Results 101 to 110 of about 35,745,185 (300)
Advanced Science, EarlyView.Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke +32 more
wiley +1 more source
A Poisson Process AutoDecoder for X-Ray Sources
The Astrophysical JournalX-ray observing facilities, such as the Chandra X-ray Observatory and the eROSITA, have detected over a million astronomical sources associated with high-energy phenomena.
Yanke Song +3 more
doaj +1 more source
Epidemiology, Biostatistics and Public HealthBackground: Prolonged periods of extreme heat, usually referred to as heat waves, have a significant impact on health, especially in the most vulnerable populations.
Roberta Sorbi, Maria Simonetta Bernabei
doaj +1 more source
"Multivariate stochastic volatility" [PDF]
We provide a detailed summary of the large and vibrant emerging literature that deals with the multivariate modeling of conditional volatility of financial time series within the framework of stochastic volatility.
Manabu Asai +2 more
core
Advanced Science, EarlyView.An electronics‐free smart scleral lens passively monitors dry eye disease‐related tear biomarkers through colorimetric sensing of chloride, pH, and ocular surface temperature. Smartphone‐assisted image analysis enables quantitative interpretation, providing a simple, non‐invasive strategy for ocular health monitoring without integrated electronics ...
Ziheng Wang +15 more
wiley +1 more source
Capturing fluctuations in multivariate intensive longitudinal data
Methods in PsychologyThis paper introduces a novel method for intensive longitudinal data incorporating dimension reduction and time series analyses. The method capitalizes on the notion of determining distance or similarity parameters in the data.
Katerina M. Marcoulides, Hannah Hamling
doaj +1 more source
On observational variance learning for multivariate Bayesian time series and related models [PDF]
This thesis is concerned with variance learning in multivariate dynamic linear models (DLMs). Three new models are developed in this thesis. The first one is a dynamic regression model with no distributional assumption of the unknown variance matrix.
Triantafyllopoulos, K.
core
Advanced Science, EarlyView.DIXDC1 drives bladder cancer progression by binding and stabilizing DLAT. This axis enhances NEK7 and CCNE2 mRNA stability to promote proliferation and lymphatic metastasis, while limiting copper‐induced DLAT oligomerization to reduce cuproptosis sensitivity, identifying DIXDC1 as a potential target linking metastasis with cuproptosis resistance ...
Hongqiong Li +17 more
wiley +1 more source
The Interplay of Curvature, Geometry, and Topology Shapes Tissue Organisation in Epithelial Shells
Advanced Science, EarlyView.Purely geometric 3D Voronoi models predict the organisation of epithelial shells. The interplay of curvature, geometry, and topology enriches the number of pentagons in shells with lower number of cells. Small MDCK cysts and Mouse embryos match the top polygonal configurations in a compactness‐based ranking derived from the Voronoi model. In conclusion,
Laura Morato +9 more
wiley +1 more source
Advanced Science, EarlyView.Oligosaccharides with defined glycosidic bonds drive divergent gut microbial succession and shape unique metabolic profiles. Absolute time‐series profiling with Bayesian generalized Lotka–Volterra modeling identifies bond‐specific microbial responders, while monoculture validation and metaproteomics reveal linkage‐matched transport and cleavage modules.
Xiaoxuan Lu +10 more
wiley +1 more source