Abstract
In 1994, Dobrynin and Kochetova introduced the concept of degree distance of a connected graph . Let be the Steiner k-distance of . The Steiner Wiener k-index or k-center Steiner Wiener index of is defined by The k-center Steiner degree distance of a connected graph is defined by , where is the degree of the vertex v in . In this paper, we consider the Nordhaus–Gaddum-type results for and . Upper bounds on and are obtained for a connected graph and compared with previous bounds. We present sharp upper and lower bounds of and for a connected graph of order n with maximum degree and minimum degree . Some graph classes attaining these bounds are also given.
Keywords:
distance; Steiner distance; degree distance; Steiner Wiener k-index; k-center Steiner degree distance; Nordhaus–Gaddum-type result MSC:
05C07; 05C90
1. Introduction
In this paper, all the graphs are simple and connected. We refer to [] for graph theoretical notation and terminology not described here. For a graph , let , , and denote the set of vertices, the set of edges, the complement and the size of , respectively. Let be the degree of the vertex . The maximum degree of a vertex in is denoted by , and the minimum degree of a vertex in is denoted by . For a graph with , the distance between u and v is the length of a shortest path connecting u and v. The eccentricity of v is defined by . Furthermore, the diameter of is defined by .
The Wiener index is one of the oldest and most thoroughly studied distance-based molecular structure-descriptors (so called “topological indices”). The Wiener index of is defined by
The primary examinations of this distance-based graph invariant were made by Harold Wiener [] in 1947. He recognized a correlations between the boiling point and molecular structure of paraffins; we refer to [,,]. For the mathematical properties of the Wiener index, we refer to the surveys [,,,], the recent papers [,,,,,,,,,] and the references cited therein. The Wiener index can be used for the representation of computer networks and enhancing lattice hardware security. For more variants and other versions of the Wiener index, see [,,].
Dobrynin and Kochetova [] introduced the degree distance of a graph , and is defined as
where is the degree of the vertex , and is the distance between the vertices . For mathematical properties on degree distance, we refer to [,,,,] and the references cited therein.
In 1989, Chartrand et al. [] introduced the Steiner distance of a graph. For a graph and a set , an S-Steiner tree or a Steiner tree connecting S (or simply, an S-tree) is a such subgraph of that is a tree with . Then the Steiner distance among the vertices of S (or simply the distance of S) is the minimum size of a connected subgraphs whose vertex set contains S. Please note that if H is a connected subgraph of such that and , then H is a tree. Clearly, , where T is subtree of . Clearly, if , then . The Steiner k-eccentricity of a vertex v of is defined by , where n, k are positive integers with . The Steiner k-diameter of is . For more details on Steiner distance, we refer to [,,,,,,].
Li et al. [] introduced the Steiner Wiener k-index or k-center Steiner Wiener index of and is defined as
For more details on the Steiner Wiener index, we refer to [,,].
Recently, Gutman [] introduced the k-center Steiner degree distance of graph , and is defined as
For the mathematical properties of different Steiner degree distances, see [,,]. Let denote the class of connected graphs of order n and the subclass of with m edges. Let denote the class of connected graphs of order n with the connected complement. Given a graph theoretic parameter and a positive integer n, the Nordhaus–Gaddum problem is to determine sharp bounds for: and , where , and characterize the extremal graphs. The Nordhaus-Gaddum-type relationships have received wide investigations. In 2013, Aouchiche and Hansen published a survey paper on this subject; see [].
The structure of the paper is as follows. In Section 2, we give bounds on and . In Section 3, we present upper bounds on and . In Section 4, we obtain sharp upper and lower bounds of and for . In Section 5, we investigate some results on and for and n. Some graph classes attaining these bounds are also given. In Section 6, we will discuss the application of combinatorial thinking on this research. Future work will be shown in Section 7.
2. Nordhaus–Gaddum-Type Results for Degree Distance
In [], Zhang and Wu studied the Nordhaus–Gaddum problem for the Wiener index.
Lemma 1
([]). Let . Then
Remark 1.
In [], Zhang and Wu proved the lower bound on , but did not characterize the extremal graphs. For this we include the same proof in the following:
as . One can easily see that the above equality holds if and only if .
Remark 2.
