Results 111 to 120 of about 21,138 (215)
We demonstrate the synergistic use of surface air temperature retrieved from AMSR-E (Advanced Microwave Scanning Radiometer on Earth observing satellite) and two vegetation indices (VIs) from the shorter wavelengths of MODIS (MODerate resolution Imaging ...
Woubet G. Alemu, Geoffrey M. Henebry
doaj +1 more source
This study presents a novel dual‐layer microneedle platform for psoriasis treatment, integrating rapid itch relief with sustained immunomodulatory and antibacterial effects. By combining difelikefalin and methotrexate‐zinc, this system effectively targets pruritus, epidermal hyperplasia, immune dysregulation, and infection, offering a promising ...
Xiaolong Xu +5 more
wiley +1 more source
Since the minimum antenna area constraint in the spaceborne single-channel synthetic aperture radar (SAR), it's difficult to achieve high-resolution and wide-swath imaging simultaneously.
Zirui Ma +3 more
doaj +1 more source
The assimilation of radiometer and synthetic aperture radar (SAR) data is a promising recent technique to downscale soil moisture products, yet it requires land surface parameters and meteorological forcing data at a high spatial resolution.
Kinya Toride +3 more
doaj +1 more source
Quality from Kent: Preliminary results from the analysis of fifth‐ to seventh‐century silver alloys
Abstract This paper explores early results from the chemical and lead isotope analysis of 30 silver‐alloy objects from southeast England dating between the fifth and seventh centuries CE, presenting limited aspects of the three main analyses that were conducted. First, a comparison of the results gained from surface x‐ray fluorescence (pXRF) values and
Toby F. Martin, Matthew J. Ponting
wiley +1 more source
MODIS-based Daily Lake Ice Extent and Coverage dataset for Tibetan Plateau
The Tibetan Plateau houses numerous lakes, the phenology and duration of lake ice in this region are sensitive to regional and global climate change, and as such are used as key indicators in climate change research, particularly in environment change ...
Yubao Qiu +6 more
doaj +1 more source
Moving beyond traditional trial‐and‐error, this review explores how integrating high‐throughput computational simulations, automated experimentation, and machine learning significantly accelerates perovskite solar cell development. By establishing intelligent, closed‐loop workflows, these synergistic technologies pave the way for fully autonomous ...
Yiming Wang +5 more
wiley +1 more source
The underappreciated roles of fog and dew on vegetation and biocrusts
Summary Fog and dew represent minor components of ecosystem water budgets in most ecosystems. However, fog and dew can play an essential role in ecosystem dynamics and are particularly important for water‐limited systems. In addition to serving as direct water inputs, fog and dew can influence microclimate and water redistribution, thereby promoting ...
Lixin Wang, Yue Li, Mengyun Sun, Na Qiao
wiley +1 more source
Reconstructing Marine Boundary Layer Jets Over the South China Sea Using Machine Learning
Abstract Marine boundary layer jets (MBLJs) over the South China Sea (SCS) play a critical role in coastal heavy rainfall, yet their structure remains uncertain due to limited wind observations over the ocean. Here, we develop a U‐Net–based reconstruction framework to estimate 950‐hPa winds from satellite‐derived sea surface winds, providing a ...
Yican Lin, Yu Du, Jiuke Wang
wiley +1 more source
Minimum-Redundancy Multimaster TomoSAR Framework for UAV-SAR 3-D Imaging
Unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) is a microwave imaging technology that can work all day and in all weather. It can conduct multiple observations at different spatial locations and realize 3-D imaging through the tomographic ...
Jian Zhao +7 more
doaj +1 more source

