Research article Special Issues

Teaching geography and blended learning: interdisciplinary and new learning possibilities

  • The pandemic due to Covid-19 ushered Italian universities into the world of digital education, with geography being one of the disciplines that derived multiple benefits from a worldwide, technological transition. Our contribution focuses on the Turin experience of Cultural Geography teaching for the degree-courses of Languages and Cultures for Tourism (Undergraduate course) and of International Communication for Tourism (Master's degree-course). It highlights how the combined use of Moodle, WebEx, Google Earth, and Instagram stimulated an interest in a traditionally neglected subject, but also offers food for thought on the use of the same technologies in teaching Italian language, through geography, in US universities.

    Citation: Lorenzo D'Agostino, Daniela Santus. Teaching geography and blended learning: interdisciplinary and new learning possibilities[J]. AIMS Geosciences, 2022, 8(2): 266-276. doi: 10.3934/geosci.2022016

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  • The pandemic due to Covid-19 ushered Italian universities into the world of digital education, with geography being one of the disciplines that derived multiple benefits from a worldwide, technological transition. Our contribution focuses on the Turin experience of Cultural Geography teaching for the degree-courses of Languages and Cultures for Tourism (Undergraduate course) and of International Communication for Tourism (Master's degree-course). It highlights how the combined use of Moodle, WebEx, Google Earth, and Instagram stimulated an interest in a traditionally neglected subject, but also offers food for thought on the use of the same technologies in teaching Italian language, through geography, in US universities.



    Several decades ago, classical calculus underwent a transformative phase, propelled by remarkable innovations. Researchers unanimously acknowledge the remarkable efficacy and accuracy of outcomes derived from fractional-order equations. Presently, fractional calculus finds widespread application across various domains, including chaos theory, simulation, and modeling. A myriad of elegant definitions and operators, such as Riemann, Caputo, Hadamard, Katugampola, Atangana-Baleanu, and many others, exemplify the beauty of fractional calculus [1,2,3,4,5,6,7]. For a comprehensive overview of the origins, advancements, and applications of fractional calculus, we direct the reader to the esteemed monographs [8,9] and compelling articles [10,11,12,13,14,15]. The Hermite-Hadamard inequality stands as a cornerstone in mathematical analysis, offering profound insights into the properties of integrable functions.

    Convexity stands as a cornerstone in solving several problems in general and applied mathematics. Its robustness has led to the generalization and extension of convex functions and convex sets across numerous branches of mathematics, with many inequalities stemming from convexity theory present in the literature [16,17,18,19,20]. Among these inequalities, the Hermite-Hadamard (H-H) inequality shines as a strikingly useful result in the realm of mathematical inequalities [21,22,23,24,25]. This inequality holds pivotal significance due to its close connections with other notable inequalities such as the Hölder, Opial, Hardy, Minkowski, Ostrowski, and Young inequalities.

    The H-H inequality, expressed as follows [26]:

    (ϰ1+ϰ22)1ϰ2ϰ1ϰ2ϰ1(ν)dν(ϰ1)+(ϰ2)2, (1.1)

    holds for to be a convex function on the interval [ϰ1,ϰ2]. This double inequality encapsulates profound insights into the behavior of convex functions over intervals, serving as a fundamental tool in various mathematical contexts.

    In recent past several generalizations, refinements, and extensions of (1.1) are developed, which attracted the attention of a wide range of researchers both in applied and pure mathematics.

    Suppose ˘AR and :˘AR is a differentiable function on ˘A (the interior of ˘A) such that ϰ1,ϰ2 ˘A with ϰ1<ϰ2. In this case, the well-known Ostrowski inequality [27] states that

    |(ν)1ϰ2ϰ1ϰ2ϰ1(ν)dν|[14+(νϰ1+ϰ22)2(ϰ2ϰ1)2](ϰ2ϰ1)S, (1.2)

    for all ν[ϰ1,ϰ2] if |(μ)|S for all μ[ϰ1,ϰ2].

    Ostrowski-type inequalities, which give error estimates for numerous quadrature rules, have important applications in numerical analysis. These disparities have been widened and applied to a wider range of disciplines in recent years.

    Researchers in this intriguing field of study explore the applications of these variations in applied sciences and also examine the existence and uniqueness of solutions to fractional differential equations. By employing K-fractional integrals, the authors in [28], proposed several generalizations of Ostrowski-type estimations.

    Definition 1.1. [29] Let s[0,1]. A real valued function :˘AR is called s-type convex on ˘A if

    (μϰ1+(1μ)ϰ2)(1s(1μ))(ϰ1)+(1sμ)(ϰ2),

    for all ϰ1,ϰ2˘A and μ[0,1].

    In [30], İşcan gave the definition of n-fractional polynomial convex functions as follows.

    Definition 1.2. Let nN. A non-negative function :˘ARR is called n-fractional polynomial convex (FPC) function if

    (μϰ1+(1μ)ϰ2)1nnu=1μ1u(ϰ1)+1nnu=1(1μ)1u(ϰ2),

    for all ϰ1,ϰ2˘A and μ[0,1].

    Note that, every non-negative convex function is an FPC function [30].

    Now, we demonstrate key concepts related to the fractional integral, primarily originating from the work of Mubeen et al. [31].

    Let α,R>0, ϰ1<ϰ2, and L[ϰ1,ϰ2]. Then, the K-fractional integrals of order α are given by

    α,Kϰ1(z)=1KΓK(α)zϰ1(zθ)αK1(θ)dθ (z>θ)

    and

    α,Kϰ2(z)=1KΓK(α)ϰ2z(ϰ2z)αK1(θ)dθ (z<θ),

    where ΓK(α) is the K-Gamma function [32] given by

    ΓK(α)=0μα1eμKKdμ.

    Recall that

    ΓK(K+α)=αΓK(α)

    and for K=1, the K-fractional integrals coincide with the RL-fractional integrals.

