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
Frank L.Lewis (Life Fellow,IEEE) received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University...Frank L.Lewis (Life Fellow,IEEE) received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University of Texas at Arlington Research Institute.He is the author of seven U.S.patents,numerous journal special issues and journal articles,and 20 books.He received the Fulbright Research Award,the NSF Research Initiation Grant,the ASEE Terman Award,the International Neural Network Society Gabor Award,the U.K.Institute of Measurement and Control Honeywell Field Engineering Medal,the IEEE Computational Intelligence Society Neural Networks Pioneer Award,the AIAA Intelligent Systems Award,and the AACC Ragazzini Award.展开更多
Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He iscurrently a member of the National Academy of Inventorsand the Moncrief-O'Donnell Chair with The University ofT...Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He iscurrently a member of the National Academy of Inventorsand the Moncrief-O'Donnell Chair with The University ofTexas at Arlington Research Institute.He is the author ofseven U.s.patents,numerous journal special issues andjournal articles,and 20 books.展开更多
Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University o...Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University of Texas at Arlington Research Institute.He is the author of seven U.S.patents,numerous journal special issues and journal articles,and 20 books.展开更多
Stacking faults(SFs)and the interaction between solute atoms and SFs in a Mg–Bi alloy are investigated using aberration-corrected scanning transmission electron microscopy.It is found that abundant I_(1)SFs are gener...Stacking faults(SFs)and the interaction between solute atoms and SFs in a Mg–Bi alloy are investigated using aberration-corrected scanning transmission electron microscopy.It is found that abundant I_(1)SFs are generated after cold rolling and are mainly distributed inside{1012}twins.After aging treatment,the formation of single-layer and three-layer Bi atom segregation in the vicinity of I_(1)fault are clearly observed.Bi segregation also occurs at the 1/6<2203>bounding Frank partial dislocation cores.The segregation behaviors in I_(1)fault and Frank dislocations are discussed and rationalized using first-principles calculations.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.
文摘Frank L.Lewis (Life Fellow,IEEE) received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University of Texas at Arlington Research Institute.He is the author of seven U.S.patents,numerous journal special issues and journal articles,and 20 books.He received the Fulbright Research Award,the NSF Research Initiation Grant,the ASEE Terman Award,the International Neural Network Society Gabor Award,the U.K.Institute of Measurement and Control Honeywell Field Engineering Medal,the IEEE Computational Intelligence Society Neural Networks Pioneer Award,the AIAA Intelligent Systems Award,and the AACC Ragazzini Award.
文摘Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He iscurrently a member of the National Academy of Inventorsand the Moncrief-O'Donnell Chair with The University ofTexas at Arlington Research Institute.He is the author ofseven U.s.patents,numerous journal special issues andjournal articles,and 20 books.
文摘Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University of Texas at Arlington Research Institute.He is the author of seven U.S.patents,numerous journal special issues and journal articles,and 20 books.
基金support by the National Natural Science Foundation of China(52071033)Open Foundation of State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body(32115016).
文摘Stacking faults(SFs)and the interaction between solute atoms and SFs in a Mg–Bi alloy are investigated using aberration-corrected scanning transmission electron microscopy.It is found that abundant I_(1)SFs are generated after cold rolling and are mainly distributed inside{1012}twins.After aging treatment,the formation of single-layer and three-layer Bi atom segregation in the vicinity of I_(1)fault are clearly observed.Bi segregation also occurs at the 1/6<2203>bounding Frank partial dislocation cores.The segregation behaviors in I_(1)fault and Frank dislocations are discussed and rationalized using first-principles calculations.
