Results 131 to 140 of about 23,658 (304)
Advanced NanoBiomed Research, EarlyView.Biomimetic electrospun scaffold incorporating GDF‐7‐loaded mesoporous silica nanoparticles, combined with mechanical stimulation and physiological oxygen tension, guides tenogenic differentiation of mesenchymal stromal cell and tendon progenitor stem cell. This integrated approach enhances cell proliferation, matrix deposition, and tendon‐specific gene
Vera Citro +3 more
wiley +1 more source
Nonparametric option pricing with no-arbitrage constraints [PDF]
We propose a completely kernel based method of estimating the call price function or the state price density of options. The new estimator of the call price function fulfills the constraints like monotonicity and convexity given in Breeden and ...
Birke, Melanie, Pilz, Kay F.
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On the Bayesian analysis of species sampling mixture models for density estimation [PDF]
, 2006 The mixture of normals model has been extensively applied to density estimation problems. This paper proposes an alternative parameterisation that naturally leads to new forms of prior distribution.
Griffin, Jim E.
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Advanced NanoBiomed Research, EarlyView.We developed an assay to distinguish cellular binding from internalization. Compatible with microscopy and high‐throughput screening, the method identifies ligand‐mediated uptake. Applying top candidates to a protein‐based DNA carrier enhanced transfection efficiency, providing a rational strategy to improve non‐viral gene delivery systems.
David Scherer +5 more
wiley +1 more source
Geometric Sensitivity Measures for Bayesian Nonparametric Density Estimation Models. [PDF]
Sankhya Ser A, 2019 Saha A, Kurtek S.
europepmc +1 more source
A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation. [PDF]
Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of ...
Robert D. Brooks +2 more
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Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT This study investigated sludge characteristics and greenhouse gas (GHG) emission from 16 anaerobic‐anoxic‐oxic (AAO) process wastewater treatment plants (WWTPs), 11 municipal and 5 industrial WWTPs, located in the Taihu Lake Basin, China. Influent/effluent water quality, sludge properties, operational parameters, GHG emission patterns, and ...
He Li, Zhirun Liu, Rajendra Prasad Singh
wiley +1 more source
Estimation of continuous-time interest rate models: a nonparametric approach [PDF]
This paper presents a general, nonlinear model for term structure interest rate. The approach is the same of Stanton (1997) but it has been extended to a multifactor model. The novel aspect is that rather than choosing the functional specification of the
Orazio Di Miscia
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Least squares fitting the three-parameter inverse Weibull density [PDF]
, 2010 The inverse Weibull model was developed by Erto [10]. In practice, the unknown parameters of the appropriate inverse Weibull density are not known and must be estimated from a random sample.
Marušić, Miljenko +5 more
core +1 more source
Comparative Meta‐Analysis of Antimicrobial Peptides in Aquatic and Terrestrial Livestock Species
Animal Research and One Health, EarlyView.A global meta‐analysis of 58 studies (926 effect sizes and 29 species across five taxa) revealed that dietary antimicrobial peptides generally improve growth performance, blood metabolites, and immune responses. The greatest benefits were observed in omnivorous livestock, such as pigs and chickens. Dose‐duration effects were evident. An optimal outcome
Lily Liu +4 more
wiley +1 more source