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FT-IR spectra confirmed the formation of cellulose-GMA and XRD data showed a slight decrease in the crystallinity of cellulose after GMA addition from 6.98% to 6.02%, 5.57%, and 5.83% for cellulose-GMA prepared using 15%, 20%, and 25% of GMA, respectively.
The sample weight reduction obtained for cellulose was 70.029%, while grafting cellulose 15, 20 and 25% GMA experienced a weight reduction of 90.347, 94.116 and 91.702% respectively. 20% GMA grafted cellulose has the highest weight loss, so the thermal resistance of cellulose increases.
XRD data shows that GMA grafted cellulose experienced a slight decrease in crystallinity which implies GMA only slightly affects the cellulose structure, although disorientation of the cellulose structure occurs.

Friction coefficient was directly evaluated by the apparatus and data on the wear were obtained by measuring the loss of weight of the samples (parallelepipeds with hemispherical head).
Introduction Wear [1-2] is a major cause of machines performance reduction, so any reduction of this phenomenon is advantageous.
By the obtained data it was carried out a values rearrangement.

Forest coverage prediction based on least squares support vector regression algorithm is presented in the paper.Forest coverage data of Heilongjiang from 1994 to 2005 are used to study the effectiveness of least squares support vector regression algorithm.The prediction results of the proposed least squares support vector regression model by using the training samples with the different dimensional input vector are given in the study.
Introduction Least square support vector regression(LSSVR) is a novel statistical learning method,which has the better generalization ability than artificial neural network[1-3].Forest coverage prediction based on least squares support vector regression algorithm is presented in the paper.Forest coverage data of Heilongjiang from 1994 to 2005 are used to study the effectiveness of least squares support vector regression algorithm.The prediction results of the proposed least squares support vector regression model by using the training samples with the different dimensional input vector are given in the study.
The Lagrange function is introduced to solve the optimization problem, which is as follows: (5) The optimization conditions of the formula are given as: (6) Eliminating and,the regression function of least squares support vector regression can be written as (7) Experimental Analysis for Forest Coverage Prediction Forest coverage data of Heilongjiang from 1994 to 2005 are used to study the effectiveness of least squares support vector regression algorithm.Fig.1~Fig.3 show the prediction results of the proposed least squares support vector regression model by using the training samples with the different dimensional input vector.
Portilla-Figueras,Improving the training time of support vector regression algorithms through novel hyper-parameters search space reductions,Neurocomputing Vol.72 (2009), p.3683-3691

This research forms part of an ongoing development of a data base with which to interpret the impacts of leaching conditions in heaps on microbial activity without having to disrupt metal production by invasive sampling campaigns.
There are comparatively few data on the effects of physico-chemical parameters on acidophiles utilising organic compounds.
This took place ahead of the reduction in reduced material present at pH 5.0, but lagged slightly behind at pH 7.0.
These experimental data indicate that mixotrophic and heterotrophic species can tolerate, or adapt to, pH gradients in heaps when suitable organic substrates are present.

A method of data-transmission based on wireless network is analyzed and a scheme for intelligent fault diagnosis on the basis of Bayesian network is laid out.
At present, the exact inference algorithms are: multi-tree propagation algorithm, group tree propagation algorithm, figure reduction algorithms, combinatorial optimization algorithms.

Static Random-Access Memory consumes the least amount of power, provides the highest performance, and keeps data static.
However, due to data flipping, they had weak write capabilities.
When data "0" is to be written to the storage node instead of "1," which is already stored, then BL is supplied with GND causing a flow of current from the bit line to the node containing the data due to which data gets flipped and vice-versa for storing “0” when “1” is already stored.
This stores the single-bit data.
As a result, unlike a 6T cell, cell data may easily be flipped.

Those temperature and humidity data in the corresponding time with measuring the physical properties of snow were picked out from the meteorological data recorded continuously in weather meter (Fig. 2).
The values of air temperature were just a datum at a given time, while the data of snow density and hardness function was a general indication of the formation and component features of snow.
There was a relatively reduction as to the extent of discreteness of the values of snow depth, pressure, density and hardness with the duration of snow increasing, especially the observed data on the left side (the sunny side) was particularly more concentrated than on the right side.
Nevertheless, the cost of field observation is quite high, and there are many environmental factors influencing the test results, a further accumulation of data and detailed study is necessary to be performed.
Advancing Knowledge Discovery and Data Mining Technologies, edited by Q.

Experimental data indicate that power law relationships exist between da/dt and KI.
The raw data was used to determine the stress, strain, Mode I stress intensity factor, and crack growth rate.
The developed equation was employed in the reduction of experimental data to calculate KI in term of actual instantaneous load and crack length.
This method involved fitting an nth order polynomial to a set of crack length and time data.
However, the scatter of the crack growth rate is probably within the scatter of experimental data.

It has implemented the following facilities: · graphical user interface (GUI) used for introducing the geometrical parameters of the part to be modelled; · automatic checking of wrong data; · form showing to correct erroneous data; · automatic generation of optimized processing paths.
Checks the user data input are made using conditional and loops functions.
After the error detecting, windows warning and correcting data are displayed, shown in Fig.2, using predefined functions [6].
The first standard for exchanging data files was STL, conducted in 1984 by the 3D Systems company [7].
To exchange data it may be used other compliant standards: IGES files, STP, etc.

This was the main motivation of starting a comprehensive study which involved the clinical data of patients who underwent such surgery, analysis of tissues around the implants and also investigation of metallic explants through microscopy techniques.
The aim of open reduction and internal fixation (ORIF) is to reestablish the stability and the articular congruity of the joint.