Results 91 to 100 of about 118,488 (274)
Advanced Science, EarlyView.Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters +12 more
wiley +1 more source
Nuclear Engineering and TechnologyWelding processes are used to connect several components in nuclear power plants. These welding processes can induce residual stress in welding joints, which has been identified as a significant factor in primary water stress corrosion cracking ...
Ji Hun Park, Man Gyun Na
doaj +1 more source
Structured Dropout Variational Inference for Bayesian Neural Networks
, 2021 45 pages, 9 ...
Son Nguyen +5 more
openaire +3 more sources
Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning
Advanced Science, EarlyView.ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen +6 more
wiley +1 more source
AutomationThe fourth industrial revolution has transformed the industry, with information technology playing a crucial role in this shift. The increasing digitization of industrial systems demands efficient sensing and control methods, giving rise to soft sensors ...
Gabryel M. Raposo de Alencar +6 more
doaj +1 more source
Advanced Science, EarlyView.STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu +5 more
wiley +1 more source
AIBackground/Objectives: Convolutional Neural Networks (CNNs), while effective in tasks such as image classification and language processing, often experience overfitting and inefficient training due to static, structure-agnostic regularization techniques ...
Mehdi Ghayoumi
doaj +1 more source
Enhancing Electrical Impedance Based Deformation Sensing with Dielectric Current Guide
Advanced Electronic Materials, EarlyView.This work introduces a dielectric‐based field manipulation strategy for electrical impedance tomography in soft robotics. By using silicone as a passive electric field guide, improved deformation sensing accuracy and reduced interference are achieved without embedding conductive components.
Arsen Abdulali +3 more
wiley +1 more source
A model for predicting dropout of higher education students
Data Science and ManagementHigher education institutions are becoming increasingly concerned with the retention of their students. This work is motivated by the interest in predicting and reducing student dropout, and consequently in reducing the financial losses of said ...
Anaíle Mendes Rabelo +1 more
doaj +1 more source
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
, 2019 We propose a guided dropout regularizer for deep networks based on the evidence of a network prediction defined as the firing of neurons in specific paths.
Bargal, Sarah Adel +5 more
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