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The experimental data show (Table 2) the reduction of Fe(III) concentration almost 10 times after ion exchange.
The results of REE determination by ICP-MS after the ion-exchange separation of Fe(III) show that the systematic error can be excluded by the multiplication of data obtained and correction factor (k) (Table 3).
In parentheses, the crude data for Tm is given.
A great reduction of the concentration of matrix elements in a solution is observed: magnesium – more than two orders, iron – one order.
Amirov, Special aspects of Tb(III) complexation with 4,5-dioxibenzene-1,3-disulphonic acid according to NMR relaxation data, Book of abstracts “Magnetic resonance and its application”, St.

Creep The minimum creep rates were determined by applying a linear least squares regression curve fit to the raw strain versus time data obtained during the creep experiments.
Figure 2 (a) and (b) display typical load jump and temperature jump experimental data.
Creep data obtained directly from experiment for two separate Ti-15Al-33Nb-0.5B samples: (a) data obtained from a load jump experiment at T = 650°C and (b) data obtained from a temperature jump experiment at σ = 250 MPa. 10-9 10-8 10-7 100 1000 Monolithic HT:1005 0.5B HT:1005 5B HT:1005 Minimum Creep Rate, s -1 Stress, MPa n = 2.2 n = 5.5 n = 3.2 n = 2.5 n = 8.7 T = 650°C 0 0.5 1 1.5 2 2.5 3 0 5 10 15 20 25 30 35 40 Monolithic 0.5B 5B Creep Strain, % Time, hrs T = 650°C σσσσ = 275 MPa σσσσ = 250 MPa σσσσ = 275 MPa (a) (b) Figure 3.
This reduction in grain size may be attributed to either the B addition raising the BCC-transus temperature of the alloy, and/or the boride needles pinning grain growth.
The EMP data from the boride phase in the Ti-15Al-33Nb-5B material suggests a phase composition close to B2TiNb.

On the basis of calorimetric data, investigations of microstructure and results of microhardness measurements for samples heated at the constant rate, the following four temperatures were chosen for isothermal experiments: 200, 250, 300, 350 C.
On the basis of the HV(t) data the investigations of microstructure of samples after different annealing time at the temperature of 250 C were conducted.
The HV(t) data at each annealing temperature were approximated by the least squares method assuming the following relationship: HV=a ln t+b. (1) The function (Eq. 1) provides better approximation of experimental data in comparison with a function HV=a exp(b t), that is usually used for evaluation of parameters of the kinetic processes.
The (Eq. 2) was used to analyse changes in the microhardness data ∆HVi at the annealing temperatures Ti (i=1,2,3,4).
The obtained values of the activation energy of relaxation processes occurring in Stages II and III can be compared with various experimental data for copper.

HLS provides an optimal concurrent structure for data flow, balancing the trade-off between latency and resource usage [6] Fig. 1.
The processor manages data traffic between components and helps to compute BANN algorithms on FPGA SoC.
Data traffic control functions involve managing the data flow by reading and sending input data to the coprocessor while simultaneously receiving output data from the processor to send back to the PC, and this ensures smooth communication between the co-processor and the primary system.
The period of the beats has a reduction of approximately 1.59 ns (26.044 - 25.885 ns).
The time we have experienced a reduction of about 1.59 ns (26.044 - 25.885 ns).

The results show a good ability of the model to fit the measured data.
Initially, the modeling approach is based on empirical relationships usually elaborate on experimental data in order to identify any significant correlation between the subsurface outflow and the rainfall depth and duration [10].
In all distributions the modeled data are close to the observed data.
Thetemporal distribution obtained for observed and modeled data is fairly close.
In particular, the results showed that the model over-estimated the initial runoff with respect to observed data.

(iii) The phase noise power spectrum can be calculated from the delta-sigma TDC output data using FFT.
Delay τ in the delta-sigma TDC is set to 200ns, and the number of the delta-sigma TDC data we use is 4096.
b) Phase variation of 50kHz Fig.7 shows the FFT analysis results of the delta-sigma TDC output data with phase noise of 50kHz (in eq.(4), ω1/(2π)=50kHz).
It takes 66ms measurement time to obtain 65,536 TDC output data with 1MHz clock.
Frobenius, RF Measurements for Cellular Phones and Wireless Data Systems, Jon Wiley & Son.

Data was collected through questionnaire in tsunami-impacted coastal communities within the area of Kuala Muda in the state of Kedah, Malaysia.
Data was collected for this study through survey questionnaire, interviews, documents analysis and field observations.
For this paper, the focus is more on the data collected through the questionnaire.
A total of 211 respondents from eight villages devastated by the 26th December 2004 tsunami took part in the data collection exercise.
With reference to the availability of data, this relatively low score may be attributed to the preference of the public in receiving information that is simple and easy to digest as compared to data that is complicated to understand.

Double-direction two-dimensional Maximum Scatter Difference (2D2MSD) based on Maximum Scatter Difference (MSD) was proposed，which overcame the small sample size problem of LDA, and data were more concise.
Column-direction Maximum Scatter Difference and Row-direction Principal Component Analysis (2D2MSDPCA), and Double-direction two-dimensional Maximum Scatter Difference (2D2MSD) based on MSD are used to reduce the data’s dimension. 2D2MSDPCA and 2D2MSD are two effective dimensionality reduction algorithms, which reduce running-time and increase recognition rate.

The experimental data were analyzed using five non-linear isotherm models: Langmuir, Freundlich, Sips, Tempkin and Dubinin – Radushkevich.
Kinetic studies have shown that although the adsorption data partially followed pseudo-first-order and pseudo-second-order equation for different time, it was well expressed by pseudo-second-order model. 1.
In this study, equilibrium data were analyzed using the Langmuir, Freundlich, Sips, Tempkin and Dubinin – Radushkevich isotherms expression (Table 2) and the plot of non-linear form of these isotherms were shown in Fig. 4 Figure 4.
Plots of Langmuir (a); Freundlich (c); Sips (c); Tempkin and Dubinin – Radushkevich (d) models Comparison with the root mean square error (RMSE) and the nonlinear chi-square test (c2) values beetwen Langmuir and Freundlich models, it is clear that the experimental data was fitted better in with Freunlich isotherm which correspond with the heterogeneous surface of g-MnO2 nanomaterial.
However, evaluating the correlation coefficients (R2) showed that the Sips isotherm described the data appropriable than Langmuir and Freundlich isotherms.

We employ a compositional flow model, which has been validated using data from a Subsurface interpretation project in Cameroon.
These data, like H2O, have been rigorously analyzed throughout EoS development, particularly in recent years.
[10] Aminu, N., Meenagh, D. and Minford, P., The role of energy prices in the Great Recession—A two-sector model with unfiltered data.
Journal of Physical and Chemical Reference Data. (2021) 50(3)
Journal of physical and chemical reference data. 25(6) (1996) 1509-1596