Results 121 to 130 of about 15,053,099 (290)
Advanced Science, EarlyView.Mice can transfer the learned rule of spatial working memory to guide similar but novel tasks. Hippocampal CA3 populational activity dynamically reorganize during memory generalization, shifting from task‐specific to generalized coding over testing days. Sparse yet redundant neural representations of CA3 enable rule transfer and cognitive map formation,
Da Song +8 more
wiley +1 more source
Is the Polonia Rate Predictable on WIBOR O/N?
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 2020 The paper reports on whether the Polonia rate showing the price of one-day money in Poland is predictable on WIBOR O/N, its banking industry mid-morning forecast.
Paweł Miłobędzki
doaj
Bootstrap for estimating the mean squared error of the spatial EBLUP [PDF]
This work assumes that the small area quantities of interest follow a Fay-Herriot model with spatially correlated random area effects. Under this model, parametric and nonparametric bootstrap procedures are proposed for estimating the mean squared error ...
Isabel Molina +2 more
core
Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants
Advanced Science, EarlyView.A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr +6 more
wiley +1 more source
Advanced Science, EarlyView.PTEN knockdown activates AKT phosphorylation, promoting Nrf2 nuclear translocation and STAT3 activation, which upregulates GPX4 and antioxidant enzymes HO‐1, SOD1, SOD2, and NQO1. These coordinated changes reduce lipid peroxidation and ROS, inhibit ferroptosis, and ultimately ameliorate cognitive impairment in APP/PS1 transgenic mice, highlighting a ...
Da‐Wei Wang +5 more
wiley +1 more source
Advanced Science, EarlyView.ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
Closing the evidence gap: reddemcee, a fast adaptive parallel tempering sampler
Astronomy & AstrophysicsContext. Markov chain Monte Carlo (MCMC) excels at sampling complex posteriors, but traditionally lags behind nested sampling in accurate evidence estimation, which is crucial for model comparison in astrophysical problems. Aims.
Peña R Pablo A., Jenkins James S.
doaj +1 more source
Small Area Estimation using EBLUPs under the Nested Error Regression Model
Statistica SinicaEstimating characteristics of domains (referred to as small areas) within a population from sample surveys of the population is an important problem in survey statistics. In this paper, we consider model-based small area estimation under the nested error regression model.
Lyu, Ziyang, Welsh, A. H.
openaire +3 more sources
Prediction of a Small Area Mean for an Infinite Population when the Variance Components Are Random [PDF]
In this paper, we propose a new model with random variance components for estimating small area characteristics. Under the proposed model, we derive the empirical best linear unbiased estimator, an approximation to terms of order and an estimator whose ...
Stefan, Marius
core
Small area estimation using nested-error models and auxiliary data
, 1983 A prediction approach to small area estimation is presented. The procedure uses survey and auxiliary data and is based on the assumption of a nested-error model.
Harter, Rachel
core +1 more source