Results 131 to 140 of about 91,156 (303)

A Novel Two‐Stage Flexible Flow Shop Batch Scheduling Model for Grinding Workshops

open access: yesNaval Research Logistics (NRL), EarlyView.
ABSTRACT The growing need for data storage in data centers has increased the demand for mechanical hard disks due to their low cost and high reliability. Aluminum substrates are the most popular base plates for mechanical hard disks because of their high hardness and low cost.
Jun Xu   +4 more
wiley   +1 more source

Local-global neural networks: a new approach for nonlinear time series modelling [PDF]

open access: yes
In this paper, the Local Global Neural Networks model is proposed within the context of time series models. This formulation encompasses some already existing nonlinear models and also admits the Mixture of Experts approach.
Carlos Eduardo Pedreira   +2 more
core  

Linking differences in personality to demography in the wandering albatross

open access: yesOikos, EarlyView.
Population dynamics are shaped by individual differences. With a good understanding of the relationships between individual differences and vital rates, population models can be improved to yield more realistic and detailed demographic projections. Personality is expected to shape individual differences in performance.
Joanie Van de Walle   +7 more
wiley   +1 more source

Global analysis of annual survival among shorebirds reveals a negative effect of migration distance and a decline in recent decades

open access: yesOikos, EarlyView.
Annual survival is a key demographic parameter driving population trends in wildlife populations. However, despite numerous species‐specific or regional studies, global reviews of the factors affecting the survival of declining taxa remain scarce. Here, we investigated annual survival of fledged immature and adult shorebirds, a globally‐distributed and
Guillaume Dillenseger   +5 more
wiley   +1 more source

LA CONDITION L.A.N (LOCAL ASYMPTOTIC NORMALITY)

open access: yes, 2015
Dans ce travail nous nous sommes penchés sur la condition de la normalité asymptotique qui est un outil puissant introduit par Ibragimov et Has’minskii. Cette condition permet notamment de résoudre des problèmes statistiques concernant l’estimation, pour des modèles divers et des problèmes réels dans la physique, la médecine,... Les démonstrations sont
openaire   +1 more source

Trapped in the web: network architectures spread coevolution and shape adaptation

open access: yesOikos, EarlyView.
Adaptation is critical for biodiversity to persist under global change. Within ecological communities, species often face tradeoffs between adapting to shifting abiotic conditions and navigating the complex selective pressures imposed by interaction networks.
Alexandre Fuster‐ Calvo   +5 more
wiley   +1 more source

Leaf heat tolerance in a native Californian shrub responds in expected and unexpected ways to differences in range, season, and sunlight exposure

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Earth's ecosystems are experiencing wide‐ranging impacts from global climate change, including increased average and extreme temperatures. These temperature shifts can drastically affect plant physiology, threatening the future of even common plant species. Here, we focus on photosynthetic function in a native Southern California shrub species.
Anna K. M. Bowen   +8 more
wiley   +1 more source

Anticlastic Curvature and Material Freedom

open access: yesphysica status solidi (b), EarlyView.
Anticlastic curvature occurs in bent bars for positive Poisson's ratio; synclastic curvature occurs for negative Poisson's ratio provided the material is homogeneous and elastic. Some planar negative Poisson's ratio materials exhibit anticlastic saddle curvature rather than convex curvature in bending due to effects of 3D structure.
Roderic Lakes
wiley   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Managing the SDG‐Aligned Energy Transition in OECD Countries: How Do Economic Growth, Income Inequality, and Environmental Protection Expenditures Impact Energy Transition?

open access: yesSustainable Development, EarlyView.
ABSTRACT In recent years, transition to renewable energy has emerged as a vital strategy for achieving sustainable development and reducing environmental degradation. Only when backed by a solid institutional and macroeconomic context can economic growth serve as a stimulus for the development of renewable energy.
Azad Erdem   +3 more
wiley   +1 more source

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