Results 111 to 120 of about 55,839,926 (326)
Appendix C Sensitivity of Stochastic Models Hansen, T. M. and Singh, S, April 1997
, 2007 Contents C Sensitivity Analysis of Stochastic Models of the Crust 1 C.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 C.2 Fractal Nature of the Crust . . . . . . . . . . . . . . . . . . . . . . . . . . .
Sensitivity Of Stochastic
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Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Cluster sample inference using sensitivity analysis: the case with few groups [PDF]
This paper re-examines inference for cluster samples. Sensitivity analysis is proposed as a new method to perform inference when the number of groups is small.
Vikström, Johan
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Anxiety sensitivity and pain: Generalisability across noxious stimuli [PDF]
, 2008 Anxiety sensitivity, a fear of anxiety-related symptoms, has been associated with a heightened experience of pain, especially within women. The majority of experimental studies investigating this association have relied heavily on the cold pressor ...
French, Christopher C. +3 more
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Methods for global sensitivity analysis in life cycle assessment
The International Journal of Life Cycle Assessment, 2017 PurposeInput parameters required to quantify environmental impact in life cycle assessment (LCA) can be uncertain due to e.g. temporal variability or unknowns about the true value of emission factors.
E. Groen +3 more
semanticscholar +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
The New Nuclear Data Sensitivity Analysis and Uncertainty Propagation Tool in NESTLE
, 2005 In support of the need for better design and evaluation tools for reactor-based transmutation systems we have upgraded NESTLE, the 2/4 energy group thermal reactor physics code of the Nuclear Engineering Department at North Carolina State University with:
Wieselquist, William Adam
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Sensitivity Analysis of RFML Applications
IEEE AccessPerformance of radio frequency machine learning (RFML) models for classification tasks such as specific emitter identification (SEI) and automatic modulation classification (AMC) have improved greatly since their introduction, especially when measured ...
Braeden P. Muller +2 more
doaj +1 more source
A Sensitivity analysis in MCDM problems: A statistical approach
Decision Making: Applications in Management and Engineering, 2018 This study provides a model for result consistency evaluation of multi-criteria decision-making (MDM) methods and selection of the optimal one. The study presents the results of an analysis of the sensitivity of decision-making based on the rank methods:
Irik Z. Mukhametzyanov, D. Pamucar
semanticscholar +1 more source