Results 61 to 70 of about 1,190 (161)

Optimization of Soliton Structures Using Lifting Theory on Tangent Bundles of Statistical Kenmotsu Manifolds

open access: yesJournal of Mathematics, Volume 2026, Issue 1, 2026.
This paper investigates the optimization of soliton structures on tangent bundles of statistical Kenmotsu manifolds through lifting theory. By constructing lifted statistical Kenmotsu structures using semisymmetric metric and nonmetric connections, we derive explicit expressions for the curvature tensor, Ricci operator, and scalar curvature. We analyze
Mohammad Nazrul Islam Khan   +3 more
wiley   +1 more source

Insights Into the Comprehensive Carbon Cycle in a Mangrove Ecosystem: A Case Study for Understanding Carbon Burial, Outgassing, and Outwelling in a Subtropical Island

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 130, Issue 12, December 2025.
Abstract A significant quantity of soil organic carbon (SOC) is buried in mangrove ecosystems. However, recent research has revealed that substantial amounts of carbon are exported to the atmosphere as CO2 or to the ocean as dissolved inorganic carbon (DIC), dissolved organic carbon (DOC), and particulate organic carbon (POC).
Wataru Nakamura   +8 more
wiley   +1 more source

A multidimensional strategy to detect polypharmacological targets in the absence of structural and sequence homology [PDF]

open access: yes, 2010
Conventional drug design embraces the "one gene, one drug, one disease" philosophy. Polypharmacology, which focuses on multi-target drugs, has emerged as a new paradigm in drug discovery.
Chen Zhijun   +39 more
core   +1 more source

Statistical hypersurfaces in the space of Hessian curvature zero Ⅱ [PDF]

open access: yes, 2013
We construct cylindrical statistical immersions between spaces of Hessian curvature zero.The words “statistical submanifold” can be found in the paper [5] in 1989, which was written by Vos in the context of statistical inference or information geometry ...
Hu, Na, Furuhata, Hitoshi, Vrancken, Luc
core  

Smoothing Three-Dimensional Manifold Data, with Application to Tectonic Fault Detection

open access: yes, 2016
Three-dimensional manifold data arise in many contexts of geoscience, such as laser scanning, drilling surveys and seismic catalogs. They provide point measurements of complex surfaces, which cannot be fitted by common statistical techniques, like ...
Grillenzoni, Carlo
core   +1 more source

A statistical comparison for evaluating the effectiveness of linear and nonlinear manifold detection techniques for software defect prediction

open access: yesInt. J. Adv. Intell. Paradigms, 2019
Most of the software systems are released without predicting defects and therefore, this paper presents a new effective technique - manifold detection technique (MDT) is essential and different than earlier applied defect prediction methods like ...
Soumi Ghosh, A. Rana, Vineet Kansal
semanticscholar   +1 more source

Statistical modelling for facial expression dynamics

open access: yes, 2012
PhDOne of the most powerful and fastest means of relaying emotions between humans are facial expressions. The ability to capture, understand and mimic those emotions and their underlying dynamics in the synthetic counterpart is a challenging task ...
Zalewski, Lukasz
core  

Chen Inequalities for Statistical Submanifolds of Kähler-Like Statistical Manifolds

open access: yesMathematics, 2019
We consider Kähler-like statistical manifolds, whose curvature tensor field satisfies a natural condition. For their statistical submanifolds, we prove a Chen first inequality and a Chen inequality for the invariant δ ( 2 , 2 ) .
Hülya Aytimur   +4 more
semanticscholar   +1 more source

Generalized quasi-statistical structures

open access: yes, 2018
Given a non-degenerate $(0,2)$-tensor field $h$ on a smooth manifold $M$, we consider a natural generalized complex and a generalized product structure on the generalized tangent bundle $TM\oplus T^*M$ of $M$ and we show that they are $\nabla$-integrable,
Blaga, Adara M., Nannicini, Antonella
core  

Proposer of the vote of thanks to Whiteley et al. and contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’

open access: yes
Whiteley et al. revisit one of the most influential ideas in modern statistical learning: the manifold hypothesis. While the hypothesis is routinely invoked to justify the success of high-dimensional data analysis, it is rarely given a probabilistic ...
Wang, Tengyao
core   +1 more source

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