Results 251 to 260 of about 499,224 (333)

Shedding Light on Common Misinterpretations in Photocatalyst Characterization

open access: yesAdvanced Energy Materials, EarlyView.
For heterogeneous semiconductor‐based photocatalysts, Marschall et al. highlight common misconceptions in material synthesis, characterization, and performance evaluation, together with detailed explanations on how to avoid them. The guidelines thus presented can help to improve reporting of photocatalyst performance in environmental applications, such
Roland Marschall   +2 more
wiley   +1 more source

The time-delay spectrum of GX 5-1 in its horizontal branch

open access: bronze, 1994
Brian Vaughan   +6 more
openalex   +1 more source

Climate Change Agricultural Comparative Advantage and the US Trade Balance

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Current science indicates that warming and elevated atmospheric CO2 will have ambiguous results for crop productivity depending on crop type and geographic location, whereas increased heat stress makes livestock and human labor less productive.
Elizabeth A. Fraysse   +2 more
wiley   +1 more source

Unidirectional motion of topological defects mediating continuous rotation processes. [PDF]

open access: yesNpj Spintron
Di Pietro Martínez M   +11 more
europepmc   +1 more source

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

open access: yesAgribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

open access: yesAdvanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren   +6 more
wiley   +1 more source

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