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相关概念视频

Types Of Transformers01:16

Types Of Transformers

941
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
941
The Ideal Transformer01:26

The Ideal Transformer

337
In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
337
Transformers01:26

Transformers

1.0K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
1.0K
Energy Losses in Transformers01:21

Energy Losses in Transformers

818
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
818
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

107
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
107
Transformers in Distribution System01:27

Transformers in Distribution System

98
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
98

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相关实验视频

Updated: May 21, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

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情绪预测:一种基于变压器的方法

Leire Paz-Arbaizar1, Jorge Lopez-Castroman2,3,4, Antonio Artés-Rodríguez1,3,5,6

  • 1Signal Theory and Communications Department, Universidad Carlos III de Madrid, Leganés, Spain.

Journal of medical Internet research
|March 18, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种用于实时心理健康监测的新型深度学习方法,使用移动设备数据预测精神病患者的情绪状态和潜在危机.

关键词:
在 PHQ-9 中.患者健康调查问卷-9影响影响影响影响影响影响.情绪的价值 情绪的价值机器学习是机器学习.精神障碍 精神障碍是一种精神障碍.监控 监控 监控 监控 监控 监控情绪 情绪 情绪 情绪被动数据是被动数据.心理上的痛苦 心理上的痛苦时间序列预测时间序列预测

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Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
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Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
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相关实验视频

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Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

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Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
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Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
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科学领域:

  • 数字精神病学数字精神病学
  • 计算心理健康 计算心理健康
  • 机器学习在医疗保健中的应用

背景情况:

  • 由于主观评估和环境影响,精神病患者监测具有挑战性.
  • 实时监测对于管理精神疾病中精神状态的变化至关重要.

研究的目的:

  • 通过深度学习和移动设备数据开发客观的实时患者监测.
  • 预测患者的自我报告并检测突然的情绪价值变化,以便及时进行临床干预.

主要方法:

  • 利用基于证据的行为 (eB2) 应用程序进行被动和自我报告的数据收集.
  • 应用隐藏的马尔科夫模型 (HMM) 缺失的数据和变压器深度神经网络的时间序列预测.
  • 采用分类算法来预测情绪状态和患者健康问卷-9 (PHQ-9) 的答案.

主要成果:

  • 获得了高精度 (0.93) 和ROC AUC (0.98) 的情感价值分类.
  • 成功预测的情绪状态变化提前一天发生 (ROC AUC 0.87).
  • 对于PHQ-9反应,包括自杀念头 (Q9:准确率0.9,ROC AUC 0.77) 的强有力的预测性表现.

结论:

  • 将HMM预处理与变压器模型相结合,用于稳定的多变量时间序列预测,性能优于传统方法.
  • 展示了被动变量在预测患者情绪状态和问卷分数方面的潜力.
  • 实现实时监控,以改善精神病治疗中的风险检测和治疗调整.