Results 41 to 50 of about 60,079 (193)

The Age‐Dependent Resident Myonuclear Multi‐Omic Response to an Acute Skeletal Muscle Hypertrophic Stimulus in Mice

open access: yesAdvanced Science, EarlyView.
Resident myonuclei are the molecular “control centers” for large multinuclear muscle fibers. It is presumed that, with aging, these control centers become compromised and contribute to delayed or blunted muscle adaptive potential. This study is a detailed roadmap that exposes how young versus aged myonuclei respond to a hypertrophic loading stimulus ...
Pieter J. Koopmans   +8 more
wiley   +1 more source

Targeted Thrombolysis via CCR2‐Engineered Macrophage‐Mimicking Microbubbles Safely Ablates Venous, Arterial, and Microvascular Thrombosis

open access: yesAdvanced Science, EarlyView.
CCR2‐Enhanced Macrophage Membrane–Camouflaged Microbubbles for MCP‐1–Mediated Thrombus Targeting and Ultrasound‐Triggered Urokinase Release. ABSTRACT The clinical management of thrombosis, a primary cause of death worldwide, is hampered by the limitations of current thrombolytic agents, including short half‐life and high risk of off‐target bleeding ...
Buying Li   +8 more
wiley   +1 more source

Tail Behaviour of the Euro [PDF]

open access: yes
This paper empirically analyses risk in the Euro relative to other currencies. Comparisons are made between a sub period encompassing the final transitional stage to full monetary union with a sub period prior to this.
Cotter, John
core   +4 more sources

PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping

open access: yesAdvanced Science, EarlyView.
scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su   +7 more
wiley   +1 more source

Max-stable models for multivariate extremes [PDF]

open access: yes, 2012
Multivariate extreme-value analysis is concerned with the extremes in a multivariate random sample, that is, points of which at least some components have exceptionally large values.
Segers, Johan
core  

Optoelectronic‐Driven van der Waals Ferroelectric Materials‐Based Memory Devices for Retinomorphic and In‐Sensory Hardware

open access: yesAdvanced Science, EarlyView.
2D ferroelectrics materials enabling non‐volatile polarization memory, optical excitability, and neuromorphic processing within a unified material and provides a mechanistic analysis of polarization‐induced band modulation, including photon‐assisted domain reorientation, switching kinetics, and interfacial dipole coupling that governs resistive ...
Parthasarathi Pal   +3 more
wiley   +1 more source

Levy-stable distributions revisited: tail index > 2 does not exclude the Levy-stable regime

open access: yes, 2001
Power-law tail behavior and the summation scheme of Levy-stable distributions is the basis for their frequent use as models when fat tails above a Gaussian distribution are observed.
DuMouchel W. H.   +3 more
core   +1 more source

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

open access: yesAdvanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár   +12 more
wiley   +1 more source

Temperature and Farm Labor in Nigeria

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT We estimate the impact of temperature shocks on the composition of farm labor in rural Nigeria using a nationally representative household panel survey. Leveraging plausibly exogenous year‐to‐year variation in growing season temperatures, we find that warmer temperatures significantly alter farm labor composition, prompting a substantial shift
Andu Berha
wiley   +1 more source

Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing

open access: yesAdvanced Intelligent Systems, EarlyView.
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang   +6 more
wiley   +1 more source

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