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On the contrary, the creep resistance of the HR3C base metal shows the minimum reduction.
The data points in the Fig. 7 are fitted to a linear fit.
The service HR3C base metal has a 90% reduction in impact toughness compared to the supply state and the serviceT92 base metal has a drop of about 30% compared to the supply state
On the contrary, the creep resistance of the HR3C base metal shows the minimum reduction.
Advances in the use of stress relaxation data for design and life assessment in combustion turbines.

ANOVA treatment of the measured data indicates that all three experimental factors significantly impact the compressive strength.
Results and Discussion Results from the preliminary experiment are summarized in Table 2, with data for OPC included as references.
Statistical analysis of the data using ANOVA method indicates that the main effects of both aluminosilicate and alkali type are significant at 95% confidence level.
Results of the main experiment are summarized in Fig. 1, in which error bars corresponding to 95% confidence intervals of the average compressive strength data are included.
ANOVA treatment of experimental data identifies KOH and fly ash as raw materials producing faster setting and higher compressive strength due to their higher reactivity as a reacting pair.

With this step a new focus becomes important for the SiC researchers: it's no longer most important to show basic capabilities and new world record data of the power devices, but to consider what properties and trade off make such devices most acceptable for the system designers.
Both own measurements and external data show, that the resistivity of > 10 18 cm -3 doped 4H substrates is quite temperature independent in the range between - 40°C and +175°C.
The trade off for this is a somewhat higher leakage current which can raise up to 8E-2 A/cm² @150°C according to our data sheet [7] Anyway the reverse losses are still a factor of 20 lower than the forward losses considering full blocking voltage.
In Table 2 the dynamic properties of JFET Cascodes are compared with the data of standard high voltage Si-MOSFETs [14].
In fact, the above mentioned small chip products are taking over the position of volume drivers for the 4H substrate development, putting a more important focus on cost reduction and diameter increase (to be more compatible at least with GaAs technology) than on defect density reduction.

Significant reduction of martensitic points for MA alloys was observed that was attributed both to nanocrystalline structure formation and samples impurity at milling.
In according of data [8, 11, 14, 15], α-Fe based solid solution is the predominant phase for MA sample of this composition, only ~8 vol. % of the f.c.c. phase was found in this powder according to X-ray data.
Observed effect of the exposure duration may be associated with the particularities of structure given to an alloy while severe deformation produced by mechanical alloying: nanograin size, high strengths, grain boundaries etc. are the main factors responsible for reduction of martensitic temperature.

The second one is to investigate the performance of solar absorption system arrangement using parabolic trough collector at different ambient conditions following Indonesian weather data.
For the simulation, Indonesian weather data was applied which include solar radiation, insolation, ambient temperature, humidity, main temperature and ground reflectance.
Properties tax in Indonesia was 0.1% assumed without annual increase based on data that there was no change of the tax since 1985 [2] and without any discounts or subsidy from Indonesian government.
A reduction of 37% of CO2 emissions would be achieved.
[12] G.L.Morrison, Sudjito, Solar radiation data for Indonesia, Journal of solar energy science and engineering 49 (1992) 65-76

Data processing for analysis of rainfall data from Weatherlink station in Bongao, Tawi-Tawi, and roof area digitization conducted for Sitangkai Poblacion.
Data Sources and References.
Data Collection.
Boundary Data Acquisition.
Result and Discussion Climatological Data Analysis.

Thus, data cloud pretreatment is needed for the data obtained by measuring, such as removing noise points, data interpolation, data smoothing, data reduction, data partitioning and splicing of the multi-view data cloud [27].
(iv) 3-D Reconstruction The data obtained from measuring instrument is usually large and disorder.
In order to do the further treatment (such as Feature extraction and surface fitting) for the data cloud, it is necessary to sort the data cloud and construct a certain form (such as triangular faces) or directly extract the characteristic from the data cloud and then fit the characteristic surfaces which could guarantee high precision.
Segmentation of the whole data cloud could be applied, the data cloud can be divided into many small pieces, then the entities’ primary shape could be recovered by global matching [28,29].
Not only the obtained data cloud but also existing CAD software could be used to reconstruct.

Continuatively as seen in Fig. 1 and Tab. 1 the flow curve approximation of Swift returns the best fitting with the experimental data of the steel DC06.
Both models (Hill`48 and Yld2000-2d) do not fit exactly the experimental result of the shear test`s initial condition, but in direct comparison Hill`s model is closer on the experimental data of the material DC06 as the yield criterion of Barlat.
By regarding the deviation of the experimental data to the yield criterion this is an effective method to determine the best fitted yield model for the given material on the one hand and to analyze the hardening behavior of the material under non-linear strain paths on the other hand.
This reduction is enlarged with increasing prestrain.
A software tool extracts the parameters of the yield criteria for the given experimental data and compares the yield stress of the prestrained shear test with the corresponding locus on the yield function with isotropic work-hardening.

Data Storage 7.2.
MNPs also show great potential in data storage [206], environmental remediation [207], nanofluids [208], optical filters [209], defect sensor [210] and cation sensors.
Data Storage: The availability of ultra-high density magnetic data storage devices at low costs fuels to a large extent today’s information age.
The storage of data or information via the magnetic materials is regulated by data holding capacity of media.
Thus, such an assembly makes a magnetic data storage device with each individual particle resembling one bit of data.

Therefore a health care data warehouse is essential to integrate the multiple data sources into a central data repository and analysis health care data to make decisions.
Figure 5: A framework for loading data into data warehouse 3.1 Data Sources Data from multiple data sources (OLTP) are loaded into the staging area.
Figure 6: Data cleansing Once the data cleaning is done the data has to be loaded into data warehouse.
Online analytical processing cubes are data structures that the data warehouse uses to store the data.
Roll Up (dimension reduction, aggregation): Roll up allows the user to find solutions for their queries by moving up an aggregation hierarchy.