
In this paper, the existence of positive periodic solution of stage-structured predator-prey model with Crowley-Martin type functional response is investigated. The prey population fall into two categories: mature and immature prey. The predator population is dependent only on mature prey and is influenced by Crowley-Martin type functional response. Based on the Mawhin's coincidence degree theory and nontrivial estimation techniques for a priori bounds of unknown solutions to the operator equation Fz=μNz, we prove the existence of positive periodic solution. Finally, the effectiveness of our result is verified by an example and numerical simulation.
Citation: Weijie Lu, Yonghui Xia. Periodic solution of a stage-structured predator-prey model with Crowley-Martin type functional response[J]. AIMS Mathematics, 2022, 7(5): 8162-8175. doi: 10.3934/math.2022454
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In this paper, the existence of positive periodic solution of stage-structured predator-prey model with Crowley-Martin type functional response is investigated. The prey population fall into two categories: mature and immature prey. The predator population is dependent only on mature prey and is influenced by Crowley-Martin type functional response. Based on the Mawhin's coincidence degree theory and nontrivial estimation techniques for a priori bounds of unknown solutions to the operator equation Fz=μNz, we prove the existence of positive periodic solution. Finally, the effectiveness of our result is verified by an example and numerical simulation.
The predator-prey relationship has become one of the most important relationships in ecology in recent decades due to the prevalence and importance of species predation. The predator-prey model [1,2] generally takes the form of
dzi(t)dt=zi(t)[ai(t)+n∑j=1bijzj(t)],i=1,2,⋯,n. |
Many scholars have made contributions to it (see e.g. [3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18]). In population models, stage-structure is one of the important factors to explain the dynamics of predator-prey model. Recently, many studies (see for example [19,20,21,22,23,24]) have considered the predator-prey system with the stage-structure of predator, prey or both.
On the other hand, in the study of predator-prey system, functional response also plays an important role, which can represent the quantity of prey killed by a predator per unit time and describe the amount of biological transfer between different nutritional levels. Holling type-Ⅱ functional response [16,25,26] takes into account the average feeding rate of a predator to its prey. It can be expressed as: f(x,y)=a1x1+a2x, where a1 and a2 are positive constants, which denote the capture rate and the influence of the processing time, respectively. In this functional response, competition between predators for food only occurs when prey is depleted. Another functional response function is the Beddinton-DeAnglis type [22,27,28], which is similar to the Holling type-Ⅱ. However, it takes into account the interference between predators. Therefore, Beddinton-DeAnglis type functional response function describes that individuals from two or more predator groups not only take prey, but also meet and compete with other predators. It has the type: f(x,y)=a1x1+a2x+a3y, where a3 is a positive constant, describing the degree of disturbance between predators. Moreover, it is assumed that its influence on the predation rate can be ignored in the case of high prey density. In this paper, we consider the Crowley-Martin type functional response [29,30,31,32]:
f(x,y)=a1x1+a2x+a3y+a2a3xy=a1x(1+a2x)(1+a3y). |
It also takes the interference between predators into account, but the biggest difference between it and Beddinton-DeAnglis type functional response is: the influence of predator disturbance on the predation rate is always an important factor, which cannot be ignored. Hence, Crowley-Martin type functional response is more consistent with the phenomenon in ecology and has more research value.
Maiti et al. [32] studied the global dynamics of an autonomous stage-structured predator-prey model with Crowley-Martin type functional response. However, they did not cosider the periodic behavior of this model with periodic parameters. The assumption of periodicity of the parameters is a way of incorporating the periodicity of the environment. The periodic oscillation of the parameters seems reasonable in view of seasonal factors, e.g. mating habits, availability of food, weather conditions, harvesting and hunting, etc. Cai et al. [30] presented the existence of positive periodic solutions of an Eco-Epidemic model with Crowley- Martin type functional response. Inspired by the above works, we study a stage-structured predator-prey system with Crowley-Martin type functional response:
{dx1(t)dt=s(t)x2(t)−r(t)x1(t)−d(t)x1(t),dx2(t)dt=r(t)x1(t)−α(t)x22(t)−β(t)x2(t)y(t)(1+ax2(t))(1+by(t))−d1(t)x2(t),dy(t)dt=β1(t)x2(t)y(t)(1+ax2(t))(1+by(t))−d2(t)y(t)−γ(t)y2(t), | (1.1) |
where x1(t) and x2(t) are the population density of immature and mature prey at time t, y(t) is the population density of predator at time t, and all the following parameters involved are continuous positive periodic functions: (Ⅰ) for immature prey: (1) the ratio function s(t) represents the ratio of birth rate to available mature prey; (2) the ratio of the conversion of immature prey to mature prey to existing immature prey is denoted by r(t), and the ratio of the death rate of immature prey to existing immature prey is represented by d(t). (Ⅱ) for mature prey: (1) α(t) is an internally specific interference function; (2) the ratio of the death rate to existing mature prey is denoted by d1(t); (3) the interaction between predator and mature prey is a Crowley-Martin type functional response with rate β(t). (Ⅲ) for predator: (1) β1(t) denotes the intake of predators, and 0<β1(t)<β(t); (2) d2(t) denotes the death rate of the predator; (3) γ(t) denotes the internal specific disturbance function for the predator.
