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Data from this study provides the first scientific evidence to demonstrate the benefits of using artificial saliva containing vanillin to maintain healthy gums and accelerate oral wound healing.
The reduction of salivary flow enhances the risk of dental caries and other infections in the oral cavity.
data expressed as the mean number of cell migration + SD *significant difference from control a) control without vanillin b) 0.25% w/v vanillin c) 1% w/v vanillin d) 4% w/v vanillin Fig.1.
In diabetic rat models, the inclusion of vanillin in the chitosan membrane was shown to improve the healing process by a reduction in wound size, an increase in collagen deposition, and re-epithelialization [9].
Summary Data from this study provides scientific evidence to demonstrate the benefits of using artificial saliva containing vanillin to maintain healthy gums and accelerate oral wound healing.

Vast amounts of data accumulated by the remote monitoring system for new energy vehicles makes data processing necessary.
Information redundancy is found when vast amounts of acquisition parameters are in data processing.
Method Data Description The data used is from the remote monitoring system for new energy vehicles operating in Shanghai EXPO.
The data contains 7 attributes and 10421 records.
Accordingly, data acquisition and data transmission can be optimized.

Using a Data-Model.
The data model is the data structure for storing the information during the engineering.
To keep the configuration data in sync with the life cycle of the production system, a tight coupling between configuration data and the production system is required.
Data Model.
The data model was developed using UML 2.0.

.% of ES nano bio-filler, respectively showed a significant reduction in total heat rate, promoting thicker and more uniform char layer in protecting the steel structural.
The results were calculated based on the average of three experimental data [8].
Comparison of the temperature profile of the coated steel plates and height of char layer Moreover, the data in Fig. 2 also showed that the thickness of the intumescent char layer for B and D containing ES nano bio-filler was increased to 39.0 mm and 48.0 mm, respectively.
The samples B and D showed a very significant improvement in reduction of THR with the addition of ES nano bio-filler.

In addition, reduction in the adsorption capacity with respect to temperature proves that the physisorption process is dominant.
The data was stored in Microsoft Excel macros.
Fig. 3: N2 adsorption isotherm at -196oC Type I isotherm data is evaluated to acquire the BET surface area, pore volume, and average pore diameter, and the findings of the porosity for both activated carbons are as tabulated in Table 1.
Based on Fig. 4 and Fig. 5, the reduction in the CO2 and N2 adsorption capacity with respect to temperatures implies that the physisorption process is dominant.

According to this phenomenon, this paper compared the two different bearing floating slab noise data, studied their dynamic characteristics under train loads.
As the lines with a large number of steel spring FST structure are in operation, there are low frequency noise like "gu long gu long" in the carriage when the train runs over the steel spring floating slab area, which affects passenger’s comfort, and also cause the more and more attention of researchers[1]-[3]. 2 Noise testing data in carriage when train runs over different track area Aiming at the problem, noise data from different floating slab areas was measured in the carriage.
One group of data (Fig.1-Fig.3) is the train run from common slab track to steel spring FST area.
The data from Fig.6 shows: noise in the vehicle rises unapparent when the train moves over high damp floating slab.
The test data in Fig.5 verified this method is feasible.

It is well-known that seismic disaster will cause serious damage, so the prediction and evaluation of seismic loss before earthquake event happened can provide foundation of disaster reduction program.
Macroscopic Vulnerability Model Based on GA-ANN 2.1 Collection and Pre-processing of Sample data From ref.4 -5, we picked out 80 sample data about the loss estimation results of earthquake which happened at different seismic intensity zones.
Normalizing the input-output data sets between certain ranges is an important step, this improves input-output generalization to yield accurate forecasts.
In this paper, eq.2 is used to normalize the raw data, after such pre-processing, the convergence time is significantly shortened
The data about seismic intensity, population density, per captia GDP and unit area GDP were input to the well-trained ANN model, the results as shown in tab.3 showed the output of the loss ratio of different areas, thus the estimation result could obtained.

Results comparison of the two methods applied revealed a reduction of the preliminary estimated remaining live obtained using metallographic replica analysis.
The "Coxing chamber" has the following dimensional and technical characteristics (figure 1): - Interior diameter: D = 6200 mm - The calculus length of the cylindrical element: L = 18500 mm - Nominal volume: V = 687 m3 - Upper / lower bottom: Spherical / Conical reduction - Thickness projected (W 1.5423 steel) Sp = 25 mm - Addition for operating conditions (lining of X6CrAl13 steel, W1.4002): C1 = 3 mm - Maximum allowable pressure: PS = 0,5 MPa - Working pressure: PL= 0,4 MPa - Hydraulic test pressure (top level): Pînc.=1,45 MPa - Admissible temperature / maximum permissible: TSmin / TSmax = +15 / +485 °C - Minimum temperature / maximum for work: Tmin / Tmax = +30 / +475 °C - Number of operating cycles: Nc = 3380 cycles - Total operating hours: Nt = 144882 hours - Thermal isolation: 250/200 mm; Figure 1 The aspect of the coxing chamber (box) 2.
Material 16Mo3 Test Data Test Name Temperature Stress Strain Time Selected 1 480 300 rupt. 2740 YES 2 480 300 rupt. 2620 YES 7 480 255 rupt. 2888 YES 8 480 255 rupt. 2746 YES 11 500 200 rupt. 2813 YES 5 500 255 rupt. 2728 YES 6 500 255 rupt. 2674 YES 12 500 200 rupt. 2722 YES 9 520 200 rupt. 2680 YES 16 520 300 rupt. 1483 YES 15 520 300 rupt. 1390 YES 10 520 255 rupt. 2748 YES 14
Conference on Cyclic Operation of power plat, Institute of Materials (IOM3) London, 27-28 September 2007; [3] * * * Expert system iRis-Power, iRis-Institute, Stuttgart, 2007; [4] * * * ASTM E 606: Constant amplitude low-cycle fatigue testing; [5] * * * GOST 25.505-05: Metod ispîtanii na malo]iklovii ustalosti pri termomehaniceskom nagrujenii; [6] * * * ASTM E 739-06: Statistical analysis of linear or linearized stress-life (S-N) and strain-life (e-N) fatigue data.

In addition to significant reduction in grain size, strong <0002> fiber texture inclined at an angle ~ 45o from the extrusion axis formed in the material.
Introduction Because of their lowest density amongst the structural materials and significant reduction in weight, magnesium alloys have very high potential to be used in automobile, aerospace and electronics industries [1].
The data processing was carried out with TSL software.
In addition to a detailed boundary characterization described above, the extent of twinning was estimated from the analysis of EBSD data.

In existing multi-rotor aerial robot design, all four or eight rotors usually necessary to provide lift, while also should to change their force to control the attitude of the robot at the same time, which brings a reduction in efficiency.
Figure 3 shows the acceleration obtained through GPS data.
Az Fig.3 Acceleration obtained by the GPS data The acceleration from SINS accelerometer is the actual feel of aerial robot’s acceleration.  
The discrete point data represents the measurement of the combination algorithm, witch consistents with the actual real value.
Fig.5 Four Controllable motion states of Aerial Robot Aerial Robot navigation and control hardware system mainly includes sensor module, power supply module, data processing module and communication module.