Abstract
Theaim of this research is to establish existence and uniqueness results for the Riemann–Liouville fractional integral equation of order by developing common fixed point theorems for generalized contractions involving control functions of two variables in the framework of complex valued suprametric spaces. The proposed results extend and generalize several existing findings in the literature, and some illustrative examples are provided to demonstrate the novelty and applicability of the main theorem.
Keywords:
complex-valued suprametric spaces; common fixed point; Riemann–Liouville fractional integral equations; control functions MSC:
46S40; 47H10; 54H25
1. Introduction
Metric fixed point (FP) theory provides a natural setting for analyzing FPs because it is grounded in the notion of metric spaces (MSs). Within this framework, the behavior of iterative sequences, contractive mappings, and continuity can be precisely controlled, allowing researchers to prove when a self-mapping must possess a point that maps to itself. The idea of an MS was first introduced by Maurice Fréchet [1] in 1906, describing a set supplied with a distance function that measures the separation between any two elements of the space. This study of metric FP theory was revolutionized by the seminal work of Banach [2], who introduced the celebrated Banach contraction principle (BCP). This fundamental result asserts that a contraction mapping on a complete MS possesses a unique FP, and successive iterations of the mapping converge to that point. The simplicity and elegance of this theorem made it a cornerstone for numerous developments in nonlinear analysis and its applications to integral and differential equations. Later, Kannan [3] proposed a significant generalization of Banach’s result by relaxing the contraction condition. Instead of depending solely on the distance between two points, Kannan’s condition involves the distances between each point and its image under the mapping, thereby providing a broader class of mappings that still guarantee the existence of a unique FP. Subsequently, Fisher [4] extended these ideas further by introducing rational-type contractive conditions that encompass both Banach and Kannan contractions as special cases. These progressive generalizations have deepened the scope of FP theory, paving the way for modern extensions in generalized metric frameworks.
In an effort to extend the classical framework of MSs, Matthews [5] introduced the concept of partial MSs, in which the self-distance of a point need not be zero. This notion provides a more flexible structure that captures the behavior of non-disjoint self-mappings and is particularly useful in computer science, where it models computations that are only partially completed. Subsequently, Czerwik [6] proposed the concept of b-MSs by relaxing the triangle inequality through a constant factor thereby generalizing the classical metric structure while preserving completeness and contraction principles. Furthermore, Huang et al. [7] extended the idea to cone MSs, where the distance function takes values in an ordered Banach space rather than in the real numbers, thus enabling the study of FPs in more abstract settings. Building on these generalizations, Berzig [8] introduced the notion of suprametric spaces (SMSs), which unify and extend various existing metric-type structures by relaxing the distance axioms while retaining enough structure to apply powerful FP theorems. In a later development, Berzig [9,10,11] further generalized the notion of SMSs by modifying the triangle inequality axiom, which led to the formulation of two new classes of spaces, namely the generalized SMSs and the b-SMSs.
Motivated by the versatility of complex numbers, Azam et al. [12] introduced complex valued MS (CVMS) as an extension of classical MSs, where the distance between points is a complex number rather than a real one. A CVMS is defined on a set with a mapping satisfying properties analogous to those of real-valued metrics, including properties like non-negativity, symmetry, and an extended form of the triangle inequality. These spaces have proven useful in FP theory, offering a broader framework for studying contraction mappings. Rouzkard et al. [13] broadened the findings of Azam et al. [12] through the inclusion of a rational component embedded in the contractive framework, thereby broadening the reach of complex valued FP results. Later, Sintunavarat et al. [14] refined these results by introducing control functions of a single variable, while Sitthikul et al. [15] further advanced the theory through the use of two-variable control functions within the structure of CVMSs. In contemporary works, Panda et al. [16] unified the ideas of CVMSs and SMSs to establish the idea of complex-valued suprametric spaces (CVSMSs).