    Now, we recall the concepts of the Euler's Beta function β and hypergeometric function 2F1, respectively.

    β(ϰ,y)=Γ(ϰ)Γ(y)Γ(ϰ+y)=10μϰ1(1μ)y1dμ

    and

    2F1(a,b;c;τ)=1β(b,cb)μb1(1μ)cb1(1τμ)adμ,

    where Γ(ϰ)=0μα1eμdμ is the Euler Gamma function [33,34].

    Motivated by the aforementioned findings and existing literature, in Section 2, we will initially introduce the concept of a generalized n-fractional polynomial s-type convex function. Subsequently, in Section 3, we will establish a novel generalization of the H-H type inequality for the new class of functions. Moving forward to Section 4, we will obtain novel estimates for differentiable generalized n-fractional polynomial s-type convex functions. Notably, the results presented herein encompass RL-fractional integral inequalities and quadrature rules as special cases. The findings of our study prove beneficial in crafting fractals through iterative methodologies, an engaging research domain with implications for refining machine learning algorithms. Finally, Section 5 concludes with a brief conclusion.

    In this section, we introduce a new concept called the generalized n -fractional polynomial s-type convex function and explore its fundamental algebraic properties.

    Definition 2.1. Let nN, s[0,1], au0 (u=¯1,n) such that nu=1au>0, ˘AR be an interval. A non-negative function :˘ARR is called a generalized n-fractional polynomial s -type convex function if for every ϰ1,ϰ2˘A and μ[0,1],

    (μϰ1+(1μ)ϰ2)nu=1au(1s(1μ))1unu=1au(ϰ1)+nu=1au(1sμ)1unu=1au(ϰ2). (2.1)

    We denote the class of all generalized n-fractional polynomial s-type convex functions by GFPCs.

    Example 2.2. Consider the function (x)=x2, and the parameters s=0.5, n=2, a1=1, a2=2, and μ=0.5. According to Definition 2.1,

    (μκ1+(1μ)κ2)nu=1au(1s(1μ))1unu=1au(κ1)+nu=1au(1sμ)1unu=1au(κ2).

    For κ1=1 and κ2=3,

    (0.51+0.53)=(2)=22=4,
    nu=1au(10.5(10.5))1unu=1au(κ1)+nu=1au(10.50.5)1unu=1au(κ2)=1(10.25)1/1+2(10.25)1/2312+1(10.25)1/1+2(10.25)1/2332=0.75+20.866031+0.75+20.866039=0.75+1.73231+0.75+1.73239=2.48231+2.48239=0.82731+0.82739=0.8273+7.4457=8.273.

    So, one has

    48.273.

    According to Definition 1.2,

    (μκ1+(1μ)κ2)1nnu=1μ1u(κ1)+1nnu=1(1μ)1u(κ2).

    For κ1=1 and κ2=3,

    (0.51+0.53)=(2)=22=4,
    12(0.51(1)+0.512(1))+12(0.51(3)+0.512(3))=12(0.512+0.707112)+12(0.532+0.707132)=12(0.51+0.70711)+12(0.59+0.70719)=12(0.5+0.7071)+12(4.5+6.3639)=121.2071+1210.8639=0.60355+5.43195=6.0355.

    So, one gets

    46.0355.

    Because the generalized n-fractional polynomial s-type convexity (GFPCs) is a generalization of the n-fractional polynomial convexity (FPC), the resulting bounds extend those obtained for FPC.

    Note that every GFPCs is an h-convex function with

    h(μ)=nu=1au(1s(1μ))1unu=1au.

    Remark 2.3. For s=1, Definition 2.1 reduces to the definition of generalized n -fractional polynomial convex (GFPC) functions.

    Remark 2.4. For s=1 and au=1 (u=¯1,n), Definition 2.1 coincides with Definition 1.2.

    Remark 2.5. For s=1 and n=1, Definition 2.1 coincides with the definition of classical convexity.

    Remark 2.6. Every non-negative n-fractional polynomial convex function is a GFPCs function. It is clear from the inequalities

    1nnu=1μ1unu=1au(1s(1μ))1unu=1au

    and

    1nnu=1(1μ)1unu=1au(1sμ)1unu=1au,

    for all nN, s[0,1], and μ[0,1].

    Note that not every GFPCs function needs to be an FPC function.

    Remark 2.7. If is a GFPCs function, then is a non-negative function. Indeed, from the definition of GFPCs function, one can write

    (ν)=(μν+(1μ)ν)[nu=1au(1s(1μ))1unu=1au+nu=1au(1sμ)1unu=1au](ν),

    for all ν˘A and μ[0,1]. Therefore, one has

    [nu=1au(1s(1μ))1unu=1au+nu=1au(1sμ)1unu=1au1](ν)0.

    Since

    nu=1au(1s(1μ))1unu=1au+nu=1au(1sμ)1unu=1au1nnu=1μ1u+1nnu=1(1μ)1u1nnu=1μ+1nnu=1(1μ)=μ+(1μ)=1,

    for all μ[0,1], one obtains (ν)0 for all ν˘A.

    Now, we obtain a new generalization of H-H inequality for the GFPCs function .

    Theorem 3.1. Let nN, au0 (u=¯1,n), s[0,1], α[0,1],K>0, and :˘A=[ϰ1,ϰ2]R be a GFPCs function such that L[ϰ1,ϰ2]. Then,

    nu=1aunu=1au(1s2)1u(ϰ1+ϰ22)ΓK(K+α)(ϰ2ϰ1)αK[α,Kϰ+1(ϰ2)+α,Kϰ2(ϰ1)](ϰ2)+(ϰ1)nu=1au10nu=1auμαK1[(1s(1μ))1u+(1sμ)1u]dμ. (3.1)

    Proof. From the definition of the GFPCs function, one obtains

    (ϰ1+ϰ22)=((μϰ1+(1μ)ϰ2)+[(1μ)ϰ1+μϰ2]2)=(12(μϰ1+(1μ)ϰ2)+12((1μ)ϰ1+μϰ2))nu=1au(1s2)1unu=1au[(μϰ1+(1μ)ϰ2)+((1μ)ϰ1+μϰ2)].