In terms of the number of creatures, the initial conditions for model (1.1) are given by
(x1(t),x2(t),y(t))∈C+=C(0,R3+),x1(0)>0,x2(0)>0,y(0)>0. |
The purpose in the present paper is to find some suitable conditions of the existence of positive periodic solution for system (1.1). The method is based on Mawhin's coincidence degree theory.
In this section, we establish the existence of positive periodic solution for the system (1.1). For this purpose, we first assume that the parameters in the system (1.1) are all ω-period. To obtain a positive periodic solution for system (1.1), we summarize the following lemmas.
Lemma 2.1. [35,36,37] Let U∈Z be an open bounded set on Banach space Z. Assume that F is a Fredholm operator of index zero and N is F-compact on ˉU. If the following conditions hold:
(1) for any fixed μ∈(0,1), z∈∂U∩DomF, Fz≠μNz;
(2) for any fixed z∈∂U∩kerF, QNz≠0 and the Brouwer's degree: deg[JQN,U∩kerF,0]≠0.
Then Fz=Nz has at least one solution on ˉU∩DomF.
For the sake of simplicity, we use the notations:
ˉϑ=1ω∫ω0ϑ(t)dt,ϑM=maxt∈[0,ω]ϑ(t),ϑL=mint∈[0,ω]ϑ(t),
l±=−(γL+bdL2)±√△12bγL,△1=(γL−bdL2)2+4a−1bγLβM1,
h±=−(γM+bdM2)±√△22bγM,△2=(γM−bdM2)2+4bγMβL11+a,
q+=rMsM−ˉd1ω(rL+dL)αω(rL+dL),m+=lnˉsp+ˉr+ˉd−2ˉd1ω,
△3=[ˉβ+ˉd1(1+a)(b+l−1+e−2¯d2ω]2+4ˉαˉr(1+a)2(b+l−1+e−2¯d2ω)2,
p±={−[ˉβ+ˉd1(1+a)(b+l−1+e−2¯d2ω]±√△3}{2ˉα(1+a)(b+l−1+e−2¯d2ω)}−1.
Furthermore, we assume that:
(H1) βM1>adL2, (H2) βL1>(1+a)dM2, (H3) ˉsp+>(ˉr+ˉd)e2(ˉd+ˉd1)ω.
From a biological viewpoint, the assumptions (H1) and (H2) imply that the intake of a mature predator is greater than its death rate, while the assumption (H3) implies that the birth rate of the prey is influenced by the stage structure and the death rate of mature and immature prey.
Now, we present a theorem on the existence.
Theorem 2.1. If (H1), (H2), (H3) hold, then system (1.1) has at least a positive periodic solution.