In recent years, FP methods have been widely applied to solve nonlinear integral equations, fractional models, and functional equations. For example, Fredholm integral equations have been investigated via FP techniques in [17], stability of functional equations in quasi-Banach spaces has been analyzed using FP methods in [18], and mixed integer–fractional dynamical models have been explored through FP theory in [19]. Earlier significant contributions include the work of Gülyaz et al. [20], who addressed integral equations using classical FP theorems. Abdou [21] utilized a FP approach within CVSMSs to investigate predator-prey dynamics modeled by nonlinear mixed Volterra–Fredholm integral equations, demonstrating the existence and uniqueness of solutions under suitable conditions. Similarly, Shammaky et al. [22] addressed nonlinear Volterra–Hammerstein integral equations in the setting of CVSMSs, employing FP theory to establish solution existence and uniqueness results. These studies exemplify the power of CVSMSs in handling complex nonlinear integral equations and provide a strong motivation for further research in this area. For further details, see references [23,24,25,26].
In this research article, we explore the concept of CVSMSs and investigate common FP theorems for generalized contractions involving control functions of two variables. As consequences of our main results, we recover the leading theorems of Abdou [21], Shammaky et al. [22] and Panda et al. [16] within the framework of CVSMSs, the main results of Azam et al. [12], Rouzkard et al. [13], Sintunavarat et al. [14] and Sitthikul et al. [15] in CVMSs, and the prime result of Berzig [8] in SMSs. To highlight the novelty of our approach, an illustrative example is provided, and the results are applied to solve a Riemann–Liouville fractional integral equation.
2. Preliminaries
Fréchet [1] first proposed the notion of an MS in 1906, which is defined as follows:
Definition 1
([8]). Let , and define a function as follows
- (m1)
- and ,
- (m2)
- (m3)
∀ then is referred to as an MS.
The concept of SMS was introduced by Berzig [8] as described below.
Definition 2
([8]). Let and . Define that adheres to these conditions:
- (s1)
- and ⟺,
- (s2)
- (s3)
∀ then is called a SMS.
Example 1.
Let Define as follows:
and
Let us take Then, forms a SMS but does not qualify as an MS, since the triangle inequality of an MS is not satisfied, namely,
Let . It is well-known that
where ≾ is a partial order on . Therefore,
if one of these axioms is met:
Azam et al. [12] defined the idea of CVMS in the manner described:
Definition 3
([12]). Let Define a function such that
- (c1)
- and ⟺,
- (c2)
- (c3)
∀, then is said to be a CVMS.
Example 2
([12]). Let and Define by
Then is a CVMS.
In contemporary studies, Panda et al. [16] defined the notion of CVSMS through this approach.
Definition 4
([16]). Let and . Define a complex function such that
- (D1)
- and ⟺,
- (D2)
- (D3)
∀ then is considered as a CVSMS.
Example 3.
Let . Define a function by
Then is a CVSMS.
Lemma 1
([16]). Let be a CVSMS and let . Then converges to ϰ if and only if as
Lemma 2
([16]). Let be a CVSMS and let . Then is a Cauchy sequence iff as where
3. Main Results
In the present section, we establish several CFP results in the framework of CVSMSs, which extend the concept of CVMSs. The obtained results are generalizations of some previous results of literature. To facilitate the proofs of the main theorems, we first present a proposition and a lemma that serve as key tools in the subsequent analysis. Thereafter, we proceed to demonstrate the CFP theorems in this generalized setting.
Proposition 1.
Let be two self-mappings, and let Define a sequence {} recursively as follows:
for all
Assume that there exists a function satisfying
∀ Then the following inequalities hold:
∀ and
Before proceeding to the main results, we first establish the following lemma, which provides an essential inequality used in the proof of the subsequent theorems.
Lemma 3.
Let Suppose the mappings satisfy the following conditions:
and
. Then the following estimates hold:
and
Proof.
We can express the inequality as follows
Simplifying the above, we obtain
Similarly, one can derive
Thus, it follows that
□
In what follows, we present our main theorem, which establishes sufficient conditions ensuring the existence and uniqueness of a CFP for two self-mappings in a complete CVSMS under a generalized contractive framework involving four control functions of two variables.
