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Statistical analysis Statistical differences between data were analyzed with one-way analysis of variances (ANOVA) followed by the least Significant Difference (LSD) test for multiple pair-wise comparisons using Microsoft Office Excel 2003 (Microsoft Inc).
The reduction of V. parahaemolyticus in shucked oysters was from zero to 1.12 and 0.7 Log10MPN/g at 0 and 5℃ for 6h respectively, and decreased from 6.36 Log10MPN/g to 4.26 and 4.89 Log10MPN/g for 60h （Fig.3）.
However, V. parahaemolyticus reduction was much greater when the shucked oysters were treated with tea- polyphenols at the same storage conditions.
In addition, the population of V. parahaemolyticus in shucked oysters could not be reduced without tea-polyphenols treatment at the room temperature (20℃), but could effectively inhibit V. parahaemolyticus count increase by tea-polyphenols treatment and reduction 2.7 Log10MPN/g for 24h (Fig.3).
Fig. 3 V. paraharmolyticus reduction in shucked oysters during chilled storage with and without the treatment of tea-polyphenols Sensory acceptance of shucked oysters after the treatment of tea- polyphenols Fig.4 shows that the acceptance of oysters was dependent on the concentration of tea-polyphenols.

But, since SiO2 is the available raw material for non-ferrous metallurgy, the problem of silicon reduction in the aluminum melt arises, which remains unresolved today.
In [3], the thermodynamic possibility was established of the reaction of reduction of silicon from amorphous silica by aluminum (4Al + 3SiO2 → 2Al2O3 + 3Si) in the temperature range 298–1600 K.
As can be seen from the table the specific surface energy of nanoparticles with a surface area of one square meter (0.41-0.57 J/m2) is significantly less than the free energy calculated by the Gibbs-Helmholtz equation (5) ΔGT = ΔHТ0 – T· ΔSТ0, (5) silicon reduction reactions 4Al + 3SiO2 → 2Al2O3 + Si (from – 610 J/kg (T = 300K) to - 460 J/ kg (T = 1600K)), calculated for temperatures of 298–1600 K [3].
Take the particle mass m = 10 grams - this is 1 wt.% of one kilogram - the average percentage of introduced particles to modify the properties of materials, then for particles with a diameter of 18 nm (for the data in the first row of the table) the surface energy σ10 is calculated by the expression (7) σ10 = (0.74-0.41)·140·10 = 448 [J/kg], (7) The result is an energy value σ10 comparable to the energy of the silicon reduction reaction 410-610 J/kg.
Rafalsky, Synthesis of aluminum-silicon alloys by direct reduction of silicon using aluminomatrix composite ligatures, Casting and metallurgy 3 (61) (2011) 19-25

SEM-EBSD data were then analyzed using Tango Maps and Mambo Pole Figures software to obtain pole figure images.
Micrographs of Cu-29Zn alloy with the Mn content of (a) 0.006 [6] (e) 1.27 (i) 3.48 wt.% after cold rolling for 70% thickness reduction, followed by annealing at (b-j) 400, (c-k) 500, and (d-l) 600 oC for 30 minutes.
The effects of Mn content on the grain size of Cu-29Zn alloy after cold rolling for 70 % thickness reduction, followed by annealing at 500 and 600 oC for 30 minutes.
The change of hardness of Cu-29Zn-xMn alloy after cold rolling for 70 % thickness reduction, followed by annealing at 400, 500 and 600 oC for 30 minutes.
EBSD images of Cu-29Zn alloys with Mn content of (a) 0.006 (e) 1.27 (i) 3.48 wt.% after cold rolling for 70% thickness reduction, followed by annealing at (b-j) 400, (c-k) 500, and (d-l) 600 oC for 30 minutes.

Because of interactions and reactions among dislocations, their densities change over time as described by their rates: (1) is the production rate and the reduction rate of the dislocation densities r.
Also, climb and cross-slip are considered as thermally activated reduction rates. 3IVM+ makes no explicit distinction between edge and screw dislocation densities because essentially, their magnitudes must always be very similar.
The reduction rate of immobile dislocations in the cell interiors and the cell walls by cross slip is given by, (11) Again, is the attack frequency, chosen to be the same as in Eq. 6.
These compositions and grain sizes are used as fixed input data for the 3IVM+ simulations.
According to simulations with the model 3IVM+, the reason for this is that the dominating reduction rates of immobile dislocations, of eq. 11, find an equilibrium with their respective generation rates at certain levels of such that .

