Results 91 to 100 of about 2,212,997 (349)

Some Approximate Results of Value-at-Risk for Dependent Compound Stochastic Sums of Heavy-Tailed Risks

open access: yesIEEE Access, 2020
According to in-depth research, a wide range of problems in applied science involve estimating the probability of compound stochastic sums of heavy-tailed risks over a large threshold.
Zhaoyang Lu
doaj   +1 more source

Golden‐Ratio–Guided Aperiodic Architected Metamaterials with Simultaneously Enhanced Strength and Toughness

open access: yesAdvanced Functional Materials, EarlyView.
Guided by the golden ratio, a class of aperiodic architected metamaterials is introduced to address the intrinsic trade‐off between strength and toughness. By unifying local geometric heterogeneity with global order, the golden‐ratio‐guided aperiodic architecture promotes spatial delocalization of damage tolerence regions, leading to more tortuous ...
Junjie Deng   +9 more
wiley   +1 more source

Liquid Crystalline Inverted Lipid Phases and Reverse Micelles in Drug Delivery: From Molecular Design to Therapeutic Potential

open access: yesAdvanced Functional Materials, EarlyView.
Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu   +3 more
wiley   +1 more source

Broadband, Flexible, Skin‐Compatible Carbon Dots/Graphene Photodetectors for Wearable Applications

open access: yesAdvanced Functional Materials, EarlyView.
Broadband, flexible photodetectors integrating nitrogen‐rich carbon dots with single‐layer graphene on plastic substrates are demonstrated. A biocompatible chitosan–glycerol electrolyte enables efficient low‐voltage gating and on‐skin operation. The devices exhibit ultraviolet‐to‐near‐infrared response, mechanical robustness under bending, and verified
Nouha Loudhaief   +20 more
wiley   +1 more source

A note on the tail behavior of randomly weighted and stopped dependent sums

open access: yesNonlinear Analysis, 2015
In this paper, we deal with the tail behavior of the maximum of randomly weighted and stopped sums. We assume that primary random variables (with a certain dependence structure) are identically distributed with heavy-tailed distribution function and ...
Lina Dindienė, Remigijus Leipus
doaj   +1 more source

Controlling 3D Contractility via Engineered Fibrous Hydrogel Composites

open access: yesAdvanced Functional Materials, EarlyView.
A tunable composite contractile assembly (CCA) is developed that can permit or resist contraction without changing cell‐adhesion and density, unlike collagen whose inherent coupling of these ECM cues limits its use as a platform in contractility studies.
Karen L. Xu   +7 more
wiley   +1 more source

All‐Aqueous Pullulan Fibers Enabling Visible‐to‐Near‐Infrared Waveguiding with Mechanical and Thermal Resilience

open access: yesAdvanced Functional Materials, EarlyView.
Pullulan, a biomass‐derived polysaccharide, is transformed into transparent optical fibers using a solvent‐free borax hydrogel‐spinning method. The fibers outperform PMMA with ≈200 MPa tensile strength and 200 °C stability, while uniquely guiding visible‐to‐NIR light and enabling additive‐free humidity sensing.
Yuya Fukata   +4 more
wiley   +1 more source

Fitting heavy-tailed mixture models with CVaR constraints

open access: yesDependence Modeling, 2019
Standard methods of fitting finite mixture models take into account the majority of observations in the center of the distribution. This paper considers the case where the decision maker wants to make sure that the tail of the fitted distribution is at ...
Pertaia Giorgi, Uryasev Stan
doaj   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

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