Results 141 to 150 of about 832,071 (345)

Fabrication of Fibers With Complex Features Using Thermal Drawing of 3D‐Printed Preforms

open access: yesAdvanced Materials Technologies, EarlyView.
3D printing enables rapid fabrication of macroscale polymer preforms with complex geometries. Thermal drawing then scales these structures into long fibers while preserving micron‐scale cross‐sectional features. This workflow provides a fast, low‐cost route to functional fibers with tailored geometries and material combinations for catheter, robotic ...
Ali Anil Demircali   +4 more
wiley   +1 more source

Muscle Control of an Extra Robotic Digit

open access: yesAdvanced Robotics Research, EarlyView.
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

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

open access: yesAdvanced Robotics Research, EarlyView.
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

Approximated Bayes and empirical Bayes confidence intervals—The known variance case [PDF]

open access: yes
Hierarchical Bayes, empirical Bayes estimation, Stein estimator, multivariate normal mean, Pearson curves, confidence intervals, posterior distribution, unequal variance case, normal approximations,
P. Groenewald, C. Merwe, A. Merwe
core   +1 more source

Empirical Bayes Estimation in Multiple Linear Regression with Multivariate Skew-Normal Distribution as Prior

open access: yesJournal of Mathematical Extension, 2011
We develop a new empirical Bayes analysis in multiple regression models. In the present work we consider multivariate skewnormal as prior for coefficients of the model in a skew-normal population and give empirical Bayes estimation for parameters of ...
M. Khounsiavash   +2 more
doaj  

A Pentaradial and Bilateral Combined Photoreception System in the Sea Cucumber is Mediated by a Blue Light‐Sensitive R‐Opsin

open access: yesAdvanced Science, EarlyView.
The sea cucumber Holothuria leucospilota detects blue and adjacent wavelengths of light via an r‐opsin with a maximum absorption at 459 nm. In the oral tentacles, papillae, and tube feet, distinct light‐sensing structures with specialized morphologies are formed, constituting a unique pentaradial and bilateral combined photoreception system.
Jiasheng Huang   +20 more
wiley   +1 more source

PRMT1‐Mediated LDHA Methylation Drives STAT3 Lactylation to Orchestrate Intestinal Inflammation and Tumorigenesis

open access: yesAdvanced Science, EarlyView.
This study identifies an immunometabolic axis wherein SAM‐driven PRMT1 methylates LDHA, enhancing its activity. The resultant lactate induces STAT3 K709 lactylation, which stabilizes an active conformation to promote STAT3 phosphorylation and IL‐10 expression.
Hui Wang   +12 more
wiley   +1 more source

Large deviations inequalities for the maximum likelihood estimator and the Bayes estimators in nonlinear stochastic differential equations [PDF]

open access: yes
Exponential bounds on the large deviation probability of the maximum likelihood estimator and the Bayes estimators of the parameter appearing nonlinearly in the drift coefficient of homogeneous Itô's stochastic differential equations are obtained under ...
Bishwal, J. P. N.
core  

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

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