Results 121 to 130 of about 137,583 (290)
This study develops a novel miRNA‐based framework for estimating the time since deposition of semen stains, combining small RNA sequencing with machine learning. Time‐dependent miRNA modules were identified using Mfuzz clustering and WGCNA, followed by a multi‐stage feature selection pipeline that reduced 261 candidate miRNAs to a minimal 7‐miRNA panel.
Meiming Cai +11 more
wiley +1 more source
This article proposes an online solution to address the problem of closed‐loop system identification using multiple recursive least squares estimation protocols.
Amirreza Zaman, Wolfgang Birk
doaj +1 more source
From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe +2 more
wiley +1 more source
What Explains International Interest Rate Co‐Movement?
ABSTRACT The international co‐movement of interest rates reflects correlated business‐cycle fluctuations, largely driven by demand shocks. Monetary policy in advanced economies follows domestic mandates—inflation and the output gap—and does not respond to foreign policy shocks.
Annika Camehl, Gregor von Schweinitz
wiley +1 more source
A FIX-MEMORY RECURSIVE LEAST-SQUARE METHOD [PDF]
openaire +1 more source
This study found that parent internalising symptoms predicted internalising symptoms in younger children, with no evidence of child‐driven effects. Among adolescents, mental health symptoms showed bidirectional associations with parent internalising symptoms, particularly for externalising symptoms.
Martha Oakes +4 more
wiley +1 more source
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou +10 more
wiley +1 more source
AI Epistemic Disengagement and Consumer Dependence: An Augmentation‐Substitution Framework
ABSTRACT Artificial intelligence has become consumers' primary decision‐making resource, raising two questions: how do consumers justify accepting AI as a trusted source of reasoning, and when does this acceptance maintain rather than forfeit their capacity to think independently?
Vasilis Theoharakis +1 more
wiley +1 more source
Quantitative Diffusion and T2 Mapping Using RF‐Modulated Phase‐Based Gradient Echo Imaging
ABSTRACT Purpose To introduce and evaluate the feasibility of a novel RF‐phase modulated gradient echo (GRE) method for quantitative diffusion MRI, aimed at mitigating geometric distortion and enabling high‐resolution 3D quantitative diffusion/T2 mapping as a complementary alternative to conventional DWI.
Daiki Tamada +4 more
wiley +1 more source
A Novel Acceleration Estimation Algorithm Based on Least Square Method
Acceleration signal plays an important role in motion control systems. One of the main ways to obtain the acceleration is to calculate or estimate it from measured velocity.
LI Jianghong +3 more
doaj

