在人工膝关节的发展史上,Frank Herbert Gunston的名字犹如一座里程碑。他首创的多轴心膝关节假体,首次将低摩擦理念与生物力学原理完美结合,奠定了现代膝关节置换术的科学基础。此外,他提出的“股骨后滚”概念和金属-聚乙烯材料组合,...在人工膝关节的发展史上,Frank Herbert Gunston的名字犹如一座里程碑。他首创的多轴心膝关节假体,首次将低摩擦理念与生物力学原理完美结合,奠定了现代膝关节置换术的科学基础。此外,他提出的“股骨后滚”概念和金属-聚乙烯材料组合,至今仍是人工膝关节设计的核心准则,为全球数百万骨关节炎患者重塑了自由行走的尊严。展开更多
Cyber threat detection is a crucial aspect of contemporary cybersecurity due to the depth and complexity of cyberattacks.It is the identification of malicious activity,unauthorized access,and possible intrusions in ne...Cyber threat detection is a crucial aspect of contemporary cybersecurity due to the depth and complexity of cyberattacks.It is the identification of malicious activity,unauthorized access,and possible intrusions in networks and systems.Modern detection methods employ artificial intelligence and machine learning to study vast amounts of data,learn patterns,and anticipate potential threats.Real-time monitoring and anomaly detection improve the capacity to react to changing threats more rapidly.Cyber threat detection systems aim to reduce false positives and provide complete coverage against the broadest possible attacks.This research advocates for proactive measures and adaptive technologies in defending digital environments.Improvements in detection ability by organizations will assist in safeguarding assets and integrity in operations in this increasingly digital world.This paper draws on the categorization of cyber threat detection methods using hesitant bipolar fuzzy Frank operators.Categorization is a step that is necessary for systematic comparison and assessment of detection methods so that the most suitable method for particular cybersecurity requirements is chosen.Furthermore,this research manages uncertainty and vagueness that exists in decision-making by applying hesitant bipolar fuzzy logic.The importance of the work lies in how it fortifies cybersecurity architectures with a formal method of discovering optimal detection measures and improving responsiveness,resulting in holistic protection against dynamic threats.展开更多
文摘在人工膝关节的发展史上,Frank Herbert Gunston的名字犹如一座里程碑。他首创的多轴心膝关节假体,首次将低摩擦理念与生物力学原理完美结合,奠定了现代膝关节置换术的科学基础。此外,他提出的“股骨后滚”概念和金属-聚乙烯材料组合,至今仍是人工膝关节设计的核心准则,为全球数百万骨关节炎患者重塑了自由行走的尊严。
基金funded by Ongoing Research Funding program(ORF-2025-749),King Saud University,Riyadh,Saudi Arabia.
文摘Cyber threat detection is a crucial aspect of contemporary cybersecurity due to the depth and complexity of cyberattacks.It is the identification of malicious activity,unauthorized access,and possible intrusions in networks and systems.Modern detection methods employ artificial intelligence and machine learning to study vast amounts of data,learn patterns,and anticipate potential threats.Real-time monitoring and anomaly detection improve the capacity to react to changing threats more rapidly.Cyber threat detection systems aim to reduce false positives and provide complete coverage against the broadest possible attacks.This research advocates for proactive measures and adaptive technologies in defending digital environments.Improvements in detection ability by organizations will assist in safeguarding assets and integrity in operations in this increasingly digital world.This paper draws on the categorization of cyber threat detection methods using hesitant bipolar fuzzy Frank operators.Categorization is a step that is necessary for systematic comparison and assessment of detection methods so that the most suitable method for particular cybersecurity requirements is chosen.Furthermore,this research manages uncertainty and vagueness that exists in decision-making by applying hesitant bipolar fuzzy logic.The importance of the work lies in how it fortifies cybersecurity architectures with a formal method of discovering optimal detection measures and improving responsiveness,resulting in holistic protection against dynamic threats.