Proof: Firstly, replacing the variables by
z1(t)=lnx1(t),z2(t)=lnx2(t),z3(t)=lny(t). |
Then system (1.1) changes into
{dz1(t)dt=s(t)ez2(t)−z1(t)−r(t)−d(t),dz2(t)dt=r(t)ez1(t)−z2(t)−α(t)ez2(t)−d1(t)−β(t)ez3(t)(1+aez2(t))(1+bez3(t)),dz3(t)dt=β1(t)ez2(t)(1+aez2(t))(1+bez3(t))−γ(t)ez3(t)−d2(t). | (2.1) |
Define
Z=W={z=(z1,z2,z3)∈C(R,R3)|z(t+ω)=z(t)}. |
Z,W are both Banach space with the norm ||⋅|| as follows
||z||=maxt∈(0,ω)3∑i=1|zi|,z=(z1,z2,z3)∈ZorW. |
For any z=(z1,z2,z3)∈Z, the periodicity of system (2.1) implies:
s(t)ez2(t)−z1(t)−r(t)−d(t):=Γ1(z,t), |
r(t)ez1(t)−z2(t)−α(t)ez2(t)−d1(t)−β(t)ez3(t)(1+aez2(t))(1+bez3(t)):=Γ2(z,t) |
and
β1(t)ez2(t)(1+aez2(t))(1+bez3(t))−γ(t)ez3(t)−d2(t):=Γ3(z,t) |
are ω-period functions. In fact,
Γ1(z(t+ω),t+ω)=s(t+ω)ez2(t+ω)−z1(t+ω)−r(t+ω)−d(t+ω)=s(t)ez2(t)−z1(t)−r(t)−d(t)=Γ1(z,t). |
Obviously, Γ2(z,t),Γ3(z,t) are also both periodic functions by a similar way. Set
F:DomF⋂V,F(z1,z2,z3)=(dz1dt,dz2dt,dz3dt), |
where DomF={(z1,z2,z3)∈C(R,R3)} and N:Z→Z is defined by
N(z1z2z3)=(Γ1(z,t)Γ2(z,t)Γ3(z,t)). |
Define
P(z1z2z3)=Q(z1z2z3)=(1ω∫ω0z1(t)dt1ω∫ω0z2(t)dt1ω∫ω0z3(t)dt),(z1z2z3)∈Z=W. |
From the above definition, we have
kerF={z∈Z|z=C0,C0∈R3}andℑF={w∈W|∫ω0w(t)dt≡0}, |
and codimℑF=dimkerF=3<∞. Hence, F is a Fredholm map of index zero. Moreover, it is clear that P and Q are continuous projection operators with
kerF=ImP,andImF=kerQ=Im(I−Q). |
Therefore, the inverse
Kp:ℑF→DomF∩kerP exists and is given by
Kp(z1z2z3)=(∫t0z1(s)ds−1ω∫ω0∫t0z1(s)dsdt∫t0z2(s)ds−1ω∫ω0∫t0z2(s)dsdt∫t0z3(s)ds−1ω∫ω0∫t0z3(s)dsdt). |
Thus, we have
QN(z1z2z3)=(1ω∫ω0Γ1(z,t)dt1ω∫ω0Γ2(z,t)dt1ω∫ω0Γ3(z,t)dt) |
and
Kp(I−Q)Nz=∫t0Nz(s)ds−1ω∫ω0∫t0Nz(s)dsdt−(tω−12)∫ω0Nz(s)ds. |
Clearly, QN and Kp(I−Q)N are continuous. Due to Z is a Banach space, using the Arzala-Ascoli theorem, we have that N is F-compact on ˉU for any open bounded set U⊂Z.
Next, in order to apply the continuation theorem, we need construct an appropriate open bounded subset U. Therefore, the operator equation is defined by Fz=μNz,μ∈(0,1), that is,
{˙z1(t)=μ[s(t)ez2(t)−z1(t)−r(t)−d(t)],˙z2(t)=μ[r(t)ez1(t)−z2(t)−α(t)ez2(t)−d1(t)−β(t)ez3(t)(1+aez2(t))(1+bez3(t))],˙z3(t)=μ[β1(t)ez2(t)(1+aez2(t))(1+bez3(t))−γ(t)ez3(t)−d2(t)]. | (2.2) |
We assume that z=(z1,z2,z3)T∈Z is a solution of system (2.1) for any fixed μ∈(0,1). Now, integrating system (2.1) from 0 to ω leads to
{ˉdω=∫ω0[s(t)ez2(t)−z1(t)−r(t)]dt,ˉd1ω=∫ω0[r(t)ez1(t)−z2(t)−α(t)ez2(t)−β(t)ez3(t)(1+aez2(t))(1+bez3(t))]dt,ˉd2ω=∫ω0[β1(t)ez2(t)(1+aez2(t))(1+bez3(t))−γ(t)ez3(t)]dt. | (2.3) |
