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Based on the measured data of one tunnel excavation project, combining wavelet analysis and AOK time-frequency distribution method, the surface vibration signals in front and rear position of working face are processed into different frequency bands.
The results show that the hollow influence on the frequency characteristics of the surface vibration signals comprehensively, and also provide an analytical basis for anti-vibration and vibration reduction study from the angle of energy.
Because energy can reflect the combined effect of the 3 factors of blasting vibration, with measured data from a town shallow tunnel excavation and using AOK (Adaptive Optimum Kernel) time-frequency distribution as well as wavelet analysis, the effect of hollow on surface blasting vibration signal is studied in this article.
Fig.5 Relative error histogram of signal A/ after reconstruction by different wavelets In this article, the measured data were obtained with the blasting vibration monitor EXP4850.
Firstly, the measured data are analyzed with wavelet transform so that the reconstructed signals of d7 frequency band of measured signals are obtained.

The raw material base of belite cements require less lime than production of common Portland cements and on that ground the implementation of its production would be a positive benefit for ecology in sense of CO2 emission reduction and also in improvement of economy of non-renewable raw material sources.
In addition at reduction of the temperature for more than 100 °C also heat consumption is reduced for 10 to 14 %, which has positive economical and ecological effects due to lower consumption of fuels.
Duda, Cement-data-book, Bauverlag GmbH - Wiesbaden and Berlin, ISBN 3-7625- 0180-7, Berlin, 1976

When rates obtained from many different investigations on RE-doped and undoped Al2O3 forming alloys are compared over a wide temperature range, the data scattered over about two orders of magnitude that showed no apparent effect of RE on scale growth rate [2,[] H.
When data with or without RE addition obtained from the same research group on the same type of alloy are compared [[] P.Y.
It also consequently causes a significant reduction in Cr2O3 growth rate.
However, the reduced contribution of Al outward transport would for that reason causes a slight reduction in the growth rate.
This can be a reduction in interface S concentration and the presence of RE at the interface.

Experimental Results and Discussion From the data presented in table 3, it can be seen how the various heat treatment processes affected the porosity, roughness and mechanical properties of the additively manufactured AISI 316L steel.
This occurs, as reported in many studies [10-15], because of the reduction in the value of the acting residual stresses and the microstructural changes that occur in the volume of the samples because of their heat treatment.
The second reason, as mentioned above, is the reduction of residual stresses due to the gradual disappearance of dislocation clusters in the microstructure of the samples during their heat treatment.
Data presented in figure 5 shows that for the as-build samples and samples after solution annealing in the evaluated XZ direction, their preferred orientation is evident approximately in the <101> and <111> directions.
Our results can be summarized as follows: - The heat treatment resulted in a reduction in porosity, roughness, tensile strength, yield strength and hardness for all heat treatments.

(a) (b) Fig. 3: (a) Total Fe concentration measured by ICP-MS along the height of several mc-Si ingots grown from intentionally Fe-contaminated melt and along one non-contaminated ingot (black diamonds) [6, 9, 44]; (b) number of Fe atoms per precipitate measured by µ-XRF along the 53 and 200 ppmw ingot from [6] (adapted from [15]); each data point represents one precipitate measured.
This lifetime improvement, however, is mainly achieved through the reduction of dissolved metal impurities in the wafer bulk.
However, very recently, a significant reduction of precipitated iron was observed after PDG at higher plateau temperatures up to 1000 0C [21, 46].
Buonassisi, Iron point defect reduction in multicrystalline silicon solar cells, Appl.
Buonassisi, Dislocation density reduction during impurity gettering in multicrystalline silicon, IEEE J.

The data including the carbon trading price, oil price, coal price and gas price, are first calculated and the data clusters are embedded in the Excel Database by year and season.
To countries and industries, greenhouse gas reduction credits and emission rights have become very important assets.
The data analysis and data storage can be easily manipulated with this database.
For comparison purposes, the data set was divided into two parts: the training data and testing data are shown in Table 1.
Case No. of training data No. of test data MAPE（%） MAE RMSE（%） 1 86 18 8.49 0.1910 9.16 2 467 23 13.14 0.1877 11.86 3 429 63 8.81 0.1884 10.46 Figure 1.

Clinical decision-making in health care is even now inspired by data-driven computer forecasts or suggestions.
We investigate the state of the art in relevant subjects such as data point treatment, interpretation, and simulation assessment in the framework of outcome prediction models improved utilizing data as automated health data.
Machine learning is an AI product that identifies shapes in hugeamounts of health data to make estimates for the future.
Cisler, and Michael Cantor developed machine learning classifiers for predicting mortality events in clinical trials by exploiting clinical trials' large data.
No security for user’s data 4 Artificial intelligence in healthcare Artificial intelligence Kun Hsing Yu et al.

The accuracy of the source intensity prediction model is further proved by comparing the predicted data, determined data, and the data obtained in the literature under similar experimental conditions.
The smoth curves in Fig. 1, Fig. 2, and Fig. 3 were the model prediction values, and discrete curve were the measured data in related literature.
The data points with solid square were the measured data in this study and the data points with hollow circular were the measured data from Leclercq and Botteldooren (2010) [12].
Compared with the on-site data, the model can better predict low-frequency noise.
In the high frequency region, the predicted data from the model were slightly lower than the on-site values.

The components are joint using pulsed magnetic fields which apply radial pressures of up to 200 MPa to tubular work pieces causing a symmetric reduction of the diameter with typical strain rates of about 104 sec -1.
Introduction The reduction of weight of motor vehicle body components is commonly reached by introducing lightweight materials in the automotive industry.
Though there is a large scatter of data, several interesting findings are obtained.

Pyranose-2-oxidase of Gloeophyllum catalyzes oxidation of glucose, whereas laccase produced by Rhizopus catalyzes oxygen reduction.
On the other hand, laccase of Rhizopus catalyzes the oxygen reduction.
HPLC data of Fig. 3 indicated that under these conditions, both P2O and laccase yields were maximum.