Results 141 to 150 of about 70,459 (296)

From the brink of extinction to regulation: northern Europe's white‐tailed eagles now face density dependence and climate constraints after rapid population growth

Oikos, EarlyView.
Population growth reflects the combined influence of regulation and density‐independent factors operating through demographic processes. Under exceptional circumstances (e.g. populations recovering from near‐extinction), growth may initially be weakly regulated but typically slows as negative density dependence (NDD) sets in.
Bård‐Jørgen Bårdsen, Elisabeth Hansen, Jan Ove Bustnes   +2 more
wiley   +1 more source

Suavizamiento de los vértices de un polígono por medio de un spline cónico

Revista Integración, 1997
We prove that every irreducible conic can be parametrically represented by two rational quadratic functions. An algorithm for smoothing the vertices of a poligonal by a conic spline with continuous tangent is proposed.
Victoria Hernádez Mederos
doaj  

Ultrasound‐Assisted Epoxy Resin Curing Monitored by Impedance Spectroscopy

Polymer Engineering &Science, EarlyView.
Ultrasound enhances epoxy cure rates via localized heating without altering cure kinetics. Impedance spectroscopy provides a direct, non‐destructive measure of cure progression, enabling accurate mapping of degree of cure in real time. ABSTRACT Epoxy resins are widely used in aerospace and automotive manufacturing as structural adhesives and matrices ...
Daniel Csehngeri, Anoush Poursartip, Edmond Cretu   +2 more
wiley   +1 more source

Using dendroclimatic analysis of exotic deciduous conifers in an arboretum to document tree growth in response to climate change, Northeast Ohio, USA

PLANTS, PEOPLE, PLANET, EarlyView.
Rising temperatures and wetter conditions in the Midcontinent of North America are influencing climate responses in trees. Dendroclimatological analyses of four exotic deciduous conifer species from Secrest Arboretum, Northeast Ohio help identify past, present and future climate‐tree interactions.
Gregory Wiles, Nicholas Wiesenberg, Srushti Chaudari, Wenshuo Zhao, Mazvita Chikomo, Benjamin Gaglioti, Meagen Pollock   +6 more
wiley   +1 more source

Sidelobe Level Reduction in the ACF of NLFM Signals Using the Smoothing Spline Method

IEEE Access
The high level of sidelobes in the autocorrelation function of the nonlinear frequency modulation signal is a challenge. One of the conventional methods to reduce the sidelobe levels is to use the principle of stationary phase.
Roohollah Ghavamirad, Ramezan Ali Sadeghzadeh, Mohammad Ali Sebt   +2 more
doaj   +1 more source

The non‐hydrostatic option of the ECMWF global weather forecast model: Improvements for kilometre‐scale modelling

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents improvements to the non‐hydrostatic version of the European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), enabling stable global simulations at 1.4‐km resolution. A systematic comparison with the hydrostatic version at resolutions from 9 to 1.4 km shows that non‐hydrostatic effects emerge in ...
Jozef Vivoda, Inna Polichtchouk, Michail Diamantakis, Filip Váňa   +3 more
wiley   +1 more source

HISAPS: High-order smoothing spline with automatic parameter selection and shape constraints

SoftwareX
Obtaining a good functional fit with noisy data is difficult. This is especially true when the derivative of the fitted function is needed, which is often the case in engineering applications. One solution is to use smoothing splines.
Peter H. Broberg, Esben Lindgaard, Asbjørn M. Olesen, Simon M. Jensen, Niklas K.K. Stagsted, Rasmus L. Bjerg, Riccardo Grosselle, Iñigo Urcelay Oca, Brian L.V. Bak   +8 more
doaj   +1 more source

A Reproducing Kernel Perspective of Smoothing Spline Estimators [PDF]

Spline functions have a long history as smoothers of noisy time series data, and several equivalent kernel representations have been proposed in terms of the Green's function solving the related boundary value problem.
Silvia Bianconcini
core  

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source

Bivariate postprocessing of wind vectors

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner, David Jobst, Annette Möller, Claudia Czado   +3 more
wiley   +1 more source