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Simplified Synchronous Machine Model01:30

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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.
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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.
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The thoracic section of the aorta begins at the T5 vertebra and extends to the T12 level at the diaphragm, initially progressing through the mediastinum to the left of the spinal column. Throughout its course in the thoracic segment, the thoracic aorta emits various offshoots known collectively as visceral and parietal branches. The branches that predominantly supply blood to visceral organs are termed visceral branches and include bronchial, pericardial, esophageal, and mediastinal arteries,...
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机器学习模型用于移植后淋巴增殖性疾病 (PTLD) 在胸部移植中的风险预测.

Henry Johnston1, Nandini Nair2, Balakrishnan Mahesh3

  • 1From the Department of Industrial, Manufacturing and Systems Engineering, Texas Tech University, Lubbock, Texas.

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概括
此摘要是机器生成的。

移植后淋巴增殖性疾病 (PTLD) 是胸部移植后的一种常见恶性瘤. 这项研究开发了风险评分,以预测PTLD,确定关键因素,如年龄和爱斯坦-巴尔病毒状态,以更好地管理患者.

关键词:
这是一个 PTLD.心脏移植心脏移植手术肺部移植 肺部移植机器学习是机器学习.风险评估 风险评估 风险评估

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科学领域:

  • 移植瘤学 移植瘤学
  • 免疫学 免疫学 免疫学
  • 生物统计学 生物统计学

背景情况:

  • 移植后淋巴增殖性疾病 (PTLD) 是胸部移植接受者的重大恶性瘤,影响生存率.
  • 准确的风险预测模型对于PTLD预防和有效的管理策略至关重要.

研究的目的:

  • 开发和验证成人胸部移植受体中PTLD风险预测得分.
  • 在移植后的头五年内确定与PTLD风险相关的移植前变量.

主要方法:

  • 使用SRTR和UNOS数据分析了89,139名成年心脏,肺和心肺移植接受者的160个移植前变量.
  • 使用FasterRisk算法开发风险得分,与统计和机器学习模型进行比较.
  • 交叉验证以评估1,3年和5年PTLD风险预测的模型性能.

主要成果:

  • 开发的模型实现了0.776 (1年),0.711 (3年) 和0.689 (5年) 的交叉验证AUC.
  • 增加PTLD风险与类固醇诱导,先前的恶性瘤和接受者年龄较小 (18-27岁) 相关.
  • 降低PTLD风险与阳性爱斯坦-巴尔病毒 (EBV) 状态,心脏移植,非裔美国人种族和巴西力西马布诱导有关.

结论:

  • 拟议的风险评分提供了对胸部移植后PTLD风险因素的更好理解.
  • 在前五年内,个性化PTLD风险预测是可行的,有助于临床决策.
  • 识别高风险患者允许有针对性的监测和潜在的干预措施,以改善结果.