Results 101 to 110 of about 3,032,172 (354)

Senescent Synovial Intimal Fibroblasts Aggravate Osteoarthritis by Regulating Macrophage Polarization and Chondrocyte Phenotype Through ANGPTL4‐α5β1 Axis

open access: yesAdvanced Science, EarlyView.
Senescent synovial intimal fibroblasts (SIF) are identified as key drivers of osteoarthritis. They promote M1 macrophage polarization and cartilage degeneration via the ANGPTL4–α5β1 axis, regulated by transcription factors EGR1 and ATF3. Pharmacological inhibition of this pathway alleviates disease, revealing SIF senescence as a promising therapeutic ...
Muhai Deng   +7 more
wiley   +1 more source

Multi‐Tissue Genetic Regulation of RNA Editing in Pigs

open access: yesAdvanced Science, EarlyView.
This study presents the first multi‐tissue map of RNA editing and its genetic regulation in pigs. By integrating RNA editing profiles, edQTL mapping, GWAS, and cross‐species comparisons, this work establishes RNA editing as a distinct regulatory layer linking genetic variation to complex traits, highlighting its functional and evolutionary significance.
Xiangchun Pan   +21 more
wiley   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

open access: yesAdvanced 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

ESTIMATING THE WORST SCENARIO OF NET CASH OUTFLOW OF NON-MATURITY DEPOSITS BASED ON QUANTILE REGRESSION

open access: yesСоціально-економічні відносини в цифровому суспільстві, 2020
The article considers models that are the most commonly used to estimate the cash outflows of nonmaturity deposits: core level of deposit balances, Geometric Brownian Motion (GBM), and Cash Flow at Risk (CFaR).
Ігор Волошин   +1 more
doaj   +1 more source

Using Quantile Regression for Duration Analysis [PDF]

open access: yes
Quantile regression methods are emerging as a popular technique in econometrics and biometrics for exploring the distribution of duration data. This paper discusses quantile regression for duration analysis allowing for a flexible specification of the ...
Fitzenberger, Bernd, Wilke, Ralf A.
core  

An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments

open access: yesAdvanced Science, EarlyView.
This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan   +4 more
wiley   +1 more source

A Subset of Pro‐inflammatory CXCL10+ LILRB2+ Macrophages Derives From Recipient Monocytes and Drives Renal Allograft Rejection

open access: yesAdvanced Science, EarlyView.
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin   +16 more
wiley   +1 more source

Quantitative Comparison of Ad‐Valorem Equivalents for Non‐Tariff Trade Measures: WTO Versus TRAINS

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Non‐tariff measures (NTMs) play a growing role in trade policy. Economists quantify NTMs by calculating their Ad Valorem Equivalents (AVE), typically employing one of two global NTM datasets: TRAINS from UNCTAD or WTO notifications. While TRAINS data better measure NTMs, their limited coverage over countries and time is inadequate for many ...
Sionegael Ikeme   +3 more
wiley   +1 more source

Quantile Regression Learning with Coefficient Dependent lq-Regularizer

open access: yesMATEC Web of Conferences, 2018
In this paper, We focus on conditional quantile regression learning algorithms based on the pinball loss and lq-regularizer with 1≤q≤2. Our main goal is to study the consistency of this kind of regularized quantile regression learning. With concentration
Sun Pengju, Li Meng, Sun Hongwei
doaj   +1 more source

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