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Alloy specimens were initially aged at 525°C, cold-rolled to a 25% reduction and then re-aged at 425°C.
The dislocation density in each specimen was estimated by the Warren–Aberbach method based on the Williamson–Hall plots using the conventional X-ray diffraction data for {111}, {200}, {220}, and {311} reflections.
Thus, f was calculated by applying the electrical resistivities measured before aging at 525°C and after aging at 525°C and 425°C to experimental data for the dependence of the electrical resistivity on Ni, Co and Si concentrations in Cu given in Ref. [10].
Also shown are data previously obtained by Watanabe and Monzen [15]. where k is a coarsening parameter given by Ardell [14].
In Fig. 5, data previously obtained by Watanabe and Monzen [15] using the same method are also shown.

Radial forging of tubes without mandrel and hollow-axle has been simulated and the results showed a good agreement with the published experimental data[3,4].
Roll-forging for the round sectional billet was completed in the first pass, and the effect of the reduction on the width-extension and elongation is shown in Fig.4(a).
It is seen that the width-extension nearly linearly increases, and the elongation slowly increases with the increase of the reduction.
Roll-forging for the oval sectional billet was completed in the second pass, and the effect of the reduction on the width-extension and elongation is shown in Fig.4(b).The width-extension slowly increases with the increase of the reduction, and it suddenly increases when the reduction comes up to 10.5 mm;.The elongation slowly increases with the increase of the reduction, and it suddenly increases when the reduction comes up to 8.7 mm;.
In the first pass, the width-extension nearly linearly increases, and the elongation slowly increases with the increase of the reduction; In the second pass, at the beginning, the elongation and the width-extension slowly increase, and then suddenly increase with the increase of the reduction.

On the other hand, the emission analysis for biochar production is concentrated on the slow pyrolysis phase. 2.2.2 Investigated System, Model Assumptions, and Data Sources The collection of secondary data was carried out by accumulating some data from previous research on Palm Oil Plantations, the milling process, and the pyrolysis process.
Furthermore, secondary data about the amount of material used and the energy consumption for the process is obtained from the journal [12].
Then, emission factor data was collected from each energy and component used in the LCA analysis that can emit GHG emissions.
In this study, the land area used for the plantation process is 0.263 Ha, thus the amount of NPK fertilizer will be consumed with the following data: for scenario 1 - 27.615 kg N; 18.41 kg P; 53,652 kg K.
, Our World in Data (2024). https://ourworldindata.org/ghg-emissions-by-sector (accessed September 18, 2024)

Results and Discussion Weight loss analysis The evaluation of the weight loss data presented in Table 1 shows that specimen S1 has a slightly different weight loss profile than the other specimens, starting the trial at 0.0480 g in the first 24 hours.
The data presented in Table 2 showed specimen S1 having a steady increase in weight loss with respect to time.
Table 3 shows the weight loss data of the samples in 3.5 % NaCl/0.00625 M H2SO4 and indicates that specimen S1 shows a somewhat different weight loss characteristic than other specimens starting the experiment at a value of 0.0480 g in the first 24 h. this value increased 24 h later to 0.0640 g, but reduced to 0.0610 g at 72 h.
The data presented in Table 5 showed the various corrosion rates of the specimens in 0.00625M H2SO4 solution.
The data presented in Table 6 showed the various corrosion rates of the specimens in NaCl/H2SO4 solution with respect to exposure time (h).

To examine the impact of different input data assumptions on the results of energy certificates, sensitivity analysis was performed.
Specifically, the project had the following objectives: (i) Identifying sources of uncertainty in the calculation and issuing process of energy certificates; (ii) Analyzing the impact of different input data uncertainties onto Key Performance Indicators (KPIs); (iii) Derivation of comprehensive input data documentation to mitigate the impact of non-well documented input data for energy certificates.
Table 1: Categorization of uncertainties of input data for building energy certificates (first published in [1]).
Both groups got the same input data documentation of 16 buildings and were asked to issue energy certificates.
To furtherly be able to clearly understand the relation between input data uncertainties and impact on the corresponding output data, different alternative approaches seem promising.

