaromir.Kukal@fjfi.cvut.cz, cJan.Kohout@vscht.cz, dJan.Mares@vscht.cz, ePavel.Hrncirik@vscht.cz, fvaracha@utb.cz Keywords: Filamentous microorganisms, Cell morphology, Digital image analysis, Industrial bioprocesses, Antibiotics production.
Therefore image analysis that allows the assessment and measurement of structure from examination of electronic images is applied.
The second step of the preprocessing is focused on the 2D porosity [24] of resulting structures, defined as relative frequency of background pixels in the binary image , which is created using threshold via formulae where I is truth value function.
It has to be stressed that calculation of all these measures is to the same extent largely dependent on the reproducibility of taking original photos of mycelial broth as well as on the ability of the preprocessing step to precisely depict the structure of cell broth in the bioreactor.
But the result of this referential method is also very complex structure as seen in Fig. 4.

Influence of Applied Potential on Electrodeposited ZnSe/ZnO Nanostructured Films for Photoelectrochemical Cell LAIMY Mohd Fudzi1, a, ZULKARNAIN Zainal1, 2, b *, HONG NGEE Lim1, 2 c, SUHAIDI Shafie2, 3 d and SOOK-KENG Chang1, 2 e 1Department of Chemistry, Faculty of Science, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia 2Materials Synthesis and Characterization Laboratory, Institute of Advanced Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia 3Department of Electronic Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia alaimy93@yahoo.com, bzulkar@upm.edu.my, chongngee@upm.edu.my, dsuhaidi@upm.edu.my, eskchang28@hotmail.com Keywords: electrodeposition, ZnO, ZnSe, photoelectrochemical Abstract.
For ZnO, JCPDS file of 00-003-0888 proved that wurtzite structure of ZnO was discovered, along with JCPDS file of 00-002-0479, proved that cubic structure of ZnSe was deposited.
Wurtzite structure of ZnO and cubic structure of ZnSe was electrodeposited as confirmed from the XRD analysis with the crystallite size of 20.13 nm.
Vancu, Optical properties and electronic structure of amorphous germanium, Phys.

As shown in Fig. 3a, the unirradiated PVDF film’s facture surface has a typical asymmetric structure as well as a dense surface layer [14].
It was noticeable that the asymmetric structure of all irradiated PVDF films ((Fig.3b, 3c and 3d) increased with the increase of irradiation dose.
This phenomenon occurred because the PVDF formed a crosslinked network after subjected to irradiation, thereby increasing the asymmetrical structure.
From SEM images, it was found that an improvement in asymmetric structure of all irradiated PVDF films was observed with the increase of irradiation dose.
[12] Forsythe JS, Hill DJT, Radiation chemistry of fluoropolymers.

Hydrophobic properties of existing enclosing structures, often produced with violation of the technology in order to speed up installation and reduce the cost of buildings, is an expensive laborious process.
Injection into the matrix of building structures requires the use of special equipment and significant costs of injection solutions.
One of the most rational and effective technology is the surface hydrophobic treatment of capillary-porous structures of materials with special impregnating compositions [5–10].
Hydrophobic impregnation should have a high wetting ability, while forming a spatial structure on the surface of substrate and after polymerization and drying and then it should create a surface that is low-wetted by polar liquids [16].
Hasik, Poly(methylvinylsiloxane)-based high internal phase emulsion-templated materials (polyHIPEs) – preparation, incorporation of palladium, and catalytic properties, Industrial and Engineering Chemistry Research 59(44) (2020) 19485-19499