Results 131 to 140 of about 23,386,387 (281)

Bayesian Assessment of Lorenz and Stochastic Dominance in Income Distributions [PDF]

open access: yes
Hypothesis tests for dominance in income distributions has received considerable attention in recent literature. See, for example, Barrett and Donald (2003), Davidson and Duclos (2000) and references therein.
Duangkamon Chotikapanich   +1 more
core  

Testing Downside Risk Efficiency Under Market Distress [PDF]

open access: yes, 2008
In moments of distress downside risk measures like Lower Partial Moments (LPM) are more appropriate than the standard variance to characterize risk. The goal of this paper is to study how to compare portfolios in these situations.
Gonzalo, Jesús   +3 more
core  

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

open access: yesAdvanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

open access: yesAdvanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source

Geometric Formalization of First-Order Stochastic Dominance in $N$ Dimensions: A Tractable Path to Multi-Dimensional Economic Decision Analysis

open access: yesCoRR
This paper introduces and formally verifies a novel geometric framework for first-order stochastic dominance (FSD) in $N$ dimensions using the Lean 4 theorem prover. Traditional analytical approaches to multi-dimensional stochastic dominance rely heavily on complex measure theory and multivariate calculus, creating significant barriers to formalization
openaire   +3 more sources

Nanomaterials for Allergy Diagnosis and Treatment: Advances, Opportunities and Translational Challenges

open access: yesAdvanced Science, EarlyView.
Nanomaterials offer dual applications in allergy management. For diagnosis, nanomaterials enhance analytical sensitivity and improve detection in specific IgE and functional assays such as the basophil activation test (BAT). For allergen‐specific immunotherapy, nanomaterials enable allergen masking and controlled release, and effectively modulate the ...
Madiha Habib   +8 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

Stochastic Programs with First-Order Dominance Constraints Induced by Mixed-Integer Linear Recourse

open access: yes, 2007
We propose a new class of stochastic integer programs whose special features are dominance constraints induced by mixed-integer linear recourse. For these models, we establish closedness of theconstraint set mapping with the underlying probability measure as parameter.
Gollmer, Ralf   +2 more
openaire   +1 more source

Multivariate Discrete First Order Stochastic Dominance [PDF]

open access: yes
This paper characterizes the principle of first order stochastic dominance in a multivariate discrete setting. We show that a distribution f first order stochastic dominates distribution g if and only if f can be obtained from g by iteratively shifting ...
Lars Peter Østerdal, Finn Tarp
core  

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

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