Results 31 to 40 of about 62,284 (197)
Bayesian computation via empirical likelihood
Approximate Bayesian computation (ABC) has become an essential tool for the analysis of complex stochastic models when the likelihood function is numerically unavailable.
Beaumont +14 more
core +4 more sources
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source
Near-Optimal Target Learning With Stochastic Binary Signals [PDF]
We study learning in a noisy bisection model: specifically, Bayesian algorithms to learn a target value V given access only to noisy realizations of whether V is less than or greater than a threshold theta.
Chakraborty, Mithun +2 more
core +1 more source
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu +3 more
wiley +1 more source
Nanodiamond Quantum Sensors for Probing Free Radical Biology
Free radicals play key roles in cellular signaling and disease but remain difficult to measure in living systems. Nanodiamonds (NDs) with nitrogen‐vacancy (NV) centers enable quantum sensing of local magnetic noise via T₁ relaxometry, providing nondestructive radical detection in living cells.
Qi Lu, Yingke Wu, Tanja Weil
wiley +1 more source
Assembly of Cell‐Seeded 3D Printed Hydrogel Modules with Perfusable Channel Networks
Macroscale assembly was utilized to prepare perfusable tissue constructs from individually 3D printed hydrogel modules with embedded branched channel networks and port arrays for cell seeding. Novel multi‐material bioreactors were fabricated to facilitate the gluing of individual modules and the perfusion culture of assembled modular constructs seeded ...
Zachary J. Geffert +10 more
wiley +1 more source
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales +12 more
wiley +1 more source
Bias Reduction of Long Memory Parameter Estimators via the Pre-filtered Sieve Bootstrap [PDF]
This paper investigates the use of bootstrap-based bias correction of semi-parametric estimators of the long memory parameter in fractionally integrated processes.
Grose, Simone D. +2 more
core
Neural cell–derived small extracellular vesicles (sEVs) are emerging as pivotal mediators in neurodegenerative diseases, exerting both pathogenic and therapeutic functions. This review synthesizes current evidence on how sEVs from distinct neural cell types regulate neurodegeneration, neuroprotection, biomarker discovery, and targeted drug delivery ...
Muhammad Waqas Salim +4 more
wiley +1 more source

