Property:Has subobject
From Complex Time
"Has subobject" is a predefined property representing a container construct and is provided by Semantic MediaWiki. The container allows to accumulate property-value assignments similar to that of a normal wiki page but within a different entity space while being linked to the embedding subject. This property is pre-deployed (also known as special property) and comes with additional administrative privileges but can be used just like any other user-defined property.
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Aging and Adaptation in Infectious Diseases II/Session I: Immune System: Architecture and Dynamics +
Aging and Adaptation in Infectious Diseases II/Session I: Immune System: Architecture and Dynamics#Universal laws and architectures in complex networked systems with applications to aging and immune systems +, Aging and Adaptation in Infectious Diseases II/Session I: Immune System: Architecture and Dynamics#Allometric Scalings and Immune Dynamics +, Aging and Adaptation in Infectious Diseases II/Session I: Immune System: Architecture and Dynamics#Immunosenescence in Coupled Innate/Adaptive Immune Architecture +, …
Aging and Adaptation in Infectious Diseases II/Session II: Immune System: Aging and Heterogeneity#Influenza viruses encountered in childhood leave a lifelong imprint +, Aging and Adaptation in Infectious Diseases II/Session II: Immune System: Aging and Heterogeneity#Original antigenic sin and antigenic maps +, Aging and Adaptation in Infectious Diseases II/Session II: Immune System: Aging and Heterogeneity#The arrow of time as seen through the immune system and the physiological internalization of time +, …
Aging and Adaptation in Infectious Diseases II/Session IV: Short Talks for Late Arrival#Biozzi mice and the antibody-lifespan connectio +, Aging and Adaptation in Infectious Diseases II/Session IV: Short Talks for Late Arrival#Understanding immunosenescence with an interplay of innate and adaptive immunity +, Aging and Adaptation in Infectious Diseases II/Session IV: Short Talks for Late Arrival#Drawing trajectories through disease space and visualizing how they vary +
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