General Iterative Algorithms for Hierarchical Fixed Points Approach to Variational Inequalities by Nopparat Wairojjana, Poom Kumam

“…This paper deals with new methods for approximating a solution to the fixed point problem; find x̃∈F(T), where H is a Hilbert space, C is a closed convex subset of H, f is a ρ-contraction from C into H, 0<ρ<1, A is a strongly positive linear-bounded operator with coefficient γ̅>0, 0<γ<γ̅/ρ, T is a nonexpansive mapping on C, and PF(T) denotes the metric projection on the set of fixed point of T. …”
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Numerical Solution of the 1D Advection-Diffusion Equation Using Standard and Nonstandard Finite Difference Schemes by A. R. Appadu

“…We solve a 1D numerical experiment with specified initial and boundary conditions, for which the exact solution is known using all these three schemes using some different values for the space and time step sizes denoted by h and k, respectively, for which the Reynolds number is 2 or 4. …”
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Benchmarking of Multispectral Pansharpening: Reproducibility, Assessment, and Meta-Analysis by Luciano Alparone, Andrea Garzelli

“…The term pansharpening denotes the process by which the geometric resolution of a multiband image is increased by means of a co-registered broadband panchromatic observation of the same scene having greater spatial resolution. …”
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Graph-Based Node Finding in Big Complex Contextual Social Graphs by Keshou Wu, Guanfeng Liu, Junwen Lu

“…In complex contextual social networks, considering the constraints of social contexts like the social relationships, the social trust, and the social positions, users are interested in the top-K matches of a specific node (denoted as the designated node) based on a pattern graph, rather than the entire set of graph matching. …”
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Conflict resolution in intercultural communication: strategies for managing cultural conflicts by Weihong Guo

“…The mean value in the group employing specific conflict management strategies was significantly higher (75 compared to 70 in the control group), indicating more successful resolution of conflict situations. t ≈ 8.66 denotes significant differences between the groups. …”
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Writing the history of North America from Indian country: the view from the north-central Plains, 1800-1870 by Raymond J. DeMallie, Gilles Havard

“…To illustrate our perspective, we examine a concept of geographical and cultural space denoted as “Indian country.” As a case study, we focus our analysis on tribes of the central and northern Plains between 1800 and 1870. …”
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Evolutionary distributions in adaptive space by Yosef Cohen

“…An evolutionary distribution (ED), denoted by z(x,t), is a distribution of density of phenotypes over a set of adaptive traits x. …”
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On direct and inverse problems related to some dilated sumsets by Kaur, Ramandeep, Singh, Sandeep

“…For a real number $m$, the set $m\cdot A=\lbrace ma: a\in A\rbrace $ denotes the set of $m$-dilates of $A$. In 2008, Bukh initiated an interesting problem of finding a lower bound for the sumset of dilated sets, i.e., a lower bound for $|\lambda _1\cdot A+\lambda _2\cdot A+\cdots +\lambda _h\cdot A|$, where $\lambda _1, \lambda _2, \dots , \lambda _h$ are integers and $A$ be a subset of integers. …”
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Monotonicity and positivity of several functions involving ratios and products of polygamma functions by Feng Qi, Dongkyu Lim, Kwara Nantomah

“…Abstract Let ψ ( x ) $\psi (x)$ denote the digamma function, that is, the logarithmic derivative of the classical Euler gamma function Γ ( x ) $\Gamma (x)$ . …”
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A Topology Control Algorithm for Sensor Networks Based on Robust Optimization by Junfeng Qiao, Sanyang Liu, Wei Duan

“…Firstly, when only the cost coefficients are subject to uncertainty, it is proved that the robust counterpart of the 0-1 discrete optimization problem on n variables can be solved by solving at most n + 1 - Γ deterministic problems, where Γ denotes the number of cost coefficients which change in an uncertainty set. …”
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Evaluation Formulas for Generalized Conditional Wiener Integrals with Drift on a Function Space by Dong Hyun Cho

“…Let C[0,t] denote a generalized Wiener space, the space of real-valued continuous functions on the interval [0,t] and define a stochastic process Y:C[0,t]×[0,t]→ℝ by Y(x,s)=∫0s‍h(u)dx(u)+a(s) for x∈C[0,t] and s∈[0,t], where h∈L2[0,t] with h≠0 a.e. and a is continuous on [0,t]. …”
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On tenses as speech-act-level functions by Patrick Caudal

“…., it does not combine with the event predicate denoted by said verb) but that, therefore, (ii) it must operate at a higher, discursive semantic level. …”
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On Eternal Domination of Generalized Js,m by Ramy Shaheen, Mohammad Assaad, Ali Kassem

“…The size of the smallest m-eternal dominating set is called the m-eternal domination number and is denoted by γm∞G. In this paper, we find the domination number of Jahangir graph Js,m for s≡1,2 mod 3, and the m-eternal domination numbers of Js,m for s,m are arbitraries.…”
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Dynamical System Analysis of a Lassa Fever Model with Varying Socioeconomic Classes by Ifeanyi Sunday Onah, Obiora Cornelius Collins

“…In this work, we formulate a multiple-patch Lassa fever model, where each patch denotes a socioeconomic class (SEC). Some of the important epidemiological features such as basic reproduction number of the model were determined and analysed accordingly. …”
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q-Hyperconvexity in Quasipseudometric Spaces and Fixed Point Theorems by Hans-Peter A. Künzi, Olivier Olela Otafudu

“…In analogy with a metric result, we show among other things that a set-valued mapping T∗ on a q-hyperconvex T0-quasimetric space (X, d) which takes values in the space of nonempty externally q-hyperconvex subsets of (X, d) always has a single-valued selection T which satisfies d(T(x),T(y))≤dH(T∗(x),T∗(y)) whenever x,y∈X. (Here, dH denotes the usual (extended) Hausdorff quasipseudometric determined by d on the set 𝒫0(X) of nonempty subsets of X.)…”
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Radio Labelings of Lexicographic Product of Some Graphs by Muhammad Shahbaz Aasi, Muhammad Asif, Tanveer Iqbal, Muhammad Ibrahim

“…The span of labeling ℘ is the largest number that ℘ assigns to a vertex of a graph. Radio number of G, denoted by rnG, is the minimum span taken over all radio labelings of G. …”
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QFT Derivation of the Decay Law of an Unstable Particle with Nonzero Momentum by Francesco Giacosa

“…To this end, we use the (fully resummed) propagator of the unstable particle, denoted as S, to obtain the energy probability distribution, called dSp(E), as the imaginary part of the propagator. …”
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Some Inequalities between General Randić-Type Graph Invariants by Imran Nadeem, Saba Siddique, Yilun Shang

“…The general Randić and zeroth-order general Randić indices are Randić-type graph invariants and are defined for a graph G with vertex set V as RαG=∑υi∼υjdidjα and QαG=∑vi∈Vdiα, respectively, where α is an arbitrary real number, di denotes the degree of a vertex υi, and υi∼υj represents the adjacency of vertices υi and υj in G. …”
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Peano compactifications and property S metric spaces by R. F. Dickman

“…Let (X,d) denote a locally connected, connected separable metric space. …”
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Exploring Coevolution of Emotional Contagion and Behavior for Microblog Sentiment Analysis: A Deep Learning Architecture by Qi Zhang, Zufan Zhang, Maobin Yang, Lianxiang Zhu

“…Accordingly, a deep learning architecture (denoted as MSA-UITC) is proposed for the target microblog. …”
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