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According to thermodynamic data from Ref. [9], this oxide phase is stable for in the range of 5.5–22422.
This model is in good agreement with the experimental data.
Calculated values using thermodynamic data from Stanislowski et al. [24] Trend from measured values by Wongpromrat et al. [6] Calculated values using thermodynamic data from Opila et al. [22] log j (j in g cm-2 s-1) Linear velocity (cm s-1) Fig. 5.3.
The values of psurface can be obtained by using thermodynamic data reported in literature.
It is noted that the oxygen partial pressure in Figs. 5.9 and 5.10 were calculated using thermodynamic data from Ref. [9].

Combining strengthening by grain size reduction with precipitate hardening is an attractive approach for the improvement of the mechanical properties of UFG alloys.
APT data of a Cu/V nanocomposite wire drawn to a true strain of 9.2: (a) - 3D density map computed from an APT analyzed volume showing nanoscaled V filaments (in red) aligned along the wire axis in the Cu matrix (in blue); (b) - Selected zone showing the typical curling of the V filaments in the cross section of the wire; (c) - Typical composition profile computed across several parallel Cu/V interfaces exhibiting a significant mixing induced by SPD; (d) - Concentration 2D map showing the nanoscaled roughness and the fragmentation of V filaments associated with the mechanical mixing (from [44]) The transformation in such systems processed by SPD can be schematically represented on a temperature versus time diagram (Fig. 2).
APT data for the 0.45%C steel processed by HPT at room temperature: a) - 3D reconstructed volume showing the distribution of carbon (red) and Fe (blue) atoms; b) - carbon concentration profile across a carbide/matrix interface (direction labelled A on 5a) showing that Fe3C carbides are partly dissolved during the SPD; c) - carbon concentration profile across a grain boundary (direction labelled B on 5a) showing a significant carbon segregation induced by SPD (from [84]) The physical mechanisms of such SPD induced segregations are still under debate.
It has been proposed for example that in the Al-Mg system, Mg solute atoms could relax some local stresses associated with free volumes leading to a reduction of the grain boundary energy [68].
It has been shown that this simple approach provides a relatively good fit of experimental data collected for an Al-Mg alloy processed by HPT both at room temperature (where CSPD >> C0) and at 200°C (where CSPD << C0) [68].

The element which gave the greatest increase in corrosion rate per unit weight was boron, followed closely by carbon, reminiscent of the carbon nanotubes inclusions being some of the most effective inclusions when considering potentiodynamic data.
During the degradation of PLA and PDLLA by hydrolysis a local reduction of environmental pH is achieved, which aids in degrading the underlying substrate.
Data adapted from Reference Coating Change in Degradation Rate [38] Hydroxyapatite (HA) -90% [56] Polylactic acid (PLA) 1100% [55] Poly-d,l-lactic acid Increased* [52] fluorapatite 0% [57] Poly(lactic-co-glycolic acid) 300% [58] Calcium zinc phosphate -99% [59] PLA 109% [59] PLA+HA -54% [60] HA -90% [50] HA -71% Traditional coatings used on non degradable metallic substrates such as chromium carbides and nitrides, as well as chromium zirconium nitrides and carbides amongst others are very corrosion resistant [61, 62].
These results show that although samples with low concentrations of iron produced similar cytocompatibility results to those obtained when testing in the hematologic environment, as the concentration of iron was increased in solution, the cytocompatibility began to decrease, such that a reduction in viability was recorded [70].
However, a closer look at the data shows that with each successive HA coating, the corrosion rate of the iron substrate decreases, such that soaking the 4 times coated Fe scaffold for 30 days in SBF, shows nearly no release of Fe.

In addition a new and more sophisticated theory is presented by the mathematical modeling of an interactive and completely coupled systems of dislocations and mobile point defects, such as that the computer simulation of which yields extremely accurate prediction of experimental spectral data in terms of Induced Cottrell Relaxation (ICR) and its gradual conversion into a Cottrell-Köster Relaxation (CKR) peak at high concentrations of spherical point defect.
If one realizes the fact that in stiff numerical experiments the shortest time constant always controls the step size, then one may immediately anticipate the reason why the low temperature data collection in computer simulations is extremely expensive and timeconsuming business as far as the processor time is concerned.
We should mention that the effective fo, which can be obtained directly from the experimental data by an Arrhenious plot of the peak temperature Tp versus the measuring frequency f, may be compared with our theoretical findings by utilizing the following formula: 4 = ddp of �2/1 , where 4ddp� may be replaced by 4host� or 4dec� , depending upon the nature of the dislocation damping to be analyzed.
Where, one has the following data: 14.0= b dH eV, 2Hk=0.16 eV, and 19.0= M dH eV.
As can be seen from this data that the kink-point defect binding energy KinkU is a factor of three smaller that the previous experiment.

