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Immersion in SBF for a period of 14 days showed a significant reduction in the viability following 24 hours of incubation compared to that in deionized water incubated for 48 hours.
All data were expressed as mean ± standard deviation of 3 independent observations.
In the case of 7-day immersion, the deionized water treatment induced more reduction of the cell density after 24 hours of incubation.
In particular, immersion in SBF for a period of 14 days showed a significant reduction in the viability following 24 hours of incubation compared to that in deionized water incubated for 48 hours (p ˂ 0.05).
Based on our data obtained, it might be that the conductivity of SBF could improve wettability of a material.

Critical Initiating State and 2D Lagrangian Analysis of Pressed TNT Shi Huan1, Weijun Tao1,a, Fenglei Huang2, Guoping Jiang1 1Earthquake Engineering Research Test Center Of Guangzhou University, 510405, China 2State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing, 100081 China atwj2012@hotmail.com Keywords: Pressed TNT; Lagrangian analysis; Shock initiation Abstract: Shock initiation experiments on the explosives pressed TNT was performed to obtain in-situ pressure/radial displacement gauge data for the purpose of determining the Ignition and Growth reaction flow model with proper modeling parameters.
Fig.2 shows the particle velocity of shock front is fast with the increase of shock front pressure, and then the particle velocity reduction fast.
Fig.3 shows the relative volume at first time have a slightly reduction, which mainly for the shock front compressed the explosive, then more and more high.
There experimental data were used to calculate the particle velocity, relative volume, internal energy and fraction reacted by 2D Lagrangian analysis method.

The results indicated a considerable error reduction for the estimated data, in comparison with the original data, as high as 75, 68 and 78 percent for roll, pitch and yaw angles, respectively.
In order to simulate the effects of a 2 second shadowing, we intentionally produced a data gap by removing 60 data points from the measurements (Fig 6).
Fig 6- The orientation data of the optical tracking system with 60 missing data points (in the time period of 19 to 21 sec).
Fig 7- Comparison of the optical (red), real (black) and estimated (green) data for roll angle while missing 60 data points.
Fig 8- The error of the original roll angle (red) and that of the estimated data using the proposed fusion algorithm (green) while missing 60 data points.

In general, the output data of these approaches is related to the temporal and spatial evolution of the microstructure (grain boundaries and size, pores, …), which in turn controls the evolution of the material's properties, while initial microstructure, temperature, kinetic law for diffusion and grain boundary migration, specific interfacial energies and diffusion coefficients are the main input data for the model [3]–[5].
Simulation of the model with data extracted from the literature to represent the evolution of non-conserved phase-field variable η of two particles.
Input data for simulations.
The main goal is to evaluate the impact of these two main input data on microstructural evolution, in terms of grain growth and diffusion, porosity evolution, and time to achieve microstructural equilibrium.
Bates, “Partial molar volumes and size factor data for alloy constituents of stainless steel,” Metall.

The load-displacement data shows a typical elastic-plastic behavior at low penetration depth, which is thus allowed to calculate the nano-mechanical properties of this titania layer.
However, in the presence of H2O2, the rapid generation of a strong reduction peak is observed when the negative potential is only below −0.20 V, which is due to electrochemical reduction of H2O2 on TiO2 semiconductor (see Fig. 4a, b).
Concerning the reduction peak position and strength, a much stronger reduction peak can form when applying a more negative potential.
It means the electrochemical reduction is very accessible for H2O2 on pure TiO2 nanotube array.
Obviously, the reduction current has been greatly reinforced along with the increase of cathodic potential on GOD-TiO2/Ti electrode.

However, the reduction by ethanol or methanol often leads to the side alkoxysubstitition [1].
There are a lot of other reagents and methods for the reduction of diazonium salts, though not all of them are useful as a preparative procedure.
In this paper, we would like to describe the reduction of ADT by means of Fe-core/carbon shell nanoparticles (Fe@C).
In this case, Fe@C nanoparticles do not only accelerate the decomposition of ADT in aqueous solutions, but also radically change the direction of the reaction, because only nitrobenzene acts as a decomposition product 1a and p-nitrophenol is not fixed even in trace quantities (GC-MS data) (Scheme 2).
Sehested, Reduction of substituted benzenediazonium salts by hydrogen atoms in aqueous acidic solution studied by pulse radiolysis, J.

According to the data of field test, not all the noise is focused on the range of working frequency, but much higher than work necessary frequency.
The noise's measured value of vibrating conveyor and the noise's measured data of spectrum analysis are shown in Table 1, 2 and Fig.1 respectively.
Table 1 The noise's measured value of vibrating conveyor（dB） Table 2 The noise's measured data of spectrum analysis（dB） Fig.1 The noise frequency multiplication process curve of vibrating conveyor By analyzing the measured data, it can be seen that the noise frequency spectrum of vibrating conveyor is wider.
Afterwards, put the vibration response data obtained by finite element calculation of vibration slot surface into boundary element model, and project the data onto the boundary element grid.
Damping vibration and noise reduction technology is one of the effective methods of controlling vibration and noise.

The simulated results are compared well with the physical experimental data.
Through the comparisons with physical test data, the problems in the current model and next step work are discussed.
The reduction index β is determined with Eq.(6).
The simulated results have the same trend with the physical experimental data.
Based on the DEM simulation, the relationships between the compressional strength and ice temperature, salinity and brine volume are obtained, and the numerical results agree well with the physical experimental data.

Kocks-Mecking plot of strain hardening (Q vs. s) with selected tensile data for the defective 4.5%wt of Si DI: pivotal point sP = 581.4 MPa, and QP = 2575.6 MPa.
Kocks-Mecking plots: a) NS effect (blue data) simulation with kr = 1.0 on the sound sample Y50 1398 data (in red): sV is not changed (sV = 739.8 MPa); b) NS (kr = 1.0) + CDM (v = 4.0) effects (black data) on the sound sample Y50 1398 data (in red): the saturation stress is now significantly reduced from 739.8 MPa to 665.7 MPa.
Tensile flow curves resulting from integrating Equation 4 fitting the tensile strain hardening rate data of the defective cast irons: a) Y75 1402; b) Y50 1395.
Through fitting Equation 4 to the tensile strain hardening data of samples Y75 1402 and Y50 1395 by using the differential data of the sound material (Y50 1398), excellent match between the fittings and the experimental flow curves were found, reported in Figure 6.
Zanardi, Soundness discrimination in ferrite ductile irons through tensile data analysis, Int.

The results of the dynamics of heating, melting, crystallization and plasma formation processes are well described by simulation data.
The present report compares the investigation results of the dynamics of phase transitions (amorphous-melt-crystal) with the computer simulation data.
This reduction is connected with poor thermal contact due to low wetting of the melt and substrate.
Probably it is related to the reduction of thermal contact between film and substrate during full melting of the film.
Dots correspond to experimental data, dash lines – calculated data.