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相关概念视频

Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Manipulation and Analysis01:21

Manipulation and Analysis

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Relation Between the Distributed Load and Shear01:23

Relation Between the Distributed Load and Shear

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Understanding the relationship between the distributed load and shear force in structural analysis is crucial for analyzing beams subjected to various loading conditions. Consider the case of a beam experiencing a distributed load, two concentrated loads, and a couple moment.
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Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

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Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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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: Mar 11, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
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通过网络分析绘制弹性:应对逆境并继续前进

Erik van der Meulen1, Krzysztof Kaniasty2

  • 1Academy of Healthcare and Social Studies, NHL Stenden University of Applied Sciences.

Psychological trauma : theory, research, practice and policy
|March 9, 2026
PubMed
概括

弹性源于相互连接的个人,社区和社会资源,而不仅仅是个人特征. 这项研究支持生态弹性模型,显示动态,多层次系统在COVID-19流行病等具有挑战性的时期促进适应.

科学领域:

  • 心理学 心理学 心理学
  • 社会学 社会学 社会学
  • 公共卫生 公共卫生

背景情况:

  • 生态弹性模型认为,弹性来自于多层次的资源系统.
  • 了解个人,社区和社会因素的相互作用对于在COVID-19流行病等危机期间适应至关重要.

研究的目的:

  • 检查个人,社区和社会资源如何相互连接以维持弹性结果.
  • 在COVID-19大流行期间,从心理困扰和主观福祉方面调查性.
  • 测试生态弹性模型的框架,以了解适应性功能.

主要方法:

  • 心理学网络分析应用于两个数据波.
  • 数据包括弹性结果,个人优势,社区/社会资源和生活经验的指标.
  • 网络稳定性和集群/路径的诱导性分析被用来解释弹性结构.

主要成果:

  • 网络在数据波中显示出稳定的组织.
  • 心理健康挑战和福祉是中心节点.
  • 心理力量,社会联系,社区归属和生活经验的集群形成了周围的结构.

结论:

  • 研究结果在经验上支持了生态弹性模型.

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  • 适应性功能源于个人,社区和社会背景的相互作用.
  • 弹性是一种动态的,多层次的过程,由相互连接的资源系统维持,而不是孤立的属性.