J
James J. Collins
Researcher at Massachusetts Institute of Technology
Publications - 700
Citations - 105255
James J. Collins is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Synthetic biology & Population. The author has an hindex of 151, co-authored 669 publications receiving 89476 citations. Previous affiliations of James J. Collins include Baylor College of Medicine & University at Albany, SUNY.
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Real-time experimental control of a system in its chaotic and nonchaotic regimes
TL;DR: In this paper, a real-time adaptive, model-independent feedback control technique is used to control a driven magnetoelastic ribbon in its nonchaotic and chaotic regimes.
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The distribution of genomic variations in human iPSCs is related to replication timing reorganization during reprogramming
Junjie Lu,Junjie Lu,Hu Li,Ming Hu,Takayo Sasaki,Anna Baccei,Anna Baccei,David M. Gilbert,Jun S. Liu,James J. Collins,James J. Collins,Paul H. Lerou,Paul H. Lerou +12 more
TL;DR: It is found that early- and late-replicating domains in iPSCs are differentially affected by copy-number gains and losses and that in particular, CNV gains accumulate in regions of the genome that change to earlier replication during the reprogramming process.
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Real-time, adaptive, model-independent control of low-dimensional chaotic and nonchaotic dynamical systems
TL;DR: In this article, a model-independent control technique for chaotic and non-chaotic low-dimensional dynamical systems is proposed, which operates in real-time (i.e., it does not require a learning stage).
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Body mass index and serum chlorinated dibenzo-p-dioxin and dibenzofuran levels.
James J. Collins,Kenneth M. Bodner,Carol J. Burns,Robert A. Budinsky,Les L. Lamparski,Michael Wilken,Greg D. Martin,Michael L. Carson +7 more
TL;DR: Age and BMI are both important considerations when comparing a potentially exposed group to a referent group, or to national norms, and may also be important in epidemiology studies where back-extrapolation from current dioxin levels is used to assess historical chlorophenol exposure.
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Using noise and chaos control to control nonchaotic systems.
TL;DR: In this article, chaos control techniques are used to stabilize unstable periodic orbits in a non-chaotic system provided additive noise can be utilized to determine the local dynamics of a chosen orbit, and to move the system's trajectory into the neighborhood of the orbit so that control can be initiated.