Tootfinder

This https://arxiv.org/abs/2403.11479 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A priori estimates for parabolic Monge-Ampère type equations
We prove the existence and regularity of convex solutions to the first initial-boundary value problem for the parabolic Monge-Ampère equationn $$ \left\{\begin{eqnarray} &&-u_t+\det D^2u= ψ(x,t) \quad\quad\ \text{ in } Q_T,\newline &&u=ϕ\quad\text{ on }\partial_pQ_T, \end{eqnarray}\right. $$ where $ψ,ϕ$ are given functions, $Q_T=Ω\times(0,T]$, $\partial_p Q_T$ is the parabolic boundary of $Q_T$, and $Ω\subset\mathbb{R}^n$ is a uniformly convex domain. Our approach can also be use…

Resilience and adaptability in self-evidencing systems
Mahault Albarracin, Dalton A R Sakthivadivel
https://arxiv.org/abs/2506.06897 https://

Resilience and adaptability in self-evidencing systems
In this paper we will articulate a view of resilience under the free energy principle and vice versa. The free energy principle is about existence and identity, and resilience is the condition under which things exist at all. In previous work this has been investigated as modelling resilience using the free energy principle. We will extend that work by making the case that self-organisation under the free energy principle is about resilience, in the sense that identity is a constant process of …

What Is Centrism? -- "Let me start by saying I don't know the answer to that question." (Hamilton Nolan/How Things Work)
https://www.hamiltonnolan.com/p/what-is-centrism
http://www.memeorandum.com/250605/p52#a250605p52

Learning to cluster neuronal function
Nina S. Nellen, Polina Turishcheva, Michaela Vystr\v{c}ilov\'a, Shashwat Sridhar, Tim Gollisch, Andreas S. Tolias, Alexander S. Ecker
https://arxiv.org/abs/2506.03293

Learning to cluster neuronal function
Deep neural networks trained to predict neural activity from visual input and behaviour have shown great potential to serve as digital twins of the visual cortex. Per-neuron embeddings derived from these models could potentially be used to map the functional landscape or identify cell types. However, state-of-the-art predictive models of mouse V1 do not generate functional embeddings that exhibit clear clustering patterns which would correspond to cell types. This raises the question whether th…

Self-organization to multicriticality
Silja Sormunen, Thilo Gross, Jari Saram\"aki
https://arxiv.org/abs/2506.04275 https://arxi…

Self-organization to multicriticality
Self-organized criticality is a well-established phenomenon, where a system dynamically tunes its structure to operate on the verge of a phase transition. Here, we show that the dynamics inside the self-organized critical state are fundamentally far more versatile than previously recognized, to the extent that a system can self-organize to a new type of phase transition while staying on the verge of another. In this first demonstration of self-organization to multicriticality, we investigate a …

Contributions of the Petabyte Scale Sequence Search Codeathon toward efforts to scale sequence-based searches on SRA
Priyanka Ghosh, Kjiersten Fagnan, Ryan Connor, Ravinder Pannu, Travis J. Wheeler, Mihai Pop, C. Titus Brown, Tessa Pierce-Ward, Rob Patro, Jacquelyn S. Michaelis, Thomas L. Madden, Christiam Camacho, Olaitan I. Awe, Arianna I. Krinos, Ren\'e KM Xavier, Rodrigo Ortega Polo, Jack W. Roddy, Adelaide Rhodes, Alexander Sweeten, Adrian Viehweger, Bari\c{s} Ekim, Harihara S…

Contributions of the Petabyte Scale Sequence Search Codeathon toward efforts to scale sequence-based searches on SRA
The volume of biological data being generated by the scientific community is growing exponentially, reflecting technological advances and research activities. The National Institutes of Health's (NIH) Sequence Read Archive (SRA), which is maintained by the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), is a rapidly growing public database that researchers use to drive scientific discovery across all domains of life. This increase in available dat…

The influence of data gaps and outliers on resilience indicators
Teng Liu, Andreas Morr, Sebastian Bathiany, Lana L. Blaschke, Zhen Qian, Chan Diao, Taylor Smith, Niklas Boers
https://arxiv.org/abs/2505.19034

The influence of data gaps and outliers on resilience indicators
The resilience, or stability, of major Earth system components is increasingly threatened by anthropogenic pressures, demanding reliable early warning signals for abrupt and irreversible regime shifts. Widely used data-driven resilience indicators based on variance and autocorrelation detect `critical slowing down', a signature of decreasing stability. However, the interpretation of these indicators is hampered by poorly understood interdependencies and their susceptibility to common data issue…