A base case model is developed from the production data of an actual oil field to simulate the performance of the actual well without gas lift system.
However, injecting too much gas could possibly result in reduction of production rate (Blann and Williams, 1984).
Once the well system model has been tuned to the real field data, different scenario can be modeled to make further predictions of well performance.
Well test data was utilized to develop a base model with the inflow and outflow performance curve matched with the well performance.
With further increment of gas injection rate, a small reduction of oil rate was observed.

However, that increase coincided with reduction of absorption in medium frequency range and reduction in the absorption peak.
Fig. 1: Date palm amplexiaul Fig. 2: Plastic molds and date palm fiber samples Experimental Measurement in Impedance Tube.The experiment was conducted using two of 28 mm and 100 mm diameters, noise generator, two channel data acquisition system 01 dB, two ¼ in microphones type GRAS-40BP in each tube, software package SCS8100.
Data acquisition system Noise generator Impedance tubes Fig. 3: Sound absorption experimental set up Results and Discussion The variation of sound absorption coefficient against frequency for date palm fiber sample at normal incidence as measured by the impedance tube is shown in Fig.4.It can be observed that the values of absorption coefficient are smallat low frequencies, rising with increasing frequency but exhibiting asignificant peak.
The percentage reduction of the absorption peak for the three air gap thicknesses is shown in Table 1.
However, that increase coincided with reduction of absorption in medium frequency range and reduction in the absorption peak.

The lack of experimental data on triple point diffusion limits a critical evaluation of this possibility.
The lack of data on triple junction mobility in polycrystals limits the critical application of such an approach in nanocrystals.
Figure 4a shows some creep data in nano-Ni in terms of the variation in strain rate with stress.
Figure 4b provides creep data on a fine grained 3 mol% yttria stabilized tetragonal zirconia tested over a wide range of conditions [42,43].
The available creep data for metals with grain sizes >20 nm involves high stress exponents, and this may be related to dislocation activity.

What is the difference among different environmental tax for greenhouse gas emission reduction?
Table 1 Research directions and hot issues Research Directions Hot Issues Impact Analysis of Environmental Policies on the Economy and Social System 1) How to achieve the emission reduction targets. 2) Social cost of achieve emission reduction targets. 3) Emission reduction policies lead to carbon leakage. 4) Cross-border effects of environmental policy. 5) Emission reduction effect of different environmental policy, etc.
Energy Prices, Energy Consumption Structure 1) The impact of changes in energy prices on economy and society. 2) The impact of changes in energy prices on energy conservation and emission reduction, etc.
With the development of statistical datum’s precision and integrity at the regional and industry level, middle level analysis will provide a vast arena for CGE model.
The Economic Impact of Water Taxes: A Computable General Equilibrium Analysis with an International Data Set[J].

In the meantime, there have been fewer studies on sediment-reduction mechanism on the earth road.
As a result, it would show that the sediment-reduction mechanism of herbaceous plants on the earth road thus laying down a foundation for setting up sediment-reduction models for plant-growing road.
The experimental parameters Hydrodynamic characters of runoff in the different surface sections of the earth roads with the different coverage degrees C(%) Fr Re ε/cm f n (×10-2) 0 2.46 74.16 0.16 0.38 1.91 30 2.05 65.39 0.14 0.52 2.24 40 1.72 64.96 0.12 0.74 2.71 50 1.65 58.13 0.11 0.79 2.79 60 1.55 53.65 0.10 0.91 2.99 70 1.33 51.99 0.09 1.22 3.51 Data Processing.
It can be seen from Table 4 that compared with the sediment reductions on the bare earth road there were remarkable sediment reductions as high as 76% on the plant-growing roads, which is very similar to the research results obtained by Grace (2000).
It follows that planted on earth-road surface, herbaceous plants are capable of water and soil conservation but the sediment reductions were remarkably higher than runoff reductions on the plant-growing roads.