    Multiplying both sides of the above inequality by μαK1 and taking the integral with respect to μ[0,1], one gets

    (ϰ1+ϰ22)10μαK1dμnu=1au(1s2)1unu=1au[10μαK1(μϰ1+(1μ)ϰ2)dμ+10μαK1((1μ)ϰ1+μϰ2)dμ]nu=1au(1s2)1unu=1au1(ϰ2ϰ1)αK[ϰ2ϰ1(ωϰ1ϰ2ϰ1)αK1(ω)dω+ϰ2ϰ1(ϰ2ωϰ2ϰ1)αK1(ω)dω]nu=1au(1s2)1unu=1auKΓK(α)(ϰ2ϰ1)αK[α,Kϰ+1(ϰ2)+α,Kϰ2(ϰ1)].

    So, one has

    nu=1aunu=1au(1s2)1u(ϰ1+ϰ22)ΓR(R+α)(ϰ2ϰ1)αR[α,Rϰ+1(ϰ2)+α,Rϰ2(ϰ1)],

    which completes the left-hand side of inequality (3.1). Now, we prove the right-hand side of inequality (3.1). Let μ[0,1]. From the definition of the GFPCs function, one obtains

    (μϰ1+(1μ)ϰ2)nu=1au(1s(1μ))1unu=1au(ϰ1)+nu=1au(1sμ)1unu=1au(ϰ2)

    and

    ((1μ)ϰ1+μϰ2)nu=1au(1s(1μ))1unu=1au(ϰ2)+nu=1au(1sμ)1unu=1au(ϰ1).

    Adding the above inequalities, one gets

    (μϰ1+(1μ)ϰ2)+((1μ)ϰ1+μϰ2)[(ϰ1)+(ϰ2)](nu=1au(1s(1μ))1unu=1au+nu=1au(1sμ)1unu=1au).

    Multiplying both sides of the above inequality by μαK1, taking the integral with respect to μ[0,1], and changing the variable of integration, one obtains

    ΓK(K+α)(ϰ2ϰ1)αR[α,Kϰ+1(ϰ2)+α,Kϰ2(ϰ1)](ϰ2)+(ϰ1)nu=1au10nu=1auμαK1[(1s(1μ))1u+(1sμ)1u]dμ.

    This completes the proof.

    Corollary 3.2. If one takes s=1 in Theorem 3.1, one gets the H-H inequality for GFPC functions with K-fractional integral operators:

    nu=1aunu=1au(12)1u(ϰ1+ϰ22)ΓK(K+α)(ϰ2ϰ1)αK[α,Kϰ+1(ϰ2)+α,Kϰ2(ϰ1)](ϰ2)+(ϰ1)nu=1aunu=1au10μαK1[μ1u+(1μ)1u]dμ.

    Corollary 3.3. If one takes K=1 in Corollary 3.2, one gets H-H inequality for GFPC functions with RL-fractional integral operators:

    nu=1aunu=1au(12)1u(ϰ1+ϰ22)Γ(α+1)(ϰ2ϰ1)α[αϰ+1(ϰ2)+αϰ2(ϰ1)](ϰ2)+(ϰ1)nu=1aunu=1au10μα1[μ1u+(1μ)1u]dμ.

    Remark 3.4. If one takes α=1 and n=1 in Corollary 3.3, then one gets the inequality (1.1).

    In this section, we find novel estimates that refine the Ostrowski-type inequalities for the functions whose first and second derivatives in absolute value at certain powers are GFPCs. First, we give the following crucial lemma [35]:

    Lemma 4.1. Let α[0,1], K>0, ϰ1<ϰ2, and :[0,1]R be a differentiable function on ˘A such that L[ϰ1,ϰ2]. Then,

    (νϰ1)αK+(ϰ2ν)αKϰ2ϰ1(ν)ΓK(K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]=(νϰ1)αK+1ϰ2ϰ110μαK(μν+(1μ)ϰ1)dμ(ϰ2ν)αK+1ϰ2ϰ110μαK(μν+(1μ)ϰ2)dμ.

    Theorem 4.2. Let nN, au0 (u=¯1,n), s[0,1], α,K>0, ϰ1<ϰ2, and :˘A=[ϰ1,ϰ2]R be a differentiable function on ˘A such that L[ϰ1,ϰ2]. Let |(ν)| be a GFPCs function on ˘A with |(ν)|S for all ν[ϰ1,ϰ2]. Then,

    |(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1(ν)ΓK(K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|[(νϰ1)αK+1+(ϰ2ν)αK+1ϰ2ϰ1]Snu=1aunu=1au[10μαK(1s(1μ))1udμ+10μαK(1sμ)1udμ].

    Proof. Using Lemma 4.1 and a property of the GFPCs function ||, one has

    |(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1(ν)ΓK(K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|(νϰ1)αK+1ϰ2ϰ110μαK|(μν+(1μ)ϰ1)|dμ+(ϰ2ν)αK+1ϰ2ϰ110μαK|(μν+(1μ)ϰ2)|dμ(νϰ1)αK+1ϰ2ϰ110μαK[nu=1au(1s(1μ))1unu=1au|(ν)|+nu=1au(1sμ)1unu=1au|(ϰ1)|]dμ+(ϰ2ν)αK+1ϰ2ϰ110μαK[nu=1au(1s(1μ))1unu=1au|(ν)|+nu=1au(1sμ)1unu=1au|(ϰ2)|]dμ[(νϰ1)αK+1+(ϰ2ν)αK+1ϰ2ϰ1]Snu=1aunu=1au[10μαK(1s(1μ))1udμ+10μαK(1sμ)1udμ].

