Results 111 to 120 of about 1,015,464 (310)

Local and global sensitivity analysis for a prediction model of nitrogen loss in Southern China’s paddy fields via HYDRUS-1D

Scientific Reports
Nitrogen loss in paddy fields has been widely recognized as a significant contributor to nonpoint source pollution. Predicting this process through modeling is crucial, yet model parameters always carry uncertainty.
Shuhuai Wang, Juxiu Tong, Chen Huang
doaj   +1 more source

Sensitivity analysis of parameters.

, 2014
(a) Sensitivity analysis of “number of seed query terms” (b) Sensitivity analysis of “trade-off β for updating tweet node weights” (c) Sensitivity analysis of “trade-off between local modularity and spatial scan statistics”.
Jing Dai (470985), Naren Ramakrishnan (271267), Feng Chen (25347), Liang Zhao (94728), Ting Hua (650625), Chang-Tien Lu (650626)   +5 more
core   +1 more source

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

Molecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht, Sameer Gupta, Amrita Chaurasia, Manisha Sachan   +3 more
wiley   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

Local Sensitivity and Diagnostic Tests

In this paper we confront sensitivity analysis with diagnostic testing.Every model is misspecified, but a model is useful if the parameters of interest (the focus) are not sensitive to small perturbations in the underlying assumptions. The study of the e
Magnus, J.R., Vasnev, A.L.
core  

Assessing the robustness of sensitivity analysis results. Application to traffic simulation models

, 2013
In recent time, in the field of traffic simulation, sensitivity analysis (SA) is starting to attract attention as an indispensible tool for simplifying the calibration of microscopic traffic flow models (1,2,3).
PUNZO, VINCENZO, CIUFFO, Biagio, S. Tarantola, MONTANINO, MARCELLO   +3 more
core  

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Local sensitivity analysis of cardiovascular system parameters [PDF]

, 2013
Bernhard, Stefan, Gul, Rahim, R. Gul, S. Bernhard   +3 more
core   +1 more source

Which Communities should be afraid of Mobility? The Effects of Agglomeration Economies on the Sensitivity of Firm Location to Local Taxes [PDF]

This paper examines the effects of agglomeration economies (AE) on the sensitivity of firm location to tax differentials. An initial reading of the story suggests that, with AE, when a firm moves into a community attracted by a tax reduction, other firms
Jordi Jofre-Monseny, Albert Solé-Ollé
core  

Local sensitivity approximations for selectivity bias

, 2001
Observational data analysis is often based on tacit assumptions of ignorability or randomness. The paper develops a general approach to local sensitivity analysis for selectivity bias, which aims to study the sensitivity of inference to small departures ...
Shinto Eguchi, John Copas
core   +1 more source