From (2.2) and (2.3), we can deduce that
{∫ω0|˙z1(t)|dt≤μ[∫ω0|s(t)ez2(t)−z1(t)−r(t)|dt+∫ω0|d(t)|dt]<2ˉdω,∫ω0|˙z2(t)|dt≤μ[∫ω0|r(t)ez1(t)−z2(t)−α(t)ez2(t)−β(t)ez3(t)(1+aez2(t))(1+bez3(t))|dt+∫ω0|d1(t)|dt]<2ˉd1ω,∫ω0|˙z3(t)|dt≤μ[∫ω0|β1(t)ez2(t)(1+aez2(t))(1+bez3(t))−γ(t)ez3(t)|dt+∫ω0|d2(t)|dt]<2ˉd2ω. | (2.4) |
Since (z1,z2,z3)∈Z, there exist ηi,ξi∈[0,ω] such that
zi(ηi)=maxt∈[0,ω]zi(t),zi(ξi)=mint∈[0,ω]zi(t),i=1,2,3. |
Integrating the third equation of (2.1) from 0 to ω, we obtain
∫ω0[d2(t)+γ(t)ez3(t)]dt=∫ω0β1(t)ez2(t)(1+aez2(t))(1+bez3(t))dt. | (2.5) |
From the equation (2.5), we immediately have
dL2+γLez3(ξ3)≤∫ω0[d2(t)+γ(t)ez3(t)]dt=∫ω0β1(t)ez2(t)(1+aez2(t))(1+bez3(t))dt≤∫ω0β1(t)a(1+bez3(t))⋅aez2(t)(1+aez2(t))dt≤βM1a⋅1(1+bez3(t)) |
which implies
bγLe2z3(ξ3)+(γL+bdL2)ez3(ξ3)+(dL2−βM1a)≤0. |
Since △1=(γL−bdL2)2+4a−1bγLβM1>0, we have
l±:=−(γL+bdL2)±√△12bγL. |
In view of (H1), l−=−(γL+bdL2)−√△12bγL<0, it does not exist. Hence,
z3(ξ3)<lnl+. | (2.6) |
It follows from (2.4), (2.6) that
z3(t)≤z3(ξ3)+∫ω0|˙z3(t)|dt<lnl++2ˉd2ω, |
thus,
z3(η3)<lnl++2ˉd2ω=M1. |
In view of equation (2.5) again, we have that
dM2+γMez3(η3)≥∫ω0[d2(t)+γ(t)ez3(t)]dt=∫ω0β1(t)ez2(t)(1+aez2(t))(1+bez3(t))dt≥βL1(1+bez3(η3))⋅1(1+aez2(ξ3))≥βL1(1+bez3(η3))(1+a), |
which implies
bγMe2z3(η3)+(γM+bdM2)ez3(η3)+(dM2−βL11+a)≥0. |
Since △2=(γM−bdM2)2+4bγMβL11+a>0, we have
h±:=−(γM+bdM2)±√△22bγM, |
and in view of (H2), h−<0 does not exist. Consequently,
z3(η3)>lnh+. | (2.7) |
It follows from (2.4), (2.7) that
z3(t)≥z3(η3)−∫ω0|˙z3(t)|dt>lnh+−2ˉd2ω, |
in particular,
z3(ξ3)>lnh+−2ˉd2ω=M2. |
Thus, we take
maxt∈[0,ω]|z3(t)|<max{|M1|,|M2|}=C3. |
It follows the second equation of (2.3) that
ˉd1ω≥ˉrωez2(η2)−ˉαωez2(η2)−¯βω(1+a)⋅1b+1/ez3(η3), |
that is,
ˉα(1+a)(b+l−1+e2z2(η2)+[ˉβ+ˉd1(1+a)(b+l−1+e−2¯d2ω]ez2(η2)−ˉr(1+a)(b+l−1+e−2¯d2ω)≥0. |
Due to
△3=[ˉβ+ˉd1(1+a)(b+l−1+e−2¯d2ω]2+4ˉαˉr(1+a)2(b+l−1+e−2¯d2ω)2>0, |
we obtain
p±:=−[ˉβ+ˉd1(1+a)(b+l−1+e−2¯d2ω]±√△32ˉα(1+a)(b+l−1+e−2¯d2ω), |
Notice that p−<0 does not exist, we have
z2(η2)>lnp+. | (2.8) |
It follows from (2.4), (2.8) that
z2(t)≥z2(η2)−∫ω0|˙z2(t)|dt>lnp+−2ˉd1ω, |
in particular,
z2(ξ2)>lnp+−2ˉd1ω=M3. | (2.9) |
Multiplying the first equation of (2.1) by ez1(t)−z2(t) and integrating over [0,ω], we deduce
∫ω0[r(t)+d(t)]ez1(t)−z2(t)dt=∫ω0s(t)dt. |
It implies that
∫ω0ez1(t)−z2(t)dt≤sMrL+dL. |
In view of the second equation of (2.3), we find that
ˉd1≤rMω∫ω0ez1(t)−z2(t)dt−ˉαez2(ξ2)≤rM⋅sMω(rL+dL)−ˉαez2(ξ2). | (2.10) |
It can be rewritten as
z2(ξ2)≤lnrMsM−ˉd1ω(rL+dL)αω(rL+dL)=lnq+, |
which implies,
z2(η2)<lnq++2ˉd1ω=M4. |
Hence,