    Corollary 4.3. If one takes s=1 in Theorem 3.1, one gets the following inequality for GFPC functions with K-fractional integral operators:

    |(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1(ν)ΓK(K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|[(νϰ1)αK+1+(ϰ2ν)αK+1ϰ2ϰ1]Snu=1aunu=1au[10μαKμ1udμ+10μαK(1μ)1udμ].

    Corollary 4.4. If one takes K=1 in Corollary 4.3, one gets the following inequality for GFPC functions with RL-integral operators:

    |(νϰ1)α+(ϰ2ν)αϰ2ϰ1(ν)Γ(α+1)ϰ2ϰ1[αν(ϰ1)+αν+(ϰ2)]|[(νϰ1)α+1+(ϰ2ν)α+1ϰ2ϰ1]Snu=1aunu=1au[10μαμ1udμ+10μα(1μ)1udμ].

    Remark 4.5. If one takes α=1 and n=1 in Corollary 4.4, then one gets inequality (1.2).

    Theorem 4.6. Let nN, au0 (u=¯1,n), s[0,1], α,K>0, ϰ1<ϰ2, q>1, and :˘A=[ϰ1,ϰ2]R be a differentiable function on ˘A such that L[ϰ1,ϰ2]. Let |(ν)|q be a GFPCs function on ˘A with |(ν)|S for all ν[ϰ1,ϰ2]. Then,

    |(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1(ν)ΓK(K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|(KK+α)11q[(νϰ1)αK+1+(ϰ2ν)αK+1ϰ2ϰ1]×(Sqnu=1aunu=1au[10μαK(1s(1μ))1udμ+10μαK(1sμ)1udμ])1q.

    Proof. Using Lemma 4.1, a property of the GFPCs function ||q, and the power mean inequality, one has

    |(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1(ν)ΓK(K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|(νϰ1)αK+1ϰ2ϰ110μαK|(μν+(1μ)ϰ1)|dμ+(ϰ2ν)αK+1ϰ2ϰ110μαK|(μν+(1μ)ϰ2)|dμ(νϰ1)αK+1ϰ2ϰ1(10μαKdμ)11q(10μαK|(μν+(1μ)ϰ1)|qdμ)1q+(ϰ2ν)αK+1ϰ2ϰ1(10μαKdμ)11q(10μαK|(μν+(1μ)ϰ2)|qdμ)1q(KK+α)11q[(νϰ1)αK+1ϰ2ϰ1(nu=1au10μαK(1s(1μ))1unu=1au|(ν)|qdμ+nu=1au10μαK(1sμ)1unu=1au|(ϰ1)|qdμ)1q+(ϰ2ν)αK+1ϰ2ϰ1(nu=1au10μαK(1s(1μ))1unu=1au|(ν)|qdμ+nu=1au10μαK(1sμ)1unu=1au|(ϰ2)|qdμ)1q](KK+α)11q[(νϰ1)αK+1+(ϰ2ν)αK+1ϰ2ϰ1]×(Sqnu=1aunu=1au[10μαK(1s(1μ))1udμ+10μαK(1sμ)1udμ])1q.

    Thus, the proof is completed.

    Corollary 4.7. If one takes s=1 in Theorem 4.6, one gets the following inequality for GFPC functions with K-fractional integral operators:

    |(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1(ν)ΓK(K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|(KK+α)11q[(νϰ1)αK+1+(ϰ2ν)αK+1ϰ2ϰ1](Sqnu=1aunu=1au[10μαKμ1udμ+10μαK(1μ)1udμ])1q.

    Corollary 4.8. If one takes K=1 in Corollary 4.7, one gets the following inequality for GFPC functions with RL-integral operators:

    |(νϰ1)α+(ϰ2ν)αϰ2ϰ1(ν)Γ(α)ϰ2ϰ1[αν(ϰ1)+αν+(ϰ2)]|(1α+1)11q[(νϰ1)α+1+(ϰ2ν)α+1ϰ2ϰ1](Sqnu=1aunu=1au[10μαμ1udμ+10μα(1μ)1udμ])1q.

    Theorem 4.9. Let nN, au0 (u=¯1,n), s[0,1], α,K>0, ϰ1<ϰ2, t,q>1 with 1t+1q=1, and :˘A=[ϰ1,ϰ2]R be a differentiable function on ˘A such that L[ϰ1,ϰ2]. Let |(ν)|q be a GFPCs function on ˘A with |(ν)|S for all ν[ϰ1,ϰ2]. Then,

    |(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1(ν)ΓK(K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|(KK+αt)1t[(νϰ1)αK+1+(ϰ2ν)αK+1ϰ2ϰ1]×(Sqnu=1aunu=1au[10(1s(1μ))1udμ+10(1sμ)1udμ])1q.

    Proof. Using Lemma 4.1, a property of the GFPCs function ||q, and the Hölder inequality, one has

    |(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1(ν)ΓK(K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|(νϰ1)αK+1ϰ2ϰ110μαK|(μν+(1μ)ϰ1)|dμ+(ϰ2ν)αK+1ϰ2ϰ110μαK|(μν+(1μ)ϰ2)|dμ(νϰ1)αK+1ϰ2ϰ1(10μtαKdμ)1t(10|(μν+(1μ)ϰ1)|qdμ)1q+(ϰ2ν)αR+1ϰ2ϰ1(10μtαKdμ)1t(10|(μν+(1μ)ϰ2)|qdμ)1q(KK+αt)1t[(νϰ1)αK+1ϰ2ϰ1(nu=1au10(1s(1μ))1unu=1au|(ν)|qdμ+nu=1au10(1sμ)1unu=1au|(ϰ1)|qdμ)1q+(ϰ2ν)αK+1ϰ2ϰ1(nu=1αu10(1s(1μ))1unu=1au|(ν)|qdμ+nu=1au10(1sμ)1unu=1au|(ϰ2)|qdμ)1q](KK+αt)1t[(νϰ1)αK+1+(ϰ2ν)αK+1ϰ2ϰ1]×(Sqnu=1aunu=1au[10(1s(1μ))1udμ+10(1sμ)1udμ])1q.

