Results 31 to 40 of about 4,767 (172)
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
ADMM-Based Low-Complexity Off-Grid Space-Time Adaptive Processing Methods
In this paper, we consider the problems of off-grid effects elimination and fast implementations for sparse recovery based space-time adaptive processing (SR-STAP) methods.
Zhongyue Li, Tong Wang
doaj +1 more source
ROS‐Responsive H2S Hydrogel (HAPPF) Coordinated Regeneration for High‐Quality Diabetic Wound Repair.A self‐regulating dynamic hydrogel is developed to deliver a fluorogenic H2S donor in response to excessive ROS. Released H2S acts as a master regulator to resolve chronic inflammation (M2 polarization), restore VEGF‐driven angiogenesis, and rebalance ...
Xuyang Ning +7 more
wiley +1 more source
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley +1 more source
Knowledge Aided Covariance Matrix Estimation via Gaussian Kernel Function for Airborne SR-STAP
In practical airborne radar, the interference signals in training snapshots usually lead to inaccurate estimation of the clutter covariance matrix (CCM) in space-time adaptive processing (STAP), which seriously degrade radar performance and even occur ...
Mingxin Liu +5 more
doaj +1 more source
A ZIF‐90 nanocarrier delivers dinotefuran and suppresses NlABCG3 and NlABCH1 in resistant Nilaparvata lugens. This system combines pH/ATP‐triggered release with enhanced foliar retention, improving efficacy while sparing honeybees and promoting rice growth, offering a promising resistance‐breaking strategy.
Chengshuai He +9 more
wiley +1 more source
A large‐area, noise‐resilient multiplexed triboelectric sensing garment based on a multilayer shielded architecture and SnS2 nanoflower‐engineered hybrid materials enables interference‐suppressed, high‐fidelity full‐body motion tracking, achieving 0.13% signal misrecognition, 57 dB electromagnetic noise attenuation, and >1.5 N threshold force, while ...
Beibei Shao +14 more
wiley +1 more source
Radiometric Constraints on the Timing, Tempo, and Effects of Large Igneous Province Emplacement
Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Jennifer Kasbohm +2 more
wiley +1 more source
ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia +4 more
wiley +1 more source
Visual sensor networks (VSNs) usually generate a low-resolution (LR) frame-sequence due to energy and processing constraints. These LR-frames are not very appropriate for use in certain surveillance applications.
Muhammad Sajjad +2 more
doaj +1 more source

