New Quantum Hermite-Hadamard Inequalities Utilizing Harmonic Convexity of the Functions
The aim of this paper is to obtain some new Hermite-Hadamard type of inequalities via harmonic convex, strongly harmonic convex, strongly harmonic log-convex functions, and AH-convex in connection with quantum calculus. All the results reduce to ordinary
Bandar Bin-Mohsin +5 more
doaj +1 more source
This study develops 3D‐printed Mg‐MC/PLGA scaffolds with varying Mg concentrations (0–20%). The 5% Mg scaffold shows optimal cytocompatibility, osteogenic activity in vitro, and significantly enhances bone regeneration in rabbits, improving bone volume and mechanical strength.
Shihang Liu +9 more
wiley +1 more source
The Fifth Coefficient Approximation of The Inverse Strongly Convex Function
Krisna Adilia Daniswara +2 more
openalex +2 more sources
The second Hankel determinant of the logarithmic coefficients of strongly starlike and strongly convex functions [PDF]
Bogumiła Kowalczyk, Adam Lecko
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Engineering Extracellular Microenvironments: The Impact of Fibrous Materials on Cell Behavior
Fibrous structures are key elements of the native extracellular matrix and crucial for directing cell behavior. This review discusses how fiber properties such as composition, diameter, and alignment affect cell responses in 2D and 3D systems. Strategies for integrating fibrous cues into engineered tissues are highlighted, and future directions for ...
Zan Lamberger, Gregor Lang
wiley +1 more source
Strongly MφMψ -Convex Functions, The Hermite–Hadamard–Fejér Inequality and Related Results [PDF]
Mea Bombardelli, Sanja Varošanec
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3D Printing Strategies for Bioengineering Human Cornea
This review highlights recent progress in 3D bioprinting strategies for engineering human corneas. Key aspects include the replication of corneal transparency, curvature, and biomechanical properties, alongside innovations in recent advancements in 3D printing methods, which benefit in overcoming current challenges.
Yunong Yuan +4 more
wiley +1 more source
New Improvements of the Jensen–Mercer Inequality for Strongly Convex Functions with Applications
In this paper, we use the generalized version of convex functions, known as strongly convex functions, to derive improvements to the Jensen–Mercer inequality. We achieve these improvements through the newly discovered characterizations of strongly convex
Muhammad Adil Khan +2 more
doaj +1 more source
A geometrically converging dual method for distributed optimization over time-varying graphs
In this paper we consider a distributed convex optimization problem over time-varying undirected networks. We propose a dual method, primarily averaged network dual ascent (PANDA), that is proven to converge R-linearly to the optimal point given that the
Jaldén, Joakim, Maros, Marie
core
Sherman's inequality and its converse for strongly convex functions with applications to generalized f-divergences [PDF]
Slavica Ivelić Bradanović
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