Wang and Kang [] obtained the upper and lower bounds of by Lemma 1, due to Zhang and Wu:
They used a wrong claim that . The correct claim is that .
We now give the correct result, and also obtain the upper and lower bounds of . For this we need the following result.
Lemma 2
([]). Let . Then
- (1)
- if , then ,
- (2)
- if , then has a spanning subgraph which is a double star.
Example 1.
Let be an -regular graph with , where n is odd. The graph has been shown in Figure 1. We have .
Figure 1.
Graph .
Proposition 1.
Let with m edges and maximum degree Δ, minimum degree δ. Then
The left equality holds in (1) if and only if Γ is an -regular graph with , where n is odd.
Proof.
From the definition of degree distance with Lemma 1, we obtain
and
From the above, the left equality holds in (1) if and only if for any , and , by Remark 1. Hence, the left equality holds in (1) if and only if is an -regular graph with , where n is odd.
From Lemma 2, we obtain . Since , both and are connected and hence . Using this result with the definition of Wiener index, we obtain
Using the above result with the definition of degree distance, we obtain
Since both and are connected, we have with . Moreover, we have . Let us consider a function
Then one can easily see that is an increasing function on and a decreasing function on . Hence
with equality if and only if . Now, we must prove that
with equality if and only if and .
From the above with the definition of the Wiener index, we obtain
Moreover, the equality holds in (3) if and only if the above two equalities hold, i.e., if and only if and . Now,
3. Nordhaus–Gaddum-Type Results for Steiner Wiener -Index
Mao et al. [] obtained the Nordhaus–Gaddum-type results for Steiner Wiener index.
Lemma 3
([]). Let and let k be an integer with . Then
Moreover, the lower bounds are sharp.
We now obtain some upper bound on and .
Lemma 4
Let and also let and with . Then:
Proof.
Since and , we now consider induced subgraphs and . From the definition of Steiner distance, we obtain
If is connected, then and hence , . Otherwise, is disconnected, i.e., is connected. Thus, we have and hence , . This completes the proof. □
Theorem 1.
Let and also let k be an integer with . Then:
Proof.
For and , from the definition of Steiner Wiener k-index or k-center Steiner Wiener index of graph with Lemma 4, we obtain
and
This completes the proof. □
Remark 3.
If , then the upper bound in Theorem 1 is always better than the upper bound in Lemma 3 because
Moreover, the upper bound in Theorem 1 is more simple than the upper bound in Lemma 3.
Remark 4.
If , then the upper bound in Theorem 1 is always better than the upper bound in Lemma 3.
We must prove that
that is,
that is,
that is,
which is true always. Moreover, we must prove that
that is,
that is,
which is true always as . Hence the result.
4. Nordhaus–Gaddum-Type Results for -Center Steiner Degree Distance
Mao et al. [] derived sharp upper and lower bounds of in terms of order and size.
Lemma 5
([]). Let , and let k be an integer with . Then
Moreover, the upper and lower bounds are sharp.
For , we have the following by above lemma.
Theorem 2.
Let and let k be an integer with . Then
and
Moreover, the upper and lower bounds are sharp.
Proof.
From Lemma 5, we have
and
Therefore, we have
and
It is clear that the bounds are sharp when . □
Let be a class of graphs such that for any with , , and , where has the maximum degree and all the remaining vertices of degree . If , then . Let be a class of graphs such that for any with , , and , where has the minimum degree and all the remaining vertices of degree . If , then . We now give upper and lower bounds on .
Theorem 3.
Let Γ be a connected graph of order n, and let k be an integer with . Then
where Δ and δ are the maximum and the minimum degree of graph Γ, respectively. Moreover, the left (right) equality holds if and only if Γ is a regular graph or .
Proof.
Let . Then .
Lower Bound: Let be the maximum degree vertex in . Then . Denote by
Then and as . Moreover,
One can easily see that
We obtain
The first part of the proof is complete.
Moreover, the equality holds in (6) if and only if for all . The equality holds in (7) if and only if for . From these two results, we conclude that the left equality holds in (5) if and only if is a regular graph or .
Upper Bound: Let be the minimum degree vertex in . Then . Denote by
Then and as . Moreover,
One can easily see that
Similarly, we obtain
Corollary 1
([]). Let Γ be a connected graph of order n, and let k be an integer with . Then
with equality if and only if Γ is a regular graph.
