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Aluminum Reduction in SC1 Sasha J.
Trends such as lower temperature/concentration SC1, and higher temperature/concentration SC2 have reached a point of diminishing returns for metal contamination reduction.
Surface metals data collected over 4 months are presented in Figure 3 for an 8 hour bath life.
Kweskin, Diffusion and Defect Data Part B Solid State Phenomena, 187, pp. 275-278

This was done assuming that the efficiency of OTEC is proportional to the temperature difference between the warm surface seawater and the cold deep seawater [12] and using data from [2,7].
Table 1 shows the input data for selected important electricity generation technologies other than non-biomass renewables, while Table 2 shows the global technical potential of seven non-biomass renewable electricity technologies at different cost categories.
Data for selected important electricity generation technologies other than non-biomass renewablesa.
Nevertheless, this study is novel and significant in that it has quantified the competitiveness of OTEC technologies in regional detail using currently available data and has identified world regions where the potential market scale of OTEC technologies is large.
Mai: ReEDS Model Documentation: Base Case Data and Model Description (National Renewable Energy Laboratory, USA 2009)

Reduction coefficient method lacks of theory support, but practical application is more convenient [7-10].
Simplified design method for any design service life According to the method of specification on long-term performance test, the long-term performance tests specimens are not less than 18 valid data and the maximum time not less than 10000 hours.
We think that the relationship between the reduction coefficient and double logarithmic linear extrapolation are consistent.
The reduction coefficient is a special case of the double logarithm linear extrapolation.
But we should notice that the reduction factor of different design life may be different in different conditions.

The simulated experiment shows the modeling data is fit to the field data.
And even through Gleeble press and other equipment, it is not easy to attain accurate data.
To get the resistance of deformation model using neural network technology from the field data is an attempt to solve this dilemma.
In the same time, is calculated with Eq.(9) based on the data in table 1.
A model is shown in Figure 2: Fig.2:The deformation resistance of Q235 between 1310～1360K with rolling speed 52.5m/s and reduction 35mm Compared the data in Fig.2 with available data [1], the difference is less than10 %.

A retrospective study of obese patients after bariatric surgery with two years' follow-up data was conducted.
All data were analyzed by using multivariate adaptive regression splines.
Data mining in medicine can deal with this problem.
Firstly, MARS constructs a very large number of basis functions which are chosen to overfit the data initially.
Coupling with any arbitrary shape for the functions and interactions, and by using the above-mentioned two-stage model building procedure, MARS is capable of reliably tracking the very complex data structures usually hidden in high-dimensional data [7].

In the same figures also the uniform and fracture strain and the reduction in cross-sectional area are depicted.
For each of these trends, a visual trend line is included to help distinguish the data sets.
The strain-rate dependence on ductility can be described by the reduction of cross-sectional area in necked region observed after fracture.
These data can contribute to the improvement of the current understanding of the non linear behaviour of materials by taking into account the effect of the rate of loading and in the knowledge of the materials response to dynamic loadings.
A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures.

As green roof technology is still emerging, there is limited technical data available at present in Malaysian climate.
(a) (b) (c) Fig. 1: (a) Roof 1 consists the existing green roofs planted with Lantana camara and Orthosiphon samineus; (b) Lantana camara species; and (c) Orthosiphon samineus species The data observed were the temperatures on the top and bottom of the green roof boxes with the ambient temperature.
Temperature data for Roof 1 was observed on 21st November 2013 while for Roof 2 was on 25th February 2014.
However, no meteorological parameters data were observed on that day.
On the other hand, the reduction for Roof 2 was between 7.0°C and 15.0°C or in average 10°C during extreme dry weather.

In particular, the conditions of rolling reduction (0~60% reduction in thickness) and heating rate (0.083 and 100 K/s) were varied to understand their effects on the microstructural development of DP structure.
The higher rolling reduction and heating rate resulted in the finer DP structure, leading to a large improvement in strength level. 1.
Therefore, an existence of fresh martensite is regarded as black colored no data region when the data with confidence index value less than 0.1 are removed, Fig3.
However, the grain refinement strengthening doesn’t lead to a significant reduction in elongation.
With increasing the rolling reduction and the heating rate, the grain size of recrystallized ferrite becomes finer and the tensile strength is more increased without significant reduction of elongation.

The reduction of nucleation field decreases exponentially with increasing incident irradiation intensity.
Introduction The ferroelectric material, lithium niobate (LiNbO3), is widely researched for various applications, such as nonlinear frequency converters, photonic band-gap devices, electro-optic Bragg switches, and data storage.
Fig.2 Plot showing the reduction proportion of nucleation field vs the incident irradiation intensity at 488 nm.
The plot in Fig.2 shows the reduction proportion of nucleation field En(I)/En(I=0) versus incident laser intensities at 488 nm.
It is evident from the plot that there is a threshold value for the intensity, and no reduction is observed below this value.

This design allows the cup reaction at relatively low gas flow rates to avoid flow limited mode and external diffusion resistance in the processing of experimental data.
Mass loss was recorded at the time, as shown in Fig. 4 (data analyzed by linear approximation).
The data presented in Tab. 1.
Analysis of the reduction processes in the two-dimensional version has been made on the basis of mathematical models of gas dynamics, heat transfer and reduction (Fig. 12a, b).
Analysis of published data revealed that the most important characteristics are reducibility and strength for the iron ore material, the coke reactivity index.