    Corollary 4.10. If one takes s=1 in Theorem 4.9, one gets the following inequality for GFPC functions with K-fractional integral operators:

    |(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1(ν)ΓK(K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|(KK+αt)1t[(νϰ1)αK+1+(ϰ2ν)αK+1ϰ2ϰ1](Sqnu=1aunu=1au(2uu+1))1q.

    Corollary 4.11. If one takes K=1 in Corollary 4.10, one gets the following inequality for GFPC functions with RL-integral operators:

    |(νϰ1)α+(ϰ2ν)αϰ2ϰ1(ν)Γ(α)ϰ2ϰ1[αν(ϰ1)+αν+(ϰ2)]|(1αt+1)1t[(νϰ1)α+1+(ϰ2ν)α+1ϰ2ϰ1](Sqnu=1aunu=1au(2uu+1))1q.

    Now, we establish new Ostrowski type inequalities for twice differentiable functions. First, we give the following lemma, which will be used in what follows [36].

    Lemma 4.12. Let α,K>0, ϰ1<ϰ2, ˘A=[ϰ1,ϰ2], and :˘AR be a twice differentiable function on ˘A such that L[ϰ1,ϰ2]. Then,

    (1κ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+(1+αKκ)[(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1](ν)+κ[(νϰ1)αK(ϰ2)+(ϰ2ν)αK(ϰ1)ϰ2ϰ1]ΓK(2K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]=(νϰ1)αK+2ϰ2ϰ110μ(κμαK)(μν+(1μ)ϰ1)dμ+(ϰ2ν)αK+2ϰ2ϰ110μ(κμαK)(μν+(1μ)ϰ2)dμ,

    holds for all ν[ϰ1,ϰ2] and κ[0,1].

    Theorem 4.13. Let nN, au0 (u=¯1,n), s[0,1], α,K>0, ϰ1<ϰ2, and :˘A=[ϰ1,ϰ2]R be a twice differentiable function on ˘A such that L[ϰ1,ϰ2]. Let |(ν)| be a GFPCs function on ˘A. Then,

    |(1κ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+(1+αKκ)[(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1](ν)+κ[(νϰ1)αK(ϰ1)+(ϰ2ν)αK(ϰ2)ϰ2ϰ1]ΓK(2K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|[(νϰ1)αK+2|(ϰ1)|+(ϰ2ν)αK+2|(ϰ2)|ϰ2ϰ1]1nu=1aunu=1αu10μ(κμαK)(1sμ)1udμ+(νϰ1)αK+2+(ϰ2ν)αK+2nu=1au(ϰ2ϰ1)|(ν)|nu=1au10μ(κμαK)(1s(1μ))1udμ.

    Proof. Using Lemma 4.12, a property of the GFPCs function ||, and the property of modulus, one has

    |(1κ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+(1+αKκ)[(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1](ν)+κ[(νϰ1)αK(ϰ1)+(ϰ2ν)αK(ϰ2)ϰ2ϰ1]ΓK(2K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|(νϰ1)αK+2ϰ2ϰ110μ(κμαK)|(μν+(1μ)ϰ1)|dμ+(ϰ2ν)αK+2ϰ2ϰ110μ(κμαK)|(μν+(1μ)ϰ2)|dμ(νϰ1)αK+2ϰ2ϰ110μ(κμαK)[nu=1au(1sμ)1unu=1au|(ϰ1)|+nu=1au(1s(1μ))1unu=1au|(ν)|]dμ+(ϰ2ν)αK+2ϰ2ϰ110μ(κμαK)[nu=1au(1sμ)1unu=1au|(ϰ2)|+nu=1au(1s(1μ))1unu=1au|(ν)|]dμ=[(νϰ1)αK+2|(ϰ1)|+(ϰ2ν)αK+2|(ϰ2)|ϰ2ϰ1]1nu=1aunu=1au10μ(κμαK)(1sμ)1udμ+(νϰ1)αK+2+(ϰ2ν)αK+2nu=1au(ϰ2ϰ1)|(ν)|nu=1au10μ(κμαK)(1s(1μ))1udμ.

    So, the proof is completed.

    Corollary 4.14. If one takes s=1 in Theorem 4.13, one gets the following inequality for GFPC functions with K-fractional integral operators:

    |(1κ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+(1+αKκ)[(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1](ν)+κ[(νϰ1)αK(ϰ1)+(ϰ2ν)αK(ϰ2)ϰ2ϰ1]ΓK(2K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|[(νϰ1)αK+2|(ϰ1)|+(ϰ2ν)αK+2|(ϰ2)|ϰ2ϰ1]1nu=1aunu=1αu10μ(κμαK)(1μ)1udμ+(νϰ1)αK+2+(ϰ2ν)αK+2nu=1au(ϰ2ϰ1)|(ν)|nu=1au10(κμαK)μ1+1udμ.

    Corollary 4.15. If one takes K=1 in Corollary 4.14, one gets the following inequality for GFPC functions with RL-integral operators:

    |(1κ)[(ϰ2ν)α(νϰ1)αϰ2ϰ1](ν)+(1+ακ)[(νϰ1)α+(ϰ2ν)αϰ2ϰ1](ν)+κ[(νϰ1)α(ϰ1)+(ϰ2ν)α(ϰ2)ϰ2ϰ1]Γ(2+α)ϰ2ϰ1[αν(ϰ1)+αν+(ϰ2)]|[(νϰ1)α+2|(ϰ1)|+(ϰ2ν)α+2|(ϰ2)|ϰ2ϰ1]1nu=1aunu=1au10μ(κμα)(1μ)1udμ+(νϰ1)α+2+(ϰ2ν)α+2nu=1au(ϰ2ϰ1)|(ν)|nu=1au10(κμα)μ1+1udμ.

