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The data indicate that CGPI contains adequate amounts of essential amino acids in relation to the reference FAO/WHOpattern.
Hydrolysates were rich in His, Arg, Ile, Val when compared with the starting material, but showed a reduction in Lys, Phe, Met, Thr.
Enzymatic hydrolysis of CGPI led a marked increase in solubility at all pH values, at alkaline pH (>8), both hydrolysates were easily and completely soluble or dispersible (>55%).The data revealed that a progressive increase in the solubility of protein hydrolysates with increasing extent of proteolysis is due to the reduction of its secondary structure, and also to the enzymatic release of smaller polypeptide units from the protein.

Cold rolling (20% and 50% reduction) was performed in a laboratory rolling mill while compression tests (2%, 7.5%, 10%, 15% and 20% reductions) were conducted on a servo-hydraulic MTS (Mechanical Testing System) machine.
The data of the inverse pole figures (<0001> projection of the respective compression/rolling planes) were taken from individual EBSD (Electron Backscattered Diffraction) scan(s).
This point is discussed latter in the section of rolled microstructures. tm data showed interesting patterns: (i) increase till 2%, (ii) drop during 2-7.5%, (iii) increase from 7.5-10% and (iv) gradual drop beyond 10% deformation – see Fig. 4.

The reading speed of disc driver is becoming higher so that mass reduction of the part is also required.
So, aluminum casting application to this part could satisfy the weight reduction, but aluminum alloy part by conventional die-casting method could not meet the quality requirement so far.
The monitoring data of shot speed and metal pressure can explain the metal flow condition in the die cavity.
In case of 50% solid fraction slurry the monitor data shows smooth shot motion after passing through gate.

Introduction Incineration is a common method often used to treat municipal solid waste (MSW) to achieve reduction of waste volume and mass, detoxification and and sterilization.
Data derived from these methods may help regulators and plant operators to develop methods for handling MSWI slag.
These data can also be used as a basis for geo-chemical modeling of long-term slag stabilization, which will aid engineers to explore disposal and recycle methods environmentally benign over the long-term.
With increase of pH, leaching concentration of Cu (Fig. 2(b)) expressed a linear reduction with between 1 and 5, demonstrating that Cu tended to be leached out in strong acidic environment.

The spread of these insect pests results in crop yield reduction and quality reduction every year, which brings great challenges to food security of China.
Experimental Data And Pretreatment Samples include positive samples and negative samples.
At first, we introduce the experimental data and pre-processing, then introduce the training of cascade Gentle AdaBoost algorithm.

Moreover, the reduction in portlandite as the result of pozzolanic reaction leads to advancement in durability performance.
Furthermore, improvement in early strength development, reduction in alkali-silica reaction [6]and increase in resistance to sodium sulphate attack of concrete [7, 8] have been reported when metakaolin wasincorporated in concrete.The outstanding performance of metakaolin in concrete is generally attributed to its micro-filler, nucleation and pozzolanic effects [4] The pore structures of concrete which are influenced by the type of binder and the degree of hydration fundamentally controlled its strength and durability.The strength- porosity relation of cement based materials without mineral admixtureshas been expressed in the form of power’s model (Balshin)which is essential for functional performance design of mortar.
Figure 5: Porosity of cement blended mortar Application of strength- porosity mathematical model Application of theoretical model (Balshin) which expresses the strength and porosity relation of cement based materials,[14] to the experimental data leads to generation of the equation shown in Fig.6.
For standard deviation (s=2.94) and coefficient of variation (CV=5.94%), it could be concluded that the power relationship (Balshin) fits the experimental data.

The material production step and the manufacturing phase to obtain a simple axy-symmetric aluminum component is considered for the Life Cycle Inventory (LCI) data collection step.
Life cycle inventory data collection The bulk forming process.
As the die and billet heating energy consumption is concerned, some data present in literature have been preferred in order to better describe the aluminum billet heating industrial practice [19].
Such data have been picked up from the research published by Rajemi et al. [4].
An LCA approach based both on experimental measurements and bibliographic data collection has been presented.

The cell number (proliferation data) was assessed based on the MMT [3-4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide] (Sigma, USA) reduction into insoluble formazan crystals by the mitochondria of living cells, measured through its absorbance at 570 nm.
Similar data were observed by Du et al. [9] who found peaks at 20.3º and 24.6º.
This data corroborated the studies of Choi et al. [10] and Feng et al. [11].
These data were similar to those found by Wang et al. [12].
All data are reported as mean ± standard deviation (n = 3). * Statistically different (p < 0.05).

Indoor temperature reduction in the setback heating mode creates a high energy saving potential.
After processing data received from the Russian and French Meteorological Services, the authors determined the duration of daylight hours for each month in various cities of the Russian Federation.
Data for the cities under consideration are given in Table 3.
It is worth noting that for cities located in practically the same latitude (68-69 0N) the climatic data differ considerably: in Murmansk the heating season lasts 275 days, while in Norilsk it lasts the whole year.
Calculation data are given in Tables 4 and 5.

The proposed method employs wavelet denoising to deal with the signals, which can reserve enough information of original data, and then establishes PCA model.
But on-site data inevitably contain varying degrees of significant error, measurement noise and system noise; the level of noise will directly affect the accuracy of the PCA model.
To solve these problems, in this paper, wavelet denoising is combined with PCA, first, wavelet denoising is used for data preprocessing, and then PCA is used for fault detection and diagnosis.
PCA is a method developed to reduce data dimensionality by extrapolating correlated variables in sets of new uncorrelated variables, keeping variance of the original data.
In general, if the CPV of k principal component reach more than 85%, k principal component can express enough information of the original data, so the number of principal component is k.