Theorem 1.
Let be a complete CVSMS and . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for all Then and admit a unique CFP.
Proof.
Let be arbitrary. Consider the sequence {} constructed inductively following the approach in (1). Using (2) and Lemma 3, we obtain
By Proposition 1, this yields
Hence,
Likewise, by (2) and Lemma 3, we get
Applying Proposition 1, we obtain
which leads to
Rewriting (3) and (4), we obtain
and
Let Then, from (5) and (6), we have
and
Combining (7) and (8), we conclude that
∀ Recursively, we can generate a sequence in such that
that is,
∀ For , we obtain
Applying the triangle inequality () once again to we get
Proceeding similarly for the subsequent terms, we have
Continuing this recursive process, we obtain
By successively substituting each inequality into its predecessor in (10) and simplifying, we derive
Using inequality (9), it follows that
Since for all we have
With the product term having a lower bound of 1, the summation becomes
The series forms a finite geometric progression with initial term and the common ratio The sum of a finite geometric progression is expressed as
As Hence, the series converges to i.e.,
Because the term tends to 0 as Taking the limit in inequality (11) andand using the previous facts, we obtain
Therefore by Lemma 2 is Cauchy. The completeness of implies the existence of such that as Thus,
Next, we demonstrate that is a FP of Using (2), we have
which implies by Proposition 1 that
Letting we have But thus implies To demonstrate that is a FP of we observe from (2) that
which implies by Proposition 1 that
Letting we have but hence implies Thus is a CFP of and To establish the uniqueness of assume, to the contrary, that there exists a different CFP of and This implies that
but Now from (2), we have
This implies that, we have
which implies
Since thus
Hence □
Example 4.
Let Define by
for all Then is a complete CVSMS with . Define the self mappings by
for Define by
Here
and
Note that
for all Hence
Thus
and
Since is monotone nonincreasing in the first argument we get
and similarly For the inequalities hold trivially because those are zero. So condition (a) is satisfied. Moreover,
hence (b) holds pointwise. Since
holds true for Then, it is very simple to verify
Hence (c) is satisfied. Since (a)–(c) hold, the Theorem applies and and have a unique CFP
By setting in Theorem 1, we deduce the following corollary.
Corollary 1.
Let be a complete CVSMS and . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen, possesses a unique FP.
Example 5.
Let Define by
for all Then is a complete CVSMS with . Define the self mapping by
Define by
Then condition (a) holds, since are non-decreasing in each argument. Since
so the condition (b) holds. Now for with we have
holds, where
and
Thus, the condition (c) of Corollary 1 is also satisfied. Consequently, 0 is the unique FP of the mapping
Thus, the principal result of Abdou et al. [21] can be obtained as a particular case of our main theorem.
Corollary 2
([21]). Let be a complete CVSMS and . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for all Then, and possess a unique CFP.
Proof.
Define by in the Theorem 1. □
Corollary 3.
Let be a complete CVSMS and . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and possess a unique CFP.
Proof.
Define by in Theorem 1. □
Corollary 4.
Let be a complete CVSMS and . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and possess a unique CFP.
4. Fixed Point Results via Control Functions of One Variable
This section focuses on deriving FP results through the use of one variable control functions, which serve as a crucial mechanism for analyzing the behavior of self mappings. For the purposes of this section, is assumed to be a complete CVSMS.
Corollary 5.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and admit a unique CFP.
Proof.
Define by
for all . Then for all , we have
(a)
and
Similarly, we can prove that
(b)
(c)
Thus by Theorem 1, and have a unique CFP. □
The subsequent result represents the principal finding of Shammaky et al. [22], which is obtained as a direct consequence of the preceding corollary.
Corollary 6.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for all Then and admit a unique CFP.
Proof.
Define by in Corollary 5. □
Corollary 7.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and admit a unique CFP.
Proof.
