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

Depressive Disorders: MDD and Dysthymia01:27

Depressive Disorders: MDD and Dysthymia

225
Depressive disorders are a group of mental health conditions characterized by pervasive feelings of sadness, diminished pleasure in life, and a significant impact on daily functioning. These conditions are most prevalent in individuals during their 30s and affect women at twice the rate of men. Contrary to popular belief, younger individuals are generally more susceptible to these disorders than older adults. Two key types of depressive disorders include Major Depressive Disorder (MDD) and...
225
Long-term Depression01:05

Long-term Depression

31.5K
Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
31.5K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

152
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
152
Depression: Overview01:18

Depression: Overview

369
Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
369
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

173
Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
173
Aggregates Classification01:29

Aggregates Classification

391
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
391

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

Normoalbuminaemia is associated with IgA nephropathy in primary glomerulopathy with nephrotic-range proteinuria in Chinese patients.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association·2010
Same author

[Effect of Shenqi compound on PTEN/PI3K signal transduction in GK rats with diabetes mellitus macroangiopathy].

Zhongguo Zhong xi yi jie he za zhi Zhongguo Zhongxiyi jiehe zazhi = Chinese journal of integrated traditional and Western medicine·2010
Same author

Enhanced growth inhibition by combined DNA methylation/HDAC inhibitors in lung tumor cells with silenced CDKN2A.

International journal of oncology·2010
Same author

Induction of protection against divergent H5N1 influenza viruses using a recombinant fusion protein linking influenza M2e to Onchocerca volvulus activation associated protein-1 (ASP-1) adjuvant.

Vaccine·2010
Same author

A red-shifted chlorophyll.

Science (New York, N.Y.)·2010
Same author

Effect of the artificial somato-autonomic neuroanastomosis on defecation after spinal cord injury and its underlying mechanisms.

Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban·2010

相关实验视频

Updated: Sep 18, 2025

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.5K

通过相互信息最大化识别多模式抑郁症,与多任务学习相结合.

Yanjie Liu, Yulan Liu, Xinran Ma

    IEEE transactions on bio-medical engineering
    |June 24, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一个新的框架,用于识别使用视频,音频和文本等多式联络数据的抑郁症. 拟议的方法增强了特征表示和融合,显著提高了抑郁症检测的准确性.

    更多相关视频

    Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
    09:44

    Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

    Published on: March 8, 2024

    5.1K
    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.1K

    相关实验视频

    Last Updated: Sep 18, 2025

    Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
    05:19

    Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

    Published on: July 7, 2023

    2.5K
    Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
    09:44

    Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

    Published on: March 8, 2024

    5.1K
    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.1K

    科学领域:

    • 精神病学是一个精神病学.
    • 计算机科学 计算机科学
    • 人工智能的人工智能

    背景情况:

    • 抑郁症是一种严重的心理健康障碍,影响个人和社会.
    • 多模式数据 (视觉,音频,文本) 对于准确的抑郁症诊断至关重要.
    • 现有的方法往往忽略了功能增强和在模式内和跨模式的融合.

    研究的目的:

    • 建立一个中国多式模式抑郁体 (CMD-Corpus) 进行研究.
    • 提出一个新的多式联络抑郁症识别框架 (MIMML).
    • 增强特征表示和融合,以改善抑郁症检测.

    主要方法:

    • 在临床专家的协助下,开发了中国多模式抑郁体 (CMD-Corpus).
    • 提出了多任务学习 (MIMML) 框架的相互信息最大化框架.
    • 通过相互信息最大化实现模式不变性增强.
    • 利用多任务学习来改善单模态表示.
    • 采用了一个带有双向GRU和CNN的封闭结构,用于多式联络功能融合.

    主要成果:

    • MIMML框架有效地增强了特征表示和融合.
    • 在DAIC-WOZ数据集上实现了84%的准确性.
    • 在自主收集的CMD-Corpus数据集上实现了89%的准确性.
    • 在抑郁症识别准确度方面显著改善.

    结论:

    • 拟议的MIMML框架在多式联络抑郁症识别方面表现出高效.
    • CMD-Corpus为未来的抑郁症研究提供了宝贵的资源.
    • 增强的特征表示和融合是改善心理健康障碍诊断准确性的关键.