Tootfinder

As top reporters continue to flock to Substack, subscription fatigue and challenges with building a wide audience pose threats to its long-term success (Steven Levy/Wired)
https://www.wired.com/story/substack-is-having-a-moment-again-but-time…

Substack Is Having a Moment—Again. But Time Is Running Out
While star reporters continue to flock to Substack, subscription fatigue is only getting worse.

A look at SFGate, which has the largest audience of any purely local US news site; EIC Grant Marek says the site has 60 employees and has "never had a layoff" (Lucy Kenningham/Press Gazette)
https://pressgazette.co.uk/pub…

How SFGATE is making local news pay and filling California's news gaps
SFGATE has the largest audience of any purely local news site in the US.

A Time-resolved High-resolution Spectroscopic Analysis of Ionized Calcium and Dynamical Processes in the Ultra-hot Jupiter HAT-P-70 b: #GHOST Spies Ultra-hot Jupiter With Ultra-fast Winds: https://noirlab.edu/public/blog/ghost-spies-jupiter/ - study of HAT-P-70 b’s atmosphere highlights the spectacular spectroscopic abilities of Gemini South’s GHOST.

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives
Zhixing Huang, Bing Xue, Mengjie Zhang, Jeremy S. Ronney, Keith C. Gordon, Daniel P. Killeen
https://arxiv.org/abs/2505.21901

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives
Machine learning techniques play an important role in analyzing spectral data. The spectral data of fish biomass is useful in fish production, as it carries many important chemistry properties of fish meat. However, it is challenging for existing machine learning techniques to comprehensively discover hidden patterns from fish biomass spectral data since the spectral data often have a lot of noises while the training data are quite limited. To better analyze fish biomass spectral data, this pap…

I'm launching a #Substack, just like every other writer! 😎 It's called "Music For A Sunday Afternoon," and this post gives you an idea of what you'll find. Come along for the ride if you like, and tell all your friends and neighbors!

What's It All About?
Years ago, like last century (HA!), my dad broadcast a program on the college radio station called “Music For A Sunday Afternoon.” He’d highlight a composer or occasionally an artist, discuss their music, and play several recordings of their work.

Statement issued by Revs. Barber and Wilson-Hartgrove. https://ourmoralmoment.substack.com/p/we-must-arrest-the-attention-of-the

We Must Arrest the Attention of the Nation
After arrest at US Capitol, we have been released. We are OK, but all is not well.

I’ve been hungry for seeing these days, hungry especially for color—wild, deeply saturated, mood-altering color. It has me looking up—as I always do when I’m lost—at the sky. Celeste blue. Blue of infinite depth. Ultra-blue.
https://salrandolph.substack.com/p/ways-of…

Ways of Seeing: Blue
Taking inspiration from Maggie Nelson's book, Bluets, this Ways of Seeing encourages you to take the color blue as your oracle and guide.

Paul Krugman : "Trump est un Parrain Š l'envers, faisant des offres que les autres pays ne peuvent pas accepter."
https://paulkrugman.substack.com/p/trump-is-the-godfather-in-reverse

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives
Zhixing Huang, Bing Xue, Mengjie Zhang, Jeremy S. Ronney, Keith C. Gordon, Daniel P. Killeen
https://arxiv.org/abs/2505.21901

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives
Machine learning techniques play an important role in analyzing spectral data. The spectral data of fish biomass is useful in fish production, as it carries many important chemistry properties of fish meat. However, it is challenging for existing machine learning techniques to comprehensively discover hidden patterns from fish biomass spectral data since the spectral data often have a lot of noises while the training data are quite limited. To better analyze fish biomass spectral data, this pap…

What Should We Do Now? Live with Rev. Dr. William J. Barber II
https://robertreich.substack.com/p/what-should-we-do-now-live-with-rev

What Should We Do Now? Live with Rev. Dr. William J. Barber II
Watch now (33 mins) | Friends,