Results 61 to 70 of about 148,752 (225)
Advanced Science, EarlyView.IGF‐1 deficiency underlies poor ovarian response (POR), as reduced levels in follicular fluid and granulosa cells impair antral follicle formation and compromise reproductive outcomes. Including IGF‐1 as a biomarker significantly enhances the accuracy of models predicting both PORrisk and pregnancy success.
Zhu Hu +9 more
wiley +1 more source
A Novel 10‐Protein Score for Liver Fat Content Predicts Cardiovascular‐Kidney‐Metabolic Disease Risk
Advanced Science, EarlyView.A novel 10‐protein plasma score precisely quantifies liver fat, outperforming the fatty liver index. It robustly predicts the risk of numerous cardiovascular‐kidney‐metabolic diseases and integrates with genetic data for precision prevention, offering a practical alternative to magnetic resonance imaging (MRI). Abstract Liver fat content (LFC) is a key
Xiaoqin Gan +12 more
wiley +1 more source
Winter Holts Oscillatory Method: A New Method of Resampling in Time Series. [PDF]
South Asian Journal of Management Sciences, 2016 The core proposition behind this research is to create innovative methods of bootstrapping that can be applied in time series data. In order to find new methods of bootstrapping, various methods were reviewed; The data of automotive Sales, Market Shares ...
Muhammad Imtiaz Subhani +1 more
doaj +1 more source
Advanced Science, EarlyView.This study reveals the genetic and molecular mechanisms controlling grain size homeostasis through fine‐tuning OsGRX8 self‐expression by two natural negative feedback loops functioning in redox‐dependent or ‐independent manners and identifies two self‐regulatory haplotypes (SRHs) for the subspecies differentiation in rice.
Xingxing Li +13 more
wiley +1 more source
Frontiers in Bioengineering and Biotechnology, 2020 Injury risk curves (IRCs) represent the quantification of risk of adverse outcomes, such as a bone fracture, quantified by a biomechanical metric such as force or deflection.
Anjishnu Banerjee +4 more
doaj +1 more source
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis
, 2018 Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting splicing and resampling, copy-move detection algorithms excel in ...
Bappy, Jawadul H. +8 more
core
Advanced Science, EarlyView.This study identifies a conserved CsdA‐LaeB hub in Aspergillus fumigatus that regulates secondary metabolite fumiquinazoline C (FqC). Disrupting this hub enhances FqC production and virulence, shedding new light on the post‐transcriptional regulatory logic linking secondary metabolism to pathogenicity and offering alternative strategies for diagnostic ...
Zili Song +14 more
wiley +1 more source
A Bootstrap Procedure for Panel Datasets with Many Cross-Sectional Units [PDF]
This paper considers the issue of bootstrap resampling in panel datasets. The availability of datasets with large temporal and cross sectional dimensions suggests the possibility of new resampling schemes.
George Kapetanios
core
Advanced Science, EarlyView.This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Independent Resampling Sequential Monte Carlo Algorithms
, 2016 Sequential Monte Carlo algorithms, or Particle Filters, are Bayesian filtering algorithms which propagate in time a discrete and random approximation of the a posteriori distribution of interest.
Desbouvries, François +3 more
core +2 more sources