Research article

Mathematical modeling of the dynamics of maize streak virus disease (MSVD)

  • Received: 04 July 2022 Revised: 15 October 2022 Accepted: 16 November 2022 Published: 16 December 2022
  • In this paper, a deterministic ordinary differential equations model for the transmission dynamics of maize streak virus disease (MSVD) in maize plants is proposed and analyzed qualitatively. Using the next generation matrix approach, the basic reproduction number, R0 with respect to the MSVD free equilibrium is found to be 4.70655. The conditions for local stability of the disease-free equilibrium and endemic equilibrium points were established. From the results, the disease-free equilibrium point was found to be unstable whenever R0>1 and the endemic equilibrium point was found to be locally asymptotically stable whenever R0>1. The sensitivity indices of various parameters with respect to the MSVD eradication or spreading were determined. It was found that b,β1,β11, and β2 are the parameters that are directly related to R0, and H2,μ,μ1 and γ are inversely related to R0. Numerical simulation was performed and displayed graphically to justify the analytical results.

    Citation: Abdul-Fatawu O. Ayembillah, Baba Seidu, C. S. Bornaa. Mathematical modeling of the dynamics of maize streak virus disease (MSVD)[J]. Mathematical Modelling and Control, 2022, 2(4): 153-164. doi: 10.3934/mmc.2022016

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  • In this paper, a deterministic ordinary differential equations model for the transmission dynamics of maize streak virus disease (MSVD) in maize plants is proposed and analyzed qualitatively. Using the next generation matrix approach, the basic reproduction number, R0 with respect to the MSVD free equilibrium is found to be 4.70655. The conditions for local stability of the disease-free equilibrium and endemic equilibrium points were established. From the results, the disease-free equilibrium point was found to be unstable whenever R0>1 and the endemic equilibrium point was found to be locally asymptotically stable whenever R0>1. The sensitivity indices of various parameters with respect to the MSVD eradication or spreading were determined. It was found that b,β1,β11, and β2 are the parameters that are directly related to R0, and H2,μ,μ1 and γ are inversely related to R0. Numerical simulation was performed and displayed graphically to justify the analytical results.



    In the last two decades years, applied mathematics and physics nonlinear phenomena play an important role in soliton theory, the calculation of analytical and numerical solutions, especially the travelling wave solutions of nonlinear equations in mathematical physics [1]. Thus, deeper investigation of the analytical solutions to the nonlinear evolution equations with the help of newly developed and improved approaches have been considered as one of the important study area in nonlinear sciences such as engineering, chemistry, biology, dynamics, plasma physics, electrodynamics, applied physics and others. In this regard, many powerful models with high nonlinearity such as the nonlinear (3+1)-dimensional B-type Kadomtsev-Petviashvili-Boussinesq equation [2], modified α and modified Vakhnenko-Parkes equations [3], the perturbed nonlinear Schrödinger equation [4], Davey-Stewartson equation [5], KDV equation [6], the Calogero-Bogoyavlenskii-Schiff and KPH equations [7] some conformable nonlinear model [8], the Hirota Maccari system [9], Bogoyavlenskii equation [10], conformable space-time fractional Fokas-Lenells equation [11], the (2+1)-dimensional Boussinesq equation with fourth order [12], the (3+1) dimensional conformable fractional Zakharov-Kuznetsov equation with power law nonlinearity [13], the conformable Ablowitz-Kaup-Newell-Segur equation [14], nonlinear Phi-4 equation [15] and many others [16,17,18,19,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75] have been suggested to investigate deeper physical properties such as complex, dark, bright and soliton solutions.

    In the organization of this paper, in section 2, the brief description of considered methods such as sine-Gordon Expansion method (SGEM) and improved Bernoulli sub-equation method (IBSEFM) are given. In section 3, these projected methods are successfully applied to the nonlinear conformable Date-Jimbo-Kashiwara-Miwa equation (CDJKM) defined as [20]

    uxxxxy+4uxxyux+2uxxxuy+6uxyuxxαuyyy2βx(x(θutθ))=0, (1)

    where α and β are non-zero and u=u(x,y,t) is the wave-amplitude function, which describes long water waves. In case of θ=1, Eq (1) turns DJKM equation. DJKM equation was firstly presented by Kadomtsev and Petviashvili so as to study the stability of the KdV soliton [21]. Later, some important properties of DJKM have been investigated in [22,23,24,25]. In 2020, Wazwaz have observed the Painlevé integrability and multiple soliton solutions by getting variable coefficient in [26].

