Results 91 to 100 of about 3,477,506 (374)
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
Global Nitrogen Deposition Promotes Carbon Sink Formation in Terrestrial Ecosystems
Advanced Science, EarlyView.Nitrogen deposition alleviates ecosystem N limitation and enhances carbon sinks. Using 829 observations, we show 36% of deposited N is retained globally (39.15 Tg N yr−1), with distinct NHx and NOy contributions. This retention drives a terrestrial C sink of 0.88 Pg C yr−1 (25.48%), highlighting the importance of pool‐specific C:N stoichiometry ...
Lei Li +6 more
wiley +1 more source
Spatial quantile regression in analysis of mortality
Acta Universitatis Lodziensis. Folia Oeconomica, 2016 The paper concerns mortality in Poland. The aim of the article is to identify factors determining average life length of men and women in 66 subregions of Poland.
Grażyna Trzpiot +1 more
doaj +1 more source
Advanced Science, EarlyView.The authors complement bovine pan‐SV with massive novel structural variations (SVs) identified through long‐read sequencing of 83 globally distributed cattle breeds. Repetitive sequence‐mediated SVs (rep‐SV) exhibit distinct dynamic patterns throughout cattle sub‐speciation and/or domestication processes, including uneven distribution between chr‐X and
Zhifan Guo +16 more
wiley +1 more source
Assessment and significance of the frequency domain for trends in annual peak streamflow
Journal of Flood Risk Management, 2021 Risk management of nonstationary floods depends on an understanding of trends over a range of flood frequencies representing small (frequent) to large (infrequent) floods. Quantile regression is applied to the annual peak streamflow distributions at 2683
Christopher Konrad, Daniel Restivo
doaj +1 more source
Multistate quantile regression models [PDF]
Statistics in Medicine, 2019 We develop regression methods for inference on conditional quantiles of time‐to‐transition in multistate processes. Special cases include survival, recurrent event, semicompeting, and competing risk data. We use an ad hoc representation of the underlying stochastic process, in conjunction with methods for censored quantile regression.
Alessio Farcomeni, Marco Geraci
openaire +5 more sources
Nonlinear quantile mixed models
, 2019 In regression applications, the presence of nonlinearity and correlation among observations offer computational challenges not only in traditional settings such as least squares regression, but also (and especially) when the objective function is non ...
Geraci, Marco
core +1 more source
Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation
Advanced Science, EarlyView.This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar +10 more
wiley +1 more source
Advanced Science, EarlyView.This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang +5 more
wiley +1 more source
EFEKTIVITAS REGRESI KUANTIL DALAM MENGATASI PONTENSIAL PENCILAN
Barekeng, 2020 Quantile regression as a robust regression method can be used to overcome the impact of unusual cases on regression estimates such as the presence of potential outliers in the data.
Netti Herawati
doaj +1 more source