Tootfinder

My collaborator @… just gave a fantastic talk at #ic2s2 about our "urban highways" paper https://www.

The Formation of Double Hot Jupiter Systems through von Zeipel–Lidov–Kozai Migration: #planets and two stars can produce something rare - double hot Jupiters: https://news.yale.edu/2025/06/18/new-study-offers-double-dose-hot-jupiters

Using off-treatment sequential multiple imputation for binary outcomes to address intercurrent events handled by a treatment policy strategy
Sunita Rehal, Nicky Best, Sarah Watts, Thomas Drury
https://arxiv.org/abs/2507.14006

Using off-treatment sequential multiple imputation for binary outcomes to address intercurrent events handled by a treatment policy strategy
The estimand framework proposes different strategies to address intercurrent events. The treatment policy strategy seems to be the most favoured as it is closely aligned with the pre-addendum intention-to-treat principle. All data for all patients should ideally be collected, however, in reality patients may withdraw from a study leading to missing data. This needs to be dealt with as part of the estimation. Several areas of research have been conducted exploring models to estimate the estimand…

Nesting behind $\hat{Z}$-invariants
Shoma Sugimoto
https://arxiv.org/abs/2507.13996 https://arxiv.org/pdf/2507.13996

Nesting behind $\hat{Z}$-invariants
In the spirit of arXiv:2501.12985, we propose an abelian categorification of $\hat{Z}$-invariants for negative definite plumbed 3-manifolds. It provides a blueprint for the expected dictionary between these $3$-manifolds and log VOAs; that is, the contribution from 3d $\mathcal{N}=2$ theory via 3d-3d correspondence is recursively binary encoded in the abelian category of modules over the hypothetical log VOA, and is decoded by the recursive application of the theory of Feigin--Tipunin construct…

Enhanced Predictive Modeling for Hazardous Near-Earth Object Detection: A Comparative Analysis of Advanced Resampling Strategies and Machine Learning Algorithms in Planetary Risk Assessment
Sunkalp Chandra
https://arxiv.org/abs/2508.15106

Enhanced Predictive Modeling for Hazardous Near-Earth Object Detection: A Comparative Analysis of Advanced Resampling Strategies and Machine Learning Algorithms in Planetary Risk Assessment
This study evaluates the performance of several machine learning models for predicting hazardous near-Earth objects (NEOs) through a binary classification framework, including data scaling, power transformation, and cross-validation. Six classifiers were compared, namely Random Forest Classifier (RFC), Gradient Boosting Classifier (GBC), Support Vector Classifier (SVC), Linear Discriminant Analysis (LDA), Logistic Regression (LR), and K-Nearest Neighbors (KNN). RFC and GBC performed the best, b…

from my link log —
Exploit a binary with sigreturn oriented programming (SROP).
https://rog3rsm1th.github.io/posts/sigreturn-oriented-programming/
saved 2021-06-22

Die ePetition 181506 an den Bundestag aus dem Bereich Mess- und Eichwesen mit dem Titel
Anpassung des Mess- und Eichgesetzes (ressourcenschonender und kostensparender Zähleraustausch)
kann bis zum Mittwoch 30. Juli 2025 01:00 UTC mitgezeichnet werden und lautet
Mit der Petition wird gefordert, das Mess- und Eichgese…

Die ePetition 181506 an den Bundestag aus dem Bereich Mess- und Eichwesen mit dem Titel
Anpassung des Mess- und Eichgesetzes (ressourcenschonender und kostensparender Zähleraustausch)
kann bis zum Mittwoch 30. Juli 2025 01:00 UTC mitgezeichnet werden und lautet
Mit der Petition wird gefordert, das Mess- und Eichgese…

Benchmark #BrownDwarfs – a blue M2 T5 wide binary and a probable young [M4 M4] [T7 T8] hierarchical quadruple: https://academic.oup.com/mnras/article/542/2/656/8155088?login=false -> Rare quadruple star system could unlock mystery of brown dwarfs: https://ras.ac.uk/news-and-press/research-highlights/rare-quadruple-star-system-could-unlock-mystery-brown-dwarfs

High-dimensional regression with outcomes of mixed-type using the multivariate spike-and-slab LASSO
Soham Ghosh, Sameer K. Deshpande
https://arxiv.org/abs/2506.13007

High-dimensional regression with outcomes of mixed-type using the multivariate spike-and-slab LASSO
We consider a high-dimensional multi-outcome regression in which $q,$ possibly dependent, binary and continuous outcomes are regressed onto $p$ covariates. We model the observed outcome vector as a partially observed latent realization from a multivariate linear regression model. Our goal is to estimate simultaneously a sparse matrix ($B$) of latent regression coefficients (i.e., partial covariate effects) and a sparse latent residual precision matrix ($Ω$), which induces partial correlations …