maxt∈[0,ω]|z2(t)|<max{|M3|,|M4|}=C2. |
Combining the first equation of (2.3) with (2.9) leads to
ˉd≥ˉsez2(ξ2)ez1(η1)−ˉr, |
which is
z1(η1)>lnˉsp+ˉr+ˉd−2ˉd1ω=m+. | (2.11) |
It follows from (2.4), (2.11) that
z1(ξ1)>m+−2ˉdω=M5. |
Finally, from the first equation of (2.3), we deduce
ˉr+ˉd≤ˉs⋅ez2(η2)ez1(ξ1)<ˉsq+e2ˉd1ω1ez1(ξ1), |
which can be rewritten as
z1(ξ1)<lnˉsq+e2ˉd1ωˉr+ˉd. | (2.12) |
From (2.4), (2.12), we have
z1(t)≤z1(ξ1)+2ˉdω<lnˉsq+e2ˉd1ωˉr+ˉd+2ˉdω, |
which is
z1(η1)<lnˉsq+e2ˉd1ωˉr+ˉd+2ˉdω=M6. |
Therefore, we take
maxt∈[0,ω]|z1(t)|<max{|M5|,|M6|}=C1. |
Now, we consider QNz with z=(z1,z2,z3)T∈R3. Note that
QN(z1,z2,z3)T=[−(ˉr+ˉd)+ˉsez2(t)−z1(t),ˉrez1(t)−z2(t)−ˉαez2(t)−ˉd1 |
−ˉβez3(t)(1+aez2(t))(1+bez3(t)),ˉβ1ez2(t)(1+aez2(t))(1+bez3(t))−ˉγez3(t)−ˉd2]. |
In view of (Hi)3i=1, we know that the equation QN(z1,z2,z3)T=0 has a solution ˜z=(˜z1,˜z2,˜z3) with
M5<˜z1<M6,M3<˜z2<M4,M2<˜z3<M1. |
where Mi>0, i=1...6 are positive constants. Take B=max{C1+C0,C2+C0,C3+C0}, where C0>0 is sufficiently large constant such that ||(˜z1,˜z2,˜z3)||<C0. We set
U={z(t)=(z1(t),z2(t),z3(t))T∈Z:||z||<B}. |
Then the open bounded set U of Z satisfies the condition (1) of Lemma 2.1. If (z1,z2,z3)∈∂U∩kerF=∂U∩R3, then (z1,z2,z3) is a constant vector on R3, and it satisfies ||(z1,z2,z3)||=|z1|+|z2|+|z3|=B. Hence, we obtain that QN(z1,z2,z3)T≠(0,0,0)T. In order to calculate Brouwer's degree, we consider a homotopic mapping as follows:
Hλ((z1,z2,z3)T)=λQN((z1,z2,z3)T)+(1−λ)G((z1,z2,z3)T),λ∈[0,1], |
where
G((z1,z2,z3)T)=(ˉsez2(t)−z1(t)−(ˉr+ˉd)ˉrez1(t)−z2(t)−ˉαez2(t)−ˉd1ˉβ1ez2(t)(1+aez2(t))(1+bez3(t))−ˉγez3(t)−ˉd2). |
Then for any λ∈[0,1], 0∉Hλ(∂U∩kerF). Moreover, we see that equation G((z1,z2,z3)T)=0 has a unique solution on R3. Indeed, through the first and second components of G, we can get the unique expression of z2, i.e., z2(t)=ln[α−1(ˉsˉr+ˉd+ˉd1)]. Further, the expression of z1 is uniquely determined, i.e. z1(t)=z2(t)−ln(ˉr+ˉdˉs). Now through the third component of G, we have
bˉγ(ez3(t))2+(γ+d2b)ez3(t)+d2−ˉβ1ez2(t)(1+aez2(t))=0. |
In view of (H1) and (H2), the product of two solutions of the above equation must be less than zero, thus there is only one positive solution z3(t). Since ℑQ=kerF, we deduce that J=I. Thus
deg(JQN,U∩kerF,0)=deg(QN,U∩kerF,0)=deg(G,U∩kerF,0)≠0, |
where deg(⋅,⋅,⋅) is Brouwer's degree. Hence, the requirement (2) of Lemma 2.1 also holds. From Lemma 2.1 and the periodicity of the system, we know that system (1.1) has at least one positive periodic solution on DomF∩ˉU. This completes the proof of Theorem 2.1.
