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Thus, the current improved zirconia which is more resistant to the degradation would contribute to the polyethylene wear reduction over the extended periods.
Based on these data, we discussed the effectiveness of zirconia as one of alternate bearing materials.
Comparison of static fracture strength between H5 and improved zirconia Results Figure 3 shows the clinical wear data.
Clinical wear data Discussions To improve the longevity of THA, it is necessary to solve the late complications associated with implant fixation and polyethylene wear.
Hip simulator wear data Conclusions Since PE wear is multifactorial, the true wear characteristic of zirconia heads cannot be sufficiently evaluated just from the present clinical data.

The fabricated hydrogels retain their physical shapes and sizes during the experiments along with data reproducibility.
The data obtained were analyzed to describe the effects of electric field and crosslink ratio on the release mechanism and diffusion coefficient of the model drug from these polyacrylamide hydrogels.
The data clearly suggest that as the cross-linking ratio decreases, the mesh size increases.
The hydrogel is more rigid due to the reduction of the pore size [5], as shown in SEM micrographs in figure 1.
The data suggest that the diffusion coefficient decreases with increasing crosslink ratio due to the decreasing matrix pore size.

Deflection results from the numerical simulations were compared to data collected in the field.
As shown in Figure 2, the obtained data follow a non-linear decreasing trend line for all normalized embedment lengths considered in the analysis.
The rate of reduction of dh,max decreases significantly with increasing system stiffness.
This result is consistent with the data presented by [3].
The data represent the difference between readings recorded after preloading of the second and the third anchor levels.

Data of following ageing simulation methods under controlled environment was used. 1- Application of mechanical load to the insert, 2- application of mechanical load and temperature cycle treatment to the product and 3- applying mechanical load, temperature cycle and immersion in liquid solution simulating human sweat to the test product.
Experimental testing data was used in simulation and results were compared to analyze the ageing behavior of composite armor.
Aged material samples have been modeled in Solidworks and imported in Ansys engineering data, and then the model properties like mesh and initial setup conditions between sample and projectiles added.
In the simulation, projectile data including metal clad brass and soft lead properties defined in the material database, respectively.
• Simulation of experimental data revealed that ageing plays a significant role in determining life span of product • Application of mechanical load, temperature cycle treatment and immersion of sample in liquid simulating human sweat aggravates process of degradation and significantly reduction in mechanical and ballistic properties of Dyneema® UD SB21 • Effects of degradation in artificial ageing composite samples have similarity • Samples showed remarkable stress when subjected to ballistic impact against standard NATO caliber bullets and stress imparted on samples subjected to ballistic impact testing against 9 x 19 mm bullets was more pronounced • Aged bullet proof vest is more likely to impart greater trauma on human body as compared to new standard bullet proof vest References [1] Marzena Fejdyś, Marcin Łandwijt and Marcin H.

The present study explores by means of secondary data of a survey of case studies the current role of the available product certification schemes to improve the acceptance and the diffusion of RA and recycled products used in the construction sector.
Material and Methods In this section we briefly explain the type of data that we collected and used in the present study and the database where we searched the data for our analysis.
Data and collection sources In this study we considered the data about certified construction materials and products available in Italy.
The data have been searched on the following sources: · Catalogue of the certification “Remade in Italy” Remade in Italy, available at: https://www.remadeinitaly.it/catalogo-remade/.
After the data collection the identified products and materials have been classified on the basis of their environmental quality and certification schemes in order to collect for the latter all the certified products and materials confirming to each particular standard.

Real-time data between the realization of the switch Energyplus and Matlab into building control virtual test bed (BCVTB) as a middleware.
It reads input data files, these documents include all information, including pre-defined simulation period, building density and layout, HVACs schedules, etc.
In each time step, this is 15 minutes in the simulation, the client data read, write and from the socket.
Middleware instructions, and socket moving to and fro between these two projects realization of data exchange.
Fig. 2, System diagram that EnergyPlus and Matlab conduct real-time data exchange on BCVTB Virtual Building Modeling Modeling in EnergyPlus.

Three kinds of ground static military targets images acquired by SAR were used as the experimental data.
SVM can map the data to a high-dimension feature space by using a nonlinear mapping.
The simulation figure of parameter optimization The experiment and result analysis The data published by American Moving and Stationary Target Acquisition and Recognition program[6] was used as experiment data.
The data in depression 17° are used for training and the other for testing.
SVM classifier applied to the MSTAR public data set[J].

In the most recent reports, data obtained using large-area devices have been presented to demonstrate low defect density causing B-mode failures [6, 7].
The net stress times at 40 V were calculated from these data where we neglected long rise and fall times for 1 kHz.
Bi-directional Ig-Vgs data during DC (a) and AC(-5) (b) stress measurements.
Bi-directional Ig-Vgs data during -35 V DC stress measurements.
Though the lifetime enhancement is less in comparison to 1 kHz case (Fig. 2), these data shows that the enhancement effect is statistically correct.

At the same time, the numerically calculated results of the wave force acting on the hollow blocks are compared with the experimental data in agreement.
Moreover the numerically calculated results of the wave forces acting on the hollow blocks are agreeable well with the experimental data.
According to the figures, most point is enveloped in the y=x(1±10%), that is to say, numerical simulation results match well with experimental data.
Numerical results vs. experimental data under the action of peaks and troughs total horizontal wave forces outside of the hollow block Figure 3.
The comparisons of wave forces between the numerical value and experimental data are made in good agreement.

Regression analyses of the known experimental data establish the existence with a high level of reliability (R2=0.966-0.995) of a directly proportional dependence of this parameter on solubility of alumina and electrical conductivity of cryolite melts.
The aim of this paper to propose a fairly simple and valid method of assessing these properties at a limited number of data source using the introduced dimensionless parameter that define the complexing ability of the cryolite melt.
Acidification of the electrolyte (reduction of CR) is one of the main trends of improvement of the electrolytic production of aluminum.
According to this data, the equation of linear dependence of alumina solubility from parameter R2 is calculated: ,mol% = 2.18∙R2-6.97 For R1=1.5, the calculated R2 value for the potassium fluoride is 4.67, sodium fluoride – 3.45, which correspond to the experimental values of the alumina solubility of 5.67 and 2.00 mol.%, respectively.
According to this data, the equation of linear dependence of alumina solubility from parameter R2 is calculated: ,mol% = 3.08∙R2-8.62 Calculated from the equations Eq.5 and Eq.6 values are compared with experimental values in Table 1-4.