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However, a more careful analysis of the published data shows that in Czochralski silicon no vacancy trapping occurs at the void formation stage (around 1100 o C).
Judging by Li drift data [8], the radius of the V-region (the position of the V/I boundary) is not changed by nitrogen doping.
From data on the nitrogen-induced shrinking of the A/B-band, it is possible to estimate the initially incorporated concentration of VN1 [14, 15], and the resulting number is about 10% of the total nitrogen concentration, both by FZ and CZ data.
Another piece of data [18], however, clearly shows that a downward shift in Tv - which is an inevitable manifestation of vacancy trapping - does not actually occur.
However a more careful analysis of the published data shows that the reaction of vacancy trapping by N1 does not operate at all, either in CZ or in FZ crystals.

Predicted near-field flow statistics and far-field SPL are both in good agreement with the corresponding experimental data.
Comparing with the solutions from Andersson et al. [1], our HILES predictions are in good agreement with the experimental data, especially at the locations .
Comparing with the experimental data, the locations of the peaks in and profiles are well predicted by present calculations.
Encouraging agreements between the SPL from present computational data and experimental data [1] can be observed.
Furthermore, predicted sound pressure levels are in excellent agreement with the experimental data.

The use of ID3 Algorithm for data mining to sort student achievement data,and analyse the result,sum up the factors that influence students as well as arrive at other conclusion [1].It can can provide valuable information to teachers and students.Therefore , using data mining technology in computer courses,is one of the main way to upgrade teaching methods.
Sorting and achievement correlative sorting research Data mining is a technology that can collect useful information or knowledge from the accumulated data.
Data mining technology can be divided into the following: clustering, association rules, classification, etc.
Algorithm：Generate_decision_tree from the given training data.
Let S be a set consisting of s data samples.

-Thermodynamic data The evaluation of the solid fraction can be performed by the use of the phase diagrams, for alloys that liquefy and solidify only under equilibrium conditions.
Based on this data, the modification of A356 chemical composition, by the addition of Cu, from 1 wt% up to 10 wt%, allows to increase the thixoformability of the A356 aluminium alloy.
Additionally, the data obtained using a mathematical model is in good agreement with the data achieved by calorimetric analysis (curve 319s SPSC heating).
Theories and influence of the liquid-solid fraction on the slurry behaviour have been discussed based on data available in the recent and past literature.
The SSM processing model and its use has been introduced some years ago, but still now, there is a serious need for additional and more detailed rheological data.

Data were acquired over a Mach number ranging from 0.8 to 0.92.
The sampling rate adopted for the pressure data acquisition was 200 samples /sec.
Post-processing procedures Acquired data were analyzed in time and frequency domains to characterize the pressure fluctuations around expansion corner in transonic condition.
The experimental data on spectra presented in Figure 4.
Acquired data were analyzed in time and fre-quency domains.

Common engineering construction accident of bored pile Hole collapse and diameter reduction.
Hole collapse and diameter reduction of cast-in situ bored pile was the two opposite faces on the surface, in fact, the causes were basically the same.
According to depth of geological data, combined with a comprehensive field sampling to determine，for non-rock type bearing, identify is more easily.
For the pile bearing stratum is intense weathering rock or medium weathering rock, more difficult to determine the rock interface, can use the method based on depth of geological data, combined with drilling rig stress, jitter of initiative drill and the sample in orifice to determine comprehensive, if necessary, take the in-situ core to verify.
In the 2#-A pile construction, geological data show that no cavities and holes at the pile position.

The upper and lower bounds of response variables are important because they determine the range of values that response variables can take, and they can be used to identify outliers or unusual observations in data [11] [12].
The results of condition optimization using Response Surface Methodology (RSM), widely applied for data optimization, involve a mathematical and statistical model.
This study investigates the reduction in CaSO4 scale mass in response to the addition of ATMP inhibitor concentration, temperature, and stirring speed.
This finding is consistent with previous [28], which reported similar reductions in scale formation when using phosphonate-based inhibitors.
Nurcahyadi, “Analisis Regresi Pada Data Outlier Dengan Menggunakan Least Trimmed Square (LTS) Dan Mm-Estimasi,” 2010

The monthly averaged daily solar radiation data were collected and are presented in Fig. 2.
The data indicate high solar radiation levels during the clear days of January.
Data were recorded in real-time using a Comet MSD6 data logger, which captured solar irradiance, controller input voltage and current, as well as pump input voltage and current.
The data reveals a clear decline in both power output and efficiency as the head increases, highlighting the pump's diminishing performance at elevated heads.
[31] NASA Prediction of Worldwide Energy Resources (POWER) | Data Access Viewer, https://power.larc.nasa.gov/data-access-viewer/ [32] M.

The author presents the original methodology for the optimisation of structures forming vision systems intended for the reduction of components and costs associated with their implementation in physical structures, designed for use in production lines.
Automatic systems ensure greater repeatability of production and lead to the reduction of costs.
At each of the above stages, a defined set of data necessary for the determination of the values of the required input parameters is introduced.
The process of detecting defects in a complex structure of a vision system Based on the results of deduction providing data on the range and angle of light emission against the surface of the object inspected, as well as the types of the cameras, lenses and illuminators, a vision system for the detection of a group of surface defects is configured.
Based on the obtained data, it was stated that the reduction of the number of components included in the complex structure of the vision system is possible without the effectiveness being negatively influenced.

We can use difference n times to obtain difference result data, and the mean value can be taken as decision criteria.
The derivation of Eq.5 is (6) If n times derivation is solved continuously, we can obtain (7) In the similarly way (8) Here suppose that the mean of original signal is zero, actually in theory, the mean of the measured data similar to vibration signal should be zero.
In practical data processing work, there will be better result of trend fitting if noise reduction is pre-processed.
Random Data: Analysis and Measurement Procedures [M].