Results 71 to 80 of about 51,976 (170)

Schroedinger cat-like states by conditional measurements on a beam-splitter

open access: yes, 1996
A scheme for generating Schr\"{o}dinger cat-like states of a single-mode optical field by means of conditional measurement is proposed. Feeding into a beam splitter a squeezed vacuum and counting the photons in one of the output channels, the conditional
A. La Porta   +30 more
core   +1 more source

Influence of Moisture on Electrical Properties of Fibre‐Reinforced Polymer Core Rod in the Decay‐Like Degraded Composite Insulator

open access: yesHigh Voltage, EarlyView.
ABSTRACT Abnormal heating due to decay‐like degradation in composite insulators is influenced by environmental moisture, but the relationship between the internal degradation status of the core rods and their electrical properties under varying humidity conditions remains poorly understood. In this work, the decay‐like degraded fibre‐reinforced polymer
Shuqi Liu   +8 more
wiley   +1 more source

On Integrability and Exact Solvability in Deterministic and Stochastic Laplacian Growth

open access: yes, 2019
We review applications of theory of classical and quantum integrable systems to the free-boundary problems of fluid mechanics as well as to corresponding problems of statistical mechanics.
Loutsenko, Igor, Yermolayeva, Oksana
core   +1 more source

neonSoilFlux: An R package for continuous sensor‐based estimation of soil CO2 fluxes

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Accurate quantification of soil carbon fluxes is essential to reduce uncertainty in estimates of the terrestrial carbon sink. However, these fluxes vary over time and across ecosystem types and so, it can be difficult to estimate them accurately across large scales.
John Zobitz   +11 more
wiley   +1 more source

Composite marginal likelihood estimation of higher‐order diagnostic classification models under high dimensionality

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley   +1 more source

SDFs from Unoriented Point Clouds using Neural Variational Heat Distances

open access: yesComputer Graphics Forum, EarlyView.
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier   +5 more
wiley   +1 more source

Mixing It Up: Inflation at Risk

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract Understanding how risk factors shape the economic outlook is essential for guiding policy decisions. This paper develops a flexible framework that decomposes distributional risk forecasts of macro‐economic variables into underlying contributions and supports the construction of interpretable risk measures.
MAXIMILIAN SCHRÖDER
wiley   +1 more source

Density‐Valued ARMA Models by Spline Mixtures

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley   +1 more source

Reinforcement Learning for Jump‐Diffusions, With Financial Applications

open access: yesMathematical Finance, EarlyView.
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley   +1 more source

Root Structural and Metabolic Plasticity Confers Tolerance to Salinity in Wild Barley Species Grown Under Waterlogging

open access: yesPlant, Cell &Environment, EarlyView.
ABSTRACT Salinity combined with waterlogging is a major abiotic stress that severely limits crop growth and yield. We investigated species‐specific adaptations to salinity under constant waterlogging conditions in the wild halophytic barleys Hordeum marinum and H. glaucum, compared with the cultivated H. vulgare.
Stanislav Isayenkov   +10 more
wiley   +1 more source

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