Results 101 to 110 of about 6,503 (283)

Analysis of normalized radar cross section (sigma-O) signature of Amazon rain forest using SEASAT scatterometer data

, 1984
The normalized radar cross section (NRCS) signature of the Amazon rain forest was SEASAT scatterometer data. Statistics of the measured (NRCS) values were determined from multiple orbit passes for three local time periods.
Sweet, J. L., Bracalente, E. M.
core  

Artificial Intelligence‐Based Body Composition Analysis Reveals Sex‐Specific Prognostic Markers and Their Clinical Value in Gastric Cancer: A Multicenter Study

Advanced Science, EarlyView.
This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li, Tingting Liu, Qian Yang, Zhiqing Zhang, Xiaofang Guo, Xiang Wang, Yihan Zhang, Limin Ge, Yu Su, Wenjun Wu, Weihua Guo, Zheng Wang, Lian Yang, Yanfeng Niu   +13 more
wiley   +1 more source

Beyond d‐Band Catalysis: A Critical Review and Descriptor Framework for Rare‐Earth Engineering in Lithium–Sulfur Batteries

Advanced Science, EarlyView.
Rare‐earth catalysts regulate lithium–sulfur battery chemistry through f‐orbital–mediated interactions, enabling simultaneous polysulfide adsorption and catalytic conversion on conductive carbon hosts. This synergistic control suppresses the shuttle effect, accelerates redox kinetics, and guides stable Li2S nucleation, providing a mechanistic framework
Fan Wang, Shihzad Shakil, Guozhi Wu, Jiarui Huang, Hanhui Lei, Terence Xiaoteng Liu   +5 more
wiley   +1 more source

Coastal wind retrievals from corrected QuikSCAT Normalized Radar Cross Sections

Remote Sensing of Environment
A new correction scheme named “noise regularization”, aiming at mitigating land contamination in SeaWinds scatterometer coastal Normalized Radar Cross Sections (s) is presented. The scheme is based on an analytical Cumulative Distribution Function (CDF) matching technique.
Giuseppe Grieco, Marcos Portabella, Ad Stoffelen, Anton Verhoef, Jur Vogelzang, Andrea Zanchetta, Stefano Zecchetto   +6 more
openaire   +2 more sources

Engineered Exosomal miR‐146a‐5p Reprograms BMSC Fate and Restores Mitochondrial Homeostasis in Glucocorticoid‐Induced Osteonecrosis of Femoral Head

Advanced Science, EarlyView.
Exosomal miR‐146a‐5p is identified as a pivotal regulator in steroid‐induced osteonecrosis. Its reduction activates NF‐κB signaling, compromises mitophagy, and disrupts mitochondrial bioenergetics, resulting in autophagic disequilibrium. Engineered exosomes delivering miR‐146a‐5p reinstate mitochondrial function, augment oxidative phosphorylation and ...
Zehui Lv, Xuejie Cai, Yiming Xu, Xingdong Yang, Ruoying Wang, Han Wang, Yixin Bian, Jiawei Xu, Jiao Lu, Lulu Liu, Yingjie Wang, Jibin Song, Bin Feng, Xisheng Weng   +13 more
wiley   +1 more source

Closed‐Loop Radiative Cooling Mulch Upcycled From Agricultural Residues for Efficient Soil Heat–Water Stress Mitigation

Advanced Science, EarlyView.
Conventional passive radiative cooling films rely on costly feedstocks and energy‐intensive fabrication, with poor end‐of‐life compatibility in agriculture. To address this challenge, a sustainable radiative cooling mulch (SRCM) is developed from waste maize leaves via spontaneous hydrogen‐bond self‐assembly.
Hao Li, Dong Lv, Yang Fu, Cancheng Jiang, Wenqi Wang, Ze Li, Lin Liang, Jiayu Du, Jie Tan, Yihao Zhu, Wenjie Liu, Lamfeddal Kouisni, Kaixin Lin, Chi Yan Tso   +13 more
wiley   +1 more source

Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis

Advanced Science, EarlyView.
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee, Jumi Kim, Taehan Yoon, So Hyun Kwon, Su Chan Park, Dohyun Chun, Dohyeong Kim, Eun Jung Park, Hyunwoo Kim, Ji Min Lee   +9 more
wiley   +1 more source

Detecting Coastal Aggregation of Macroplastic Litter Using Satellite X-Band SAR Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This study summarizes the lessons learned during the July 2024 experimental campaign, where targets, consisting of floating plastic and natural debris, were jointly observed in a South Italy lake by drone and satellite instruments.
Ferdinando Nunziata, Nicola Angelo Famiglietti, Anna Verlanti, Andrea Buono, Antonino Memmolo, Luigi di Michele, Annamaria Vicari, Alessandro Fanti, Maurizio Migliaccio   +8 more
doaj   +1 more source

Modulation of Tidal Channel Signatures on SAR Images Over Gyeonggi Bay in Relation to Environmental Factors

Remote Sensing, 2018
In this study, variations of radar backscatter features of the tidal channel in Gyeonggi Bay in the Eastern Yellow Sea were investigated using spaceborne synthetic aperture radar (SAR) images.
Tae-Sung Kim, Kyung-Ae Park, Moonjin Lee
doaj   +1 more source

Effect of Faraday Rotation on L-Band Ocean Normalized Radar Cross Section and Wind Speed Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
Observational evidence that L -band backscatter measurements are distorted by Faraday rotation (FR) is presented using match-ups consisting of the phased-array type L -band synthetic aperture radar-2 (PALSAR-2) data, scatterometer winds, and FR estimated from total electron contents (TEC) and magnetic fields. Investigating these data reveals that the
Osamu Isoguchi, Kenta Ishizuka, Takeo Tadono, Takeshi Motohka, Masanobu Shimada   +4 more
openaire   +1 more source