Tootfinder

Found an app called “Octave Coffee”. It’s an opinionated timer for pourover coffee. Tells you how much to pour, then how much to wait, and so on. And it has a cute pixel art kitty.
The problem is… it negs you while doing it, and your reward at the end for following the instructions is the message, “You actually listened. Shocking.”
I did it twice. It doesn’t vary.
So… I’m deleting it, even though I found it useful, because I don’t want to be insulted first thing in the morn…

Could Terrell Edmunds Complete The Las Vegas Raiders’ Puzzle? https://raiderramble.com/2025/08/11/could-terrell-edmunds-complete-the-las-vegas-raiders-puzzle/

Combinatorial and Gaussian Foundations of Rational Nth Root Approximations: Theorems and Conjectures
Isaac Wolford
https://arxiv.org/abs/2508.14095 https://

Combinatorial and Gaussian Foundations of Rational Nth Root Approximations: Theorems and Conjectures
We present an approach (the biroot method) for nth root approximation that yields closed-form rational functions with coefficients derived from binomial structures, Gaussian functions, or qualifying DAG structures. The method emerges from an analysis of Newton's method applied to root extraction, revealing that successive iterations generate coefficients following rows of Pascal's triangle in an alternating numerator-denominator pattern. After further exploration of these patterns, we formulate…

High-gain model-following control for trajectory tracking
Nicals Tietze, Kai Wulff, Johann Reger
https://arxiv.org/abs/2506.13463 https://

High-gain model-following control for trajectory tracking
We consider trajectory tracking for minimum-phase nonlinear systems in Byrnes-Isidori form using the model-following control (MFC) architecture. The tracking problem is motivated by a hierarchical control concept where a higher-level instance provides the reference trajectory at run-time. We present a computational efficient implementation of the feedback linearisation MFC design, and apply high-gain feedback in the process control loop (PCL) to achieve practical tracking in presence of Lipschi…

I was reminded again why it takes more than a feeling to get #Connections right, even when the hurried, obvious answer is waiting there for you. I nearly bit the dust by falling for a barracuda of a red herring.
#Connections734
Puzzle № 734
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For those who think that going out is the wrong thing to do today: Here's a quick puzzle for you.
#MathPuzzle #ScientificAmerican #DicePuzzle

"..some residents in #Ballymena have started to mark their front doors to indicate their nationality to avoid attack.."
I lived in this town, Ian Paisley's home town and DUP core territory, for 3 years as a teenager. Not been back.
It was characterised by narrow-mindedness and bigotry then in the 60s.
The last place to concentrate migrants, if that is what has happene…

Police injured, houses burned in second night of riots in Northern Ireland
Rioters said to target ‘foreigners’ in Northern Ireland town following alleged sexual assault of local teenage girl.

Simulation of irradiated hybrid planar pixels modules at fluences expected at HL-LHC
Marco Bomben
https://arxiv.org/abs/2506.10823 https://

Simulation of irradiated hybrid planar pixels modules at fluences expected at HL-LHC
Signal loss is the main limitation on tracking/vertexing performance due to radiation damage effect to hybrid pixel detectors when irradiated at fluences expected at High Luminosity LHC (HL-LHC). It is important to have reliable predictions on the charge collection performance after irradiation in order to predict operational voltage values and test tracking algorithms robustness. In this paper the validation of combined TCAD and Monte Carlo simulations of hybrid silicon planar pixels sensors w…

I solved today's puzzle!
That Non-Platonic Feeling by Stefan Jewett
Yay! I did it in 1 tries!
#4x3game #WordPuzzle
https://www.4x…

This https://arxiv.org/abs/2506.05008 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Structure-Aware Radar-Camera Depth Estimation
Monocular depth estimation aims to determine the depth of each pixel from an RGB image captured by a monocular camera. The development of deep learning has significantly advanced this field by facilitating the learning of depth features from some well-annotated datasets \cite{Geiger_Lenz_Stiller_Urtasun_2013,silberman2012indoor}. Eigen \textit{et al.} \cite{eigen2014depth} first introduce a multi-scale fusion network for depth regression. Following this, subsequent improvements have come from r…