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Protonation of LiNbO3 crystals is accompanied by considerable decrease of Li and Nb bands in mass-spectra of secondary ions as well as by essential increase in the number of bands of other mass-lines [1].
It is necessary to consider possible reasons of the existence of a number of metastable phases in LlNbO3-HNbO3 system, which are related with the observed instability of the modified layer optical characteristics [22].
Neutron diffraction analysis carried out in [27] demonstrates sufficient background growth when powdered LiNbO3 is subjected to protonation in C6H5COOH alloy at 240oC for 2h; this growth being caused by non-coherent scattering of thermal neutrons on nuclei 1H (Table 3); width growth of structural Bragg reflexes is observed on protonated LiNbO3 neutron diagrams and is best displayed in (102) and (113) reflections; it is related to mechanical stresses that have appeared in grain thin layer (Fig.2).
Further growth of H+ concentration provides eightfold hydrogen finding of XOn groups, binding of chains by different number of O-H...O being realized in each local region of a crystal.
It is necessary to associate mechanical stresses appearing in modified layers on LiHbO3 and LiTaO3 with the number of hydrogen-bonded centers [23, 24, 27].

Waitz [28] studied the fine twin structure of martensite depending on the grain size D, which varied widely from 15 µm to 50 nm in monophase TiNi alloys.
Simultaneously, in these crystals the new tasks concerning the influence of the number of crystallographic variants of non-equiaxial particles on MT can be assigned.
Analysis of the SE curves in Fig. 35 shows that the stress at which stress-induced MT starts, σcr and the value of Δσ depend on the number of variant particles.
Secondly, the staging of σ(ε) curves, the value of stress hysteresis Δσ, and the value of SE depend on the number of particle variants.
Werner, Solid solution and grain size hardening of nitrogen – alloyed austenitic steels, Mater.

It was experimentally noted that the deposited structures largely retain the grain size of the impacting nanoparticles.
Almost 90% of the atoms are initially 4-fold coordinated, as expected since most of the particle has a cubic diamond structure; however, during the impact, the fraction of atoms having a higher coordination number (up to 7) increases rapidly, and at around 20 ps more than 40% of the particle is made up of atoms with a coordination number between 5 and 7, with less than 15% of the atoms having only 4 nearest neighbors.
Note that the βtin phase is characterized by a coordination number of 6.
Time evolution of the number of neighbors for impact at vp=2200 m/s.
This work was supported by NIRT-NSF CTS-0506748 and by the MRSEC-NSF under Award Number DMR-0212302.

The evaluation results showed that the variety number of high tolerance grade 1 and 2 are 393 and 614 respectively.
The amino acid sequence of a number of PI is known including the Kunitz and Bowman-Birk inhibitors from soybeans, lima beans (Phaseolus lunatus L.) and common beans (Summerfield and Roberts 1985).
TIs have been proven to act as protective agents against insect attack and their involvement in wound responses is currently receiving attention in a number of species.
Legume seeds contain a number of non-protein ANCs with significantly different structures and effects.
Grain legume crops, Collins

Surfactants have a significant impact on the grain refinement, removal of hydrogen bubble during deposition, and brightening of deposits when employed in modest amounts [11].
The following training parameters were assigned: Maximum number of epochs:1000; Maximum time to train in seconds: infinity; Maximum number of epochs between displays: 25; Performance target: 0; Least performance gradient 10–7; and Maximum validation failures are 1000.
The required number of neurons in the hidden layer is determined by the performance function (MSE).
Equation depicts the universal BPNN model for the optimized number of neurons (1).
Sharma, Classification of Handwritten Devanagari Number – An analysis of Pattern Recognition Tool using Neural Network and CNN.

