Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

2.8K
2.8K
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.4K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.4K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Dendrobine alleviates lung injury in septic mice by inhibiting mitochondrial-endoplasmic reticulum crosstalk-mediated NLRP3 inflammasome activation.

Journal of pharmacological sciences·2026
Same author

Adaptive kNN graph model.

Nature communications·2026
Same author

Comparative Prognostic Assessment of EKFC Equations for Mortality Prediction: A Population-based Cohort Study.

Cardiorenal medicine·2026
Same author

Local delivery of GPC3-CAR T cells in a thermosensitive hydrogel enhances antitumor efficacy in hepatocellular carcinoma.

International immunopharmacology·2026
Same author

HetDualCL: Dual-encoder contrastive learning for heterogeneous graphs.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

A New Human-Likeness and Comfort Index for Robot Movements Along Prescribed Paths.

IEEE transactions on cybernetics·2026
Same journal

Robust Semiglobal and Global Stabilization for Nonlinear Normal Form Systems by Time-Varying Feedback.

IEEE transactions on cybernetics·2026
Same journal

Adaptive Global Asymptotic Output Stabilization of Uncertain Nonlinear Systems Under Dynamic State/Input Quantization.

IEEE transactions on cybernetics·2026
Same journal

Accelerated Distributed Gradient Tracking for Constrained Aggregative Optimization Over Time-Varying Digraphs.

IEEE transactions on cybernetics·2026
Same journal

Small-Gain-Based Plug-and-Play Distributed Control Framework for DC Microgrids With Decentralized Reconfiguration.

IEEE transactions on cybernetics·2026
Same journal

Prescribed-Time Impulsive Control of High-Order Integrator Systems.

IEEE transactions on cybernetics·2026
查看所有相关文章

相关实验视频

Updated: Jun 25, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

538

预训练的量子灵感深度神经网络用于自然语言处理.

Jinjing Shi, Tian Chen, Wei Lai

    IEEE transactions on cybernetics
    |May 29, 2024
    PubMed
    概括
    此摘要是机器生成的。

    一个新的量子灵感深度神经网络,QPFE-ERNIE,通过嵌入更多的文本特征来解决自然语言处理 (NLP) 的挑战. 这个模型显示了在情感分类和词语意义清晰化任务中的更好的性能.

    更多相关视频

    DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
    04:17

    DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

    Published on: May 10, 2024

    736
    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    544

    相关实验视频

    Last Updated: Jun 25, 2025

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
    05:30

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

    Published on: September 8, 2023

    538
    DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
    04:17

    DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

    Published on: May 10, 2024

    736
    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    544

    科学领域:

    • 人工智能的人工智能
    • 量子计算是一种量子计算.
    • 自然语言处理自然语言处理.

    背景情况:

    • 自然语言处理 (NLP) 模型经常存在"黑子"问题,无法捕捉所有语言特征.
    • 量子启发的模型提供了一个潜在的解决方案,但往往忽视了必要的先前知识和预训练的文本特征.
    • 开发可解释和高性能NLP模型仍然是一个重大挑战.

    研究的目的:

    • 提出一种新的预训练量子灵感深度神经网络,用于增强NLP.
    • 通过结合预训练的特征来解决现有的量子灵感模型的局限性.
    • 为了提高NLP任务的性能和可解释性.

    主要方法:

    • 开发了一种量子启发的预训练特征嵌入 (QPFE) 方法来建模单词叠加状态.
    • 通过将 QPFE 与 ERNIE 模型中的语义特征集成,设计了 QPFE-ERNIE 模型.
    • 评估了对情感分类和词意义清晰化 (WSD) 任务的模型,提供量子电路图.

    主要成果:

    • 在五个数据集的情绪分类中,QPFE-ERNIE显著超过GRU,BiLSTM和TextCNN.
    • 与CR和SST数据集上的ERNIE相比,该模型实现了更高的准确性,F1分数和精度.
    • 对于WSD,QPFE-ERNIE显示了比BERT,ERNIE和以前的量子启发模型 (QWSD) 的显著改进.

    结论:

    • 拟议的QPFE-ERNIE模型为NLP问题提供了强大而可解释的解决方案.
    • 这项工作为量子启发的NLP模型的未来进步奠定了基础.
    • 量子理论与深度学习的整合显示了NLP任务的重大前景.