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Paiva 1,a, Anissa El Gaied 2,b, R.
This effect is evidenced in the cumulative distribution of the fragment lengths, as suggested by Zafeiropoulos et al. [3].

Encapsulation Efficiency Measurement Encapsulation efficiency measurement was conducted following the method developed by Ramana et al. [19].
Similar findings were reported by Baranauskaite et al. [23], who found that zeta potential values higher than ±30 mV are indicative of stable dispersion.
El-Gamil, H.H.
El-Hendawy, Screening and enhancement of the antimicrobial activity of some plant oils using liposomes as nanoscale carrier, Bull Natl Res Cent.45(2021 )1-4
Abedin, A.L.

Application of Differential Evolution Algorithm in Transmission Expansion Planning Ibrahim Al hamrouni1,a, Azhar B khairuddin2,b , M.Salem3,c 1,2Faculty of Electrical Engineering-Universiti Teknologi Malaysia-Skudai, Johor Bahru- Malaysia amaibrahim2@live.utm.my ,bazhar@fke.utm.my, cmoha_so_2009@yahoo.com Keywords：Transmission expansion planning, Meta-heuristics, Differential evolution algorithm applications, Optimization.
Romero et al. [3] presented and analyzed heuristic algorithms for the transportation model in static and multistage TEP.
A differential evolution based method for power system planning problem has been presented by Dong et al. [9].
Sum-Im et al [10] employed the differential evolution algorithm (DEA) as an optimizing tool for the transmission expansion planning.
[12] Silva E.L., Gil H.A., Areiza J.M.: ‘Transmission network expansion planning under an improved genetic algorithm’, IEEE Trans.

Al disks were coated by harder Ni particles, while a Zr-Ti powder blend was deposited onto Cu targets.
The gradual decrease of the fcc Al-peaks refers to the development of a more uniform coating layer.
It should be noted that the Al-peaks decrease during the first 20 min of milling, while sharper Al-peaks re-appear after 30 min.
When Al disks are coated by harder Ni particles, intermetallic phases develop by a solid state reaction.
Dave and E.L.

Xue et al [5] reported the change in acid red soil enzyme activities of tea garden, However, little is known about the change in soil enzyme acitivities of other soils within tea garden with time.
This was consistent with Xue et al[5] which showed the 50-year-old tea orchard red soil had a comparatively higher invertase activity compared to the 8- and 90-year-old tea orchard red soil.
This was consistent with Pettit et al[12]and Rodríguez-Loinaz et al[13].
Rodríguez-Loinaz et al[13]also found that urease activity was positively correlated with organic matter content.
[11] E.L.

Kulkarni, Louisiana State U. et al.: SPE 95976 [2] Jinli Zhang, Chuanjie Wu et al.: Fuel, Vol. 83 (2004), p. 315 [3] M. del Carmen Garcia, L.
Urbina et al.: Petroleum Science and Technology, Vol. 16 (1998), p. 1001 [5] L.T.
Boger: AIChE Journal, Vol. 37 (1991), p. 871 [6] I.M El-Gamal: Colloids and Surfaces A: Physicochemical and Engineering Aspects, Vol. 135 (1998), p. 283 [7] D.
Sarmah et al.: Fuel, Vol. 77 (1998), p. 1163 [8] A.J.
Roberts: Journal of Crystal Growth, Vol. 198/199 (1999), p. 830 [9] Holder, G.A. and Winkler, J.: Journal of the Institute of Petroleum, Vol. 51 (1965), p. 228 [10] Hans Petter Roenningsen, Brit Bjoerndal et al.: Energy & Fuels, Vol. 5 (1991), p. 895 [11] Baudilio Coto, Carmen Martos et al.: Fuel, Vol. 87 (2008), p. 2090

El-Sherbiny, et al: Pigment and Resin Technology.
Pai, et al.
Bacauskiene, et al.
[4] Wu Jimei, XuZonglei, Chen Yunchun, et al.
[7] Bai Wenhua, Bao Nengsheng, Xu Peng, et al.

The orthotropic yield criterion CPB06 was developed by Cazacu et al. [8].
The elasto-viscoplastic behavior of this bulk alloy has been previously characterized by Tuninetti and Habraken [10] and Tuninetti et al. [7].
As underlined in Tuninetti et al. [7], the FE prediction with CPB06 is quite sensitiveto its identification methodology.
The data set used here (CPB06 identification 4 in Tuninetti et al
El Houdaigui, A.

The tensile properties are summarized in Table 1 namely, 0.2% yield stress (YS), ultimate tensile stress (UTS), elongation (EL) and reduction of area (RA).
T (ºC) YS (MPa) UTS (MPa) EL (%) RA (%) 500 521 638 30 73.6 Figure 1 - Micrograph of Ti-6Al-4V alloy as-received.

Kumar, D. shurtleff, et al, Framework for a self-healing power grid, Proceedings of IEEE Power Engineering Society General Meeting.
[7] H.M.Al-Hamadi, S.A.Soliman, Fuzzy short-term electric load forecasting using Kalman filter, IEE Generation, Transmission and Distribution, Vol.153, No.2, March 2006, 217-227
[8] M.A.Abu-El-Magd, and R.D.Findlay, A new approach using artificial neural network and time series models for short term load forecasting, CCGEI 2003.