Some investigators have measured approximately 10% reduction in response to high-energy radiations compared with that to 60Co gamma radiation, and others have not found any reduction.
After normalization of the depth dose measurements at 5 cm depth, the published dose data which one intends to use can be compared with them and corrected accordingly.
TLDs are often used to map the dose distribution in water equivalent medium and the data are fitted using theoretical calculations.
Once accurate dosimetry is obtained, the data are fed to treatment planning computers.

Figure 6 display the data on the dependence of hardness, ultimate tensile strength, and elongation on iron content in aluminum [13].
A reduction in the cooling rate narrows the region of existence of the Al3Fe and Al6Fe phases.
It should be pointed out that at cooling rates < 1 K/s, the Al-2 wt.% Fe alloy has a rough hypereutectic microstructure, although at higher rates, it becomes eutectic or even hypoeutectic, which corresponds to the data given in Figure 3.
Commercial Al-Si casting alloys generally have good hot tearing resistance An reduction in the alloying element content decreases the resistance of Al alloys to hot tearing [36].
Tunnezey, Z Metallkde., Chrystallographic data and chemical compositions of aluminiumrich Al-Fe intermetallic phases, Zeitschrift für Metallkunde. 77(1), (1986) 30-35

For decade’s crude oil and petroleum products, have the largest share in the gross inland energy consumption amongst the 27 European Union member states(Energy Data Edition, 2020).
Electricity generation measurements of the Microbial Fuel Cell The open circuit voltage generation data was measured using digital multimeter and, readings were taken after every hour from 08:00hours for 12hours over a period of 30 days.
Therefore looking at the COD removal efficiency of the clay based MFC1 was 96% and 98% for MFC2.These results show that the clay based microbial fuel cell was superior in removing organic contents from the petroleum wastewater to add emphasis on this [17] conducted a study using the MFC with (type: CMI-7000, Membrane International INC., NJ, USA)as an ion exchange membrane and aeration to induce reduction in the cathode the achieved COD removal efficiency was 95% which is lower than of both duplicate clay based MFCs.
This OCV was higher than the one of my study which was 210mV with a difference of only 25mV.The reason for this difference might be from the pumping of the oxygen they used in the cathode chamber to enhance the oxygen reduction reaction.
References [1] Energy data 2020 edition. 2020

This phenomenon is of particular significance in the context of MG, wherein a reduction of 50 % is evident when the concentration rises from 25 mg/l to 100 mg/l.
The linear PSO model demonstrated superior performance in fitting the adsorption data, as evidenced by the higher regression coefficient (R²) values for both AB and MG compared to other evaluated models.
The Freundlich model yielded the highest regression coefficient for the experimental data in the case of AB biosorption by HS.
In the case of MG, the Temkin model provides the highest regression coefficient to the experimental data set [37].
Some mistakes and misinterpretations in the analysis of thermodynamic adsorption data.

According to the survey carried out during 2010-2011, the gross weight of municipal solid waste generated is approximately 1,634,105 tons per year (unpublished data) [16].
Data are currently not available to estimate the actual annual amount of hazardous waste generated today.
Data are not available in respect to the healthcare waste generation in private hospitals.
Data collection is very essential in any entity such as making policy decisions.
[16] Central Environmental Authority, Survey on Municipal Solid Waste in Sri Lanka, 2010-2011 l2(Unpublished data)

It is now common to see µCT images of scaffolds in the literature, but is not common to see quantitative data on the pore networks obtained from the images.
Many authors rely on percentage porosity data, i.e.
A 2D slice of smoothed (thresholded) reconstructed raw data is shown in Fig. 4a, in which interconnects between the pores (black) between the scaffold walls (light grey) are visible.
Step by step process of the quantification of 3D pore networks from µCT data.
This is not necessarily due to a reduction in pore size, but rather by further condensation of the silica network.