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相关概念视频

Reinforcement01:23

Reinforcement

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Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
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Beams01:30

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Beams are integral components of structural engineering and construction, designed to support loads applied at various points along their length. These long, straight members can be classified based on geometry, cross-section, support type, and equilibrium condition.
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Introduction to Inspiration: The Respiratory System in Action
The respiratory system, an essential network for breathing, comprises the conducting and respiratory zones, each playing a crucial role in the overall process of respiration. Let us explore the detailed mechanism of inspiration, or inhalation, which is the first phase of the respiratory cycle.
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The corrosion of steel reinforcement within concrete is a process influenced by the material's inherent properties and external factors. The high pH level of around 13, provided by calcium hydroxide present in concrete, initially protects the steel reinforcement by promoting the formation of a passive iron oxide layer on its surface.
However, over time and under certain conditions like carbonation, chloride ingress, and cracking this protective state can be compromised. Steel has areas with...
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Reinforcement Schedules01:24

Reinforcement Schedules

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Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
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Reinforcements in Concrete01:25

Reinforcements in Concrete

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Reinforced concrete is a composite material used extensively in construction, combining the compressive strength of concrete with the tensile strength of steel. This synergy is essential as concrete, while excellent at resisting compression, is weak under tension. Steel bars, or rebars, are embedded in the concrete to handle these tensile forces. The choice of steel is strategic; it shares a similar coefficient of thermal expansion with concrete, which ensures uniformity in response to...
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使用LLMs通过强化学习启发的代改进来优化放射治疗的光束角度.

Sara Cammarota1, Matteo Ferrante1, Alessandra Carosi2

  • 1Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.

Medical physics
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概括
此摘要是机器生成的。

本研究引入了一种使用大语言模型 (LLM) 来自动化光束角度优化 (BAO) 在放射治疗规划中的新框架. 该LLM驱动的方法显著提高了治疗计划的质量和效率,为临床决策提供了有前途的进展.

关键词:
自动化治疗计划自动化治疗计划多式联络模式的模型.辐射疗法 辐射疗法

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科学领域:

  • 医学物理 医学物理
  • 人工智能在医学中的应用
  • 辐射疗法优化的优化

背景情况:

  • 放射治疗治疗计划 (TP) 旨在优化向瘤输送辐射剂量,同时保护健康组织.
  • 波束角度优化 (BAO) 是TP中一个复杂的,高维的问题,传统上用耗时的手动或启发式方法来解决.
  • 由于解决方案空间的探索有限,传统的BAO方法往往会导致低于最佳的治疗计划.

研究的目的:

  • 引入一个新的框架,将通用大型语言模型 (LLM) 与强化学习 (RL) 启发的自动化BAO在放射治疗中的战略结合起来.
  • 利用LLM中固有的知识,在没有特定领域微调的情况下生成具有临床意义的治疗计划.
  • 在放射治疗规划中自动化和提高BAO的效率和质量.

主要方法:

  • 用一个现成的 GPT-4 大型语言模型 (LLM) 在一个仅用于 BAO 的推理设置中.
  • 采用了一种代策略,LLM建议廊角度,这些角度使用MatRad软件进行评估以生成剂量分布.
  • 整合了一个基于目标剂量合规性和风险器官 (OAR) 节省的标量奖励功能,通过探索和开发阶段反回来LLM进行代改进.

主要成果:

  • 基于LLM的配置显著优于肝脏和头癌病例的随机基线选择 (p < 0.05).
  • 大多数策略显示前列腺病例的统计学上显著改善,在特定的多视图配置中显著例外.
  • 代过程导致了持续的奖励增加和改进的剂量-体积直方图,证明了在20个改进步骤内增强的目标覆盖率和OAR节省.

结论:

  • 一般用途的LLM可以有效地自动化放射治疗治疗计划,特别是BAO,而不需要专门的培训.
  • 拟议的灵活和可扩展的框架显示了在放射治疗中增强临床决策工作流程的潜力.
  • 未来的工作可能涉及开发更复杂的奖励功能,并将该方法应用于放射治疗TP的其他方面.