    Some important discussions and physical meanings of figures are also presented in section 4. After the graphical simulations, a conclusion completes the paper in section 5.

    We will give general structure of the SGEM in this section. Let's consider the sine-Gordon equation given by [28];

    uxxutt=η2sin(u), (2)

    where u=u(x,t), η is a real constant. Using the wave transform

    u=u(x,t)=U(ξ),ξ=xct

    into Eq (2), we find the corresponding ordinary differential equation (ODE) as following,

    U=η2(1c2)sin(U), (3)

    where U=U(ξ). If we integrate Eq (3), we obtain

    [(U2)]2=η21c2sin2(U2)+κ, (4)

    where κ is the integration constant. Substituting κ=0,w(ξ)=U2 and b2=η21c2 in Eq (4), gives

    w=bsin(w), (5)

    Setting b=1 in Eq (5), gives

    w=sin(w). (6)

    Solving Eq (6) via separation of variables, we obtain

    sin(w(ξ))=sech(ξ), (7)
    cos(w(ξ))=tanh(ξ). (8)

    Suppose that the nonlinear fractional differential equations given in the more general form;

    P(u,ux,uθt,u2,)=0, (9)

    where and θ(0,1] is the order of the conformable derivative. By using wave transformation given as

    u=u(x,t)=U(ξ),ξ=kxcθtθ,

    we find the following nonlinear ordinary differential equation (NODE)

    N(U,U,U,U2,)=0,

    where U=U(ξ),U=dUdξ,. To obtain the solutions of this equation, we suppose the following equation as trial solution

    U(ξ)=ni=1tanhi1(ξ)[Bisech(ξ)+Aitanh(ξ)]+A0. (10)
    U(w)=ni=1cosi1(w)[Bisin(w)+Aicos(w)]+A0. (11)

    Applying the homogeneous balance principle between the highest power nonlinear term and highest derivative in the nonlinear ordinary differential equation (NODE), we determine the value of n. Putting Eq (11) and its consecutive derivatives into the NODE, we obtain a polynomial equation with sini(w)cosj(w). Using some trigonometric properties to the polynomial equation, it is obtained an algebraic equation system by equating to zero the same power summation of coefficients. With aid of the computation programme, we solve the equation system to obtain the Ai,Bi,c,k values. Substituting the Ai,Bi,c,k values into Eq (10), we get the new travelling wave solutions to the Eq (9).

    In this subsection of the paper, we will mention about general structures of the IBSEFM [29,30].

    Step 1: Suppose that the following fractional differential equation,

    P(u,Dαtu,ux,ut,uxt,)=0, (12)

    where u=u(x,t) and α(0,1] is the order of the conformable. The wave transformation is

    u=u(x,t)=U(ζ),ζ=σxμtαα, (13)

    where σ,μ are real constants and can be determined later. This transformation reduces Eq (12) into NODE as following;

    N(U,U,U,U,)=0. (14)

    Step 2: Let consider the trial solution form of Eq (14) as following

    U(ζ)=ni=0aiFi(ζ)mj=0biFj(ζ)=a0+a1F(ζ)+a2F2(ζ)++anFn(ζ)b0+b1F(ζ)+b2F2(ζ)++bmFm(ζ). (15)

    We can determine the general form of Bernoulli differential equation for F according to Bernoulli theory as

    F=bF+dFM,b0,d0, MR{0,1,2}, (16)

    where F=F(ζ) is Bernoulli differential polynomial function. Eq (16) put into Eq (14), it gives polynomial equation Ω(F) which depends on F as the following equality.

    Ω(F)=ρsFs++ρ1F+ρ0=0. (17)

    We put account the homogeneous balance principle to determine the relation between n,m and M constants.

    Step 3: Equating all the coefficients of Ω(F) yields an algebraic equation system;

    ρi=0,i=0,,s.

    Once we have solved this system, we can determine the values of a0,a1,...,an and b0,b1,...,bm.

    Step 4: We have two situations depend on b and d according to solution of Eq (16).

