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Among several synthesis techniques, chemical reduction of graphene oxide is one of the most popular methods.
Chemical reduction has some inherent disadvantages.
In our work, the synthesis of reduced graphene oxide (RGO) from green reduction of graphite under microwave heating system.
Diffraction data were collected over the 2θ range from 5 to 40°.
Sheet resistance data of graphite and RGO coated on BOPP film.

The paper aims to provide a theoretical basis for finding practical ways in emissions reduction, taking Xiang Gang as an example.
According to "China National greenhouse gas inventories (1994) ", the data ρ takes 2.277; is the standard consumption of coal energy in industry j, and the unit is million t.
To make it easier, that the utilization of gas, tar, etc. is assumed to be 100% in the process, and carbon emission reductions of gas generating, then = annual generation capacity (MWh) * regional grid emission factor.
According to the data from field research, the major carbon input of Xiang Gang is as follows:the clean coal, 421kg, anthracite,122Kg, and flux, etc14Kg. 1t sintered ore and 0.3t crude are enough for producing pellets corresponds 1t ; 0.95t crude steel can be used to produce pellets corresponds 1t, blast furnace slag 280Kg / t and slag 80Kg / t at the same time.
Meanwhile, as an innovative evaluation method of carbon emissions in the steel industry, it provides reference for the development of State and Government carbon reduction policy guidelines and for other sectors as well.

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

This paper using the way of Support Vector Data Description(SVDD) and considering the tightness between the Membrane Bio-Reactor(MBR) samples, applies the Fuzzy Weighted Twin Support Vector Regression(FTSVR) to the MBR simulation prediction research.
This method considers the different effects on the regression hyperplane of different MBR samples,and effectively eliminates the negative effects due to error even outliers in the process of MBR data measurement.
In order to improve the prediction accuracy,this paper adds fuzzy weights to the TSVR ,and then uses it to the prediction of MBR membrane fouling.The building process is as follows: (1)Make the fooling factorsdimension reduced by PCA as the input vector,as the response vector.Suppose that the training set is denoted by,letdenote input data set,denote output data set
Experimental Results of MBR Simulation Prediction Use TSVR and FTSVR to predict test data from MBR sewage treatment plant,and compare the prediction results.Experiment collected 80 groups of MBR membrane fouling data.Randomly selected 70 groups as training samples,the remained 10 groups as test samples.In the training process, all the quadratic programming problems are solved by the function of Quadprog in matlab function library.
So as to compare the prediction results exactly for MBR flux of the two algorithms,Table 1 gives the comparison of the relative error of the 10 groups of test data.

Fig. 4: Influence of the fluid temperatures on the friction [3] Fig. 5: Sample measured data: the dependence of the friction losses in the temperature of the coolant and lubricating oil (SI engine, rpm = 2000).
(2) Further application was created for the approximation of the measured data, which uses the method of least squares coefficients calculated the selected function.
Fig. 6: Sample measured data: the dependence of the mean friction pressure pmr in the temperature of the coolant water tw (SI engine).
Fig. 7: Sample measured data: the dependence of the mean friction pressure pmr in the temperature of the coolant tw and lubricating oil to (SI engine, rpm = 2000).
Dohmen, in: Friction Reduction - the Engine’s Mechanical Contribution to Saving Fuel, FISITA World Automotive Congress (F2000A165), Seoul (2000) [4] F.

Ag-Au BMNPs formed by the co-reduction of Au(III) and Ag(I) ions in aqueous leaves extract solution where the extract act as both reducing and capping agent.
Bimetallic colloids could be prepared either by simultaneous co-reduction of two kinds of metals to give alloy or successive reduction and deposition one metal over the nuclei of another to have core-shell morphology.
Co-reduction of silver and gold ions forms the Ag-Au BMNPs predominantly, along with few togetherness of both NPs observed in HRTEM images which is due to successive reduction of metal ions.
There is also a strong signal for Cu in the EDX data, which come from Cu TEM grid.
Zhao, Pt skin coated hollow Ag-Pt bimetallic nanoparticles with high catalytic activity for oxygen reduction reaction, J. of Power Sources 36515 (2017) 17-25

In the first six rolling passes, the difference between the equation for calculated force and numerical data makes about 15%.
A sharp increase in rolling force in rolling passes 5 and 7 can be noticed, which is due to the adoption of a scheme for a large reduction in rolling.
The elementary reduction of roll pass 5 was 29% while roll pass 7 made 42%.
Graph of changes in force during rolling (Scheme 2) Summary Based on numerical studies and mathematical calculations of the rolling process as well as considering two different schemes, it can be concluded that: - numerical calculations of rolling force have been performed using Forge 2008®, and therefore do not differ significantly from the results obtained in the calculation of Eq. (2); - no effect of changes in temperature on the value of the total rolling force can be observed; - an increase in reduction rates significantly affects the value of force during rolling; - more uniform distribution of force during rolling was observed in Scheme 2.

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.

The central issue revolves around the limited availability of comprehensive data and insights concerning the use of rLDPE in extrusion moulding.
The tensile test results shows no significant changes, no clear signs indicating molecular size reduction and no indication of enhanced degree of crystallization accompanying molecular size reduction [12].
Meanwhile, the vLDPE75/rLDPE25 blend had the most minimal reduction of the melt viscosity compared to vLDPE100.
Similar findings have been reported by other researchers regarding the reduction of mechanical properties for recycle materials [10, 11, 13, 14].
Based on the obtained results, it appears that the flexural strength data of the polymer blends follow the trend of the tensile strength data, where a higher loading of vLDPE results in a beneficial change in mechanical properties.

Table 1 ISO 15765 Data Frame Structure Address Information Protocol Control Information Data Field N_AI N_PCI N_Data The data frame includes 3 parts.
The third part N_Data is the data area.
FF_DL defines the data length of all the data to be transferred in multi-frame situation.
System will check whether the data is 15765 diagnostic data when the flag sets.
Some key data when SCR systems works can be read in real time by “Data Flow” model.