Results 61 to 70 of about 20,123 (250)
Refinement of some inequalities for means
We consider weighted arithmetic means as, for example, \(\alpha G+(1-\alpha)C,\) with \(\alpha\in(0,1)\), \(G\) \(C\) being the geometric and anti-harmonic means, and we find the range of values of \(\alpha\) for which the weighted mean is still greater ...
Mira-Cristiana Anisiu, Valeriu Anisiu
doaj +2 more sources
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua +6 more
wiley +1 more source
Hermite-Hadamard type inequalities for (m, M)-Ψ-convex functions when Ψ = -ln [PDF]
In this paper we establish some Hermite-Hadamard type inequalities for (m, M)-Ψ-convex functions when Ψ=- ln. Applications for power functions and weighted arithmetic mean and geometric mean are also provided.
Sever Silvestru Dragomir, Gomm Ian
doaj
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
On the p-Version of the Schwab-Borchardt Mean II
This paper deals with the p-version of the Schwab-Borchardt mean. Lower and upper bounds for this mean, expressed in terms of the weighted geometric and arithmetic means of its variables, are obtained.
Edward Neuman
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Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg +18 more
wiley +1 more source
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li +9 more
wiley +1 more source
It is generally accepted that ice cores archive amount-weighted water stable isotope signals. In order to achieve an improved understanding of the nature of water stable isotope signals stored in ice cores annual δ18O and δ2H averages (i.e.
Hatvani István Gábor, Kern Zoltán
doaj +1 more source
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source
Invariance of quasi-arithmetic means with function weights
In this paper some existence results are presented for the functional equation \[ \begin{multlined} \lambda(x,y)\phi^{-1}\left(\mu(x,y)\phi(x)+(1-\mu(x,y)\right)\phi(y)\\ +(1-\lambda(x,y))\psi^{-1}\left( \nu (x,y)\psi(x)+(1-\nu(x,y)\psi(y)\right)\\ =\lambda(x,y)x+(1-\lambda(x,y))y, \end{multlined} \] where \(\phi, \psi: I\to {\mathbb R}\) are ...
openaire +1 more source

