Results 21 to 30 of about 136 (87)

Abstract [PDF]

open access: yesRes Pract Thromb Haemost, 2022
Research and Practice in Thrombosis and Haemostasis, Volume 6, Issue S1, October 2022.
europepmc   +3 more sources

UEG Week 2023 Poster Presentations [PDF]

open access: yesUnited European Gastroenterol J, 2023
United European Gastroenterology Journal, Volume 11, Issue S8, Page 535-1498, October 2023.
europepmc   +2 more sources

Enhance Low Level Temperature and Moisture Profiles Through Combining NUCAPS, ABI Observations, and RTMA Analysis

open access: yesEarth and Space Science, Volume 8, Issue 6, June 2021., 2021
Abstract Thermodynamic information from low levels in the atmosphere is crucial for operational weather forecasts and meteorological researchers. The NOAA Unique Combined Atmospheric Processing System (NUCAPS) sounding products have been proven beneficial to fill the data gap between synoptic radiosonde observations (RAOBs).
Zheng Ma   +6 more
wiley   +1 more source

EACR 2024: Innovative Cancer Science, 10-13 June 2024, Rotterdam, Netherlands. [PDF]

open access: yesMol Oncol
Molecular Oncology, Volume 18, Issue S1, Page 1-495, June 2024.
europepmc   +2 more sources

UEG Week 2025 Poster Presentations [PDF]

open access: yesUnited European Gastroenterol J
United European Gastroenterology Journal, Volume 13, Issue S8, Page S803-S1476, October 2025.
europepmc   +2 more sources

An Accelerated Discrete Ordinate Method (ADOM) Developed for Scalar Radiative Transfer by Merging Adjacent Clear‐Sky Atmospheric Layers: Forward and Jacobians Derivation

open access: yesJournal of Advances in Modeling Earth Systems, Volume 17, Issue 12, December 2025.
Abstract In this study, an Accelerated Discrete Ordinate Method (ADOM) is proposed to enhance the computational efficiency of multi‐layer radiative transfer (RT) simulations while maintaining a high accuracy. ADOM applies the Discrete Ordinate Method (DOM) only in scattering layers, while the radiances for the adjacent clear‐sky layers are merged and ...
Yi‐Ning Shi, Fuzhong Weng
wiley   +1 more source

Fucoidan From Brown Algae as a Functional Food Ingredient: A Promising Anticancer Agent

open access: yeseFood, Volume 6, Issue 4, August 2025.
Fucoidan, a bioactive polysaccharide from brown algae, inhibits receptor tyrosine kinase (RTK) activation and vascular endothelial growth factor (VEGF) signaling, suppressing the phosphoinositide 3‐kinase/protein kinase B/mammalian target of rapamycin (PI3K/Akt/mTOR) and RAS/RAF/mitogen‐activated protein kinase/extracellular signal‐regulated kinase ...
Muhammad Umer Khan   +7 more
wiley   +1 more source

Abstracts [PDF]

open access: yesCancer Sci
Cancer Science, Volume 116, Issue S1, Page 1-1975, January 2025.
europepmc   +2 more sources

Improved High‐Latitude Light Precipitation Estimation Using a Combined Radiometer‐Cloud Radar Retrieval

open access: yesJournal of Geophysical Research: Atmospheres, Volume 130, Issue 4, 28 February 2025.
Abstract The high‐latitude oceans are problematic for satellite estimations of precipitation due to the high frequency of occurrence of light drizzle and snowfall. Microwave radiometric observations are sensitive to integrated cloud water path but lack skill in distinguishing precipitation onset from cloud water and cloud ice due to radiation ...
Spencer R. Jones, Christian D. Kummerow
wiley   +1 more source

Impacts of Offline Nonlinear Bias Correction Schemes Using the Machine Learning Technology on the All‐Sky Assimilation of Cloud‐Affected Infrared Radiances

open access: yesJournal of Advances in Modeling Earth Systems, Volume 16, Issue 12, December 2024.
Abstract Bias correction (BC) of the cloud‐affected infrared (IR) radiances is one of the most difficult challenges in the all‐sky data assimilation. This study introduces an offline nonlinear bias correction model based on the machine learning (ML) technology of Random Forest to enhance the impacts of Fengyun‐4A Advanced Geostationary Radiation Imager
Xuewei Zhang   +3 more
wiley   +1 more source

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