Results 91 to 100 of about 16,220,352 (310)

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

open access: yesFEBS Letters, EarlyView.
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto   +3 more
wiley   +1 more source

Semi-parametric models for response times and response accuracy in computerized testing [PDF]

open access: yes, 2012
In computer-administered tests, response times can be recorded conjointly with the corresponding responses. This broadens the scope of potential modeling approaches because response times can be analyzed in addition to analyzing the responses themselves.
Wang, Chun
core  

A SPLINE MODEL FOR ELECTRICITY DEMAND FORESCASTING UN MODELO SPLINE PARA EL PRONÓSTICO DE LA DEMANDA DE ENERGÍA ELÉCTRICA

open access: yesRevista Colombiana de Estadística, 2007
Our goal is to model, with forecasting aims, the daily electricity demand in a southeast colombian region through a non-parametric regression model implementation. We consider some “calendar variables” such as time of the day, day of the week, month, and
Barrientos Andrés Felipe   +2 more
doaj  

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

open access: yesFEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace   +6 more
wiley   +1 more source

Understanding climate change dynamics in the Godavari middle sub-basin using parametric and non-parametric models

open access: yesGeosystems and Geoenvironment
Climate change is considered a long-term change in precipitation, temperature and other meteorological variables. The pattern of meteorological variables is changing due to anthropogenic activities globally. Climate change has posed threat to natural and
Md Masroor, Haroon Sajjad
doaj   +1 more source

Correlated Non-Parametric Latent Feature Models

open access: yesCoRR, 2012
Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009)
Finale Doshi-Velez, Zoubin Ghahramani
openaire   +3 more sources

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Non-parametric estimation of forecast distributions in non-linear, non-gaussian state space models

open access: yes, 2017
Non-Gaussian time series variables are prevalent in the economic and finance spheres, with state space models often employed to analyze such variables and, ultimately, to produce forecasts.
Ng, Jason Wei Jian (3718801)
core   +1 more source

New Agricultural Tractor Manufacturer’s Suggested Retail Price (MSRP) Model in Europe

open access: yesAgriculture
Research investigating models for assessing new tractor pricing is notably scarce, despite its fundamental importance in conducting comprehensive cost analyses.
Ivan Herranz-Matey, Luis Ruiz-Garcia
doaj   +1 more source

A non-parametric hidden Markov model for climate state identification [PDF]

open access: yesHydrology and Earth System Sciences, 2003
Hidden Markov models (HMMs) can allow for the varying wet and dry cycles in the climate without the need to simulate supplementary climate variables. The fitting of a parametric HMM relies upon assumptions for the state conditional distributions.
M. F. Lambert   +3 more
doaj  

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