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The motion of a rocket is governed by the conservation of momentum principle. A rocket's momentum changes by the same amount (with the opposite sign) as the ejected gases. As time goes by, the rocket's mass (which includes the mass of the remaining fuel) continuously decreases, and its velocity increases. Therefore, the principle of conservation of momentum is used to explain the dynamics of a rocket's motion. The ideal rocket equation gives the change in velocity that a rocket...
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Updated: May 20, 2025

Using Generative Art to Convey Past and Future Climate Transitions
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Time, the final frontier.

Gautier Follain1,2,3, Michal Dibus1,3, Omkar Joshi1,3

  • 1Turku Bioscience Centre, University of Turku and Åbo Akademi University, Finland.

Molecular Oncology
|March 24, 2025
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Summary
This summary is machine-generated.

Cancer research needs to explore tumor evolution over time, not just static snapshots. Integrating temporal dynamics with advanced imaging and omics will reveal crucial cancer cell and microenvironment interactions.

Keywords:
cancer heterogeneitycircadian clocklive‐cell imagingmetastasistemporal dynamicstemporal omics

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Area of Science:

  • Oncology
  • Systems Biology
  • Genomics

Background:

  • Cancer's heterogeneity presents significant challenges due to unique tumor ecosystems.
  • Single-cell and spatial transcriptomics have advanced understanding of tumor spatial diversity.
  • The temporal dimension of tumor evolution remains largely underexplored.

Purpose of the Study:

  • To advocate for the integration of temporal dynamics into cancer research.
  • To highlight the limitations of static snapshots in understanding dynamic tumor evolution.
  • To propose a shift towards data-driven, continuous approaches in cancer studies.

Main Methods:

  • Development of advanced live imaging techniques for real-time observation.
  • Implementation of innovative temporal omics methodologies.
  • Creation of novel computational tools for analyzing dynamic biological data.

Main Results:

  • Static tumor snapshots obscure the dynamic interplay between cancer cells and their microenvironment.
  • Integrating temporal dynamics is crucial for a comprehensive understanding of cancer.
  • Advanced techniques are necessary to capture the evolving nature of tumors.

Conclusions:

  • A fundamental shift from endpoint experiments to continuous, data-driven approaches is essential.
  • Integrating temporal dynamics will provide deeper insights into cancer progression and adaptation.
  • Future cancer research should prioritize understanding the temporal evolution of tumor ecosystems.