Results 41 to 50 of about 3,223,623 (259)

Enhanced Antibacterial Properties of Lyotropic Liquid Crystalline Nanoparticles via Curvature Modulation

open access: yesAdvanced Science, EarlyView.
Lipid nanostructured particles with increasing negative Gaussian curvature progress from vesicles to P‐cubosomes and D‐cubosomes. This curvature hierarchy enhances interaction with bacterial membranes, promotes membrane remodeling and leakage, and potentiates daptomycin activity against MRSA.
Xiangfeng Lai   +10 more
wiley   +1 more source

Bayesian Analysis of Inverse Gaussian Stochastic Conditional Duration Model

open access: yesJournal of Statistical Theory and Applications (JSTA), 2019
This paper discusses Bayesian analysis of stochastic conditional duration model when the innovations follow inverse Gaussian distribution. Estimation is carried out by the methods of Markov Chain Monte Carlo.
C.G. Sri Ranganath, N. Balakrishna
doaj   +1 more source

Probing the Energy Landscape of α‐Synuclein Amyloid Fibril Formation by Systematic K‐to‐Q Mutagenesis

open access: yesAdvanced Science, EarlyView.
We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka   +10 more
wiley   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

open access: yesAdvanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho   +5 more
wiley   +1 more source

Maximum Product Spacings Estimator for Fuzzy Data Using Inverse Lindley Distribution

open access: yesAustrian Journal of Statistics, 2023
The article addresses the problem of parameter estimation of the inverse Lindley distribution when the observations are fuzzy. The estimation of the unknown model parameter was performed using both classical and Bayesian methods.
Ankita Chaturvedi   +2 more
doaj   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Vertical Price Transmission in Food Markets: New Evidence From Meta‐Analysis

open access: yesAgribusiness, EarlyView.
ABSTRACT A growing body of empirical research has examined price dynamics along the food supply chain, yet findings remain heterogeneous and often conflicting. This study conducts a meta‐analysis of 140 studies, totaling 652 observations, to examine (1) the reported presence of asymmetric price transmission and (2) the reported direction of price ...
Sushan K C   +2 more
wiley   +1 more source

Classical and Bayesian Estimation of Stress–Strength Reliability in the X-Lindley Distribution Under Progressive Censoring

open access: yesIEEE Access
This study investigates the estimation of the stress-strength reliability measure, $\varsigma = P(X \lt Y)$ , assuming that both stress ( $X$ ) and strength ( $Y$ ) follow the new X-Lindley distribution.
Fatma Ciftci   +4 more
doaj   +1 more source

Value of Information of Improved Traceability in Fresh Produce Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris   +2 more
wiley   +1 more source

A point on discrete versus continuous state-space Markov chains

open access: yesDependence Modeling
This article investigates the effects of discrete marginal distributions on copula-based Markov chains. We establish results on mixing properties and parameter estimation for a copula-based Markov chain model with Bernoulli(pp) marginal distributions ...
Muia Mathias, Longla Martial
doaj   +1 more source

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