Results 21 to 30 of about 15,951,579 (313)

Optimizing high-resolution Community Earth System Model on a heterogeneous many-core supercomputing platform [PDF]

Geoscientific Model Development, 2020
With semiconductor technology gradually approaching its physical and thermal limits, recent supercomputers have adopted major architectural changes to continue increasing the performance through more power-efficient heterogeneous many-core systems ...
S. Zhang, S. Zhang, S. Zhang, H. Fu, H. Fu, H. Fu, L. Wu, L. Wu, Y. Li, H. Wang, H. Wang, H. Wang, Y. Zeng, X. Duan, X. Duan, W. Wan, L. Wang, Y. Zhuang, H. Meng, K. Xu, K. Xu, P. Xu, P. Xu, L. Gan, L. Gan, Z. Liu, Z. Liu, S. Wu, Y. Chen, H. Yu, S. Shi, L. Wang, L. Wang, S. Xu, W. Xue, W. Xue, W. Liu, W. Liu, Q. Guo, J. Zhang, G. Zhu, Y. Tu, J. Edwards, J. Edwards, A. Baker, A. Baker, J. Yong, M. Yuan, Y. Yu, Q. Zhang, Q. Zhang, Z. Liu, M. Li, M. Li, M. Li, D. Jia, G. Yang, G. Yang, G. Yang, Z. Wei, J. Pan, P. Chang, P. Chang, G. Danabasoglu, G. Danabasoglu, S. Yeager, S. Yeager, N. Rosenbloom, N. Rosenbloom, Y. Guo   +69 more
doaj   +1 more source

An Unprecedented Set of High‐Resolution Earth System Simulations for Understanding Multiscale Interactions in Climate Variability and Change

Journal of Advances in Modeling Earth Systems, 2020
We present an unprecedented set of high‐resolution climate simulations, consisting of a 500‐year pre‐industrial control simulation and a 250‐year historical and future climate simulation from 1850 to 2100. A high‐resolution configuration of the Community
Ping Chang, Shaoqing Zhang, Gokhan Danabasoglu, Stephen G. Yeager, Haohuan Fu, Hong Wang, Frederic S. Castruccio, Yuhu Chen, James Edwards, Dan Fu, Yinglai Jia, Lucas C. Laurindo, Xue Liu, Nan Rosenbloom, R. Justin Small, Gaopeng Xu, Yunhui Zeng, Qiuying Zhang, Julio Bacmeister, David A. Bailey, Xiaohui Duan, Alice K. DuVivier, Dapeng Li, Yuxuan Li, Richard Neale, Achim Stössel, Li Wang, Yuan Zhuang, Allison Baker, Susan Bates, John Dennis, Xiliang Diao, Bolan Gan, Abishek Gopal, Dongning Jia, Zhao Jing, Xiaohui Ma, R. Saravanan, Warren G. Strand, Jian Tao, Haiyuan Yang, Xiaoqi Wang, Zhiqiang Wei, Lixin Wu   +43 more
doaj   +1 more source

Ashukm/Diabetes-Prediction-Model: First release of diabetes prediction model

, 2021
Diabetes Prediction Model (v0.1-beta) The Diabetes Prediction Model project creates a machine learning model which uses the taxonomic nodes identified from a human gut microbiome sample to predict if any given sample is diabetic or non ...
Ashwini Anirudh Rao
core   +1 more source

Wind Waves in the Mediterranean Sea: An ERA5 Reanalysis Wind-Based Climatology

Frontiers in Marine Science, 2021
A climatology of the wind waves in the Mediterranean Sea is presented. The climate patterns, their spatio-temporal variability and change are based on a 40-year (1980–2019) wave hindcast, obtained by combining the ERA5 reanalysis wind forcing with the ...
Francesco Barbariol, Silvio Davison, Francesco Marcello Falcieri, Rossella Ferretti, Rossella Ferretti, Antonio Ricchi, Antonio Ricchi, Mauro Sclavo, Alvise Benetazzo   +8 more
doaj   +1 more source

Multi-model high-resolution analysis of Tropical-Like Cyclone Daniel with WRF and ICON: peculiarities and sensitivity to convection schemes [PDF]

Weather and Climate Dynamics
Medicane Daniel (September 2023) featured a multi-stage transition from a baroclinic disturbance to a compact tropical-like vortex, culminating in a rapid barotropic alignment on 9 September, challenging short-range prediction. This study delivers a side-
P. Serafini, P. Serafini, A. Ricchi, A. Ricchi, C. Marsigli, C. D'Amico, C. D'Amico, M. Nastasi, M. Nastasi, R. Pelosini, R. Ferretti, R. Ferretti   +11 more
doaj   +1 more source

Clinical prediction models [PDF]

British Journal of Surgery, 2016
Clinical prediction models (also known as prognostic models, risk scores) are mathematical equations that relate multiple predictors (risk factors, co-variates) to the probability of having a disease or condition (diagnostic) or the probability that an event will happen in the future (prognostic).
Ranstam, J, Cook, J, Collins, G
openaire   +3 more sources

Prediction models in urology [PDF]

Nature Clinical Practice Urology, 2007
Predicting risk is an inherent feature of clinical practice. How likely is a man with a given PSA level to have prostate cancer? Can lymph node dissection be safely avoided in a patient with testicular cancer? Should chemotherapy be given after cystectomy for bladder cancer?
openaire   +2 more sources

PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies [PDF]

, 2019
Clinical prediction models combine multiple predictors to estimate risk for the presence of a particular condition (diagnostic models) or the occurrence of a certain event in the future (prognostic models).

core   +1 more source

HOPE: an arbitrary-order non-oscillatory finite-volume shallow water dynamical core with automatic differentiation [PDF]

Geoscientific Model Development
This study presents the High Order Prediction Environment (HOPE), an automatically differentiable, non-oscillatory finite-volume dynamical core for shallow water equations on the cubed-sphere grid.
L. Zhou, L. Zhou, L. Zhou, W. Xue, X. Shen, X. Shen   +5 more
doaj   +1 more source

Predict the model of a camera

CoRR, 2020
In this work we address the problem of predicting the model of a camera based on the content of their photographs. We use two set of features, one set consist in properties extracted from a Discrete Wavelet Domain (DWD) obtained by applying a 4 level Fast Wavelet Decomposition of the images, and a second set are Local Binary Patterns (LBP) features ...
openaire   +2 more sources