    F(ζ)=[db+εeb(M1)ζ]11M,bd, (18)
    F(ζ)=[(ε1)+(ε+1)tanh(b(1M)ζ/b(1M)ζ22)1tanh(b(1M)ζ/b(1M)ζ22)]11M,b=d,ϵR (19)

    We get the analytical solutions to Eq (14) via software program by using complete discrimination system for polynomial of F(ζ).

    In this section of the paper, we apply SGEM to the Eq (1) to investigate some analytical solutions such as exponential and complex.

    First of all, we transform Eq (1) into a NODE by the following wave transformation

    u=u(x,y,t)=U(ξ),ξ=kx+myλtθθ, (20)

    where k,m,c are non-zero, θ is conformable derivative order. Putting Eq (20) into Eq (1) and after some simple calculating, we reach the following NODE

    k4mV+3k3mV2(αm32k2λβ)V=0, (21)

    where V=U, and also both integral constants are zero.

    With the help of balance principle for Eq (10), we find n=2. For this value, Eq (10) can be written as

    V(w)=B1sin(w)+A1cos(w)+B2cos(w)sin(w)+A2cos2(w)+A0 (22)

    and its second derivation

    V(w)=2A1cos(w)sin2(w)4A2cos2(w)sin2(w)+2A2sin4(w)+B1cos2(w)sin(w)B1sin3(w)+B2cos3(w)sin(w)5B2cos(w)sin3(w). (23)

    Putting Eq (22) and its second derivation into Eq (21), we find a trigonometric algebraic equation. When we take all coefficients of trigonometric functions as zero, we obtain a system of coefficients. Via some computational programs, we reach the some of coefficients as follows:

    Case 1: (Figures 1 and 2) When A0=A2,A1=B1=B2=0,k=A22,λ=m(4m2α+A42)2βA22, gives the solution in the form,

    F(ζ)=[(ε1)+(ε+1)tanh(b(1M)ζ/b(1M)ζ22)1tanh(b(1M)ζ/b(1M)ζ22)]11M,b=d, (24)
    Figure 1.  The 3D and contour surfaces of Eq (24) for m=1,α=0.2,β=2,θ=0.9,y=0.2,A2=1,25<x<25,0<t<1.
    Figure 2.  The 2D graph of Eq (24) for m=1,α=0.2,β=2,θ=0.9,y=0.2,A2=1,t=10,25<x<25.

    where A2,m,α,β are real constants with non zero.

    Case 2. (Figures 3-5) If A1=0,A2=3A02,B1=0,B2=3iA02,k=3A02,β=16m3α+81mA4072λA20, produces

    u2=32iA0sech(myλθtθ+3A02x)12A0(myλθtθ+3A02x)+32A0tanh(myλθtθ+3A02x), (25)
    Figure 3.  The 3D surfaces of Eq (25) for m=1,θ=0.9,A0=1,y=0.2,λ=1.3.
    Figure 4.  The Contour graph of Eq (25) for m=1,θ=0.9,y=0.2,A0=1,λ=1.3,125<x<125.
    Figure 5.  The 2D surfaces of Eq (25) for m=1,θ=0.9,y=0.2,A2=1,λ=1.3,t=0.1125<x<125.

    where A0,m,λ are real constants with non zero.

    Case 3. (Figures 6-8) Selecting as A0=iB2,A1=B1=0,A2=iB2,β=m(m2α+B42)2λB22,k=iB2, gives

    u3(x,y,t)=B2sech(myλθtθ+iB2x)+iB2tanh(myλθtθ+iB2x), (26)
    Figure 6.  The 3D surfaces of Eq (26) for m=1,θ=0.9,y=0.2,B2=5,λ=5,25<x<25,1<t<1.
    Figure 7.  The contour surfaces of Eq (26) for m=1,θ=0.9,y=0.2,B2=5,λ=5,25<x<25,1<t<1.
    Figure 8.  The 2D surfaces of Eq (26) for m=1,θ=0.9,y=0.2,B2=5,λ=5,t=0.1,25<x<25.

    where B2,m,λ are real constants and non zero.

