Results 181 to 190 of about 31,239 (262)

Coupling of Physical Protection and Molecular Composition Drives Carbon Sequestration Divergence in Soils Planted With Different Tea Varieties

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Tea plantations represent significant carbon (C) sinks in agricultural landscapes, yet how variety‐specific organic inputs are associated with the molecular composition and stability of soil organic carbon (SOC) within aggregate hierarchies remains unclear.
Jingchao Zhou   +9 more
wiley   +1 more source

Optimized Fertilization Balances Microbial Carbon and Nitrogen Use Efficiency: Evidence From Microbial Communities

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Optimized fertilization involving reduced mineral N input and organic substitution can alter resource stoichiometry, microbial carbon use efficiency (CUE) and nitrogen use efficiency (NUE). However, how fertilization‐induced resource imbalance reshapes microbial community to regulate CUE and NUE remains unclear. We conducted a field experiment
Yazhen Chen   +11 more
wiley   +1 more source

Minds Versus Codes: Triangulating Neurophysiological and Qualitative Responses to AI‐Generated Versus Human‐Made Video Advertisements

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT This experimental study compares how consumers engage with AI‐generated and human‐created advertisements, specifically examining patterns of visual attention, emotional and cognitive responses, attitudes toward AI, and whether emotional resonance fosters brand trust or future behavioral intentions.
Mariia Shitova   +3 more
wiley   +1 more source

Advancing Artificial Intelligence in Myopia Management: From Predicting Progression to Supporting Clinical Decisions

open access: yesMed Research, EarlyView.
The AI‐enabled multimodal framework for whole‐life myopia management. Graphical abstract illustrates the transition of myopia care from premyopia to myopia, high myopia, and pathologic myopia. Multimodal data, including demographic and refractive information, genetic, behavioral and environmental factors, ophthalmic imaging, and omics profiles, can be ...
Zewei Zhang   +6 more
wiley   +1 more source

Deep‐DSP2: Cross‐Domain Deep Learning Direct MR Signal Prediction for RF Shielding‐Free MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a deep learning approach to electromagnetic interference (EMI) elimination in the presence of dynamically varying electromagnetic coupling relationships (i.e., spectral domain transfer functions) between MRI receive and EMI sensing coils for RF shielding‐free ultra‐low‐field (ULF) MRI.
Jiahao Hu   +3 more
wiley   +1 more source

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