Results 81 to 90 of about 9,519 (266)
This article examines the estimate of ϑ = P [T < Q], using both Bayesian and non-Bayesian methods, utilizing progressively first-failure censored data. Assume that the stress (T) and strength (Q) are independent random variables that follow the Burr III ...
Salem A Alyami +5 more
doaj +1 more source
Large Deviations and Berry–Esseen Inequalities for Estimators in Nonlinear Nonhomogeneous Diffusions
Bounds on the large deviations probability of the maximum likelihood estimator and regular Bayes estimators, and Berry–Esseen type bound for the suitably normalized maximum likelihood estimator of a parameter appearing nonlinearly in the nonhomogeneous ...
Jaya P.N. Bishwal
doaj +1 more source
In Situ Regenerative Adduct Assisted p‐Type Doping of Organic Semiconductor
An in situ regenerative adduct‐assisted (IRAA) doping strategy is introduced for p‐type doping of organic semiconductors. A regenerating adduct serves as the dopant, enabling highly efficient doping with a choice of counterions. The generality of this approach provides a scalable route to dope a wide range of hole‐transport materials with high thermal ...
Brijesh K. Patel +8 more
wiley +1 more source
Some results on Bayes estimation under Linex loss function [PDF]
In this paper, we introduced straightforward formulas for the Bayes risk linked to the Linex loss function, which we then applied to estimate parameters of the normal, Poisson, and fractional Weibull distributions.We aimed to investigate the development ...
Masoud Ganji, Fatemeh Gharari
doaj +1 more source
Indium‐Mediated Glue‐Like Interlayer Enables Stable High‐Capacity Flexible Sodium Metal Batteries
A three‐dimensional Na‐In‐S/Cu composite interlayer is constructed on a flexible current collector via an In‐mediated in situ reaction. Featuring abundant Na nucleation sites and a low diffusion barrier, this interlayer enables rapid and uniform Na deposition.
Xinyan Li +13 more
wiley +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Microfluidic engineering enables the fabrication of chitosan‐coated, melatonin‐loaded nanoemulsions with controlled release and enhanced physicochemical stability for space pharmaceutics. Interfacial biopolymer coating modulates droplet behavior under accelerated thermal stress and simulated microgravity.
Modupe Adebowale +3 more
wiley +1 more source
Studi ini menggunakan simulasi Monte Carlo dilakukan untuk melihat pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling.
Muhammad Dwirifqi Kharisma Putra +3 more
doaj +1 more source
Muscle Control of an Extra Robotic Digit
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source

