Introduction After nearly a century-long trend toward single-family living arrangements, people in wealthy nations are increasingly living in multi-generational households. Multi-generational living arrangements can, in theory, increase psychological, social, and financial capital-factors associated with improvements in health and longevity. Methods We conducted a survival analysis using the ...

We analyze the performance of several copying garbage collection algorithms in a large address space offered by modern architectures. In particular, we describe the design and implementation of the RealOF garbage collector, an algorithm explicitly designed to exploit the features of 64-bit environments. This collector maintains a correspondence between object age and object placement in the add...

This paper presents the verification of a generational copying garbage collector for the CakeML runtime system. The proof is split into an algorithm proof and an implementation proof. The algorithm proof follows the structure of the informal intuition for the generational collector’s correctness, namely, a partial collection cycle in a generational collector is the same as running a full collec...

Generational collectors are well known as a tool for shortening pause times incurred by garbage collection and for improving garbage collection efficiency. In this paper, we investigate how to best use generations with on-the-fly collectors. On-the-fly collectors run concurrently with the program threads and induce very short program pauses. Thus, the motivation for incorporating generations is...

In Pakistan, government efforts to stem the spread of COVID-19 met with resistance due country's preexisting social, political, economic, and cultural conditions. The preceding pandemic shows that generational attitudes, social norms, practices can hinder control COVID-19. Therefore, purpose this study was investigate knowledge its openness preventative measures better comprehend differences ex...

Whether the Millennials are less auto-centric than previous generations has been widely discussed in literature. Most existing studies use regression models and assume that all factors linear-additive contributing to young adults' driving behaviors. This study relaxes this assumption by applying a non-parametric statistical learning method, namely gradient boosting decision trees (GBDT). Using ...