We now give a sharp upper and lower bounds of and in terms of order, maximum degree and minimum degree.
Theorem 4.
Let and let k be an integer with . Then
Proof.
Using Theorems 1 and 3, we obtain
and
Using Theorems 1 and 3, we obtain
and
as
□
To show the sharpness of the lower bounds, we give the following example.
Example 2.
Let be a cycle of order 5. For any and , we have and , and hence . From the arbitrariness of S, we have and , and hence and . Then , and .
5. Nordhaus–Gaddum-Type Results for -Center Steiner Degree Distance When and
For graph , we have the following upper and lower bounds of .
Lemma 6
Let , and let k be an integer with . If for any and , then
where .
Proof.
For any and , we have , and hence
where
For each , there are k-subsets in such that each of them contains v. The contribution of vertex v to M is exactly . From the arbitrariness of v, we have . So
□
5.1. For
For , Mao et al. [] obtained the following results.
Lemma 7
([]). Let . Then
For , from Theorem 2, we have the following proposition, which implies that the upper and lower bounds in Theorem 2 are sharp for .
Proposition 2.
Let . Then
- (1)
- ;
- (2)
- .
For , we can derive the following.
Proposition 3.
Let . Then
- (1)
- ;
- (2)
- .
Proof.
We only need to give the proof of . From Proposition 2, . Let . Since , from the proof of Proposition 1, we obtain
Hence . □
5.2. For
Akiyama and Harary [] characterized the graphs for which and both have connectivity one.
Lemma 8
([]). Let . Then if and only if Γ satisfies the following conditions.
- (i)
- and ;
- (ii)
- , and Γ has a cut vertex v with pendant edge such that contains a spanning complete bipartite subgraph.
Lemma 9
([]). Let .
- (1)
- If , then .
- (2)
- If , then , where are all cut vertices of Γ.
Lemma 10
Let be a graph with n vertices such that . If and Γ has a cut vertex v with pendant edge such that contains a spanning complete bipartite subgraph, then
- (1)
- ;
- (2)
- The order of one part in the complete bipartite subgraph is at least 3, and the order of the other part is at least 2.
Proof.
Let be the complete bipartite graph obtained from , and Let be the two parts of such that and . Without loss of generality, let . Since u is a pendant vertex in , it follows that , and hence . Since , it follows that and , as desired. □
Theorem 5.
and
and
where p is the number of cut vertices in Γ.
and
and
Let .
- (1)
- If both Γ and are 2-connected, then
- (2)
- If and is 2-connected, then
- (3)
- If , then
- (4)
- If , , then
Proof.
Since both and are 2-connected, it follows from Lemma 9 that
and
Since , it follows from Lemma 9 that
where are all cut vertices of . Since is 2-connected, it follows from Lemma 9 that
Then
and
where p is the number of cut vertices in .
According to Lemmas 8, it is clear that v is the unique cut vertex in . Let be the complete bipartite graph obtained from , and Let be the two parts of such that and . By Lemma 9, we obtain . Since u is a pendant vertex in , it follows that from Lemma 10. Then any vertex in is not a cut vertex of . Without loss of generality, let . Please note that and . Combined to Lemmas 8 and 10, we obtained , then . In addition, it implies that v is a vertex of degree at least two in . Then v is not a cut vertex of . We conclude that u is the unique cut vertex of . Again, by Lemma 9, we obtain
Then
Since , it follows that there are at most two cut vertices in . Since , there is at least one cut vertex in . If there are exactly two cut vertices in , say , then
If there is exactly one cut vertex in , say w, then . If u is a cut vertex, then . Therefore,
and
From the argument, we conclude that
Similarly, since and , we have
that is,
Then
and
□
For , both and are connected, it follows that . The following corollary is immediate from the above theorem.
Corollary 2.
Let .