As an example, we consider the following nonautonomous predator-prey model with Crowley-Martin type functional response:
{dx1(t)dt=(10+sint)x2(t)−(7+sint)x1(t)−0.3x1(t),dx2(t)dt=(7+sint)x1(t)−0.1x22(t)−(2+sint)x2(t)y(t)(1+0.5x2(t))(1+0.5y(t))−0,2x2(t),dy(t)dt=(1.5+sint)x2(t)y(t)(1+0.5x2(t))(1+0.5y(t))−0.1y(t)−0.05y2(t). | (3.1) |
where x1(t) and x2(t) are the population density of immature and mature prey at time t, y(t) is the population density of predator at time t. s(t)=10+sint denotes the ratio of birth rate to available mature prey, r(t)=7+sint represents the ratio of the conversion of immature prey to mature prey to existing immature prey, d(t)=0.3 and d1(t)=0.2 are the ratio of the death rate of immature prey and mature prey, respectively. α(t)=0.1 is an internally specific interference coefficient. The term (2+sint)x2(t)y(t)(1+0.5x2(t))(1+0.5y(t)) stands for the Crowley-Martin type functional response with rate β(t)=2+sint. Moreover, β1(t)=1.5+sint denotes the intake of predator; d2(t)=0.1 is the death rate of the predator and γ(t)=0.05 is the internal specific disturbance coefficient for the predator. Simple computation shows (H1)-(H3) in Theorem 2.1 are satisfied, we conclude that system (3.1) has at least one positive periodic solution. Now we take the initial values x1(0)=0.5,x2(0)=0.5,y(0)=5, then the following figure is obtained through Maple software.
As can be seen from the above figure, system (3.1) has a periodic solution with a period 2π. Namely, immature prey, mature prey and predator all have a periodic solution with period 2π in the same periodic environment. On the other hand, it also shows that our results are feasible based on the method of Mawhin's coincidence degree theory and some nontrivial estimation techniques.
In the present paper, a stage-structured predator-prey model with Crowley-Martin type functional response is considered. It is assumed that the prey population can divide into two parts: mature and immature prey. The predator population is only dependent on mature prey and is influenced by Crowley-Martin type functional response. Based on the method of Mawhin's coincidence degree theory and novel estimation techniques for a priori bounds of unknown solutions to the operator equation Fz=μNz, we obtain some interesting and novel sufficient conditions for the existence of positive periodic solution of the ecological model. Another interesting topic is the existence of analytic periodic solution. Kosov and Semenov [33,34] studied the existence of (analytic) exact periodic solutions of some nonlinear differential equations, and showed that these periodic solutions are analytic functions under some sufficiently conditions. However, it is impossible to get the analytic periodic solutions in this model due to its great complexity. The analytic periodic solutions can be obtained for some particular systems, it is difficult for the very complicated system. Moreover, our method is based on Mawhin's coincidence degree theory. Thus, we can prove the existence of the periodic solutions by this method.
This paper was jointly supported from the National Natural Science Foundation of China under Grant (No. 11931016). The authors thank the editor and anonymous referees for their valuable suggestions and comments, which improved the presentation of this paper.
The authors declare that there is no conflict of interests regarding the publication of this article.
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