The Neimark–Sacker Bifurcation and Global Stability of Perturbation of Sigmoid Beverton–Holt Difference Equation by M. R. S. Kulenović, Connor O’Loughlin, E. Pilav

“…We present the bifurcation results for the difference equation xn+1=xn2/axn2+xn−12+f where a and f are positive numbers and the initial conditions x−1 and x0 are nonnegative numbers. …”
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On the Recursive Sequence xn=1+∑i=1kαixn−pi/∑j=1mβjxn−qj by Stevo Stevic

“…We give a complete picture regarding the behavior of positive solutions of the following important difference equation: xn=1+∑i=1kαixn−pi/∑j=1mβjxn−qj, n∈ℕ0, where αi, i∈{1,…,k}, and βj, j∈{1,…,m}, are positive numbers such that ∑i=1kαi=∑j=1mβj=1, and pi, i∈{1,…,k}, and qj, j∈{1,…,m}, are natural numbers such that p1<p2<⋯<pk and q1<q2<⋯<qm. …”
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Viscosity Methods of Asymptotically Pseudocontractive and Asymptotically Nonexpansive Mappings for Variational Inequalities by Xionghua Wu, Yeong-Cheng Liou, Zhitao Wu, Pei-Xia Yang

“…Let {𝑡𝑛}⊂(0,1) be such that 𝑡𝑛→1 as 𝑛→∞, let 𝛼 and 𝛽 be two positive numbers such that 𝛼+𝛽=1, and let 𝑓 be a contraction. …”
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A New Sixth-Order Finite Difference Compact Reconstruction Unequal-Sized WENO Scheme for Nonlinear Degenerate Parabolic Equations by Liang Li, Yan Zhang, Jun Zhu

“…The corresponding linear weights can be artificially set to be any random positive numbers as well as their summation is one. The construction process of this scheme is very simple and can be easily extended to higher dimensions, since the new compact conservative formulation is applied to approximate the second-order derivatives. …”
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Predictors of implant failure: A comprehensive analysis of risk factors in oral implant restoration for patients with partial defects of dentition by Dake Linghu, Danna Zhang, Min Liu

“…The analysis revealed that factors such as gender, post-implant smoking, oral hygiene status at the second-year follow-up, tooth position, number of implants, timing of loading, width of keratinized mucosa, and bone quantity significantly influenced the likelihood of implant failure (P<0.05). …”
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Fruit Detection and Yield Mass Estimation from a UAV Based RGB Dense Cloud for an Apple Orchard by Marius Hobart, Michael Pflanz, Nikos Tsoulias, Cornelia Weltzien, Mia Kopetzky, Michael Schirrmann

“…The detection included the position, number, volume and mass of apples for all blocks over the orchard. …”
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Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum by Indah Mustika Rahayu, Ahmad Yusuf, Mujib Ridwan

“…NST administrative data consists of age, gender, child position, number of siblings, pre-elementary status, father education, mother education and school readiness results. …”
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