If Γ and are both 2-connected, then
and
If and is 2-connected, then
and
If , , and Γ has a cut vertex v with pendent edge such that contains a spanning complete bipartite subgraph, then
and
If , , then
and
6. Applications
According to recent trends in mathematics education, mathematics is not just a symbolic language or a system of concepts, but is primarily a human activity that involves solving socially shared problems. The vision of the curriculum and assessment standards is that mathematical reasoning, problem solving, communication and connection should be central to teaching and assessment. As Garfield [] points out, it is no longer appropriate to assess student knowledge by asking them to calculate answers and apply mathematical formulas. Teaching and assessment of combinatorics should therefore be based on solving various combinatorial problems that require students to systematically enumerate, recurrence, tables, classification, and tree diagrams.
According to Kapur [], combinatorics is significant and needs to be taught in schools for several reasons. One reason for this is that combinatorics can be used to train students to make estimation, count, think systematically, and more. Students can learn about the benefits and drawbacks of mathematics through combinatorics. According to Spira’s educational experience [], students are not trained in combinatorial thinking, because we have been taught that solving combinatorial problems consists mainly of direct computations by the application of given formulas and multiplicative principles.
In 2010, Davis proposed the idea of education networks [], where Steiner trees and others may find applications. For example, one may want to acquire certain kinds of educational resources connected in a subnetwork to form big networks such as graph products. Another school of thinking is to stand up the complement of a given sparse network to form a dense network. This makes it interesting to study Nordhaus-Gaddum-type problems using this combinatorial thinking. Combinatorial thinking is defined as a way of thinking in which a series of unrelated things are connected so that they become a new innovative, contemporary and inheritable one.
This study aims to find the Nordhaus–Guddum-type results for Steiner degree distance using combinatorial thinking skills, especially in the concept of counting (see Section 4). Teaching the Steiner degree distance is a good example of training combinatorial reasoning.
7. Concluding Remark
In this report, we studied the Nordhaus–Gaddum-type results for , and . We presented some upper bounds on and . Moreover, we compare these upper bounds with previous bounds. We obtained sharp upper and lower bounds of and for a connected graph of order n with maximum degree and minimum degree .
From the above, we may propose the following open problem.
Problem 1.
Which graphs of order n give the maximum and the minimum value of and , where Γ and are connected graphs?
Author Contributions
Conceptualization, H.L., J.L., Y.L. and K.C.D.; investigation, H.L., J.L., Y.L. and K.C.D.; writing—original draft preparation, H.L., J.L., Y.L. and K.C.D.; writing—review and editing, H.L., J.L., Y.L. and K.C.D. All authors have read and agreed to the submitted version of the manuscript.
Funding
J. Li is supported by the National Science Foundation of China (No. 12061059) and Fundamental Research Funds for the Central Universities (No. 2682020CX60). K. C. Das is supported by National Research Foundation funded by the Korean government (Grant No. 2021R1F1A1050646).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Bondy, J.A.; Murty, U.S.R. Graph Theory; Springer: Berlin/Heidelberg, Germany, 2008. [Google Scholar]
- Wiener, H. Structural determination of paraffin boiling points. J. Am. Chem. Soc. 1947, 69, 17–20. [Google Scholar] [CrossRef] [PubMed]
