Results 21 to 30 of about 1,907,107 (269)

Innovative Methods to Enhance the Combustion Properties of Solid Fuels for Hybrid Rocket Propulsion

open access: yesAerospace, 2019
The low regression rates for hydroxyl-terminated polybutadiene (HTPB)-based solid fuels and poor mechanical properties for the alternative paraffin-based liquefying fuels make today hybrid rocket engines far from the outstanding accomplishments of solid ...
Suhang Chen   +6 more
doaj   +1 more source

Model instability in predictive exchange rate regressions [PDF]

open access: yesJournal of Forecasting, 2019
AbstractIn this paper we aim to improve existing empirical exchange rate models by accounting for uncertainty with respect to the underlying structural representation. Within a flexible Bayesian framework, our modeling approach assumes that different regimes are characterized by commonly used structural exchange rate models, with transitions across ...
Hauzenberger, Niko, Huber, Florian
openaire   +8 more sources

Condom use to enhance regression of cervical intraepithelial neoplasia: study protocol for a randomized controlled trial

open access: yesTrials, 2019
Background Condom use can reduce the risk of infection by human papillomavirus (HPV). Furthermore, it has been suggested that condom use can increase the regression rate of cervical lesions. In Denmark, women with cervical intraepithelial neoplasia grade
Malene Skorstengaard   +2 more
doaj   +1 more source

Direct regression models for longitudinal rates of change [PDF]

open access: yesStatistics in Medicine, 2014
Comparing rates of growth, or rates of change, across covariate‐defined subgroups is a primary objective for many longitudinal studies. In the special case of a linear trend over time, the interaction between a covariate and time will characterize differences in longitudinal rates of change.
Bryan, Matthew, Heagerty, Patrick J.
openaire   +2 more sources

Robust linear regression: optimal rates in polynomial time [PDF]

open access: yesProceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021
Updated exposition of sum-of-squares background and ...
Ainesh Bakshi, Adarsh Prasad
openaire   +3 more sources

An Investigation on the Effect of Chemical Kinetics Mechanisms in the Modeling of Combustive Gaseous Oxidizer Flow on a Solid Fuel Surface [PDF]

open access: yesفصلنامه علوم و فناوری فضایی, 2010
In this study, the combustion process of gaseous Oxygen on the surface of HTPB solid fuel has been investigated. To simulate the chemically reactive flow, Navier-Stokes equations and species transport equations were solved using LU-SW implicit scheme ...
M. Ahangar, R. Ebrahimi
doaj  

Fuel Grain Configuration Adaptation for High-Regression-Rate Hybrid Propulsion Applications

open access: yesAerospace
Low regression rate is the most critical issue for the development and application of hybrid rocket motors (HRMs). Paraffin-based fuels are potential candidates for HRMs due to their high regression rates but adding polymers to improve strength results ...
Lin-Lin Liu   +3 more
doaj   +1 more source

Goodness-of-Fit of Logistic Regression of the Default Rate on GDP Growth Rate and on CDX Indices

open access: yesMathematics, 2021
Under the Basel II and Basel III agreements, the probability of default (PD) is a key parameter used in calculating expected credit loss (ECL), which is typically defined as: PD × Loss Given Default × Exposure at Default.
Kuang-Hua Hu   +3 more
doaj   +1 more source

Small-Scale Static Fire Tests of 3D Printing Hybrid Rocket Fuel Grains Produced from Different Materials

open access: yesAerospace, 2019
The last decade has seen an almost exponential increase in the number of rocket launches for sounding missions or for delivering payloads into low Earth orbits.
Mitchell McFarland, Elsa Antunes
doaj   +1 more source

Crack Growth Rate Model Derived from Domain Knowledge-Guided Symbolic Regression

open access: yesChinese Journal of Mechanical Engineering, 2023
Machine learning (ML) has powerful nonlinear processing and multivariate learning capabilities, so it has been widely utilised in the fatigue field. However, most ML methods are inexplicable black-box models that are difficult to apply in engineering ...
Shuwei Zhou   +4 more
doaj   +1 more source

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