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相关概念视频

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Ethical Standards I01:25

Ethical Standards I

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The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
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Distribution Reliability and Automation01:25

Distribution Reliability and Automation

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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Global Regulatory Systems01:28

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Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
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Updated: Sep 17, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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智能城市的分散信任框架:一个区块链启用的网络安全和数据完整性模型.

Rafiqul Islam1,2, Rajesh Bose2, Sandip Roy2

  • 1Computer Science and Engineering, Guru Nanak Institute of Technology, JIS Group, West Bengal, 700114, India.

Scientific reports
|July 2, 2025
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概括

这项研究引入了使用区块链和人工智能来增强智能城市网络安全和数据完整性的去中心化信任框架. 该框架提高了性能和物联网设备的效率,创造了更值得信赖的城市生态系统.

关键词:
人工智能驱动的威胁检测检测.区块链技术是区块链技术.数据完整性和数据验证.一个分散的信任框架.轻量级的自适应性权益证明 (LA-PoS)智慧城市网络安全 智慧城市网络安全

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科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 城市技术 城市技术

背景情况:

  • 由于物联网集成,智能城市面临网络安全和数据完整性挑战.
  • 现有系统在与信任管理和城市基础设施的脆弱性作斗争.

研究的目的:

  • 为智慧城市提出一个去中心化的信任框架.
  • 解决网络安全,数据完整性和信任管理漏洞的问题.
  • 提高城市系统的安全性,可扩展性和效率.

主要方法:

  • 集成区块链技术,人工智能驱动的威胁检测,以及轻量级自适应性权益证明 (LA-PoS) 共识机制.
  • 实施一个三层框架:区块链,网络安全和数据完整性协议.
  • 利用加密标准和基于人工智能的异常检测来实现安全.

主要成果:

  • 实现了交易吞吐量增加三倍,延迟时间减少30%.
  • 显示了98.2%的威胁检测率,减少了假阳性.
  • 提高能源效率,将物联网设备电池寿命几乎翻一番.

结论:

  • 该框架为智慧城市应用程序 (如交通管理和能源系统) 提供安全,可扩展和高效的解决方案.
  • 解决当前智能城市技术中的关键缺口,促进可信的城市生态系统.
  • 未来的工作包括改进互操作性,抗量子加密,并扩展到新的领域.