Take by in Corollary 5. □
Corollary 8.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and admit a unique CFP.
Proof.
Take by in Corollary 5. □
Corollary 9.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and admit a unique CFP.
Proof.
Take by in Corollary 5. □
Corollary 10.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and admit a unique CFP.
Proof.
Take by in Corollary 5. □
Remark 1.
It should be emphasized that the hypotheses (a) and (b) of Corollary 5 can be weakened by imposing the following assumption.
Corollary 11.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and admit a unique CFP.
Proof.
Define by
for all . Then for all , we have
(a)
and
Similarly, we can prove that
(b)
(c)
Thus by Theorem 1, and have a unique CFP. □
Corollary 12.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and posses a unique CFP.
Proof.
Take by in Corollary 11. □
Corollary 13.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and have a unique CFP.
Proof.
Assigning by in Corollary 11. □
Corollary 14.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and posses a unique CFP.
Proof.
Assigning by in Corollary 11. □
Corollary 15.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and posses a unique CFP.
Proof.
Assigning by in Corollary 11. □
Corollary 16.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and posses a unique CFP.
Proof.
Assigning by in Corollary 11. □
Remark 2.
If we specialize the above control functions of one variable to constant values, that is, set and in Corollary 11 yields the following results.
Corollary 17.
Let . Suppose there are constants such that and
for all Then and admit a unique CFP.
Proof.
Assigning and in Corollary 11. □
Corollary 18.
Let . Suppose there are constants with such that
for all Then and posses a unique CFP.
Proof.
Assigning in Corollary 17. □
Corollary 19.
Let . Suppose there are constants with such that
for all Then and posses a unique CFP.
Proof.
Assigning in Corollary 17. □
The next result, due to Panda et al. [16], follows directly from Corollary 17.
Corollary 20.
Let . Suppose there are constants with such that
for all Then and have a unique CFP.
Proof.
Assigning in Corollary 17. □
Corollary 21.
Let . Suppose there are constants with such that
for all Then and posses a unique CFP.
Proof.
Assigning in Corollary 17. □
Corollary 22.
Let . Suppose there are constants with such that
for all Then and posses a unique CFP.
Proof.
Assigning in Corollary 17. □
5. Core Contributions in the Framework of Complex-Valued Metric Spaces
Accordingly, we obtain several FP results within the framework of CVMSs by setting in Definition 4 and employing Theorem 1. For the scope of this section, is assumed to be a CVMS.
Corollary 23.
Let . Assume that there exist the functions such that
- (a)
- (b)
- (c)
- for all Then and have a unique CFP.
Proof.
Take in Definition 4 and employing Theorem 1. □
We proceed to derive the principal theorem of Sitthikul et al. [15], which can be obtained as a direct outcome of Corollary 23.
Corollary 24.
Let . Assume that there exist the functions such that
- (a)
- (b)
- (c)
- for all Then and have a unique CFP.
Proof.
Take by in Corollary 23. □
Remark 3.
By assigning to zero in various possible combinations in Corollary 23, several corollaries can be obtained for the control functions involving two variables.
Next, by setting in Definition 4 and applying it to Corollary 5, we derive CFP results under contractive conditions involving control functions of a single variable.
Corollary 25.
Let . Assume that there are functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and admit a unique CFP.
Proof.
Take in Corollary 5. □
Building on Corollary 25, we recover the central theorem of Sintunavarat et al. [14] as a natural consequence.
Corollary 2.
([14]). Let . Assume that there are functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for all Then and admit a unique CFP.
Proof.
Take with in Corollary 25. □
Subsequently, considering in Definition 4 and invoking Corollary 17, we derive FP results under contractive mappings characterized by constant parameters.
Corollary 27.
Let . Assume that there are constants such that and
for all Then and possess a unique CFP.
Proof.
Take in Corollary 17. □
The fundamental result of Rouzkard et al. [13] can be derived directly as a special case of Corollary 27.
Corollary 28.
