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For instance, entropic stabilization based on the high-entropy effect neglects the chemistry of the alloy and suggests that all HEAs should exhibit solid solution based single-phase microstructure.
The crystal structure of an alloy also plays an important role in stabilizing the composition corresponding to the highest entropy of mixing.
|–TΔS| > |ΔH|, for a given HEA composition, the role of enthalpy of mixing cannot be neglected when comparing the HEA compositions with similar chemistry but different configurational entropy.
In fact, it appears that the PEF and Di* depends on the chemistry/composition of HEA rather than ΔSmix.
Yeh, Interdiffusion in the fcc-structured Al-Co-Cr-Fe-Ni high entropy alloys: Experimental studies and numerical simulations, Journal of Alloys and Compounds 674 (2016) 455-462

Shrinkage Reducing Admixtures (SRA) are being used more often in concrete structures in order to better control shrinkage cracks.
Introduction Shrinkage Reducing Admixtures (SRA) are being used more often in concrete structures in order to better control shrinkage cracks.
Gast: Physical Chemistry of Surfaces, 6th Edition, (1997), New York: Wiley-Interscience, John Wiley & Sons, Inc

Enzymatic Saccharification of Cellulose Pretreated from Lignocellulosic Biomass: Status and Prospect Yuxiao Wang1, a, Mengjiao Dong1,b , Wenchang Zhuang1,c 1Xuzhou Biofuel Engineering Research Center, School of Chemistry and Chemical Engineering, Xuzhou Institute of Technology awangyuxiao@xzit.edu.cn, b279891016@qq.com, cwindchant@xzit.edu.cn Keywords: lignocellulosic biomass, cellulose, enzymatic saccharification, fuel ethanol production Abstract.
This paper reviews the status of enzymatic saccharification of pretreated cellulose, including the improvement of structure and composition of the substrate by pretreatment, the operation of high substrate concentration, the efficient mixing of multi-enzyme system, the addition of non-catalyst, the recycling of enzyme, the elimination of product inhibition, and finally summed up the present challenges and the future prospects.
Currently, a class of non-catalytic proteins, such as expansins [29,30] and swollenins [31,32], etc., can change the structure of cellulose and improve its performance in hydrolysis.

Figure 2 shows the control structure.
BPNN controller and learning algorithm BPNN controller outputs are the optimized extraction temperature control variable, so is also a MISO type structure.
Food Chemistry, 99, 450–454. (2006) [3]S.A.Rezzoug, N.Louka.
Analysis of the structure of one-input fuzzy PID.
Hydrid structure optimization algorithm of radial basis function neural network.

(2) An approximately linear shape of Nc after re-orientation, suggests a regular ancestral genomic structure.
The current nucleotide longitudinal structure, typical for each species, has evolved from this ancestral structure under selective pressure, to prevent inter-species genetic exchange of material.
This control segment contains the hyper-variable control regions HVR1 and HVR2, and the main structures responsible for initiation and regulation of mtDNA transcription and replication.
In a way similar to earlier findings for the nuclear DNA [1], regularities in the distribution of nucleotides and pairs of nucleotides have been found in mtDNA, which also has a well ordered structure.
[3] IUPAC - International Union of Pure and Applied Chemistry, http://www.iupac.org/, http://www.bioinformatics.org/sms/iupac.html [4] P.

The joint probability distribution of the network is determined by these local conditional probability distributions as (3) Learning Bayesian network structure is an optimization problem in that scoring function is used to measure the quality of a network given a data set and a search algorithm is used to find the network structure that maximizes this score [19].
· K2: It uses a greedy hill climbing among the structures consistent with an ordering [24].
It is based on the structure of the naïve Bayes network where the class variable is the parent of each attribute.
Throughout the experiments, ten-fold cross-validation classification accuracy has been used for learning the BN structures.
Petrovich and Z.M Prijovich: Clinical Chemistry Vol. 39 (1993), p. 1345 [2] M.

Musa1, d 1Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. 2Department of Chemistry, Bandung Institute of Technology, Jl.
The changes of grain structures were extremely observed after 50% cold reduction.
The amounts of dislocated and twin structures were increased with the elimination of the original grain boundaries.
The microstructure was identified with an elongated and heavily dislocated grain structure, which was consist of deformation twins and banded structure.
The increment of both oxides may due to grains modification during the cold rolling process, by producing high density of defects (such as deformation twins and banded structures).

Physical characteristic of CSC and MCTH The micrographs of surface structures of CSC and MCTH observed through SEM are shown in Fig. 1 (a) – 1 (c).
As a consequence, the structure of MCTH was analyzed and estimated.
It may be explained that calcium (II) ions were entrapped into the holes of bending and twisted structure of the new composite.
It was reasonable because there were oxygen atoms in the chain of its structure.
It was observed that a bending and twisted structure appeared from IR spectra.

The screen was made by double screen structure to produce large amounts of ion and active species on the cathodic screen.
The phase structures on the nitrided surface were determined by theta-2theta x-ray diffraction (XRD; RIGAKU, Japan, RINT-2550V) studies.
This indicates that the duplex structure of the surface region consisted of TiN on the top followed by the nitrogen-diffusion layer in the sample treated on the mount of Cu and Ti.
This profile indicates that the duplex structure of the TiN on the top surface followed by the nitrogen-diffusion layer was formed.
Therefore, the duplex structure of the TiN coatings and nitrogen-diffusion layer resulted in the high hardness and superior wear resistance of the SACM 645 sample.

a) Electrical conductivity; b) Hardness The effect of different microchemistry states on the annealed grain structure is present in Fig.4.
Even though no effect of microchemistry state on the recrystallization kinetics is found for C1-2 and C1-3 (see Fig.3b), its effect on grain structure becomes obvious as illustrated in Figs.4b and 4c.
Since concurrent precipitation for C1-2 and C1-3 is weak and similar, the difference in grain structure should be ascribed to the pre-existing particles, i.e., constituent particles and dispersoids.
The fact that the grains are slightly elongated for C-2 is an indication of weak concurrent precipitation, since pre-existing dispersodis are randomly distributed and should not give an elongated grain structure.
Similar grain structures and grain sizes were obtained for C1-0 and C1-2, while a much smaller grain size was observed for C1-3 due to its less effect from both pre-existing dispersoids and concurrent precipitation.