- Rouvray, D.H. Harry in the limelight: The life and times of Harry Wiener. In Topology in Chemistry—Discrete Mathematics of Molecules; Rouvray, D.H., King, R.B., Eds.; Horwood: Chichester, UK, 2002; pp. 1–15. [Google Scholar]
- Rouvray, D.H. The rich legacy of half century of the Wiener index. In Topology in Chemistry—Discrete Mathematics of Molecules; Rouvray, D.H., King, R.B., Eds.; Horwood: Chichester, UK, 2002; pp. 16–37. [Google Scholar]
- Gutman, I.; Klavžar, S.; Mohar, B. Fifty years of the Wiener index. MATCH Commun Math. Comput. Chem. 1997, 35, 1–159. [Google Scholar]
- Gutman, I.; Polansky, O.E. Mathematical Concepts in Organic Chemistry; Springer: Berlin, Germany, 1986. [Google Scholar]
- Dobrynin, A.; Entringer, R.; Gutman, I. Wiener index of trees: Theory and application. Acta Appl. Math. 2001, 66, 211–249. [Google Scholar] [CrossRef]
- Xu, K.; Liu, M.; Das, K.C.; Gutman, I.; Furtula, B. A survey on graphs extremal with respect to distance–based topological indices. MATCH Commun. Math. Comput. Chem. 2014, 71, 461–508. [Google Scholar]
- Alizadeh, Y.; Andova, V.; Klavžar, S.; Škrekovski, R. Wiener dimension: Fundamental properties and (5,0)-nanotubical fullerenes. MATCH Commun. Math. Comput. Chem. 2014, 72, 279–294. [Google Scholar]
- Darabi, H.; Alizadeh, Y.; Klavžar, S.; Das, K.C. On the relation between Wiener index and eccentricity of a graph. J. Comb. Optim. 2021, 41, 817–829. [Google Scholar] [CrossRef]
- Das, K.C.; Gutman, I. Estimating the Wiener index by means of number of vertices, number of edges, and diameter. MATCH Commun. Math. Comput. Chem. 2010, 64, 647–660. [Google Scholar]
- Das, K.C.; Nadjafi-Arani, M.J. On maximum Wiener index of trees and graphs with given radius. J. Comb. Optim. 2017, 34, 574–587. [Google Scholar] [CrossRef]
- Das, K.C.; Jeon, H.; Trinajstić, N. Comparison between the Wiener index and the Zagreb indices and the eccentric connectivity index for trees. Discrete Appl. Math. 2014, 171, 35–41. [Google Scholar] [CrossRef]
- Da Fonseca, C.M.; Ghebleh, M.; Kanso, A.; Stevanović, D. Counter examples to a conjecture on Wiener index of common neighborhood graphs. MATCH Commun. Math. Comput. Chem. 2014, 72, 333–338. [Google Scholar]
- Entringer, R.C.; Jackson, D.E.; Snyder, D.A. Distance in graphs. Czech. Math. J. 1976, 26, 283–296. [Google Scholar] [CrossRef]
- Jin, Y.L.; Zhang, X.D. On two conjectures of the Wiener index. MATCH Commun. Math. Comput. Chem. 2013, 70, 583–589. [Google Scholar]
- Klavžar, S.; Nadjafi–Arani, M.J. Wiener index in weighted graphs via unification of Θ*-classes. Eur. J. Comb. 2014, 36, 71–76. [Google Scholar] [CrossRef]
- Knor, M.; Škrekovski, R. Wiener index of generalized 4-stars and of their quadratic line graphs. Australas. J. Comb. 2014, 58, 119–126. [Google Scholar]
- Azari, M.; Divanpour, H. Splices, links, and their edge-degree distances. Trans. Comb. 2017, 6, 29–42. [Google Scholar]
- Azari, M.; Iranmanesh, A.; Tehranian, A. Two topological indices of three chemical structures. MATCH Commun. Math. Comput. Chem. 2013, 69, 69–86. [Google Scholar]
- Iranmanesh, A.; Azari, M. Edge-Wiener descriptors in chemical graph theory: A survey. Curr. Org. Chem. 2015, 19, 219–239. [Google Scholar] [CrossRef]
- Dobrynin, A.; Kochetova, A. Degree distance of a graph: A degree analogue of the wiener index. J. Chem. Inf. Comput. Sci. 1994, 34, 1082–1086. [Google Scholar] [CrossRef]
- Ali, P.; Mukwembi, S.; Munyira, S. Degree distance and vertex-connectivity. Discrete Appl. Math. 2013, 161, 2802–2811. [Google Scholar] [CrossRef]
- Ali, P.; Mukwembi, S.; Munyira, S. Degree distance and edge-connectivity. Australas. J. Combin. 2014, 60, 50–68. [Google Scholar]
- An, M.; Xiong, L.; Das, K.C. Two upper bounds for the degree distances of four sums of graphs. Filomat 2014, 28, 579–590. [Google Scholar] [CrossRef]
