Results 141 to 150 of about 2,865,465 (299)
Pasta is a transcriptomic aging clock built on an age‐shift learning framework and trained on 17 000 samples across 21 datasets. It accurately predicts relative biological age across tissues, platforms, and species, captures stemness‐to‐senescence transitions, and identifies age‐modulatory perturbations.
Jérôme Salignon +6 more
wiley +1 more source
An Evaluation of the Exchange Rate Forecasting Performance of the New Keynesian Model [PDF]
This paper evaluates the dynamic out of sample nominal exchange rate forecasting performance of the canonical New Keynesian model of a small open economy.
Vitek, Francis
core
A soft hybrid multi‐wavelength PPG wearable acquires neonatal signals. Synchronized PPG and invasive ABP data are segmented into fixed windows. A 1D‐EfficientNet model predicts segment‐level SBP and DBP. Model performance is examined with retrospective subgroup analysis across acquisition conditions.
Wenqi Shi +12 more
wiley +1 more source
Unobserved Heterogeneity and Risk in Wage Variance: Does Schooling Provide Earnings Insurance? [PDF]
We apply a recently proposed method to disentangle unobserved heterogeneity from risk in returns to education. We replicate the original study on US men and extend to US women, UK men and German men. Most original results are not robust.
van Ophem, Hans +2 more
core
Bootstrapping unobserved component models
En esta tesis, proponemos el uso de técnicas bootstrap para incorporar la incertidumbre de la estimación de los parámetros en modelos de componentes inobservados expresado en un contexto de modelos de espacio de los estados. A lo largo de los capítulos usamos simulaciones Monte Carlo y datos reales para mostrar los resultados de los procedimientos ...
openaire +2 more sources
Artificial Intelligence‐Driven Inverse Design of Singlet Fission Candidates in the Acene family
In this work, we describe an AI‐driven inverse design platform predicting S1 and T1 energies across acenes with high accuracy. Using Hammett σ constants as descriptors and RNN models coupled with optimization algorithms, it efficiently explores ≈1014 structures, uncovering novel SF candidates from benzene to pentacene. Freely accessible at https://alba.
Rafael G. Uceda +9 more
wiley +1 more source
Topics in unobserved components models
This dissertation deals with structural time series models. Structural time series models refer to a class of parametric models that are specified directly in terms of unobserved components which capture essential features of the series, such as trend, cycle and seasonality.
openaire +2 more sources
Corramycin, a myxobacterial natural product antibiotic, exhibits potent bactericidal activity against multidrug‐resistant Mycobacterium tuberculosis. The compound hijacks bacterial transporters such as BacA and OppABCD to enter the cell and inhibits DNA synthesis through a previously unrecognized mode of DNA gyrase poisoning, locking the enzyme in an ...
Franziska Fries +25 more
wiley +1 more source
This work develops photocatalytic coatings for indoor formaldehyde removal on wood surfaces. It explores coating‐induced color variations and visual perception via eye‐tracking tests. Combined with XGBoost and Bayesian optimization, an intelligent design framework is established to guide the optimization of visually friendly wood photocatalytic ...
Xinyue Wei +8 more
wiley +1 more source
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley +1 more source