    Theorem 4.16. Let nN, au0 (u=¯1,n), s[0,1], α,K>0, ϰ1<ϰ2, q>1, and :˘A=[ϰ1,ϰ2]R be a twice differentiable function on ˘A such that L[ϰ1,ϰ2]. Let |(ν)|q be a GFPCs function on ˘A. Then for every ν[ϰ1,ϰ2], one has

    (1κ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+(1+αKκ)[(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1](ν)+κ[(νϰ1)αK(ϰ1)+(ϰ2ν)αK(ϰ2)ϰ2ϰ1]ΓK(2K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]M11q(α,K,κ)×[(νϰ1)αK+2ϰ2ϰ1(10μ(κμαK)[nu=1au(1sμ)1unu=1au|(ϰ1)|q+nu=1au(1s(1μ))1unu=1au|(ν)|q]dμ)1q+(ϰ2ν)αK+2ϰ2ϰ1(10μ(κμαK)[nu=1au(1sμ)1unu=1au|(ϰ2)|q+nu=1au(1s(1μ))1unu=1au|(ν)|q]dμ)1q],

    where

    M(α,K,κ)=10[μ(κμαK)]qdμ=KκK(1+q)+αqαα[Γ(1+q)Γ(R(1+q)+αα)2F1(1,1+q,2+q+K(1+q)α,1))+β(1+q,R(1+q)+αqα)β(κ,1+q,K(1+q)+αqα).

    Proof. Using Lemma 4.12, a property of the GFPCs function ||q, and the power mean inequality, one has

    |(1κ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+(1+αKκ)[(νϰ1)αK+(ϰ2ν)αKϰ2ϰ1](ν)+κ[(ϰ2ν)αK(ϰ1)(νϰ1)αK(ϰ2)ϰ2ϰ1]ΓK(2K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|(νϰ1)αK+2ϰ2ϰ110|μ(κμαK)||(μν+(1μ)ϰ1)|dμ+(ϰ2ν)αK+2ϰ2ϰ110|μ(κμαK)||(μν+(1μ)ϰ2)|dμ(10μq(κμαK)qdμ)1q×[(νϰ1)αK+2ϰ2ϰ1(10μ(κμαK)[nu=1au(1sμ)1unu=1au|(ϰ1)|q+nu=1au(1s(1μ))1unu=1au|(ν)|q]dμ)1q+(ϰ2ν)αK+2ϰ2ϰ1(10μ(κμαK)[nu=1au(1sμ)1unu=1au|(ϰ2)|q+nu=1au(1s(1μ))1unu=1au|(ν)|q]dμ)1q]=M11q(α,K,κ)×[(νϰ1)αK+2ϰ2ϰ1(10μ(κμαK)[nu=1au(1sμ)1unu=1au|(ϰ1)|q+nu=1au(1s(1μ))1unu=1au|(ν)|q]dμ)1q+(ϰ2ν)αK+2ϰ2ϰ1(10μ(κμαK)[nu=1au(1sμ)1unu=1au|(ϰ2)|q+nu=1au(1s(1μ))1unu=1au|(ν)|q]dμ)1q].

    Corollary 4.17. If one takes s=1 in Theorem 4.16, one gets the following inequality for generalized n-fractional polynomial convex functions with K-fractional integral operators:

    (1κ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+(1+αKκ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+κ[(ϰ2ν)αK(ϰ1)(νϰ1)αK(ϰ2)ϰ2ϰ1]+ΓK(2K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]M11q(α,K,κ)×[(νϰ1)αK+2ϰ2ϰ1(10μ(κμαK)[nu=1au(1μ)1unu=1au|(ϰ1)|q+nu=1a1uuμ1unu=1au|(ν)|q]dμ)1q+(ϰ2ν)αK+2ϰ2ϰ1(10μ(κμαK)[nu=1au(1μ)1unu=1au|(ϰ2)|q+nu=1auμ1unu=1au|(ν)|q]dμ)1q],

    for all ν[ϰ1,ϰ2], where

    M(α,K,κ)=10[μ(κμαK)]qdμ=KκK(1+q)+αqαα[Γ(1+q)Γ(R(1+q)+αα)2F1(1,1+q,2+q+R(1+q)α,1)+β(1+q,R(1+q)+ααq)β(κ,1+q,R(1+q)+ααq)].

    Corollary 4.18. If one takes K=1 in Corollary 4.17, one gets the following inequality for GFPC functions with RL-integral operators:

    (1κ)[(ϰ2ν)α(νϰ1)αϰ2ϰ1](ν)+(1+ακ)[(ϰ2ν)α(νϰ1)αϰ2ϰ1](ν)+κ[(ϰ2ν)α(ϰ1)(νϰ1)α(ϰ2)ϰ2ϰ1]+Γ(2+α)ϰ2ϰ1[αν(ϰ1)+αν+(ϰ2)]M11q(α,κ)×[(νϰ1)α+2ϰ2ϰ1(10μ(κμα)[nu=1au(1μ)1unu=1au|(ϰ1)|q+nu=1a1uuμ1unu=1au|(ν)|q]dμ)1q+(ϰ2ν)α+2ϰ2ϰ1(10μ(κμα)[nu=1au(1μ)1unu=1au|(ϰ2)|q+nu=1auμ1unu=1au|(ν)|q]dμ)1q],

    for all ν[ϰ1,ϰ2], where

    M(α,κ)=10[μ(κμα)]qdμ=κ(1+q)+αqαα[Γ(1+q)Γ(1+q+αα)2F1(1,1+q,2+q+1+qα,1)+β(1+q,1+q+ααq)β(κ,1+q,1+q+ααq)].

