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The thickness of HTL, EML, ETL, LiF and Al were 30, 30, 30, 0.5 and 200 nm.
Passivation film Al:LiF Alq3 AND:DSA NPB ITO Substrate CCM Figure 1.
J-V-L characteristics (a) and Normalize EL spectra (b) of devices.
Especially, a white EL emission spectrum of White OLED with three peaks at 460,504,596nm was clearly observed.
The blue peak originated from the EL emission, whereas the green and red peaks were from the PL emission of CCM.

References [1] E.L.
Lambert: Advances in Space Research Vol. 19 (1997), p. 369 [3] P.P Bernhard, E.L.
Hyde, et al: Int.
Flury, et al: Advances in Space Research Vol. 33 (2004), p. 1507 [7] H.
Zhang, et al: Int.

Optical, photoluminescence (PL) and electroluminescence (EL) properties were investigated with respect to blend systems.
Chang, et al.
Liu, et al.
Wu, et al.
Hung, et al.

KIII (1050 el.)
KII (1660 el.)
KIII (1660 el.)
KI (1050 el.)
KI (1660 el.)

In 2001, Freund et al. analyzed the behavior of boost by majority and designed an robust boost algorithm that is called as BrownBoost[7].
In the experiments, we compare four margin loss based feature selection using FWL-L1 method, including exponential loss(EL), least squares loss(LSL), logistic loss(LL) and brownboost loss(BBL).
Table 2: SVM-RBF Classification Accuracy using FWL-L1 in Raw Dataset Dataset EL LSL LL BBL Hepatitis 88.2 88.2 87.5 88.2 Horse 91.6 92.1 91.3 92.9 Iono 95.0 94.3 94.6 95.2 Lung-cancer 86.7 86.7 86.7 90.0 Lymphography 84.5 84.5 84.5 86.6 Sonar 88.0 88.4 88.5 88.9 Soybean 93.6 94.4 93.6 94.5 Wdbc 97.6 97.6 98.1 97.9 Wine 98.9 99.4 98.9 98.9 Wpbc 81.4 80.9 80.9 81.4 Ave. 90.6 90.7 90.5 91.5 Table 3: Number of selected feature for SVM-RBF using FWL-L1 in Raw Dataset Dataset EL LSL LL BBL Hepatitis 13 11 14 11 Horse 5 6 12 5 Iono 28 27 31 29 Lung-cancer 56 2 56 12 Lymphography 11 13 11 15 Sonar 34 46 32 43 Soybean 27 24 27 23 Wdbc 15 14 30 23 Wine 10 7 10 6 Wpbc 33 33 33 33 Ave. 23.2 18.3 25.6 20 In order to test the robustness of different algorithms, we compare the classification accuracy on datasets with 5% and 10% noises.
In Table 4, through , we can find that EL, LSL and LL is very closer to about classification robustness, but BBL using FWL-GD show good classification robustness because it is higher at least 0.7% than the others about classification accuracy thought .
For the SVM-RBF classifier, EL, LSL and LL methods using FWL-L1 regularization show no significant differences to classification robustness and classification accuracy in raw data, but BBL based feature selection show the better classification performance than the others.

Phase Formation of Novel Al-Mg-Zn-Cu-Si Lightweight High Entropy Alloy Godson Nyaforkpa1, a*, Mohamed Emam2, b, Mohamed A.H.
Gepreel1, c 1Materials Science and Engineering Department, Egypt-Japan University of Science and Technology, New Borg El-Arab City 21934, Alexandria, Egypt. 2Energy Resources Engineering Department, Egypt-Japan University of Science and Technology, New Borg El-Arab City 21934, Alexandria, Egypt.
The Mg-Al-Zn phase has many diffraction peaks, this means it presents different grain orientations.
Region 1 is the ordered Mg2Si phase, the ordered Mg-Al-Zn phase represents region 2, region 3 is Al based fcc solid solution phase, and eutectic structures which represents region 4.
Lu et al., “Promising properties and future trend of eutectic high entropy alloys,” Scr.

Whereas, Parthasarathy et al. [10] fabricated porous Ti6Al4V structures via EBM to investigate its mechanical performance.
Also, Feng et al. [13] investigated the mechanical performance of octahedral structures under quasi-static loading conditions.
Advanced Engineering Materials 2018;20; DOI: 10.1002/adem.201700648 [6] Gao C, Wang C, Jin H, Wang Z, Li Z, Shi C, et al.
PLOS ONE 2015;10:11; DOI: 10.1371/journal.pone.0127293 [18] Fouda N, Eltlhawy B, El-Midany T.
Bio-Medical Materials and Engineering 2004; 14:14; ISSN: 09592989 [22] Eldesouky I, Harrysson O, Marcellin-Little DJ, West H, El-Hofy H.

Furthermore, electrical properties of ITO/Sn-doped-MgPc/Al devices such as carrier mobility and carrier concentration were extracted from current-voltage and capacitance-voltage measurements.
(a) Optical absorption spectra of undoped MgPc and Sn-doped MgPc thin films (b) Current-Voltage (I-V) characteristics of ITO/MgPc/Al and ITO/Sn-doped MgPc/Al devices The dark I-V Characteristics of MgPc and Sn-doped MgPc devices are shown in Fig. 2(b).
El-Nahass, A.A.
El-Sayed, E.F.M.
El-Zaidai, Electrical transport mechanisms and photovoltaic characterization of MgPc/p-silicon hybrid organic-inorganic solar cells, Curr.

Jianming Lan et al.[11] have reported that the average value of absorption cross section in Yb:YVO4 crystal is 1.5×10-20 cm2, and the maximun value(5% Yb-doped Yb:YVO4 crystal ) on 985 nm is 2.92×10-20 cm2 while the maximun value on 985 nm is 1.45×10-20 cm2.
Mullica, E.L.
Mullica, E.L.
Mullica, E.L.
Vol. 29(6) (1993), p. 1457 [10] GiesenA, HugelH, VossA, et al: APPI.Phs.B.

El-Naggar2,b, Mervat A.
El-Gayar, H.
El-Naggar, M.
El-Shazly, S.
Al-Dahhan, W.