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相关概念视频

Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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Methods of Documentation II: POMR01:26

Methods of Documentation II: POMR

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The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.
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Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

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Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
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Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

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Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
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Distributed Loads: Problem Solving01:21

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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相关实验视频

Updated: Jan 7, 2026

Data Communication Based on MQTT in a Polymer Extrusion Process
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基于OPC通信的多源异质数据协作管理模型的研究.

Jiashen Tian1, Cheng Shang1, Tianfei Ren1

  • 1School of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.

Sensors (Basel, Switzerland)
|December 31, 2025
PubMed
概括

本研究介绍了一个以边缘为中心的网络物理系统 (CPS) 框架,用于管理复杂的数据. 新型架构联合设计方法实现了工业应用的高精度和低延迟.

关键词:
动态时间扭曲 (DTW)边缘中心计算框架混合的OPC通信堆可以使用.基于机器学习的动态调度.多种来源的异质数据.

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相关实验视频

Last Updated: Jan 7, 2026

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科学领域:

  • 网络物理系统 (CPS)
  • 分布式系统 分布式系统
  • 边缘计算 边缘计算
  • 工业物联网工业物联网工业物联网

背景情况:

  • 管理多源异质数据是分布式网络物理系统 (CPS) 中的一个关键挑战.
  • 现有系统在互操作性,状态估计准确性,时间异步和低延迟数据分布方面扎.

研究的目的:

  • 为超高性能工业系统提出和验证一个新的以边缘为中心的计算框架和架构共同设计方法.
  • 解决数据管理,状态估计,传感器异步和实时控制命令交付方面的挑战.

主要方法:

  • 开发了一种混合OPC通信堆 (客户端/服务器,发布/订阅,P2P) 以实现可扩展的互操作性.
  • 引入了一个事件触发的自适应卡尔曼波器,具有在线噪声共变率估计,以减少错误和计算负载.
  • 实现了一个基于动态时间扭曲 (DTW) 的数据融合模块,以使用Mahalanobis距离优化来解决时间异步.
  • 设计了一个内容意识的确定性消息队列,并采用"规则优先"的调度策略,以保证低延迟控制命令 (<10 ms).

主要成果:

  • 与传统方法相比,状态估计误差减少了46.7%,计算负载减少了41%.
  • 即使在大量数据负载下,也可以实现关键控制命令的毫秒级延迟.
  • 在工业级工作负载下,使用100多个异质数据源进行实验验证.
  • 在现场数据采集和毫秒级控制命令延迟方面展示了同时的毫米级准确性.

结论:

  • 拟议的架构共同设计方法允许系统层面的协同作用,以提高工业CPS的性能.
  • 该框架为开发下一代工业应用的实时智能系统提供了一个有希望的途径.
  • 该方法直接适用于智能制造和其他要求高准确性和低延迟的苛刻领域.