    Theorem 4.19. Let nN, au0 (u=¯1,n), s[0,1], α,K>0, ϰ1<ϰ2, t,q>1 with 1t+1q=1, and :˘A=[ϰ1,ϰ2]R be a twice differentiable function on ˘A such that L[ϰ1,ϰ2]. Let |(ν)|q be a GFPCs function on ˘A. Then

    (1κ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+(1+αKκ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+κ[(ϰ2ν)αK(ϰ1)(νϰ1)αK(ϰ2)ϰ2ϰ1]+ΓK(2K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]M1t(α,K,κ)×[(νϰ1)αK+2ϰ2ϰ1(1nu=1aunu=1au10[(1sμ)1u|(ϰ1)|q+(1s(1μ))1u|(ν)|q]dμ)1q+(ϰ2ν)αK+2ϰ2ϰ1(1nu=1aunu=1au10[(1sμ)1u|(ϰ2)|q+(1s(1μ))1u|(ν)|q]dμ)1q].

    Proof. Using Lemma 4.12, a property of the GFPCs function ||q, and the Hölder inequality, one has

    |(1κ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+(1+αKκ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+κ[(ϰ2ν)αK(ϰ1)(νϰ1)αK(ϰ2)ϰ2ϰ1]ΓK(2K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|(νϰ1)αK+2ϰ2ϰ110μ(κμαK)|(μν+(1μ)ϰ1)|dμ+(ϰ2ν)αK+2ϰ2ϰ110μ(κμαK)|(μν+(1μ)ϰ2)|dμ(10|μ(κμαK)|tdμ)1t×[(νϰ1)αK+2ϰ2ϰ1(10[nu=1au(1sμ)1unu=1au|(ϰ1)|q+nu=1au(1s(1μ))1unu=1au|(ν)|q]dμ)1q+(ϰ2ν)αK+2ϰ2ϰ1(10[nu=1au(1sμ)1unu=1au|(ϰ2)|q+nu=1au(1s(1μ))1unu=1au|(ν)|q]dμ)1q]=M1t(α,K,κ)×[(νϰ1)αK+2ϰ2ϰ1(1nu=1aunu=1au10[(1sμ)1u|(ϰ1)|q+(1s(1μ))1u|(ν)|q]dμ)1q+(ϰ2ν)αK+2ϰ2ϰ1(1nu=1aunu=1au10[(1sμ)1u|(ϰ2)|q+(1s(1μ))1u|(ν)|q]dμ)1q].

    Corollary 4.20. If one takes s=1 in Theorem 4.19, one gets the following inequality for GFPC functions with K-fractional integral operators:

    |(1κ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+(1+αKκ)[(ϰ2ν)αK(νϰ1)αKϰ2ϰ1](ν)+κ[(ϰ2ν)αK(ϰ1)(νϰ1)αK(ϰ2)ϰ2ϰ1]ΓK(2K+α)ϰ2ϰ1[α,Kν(ϰ1)+α,Kν+(ϰ2)]|M1t(α,R,κ)×[(νϰ1)αK+2ϰ2ϰ1(1nu=1aunu=1au10[(1μ)1u|(ϰ1)|q+μ1u|(ν)|q]dμ)1q+(ϰ2ν)αK+2ϰ2ϰ1(1nu=1aunu=1au10[(1μ)1u|(ϰ2)|q+μ1u|(ν)|q]dμ)1q].

    Corollary 4.21. If one takes K=1 in Corollary 4.20, one gets the following inequality for GFPC functions with RL-integral operators:

    |(1κ)[(ϰ2ν)α(νϰ1)αϰ2ϰ1](ν)+(1+ακ)[(ϰ2ν)α(νϰ1)αϰ2ϰ1](ν)+κ[(ϰ2ν)α(ϰ1)(νϰ1)α(ϰ2)ϰ2ϰ1]Γ(2+α)ϰ2ϰ1[αν(ϰ1)+αν+(ϰ2)]|M1t(α,κ)×[(νϰ1)α+2ϰ2ϰ1(1nu=1aunu=1au10[(1μ)1u|(ϰ1)|q+μ1u|(ν)|q]dμ)1q+(ϰ2ν)α+2ϰ2ϰ1(1nu=1aunu=1au10[(1μ)1u|(ϰ2)|q+μ1u|(ν)|q]dμ)1q].

    We introduced the concept of n-fractional polynomial s-type convex functions and investigated their related properties. Algebraic relationships between such functions and other kinds of convex functions were explored. Several novel variants of the well known H-H and Ostrowski-type inequalities were established using the newly defined class of functions and K-fractional integral operators. Considering the introduced class and employing fractional operators, we have derived new refinements of the Ostrowski-type inequalities. Several special cases of our results were discussed. For some special cases, the definition and results of generalized n-fractional polynomial s-type convex functions reduce to a novel definition and new results for the class of convex functions, called generalized n-fractional polynomial convex functions. The results obtained from the future plan are even more exhilarating compared to the results available in the literature.

    Serap Özcan: Conceptualization, Formal Analysis, Investigation, Writing-Original Draft, Writing-Review & Editing, Supervision; Saad Ihsan Butt: Conceptualization, Formal Analysis, Investigation, Methodology, Writing-Original Draft, Writing-Review & Editing, Supervision; Sanja Tipurić-Spužević: Conceptualization, Formal Analysis, Methodology, Software, Writing-Review & Editing, Funding Acquisition; Bandar Bin Mohsin: Conceptualization, Formal Analysis, Software, Writing-Review & Editing. All authors have read and approved the final version of the manuscript for publication.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    This research is supported by Researcher Supporting Project number (RSP2024R158), King Saud University, Riyadh, Saudi Arabia.

