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相关概念视频

Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

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The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
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Wind Turbine Machine Models01:24

Wind Turbine Machine Models

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In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
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Machines01:19

Machines

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
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Machines: Problem Solving II01:30

Machines: Problem Solving II

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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Machines: Problem Solving I01:22

Machines: Problem Solving I

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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
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相关实验视频

Updated: Feb 14, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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一个基于外围血液淋巴细胞子集的机器学习驱动的预后模型,用于骨髓瘤的骨髓瘤.

Longqing Li1, Jinlei Liu1, Songtao Pang1

  • 1Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Frontiers in immunology
|February 13, 2026
PubMed
概括

使用淋巴细胞子集的机器学习模型可以预测骨髓瘤 (OS) 的预后. 与传统标记物相比,一个包含NK细胞和激活细胞毒性T细胞的渐变增强机模型提供了优越的风险分层.

关键词:
机器学习是机器学习.骨质肉瘤是骨质肉瘤的一种疾病.周围血液的淋巴细胞子集预测模型的预测模型.风险分层的分层是风险分层.

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科学领域:

  • 在瘤学瘤学.
  • 免疫学 免疫学 免疫学
  • 计算生物学 计算生物学

背景情况:

  • 骨肉瘤 (OS) 的预后是高度可变的.
  • 通过机器学习 (ML) 分析的外周血液淋巴细胞子集的预后作用需要进一步探索.
  • 目前的OS风险分层可能不足.

研究的目的:

  • 开发和验证基于机器学习的骨髓瘤预后模型.
  • 利用周围血液淋巴细胞子集来改善患者风险分层.
  • 为了比较ML模型与传统预后标志物的疗效.

主要方法:

  • 对65名高度骨髓瘤患者的回顾性分析.
  • 使用流细胞计量对外围血液淋巴细胞子集的量化.
  • 使用七种算法构建和验证预后模型,包括梯度增强机 (GBM).

主要成果:

  • GBM算法创建了一个最佳的两变量模型 (CD3-CD56+NK细胞和CD8+HLA-DR+激活细胞毒性T细胞),具有高预测精度 (AUC = 0.959).
  • 来自GBM的风险评分独立预测了预后,并将患者分为不同的生存组.
  • 该模型在预测3年后的生存周期时,超过了NLR和PLR等传统的炎症指数.

结论:

  • 开发并验证了使用淋巴细胞子集的强大的ML驱动的预后模型.
  • 这种新型模型表明,与传统标记器相比,在OS中进行个性化风险评估的预后价值更高.
  • 该模型可能会为骨髓瘤患者提供量身定制的治疗策略.