Tootfinder

"Far right populist rage makes it harder to respond to emergencies, and often compounds them in terrifying ways. Facing down disasters requires calm, deliberation, and a willingness to set aside one’s immediate comfort and fear for a broader good. The right’s go-to response of panic and paranoia makes us all less safe by sowing confusion and promoting a reactionary brand of politics."
In MAGA world, there are no accidents - by Noah Berlatsky

In MAGA world, there are no accidents
The Baltimore bridge disaster reminded us that these folks should be nowhere near power.

Including a Luminous Central Remnant in Radiative Transfer Simulations for Type Iax Supernovae
F. P. Callan, S. A. Sim, C. E. Collins, L. J. Shingles, F. Lach, F. K. Roepke, R. Pakmor, M. Kromer, S. Srivastav
https://arxiv.org/abs/2403.15084

Including a Luminous Central Remnant in Radiative Transfer Simulations for Type Iax Supernovae
Type Iax supernovae (SNe Iax) are proposed to arise from deflagrations of Chandrasekhar mass white dwarfs. Previous deflagration simulations have achieved good agreement with the light curves and spectra of intermediate-luminosity and bright SNe Iax. However, the model light curves decline too quickly after peak, particularly in red optical and NIR bands. Deflagration models with a variety of ignition configurations do not fully unbind the white dwarf, leaving a remnant polluted with $^{56}\mat…

This https://arxiv.org/abs/2402.03808 has been replaced.
link: https://scholar.google.com/scholar?q=a

SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal Denoising
Surface electromyography (sEMG) recordings can be influenced by electrocardiogram (ECG) signals when the muscle being monitored is close to the heart. Several existing methods use signal-processing-based approaches, such as high-pass filter and template subtraction, while some derive mapping functions to restore clean sEMG signals from noisy sEMG (sEMG with ECG interference). Recently, the score-based diffusion model, a renowned generative model, has been introduced to generate high-quality and…

My colleague Alex Ruane demoed for us today the interactive IPCC6 #ClimateChange graphic that shows how #climate has evolved over our parents , our, and how it will evolve over our children’s lifetimes.
You can tailor it to your own family with names, birth years, and people outlines.
It makes a powerful reminder of how different the world of our grandparents was than the world of our children will be.
You can download your #ClimateLegacy picture to use as you like
https://svs.gsfc.nasa.gov/webapps/climate-legacies/

As a result of this, I was booted from this Facebook group. The only reason I realized this months later was when I looked to follow up with my well earned “I told you so” that following winter. Someone had of course been unable to stop going down this hill and clean took out the stop sign. I’m just reminded of this story today, as I witnessed 1 car sliding straight into the middle of the intersection as I went the other direction. 2/3

This https://arxiv.org/abs/2404.04895 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

Tensorized Ant Colony Optimization for GPU Acceleration
Ant Colony Optimization (ACO) is renowned for its effectiveness in solving Traveling Salesman Problems, yet it faces computational challenges in CPU-based environments, particularly with large-scale instances. In response, we introduce a Tensorized Ant Colony Optimization (TensorACO) to utilize the advancements of GPU acceleration. As the core, TensorACO fully transforms ant system and ant path into tensor forms, a process we refer to as tensorization. For the tensorization of ant system, we pr…

Dallas Cowboys Hiring Bill Belichick Dream Is Not Done Yet https://www.yardbarker.com/nfl/articles/dallas_cowboys_hiring_bill_belichick_dream_is_not_done_yet/s1_17150_39961456

Dallas Cowboys Hiring Bill Belichick Dream Is Not Done Yet
In a recent column for ESPN, Dan Graziano, renowned for his multifaceted insights into the NFL, delved into the 80 most compelling storylines anticipated for the upcoming 2024 NFL season. He talked about both the Dallas Cowboys and Bill Belichick as well. Graziano’s comprehensive analysis encompassed a myriad of captivating narratives, ranging from the uncertain future of players like Davante Adams to the intriguing prospects of notable free agents such as Chris Jones. Throughout the column, …

The Fireball of November 24, 1970, as the Most Probable Source of the Ischgl Meteorite
Maria Gritsevich, Jarmo Moilanen, Jaakko Visuri, Matthias M. M. Meier, Colin Maden, J\"urgen Oberst, Dieter Heinlein, Joachim Flohrer, Alberto J. Castro-Tirado, Jorge Delgado-Garc\'ia, Christian Koeberl, Ludovic Ferri\`ere, Franz Brandst\"atter, Pavel P. Povinec, Ivan S\'ykora, Florian Schweidler

The Fireball of November 24, 1970, as the Most Probable Source of the Ischgl Meteorite
In June 1976, a pristine meteorite stone weighing approximately 1 kg, fully covered with a fresh black fusion crust, was collected on a mountain road in the high-altitude Alpine environment. The recovery took place while clearing the remnants of a snow avalanche, 2 km northwest of Ischgl in Austria. Subsequent to its retrieval, the specimen remained in the finder's private residence without undergoing any scientific examination or identification until 2008, when it was brought to the University…

Tensorized Ant Colony Optimization for GPU Acceleration
Luming Yang, Tao Jiang, Ran Cheng
https://arxiv.org/abs/2404.04895 https://ar…

Tensorized Ant Colony Optimization for GPU Acceleration
Ant Colony Optimization (ACO) is renowned for its effectiveness in solving Traveling Salesman Problems, yet it faces computational challenges in CPU-based environments, particularly with large-scale instances. In response, we introduce a Tensorized Ant Colony Optimization (TensorACO) to utilize the advancements of GPU acceleration. As the core, TensorACO fully transforms ant system and ant path into tensor forms, a process we refer to as tensorization. For the tensorization of ant system, we pr…