Science Research Weekly

Super Special Stellar Objects (Season 5: Episode 11)


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Welcome to Science Research Weekly, Season 5, Episode 11. Get ready for Vitamin D and dementia-protection, exploding black holes, semi-autonomous robots for Martian exploration, a forbidden planet, a pristine star, Mothbox and Mothbot, One-pass statistical formulas in SAS, and building your own programming language. Science On.


References:

  • Association of Circulating Vitamin D in Midlife With Increased Tau-PET Burden in Dementia-Free Adults
  • DNA–drug conjugates enable logic-gated drug delivery amplified by hybridization chain reactions
  • Explaining the PeV Neutrino Fluxes at KM3NeT and IceCube with Quasiextremal Primordial Black Holes
  • Semi-autonomous exploration of martian and lunar analogues with a legged robot using a Raman-equipped robotic arm and microscopic imager
  • GEMS JWST: Transmission Spectroscopy of TOI-5205b Reveals Significant Stellar Contamination and a Metal-poor Atmosphere
  • A nearly pristine star from the Large Magellanic Cloud
  • Sloan Digital Sky Survey
  • Ectopic NMDAR expression in cancer unmasks germline-encoded autoimmunity
  • RoSHI: A Versatile Robot-oriented Suit for Human Data In-the-Wild
  • ClickGuard: A Trustworthy Adaptive Fusion Framework for Clickbait Detection
  • Mothbox and Mothbot: automated light trap and data processing system for scalable insect monitoring
  • Patterns of host plant use by monarch butterflies revealed through annotation of more than 35,000 community science records
  • iNaturalist
  • One-pass formulas for mean and variance
  • Hold On Hope: publication lag times at cell biology journals
  • Collaborating between Bioconductor and R-universe on Development of Common Infrastructure
  • R-Universe
  • You can just build your own programming language
  • T — The Orchestration Engine for Polyglot Data Science


R Packages:

  • aggreCAT: Mathematically Aggregating Expert Judgments
  • ravel: AI Copilot for R Analysis Workflows in 'RStudio'


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Science Research WeeklyBy Mark R Williamson