Tootfinder

I don't think the Fourth Estate has a backbone any more. Protoplasmic cowards, the major outlets like CBS/Paramount are more concerned about clicks & lawsuits than providing the spotlight on government they're supposed to serve these days.
Original post: https://bsky.app/profile/di…

Consistent Modeling of Non-equilibrium Dust Sublimation and the Interactions with Dust Evolution in the Inner Regions of Protoplanetary Disks
Sheng Xu, Lile Wang, Luis C. Ho, Renyue Cen, Shenzhen Xu
https://arxiv.org/abs/2509.11036

Consistent Modeling of Non-equilibrium Dust Sublimation and the Interactions with Dust Evolution in the Inner Regions of Protoplanetary Disks
The inner regions of protoplanetary disks are host to the sublimation of dust grains, a process traditionally modeled using equilibrium thermodynamics. We demonstrate through ab-initio density functional theory (DFT) and kinetic Monte Carlo (KMC) simulations that silicate dust sublimation is inherently a non-equilibrium kinetic process. The binding energies and vibrational frequencies governing desorption, calculated for MgSiO3 and other compositions, reveal that sublimation timescales far exce…

Fractional Skellam Random Fields on $\mathbb{R}^2_ $
Pradeep Vishwakarma
https://arxiv.org/abs/2509.10870 https://arxiv.org/pdf/2509.10870

Fractional Skellam Random Fields on $\mathbb{R}^2_+$
We study a Skellam point process on $\mathbb{R}^M_+$, $M\ge1$. For $M=2$, it reduces to a Skellam random field on plane which is a two parameter Lévy process with rectangular increment. A weak convergent result is obtained for it. Further, we consider three fractional variants of Skellam random field on positive quadrant of plane. Their point probabilities, associated governing equations, and other distributional properties are studied in detail. Later, we consider an integral of Skellam rando…

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning
Somnath Hazra, Pallab Dasgupta, Soumyajit Dey
https://arxiv.org/abs/2509.09208 https://…

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning
Constrained Reinforcement Learning (RL) aims to maximize the return while adhering to predefined constraint limits, which represent domain-specific safety requirements. In continuous control settings, where learning agents govern system actions, balancing the trade-off between reward maximization and constraint satisfaction remains a significant challenge. Policy optimization methods often exhibit instability near constraint boundaries, resulting in suboptimal training performance. To address t…

PSA: 🥵 Idk who needs to hear this, but in a heatwave for the love of science use air conditioning. If you don’t have air conditioning, get a portable unit as soon as possible.
The climate is going to get hotter and heat can very easily kill you or a loved one or a pet; or cause permanent disability.
Heat is a lot more dangerous than cold temperatures; even if you’re “young and healthy”.
The climate is already fucked and has long reached a tipping point as far as humans go—our only bet is large-scale CO2 extraction.
Sacrificing your health “to save energy*” for an imaginary fight that we have already lost is stupid. It’s also one of those “individual responsibility” mindfucks—the culprits for pollution are industry maximizing profits and governments that are not acting.
Anyway, stay cool.
*note that AC uses overall a lot less energy than heating does

Modal Geometry Governs Proteoform Dynamics
James N. Cobley
https://arxiv.org/abs/2508.20004 https://arxiv.org/pdf/2508.20004…

Modal Geometry Governs Proteoform Dynamics
A central mystery is how a specific proteoform, a distinct molecular variant of a protein, dynamically shapes its own future by evolving into new modes that exist only in potential until realised. Here, Modal Geometric Field (MGF) Theory couples real and abstract proteoform transitions through four axioms. Axioms one-three (invariant) dictate that only first-order transitions occur on the discrete, volume invariant, non symplectic modal manifold. Axiom four (mutable) functorially projects the g…

Bayesian Generalized Nonlinear Models Offer Basis Free SINDy With Model Uncertainty
Aliaksandr Hubin
https://arxiv.org/abs/2507.06776 https://

Bayesian Generalized Nonlinear Models Offer Basis Free SINDy With Model Uncertainty
Sparse Identification of Nonlinear Dynamics (SINDy) has become a standard methodology for inferring governing equations of dynamical systems from observed data using statistical modeling. However, classical SINDy approaches rely on predefined libraries of candidate functions to model nonlinearities, which limits flexibility and excludes robust uncertainty quantification. This paper proposes Bayesian Generalized Nonlinear Models (BGNLMs) as a principled alternative for more flexible statistical …

Seeing new depths: Three-dimensional flow of a free-swimming alga
Gregorius Pradipta, Wanho Lee, Van Tran, Kyle Welch, Santosh K. Sankar, Yongsam Kim, Satish Kumar, Xin Yong, Jiarong Hong, Sookkyung Lim, Xiang Cheng
https://arxiv.org/abs/2509.06827

Seeing new depths: Three-dimensional flow of a free-swimming alga
A swimming microorganism stirs the surrounding fluid, creating a flow field that governs not only its locomotion and nutrient uptake, but also its interactions with other microorganisms and the environment. Despite its fundamental importance, capturing this flow field and unraveling its biological implications remains a formidable challenge. In this work, we report the first direct, time-resolved measurements of the three-dimensional (3D) flow field generated by a single, free-swimming microalg…

Can LLMs Replace Humans During Code Chunking?
Christopher Glasz, Emily Escamilla, Eric O. Scott, Anand Patel, Jacob Zimmer, Colin Diggs, Michael Doyle, Scott Rosen, Nitin Naik, Justin F. Brunelle, Samruddhi Thaker, Parthav Poudel, Arun Sridharan, Amit Madan, Doug Wendt, William Macke, Thomas Schill
https://arxiv.org/abs/2506.198…

Can LLMs Replace Humans During Code Chunking?
Large language models (LLMs) have become essential tools in computer science, especially for tasks involving code understanding and generation. However, existing work does not address many of the unique challenges presented by code written for government applications. In particular, government enterprise software is often written in legacy languages like MUMPS or assembly language code (ALC) and the overall token lengths of these systems exceed the context window size for current commercially a…

Replaced article(s) found for q-bio.BM. https://arxiv.org/list/q-bio.BM/new
[1/1]:
- Modal Geometry Governs Proteoform Dynamics
James N. Cobley
https://…