([13]). Let . Assume that there are constants with such that
for all Then and possess a unique CFP.
Proof.
Take in Corollary 27. □
Corollary 27 encompasses the main theorem of Azam et al. [12] as a particular case.
Corollary 29.
([12]). Let . Assume that there are constants with such that
for all Then and possess a unique CFP.
Proof.
Take in Corollary 27. □
6. Fundamental Developments in the Study of Suprametric Spaces
When is restricted to in Definition 4 (i.e., the imaginary component is zero), the notion of CVSMS reduces to SMS, and Theorem 1 yields several results as its special cases. This section examines under the assumption that it forms a SMS. As an immediate consequence of Theorem 1, we present the following result.
Corollary 30.
Let . Assume that there are functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and possess a unique CFP.
Remark 4.
By setting the control functions to zero and taking the mappings and to be identical, several results can be derived from the above statement.
Corollary 31.
Let . Assume that there are functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and admit a unique CFP.
Corollary 32.
Let . Assume that there exist functions satisfying the following conditions:
- (a)
- (b)
- (c)
- for allThen and possess a unique CFP.
Remark 5.
By assigning zero to the control functions and considering the mappings and as identical, multiple results follow directly from the Corollaries 31 and 32.
Corollary 33.
Let . Assume that there exist the constants such that and
for all Then and possess a unique CFP.
Corollary 34.
Let be a complete SMS and . Assume that there exist the constants such that
for all Then and possess a unique CFP.
Proof.
Take in Corollary 33. □
Using this approach, we obtain the principal result of Berzig [8] in the context of SMS.
Corollary 35.
([8]). Let . Assume that there exist the constants such that
for all Then, possesses a unique FP.
Remark 6.
Setting the constants to zero and taking the mappings and to be identical, various results including Kannan-type [3] and Fisher-type FP theorems [4] can be directly obtained from Corollary 33 in the framework of SMS.
7. Existence and Unique Solution of Reimann-Lioville Fractional Integrals
The application of FP theorems to solve differential and integral equations has become a cornerstone in modern mathematical research. This method offers a solid framework for proving the solutions across a broad range of equations., particularly those involving nonlocal operators such as fractional integrals and derivatives. The utility of FP theory in this context is underscored by its ability to handle the complexities introduced by nonlinearity and memory effects inherent in fractional calculus.
In recent years, there has been a significant surge in the application of FP results to fractional integral equations. These equations, which generalize classical integral equations by incorporating fractional-order integrals, are pivotal in modeling phenomena with memory and hereditary properties across various disciplines, including physics, engineering, and biology. The Riemann–Liouville fractional integral, in particular, serves as a fundamental operator in this domain. Recent works have applied FP theory to fractional integral equations, including Zhou et al. [27], Ramaswamy et al. [28] and Deb et al. [29]
Building upon these advancements, this section establishes a FP framework within CVSMS to prove the continuous solutions to a general Riemann–Liouville fractional integral equation. By leveraging the properties of CVSMS and introducing appropriate control functions, we demonstrate that under suitable conditions, the associated operator has a unique FP, which corresponds to the unique continuous solution of the integral equation.
Consider the Riemann–Liouville fractional integral equation of order
where
- is the unknown continuous function (solution) we aim to find.
- is a given continuous function representing the forcing term or initial input.
- is a complex constant parameter that can scale the integral term.
- (with denotes the order of the Riemann–Liouville fractional integral, with being the Gamma function.
- is a continuous function, often assumed to satisfy a Lipschitz condition in the second variable to ensure uniqueness of the solution.
- The integral is the Riemann–Liouville fractional integral of order
Let denote the Banach space of real-valued continuous functions on We endow with the complex-valued suprametric
where It is easy to verify that is a complete CVSMS with , which provides a suitable setting for applying generalized FP results.
Let satisfy a Lipschitz condition in its second argument with Lipschitz constant , that is,
for all We define the Riemann–Liouville fractional integral operator by
where is a given continuous function. To apply a FP theorem in CVSMS, we introduce a control function by
where The condition ensures that for all
With this setup, we can state the main result of this section.
