Results 91 to 100 of about 4,321,601 (325)
Annals of Gastroenterological Surgery, EarlyView.ABSTRACT Aim Spigelman stage IV duodenal polyposis (SP‐stage IV DP) is associated with high duodenal cancer risk in patients with familial adenomatous polyposis (FAP). This study evaluated the surgical and oncological outcomes of pancreas‐sparing total duodenectomy (PSTD) as a surgical prophylaxis for severe duodenal polyposis in FAP.
Takehiro Shiraishi +8 more
wiley +1 more source
Comparison of data-driven methods for downscaling ensemble weather forecasts [PDF]
Hydrology and Earth System Sciences, 2008 This study investigates dynamically different data-driven methods, specifically a statistical downscaling model (SDSM), a time lagged feedforward neural network (TLFN), and an evolutionary polynomial regression (EPR) technique for downscaling numerical ...
Xiaoli Liu, P. Coulibaly, N. Evora
doaj
Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets
Advanced Intelligent Discovery, EarlyView.An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh +4 more
wiley +1 more source
Journal of Geophysical Research: Atmospheres, 2020 We compare historical and end‐of‐century temperature and precipitation patterns over California from one dynamically downscaled simulation using the Weather Research and Forecast (WRF) model and two simulations statistically downscaled using Localized ...
D. Walton +7 more
semanticscholar +1 more source
A spatial analysis of multivariate output from regional climate models [PDF]
, 2011 Climate models have become an important tool in the study of climate and climate change, and ensemble experiments consisting of multiple climate-model runs are used in studying and quantifying the uncertainty in climate-model output.
Cressie, Noel +2 more
core +3 more sources
A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images
Advanced Intelligent Systems, EarlyView.CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai +4 more
wiley +1 more source
Hybrid downscaling of wind climates over the eastern USA
Environmental Research Letters, 2014 Weibull distribution parameters (scale and shape) of wind speeds at 85 stations over the eastern USA are downscaled from distribution parameters of large-scale climate variables drawn from both global and regional models.
S C Pryor, R J Barthelmie
doaj +1 more source
Dynamical and statistical downscaling of a global seasonal hindcast in eastern Africa
Climate Services, 2018 Within the FP7 EUPORIAS project we have assessed the utility of dynamical and statistical downscaling to provide seasonal forecast for impact modelling in eastern Africa.
Grigory Nikulin +19 more
doaj +1 more source
Improving Precipitation Estimation Using Convolutional Neural Network [PDF]
, 2019 Precipitation process is generally considered to be poorly represented in numerical weather/climate models. Statistical downscaling (SD) methods, which relate precipitation with model resolved dynamics, often provide more accurate precipitation estimates
AghaKouchak, A +3 more
core
Impacts of Climate Change and Climate Variability on Hydropower Potential in Data-Scarce Regions Subjected to Multi-decadal variability [PDF]
, 2019 To achieve sustainable development of hydroelectric resources, it is necessary to understand their availability, variability, and the expected impacts of climate change.
Bastien Dieppois +8 more
core +1 more source