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Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

2.8K
A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
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Actuarial Approach01:20

Actuarial Approach

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The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
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Stability of structures01:14

Stability of structures

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In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
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Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

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Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Multicompartment Models: Overview01:14

Multicompartment Models: Overview

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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
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Updated: Jul 24, 2025

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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金融市场的简单持续性:过,生成过程和结构性风险.

Jeremy Turiel1,2, Paolo Barucca1, Tomaso Aste1

  • 1Department of Computer Science, UCL, Gower Street, London WC1E 6BT, UK.

Entropy (Basel, Switzerland)
|July 8, 2023
PubMed
概括
此摘要是机器生成的。

我们引入了简化的持久性来分析网络演变,揭示了金融市场的长期记忆和明显的衰退模式. 更流动的市场表现出更慢的持久性衰退,表明复杂的集体行为和潜在的系统脆弱性.

关键词:
复杂的系统复杂的系统.金融网络 金融网络长时间记忆 长期记忆动机持久性 动机持久性网络图案 网络图案网络理论 网络理论时间序列分析分析时间序列分析在拓上进行过.

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科学领域:

  • 网络科学 网络科学
  • 金融计量经济学 金融计量经济学
  • 复杂系统分析 复杂系统分析

背景情况:

  • 了解金融市场的时间动态对于评估系统性风险至关重要.
  • 传统方法往往无法捕捉市场演变中的高阶结构.
  • 网络分析为研究复杂的相互依赖提供了一个强大的镜头.

研究的目的:

  • 引入简化的持久性作为一个新的测量方法来量化网络模式的时间演变.
  • 调查金融市场网络结构中的长期记忆特性和衰变模式.
  • 用基于网络的衰减指数来描述金融市场的效率和流动性.

主要方法:

  • 简化持久性适用于从相关性过获得的网络.
  • 拓小自由图 (TMFG) 过和简单的值被用于网络生成.
  • 用零模型来分析生成过程和进化约束.
  • 计算了长记忆过程的衰变指数来描述市场的特征.

主要成果:

  • 在持久的简式复合数中观察到两种制度的权力法衰变,这表明长期记忆.
  • TMFG 方法有效地识别了高阶结构,优于值方法.
  • 与流动性较低的市场相比,更流动的市场表现出较慢的持久性衰退.
  • 这一发现与有效市场纯粹是随机的概念形成鲜明对比.

结论:

  • 简单化的持久性揭示了金融市场可预测的集体变量演变,即使个体动态不那么可预测.
  • 流动性市场的持续衰退速度较慢可能表明对冲击的系统脆弱性较高.
  • 该研究为通过网络动态来描述金融市场行为和效率提供了一个新的框架.