Results 51 to 60 of about 327,869 (262)

Comparison of Parametric and Semi-Parametric Binary Response Models [PDF]

SSRN Electronic Journal, 2013
A Bayesian semi-parametric estimation of the binary response model using Markov Chain Monte Carlo algorithms is proposed. The performances of the parametric and semi-parametric models are presented. The mean squared errors, receiver operating characteristic curve, and the marginal effect are used as the model selection criteria.
Xiangjin Shen, Shiliang Li, Hiroki Tsurumi   +2 more
openaire   +2 more sources

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

FEBS 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, Masatomo So, Ayako Furukawa, Kenji Sugase   +3 more
wiley   +1 more source

Interval censoring Analysis of Factors affecting the time of development of pulmonary restrictive disorder in yazd tile workers

طب کار, 2018
Introduction: Respiratory diseases are one of the most common occupational diseases in Iran. This study aimed to investigate the factors affecting the time of development of pulmonary restrictive patterns in the workerschr('39') spirometry in Yazd tile ...
Mohsen Askarishahi, Maryam shayegh, Mehrdad Mostaghasi, MohammadJavad Zare Sakhvidi   +3 more
doaj  

Semiparametric Short-Term Probabilistic Forecasting Models for Hourly Power Generation in PV Plants

IEEE Access
This article introduces BetaMemo models, a set of advanced probabilistic forecasting models aimed at predicting the hourly power output of photovoltaic plants.
Luis Alfredo Fernandez-Jimenez, Ignacio J. Ramirez-Rosado, Claudio Monteiro   +2 more
doaj   +1 more source

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

FEBS 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, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

Comparative analysis of parametric Lorenz curves and alternative convex models with isotonic regression for estimating the Lorenz curve [PDF]

Journal of Mahani Mathematical Research
This study develops a systematic comparative framework for estimating Lorenz curves and Gini coefficients, addressing key methodological gaps in measuring income inequality.
Zahra Behdani
doaj   +1 more source

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

FEBS 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, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Modeling Tropical Cyclone Boundary Layer Wind Fields over Ocean and Land: A Comparative Assessment

Atmosphere
Accurate simulation of boundary layer wind field structures is essential for evaluating tropical cyclone (TC) wind hazards and supporting engineering design in coastal regions.
Jian Yang, Jiu-Wei Zhao, Ya-Nan Tang, Zhong-Dong Duan   +3 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Parametric model-based clustering [PDF]

SPIE Proceedings, 2005
Parametric, model-based algorithms learn generative models from the data, with each model corresponding to one particular cluster. Accordingly, the model-based partitional algorithm will select the most suitable model for any data object (Clustering step}, and will recompute parametric models using data specifically from the corresponding clusters ...
Nikulin, Vladimir, Smola, Alexander
openaire   +4 more sources