Results 51 to 60 of about 7,934,994 (308)

An Inference Method for Global Sensitivity Analysis

Technometrics
Although there is a plethora of methods to estimate sensitivity indices associatedwith individual inputs, there is much less work on interaction effects of every order,especially when it comes to make inferences about the true underlying values ofthe indices.
Gildas Mazo, Laurent Tournier
openaire   +3 more sources

A Matlab toolbox for Global Sensitivity Analysis

Environmental Modelling & Software, 2015
AbstractGlobal Sensitivity Analysis (GSA) is increasingly used in the development and assessment of environmental models. Here we present a Matlab/Octave toolbox for the application of GSA, called SAFE (Sensitivity Analysis For Everybody). It implements several established GSA methods and allows for easily integrating others. All methods implemented in
Francesca Pianosi, Fanny Sarrazin, Thorsten Wagener   +2 more
openaire   +2 more sources

Global Sensitivity Analysis for Optimization with Variable Selection [PDF]

SIAM/ASA Journal on Uncertainty Quantification, 2019
The optimization of high dimensional functions is a key issue in engineering problems but it frequently comes at a cost that is not acceptable since it usually involves a complex and expensive computer code. Engineers often overcome this limitation by first identifying which parameters drive the most the function variations: non-influential variables ...
Spagnol, Adrien, Le Riche, Rodolphe, da Veiga, Sébastien   +2 more
openaire   +5 more sources

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba, Shweta Bansal, Tea Reljic, Allyne Montecillo‐Aguelo, Hamidah Alias, Farrah Amaranto, Maria Stella Aquino‐Calingasan, Bambang Ardianto, Eggi Arguni, Sally Blair, Thi Tam Dang, Maria Beatriz Gepte, Samanmalee Gunasekara, Andini Handayani, Miriam Kimpo, Catherine G. Lam, Nawachai Lertvivatpong, Sergio Licona, Ana Loseo, Ratha Mlis, Vivian Moreno Berrio, Nguyen Hoai Anh, Anna Lisa Ong‐Lim, Ha Thu Pham, Krishna Sagar Sharma, Bun Sereyleak, Sally Jane G. Velasco‐Aro, Su Yadana, Ambuj Kumar, Sheena Mukkada   +29 more
wiley   +1 more source

Relationship between sensory-processing sensitivity and global/local processing

, 2022
The purpose of the present study is to examine a relationship between sensory-processing sensitivity (SPS) and types of cognitive processing (local/global processing) by a Navon task. Based on the previous study (Jagiellowicz, Xu, Aron, Aron, Cao, Feng, &
Kai Kobayashi, Kanon Shimada, Kyoshiro Sasaki, Riho Akiyama   +3 more
core   +1 more source

Sobol tensor trains for global sensitivity analysis [PDF]

Reliability Engineering & System Safety, 2019
Sobol indices are a widespread quantitative measure for variance-based global sensitivity analysis, but computing and utilizing them remains challenging for high-dimensional systems. We propose the tensor train decomposition (TT) as a unified framework for surrogate modeling and global sensitivity analysis via Sobol indices.
Rafael Ballester-Ripoll, Enrique G. Paredes, Renato Pajarola   +2 more
openaire   +4 more sources

Global sensitivity analysis of parameters in DRAINMOD-S

Shui kexue jinzhan, 2015
In order to efficiently select the optimized parameters in DRAINMOD-S and figure out how the parametric variation influences the simulation results,sensitivity analysis of the parameters in the model was performed. Taking the pipe drainage desalting test
YU Shuang'en, WANG Ning, YU Zhiheng, WANG Jun   +3 more
doaj   +1 more source

Interannual variability and climatic sensitivity of global wildfire activity

Advances in Climate Change Research, 2021
Understanding historical wildfire variations and their environmental driving mechanisms is key to predicting and mitigating wildfires. However, current knowledge of climatic responses and regional contributions to the interannual variability (IAV) of ...
Rongyun Tang, Jiafu Mao, Mingzhou Jin, Anping Chen, Yan Yu, Xiaoying Shi, Yulong Zhang, Forrest M. Hoffman, Min Xu, Yaoping Wang   +9 more
doaj   +1 more source

Neurocognitive, School‐Based, and Quality of Life Outcomes for Youth With Sickle Cell Disease and Thalassemia: A Scoping Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling, Hakim Tokhi, Alexander A. Boucher   +2 more
wiley   +1 more source

APSIM NG Model Simulation of Soil N₂O Emission from the Dry-Crop Wheat Field and Its Parameter Sensitivity Analysis

Agronomy
Process-based crop growth models, as an important analytical tool in agricultural production, face the problem of calibrating many parameters during the application process, and sensitivity analysis (SA) can quantify the effects of the model input ...
Yanyan Li, Yao Yao, Mengyin Du, Lixia Dong, Jianyu Yuan, Guang Li   +5 more
doaj   +1 more source