Results 131 to 140 of about 117,319,651 (289)

Estimating SUR Tobit Model while errors are gaussian scale mixtures: with an application to high frequency financial data [PDF]

open access: yes
This paper examines multivariate Tobit system with Scale mixture disturbances. Three estimation methods, namely Maximum Simulated Likelihood, Expectation Maximization Algorithm and Bayesian MCMC simulators, are proposed and compared via generated data ...
Qian, Hang
core  

m5C Reader ALYREF Promotes the Progression of Endometrial Cancer by Activating the XRCC6‐Mediated Wnt/β‐catenin Signaling Pathway

open access: yesAdvanced Science, EarlyView.
This study identifies ALYREF as an oncogenic m5C reader in endometrial cancer. ALYREF recognizes NSUN2‐mediated m5C modification on XRCC6 mRNA to enhance transcript stability and increase XRCC6 expression. Elevated XRCC6 activates Wnt/β‐catenin signaling, resulting in accelerated tumor cell proliferation, migration, invasion, and xenograft tumor growth.
Linlin Hao   +8 more
wiley   +1 more source

An Asymmetric Block Dynamic Conditional Correlation Multivariate GARCH Model [PDF]

open access: yes
The Block DCC model for determining dynamic correlations within and between groups of financial asset returns is extended to account for asymmetric effects.
Vargas, Gregorio A.
core  

Raman Analysis of RNA Nucleotide Strands From SARS‐CoV‐2 Variants and Subvariants: A Step Forward in the Definition of “Raman Genome”

open access: yesAdvanced Science, EarlyView.
Main Raman signals in RNA, related to helical backbone, ribofuranose ring, and nitrogenous bases, are affected by secondary structures that cause hyperchromic effects and significantly alter the Raman intensity. ABSTRACT Raman spectra of RNA nucleotide strands extracted from 20 SARS‐CoV‐2 strains, including the original Japanese isolate, Alpha, Beta ...
Giuseppe Pezzotti   +11 more
wiley   +1 more source

POWERLIB: SAS/IML Software for Computing Power in Multivariate Linear Models [PDF]

open access: yes
The POWERLIB SAS/IML software provides convenient power calculations for a wide range of multivariate linear models with Gaussian errors. The software includes the Box, Geisser-Greenhouse, Huynh-Feldt, and uncorrected tests in the "univariate" approach ...
James C. Slaughter   +5 more
core  

Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH [PDF]

open access: yes
DAMGARCH is a new model that extends the VARMA-GARCH model of Ling and McAleer (2003) by introducing multiple thresholds and time-dependent structure in the asymmetry of the conditional variances.
Michael McAleer, Massimiliano Caporin
core   +4 more sources

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

open access: yesAdvanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang   +5 more
wiley   +1 more source

A multivariate ultrastructural errors-in-variables model with equation error

open access: yes
This paper deals with asymptotic results on a multivariate ultrastructural errors-in-variables regression model with equation errors. Sufficient conditions for attaining consistent estimators for model parameters are presented.
Bolfarine, Heleno   +2 more
core  

ROS/pH‐Responsive Phenylboronic Acid–Chitosan Nanoparticles Improve Silymarin‐Mediated Hepatoprotection After Hepatectomy With Gut‐Liver Axis‐Associated Responses

open access: yesAdvanced Science, EarlyView.
Bioactive phenylboronic acid–chitosan nanoparticles enable responsive silymarin delivery for post‐hepatectomy liver protection. The nanoplatform integrates antioxidant and antibacterial functions, improves hepatic recovery, and is associated with coordinated shifts in gut microbiota, metabolites, cytokines, and hepatic proteomic pathways, suggesting a ...
Jinjin Tong   +9 more
wiley   +1 more source

Brain Network Dynamics of Local and Global Predictive Processing in Aging

open access: yesAdvanced Science, EarlyView.
Separation of concurrent whole‐brain networks in source‐reconstructed magnetoencephalography (MEG) data suggests that healthy aging reorganizes, rather than uniformly attenuates, neural responses elicited from hierarchical auditory violations. Enhanced early sensory deviance processing alongside reduced higher‐order cognitive responses suggests a large‐
Mathias Houe Andersen   +9 more
wiley   +1 more source

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