Results 31 to 40 of about 838 (123)
ABSTRACT There is limited integrated evaluation of nitrogen (N) and irrigation management strategies for improving maize yield and productivity using crop models. The effects of N and irrigation on maize yield and productivity under centre pivot (CPI) and subsurface drip irrigation (SDI) using the CERES‐Maize model were investigated. N treatments were (
Ebrahim Amiri +2 more
wiley +1 more source
ABSTRACT Lateral carbon transport induced by soil erosion is a key component of the global carbon cycle. Over the past 50 years, ecological restoration projects in the Loess Plateau of China have increased vegetation coverage. However, the effects of land use, precipitation variability, and landscape factors on lateral carbon transport remain unclear ...
Ganggang Ke +6 more
wiley +1 more source
Integrating Machine Learning and StoDyM for Check Dam Site Selection on the Loess Plateau, China
ABSTRACT Severe soil erosion in the Loess Plateau has led to significant land degradation, threatening agricultural productivity and ecosystem stability. Check dams, as a critical soil–water conservation measure, have proven effective in mitigating sediment loss and reclaiming farmland.
Hongwei Ma +3 more
wiley +1 more source
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
ABSTRACT Purpose Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative imaging, but high‐resolution 3D reconstructions remain computationally expensive due to the NUFFTs required at every iteration, and the commonly used Locally Low Rank (LLR) regularization becomes ineffective at high acceleration.
Yonatan Urman +4 more
wiley +1 more source
ABSTRACT Purpose To develop SAFE, a self‐calibrated framework to estimate B1+ and B0 field inhomogeneities directly from conventional magnetic resonance fingerprinting (MRF) acquisitions and improve its quantification accuracy. Methods SAFE utilized a two‐step approach. First, two physics‐informed image markers are extracted from the MRF data to create
Mengze Gao +13 more
wiley +1 more source
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella +4 more
wiley +1 more source
T‐800: An 800 Hz Data Glove for Precise Hand Gesture Tracking
Hand motion capture provides critical insights into human dexterity and facilitates advancements in robotic manipulation, yet existing systems are limited by a trade‐off between temporal resolution and visual occlusion. Here, the authors present T‐800, a high‐bandwidth data glove achieving synchronized full‐hand motion capturing at 800 Hz.
Haoyang Luo +7 more
wiley +1 more source
The CD47–SIRPα axis has emerged as a critical innate immune checkpoint that suppresses macrophage‐mediated phagocytosis through a canonical “don't eat me” signal and enables tumor immune evasion. We comprehensively summarize the structural and biological features of CD47 and the molecular mechanisms underlying CD47‐mediated regulation of phagocytosis ...
Ruimei Zhou +4 more
wiley +1 more source
ABSTRACT Background Diabetes mellitus (DM) induces multifaceted cellular and structural alterations in the male reproductive system, thereby predisposing to infertility. Objectives This study aimed to evaluate the morphological, stereological, biochemical, histopathological, and ultrastructural changes induced by DM in testicular tissue, and to ...
Ayşenur Kaya Mutlu, Süleyman Kaplan
wiley +1 more source

