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相关概念视频

Issues And Trends In Healthcare Delivery System01:29

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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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Maintaining nurses' educational and administrative records in healthcare settings, including hospitals and nursing schools, is paramount. Here's a breakdown of the types of academic records mentioned:
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Role-Based Identity01:21

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Role-based identities are central to understanding how individuals navigate social environments by adopting distinct self-conceptions aligned with various societal roles. These identities are not fixed traits but are constructed through personal actions and the social feedback individuals receive in context-specific interactions. Each social role, such as student, teacher, or friend, carries a set of expectations and norms that influence how people think, feel, and behave within that...
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相关实验视频

Updated: Jan 18, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
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基于区块链的电子教育文档管理与基于角色的访问控制,使用机器学习模型.

P Chinnasamy1, B Subashini2, Ramesh Kumar Ayyasamy3

  • 1Department of Computer Science and Engineering, School of Computing, Kalasalingam Academy of Research and Education, Srivilliputtur, India.

Scientific reports
|May 29, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种基于区块链的新型系统,使用模糊的前卷积时间神经网络 (FCTNN) 和remora群集优化 (SRSO) 来增强教育凭证管理和检测恶意用户. B-FCTNN_SRSO系统显著改善了数字教育中的安全和验证流程.

关键词:
区块链 区块链 区块链 区块链电子教育文档管理电子教育文档管理雷莫拉群集优化 雷莫拉群集优化基于角色的访问权限.时间神经网络的神经网络

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Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
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相关实验视频

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Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
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科学领域:

  • 计算机科学 计算机科学
  • 信息安全 信息安全
  • 教育技术的教育技术

背景情况:

  • 数字化转型需要安全的教育凭证管理.
  • 传统方法面临着伪造,数据改和缓慢验证等挑战.
  • 机器学习 (ML) 和区块链为教育数据安全提供先进的解决方案.

研究的目的:

  • 提出一种新的电子教育文档管理系统.
  • 通过使用先进的AI和区块链检测恶意用户来增强安全性.
  • 提高凭证验证和访问控制的效率和可靠性.

主要方法:

  • 基于区块链的模糊前卷积时神经网络 (B-FCTNN) 的开发.
  • 集成模拟的remora群集优化 (SRSO) 用于访问控制.
  • 在培训期间使用自然语言处理 (NLP) 进行文档文字重量索引.
  • 在区块链上记录访问请求以进行身份验证的用户验证.

主要成果:

  • B-FCTNN_SRSO系统实现了98%的预测准确度,95%的平均精度 (MAP) 和97%的F1得分.
  • 记录的延迟率为96%,证明了高效的性能.
  • 区块链安全分析显示,97%的服务质量 (QoS),94%的精度和96%的吞吐量.

结论:

  • 拟议的B-FCTNN_SRSO系统有效地管理电子教育文件,并检测恶意用户.
  • 区块链和先进的ML技术的整合为教育凭证管理提供了强大的和安全的解决方案.
  • 该系统展示了高性能指标,验证了其在现实应用中的有效性.