Results 51 to 60 of about 32,124 (206)

Capsules Based Chinese Word Segmentation for Ancient Chinese Medical Books

open access: yesIEEE Access, 2018
Neural network models are popularly used in Chinese word segmentation task. The capsule architecture is proposed recently which has solved some defects of convolutional neural network. In this paper, we first introduce the capsule architecture to Chinese
Si Li   +5 more
doaj   +1 more source

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

open access: yes, 2019
Industrial recommender systems usually consist of the matching stage and the ranking stage, in order to handle the billion-scale of users and items. The matching stage retrieves candidate items relevant to user interests, while the ranking stage sorts ...
Chen, Qiwei   +9 more
core   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

open access: yesMolecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak   +4 more
wiley   +1 more source

Multiscale Feature Aggregation Capsule Neural Network for Hyperspectral Remote Sensing Image Classification

open access: yesRemote Sensing, 2022
Models based on capsule neural network (CapsNet), a novel deep learning method, have recently made great achievements in hyperspectral remote sensing image (HSI) classification due to their excellent ability to implicitly model the spatial relationship ...
Runmin Lei   +6 more
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Metformin promotes mitochondrial integrity through AMPK‐signaling in Leber's hereditary optic neuropathy

open access: yesFEBS Open Bio, EarlyView.
Metformin mediates mitochondrial quality control in Leber's hereditary optic neuropathy (LHON) fibroblasts carrying mtDNA mutations. At therapeutic levels, metformin activates AMPK signaling to restore mitochondrial dynamics by promoting fusion and restraining fission, while preserving mitochondrial mass, enhancing autophagy/mitophagy and biogenesis ...
Chatnapa Panusatid   +3 more
wiley   +1 more source

DE-CapsNet: A Diverse Enhanced Capsule Network with Disperse Dynamic Routing

open access: yesApplied Sciences, 2020
Capsule Network (CapsNet) is a methodology with good prospects in visual tasks, since it can keep a stronger relationship of spatial information than Convolutional Neural Networks (CNNs). However, the current Capsule Network do not provide performance as
Bohan Jia, Qiyu Huang
doaj   +1 more source

Instrument reading recognition by deep learning of capsules network model for digitalization in Industrial Internet of Things

open access: yesEngineering Reports, 2022
Using the intelligent image recognition method to recognize the reading of the unintelligent manual reading meter is an important approach to expand the sensing means and reduce the cost of transformation of the Industrial Internet of Things. Traditional
Dazhou Li, Jingfei Hou, Wei Gao
doaj   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu   +10 more
wiley   +1 more source

Chinese Short Text Entity Disambiguation Based on the Dual-Channel Hybrid Network

open access: yesIEEE Access, 2020
Entity disambiguation refers to the accurate inference of the real mention of an entity with the same name according to the context. Most existing studies focused on long texts, for short texts, the performance has been unsatisfactory due to sparsity. In
Liting Jiang   +4 more
doaj   +1 more source

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