    Case 4. (Figures 9-11) Choosing A0=iB22,A1=B1=0,A2=iB2,k=iB2,α=2βB22+mB42m3, gives

    u4(x,y,t)=B2sech(myλθtθ+iB2x)13iB2(myλθtθ+iB2x)+iB2tanh(myλθtθ+iB2x), (27)
    Figure 9.  The 3D surfaces of Eq (27) for m=1,λ=5,θ=0.9,y=0.2,B2=1,25<x<25,1<t<1.
    Figure 10.  The contour surfaces of Eq (27) for m=1,λ=5,θ=0.9,y=0.2,B2=1,25<x<25,1<t<1.
    Figure 11.  The 2D surfaces of Eq (27) for m=1,λ=5,θ=0.9,y=0.2,B2=1,t=0.1,25<x<25.

    where B2,m,λ are real constants and non zero.

    Case 5. (Figures 12-14) When we select another coefficients for obtaining analytical solution as following, A0=k,A1=B1=0,A2=k,B2=ik,β=k4m+αm32k2λ, gives

    u5(x,y,t)=iksech(kx+myλθtθ)+ktanh(kx+myλθtθ), (28)
    Figure 12.  The 3D surfaces of Eq (28) for m=λ=1,θ=0.9,y=0.2,k=1,25<x<25,1<t<1.
    Figure 13.  The contour surfaces of Eq (28) for m=λ=1,θ=0.9,y=0.2,k=1,25<x<25,1<t<1.
    Figure 14.  The 2D surfaces of Eq (28) for m=λ=1,θ=0.9,y=0.2,k=1,25<x<25,1<t<1.

    in which k,m,λ, are real constants and non zero.

    Case 6. (Figures 15-17) Once A0=A2,A1=B1=0,B2=iA2,k=A2,λ=αm3mA422βA22, it is formed as

    u6=iA2sech(myxA2(m3αmA42)2βθA22tθ)A2tanh(myxA2(m3αmA42)2βθA22tθ), (29)
    Figure 15.  The 3D surfaces of Eq (29) for m=1,λ=θ=0.9,y=0.2,α=1,A2=0.1,β=5,95<x<15,1<t<1.
    Figure 16.  The contour graphs of Eq (29) for m=1,λ=θ=0.9,y=0.2,α=1,A2=0.1,β=5,95<x<15,1<t<1.
    Figure 17.  The 2D surfaces of Eq (29) for m=1,λ=θ=0.9,y=0.2,α=1,A2=0.1,β=5,t=0.2,95<x<15.

    in which k,m,λ, are real constants and non zero.

    This section applies IBSEFM to the governing model Eq (1) for obtaining some new complex analytical solutions. Let's consider the following wave transformation into Eq (1)

    u=u(x,y,t)=U(ξ),ξ=kx+myλtθθ, (30)

    being k,m,c are non-zero, θ is conformable derivative. Putting Eq (30) into Eq (1) and after some simple calculations, we find

    k4mV+3k3mV2(αm32k2λβ)V=0, (31)

    where V=U, and also both integral constants are zero. With the aid of homogeneous balance principle between V and V2, we get relationship for n,m and M according to IBSEFM properties

    2M+m=n+2. (32)

    Using this relationship, we can find many new complex solutions for governing model as following cases.

    Case 1: When we take M=3,m=1 and n=5, then we can obtain follows,

    V=a0+a1F+a2F2+a3F3+a4F4+a5F5b0+b1F=ΥΨ, (33)
    V=ΥΨΥΨΨ2, (34)
    V=ΥΨΥΨΨ2(ΥΨ)Ψ22Υ(Ψ)2ΨΨ4, (35)

    where F=wF+dF3,a50,b10. If we put Eqs (33, 35) into Eq (31), we get a system of algebraic equations of F. Solving these models yields different coefficients as follows

    Case 1.1. (Figures 18-20) For bd, we select follows

    a1=2,m=i,b0=i,k=1,a0=16id2a5,b1=a58d2,a3=23a5,a4=8id2,w=23da5,a2=16i3d2a5,λ=i(48d2αa5)2βa5.
    Figure 18.  The 3D surfaces of Eq (36) for d=3,a5=20,y=0.1,β=2,α=θ=0.9,ε=1,1<x<1,0<t<1.
    Figure 19.  The contour graphs of Eq (36) for d=3,a5=20,y=0.1,β=2,α=θ=0.9,ε=1,1<x<1,0<t<1.
    Figure 20.  The 2D surfaces of Eq (36) for d=3,a5=20,y=0.1,β=2,α=θ=0.9,ε=1,1<x<1,0<t<1.

