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Online since: December 2013
Authors: N. Chauhan
The residence times (Eq. 1) of trapped charges in these traps depends on the ambient temperature, nature of the traps and charge environment and can vary from a few seconds to 108 years [1-3]: (1) where t is the lifetime, s is the frequency factor (and is generally of the order of ~1012 sec-1) [4], Eg is the energy trap depth (Fig. 1b), k is the Boltzmann constant and T is the absolute temperature.
This 4-11 µm grains are mounted on the Aluminum discs by re-suspending the grains in alcohol and putting ~1 ml of this volume with equal volume of alcohol in 1 mm glass vial having Aluminum disc at the bottom.
References [1] G.F.J.
Geochronol. 1 (2006) 109-120
Geochronol. 6 (2011) 468-479
Online since: December 2023
Authors: Srikrishna Bhaskar Rao, K. Venkadeshwaran, Y. Naidu Shivaprasad
Fig 1.
References [1] Padture, N.
Wear, 258(1-4), 194-202
Processes, 3(1), 21-29
Copper surfaces reduce the rate of healthcare-acquired infections in the intensive care unit. infection control and hospital epidemiology, 34(5), 479-486. https://doi.org/10.1086/670207 [68] Hans, M., Támara, J.
Online since: April 2016
Authors: Sefakor Awurama Adabunu, Dickson Keddy Wornyo, Ben Bright Benuwa, Benjamin Ghansah
Figure 1: A swarm of robots collaborate to pass an obstacle.
Thus, setting a =1 yields the standard DPSO.
References [1] C.
Coimbra, 2010, pp. 1-8
Trujillo, "Science metrics on fractional calculus development since 1966," Fractional Calculus and Applied Analysis, vol. 16, pp. 479-500, 2013
Online since: October 2015
Authors: Amin Shavandi, Alaa El-Din A. Bekhit, Zhi Fa Sun, Azam Ali
The load bearing ability of bone is provided by minerals [1].
Fig 1: Schematic drawing of bone, picture adopted from Servier Medical Art (http://www.servier.com/) Table 1.
Property Values Density (g cm3) 3.15 Youngs modulus( GPa) 85-90 Knoop hardness (MPa) 3450 Tensile Strength (MPa/m) 120 Poisson Coefficient 0.3 Thermal Expansion 11 Melting Point (C) 1660 Specific Heat ( Cal g-1 K-1) 0.15 Thermal Conductivity (W cm-1 K-1) 0.01 Fracture Toughness (MPa/m) 1.0 Weibull Modulus 5.0-12.0 Table 4.
References [1] J.E.
Dorozhkin, Calcium orthophosphate coatings, films and layers, Progress in Biomaterials, 1 (2012) 1
Online since: April 2022
Authors: Facundo Atuel Retamal, Viviana Carolina Rougier
Table 1: Strength-porosity model constants.
[76] obtained values of between 1 and 12 GPa for densities between 500 and 1 600 kg/m3.
References [1] C.
Syrkin, "Structure formation control of foam concrete," AIP Conference Proceedings, vol. 1800, no. 1, pp. 1-9, 2017
Gugliandolo, "Compressive and flexural strength of fiber-reinforced foamed concrete: Effect of fiber content, curing conditions and dry density," Construction and building materials, vol. 198, pp. 479-493, 2019
Online since: April 2015
Authors: J. Anuradha, Sami Ullah Ganaie, Shahid Abbas Abbasi, Tasneem Abbasi
Abbasi 1, a, J.
Anuradha 1, b, S.U.
Ganaie 1, c and S.
Table 1.
[479 J.
