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The finer particle size and distribution more diffuse of Al3Zr particles reduced recrystallization during hot rolling and solution heat treatment, improving the tensile properties of the as-aged sample. 1 Introduction Li is the lightest metal in nature, and each 1% (mass fraction) boost of Li content in aluminum alloy contributes to about 3% density reduction and about 5%~6% elastic modulus increase.
The Al-3.55Cu-1.51Li-0.11Zr alloy ingots were hot-rolled at 400 °C to 4 mm in thickness at the same rolling speed and pass reduction.
Therefore, alloy hardness does not appear obvious reduction in a certain period of time.
The strength and elongation data for the alloy after T6 peaked aging is shown in Fig. 3.
Compared with the single stage homogenization, the reduction of the recrystallization effect is more obvious by the smaller size and dispersed Al3Zr particles precipitated by the double-stage homogenization. 3) Due to the Al3Zr pinning grain boundary formed a lot of subgrains, subgrain boundaries provide more second-phase particle nucleation particle.

It is known that the interaction effects between adjacent structures can cause either magnification or reduction of the earthquake energy, based on the specific reflections and refractions of the incoming seismic waves.
In this research, by developing some generic RC frame models supporting on flexible foundations, effects of stiffness and strength of the structure on force reduction factors are evaluated for different relative stiffnesses between the structure and the supporting soil.
The results indicated that the foundation flexibility could significantly change the response reduction factors of the system and neglecting this phenomenon may lead to erroneous conclusions in the prediction of seismic performance of flexibly supported RC.
These mode shapes are used to uncouple the equation of motion, which typically leads to a reduction of the overall solution effort.
The following Table 3 shows the data of node and element from the first floor.

m [kg] c [Ns/m] k1 [N/m] k2 [N/m2] k3 [N/m3] Value 0.078 0.50 2.2 × 103 4.9 × 105 8.1 × 107 To generate the data to identify the Volterra model of the Duffing oscillator, the motion equation was integrated using the Newmark method [12] with the Newton-Raphson procedure.
Case Description 1 Reduction of 0, 2, 4, 6, 8 and 10% in k1 2 Reduction of 0, 2, 4, 6, 8 and 10% in k2 3 Reduction of 0, 2, 4, 6, 8 and 10% in k3 4 ∆ = [0, 1, 2, 3, 4] [mm] With the modified parameters simulating unknown structural conditions, the responses to a chirp excitation from 1 to 200 Hz with amplitude of 0.6 N were obtained through Newmark method.
Fig 5 shows the comparison between the output signals of the unknown state and the predicted by the reference model for a reduction of 10% in k3.

PCA is an abbreviation of Principal component analysis, which is primarily a data dimensionality reduction processing tool for multivariate data.
PCA makes the extract and display the systematic variation in the data is possible.
The PCA model provides a summary of all observations or samples in the data table, then the drug dose-effect curve drawed by PCA score values [3].
Conclusion In this paper, the plasma dataset of DCQD water extract administrated rats was an example, and the data analysis method based on PCA, which was generated to reduce dimension of data, expressed the information of a group with a variable class, found that the differences and trend were more clearly after treatment.
‘Metabonomics: understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data [J].

For this reason, the development of information services industry can be clearly and intuitively learned from these data.
Development status of an industry can be affected by complex external factors which is hard to obtain definitive data.
Which model to choose is always measured by the stability, tendency and periodicity of historical data.
Through data conversion and calculating ACF, PACF repeatedly, we can get the estimation value of parameters.
For government, it can provide data reference and theory support to formulate a rational policy.

These models have been employed to evaluate air quality for different regions and analyze air pollution data.
Regression models have been utilized to analyze air pollution data, showing noteworthy performances [37,38].
The data primarily consisted of good days, with only a few satisfactory days.
Analysis and forecasting of air quality index based on satellite data.
Air quality data (2019 - 2022). https://cpcb.nic.in/

The proposed method firstly seeks the relationship between the Structural Similarity index (SSIM) [2] and match distance in blocks and obtains the data with fine SSIM values.
The reduction of the numbers of matched blocks directly results in bad denoising performance.
The proposed technique is applied in following steps: (1) Seek the relation between match distance and SSIM which is a method for measuring the similarity between two images and outperforms the traditional methods like peak signal-to-noise ratio (PSNR) and mean squared error (MSE). (2) After obtaining data with fine SSIM values in the first step, compute the noise level and gradient in blocks of the same size. (3) Adopt surface fitting to get a formula which applies weak thresholds for flat blocks and strong thresholds for detail blocks.
Buckley, “Fast computation of a discretized thin-plate smoothing spline for image data,” Biometrika, Vol. 81-2, (1994) [6] Information on http://www.biomecardio.com/matlab/evar.html [7] K.

For this, the study uses the method of mathematical modeling, which will allow forecasting the data necessary for the design of MH systems.
The adequacy of the mathematical model is checked by comparing the existing experimental data with the calculated characteristics of the MH.
Calculated data on the decomposition pressure of the b-phase of LaNi5 are compared in Fig. 2 with the data of experiments (signs) on hydrogen desorption, which were carried out in limited temperature intervals.
The pressures on the plateau of the solubility isotherm calculated in the LaNi5–Н2 system are in good agreement with the available experimental data.
Hao, The hydrogen absorption process prediction of AB2 hydrogen storage device based on data-driven approach.

The graph shows a constant trend throughout the data before drastically spiked at the end.
As for the pH, the graph shows an increment towards the end of the experiment, whereas, for the turbidity and colour, the data shows a constant reduction of respective elements towards the end of the experiment.
Fig. 5 PCA for physical and chemical data of groundwater samples for determining optimum dosage.
Few recommendations are to be listed for further research to obtain more accurate data and results.
Furthermore, it is advisable to run the same experiment twice to obtain consistent data and results.

A proposal is made to establish a corresponding database based on simulation and production data.
Due to the adoption of conical mandrel, the pipe can reach up to 25% diameter reduction rate in the cold rolling process. 3.
This is an iterative process, through the accumulation of test data, the relevant simulation – test database can be established.