This approach reduces the aggregate requirement for concrete production while adhering to waste reduction principles by incorporating silica fume and fly ash as partial substitutes for cement [2,3].
The data in Table 2 reveals that the workability of fresh ULFFC decreases as the PVA fiber content increases.
The density of the ULFFC specimens exhibited a notable decrease over time, with a reduction of approximately 1.5% to 3.0% in dry density between demolding and oven-dry at 28 d.
Furthermore, the incorporation of PVA fibers at varying levels led to a decrease in the floating performance of the ULFFC specimens, resulting in significant reductions.
The reduction in buoyancy force can be attributed to the higher specific gravity of PVA fibers, which contributes to the overall density of the object.

Higher CA content brought a greater reduction in porosity; the average pore diameter remained unchanged.
The mortar with zero CA content also saw a reduction in porosity due to the influence of the 95 % humidity, which can be attributed to continued cement hydration.
The data shows a reduction in the number of pores with 0.5 to 0.05 mm in diameter.
There, the reduction in porosity during aging is caused by a slow and gradual hydration of the cement and by the hydration products of the CA.
The aggressive conditions also cause a reduction in porosity, most notably in terms of pores between 5 – 0.5 mm in size.

Fig.1 N-type crankshaft drive diagram The primary design of mechanical driver part was gear reduction mechanism and sliding key.
LCD initializing initializing begin Fig.4 The main program flow chart The control commands and datas are inputted by pressing the keys on the 4×4 keyboard, so the main programme has designed based on the keys function, it skips to corresponding sub-programmes of different key, then realize its function.
It has the conclusion as follows: The transmission mechanism: abandoned the gear reduction mechanism and chose worm-gear & worm reducer mechanism, which results in small dimention, steady transmission and low noise; The control panel: chose LCD with chinese character, added more keys and its fuctions, which resulted in more friendly human-computer interaction, more convenient control operations.The results indicate that the instru- ment have higher accuracy and the efficiency of pump has been improved greatly.
initializing accept the input value Q The input data are right？

Experimental data.
(a) A fringe pattern (upper image) and its boundary judge map (lower image), (b) one line data in (a) at the shadow boundary (a pink line in (a)), and (c) reconstructed 3D result before (upper image) and after (lower image) shadow boundary removal.
With detecting the beginning and ridge points in one line data shown Figure 5(b), the boundary area of shadow can be determined.
Saldner, Error-reduction methods for shape measurement by temporal phase unwrapping.
[14] Zhang, S., Phase unwrapping error reduction framework for a multiple-wavelength phase-shifting algorithm.

Further is effectively reduced pollution by vehicles inefficiently operate exhaust, and achieve the energy conservation and emissions reduction.
Fig. 1 Dynamic path guidance model under Internet of vehicles environment Dynamic path guidance model under Internet of vehicles environment The dynamic induction of Traffic path is mainly by collection and processing of the traffic data, the prediction of traffic state and optimal path calculation three parts, in which the most optimal path calculation is the core part of the dynamic traffic induction.
Under the Internet of vehicles we can get a lot of real-time effective traffic data, and complete the efficient communication with vehicle users, in order to realize the dynamic real-time traffic induction provides a good technical support.
But under the scale of the modern city road with the big data, the traditional algorithm has already not adapted to the road network conditions of dynamic change and consequent huge amounts of calculation, it does not well achieves the needs of the optimal path selection of roadway.
Basic ant colony algorithm has slow convergence speed, and easy to fall into local optimal value (referred to "premature"), for dynamic induction of large-scale complex road network, data amount of search path increases, which leads to convergence speed decline further, so the basic ant colony optimization can take the corresponding improvement strategy to improve the convergence speed and avoid premature phenomenon.

Figure 2: Rope effect of fasteners (photo: Rothoblaas) Initial Data The design of the tested connection was based on an actual project the author of which is František Lužica.
Relevant geometrical data of the individual parts of the connection is summarised in the Table 1.
With regard to the nature of the laboratory environment, the determined values of two main strength reduction coefficients – kmod and γM – were different from those recommended by the standard (see Table 2).
The strength is slightly exceeded due to the use of reduction coefficient kmod = 0.9 which, in laboratory conditions, can be disregarded.
Based on the measured data, it was possible to calculate the stiffness of the tested connection (which amounted to 1130 kNm/rad).