Results 211 to 220 of about 10,970 (308)

Advancing Energy Materials by In Situ Atomic Scale Methods

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss   +21 more
wiley   +1 more source

Breaking the Durability–Power Trade‐Off: Boron‐Directed Faceted O3 Cathodes for High‐Rate Sodium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song   +9 more
wiley   +1 more source

Temporary Programs, Lasting Questions: Ad Hoc Assistance in the U.S. Farm Safety Net

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Large ad hoc assistance programs have returned to U.S. farm policy since 2017, operating alongside a more developed safety net built around federally subsidized crop insurance, Title I commodity programs, and standing disaster assistance. This paper reviews the renewed use of ad hoc assistance, documents its recent scale using USDA data, and ...
Alejandro Plastina   +1 more
wiley   +1 more source

Adaptive sliding mode control for chaotic system synchronization using neural networks. [PDF]

open access: yesSci Rep
Turab N   +8 more
europepmc   +1 more source

Farmers' Preferences for Gene Editing Crops and Influencing Factors

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele   +1 more
wiley   +1 more source

A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification. [PDF]

open access: yesSci Rep
Kumar S   +8 more
europepmc   +1 more source

Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs

open access: yesAgribusiness, EarlyView.
ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple   +2 more
wiley   +1 more source

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