Results 11 to 20 of about 751 (193)
On approximating the quasi-arithmetic mean
In this article, we prove that the double inequalities α1[7C(a,b)16+9H(a,b)16]+(1−α1)[3A(a,b)4+G(a,b)4]
Tie-Hong Zhao +3 more
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In this paper, small modification on Improved Euler’s method (Heun’s method) is proposed to improve the efficiency so as to solve ordinary differential equations with initial condition by assuming the tangent slope as an average of the arithmetic mean ...
Abushet Hayalu Workie
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Improvements of bounds for the Sándor–Yang means
In the article, we provide new bounds for two Sándor–Yang means in terms of the arithmetic and contraharmonic means. Our results are the improvements of the previously known results.
Wei-Mao Qian, Hui-Zuo Xu, Yu-Ming Chu
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Seven Means, Generalized Triangular Discrimination, and Generating Divergence Measures
Jensen-Shannon, J-divergence and Arithmetic-Geometric mean divergences are three classical divergence measures known in the information theory and statistics literature.
Inder Jeet Taneja
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Optimal Bounds of the Arithmetic Mean by Harmonic, Contra-harmonic and New Seiffert-like Means
We provide the optimal bounds for the arithmetic mean in terms of harmonic, contra-harmonic and new Seiffert-like means.
Wei-Mao Qian, Hui-Zuo Xu
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Contra Harmonic Mean Labelling of Graphs
A graph labelling is an assignment of integers to the vertices or edges or both subject to certain conditions. A Graph G(V, E) with p vertices and q edges is called a Contra Harmonic mean graph if it is possible to label all the vertices x ∈ V with distinct labels f(x) from {1, 2, 3, 4, …., p } in such a way that each edge e = uv is labelled with
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Sharp inequalities for the Neuman-Sandor mean in terms of arithmetic and contra-harmonic means
In this paper, we find the greatest values \(\alpha\) and \(\lambda\), and the least values \(\beta\) and \(\mu\) such that the double inequalities \[C^{\alpha}(a,b)A^{1-\alpha}(a,b)
Yu-Ming Chu, Miao-Kun Wang, Bao-Yu Liu
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Radio Contra Harmonic Mean Number of Graphs
Objectives: To explore the least upper bound of graphs by radio contra harmonic labeling. Methods: Contra harmonic mean function or , radio mean labeling condition and radio harmonic mean labeling are used. Findings: Here we introduce radio contra harmonic mean labeling and its least upper bound, designated as radio contra harmonic mean number, by ...
T S Ashika, S Asha
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Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
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Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source