    These coefficients presents following solution for governing model

    u7(x,y,t)=16d2a5(x+iyi(48d2αa5)2θβa5tθ+63a5ε2+3εa5ef(x,y,t)12dε2da5e2f(x,y,t)), (36)

    where f(x,y,t)=4d3a5(x+iyi(48d2αa5)2βθa5tθ).

    Case 1.2. (Figures 21-23) Taking as bd, and selecting follows

    a1=2,m=i,b0=i,k=1,a0=13(iα+2βλ),a2=13a5(iα2βλ),a3=23a5,a4=16(iα+2βλ)a5,b1=6α2iβλ,w=12α2iβλ,d=α2iβλ43a5,
    Figure 21.  The 3D surfaces of Eq (37) for β=2,α=θ=0.9,λ=3,a5=42,y=0.1,ε=1,3<x<3,0<t<0.3.
    Figure 22.  The contour graphs of Eq (37) for β=2,α=θ=0.9,λ=3,a5=42,y=0.1,ε=1,3<x<3,0<t<0.3.
    Figure 23.  The 2D surfaces of Eq (37) for β=2,α=θ=0.9,λ=3,a5=42,y=0.1,ε=1,3<x<3,0<t<0.3.

    finds

    u8(x,y,t)=(α+2iβλ)(13(x+iyλθtθ)+4ε(6ε+3a5eα2iβλ(x+iyλθtθ).)α2iβλ(12ε2+a5e2α2iβλ(x+iyλθtθ))), (37)

    where α,β,λ,ε are real constants and non-zero.

    Case 1.3. (Figures 24-26) Gaining as bd, and selecting follows

    a1=2,m=i,b0=i,k=1,a0=2ib1,a2=1b16a4(1i),a3=(1i)6a4b1,a5=ia4b1,d=(14i4)a4,λ=i(6+αb1)2βb1,w=i2b13,
    Figure 24.  The 3D surfaces of Eq (38) for b1=2,α=θ=0.9,β=3,a4=42,y=0.1,ε=1,13<x<13,0<t<0.3.
    Figure 25.  The contour graphs of Eq (38) for b1=2,α=θ=0.9,β=3,a4=42,y=0.1,ε=1,13<x<13,0<t<0.3.
    Figure 26.  The 2D surfaces of Eq (38) for b1=2,α=θ=0.9,β=3,a4=42,y=0.1,ε=1,13<x<13,0<t<03.

    gives the following complex solution to the governing model

    u9(x,y,t)=(α+2iβλ)(13(x+iyλθtθ)+4ε(6ε+3a5eα2iβλ(x+iyλθtθ))α2iβλ(12ε2+a5e2α2iβλ(x+iyλθtθ))), (38)

    where α,β,λ,ε are real constants and non-zero.

    Case 1.4. (Figures 27-29) With bd, considering into account as

    a1=2,m=i,b0=i,k=1,a0=2ib1,a2=1ib16a4,a3=(1+i)6a4b1,a5=ia4b1,d=(14i4)a4,λ=i(6+αb1)2βb1,w=i2b13,
    Figure 27.  The 3D surfaces of Eq (39) for b1=2,α=θ=0.9,β=3,a4=42,y=0.1,ε=1,13<x<13,0<t<0.3.
    Figure 28.  The contour graphs of Eq (39) for b1=2,α=θ=0.9,β=3,a4=42,y=0.1,ε=1,13<x<13,0<t<0.3.
    Figure 29.  The 2D surfaces of Eq (39) for b1=2,α=θ=0.9,β=3,a4=42,y=0.1,ε=1,13<x<13,0<t<0.3.

    gives the following complex solution to the governing model

    u10(x,y,t)=12b1(16(x+iy+i(6+αb1)2βθb1tθ)+(1+i)ε((66i)εb1+6a4b1ef(x,y,t))6(12iε2+a4b1e2f(x,y,t))), (39)

    where f(x,y,t)=i6b1(x+iy+i(6+αb1)2βθb1tθ) and b1,α,β,θ,ε,a4 are real constants and non-zero.