The areas where the slope less than 8°were determined to be ground in the study, whereby this to make the slope layer binary, then use statistical analysis tools of neighborhood to ground pixel number within the window, which divided by the total number of pixel window can be obtained by P (A)/A.
In the process of normalizing, For positive indicators such as hydrological index and the biggest effect by index take standardization, to reverse indicators such as terrain ups and downs degrees to the least standardized effect; Suppressive indicators such as grain index for the standardization suppressive effects, specific standard formula is as follows: The biggest effect standardization : REi=(Xi-Xmin)/(Xmax-Xmin)
Table 2 Evaluation result on suitability for human settlement in Shiyang River Basin Level HEI Mean of HEI Area（km2） Scale(%) Suitable 70-84.32 78.66 1080.01 2.59 Rather and Comparatively suitable 60-70 73.89 1100.30 2.64 Common suitable 50-60 57.81 23328.04 56.08 Unsuitable 40-50 44.33 9937.60 23.89 Least suitable 17.13-40 34.50 6154.05 14.79 The correlation analysis between human settlement and human activities In order to carry out a further research on the correlation degree between the suitability of the human settlements environment and human social activities of Shiyang River Basin, this paper overlays the research results and 1838 individual residential parts of Shiyang River Basin, and separately calculates the number of residential parts and the condition of distribution in different suitable areas.
Table 3 The residential environmental assessment result in Shiyang River Basin HEI average living environment index settlement number percentage(%) 17.13-20 18.74 49 2.66 20-30 24.83 86 4.68 30-40 34.58 180 9.79 40-50 44.88 442 24.05 50-60 56.20 618 33.62 60-70 64.17 220 11.97 70-80 74.67 146 7.94 80-84.32 82.15 97 5.28 With the construction of rural roads, not only the distance of time has been shortening gradually, but also the human settlements environment appropriate level has been improving.
Beside, from the study that some settlements are located in poor areas of human settlements environment and a number of towns and villages located in the area near the desert, with complicated terrain, changeable climate, and scarce water, and economic development lags behind.

A number of developed countries use this source quite substantially, e.g. in Sweden and Austria 15 % of their primary energy consumption is covered by biomass.
According to the optimistic estimate is now qualified number incineration pellets at our limit of 1,000.
This number includes all types of boilers installed in the municipal sector and boilers and fireplace inserts installed in individual housing.
To the acquisition of advanced biomass and wood waste as fuel is essentially a number of options. 
However, the numbers say that the cost reduction and continuous interest in this fuel from wood waste predominate.

In the modern world, the number of species threatened with extinction, however, far outstrips the current resources available for their conservation, and the situation looks set to become rapidly worse [2, 4].
The habitat heterogeneity hypothesis proposes that an increase in the number of habitats leads to an increase in species diversity in a landscape, because of an expansion in the number of partitionable niche dimensions, which facilitate specialization and avoid competition through spatial segregation [16].
A number of studies have found weak correlations among the three plant diversity measures because different controlling factors are responsible for the geographical patterns of different aspects of species diversity [9, 10-12, 15].
Furthermore, counties are widely used in China as the fundamental administration units in the management of local biodiversity conservation practice, and are also used as spatial units in a number of broad-scale biodiversity studies [5, 7, 20-22].
In addition, though grain size has been cited as a confounding factor in relevant studies [52-56], Feng et al (2011) showed that spatial associations among the three types of diversity measures at grid scale did not differ significantly with those at county scale [8], which, to certain extent, was consistent with Larsen and Rahbek [57].

Microscopic observation showed that grain formation led to the increase in strength [10].
This was due to the fact that pulse discharge energy increases with increase on Ton leading to a faster cutting rate in sample 1 but in sample 2 the cutting speed may be decreased due to increase in number of RHA particles, as the machinability decreases with the increase in RHA.
Also due to presence of a greater number of RHA particles in composite the electrical conductivity decreases in the MMC sample which is reducing cutting speed as discharge power decreases.
As the pulse off time declines, the number of discharges within a specified time period turn out to be more which leads to increase in cutting speed.
Adjusted R2 [R-sq(adj)] is a modified R-sq that can be adjusted for the number of terms in the model.

Given the limited number of original samples (five 3D matrices), data augmentation played a critical role in enhancing the generalization capability and robustness of the model.
It is defined as: (4) where is the number of true positives, is false positives, and is false negatives.
However, certain limitations are observed in capturing fine-grained structural details.
In the initial stage (300–500 °C), Kt increases slowly from 2.14 to 4.05, mainly driven by moderate increases in pore number and size.
This study was supported by National Natural Science Foundation of China (Grant Numbers: 52305292, 22206174, 52305292) and the authors also appreciate the financial supports from Young Elite Scientists Sponsorship Progress by CAST (NO.2025HYTP024).