Results 171 to 180 of about 11,028,576 (294)
Mitigating light pollution impacts on arthropods based on light-emitting diode properties. [PDF]
van Koppenhagen N +3 more
europepmc +1 more source
A study of the methode to dimming controle for electronic ballast
Kazuyuki Uratani, Fuminori Nakaya
openaire +2 more sources
Circular Economy Disclosure in Europe's Automotive Sector: An Analysis of Reporting Patterns
ABSTRACT According to the European Circular Economy Action Plan, the automotive industry plays a key role in Europe's transition to a circular economy (CE). Industry‐specific legislation and upcoming reporting guidelines raise the question of the current CE implementation level, which is still an underexplored research field.
Johannes Bauer +2 more
wiley +1 more source
Coronal dimmings and what they tell us about solar and stellar coronal mass ejections. [PDF]
Veronig AM +12 more
europepmc +1 more source
ABSTRACT This study examines whether media coverage of climate change action (SDG 13) by FTSE 100 firms is associated with business performance in the following year. Drawing on 406,052 news articles published between 2013 and 2022, the study adopts a novel bibliometric keyword‐extraction approach to identify the valence of SDG 13‐related coverage of ...
Liane W. Y. Lee +2 more
wiley +1 more source
Citizen science reveals temporally structured insect attraction and mitigation efficacy under artificial light at night. [PDF]
Reinhard JE +10 more
europepmc +1 more source
ABSTRACT Many brands have added highly incongruent products to their product lines, such as Lay's Chicken and Waffles Potato Chips, Blueberry Cheerios, and Carrot Cake Oreos. This paper investigates how highly incongruent products influence the choice of pre‐existing items in the product line.
Brittney Stephenson +4 more
wiley +1 more source
Climatic niche conservatism shapes the macroevolution, extinction, and survivorship of crocodile-line archosaurs. [PDF]
Chiarenza AA +5 more
europepmc +1 more source
Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley +1 more source

