Results 121 to 130 of about 137,583 (290)

Decoding temporal miRNA signatures of semen under in vitro exposure for forensic time since deposition estimation using machine learning‐driven modeling

open access: yesInterdisciplinary Medicine, EarlyView.
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

Online estimation of PID controllers and plant dynamics via multi‐recursive least squares estimation from closed‐loop I/O data

open access: yesIET Control Theory & Applications
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

open access: yesJournal of Applied Econometrics, EarlyView.
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?

open access: yesJournal of Applied Econometrics, EarlyView.
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

Understanding bidirectional and transactional relations in parent and offspring mental health: Using COVID‐19 pandemic data to gain insights

open access: yesJCPP Advances, EarlyView.
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

A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach

open access: yesJournal of Medical Radiation Sciences, Volume 72, Issue 1, Page 93-105, March 2025.
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

open access: yesPsychology &Marketing, EarlyView.
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

open access: yesMagnetic Resonance in Medicine, EarlyView.
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

open access: yes机车电传动, 2018
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  

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