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Since then, Sanders et al [3] and Zhang et al [4] have also presented data on weld microstructures, microhardness and tensile properties.
The load data was monitored by a load cell built into the load frame.
The axial strain data was monitored by a clip on extensometer, which was removed at the onset of yielding to prevent damage.
This data shows that there is a slight hardness increase from the as welded condition to the 760 and 815 C heat treated welds.
For each da/dN curve, the Paris law (Eqn. 1) constants, C and m, were calculated by performing a curve fit of the data in the linear region of the crack growth curves.

Nevertheless, some limitations are also existed in this method: It is difficult to parameterize for some complex geometry shape of the object; Particularly, There exists some difficulties in conditioning well point data and simulation convergence judgment with iterative algorithm when large number of well point data conclude in the object.
It is critical to put the multiple-point data template (Fig1-a) into use to scan the training image (Fig1-b) and build search tree before modeling.
The data event is used to scan the training image for inferring the probability of the given data event.
When using data event exhibited in Fig1-a scan the training image displayed in Fig1-b, we can receive four replicates.
Fig.1 Sketch map of data event and training image a data event: It is a data event composing of five point made up of center point u and four data values along with their geometry configuration in which two (u2 and u4)are inter-channels and two (u1 and u3) for channels; b training image: It represents the horizontal distribution of channels(yellow color) and inter-channels(blue color). four circles inside the picture signify four possible replicates acquired through scanning the training image with data event.

It is feasible to effectively assess process operations and simply detect faults from observing the data.
It is difficult to describe the real change among data.
Fault detection based on DPCA PCA is a linear dimensionality reduction technique, optimal in terms of capturing the variability of the data.
This method of applying PCA to the augmented data matrix is referred to as dynamic PCA (DPCA).
[2] B.Moore, Principal component analysis in linear systems: Controllability, observability, and model reduction.

Recently, we developed a novel and simple gas-induced-reduction (GIR) method to synthesize chalcogenide nanostructures [16].
All the XRD peaks can be indexed to the standard data of Bi0.5Sb1.5Te3 (JCPDS card, 449-1713), indicating that pure Bi0.5Sb1.5Te3 powders were prepared.
Compared with the reported data for Bi0.5Sb1.5Te3 bulk materials in literature, the present sample shows low electrical conductivity.
For the oxide phase, Bi4TeO8, as we have not found any related data in literature and we are not sure about its details including its size and existing status in the material, its effect on the transport properties needs to be further studied.
Novel Gas-Induced-Reduction Route to Chalcogenide Nanostructures Taking Sb2Se3 as an Example.

Creating comfortable wind environment is an important method to achieve the energy saving and emission reduction in campus.
The reduction of greenhouse gases emission should not only rely on the government but need the integrated endeavor from different social levels, among which the campus are supposed to take more responsibility for energy saving and emission reduction.
The site plan directly guides the design of all buildings and engineering facilities in campus, and it is the practical sessions which presents the low-carbon construction as well as energy saving and emission reduction in campus [6].
The site plan contributes to creating comfortable wind environment, decreasing the tropical island effect in summer and increasing the heat preservation in winter, which can realize energy saving and emission reduction.
(In Chinese) [10] Meteorological Reference Room of Meteorological Information Center in China, College of Construction Technology and Science in Tsinghua University, Special Meteorological Data Set of Chinese Building Thermal Environment Analysis.

It provides reliable input data for the design of turbines.
Calculation data.
Calculation data of the pressure transient are presented in Fig. 3 - 4.
Calculation data of the impulse efficiency.
Conclusions The results of calculated and experimental data indicate the following: 1.

