# Search Results

###### A model for the operations to render epidemic-free a hog farm infected by the Aujeszky disease

Reference: ∆ = 0, τ = 0 2.244 14.44 C: Δ = 0 2.3667 23.86 H: Δ = 0.001 101.6042 28.15 A: Δ = 0.002 28.324 24.91 F: Δ = 0.003 39.947 25.39 G: Δ = 0.006 70.1768 26.69 simulation ∆ = 0.002 # infected weaned pigs average % infected sows Reference: ∆ = 0, τ = 0 2.244 14.44 I: τ = 0 40.4711 16.70 A: τ = 0.003 28.324 24.91 D: τ = 0.006 21.1276 29.51 E: τ = 0.01 15.5476 32.98 We now analyze the relationship between biohazard values in

###### Investigation of the effect of albedo and oblateness on the circular restricted four variable bodies problem

points in the restricted four body problem with oblateness effects. Astrophys. Space Sci 349, 693-704. 10.1007/s10509-013-1689-6 Kumari R. Kushvah B. S. 2014 Stability regions of equilibrium points in the restricted four body problem with oblateness effects Astrophys. Space Sci 349 693 704 10.1007/s10509-013-1689-6 [24] Lichtenegger, H.,(1984), The dynamics of bodies with variable masses. Celest. Mech 34, 357-368. 10.1007/BF01235814 Lichtenegger H. 1984 The dynamics of bodies with variable masses Celest. Mech 34 357 368 [25] Lukyanov, L. G.,(2009), On the

###### On a model for internal waves in rotating fluids

(p+1)F(s) = sF^{\prime}(s), \end{array}$$ (27) and , therefore , F is homogeneous of degree p +1. Some consequences of this are : The functional K in (25) is homogeneous of degree p +1. (Note that I in (24) is homogeneous of degree two.) There exists C > 0 such that | F ( u ) | ≤ C | u | p + 1 . $$\begin{array}{} \displaystyle |F(u)|\leq C |u|^{p+1}. \end{array}$$ (28) They will be used elsewhere . Note 8 We denote by G = G ( α , β , γ , δ , c s ) the set of solutions of (16) . From the homogeneity of

###### Visibility intervals between two artificial satellites under the action of Earth oblateness

18.3 142.528 149.665 7 8.22 8 755.203 761.74 6 32.22 168.1 181.437 13 20.22 9 801.535 808.742 7 12.42 189.261 196.185 6 55.44 10 848.101 855.526 7 25.5 214.827 228.227 13 24 11 894.462 902.496 8 2.04 235.913 242.757 6 50.64 12 941.03 949.275 8 14.7 261.583 275.027 13 26.64 13 987.413 996.22 8 48.42 282.643 289.308 6 39.9 14 1033.98 1042.99 9 0.6 308.306 321.796 13 29.4 15 1080.38 1089.92 9 32.4 329

###### On the Method of Inverse Mapping for Solutions of Coupled Systems of Nonlinear Differential Equations Arising in Nanofluid Flow, Heat and Mass Transfer

{array}{} \displaystyle \widehat{V} = \left\lbrace \sum_{k=2}^\infty a_ke^{-k\delta\eta}\big| a_k \in \mathbb{R} \right\rbrace . \end{array}$$ (25) Obviously, V = V̂ ∪ V ∗ . Next, define S R = ψ 1 ( η ) , ψ 2 ( η ) , … , $$\begin{array}{} \displaystyle S_R = \left\lbrace \psi_1(\eta), \psi_2(\eta), \ldots \right\rbrace , \end{array}$$ (26) which is an infinite set of base functions that are linearly independent, and set of linear combinations of functions from S R U = ∑ k = 1 ∞ c k ψ k ( η ) | c k ∈ R . $$\begin{array}{} \displaystyle U = \left\lbrace \sum_{k=1