Various optical fiber connectors have been developed during the 20 years since optical fiber communications systems were first put into practical use. This paper describes the technical background and recent issues re...Various optical fiber connectors have been developed during the 20 years since optical fiber communications systems were first put into practical use. This paper describes the technical background and recent issues related to photonic connection technologies.展开更多
With the growing proportion of older adults globally,aging has emerged as a leading risk factor for a range of chronic diseases and mortality[1].This process is characterized by progressive degeneration and loss of fu...With the growing proportion of older adults globally,aging has emerged as a leading risk factor for a range of chronic diseases and mortality[1].This process is characterized by progressive degeneration and loss of function across multiple physiological systems[2].While chronological age is the most straightforward indicator of aging,the variability in aging across different organ systems[3]results in a wide variation in aging characteristics among individuals of the same chronological age[4,5].Recently,several promising DNA methylation(DNAm)-based algorithms(e,g.,HorvathAge,GrimAge,GrimAge2)have been developed to assess biological age by analyzing age-associated changes in DNAm patterns[6].These algorithms are now widely used in biological age assessment.Some of them have demonstrated robust predictive power for mortality and various age-related conditions[1].However,due to differences in objectives,meth-odologies,and tissue types used across these algorithms[6],it remains uncertain which tool best captures the true state of bio-logical aging.展开更多
文摘Various optical fiber connectors have been developed during the 20 years since optical fiber communications systems were first put into practical use. This paper describes the technical background and recent issues related to photonic connection technologies.
基金supported by grants from the National Natural Science Foundation of China (grant number 82301768 to H.Z.)the International Joint Laboratory on Tropical Diseases Control in Greater Mekong Subregion (grant number 21410750200 to X.L.)
文摘With the growing proportion of older adults globally,aging has emerged as a leading risk factor for a range of chronic diseases and mortality[1].This process is characterized by progressive degeneration and loss of function across multiple physiological systems[2].While chronological age is the most straightforward indicator of aging,the variability in aging across different organ systems[3]results in a wide variation in aging characteristics among individuals of the same chronological age[4,5].Recently,several promising DNA methylation(DNAm)-based algorithms(e,g.,HorvathAge,GrimAge,GrimAge2)have been developed to assess biological age by analyzing age-associated changes in DNAm patterns[6].These algorithms are now widely used in biological age assessment.Some of them have demonstrated robust predictive power for mortality and various age-related conditions[1].However,due to differences in objectives,meth-odologies,and tissue types used across these algorithms[6],it remains uncertain which tool best captures the true state of bio-logical aging.