    All authors declare no conflicts of interest in this paper.



    [1] De Vecchis G (2011) A scuola senza geografia? Rome: Carocci.
    [2] De Vecchis G (2014) The fight for geography in the Italian Schools (2010–2014): an updating. J Res Didact Geogr 2: 5–8. https://doi.org/10.4458/4403-01 doi: 10.4458/4403-01
    [3] Gulisano S (2010) Un taglio al futuro. L'istruzione ai tempi della Gelmini. Rome: Editori Internazionali Riuniti.
    [4] Santus D (2016) Se l'Algeria è un'isola e la Svizzera confina con la Grecia… ovvero della nostra percezione del mondo. Sappiamo ancora disegnare la Terra? Geografia, didattica, ambiente. Turin: Libreria Stampatori, 5–14.
    [5] Coyle CL, Vaughn H (2008) Social networking: communication revolution or evolution? Bell Labs Tech J 13: 13–17. https://doi.org/10.1002/bltj.20298 doi: 10.1002/bltj.20298
    [6] Castells M (2002) Galassia Internet. Milan: Feltrinelli Editore.
    [7] Nandagiri V, Philip L (2018) Impact of Influencers from Instagram and YouTube on their Followers. Int J Multidiscip Res Mod Educ 4: 61–65. https://doi.org/10.5281/zenodo.1207039 doi: 10.5281/zenodo.1207039
    [8] Haenlein M, Anadol E, Farnsworth T, et al. (2020) Navigating the New Era of Influencer Marketing: How to be Successful on Instagram, TikTok, & Co. Calif Manage Rev 63: 5–25. https://doi.org/10.1177/0008125620958166 doi: 10.1177/0008125620958166
    [9] Welsh KE, France D, Whalley WB, et al. (2012) Geotagging Photographs in Student Fieldwork. J Geogr Higher Educ 36: 469–480. https://doi.org/10.1080/03098265.2011.647307 doi: 10.1080/03098265.2011.647307
    [10] Patterson TC (2007) Google Earth as a (Not Just) Geography Education Tools. J Geogr 106: 145–152. https://doi.org/10.1080/00221340701678032 doi: 10.1080/00221340701678032
    [11] Solem M, Gersmehl P (2005) Online Global Geography Modules Enhance Undergraduate Learning. AAG Newsl 40: 11.
    [12] Hanan H, Putit N (2013) Express marketing of tourism destinations using Instagram in social media networking. Hospitality and Tourism. London: Taylor and Francis Group, 471–474. https://doi.org/10.1201/b16064-93
    [13] Halliwell J (2020) Applying Social Media Research Methods in Geography Teaching: Benefits and Emerging Challenges? J Geogr 119: 108–113. https://doi.org/10.1080/00221341.2020.1755717 doi: 10.1080/00221341.2020.1755717
    [14] Haslett SK (2009) Prior use of Google Earth by undergraduate geography students. Planet 22: 43–47. https://doi.org/10.11120/plan.2009.00220043 doi: 10.11120/plan.2009.00220043
    [15] Hagge P (2021) Student Perceptions of Semester-Long In-Class Virtual Reality: Effectively Using "Google Earth VR" in a Higher Education Classroom. J Geogr Higher Educ 45: 342–360. https://doi.org/10.1080/03098265.2020.1827376 doi: 10.1080/03098265.2020.1827376
    [16] Simm D, Marvell A, Mellor A (2021) Teaching "wicked" problems in geography. J Geogr Higher Educ 45: 479–490. https://doi.org/10.1080/03098265.2021.1956883 doi: 10.1080/03098265.2021.1956883
    [17] Overby K (2011) Student-Centered Learning. ESSAI 9: 109–112. Available from: https://dc.cod.edu/essai/vol9/iss1/32.
    [18] Keyser MW (2000) Active learning and cooperative learning: understanding the difference and using both styles effectively. Res Strategies 17: 35–44 https://doi.org/10.1016/S0734-3310(00)00022-7 doi: 10.1016/S0734-3310(00)00022-7
    [19] Benson B (1997) Scaffolding (Coming to Terms). Engl J 86: 126–127. https://doi.org/10.2307/819879 doi: 10.2307/819879
    [20] Omaggio Hadley A (2000) Teaching Language in Context. Boston: Cengage Heinle.
    [21] Cozzarelli JM (2020) Sentieri. Attraverso l'Italia contemporanea. Boston: VHL.
    [22] Lynch K (2006) L'immagine della città. Venice: Marsilio.
    [23] Frémont A (2007) Vi piace la geografia? Rome: Carocci.
    [24] Fitzner Z (2019) Is American geography illiteracy a security threat? Earth.com Nature, Science, Life. Available from: https://www.earth.com/news/american-geographic-illiteracy-security-threat/.
    [25] García-González JA, Gómez-Gonç alves A, Gómez-Trigueros IM, et al. (2021) Geography literacy in Spain with mental maps. J Geogr Higher Educ, 1–21. https://doi.org/10.1080/03098265.2021.2001643 doi: 10.1080/03098265.2021.2001643
    [26] Rajeshwari M, Vinayachandra GPK, Krishna Prasad K (2021) An Analysis into the Contribution of Google Applications in the Successful Implementation of Online Education During the COVID-19 Pandemic. Int J Appl Eng Manage Lett 5: 131–152. https://doi.org/10.47992/IJAEML.2581.7000.0098 doi: 10.47992/IJAEML.2581.7000.0098
    [27] Giorda C, Puttilli M (2011) Educare al territorio, educare il territorio. Geografia per la formazione. Rome: Carocci.
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    2. S. N. A. M. Abidin, N. A. Jaafar, Z. Ismail, Exact Analysis of Unsteady Solute Dispersion in Blood Flow: A Theoretical Study, 2023, 17, 1823-8343, 349, 10.47836/mjms.17.3.07
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