By addressing the challenges of defect clustering and providing data-driven solutions, this study contributes to the advancement of more reliable and efficient inspection technologies for the evolving demands of the semiconductor industry. 1.
The reduction of laser spot size enables the identification of smaller point defects, enhancing the chance of cluster identification.
It is crucial to note that a reduction in cluster quantity does not necessarily signify an improvement in wafer surface condition.
Piao, Improved wafer map defect pattern classification using automatic data augmentation based lightweight encoder network in contrastive learning, Journal of Intelligent Manufacturing, (2024), 1 – 13
Alzaibaq, A systemic comparison between using augmented data and synthetic data as means of enhancing wafermap defect classification, Computers in Industry, (2023), 145, 103809

IR spectroscopy data showed the presence of zirconium dioxide-characteristic peaks on the IR spectrum.
Confirmation of this claim is given in this article and is based on data from IR spectroscopy, raster electron microscopy and electron microprobe analysis (EMPA).
From the presented data (Figure 1 (a) it can be seen that after drying at 120 °C oxalic acid is not completely removed, but remains on the obtained agglomerates, as evidenced by the intensive peaks of oxygen and carbon on the spectrum characteristic of carboxyl groups.
From the given data, it can be concluded that the size and shape of the obtained agglomerates are not differ significantly from each other.
It can be seen from the presented data that it is not possible to isolate explicit reflexes in the obtained spectrum, which indicates an extremely low degree of crystallinity of the substance.

The result show that: surfaces processed by the way that the inner (aluminum cylinder) and the outer (metal mesh ring) shielding components were coated with a semi-conductive material, made little sense to improve the withstand voltage level and reduce the partial discharge; surface processed by the way that inner shield component (aluminum cylinder) was coated with semi-conductive material, the outer shield component (metal mesh ring) was not coated with semi-conductive material, was obviously influenced the improvement of the withstand voltage level and reduction of the partial discharge, compared with traditional technology, the average start voltage of corona increased 23.8%, the average value of partial discharge dropped 27.7%.
Integrated test data, for the withstand voltage level of samples, with and without semi-conductive layer lead to some differences, sample C increased 23.8% compared with sample A, and sample B increased 3.0% compared with sample A.
For partial discharge of samples, it can be seen from the above that surfaces processed by the way that the inner (aluminum cylinder) and the outer (metal mesh ring) shielding components were coated with a semi-conductive material, made little sense to improve the withstand voltage level and reduce the partial discharge, because that the outer shield using the metal mesh ring, which cannot ensure the uniformity and adhesion of semi-conductive material; surfaces processed by the way that inner shield component (aluminum cylinder) was coated with semi-conductive material, the outer shield component (metal mesh ring) was not coated with semi-conductive material, was obviously influenced the improvement of the withstand voltage level and reduction of the partial discharge, the average value of corona partial discharge dropped 27.7%, compared with traditional technology.
The results show that: surfaces processed by the way that the inner (aluminum cylinder) and the outer (metal mesh ring) shielding components were coated with a semi-conductive material, made little sense to improve the withstand voltage level and reduce the partial discharge; surfaces processed by the way that inner shield component (aluminum cylinder) was coated with semi-conductive material, the outer shield component (metal mesh ring) was not coated with semi-conductive material, was obviously influenced the improvement of the withstand voltage level and reduction of the partial discharge, the average corona start voltage increased 23.8%, the average value of corona partial discharge dropped 27.7%, compared with traditional technology.

Silicon nitride - silicon carbide nanocomposite has been prepared by an in-situ method that utilizes formation of SiC nanograins by C+ SiO2 carbothermal reduction during the sintering process.
SiC nanograins were formed by the crabothermal reduction of SiO2 by carbon black during hot-pressing.
Analyses of the diffraction patterns were performed by comparison with the data listed in the library of the reference spectra of the Joint Committee on Powder Diffraction Standards.
Lifetime of the cutting insert machined from the C/SiO2 derived nanocomposite C2B. 1350 °C 5.6 5.8 6.0 6.2 6.4 6.6 6.8 7.0 1E-10 1E-9 1E-8 1E-7 creep rate, [s-1 ] 104 /T, [K-1 ] Conclusions SiC/Si3N4 nanocomposite processed by an inexpensive in-situ method utilizing carbothermal reduction of C+ SiO2 during sintering exhibits almost defect free, very fine microstructures with inter- and intra- granulary located SiC nanoparticles.