Results 111 to 120 of about 1,063,535 (299)
Dispersive functions and stochastic orders [PDF]
, 1997 Generalizations of the hazard functions are proposed and general hazard rate orders are introduced. Some stochastic orders are defined as general ones. A unified derivation of relations between the dispersive order and some other orders of distributions ...
Bartoszewicz, Jarosław
core
Advanced Functional Materials, EarlyView.A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam +10 more
wiley +1 more source
Robust stochastic stability [PDF]
A strategy profile of a game is called robustly stochastically stable if it is stochastically stable for a given behavioral model independently of the specification of revision opportunities and tie-breaking assumptions in the dynamics.
Carlos Alós–Ferrer, Nick Netzer
core
Advanced Functional Materials, EarlyView.Schematic illustration of the engineered RN@FDT for multimodal tumor therapy. a) Fabrication of FD&DOX/TFA‐loaded RGD‐NNV (RN@FDT) and the light‐triggered disassemble of RN@FDT. b) After internalized by tumor cells, RN@FDT are disintegrated under NIR‐II laser irradiation to boost PTT and induce cell apoptosis.
Jiahui Zhang +16 more
wiley +1 more source
Inverse stochastic orders and generalized Gini functionals
, 2005 We investigate the class of stochastic orders induced by Generalized Gini Functionals (GGF) or Yaari (1987) [The dual theory of choice under risk. Econometrica, 55, 95-115] dual functionals and identify the maximal classes of functionals associated with ...
P. MULIERE, F. MACCHERONI, ZOLI, Claudio
core +2 more sources
Properties of Stochastic Arrangement Increasing and Their Applications in Allocation Problems
Risks, 2018 There are extensive studies on the allocation problems in the field of insurance and finance. We observe that these studies, although involving different methodologies, share some inherent commonalities.
Wei Wei
doaj +1 more source
Advanced Functional Materials, EarlyView.The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
Advanced Functional Materials, EarlyView.HfxZr1−xO2${\rm Hf}_x{\rm Zr}_{1-x}{\rm O}_2$ offers CMOS‐compatible nanoscale ferroelectricity yet suffers from a high Ec${\rm E}_c$ demanding large operating voltages. A unified phase‐field framework spanning AFE/FE/DE phases shows how FE grains soften neighboring AFE grains over λ$\lambda$ ≈$\approx$ 22–37 nm.
P. Pankaj +4 more
wiley +1 more source
Multivariate hazard orderings of discrete random vectors [PDF]
The task of comparing two random vectors with respect to some multivariate stochastic ordering usually involves an infinite number of comparisons. Dyckerhoff and Mosler (1997) proved that, when the random vectors have finite supports, this task, for some
Colangelo Antonio
core
Load Distributing Metamaterials Via Discrete Optimization
Advanced Functional Materials, EarlyView.Mechanical metamaterials are computationally optimized to homogenize transmitted forces by minimizing the spread of reaction forces. The resulting architectures transform localized loading into broader, more uniform force distributions and experimentally demonstrate robust load spreading under quasi‐static and impact loading.
Andrea Detry +6 more
wiley +1 more source