Online since: April 2021
Authors: Sergiy V. Divinski, Alexander V. Pokoev, François Jomard, Aloke Paul, Daniel Gärtner, Vladimir A. Esin, Julia V. Osinskaya, Cécilie Duhamel, Lisa Belkacemi, Andrey A. Fedotov, Juliana Schell
This comparison substantiates the applicability of the novel approach even to the systems with a large variation of the molar volume with the composition.a) 8 0 8 5 9 0 9 5 1 0 0 1 0 - 1 5 1 0 - 1 4 1 0 - 1 3 1 0 - 1 2 D * , D ( m 2 / s ) 0 G a - 2 4 G a 1 6 G a - 2 4 G a 0 G a - 1 6 G a A t o m i c P e r c e n t o f F e D D * ~ ~ b) 7 5 8 0 8 5 9 0 9 5 1 0 0 1 0 - 1 5 1 0 - 1 4 1 0 - 1 3 1 0 - 1 2 D ( m 2 / s ) a t . % F e D G a ( f r o m i n t r i n s i c d i f f u s i o n ) D F e ( e n d - m e m b e r s ) D~D F e * D G a* ** Fig. 15: Interdiffusion in the Fe-Ga system: a) Fe tracer (D∗) and interdiffusion ( ¯D) coefficients determined from there different Fe-Ga couples (the Ga content in the end-members is indicated). b) Tracer diffusion coefficients of Ga estimated using the Darken-Manning relation (dashed-dotted line), the measured interdiffusion coefficients (dashed line) and the Fe tracer diffusion coefficients (solid line) in comparison
a) 0 . 0 0 . 5 1 . 0 1 . 5 2 . 0 2 . 5 3 . 0 y ( µm ) R e l a t i v e c o n c e n t r a t i o n ( a r b . u n i t s ) y 2 ( 1 0 - 1 1 m 2 ) 1 2 3 4 5 1 2 0 5 K 1 1 7 6 K 1 1 1 5 K b) 7 8 9 1 0 - 1 9 1 0 - 1 8 1 0 - 1 7 1 0 - 1 6 1 0 - 1 5 1 0 - 1 4 T ( K ) D v ( m 2 / s ) T - 1 ( 1 0 - 4 K - 1 ) N i d i f f u s i o n i n N i A l 1 5 0 0 1 4 0 0 1 3 0 0 1 2 0 0 1 1 0 0 Fig. 16: Diffusion investigation using SIMS: (a) penetration profiles measured by SIMS and (b) the Arrhenius diagram for Ni diffusion in binary B2-ordered NiAl after Frank et al. [105].
The value of the diffraction angle θ; the values of θ about 90� improves the detection of small displacements of the diffraction line;a) I n t e n s i t y 2 θ 0 14 1 0 b) 8 9 1 0 1 0 - 1 7 1 0 - 1 6 1 0 - 1 5 1 0 - 1 4 1 0 - 1 3 1 0 - 1 2 T ( K ) D ( m 2 / s ) T - 1 ( 1 0 - 4 K - 1 ) 1 3 0 0 1 2 0 0 1 1 0 0 1 0 0 0 Fig. 24: (a) The X-ray intensity near the Cu Bragg peak for different annealing treatments after [124] (the values of the diffusion distance, √Dvt, are indicated in microns).
References [1] A.
Vol. 479 (2009) pp. 157-160
Online since: March 2008
Authors: Jose A. Sanz-Herrera, J.M. García-Aznar, Manuel Doblaré
Doblaré 1 1 Group of Structural Mechanics and Materials Modelling.
Fig 1.
These models are interested not only in the prediction of the long-term behaviour 0 . 0 0 . 2 0 . 4 0 . 6 0 . 8 1 . 0 1 . 0 1 . 1 1 . 2 1 . 3 1 . 4 1 . 5 ( C H 1 2 + 2 C H 4 4 ) / C H 1 1 F L o s s o f I s o t r o p y of bone under loading, but also in its rate of adaptation and the specific role of bone cells in each stage of the mechanosensation and adaptation processes.
J Biomech, 34(4):471-479, 2001
Vol. 1 (1995).
Online since: June 2015
Authors: Udayan De, Kriti Ranjan Sahu, Abhijit De
Contents 1.
Fig. 1.
Table 1.
Bangladesh, Sci. 37 (2011) 479-501
R 89 (2015) 1–48
Online since: July 2014
Authors: Kakon Nag, Toshihiro Akaike, Naznin Sultana, Nobuhiro Nakamura, Shigehisa Hirose, Koichi Kutsuzawa
Introduction Congenital heart diseases (CHD) are collectively one of the major causes of morbidity in newborn with a prevalence of 1% among the total live births [1].
Fig. 1.
References [1] G.
J 397 (2006) 1-14
Sedmera, The effect of connexin40 deficiency on ventricular conduction system function during development, Cardiovasc Res 95 (2012) 469-479
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