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However, the main exporting industries are energy and emission intensive, which reveals disadvantage for carbon reduction.
Several studies have been conducted to analyze the relationship between CO2 emission and GDP, FDI and trade, but different conclusions have been made because of different data sources, carbon accounting methods and econometric models [1-3].
Data.
The data of GDP per capita, foreign direct investment and export are adopted or derived from the 1995-2010 China Statistical Yearbooks.
Statistics data showed that 2/3 of the enterprises which has got the certifications of ISO14001 are foreign-invested enterprises and 1/2 of enterprises which has obtained certification of environmental labeling are foreign-invested enterprises.

information pre-ordering Firstly, using the information receiver collect network data.
Continuous data are processed by using the normalization method to organize to reduce the impact of differences in data on the test results. 2）Data simplification In the network data decision-making table, the importance of single attribute is different.
Because some of the information is repeated, it will form a large amount of unrelated data groups, it is necessary to remove irrelevant or useless information data.
In consideration of the basic principles of rough set data reduction operation is based on the importance of data to make coding, if it wants to get more concise information, the steps are as follows: information data must be streamlined.
So, the use of this algorithm can simplify the data. 3）Selection and screening of rules the obtained data attributes setis selected to constitute to a rules set, the use of way is: the single attribute "attribute - value" of single sample data is corresponding to each other in the information network which has make streamline one by one.

Of the available data, half of the cases was used to modify the network weights in the learning process by creating a set of learners.
Spent the rest of the data to evaluate the prediction errors during learning (25% of the data - a set of validation) and to an independent determination of the correctness of the network after it has been created (25% of the data - a set of test).
On the basis of data made regression fit is R2=0.92 and standard error of 28.1.
Due to the serious inaccuracies resulting from regression analysis it was decided to analyze the data using a neural network.
The correctness of the results is highly dependent on the proper preparation of a representative set of experimental data, the use of simplification or even miss some data.

The results of the data from this study will also be useful in the development of several technologies such as composite derived from Spent Coffee Ground (SCG) because the data presented will also involve violence from a type of coffee that is given a variety of heat treatments.
During the production process, moisture content data can be collected and analyzed to help producers create better production plans that will increase yield and economic benefits [23].
In Coffea Arabica sample 4, a decrease in humidity of 0.2% was found so that in this sample the final data of humidity obtained was 0.19%.
Canophera after 1 week sample hardness test results Next is the data on Canephora coffee beans that were treated with storage in an airtight room for 7 days after the roasting process.
The data shows that roasted Canephora beans generally had lower hardness than raw beans after storage.

The intrusion data in fact is textual data.
According to the big categories, the intrusion data could be distinguished as normal data and abnormal data.
Data preprocessor was used to process or transform the large amount of audit data.
In the first step, the training data (known normal audit data and abnormal data) and testing data were converted to digital vectors which SVM classifier could recognize by data convertor.
The training data contained 5’000’000 connecting data, while the testing data contained 200’000 connecting data.

DSC and XRD data denote an increase in the presence of crystalline regions as the AgZrP content is increased.
TGA data indicate that the addition of AgZrP has no effect on the thermal stability of the material.
FTIR data indicate a decrease in transmission at higher AgZrP loading.
The combination was initiated for the reason of sustainability and cost reduction.

When the user presses “Load Data”, a box is shown to insert the desired date of the daily schedule.
After pressing “OK”, the data are retrieved from the database.
When the button “Load Data” is pressed, all of the data related to the extra product will be loaded from the database, as shown in the interface at the bottom of the same figure.
Both of the transactions are recorded by pressing the "Save Data" button in the interface.
The seller must “Save Data”, as shown in the interface of Figure 7 for the next day.

Reduction of Free Fatty Acid in Low Free Fatty Acid of Mixed Crude Palm Oil (LMCPO): Optimization of Esterification Parameters Jarernporn Thawornprasert1,a, Wiriya Duangsuwan2,b and Krit Somnuk1,c* 1Department of Mechanical Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai, Songkhla 90112, Thailand 2Department of Industrial Biotechnology, Faculty of Agro-Industry, Prince of Songkla University, Hat Yai, Songkhla 90112, Thailand athawornprasert.j@gmail.com, bwiriya.d@psu.ac.th, ckrit.s@psu.ac.th Keywords: mixed crude palm oil, esterification, vacuum refining process, free fatty acid.
The optimal condition of various parameters effecting in the FFA reduction from LMCPO was optimized using the solver function in Microsoft Excel.
Babalola: Response Surface Methodology and Artificial Neural Network Analysis of Crude Palm Kernel Oil Biodiesel Production, Chemical Data Collections (2020), p. 100478

Phase analysis, crystallite size and lattice parameter properties of TiO2 were determined based on the data obtained from X-ray diffraction (Bruker’s D8 advance system, Bruker’s AXS, GmbH, Germany) study in which Cu Ka radiation source was used.
For comparison purposes, the data reported in ICDD files for anatase and rutile phases of titania is also presented in this figure.
It can also be seen that the absorption data of all the thin films is fitted very well into the equations of direct band-to-band gap transitions in comparison to those of indirect transitions.
As can be seen from the photocurrent data of Fe-doped TiO2 thin films (with 0, 0.5, 1 and 10 wt.%), the pristine TiO2 generated relatively higher current upon light irradiation when compared to dark.
Summers, Electrochemical reduction of aqueous carbon dioxide to methanol, U.S.

Evaluation of the Rutting Deformation Data of Asphalt Mixtures during Continuous Cycle Testing based on Short-Cycle Wheel Tracking Testing Sigit Pranowo Hadiwardoyo Civil Engineering Department, Universitas Indonesia, Depok 16424, West Java, Indonesia sigit@eng.ui.ac.id Keywords: Rutting behavior, Permanent deformation, Wheel tracking, Asphalt mixtures Abstract.
Another effect of rutting is the reduction in pavement thickness, which increases the occurrence of pavement failure due to fatigue cracking.
On a particular type of machine, the wheel tracking test has limited capabilities, often leading to inadequate data collection for analysis.
The development of a method with the characteristics of short experimental cycles to achieve a long cycle of data was necessary to better analyze these data.
Table 4 The resume of deformation characteristic Material I (pen. 52) II (pen.46) Temperature 45 °C 35 °C 27 °C 27 °C [A] 0.649 0.591 0.494 0.083 [B] -0.803 -0.803 -0.802 -0.661 Using the data in Table 4, a rut depth curve for the load cycle prediction can be generated using the model equations (4), as seen in Fig. 3.