- Mukwembi, S.; Munyira, S. Degree distance and minimum degree. Bull. Austral. Math. Soc. 2013, 87, 255–271. [Google Scholar] [CrossRef]
- Pattabiraman, K.; Kandan, P. Generalization of the degree distance of the tensor product of graphs. Australas J. Combin. 2015, 62, 211–227. [Google Scholar]
- De Lima, J.A. Thinking more deeply about networks in education. J. Educ. Change 2010, 11, 1–21. [Google Scholar] [CrossRef]
- Ali, P.; Dankelmann, P.; Mukwembi, S. Upper bounds on the Steiner diameter of a graph. Discrete Appl. Math. 2012, 160, 1845–1850. [Google Scholar] [CrossRef]
- Cáceresa, J.; Mxaxrquezb, A.; Puertasa, M.L. Steiner distance and convexity in graphs. Eur. J. Combin. 2008, 29, 726–736. [Google Scholar] [CrossRef]
- Chartrand, G.; Oellermann, O.R.; Tian, S.; Zou, H.B. Steiner distance in graphs. Časopis Pest. Mat. 1989, 114, 399–410. [Google Scholar] [CrossRef]
- Dankelmann, P.; Oellermann, O.R.; Swart, H.C. The average Steiner distance of a graph. J. Graph Theory 1996, 22, 15–22. [Google Scholar] [CrossRef]
- Goddard, W.; Oellermann, O.R. Distance in Graphs. In Structural Analysis of Complex Networks; Dehmer, M., Ed.; Birkhäuser: Dordrecht, The Netherlands, 2011; pp. 49–72. [Google Scholar]
- Liu, H.; Shen, Z.; Yang, C.; Das, K.C. On a combinatorial approach to study the Steiner diameter of a graph and its line graph. Mathematics 2022, 10, 3863. [Google Scholar] [CrossRef]
- Oellermann, O.R.; Tian, S. Steiner centers in graphs. J. Graph Theory 1990, 14, 585–597. [Google Scholar] [CrossRef]
- Li, X.; Mao, Y.; Gutman, I. The Steiner Wiener index of a graph. Discuss. Math. Graph Theory 2016, 36, 455–465. [Google Scholar]
- Mao, Y.; Wang, Z.; Gutman, I. Steiner Wiener index of graph products. Trans. Combin. 2016, 5, 39–50. [Google Scholar]
- Mao, Y.; Wang, Z.; Gutman, I.; Li, H. Nordhaus-Gaddum-type results for the Steiner Wiener index of graphs. Discrete Appl. Math. 2017, 219, 167–175. [Google Scholar]
- Gutman, I. On Steiner degree distance of trees. Appl. Math. Comput. 2016, 283, 163–167. [Google Scholar] [CrossRef]
- Mao, Y.; Das, K.C. Steiner Gutman index. MATCH Commun. Math. Comput. Chem. 2018, 79, 779–794. [Google Scholar]
- Mao, Y.; Wang, Z.; Das, K.C. Steiner degree distance of two graph products. Analele Stiintifice Ale Univ. Ovidius Constanta 2019, 27, 83–99. [Google Scholar] [CrossRef]
- Wang, Z.; Mao, Y.; Das, K.C.; Shang, Y. Nordhaus-Guddum type results for the Steiner Gutman index of graphs. Symmetry 2020, 12, 1711. [Google Scholar] [CrossRef]
- Aouchiche, M.; Hansen, P. A survey of Nordhaus-Gaddum type relations. Discrete Appl. Math. 2013, 161, 466–546. [Google Scholar] [CrossRef]
- Zhang, L.; Wu, B. The Nordhaus–Gaddum-type inequalities for some chemical indices. MATCH Commun. Math. Comput. Chem. 2005, 54, 189–194. [Google Scholar]
- Wang, H.; Kang, L. Further properties on the degree distance of graphs. J. Combin. Optim. 2016, 31, 427–446. [Google Scholar] [CrossRef]
- Mao, Y.; Wang, Z.; Gutman, I.; Klobučar, A. Steiner degree distance. MATCH Commun. Math. Comput. Chem. 2017, 78, 221–230. [Google Scholar]
- Akiyama, J.; Harary, F. A graph and its complement with specified properties. Internat. J. Math. Math. Sci. 1979, 2, 223–228. [Google Scholar] [CrossRef]
- Garfield, J.B. Beyond testing and grading: Using assessment to imrpove student learning. J. Stat. Educ. 1994, 2, 1–10. [Google Scholar]
- Kapur, J.N. Combinatorial analysis and school mathematics. Educ. Stud. Math. 1970, 3, 111–127. [Google Scholar] [CrossRef]
- Spira, M. The bijection principle on the teaching of combinatorics. In Proceedings of the 11th International Congress on Mathematical Education, Monterrey, Mexico, 28 April 2008. [Google Scholar]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).