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Data analysis was carried out with statistical analysis software SAS9.1.
The following quadratic model had explained experimental data: Where y was oil recoveries from cream (%), X1, X2, and X3 were factor coding values of freezing temperature, freezing time and thawing temperature (see Tab. 1).
Tab. 5 Results of response surface optimization Factor Level Value Actual Value Conversion Order Value Oil Recoveries from Response Surface Optimization of Cream （%） Freezing Temperature x1 (ºC) 0.55319 -18.21276 -18 Freezing Time x2 ( h ) 0.85163 12.55489 12.5 Thawing Time x3 (ºC) 0.70890 57.089 57 93.41±0.59 Dimension reduction analysis The freezing-thawing parameters of the oil recovery in dimension reduction analysis (Fig.2), show oil recovery rate increases with the decrease of freezing temperature and then gradually levels off.
It is shows that the changes of proteins’ secondary structure in emulsion lead to the reduction of emulsion capacity, and ultimately release the oil from emulsion.
It is shows that the changes of proteins’ secondary structure in emulsion lead to the reduction of emulsion capacity, and ultimately release the oil from emulsion.

Under rolling of Ti-48%Ni-2%Fe single crystals in the phase B2 at 350oC the twinning is the main mechanism of plastic deformation by many initial orientations of these single crystals, as texture data show clearly.
The total deformation degree was varied in the range from 10% to ~80% by an average reduction per pass of 3%.
But the present study relates to the rolling temperature 350oC, so that obtained results can differ to some degree from analogous data for lower temperatures.
But taking into account the whole set of obtained data, it is more probable in this case to assume twinning.
a Predictions of active twinning systems on the basis of calculated distribution of the Schmid factor in Fig. 2(b) principally agree with the above-considered experimental data.

So two complementary edge cues [10], that is, the gradient and the template matching with a template derived from the input data are integrated as weights in (1).
Experimental data and setting The experiments are operated on two pair of images.
Three image partitions and their local details of the first group of data, got from PAN, MS and a union set of results of PAN and MS Figure 5.
Table 1 presents the spatial metrics for the second group of data, Table 2 and Table 3 presented the spectral metrics for the first group of data.
Zhang, "Multi-source remote sensing data fusion: status and trends," International Journal of Image and Data Fusion, vol. 1, pp. 5-24, 2010

However when facing a large amount of items, there would be performance reduction, because of building a very large item comparison dataset in order to find the similar item.
They had a good effort when used to discover the similar items, however, when facing the large scale data, they had some problems like the procedure of calculation was slow and so on.
from data set, generate a dictionary with format like {U => { I => R } }, U stands for a user of the user set and I stands for the item from the item set for recommendation to the users.
Dataset And Experimental Purpose The dataset we use for the experiment is the MovieLens 100K dataset which is consist of 100000 movie ratings rated by 943 people for 1682 movies.And we split the ratings of each people into 2 sets randomly with the proportion of 8:2.The experiment will process the 80% of the data to produce the results and the 20% data for validation.
Koren, “Factorization meets the neighborhood: a multifaceted collaborative filtering model”, in Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, 2008, pp 426–434

By means of the presented approach more experimental data can be taken into account for the extrapolation process with mathematical formulations based on Swift or Voce.
Admittedly, the flow curve calculated by the Swift extrapolation (Eq. 1) is overestimated and Voce (Eq. 2) is underestimated beyond the last experimental data point.
Thus, the Eq. 6 is determined to fit the experimental data of an E-modulus.
The material behaviour presented is modelled and calculated with the first coincidental shell element (Fig. 6b left) which is parameterised with the fibres input data.
From the numerical point of view, this material behaviour presented could be modelled and calculated with the second coincidental shell element (Fig. 6b right) which is parameterised with the PA6 input data.

User data can be stored on the network through .NET; it is compatible with any device to access the data anywhere, anytime through .NET. .
Therefore, as the data communication platform of the recommended environmental information collection and transmission system, GPRS system addresses the sources of pollution monitoring data real-time transmission problem. 2.3 Data Platform MYSQL database MySQL is a small open source relational database management system, developers is the Swedish MySQL AB Company.
Source thematic map use digitizers and GPS for data entry.
Terrain database data use ARC/INFO COVERAGE format framing store, require the application of ARC/INFO software, data editing, build topology, edge processing, projection, and the names of geographical names database connection and access to property data. 3.6 System Maintenance and Management Subsystem The whole system management and maintenance include data backup (system time automatically, manual backup, backup data objects), user category (browse query the user, system management user, system application user), permissions classification (system administrator, review, approval, reporting, query, modify), user-defined (Source unit users, environmental management users, third-party users (monitoring and publishing information).
Modeling and assessing inter-regional trade of CO2 emission reduction units,J.

The development of minimum quantity lubrication (MQL) cutting technology and its extensive application has promoted because of the requirement for the reduction associated with cutting fluids and the restrictions on the use of dry machining [3].
Tool wear and surface roughness were all affected beneficially under MQL conditions through reduction in the cutting zone temperature and favorable change in the chip-tool and work-tool interaction.
The cutting data is given in Table 1.
Based on the reduction in rate of flank wear growth, the tool life would be much higher if MQL is applied.
Moreover, due to reduction of the temperature of machined surfaces, adhesion levels were reduced and surface roughness obtained with MQL was much better than that achieved by wet and dry machining as can be seen in Fig.8.

Guo [30] conducted tests on shear strength of two types of CFRP-concrete imposed to 120 wet-dry cycles, in which the structures experienced the reduction by 25% and 48% in shear strength, respectively.
Shear strength had a more significant reduction after 100 freeze-thaw cycles.
Subjected to the corrosion of acid and alkali, properties of concrete, resin and fiber may be degraded, thus leading to the reduction of structural strength.
Structure.In designing reinforced structures, on the one hand, reasonable reduction factors of mechanical properties should be proposed on the basis of extensive accelerated tests, on the other hand, taking into comprehensive consideration for designing, in which characteristics of deformation or failure of structures due to deterioration and failure of materials should be fully aware of, besides strengthening the expected weaken parts.
Standards of testing durability of FRP reinforced structures need to be established based on the advanced testing methods so as to offer reliable experimental data for numerical simulation.

The reduction of bearing capacity of the pile group depends on the shape, size, spacing, and length of the piles in the group.
No such a reduction of bearing capacity due to group effect occurs for end-bearing piles.
(2) Calculating method recommended by the Code of Pile Foundation in Port Engineering According to the Code of Pile Foundation in Port Engineering [8], for a high-rise pile grid, the bearing capacity of pile group is the summation of the bearing capacity of individual piles by multiplying a reduction factor .
The reduction factor can be calculated as follows:
With the data in Table 1, the ultimate bearing capacity of the pile group with grouping effect can be obtained: Pu = 2×38.44 + 2×1.0×17.17 = 111.22 MN The factors of safety in the two states have been calculated and shown in Table 3.

Owing to microbial communities with different characteristics for nitrate and nitrite reduction, nitrite accumulation was observed in denitrification and inhibited the whole denitrification process [8].
Since nitrite is served as the electron acceptor in the anammox reaction, if the denitrifying bacteria have potential anammox activity, the nitrite produced via denitrification would be utilized rapidly, which would improve the nitrate reduction rate significantly.
Data were analyzed by one-way ANOVA followed by Duncan’s multiple range test.
The strain was tested positive for urease, catalase, nitrate reduction, and oxidase tests while liquefaction of gelatin, V.P, H2S production, and starch hydrolysis were negative.
Different carbon sources offered different number of electrons due to their oxidation-reduction potentials.