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Although the experimental data are not shown, the steady-state PL intensity naturally increased with increasing τPL,eff according to the relation given by Eq. 3, where τR,eff is constant for three-dimensional (3D) GaN.
As shown, S of the Si-doped GaN increased with increasing electron density n [Fig. 4(d)], although the data points were limited [31].
As shown by the thick lines in Figs. 6(a) and 6(b), τNR,eff increased with the decrease in S (reduction in the density of negatively charged defects related to VGa) and with the increase in L+ (reduction in gross density of positively-charged, negatively-charged, and neutral point defects).
Although the data are not shown, PL intensity naturally increased with increasing τNR,eff, because τR,eff is basically constant in all GaN films.
The result that the data for AlxGa1-xN aligned on the bottom portions of the τNR,eff-S and τNR,eff-L+ lines of GaN indicates that NRCs in AlGaN and GaN films have similar origins.

The occurrence of corrosion involves two parallel reactions which include (a) an anodic reaction through the oxidation of metals and possibly hydrolytic acidification as well as (b) a cathodic reaction through the reduction of O2 and/or H2O from the environment to form hydroxide ions [23].
The correlation of K in predicting the atmospheric corrosion rate in metal materials can be obtained using the data collected from the test results in the weight loss method.
Therefore, corrosion penetration data are usually fitted to power models which involve logarithmic transformations of time and corrosion penetration as follows: log∆w= logA+nlogt (8) Where, ∆w can be obtained from the graph of weight loss vs time [87].
This method can produce more consistent corrosion rate data [34].
Cano, and D. de la Fuente, Atmospheric corrosion data of weathering steels.

Further, the study shows that a porosity reduction model is used to: check quality of particle-reinforced metal-ceramic FGM and predict changes in porosity reduction in particle dispersion development of FGMs [41, 42].
Five stages are involved in this method: CAD model data generation; CAD model data conversion to Standard Triangulation Language (STL) file; STL slicing into two dimensional cross section profiles; layer by layer deposition of component; and, removal and finishing operations [68, 69].
Beiss, "Structural Mass Production Parts, Landolt-Bornstein: Numerical Data and Functional Relationships in Science and Technology," V.
Group VIII Advanced Materials and Technologies, Materials, Sub-volume A, Powder Metallurgy Data, Ed., ed.

., [12-20]), but the data are accumulated very intensively and therefore a general discussion of the role of interfaces in nanomaterials presented in this survey seems very appropriate.
It is interesting to compare the results calculated using the methods of [31-34] with the available experimental data.
In Fig. 6 the calculated data of [43] are also presented illustrating the effect of junctions on the grain growth, but it should be noted that good agreement of the experimental and theoretical data appears only for 9 h, i.e. for the beginning of the abnormal grain growth.
In this connection the data obtained on the carefully attested copper foils exposed to the corrosion in the solution imitating sea water is of special interest [118].
Zhang, Interface enabled defects reduction in helium ion irradiated Cu/V nanolayers, J.

However, assuming ideal membrane properties, the LCOE dropped to $ 0.0704/kWh, demonstrating significant cost-reduction potential by improving membrane technology.
These mechanisms may provide an additional revenue stream by monetizing reductions in GHG emissions.
This reduction can be attributed to technological advancements and economies of scale, which have improved efficiency and lowered costs overall.
Möller, Bangladesh’s pathways to net-zero transition: Reassessing country’s solar PV potential with high-resolution GIS data, Energy for Sustainable Development 81 (2024) 101511. https://doi.org/10.1016/j.esd.2024.101511
Takeuchi, SWRO-PRO System in “Mega-ton Water System” for Energy Reduction and Low Environmental Impact, Water (Basel) 10 (2018) 48. https://doi.org/10.3390/w10010048

Historical data in Table 2 on wind electricity generation capacity from 1981-2005 in the United States and Worldwide indicate that wind electricity capacity penetration of the electrical power market has reached an average of 0.7%, at the end of 2005 [27, 51].
The data from Table 1 on wind turbine designs and the existence of worldwide competition in wind turbine markets, supports this conclusion.
The installed wind turbine data from 1981-2005 in Table 2 and the learning curve projections to 2050 are consistent with the belief, Section IC, that now at the beginning of the 21 st Century, the wind energy electricity industry is entering the acceleration period, Stage 2, of the industrial technology life cycle illustrated in Figure 3.
The scenarios employed combine 1) conservative normative forecasts of wind turbine system demand (Table 4 and Figure 9) with 2) learning curve projection of wind turbine system cost consistent with historical data on learning rates for wind turbine and photovoltaic installations.
For an estimate of reduction of cost of energy (COE) by learning based on cumulative manufacturing, a value of PR=0.85 has been used reflecting an average rate of learning as a function of forecast demand growth for wind turbine systems.

Data compiled by Samsonov and Vinitskii [7] show that the wetting angle between molten iron and TiC is higher than that obtained when the metal wets VC.
The reduction in the values of both the electrical and thermal conductivities due to the addition of TiC to the copper matrix has been noted to be much less in comparison to most other ceramic reinforcement particles [16,17].
Examination of the thermodynamic data for the formation of TiC and VC indicated that at the beginning of the reaction for the compositions of the reactant mixtures tested in the present study, the activity of carbon in equilibrium with TiC and Ti will be lower than when it is in equilibrium with VC and V at the temperatures experienced during the combustion synthesis reaction.
Table 1 lists microhardness data for some samples that were prepared.
Handbook of Refractory Compounds New York: IFI/Plenum Data Company, 1980. p.393-397. 8.

Furthermore, these results could provide scientific data for establishing an index system for monitoring the health status of Chinese sturgeon.
Data are presented as the mean ± standard deviation for each treatment group.
In contrast, Mock et al. reported that chronic stress resulted in a reduction of LSZ activity in fish [18].
These reports have provided basic data for evaluating the physiological status and health of fish.
In addition, it may be feasible to comprehensively apply these data to establish a daily monitoring system for the species.

Recently, the efficiency of productivity and quality for high speed machining is increasingly important and based on the environmental and health point of view so as the cost reduction.
This proposed model provided reasonable agreement with existing experimental data (Choil et al.,2001).  
Robust design procedures and results Using the data presented in Table 3, the corresponding S/N response table and S/N response graph were derived, as shown in Table 4 and Figure 5, respectively.
The following results were obtained by using previous studies data.
Table 3 The experiment of the results Factors A B C The data of experiments (μm) NO.

It typically involves metering energy consumption and collecting the data upon which basis energy saving opportunities are sought based on analysis of the data to identify and quantify routine energy waste[5].
Controlling and reducing energy consumption is important because it enables reduction in cost of energy[5,6].
For a start up time delay Ts = 330µs , R=TS0.7 CS whereTs= 330 µs,R = R21,Cs =100nF, R=R21=330 × 10-60.7 ×100 × 10-9=4.7 KΩ R22 - R24 = pull down resistors = 1kΩ (chosen), C7 = C8 = 27pf also chosen according to the data sheet of the PIC microcontroller.
R28 in Figure 7 is for brightness intensity control and has a chosen value of 10kΩ according to the data sheet.