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Corrosion rates were then estimated from mass losses, and true mass losses were calculated using data that the manufacturer (ERG Aerospace) provided for estimating the total foam surface areas [6].
Consequently, reduction in strut size via corrosion was not expected, either.
Although the corrosion data of high strength electric conduction Fig. 1 Relative density changes of 6101 foams estimated from the mass loss measurements in the pH range of 10 to 13 using aqueous NaOH solutions.
Recently, Sakashita et al. [8] reported such a diameter dependency in corrosion rates for high carbon steel wire in aqueous NaCl solution, and proposed that increase of the corrosion rate by decrease in wire diameter originated in reduction of dissolved oxygen or promotion of a cathodic reaction involving hydrogen ions.

The figure 10 also treated the biodegradation data with Monod equation in the condition of no inhibition, and obtained the non-inhibition fitting straight line.
From the data above, the substrate removal rate constant of 1,1-DCE by strain DB–I is higher than that of strain DB–M, this is consistent with the relationship of specific substrate removal rate of them.
[4] SU Chunming , Plus R W, “Kinetics of trichloroethylene reduction by zerovalent iron and tin: Pretreatment effect, apparent activation energy , and intermediate products”, Environmental Science and Technology, vol. 33, no.1, pp.163, 1999
[23] Irina Kouznetsova, Xiaomin Mao, Clare Robinson, et al., “Biological reduction of chlorinated solvents: Batch-scale geochemical modeling”.

They have been prepared previously by the reduction of InCl3 with alkalides [21] and recently by decomposition of C5H5In in the presence of stabilizers at room temperature [20].
Electron diffraction data (Fig. 1d) show that the core of the 190-Å indium particles consists of the tetragonal phase of solid metal indium.
In0 + P3 (As3) → InProd (InAsrod) + 3e (1) Three electrons are produced in this reaction; they are most likely consumed in the reduction of the oxide layer at the indium surface and also by solvent impurities.
However, XRD data show that InP QRs prepared at room temperature are not crystalline.

The determination of the peak in the XRD diffraction pattern refers to the International Center of Diffraction Data (ICDD) database.
Magnetic properties The results of the VSM data for the four SNF samples in the form of hysterical curves illustrating the relationship between the external magnetic field H and magnetization M at room temperature are depicted in Figure 1.
The reduction of Ms, χ, and μ values ​​are derived from the substitution of Fe3+ ions by Nd3+ ions in SNF composite materials.
The more Nd3+ ions added will lead to a reduction in the value of Ms, χ, and μ.

As shown in Fig. 2, the symmetrical center of the blade is taken as the locating datum of the segment, and for every piece of the saw blades, the thickness is accurately checked and calculated by using sensor and with data processing unit.
The left side of the blade is used as datum for position of the blade.
Such procession-checking is also provided to all the segments before they are put into welding operation to the blades, and the left side of the segment is, too, adopted as the locating datum.
Fish eyes are employed for the reduction of friction of the blade base in the feeding.

The principle for reduction and producing nanoparticles is discussed here.
Data Availability No data were used to support this study.
Material preparation, data collection and analysis were performed by Taku Saiki and Mitsuru Inada.
Du, Laser-Prepared CuZn Alloy Catalyst for Selective Electrochemical Reduction of CO2 to Ethylene, Langmuir 34 (2018) 13544-13549
Cotton, Reduction of cytochrome c by halide-modified, laser- ablated silver colloids, J.

There is a 50% reduction in raw material usage and a significant reduction in machining time when compared to the conventional method.
And if the lack of fit data is not significant, then this proves that the model is a good fit.
Dev. =0.0055 R2 =0.8766 Radj2 =0.7533 C.V. % =5.13 The multiple correlation coefficient Radj2 of the regression model reaches 75.33% according to the analyzed data in Table 5, which demonstrates the high precision of the response model.
The data can be interpreted intuitively to show that the model is highly significant with P < 0.0001, the lack of fit with P> 0.05 is not significant, and the two items with lower significance for the objective function are removed.
The F-value, Radj2 and lack of fit values of the modified response model are somewhat improved, and R2 reaches 87.1% while comparing with the data in Table 5.

The reduction of CO2 emission became a global issue[1,2].
Data 52(3) (2007), 817-832 [21] S.

Previous studies is the use of a centralized way to identify the user activity, all the sensor data are uploaded to the host for unified processing analysis.
Coordinator at the core of the network, network management and data distribution, covering 50% of the router.
Sensor nodes of the body after uploading data to the original data segmentation, the eigenvalues of the segmentation fragments regarded as a piece of characteristic value of ID3 algorithm to classify active slices.
Said a known after attribute reduction of entropy, the greater the information gain illustrate this property to provide the more information for classification, classified more effective.
(6) system, the data security problem in the process of communication When users need to remote to interact with household system need to transmit data through the network, and the data in the network transmission process there are a variety of potentially unsafe factors, so requires increased security mechanism in the process of interaction, the moment to ensure data security and integrity, avoiding the smart home system is invaded, personal privacy was leaked.

Regression analysis of experimental data is carried out to obtain the correlation between cutting parameters and response variables.
Statistical analysis of the experimental data was performed to obtain the constitutive equations for the objective function.
Experiment data for milling of Cast Iron from D.V.V.
SPSS is an efficient tool having a number of important options for the statistical analysis of the data under consideration.
Optimization results of the same data carried out by D.V.V.