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BP 32, El Alia, Bab Ezzouar, 16111 Alger, Algeria 3 CRNA, 2, Bd.
Only HF-based solutions were used to prepare SiNWs until recently a new chemical solution containing NH4HF2 was used by Brahiti et al.
This model also remains valid when NH4HF2-based solution is used as was reported by Brahiti et al.
These results are similar to those reported by M-L Zhang et al. [32].
Also,a similar conclusion was proposed by Zhao et al., which indicates that the PL emission of porous silicon is related to the Si-O vibration mode [44].

Based on Kasim et al. (2021), Syzygium aromaticum leaves contain high antioxidants and are abundant in nature so they have great potential as bioreducing agent.
El-Tanani, A.A.
Al-Shmgani, W.H.
Al-Hakimi, H.M.A.
Al-Maydama, G.Y.

Mouritz et al. investigated the post-fire mechanical properties of the fibre-reinforced phenolic composite under the high heat fluxes of 50, 75 and 100 kW m-2 adopting cone calorimeter [6, 8].
Similar to the research of Mouritz et al. [6, 8], fire characteristics of the fibre-reinforced phenolic composite under the low heat fluxes were not noted either.
The elementary analysis of the fibre-reinforced phenolic composite was conducted by an elemental analyzer Vario EL III.
Delichatsios et al. [18] proposed that the relation between the minimum heat flux and the theoretical CHF conformed to: (3) Then the minimum heat flux can be theoretically calculated to be 29.31 kW m-2.
Li et al, The METRO project, final report, Technical Report: SiST 2012:8, Sweden: Mälardalen University Press, 2012

In addition, Calantone et al. [26] used AHP for management decision analysis in the selection of products based on product ideas.
In addition, Ubando et al. (2014) coupled AHP with Monte Carlo simulation to investigate the microalgal cultivation system for biofuel production [31].
Later on, Ubando et al. (2015) expanded this work in applying a stochastic AHP approach in assessing the preferred cultivation technology for varying scenarios [32].
Recently, Ubando et al [33] used AHP in selecting the optimal site for the cultivation system of microalgae in the Philippines.
El-Halwagi, A.B.

The strongest vibration centered at approximately 1000 cm-1, referred to as a major geopolymer fingerprint, is attributed to the asymmetric stretching of Si-O-Si (Al) bridges[7].
The bands at 719 cm-1 and 560 cm-1 are related to the IR characteristics of [AlO]4 tetrahedrons and the bending vibration of Si-O-Al respectively[5].
The strong band at 462 cm-1 is due to the in-plane Si-O-Si (Al) bending vibration[17].
Furthermore, the bending vibration of Si-O-Al at 560 cm-1 disappeared and the in-plane Si-O-Si (Al) bending vibration at 462 cm-1 and the tetrahedral [AlO]4 at 719 cm-1 shift to 470 cm-1 and 692 cm-1.
El-Didamony and M.I.

Material characterization during EDM of cemented tungsten carbide [6], Fe-Mn-Al alloy [7] with varied process settings has been completed.
Kansal el al. [23] conducted a simulation study for predicting the temperature distribution on the workpiece and the resultant MRR in a PMEDM process.
Yadav et al. [17] assumed that 8% of heat is at the workpiece in a normal EDM process.
Kansal et al. [23] varied this factor from 5% to 20%.
Study of the Effect of Machining Parameters on the Machining Characteristics in Electrical Discharge Machining of Fe-Mn-Al Alloy.

Meyers et al. [5] studied several biological materials (e.g. nacre, ligaments, hoofs, blood vessels, beak interiors, chameleon, etc.) using diverse materials approaches.
Prior work by Chenzhao et al [8], Rhee et al [9], Kantesh et al [10], and Magwene, P.
The obtained EB is close to that (7.1 GPa) obtained for Terrapene Carolina (Tc) by Rhee et al [7].
F., Hwang, Y., Lim, H., El Kadiri, H., Trim, W.

Aluminum syntactic foam (Al) of 30 mm thickness is considered as the central core of the panel.
The material properties for aluminum syntactic foam 200 mm (Al) are mentioned in Table 2.
Material properties for aluminum (Al) syntactic foam 200 mm [1].
The effectiveness of Al foam for energy absorption is apparent in all cases.
[22] Bahei-El-Din Y.A., Dvorak G.J., Behavior of sandwich plates reinforced with polyurethane/polyurea interlayers under blast loads, J.

Xu et al. used the method of empirical analysis to analyze willingness of forest farmers about forestland transfer in the following factors: educated level, the level of awareness, family's forestland area, forestry income, satisfaction of forest assets evaluation and so on [5].
Pérez et al. developed a Forest Geographic Information System for Galicia called ‘SIFGa’ through building a database of all the necessary variables in a bid to predict the temporal and spatial future tendencies of forestland [9].
Ahn et al. found that econometric forestland use model was an effective tool to accurately forecast forest area.
Chen et al. analyzed the mainly influencing factors and influence degree of the households, transfer willingness on forestland by the binary logistic regressive model after collective forest tenure reform [23].
[2] LI El-Juhany:Australian Journal of Basic and Applied Sciences Vol.3 (2009),p. 2677-2696

A study conducted by Zhang et al. [14] indicated that increasing the silicone/polyether ratio led to smaller cell size, as it lowered the surface tension of the foaming system.
Baferani et al.,[18] reported that incorporating silicone surfactant into flexible PU foams within the range of 0.5 pphp to 2.5 pphp marginally improved the foam's compressive strength and elastic modulus.
Han et al.,[19] supported this research outcome and found that silicone surfactants with a higher silicone/polymer ratio resulted in smaller cells, leading to decreased thermal conductivity in the PUF samples.
[9] Eling, B., Tomović, Ž., & Schädler, V. (2020).
[14] Zhang, X.D et al. (1999): Role of silicone surfactant in flexible polyurethane foam, in: Journal of Colloid and Interface Science, vol. 215, no. 2, pp. 270–279, [online] doi:10.1006/jcis.1999.6233