Theorem 2.
Let all the above assumptions hold. Then the operator has a unique FP . Moreover, is the unique continuous solution of the Riemann–Liouville fractional integral Equation (13).
Proof.
Since g and f are continuous and the Riemann–Liouville integral preserves continuity, so is well-defined.
For , we have
Using the Lipschitz condition for g, that is,
So
Since
Therefore
Since so by the definition of we have
Therefore, all the assumptions of Corollary 1 are satisfied, with Hence has a unique FP , which is also the unique continuous solution of the integral equation
□
Example 6.
Consider the Riemann–Liouville fractional integral equation of order
Here, the components are:
- is the unknown continuous function (solution) we aim to find.
- is a continuous forcing term, and a non-constant kernel
- is a complex constant,
- is the order of the Riemann–Liouville fractional integral, with being the Gamma function.
- is a continuous function satisfying a Lipschitz condition in the second argument with Lipschitz constant
With these parameters, the condition
is satisfied. Therefore, by the theorem given above, there exists a unique continuous solution of this integral equation.
Remark 7. (Behavior Near the Threshold).
As the constant part
tends to 1 from below. Crucially, the control function
satisfies , for all even arbitrarily close to the threshold. Thus, unlike classical Banach-type inequalities, our condition remains admissible and stable near the boundary, showing that the method is robust.
Remark 8. (Beyond Lipschitz Nonlinearities).
The two-variable control structure naturally accommodates nonlinearities that are not Lipschitz continuous. For instance, suppose g satisfies a Hölder condition
Following the same estimation steps, one obtains
Since is not linear in the classical Banach FP theorem does not apply. However, we can incorporate this behavior into a suitably modified control function, e.g.,
which remains in for under appropriate parameter restrictions. This illustrates the flexibility of the framework to handle a wider class of non-linearities than standard Banach-type contractions.
Remark 9. (Robustness With Respect to ). The term
ensures that the control function behaves smoothly and remains bounded away from 1 for all pairs When is small, the contraction coefficient is close to the constant giving a strong contraction similar to the classical case. For large deviations, the term approaches but the factor attenuates its contribution, preventing the overall control function from becoming ineffective. This built-in-self adjustment makes the contraction condition more stable across different scales of the distance between functions, which is advantageous for proving convergence of successive approximations even when the initial guess is far from the FP. It provides stronger contraction for small differences and prevents blow-up for large differences.
This makes the proposed contraction more stable and more general than constant-coefficient or one-variable control conditions used in earlier works.
8. Conclusions and Future Work
In this study, the concept of CVSMSs was explored, and common FP theorems for generalized contractions with control functions of two variables were established. As a result, several known results were recovered as special cases: the leading theorems of Abdou [21], Shammaky et al. [22] and Panda et al. [16] within the framework of complex-valued suprametric spaces, the main results of Azam et al. [12], Rouzkard et al. [13], Sintunavarat et al. [14] and Sitthikul et al. [15] in CVMSs, and the prime result of Berzig [8] in SMSs. To demonstrate the novelty and applicability of the proposed results, an illustrative example was provided, and the developed theorems were successfully applied to solve a Riemann–Liouville fractional integral equation.
Future studies will aim to generalize the common FP theorems to multi-valued mappings within the framework of CVSMSs. Furthermore, the investigation of differential and integral inclusions in this setting will be pursued. It is anticipated that these developments will stimulate further research and enhancements, potentially expanding the applicability of the current results.
Author Contributions
Conceptualization, H.G. and J.A.; Methodology, H.G.; Validation, J.A.; Investigation, H.G. and J.A.; Writing—original draft preparation, H.G.; Writing—review and editing, H.G.; Visualization, J.A.; Supervision, J.A.; Project administration, J.A.; Funding acquisition, J.A. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author(s).
Conflicts of Interest
The authors declare no conflicts of interest.
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