Results 171 to 180 of about 94,899 (285)
Investigating Cloud–Radiation Error Compensations Stemming From Climate Model Calibration
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 10, October 2026.Abstract Compensating errors are an obstacle to the development of climate models. We wonder if systematic errors in simulated cloud properties might result from forced error compensation due to targeting top‐of‐atmosphere radiative fluxes in the tuning process while using an inaccurate radiative transfer (RT) parameterization. Here, we investigate the
M. Coulon‐Decorzens +2 more
wiley +1 more source
Predictive values of IGF1, IGFBP3 and PCT for patients with sepsis-induced acute respiratory distress syndrome. [PDF]
SAGE Open MedXia Y, Dong Y, Qian S, Tong Q.
europepmc +1 more source
Infrared‐Guided Super‐Resolution of Remotely Sensed Passive Microwave Sea Surface Temperature
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract High‐resolution sea surface temperature (SST) is essential for weather forecasting and climate applications. Passive microwave (MW) SST offers largely cloud‐penetrating coverage but is coarse and spatially smoothed, whereas infrared (IR) SST resolves fine‐scale structures but is frequently cloud‐obscured.
Wenjie Zhou, Xiaofeng Yang
wiley +1 more source
Association between lactate-to-albumin ratio and in-hospital mortality in ICU patients with acute ischemic stroke: a retrospective cohort study. [PDF]
Front NeurolYang X, Zhang Y, Ou M, Liu Y.
europepmc +1 more source
Improving AquaCrop Root‐Zone Soil Moisture by Assimilating SMAP Surface Soil Moisture
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 10, October 2026.Abstract Root‐zone soil moisture (RZSM) strongly controls crop development in process‐based crop models, yet most satellite missions observe only near‐surface moisture. We propose a framework to assimilate soil moisture active passive (SMAP) Level‐2 surface soil moisture retrievals into AquaCrop to improve RZSM over European croplands (0.1° resolution,
Michel Bechtold +6 more
wiley +1 more source
Development and validation of machine learning models to predict 30-day mortality in patients with cardiac arrest complicated by acute kidney injury. [PDF]
Clinics (Sao Paulo)Yuan M, Zhong L, Min J, Ni M, Yao Y.
europepmc +1 more source
Therapeutic Apheresis and Dialysis, Volume 30, Issue 5, Page 690-697, October 2026.Abstract Introduction This study aims to investigate patient factors affecting the rate of plasma volume target attained in hypertriglyceridemic pancreatitis (HTG‐AP) patients undergoing double filtration plasmapheresis (DFPP). Methods A retrospective analysis of 82 HTG‐AP‐interpreted patients from January 2019 to April 2024 compared target plasma ...
Hui Zhang, Chenqiang Zhu, Yunlong Wu
wiley +1 more source