Results 151 to 160 of about 6,349,849 (305)

SHADOW PRICE IMPLICATIONS OF SEVERAL STOCHASTIC DOMINANCE CRITERIA [PDF]

open access: yes
Stochastic dominance criteria can be, but seldom are explicitly, applied to problems having continuous variables. A previously developed model is modified to facilitate exploration of sets of shadow price vectors for decreasing (non-increasing) absolute ...
McCamley, Francis P., Rudel, Richard K.
core  

Targeting the KCNC3‐Dependent Anterior Insular‐Lateral Orbitofrontal Cortex Glutamatergic Circuit Attenuates Post‐Traumatic Anxiety

open access: yesAdvanced Science, EarlyView.
Frontal lobe traumatic brain injury is associated with hyperactivity of an insular–orbitofrontal circuit in both patients and mice. By combination of integrating functional imaging, cell‐type–specific circuit manipulation, single‐cell transcriptomics, and whole‐cell recordings, this work identifies the downregulation of the potassium channel KCNC3 in ...
Meng‐Ge Li   +10 more
wiley   +1 more source

Linear-Quadratic Jump-Diffusion Modeling with Application to Stochastic Volatility [PDF]

open access: yes
We aim at accommodating the existing affine jump-diffusion and quadratic models under the same roof, namely the linear-quadratic jump-diffusion (LQJD) class.
Peng Cheng, Olivier Scaillet
core  

Chromatin Packing Domain Engineering Through the Manipulation of Nuclear Cationic States

open access: yesAdvanced Science, EarlyView.
Manipulation of intranuclear divalent cation concentrations rapidly and reversibly remodels chromatin packing domains in living cells. Magnesium depletion disrupts domain compaction, heterochromatin organization, and transcriptional regulation, whereas magnesium loading promotes more compact and stable domains.
Cody L. Dunton   +13 more
wiley   +1 more source

Combining stochastic programming and optimal control to solve multistage stochastic optimization problems [PDF]

open access: yes
In this contribution we propose an approach to solve a multistage stochastic programming problem which allows us to obtain a time and nodal decomposition of the original problem.
Elio Canestrelli, Diana Barro
core  

Deep‐Learning‐Driven High‐Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon‐Limited Conditions

open access: yesAdvanced Science, EarlyView.
Highly overlapping fluorescent signals become distinguishable in photon‐limited living organisms via advanced imaging with intelligent reconstruction. The resulting in vivo hyperspectral imaging capability reveals nanoplastic uptake and circulation in live zebrafish, providing a new approach for studying complex biological and environmental processes ...
Renjian Li   +11 more
wiley   +1 more source

PARAMETRIC ESTIMATION OF DIFFUSION PROCESSES SAMPLED AT FIRST EXIT TIME [PDF]

open access: yes
This paper introduces a family of recursively defined estimators of the parameters of a diffusion process. We use ideas of stochastic algorithms for the construction of the estimators.
Jaime A. Londoño
core  

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

open access: yesAdvanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang   +5 more
wiley   +1 more source

Quasi-Maximum Likelihood estimation of Stochastic Volatility models. [PDF]

open access: yes
Changes in variance or volatility over time can be modelled using stochastic volatility (SV) models. This approach is based on treating the volatility as an unobserved vatiable, the logarithm of which is modelled as a linear stochastic process, usually ...
Ruiz, Esther
core  

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