    Case 1.5. (Figures 30-32) When we consider as

    a0=i,m=2,b0=2,k=i,a1=ib12,a2=4id6,a3=2idb16,a4=16id2,a5=8id2b1,w=322,λ=3+8α2β,
    Figure 30.  The 3D surfaces of Eq (40) for y=0.1,α=θ=0.9,β=2,ε=1,d=0.5,13<x<13,1<t<1.
    Figure 31.  The contour graphs of Eq (40) for y=0.1,α=θ=0.9,β=2,ε=1,d=0.5,13<x<13,1<t<1.
    Figure 32.  The 2D surfaces of Eq (40) for y=0.1,α=θ=0.9,β=2,ε=1,d=0.5,13<x<13,1<t<1.

    we gain

    u11(x,y,t)=3i2(13(ix+2y+(3+8α)2βθtθ)8d2d6+3εe32(ix2y(3+8α)2βθtθ)), (40)

    where α,β,d,ε are real constants and non-zero.

    Case 1.6. (Figures 33-35) When we consider as

    a0=i,m=2,b0=2,k=i,a1=ib12,a2=4id6,a3=2idb16,a4=16id2,a5=8id2b1,w=322,λ=3+8α2β,
    Figure 33.  The 3D surfaces of Eq (41) for y=0.1,α=θ=0.9,β=2,ε=1,d=0.5,13<x<13,1<t<1.
    Figure 34.  The contour graphs of Eq (41) for y=0.1,α=θ=0.9,β=2,ε=1,d=0.5,13<x<13,1<t<1.
    Figure 35.  The 2D surfaces of Eq (41) for y=0.1,α=θ=0.9,β=2,ε=1,d=0.5,13<x<13,1<t<1.

    we gain

    u12(x,y,t)=3i2(13(ix2y(3+8α)2βθtθ)26ε3ε+2d6e32(ix2y(3+8α)2βθtθ)), (41)

    where α,β,d,ε are real constants and non-zero.

    This paper finds entirely new complex analytical solutions for governing model with the help of two powerful approaches such as SGEM and IBSEFM. These solutions have some more important physical features. The hyperbolic secant (bright soliton) arises in the profile of a laminar jet, the hyperbolic tangent (dark soliton) arises in the calculation of magnetic moment, the hyperbolic sine (periodic wave solution) arises in the gravitational potential, and the hyperbolic cotangent (singular soliton) arises in the Langevin function for magnetic polarization [76]. In this sense, Eq (24) is a dark soliton solution. Eqs (25-29) are used to explain the combined dark-bright soliton solutions. It is estimated that these solutions may be related to such physical meanings. When we compare these solutions in [21], one can see that these solutions entirely new complex dark, mixed dark-bright and dark soliton solutions to the governing model.

    In IBSEFM, if we consider more values of M=3,m=2 as n=6, we obtain another new solution for the governing model as

    V=a0+a1F+a2F2+a3F3+a4F4+a5F5+a6F6b0+b1F+b2F2=ΥΨ,
    V=ΥΨΥΨΨ2,
    V=ΥΨΥΨΨ2(ΥΨ)Ψ22Υ(Ψ)2ΨΨ4,

    where F=wF+dF3,a60,b20. In this regards, this projected technique is a powerful tool for obtaining new analytical solutions for the nonlinear models.

    This paper studies on the nonlinear Date-Jimbo-Kashiwara-Miwa equation with conformable which defines to explain wave propagation. By using SGEM and IBSEFM, we reach the some new dark, bright, singular solitons and complex wave solutions. All the found wave solutions in this study are entirely new and they have satisfied the nonlinear Date-Jimbo-Kashiwara-Miwa equation with conformable. Under the suitable chosen of the values of parameters, we plotted 2D, 3D and contour simulations of the wave solutions. From these Figures (1-35), it may be observed that wave solutions to the studied nonlinear model show the estimated wave propagations.

    We would like to thank you for reviewers for their valuable comments on developing this paper.

    This paper was supported by University of Messina (Italy) and National Groups of Mathematical Physic GNFN-INdAM (Italy). Moreover, This projected work was partially (not financial) supported by Harran University with the project HUBAP ID:20124.

    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.



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