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The results obtained after the corrosion tests indicate a reduction of electrochemical activity and therefore an improvement of corrosion resistance.
The time spent for collecting the data per step was 1 s.
Data were automatically collected and analyzed with VersaStudio software (Version 2.44, Princeton Applied Research).

The lack of thermodynamic data for various corrosion product species has been a serious hindrance for such analyses.
To compensate for missing thermodynamic data, laboratory experiments and theoretical estimation models were applied in this study.
Data for gaseous species of the type AxClyFez was mostly lacking and only a limited amount of experimental data was available.
In this study, new more reliable data for the compounds NaFeO2, KFeO2, and semi-empirical data evaluations for gaseous or molten complexes of type AxClyFez was used for modelling calculations, among others [8,9].
The data was added to the comprehensive data collection found in the HSC Chemistry for Windows, Version 4, [10] in as consistent away as possible.

However, all this data relates to final roasting products.
Use of data obtained for pure substances without any clarifications is inappropriate.
Information on the standard thermodynamic data for reaction (3) is not reliable enough.
This data may be obtained using the results of work [13].
Bulletin of R&D and Economic Data. 8 (2018) 36-42

An important aspect of the reassessment study was the creation of a data bank including all information regarding the condition of the structure from the various phases of the structures life: a) Design Phase  Design premises (field data, geotechnical data, standards)  Design data (material data, structural model, geometry data)  Archives (reports, drawings) b) Installation Phase  Built up data (yard surveys, incidental damages)  Transportation data (fatigue, damages) c) Operation Phase  Modifications (deck loads, revamping)  Surveys (damages, corrosion, cracks, marine growth, scouring)  Monitoring (structural displacements/stresses, meteoceanographic data, cathodic protection data  Geotechnical data, equipment data  Statistical regression data (correlation of damage to joint characteristics) A statistical analysis procedure has been developed in order to correlate observed damage of inspected joints to possible (expected) damage of not
Based on the reliability analyses and the related criteria the following measures have been taken:  Redistribution and reduction of deck loads  Periodical cleaning of the marine growth  Extensive long term inspection planning  Inspection campaigns on critical nodes at reduced intervals Re-qualification of an existing platform in North Sea.
The structural integrity of the structure (see example Fig. 2) has been reassessed based on:  Evaluation of updated information (new data related to environmental load, to impact load and to resistance parameters)  Structural reanalysis based on selected load scenarios  Reliability analysis of critical members  Progressive collapse analysis for ship impact loading Fig.2.
Flood observation data in Prague and collapsed building The catastrophic flood was caused by two rainfall events following rapidly one after the other.
The observed flood data and the associated experience gave new insight on the protection of existing structures and on their safety.

The model results are validated by comparison with experimental data issued from the literature.
However, without volume reduction and appropriate treatment before disposal, refinery sludge will reduce the service-life of landfill sites and may result in an odor problem and create the risk of contamination, particularly on ground water, thus causing adverse health effects.
Conclusion Since, there are not many valid data available on modeling of refinery sludge sample (from the local petroleum refinery) gasification; the results obtained from our model could be very useful and applicable for further studies.
Future work will be further enhanced by using ASPEN PLUS equilibrium model validated with actual experimental data using updraft gasifier.

The first problem to solve is data, including interval , index selection, data preprocessing ; the second problem is how to choose the model assumptions in many econometric models
Therefore, this paper chooses the monthly data after 2001.
As the share reform process carried out bad assets, the overall NPL ratio reduction treatment carried out on non-performing loans ratio and other indicators of the kind of model is introduced directly into the dummy variable adjustment. ( Raw data not shown separately) (2).
As a result of the data as time-series data, in order to avoid the above two problems, we adopt the text cointegration model[8]
Result in long-term loans and working capital loans data model estimates as well.

In this paper, all test data are based on TJ type BRB made of homemade Q235 steel.
Since the sample data are limited, we use Bootstrap to evaluate the variance by resampling method with sample data can be put back, the results are listed in Table 5.
So the fatigue data in reference[6] is introduced here for blind test.
The relative conclusions and the accuracy of equations will be validated by comparing test data and predicted data.
For the predicted value with 50% assurance rate, the errors between test data and predicted data are relatively small.

RINEX is a standardized compressed data exchange format for satellite navigation system data.
The GPS-TEC program software is used to convert the downloaded RINEX data file to. cmn format in order to retrieve the necessary data [16].
The translated data includes time, PRN, STEC, VTEC, elevation angle, azimuth angle, latitude, and longitude.
Using this data, the ionospheric Spatial Gradient values are determined.
The studies for all observations used GPS-derived TEC from RINEX data to calibrate TEC at 30-second intervals.

The goal is to eliminate some unnecessary data from a block that has already been put in the receivers' memory pool.
Txilm achieves an 80-fold reduction in data size when compared to the original blockchains when combined with sorted transactions based on TXIDs.
Each node processes and saves a tenth of the data in this way, but the data is still validated across 100 nodes
The lowering of data relieves the blockchain's complete nodes' storage burden.
Data Secur.

Without other experimental data, these values were generalized until better information is available.
The internal diffusion control, plane surface model, fits data better, by any of these criteria, than the earlier model (equation 3).
Data at 38ºC and respective models.
Testing the model for other conditions is limited by the data available for this purpose.
Experiments may be required to get additional data, e.g., for leaching models.