Tootfinder

A 3D model simulation of hydrogen chloride photochemistry on Mars: Comparison with satellite data
Benjamin Benne (The University of Edinburgh, School of GeoSciences, UK, Centre for Exoplanet Science, University of Edinburgh, UK), Paul I. Palmer (The University of Edinburgh, School of GeoSciences, UK, Centre for Exoplanet Science, University of Edinburgh, UK), Benjamin M. Taysum (DLR, Germany), Kevin S. Olsen (Department of Physics, University of Oxford, UK, School of Physical Sciences,…

A 3D model simulation of hydrogen chloride photochemistry on Mars: Comparison with satellite data
HCl was detected in the Martian atmosphere by the NOMAD and ACS spectrometers aboard the ExoMars TGO. Photochemical models show that using gas-phase chemistry alone is insufficient to reproduce these data. Recent work has developed a heterogeneous chemical network within a 1D photochemistry model, guided by the seasonal variability in HCl. The aim of this work is to show that incorporating heterogeneous chlorine chemistry into a global 3D model of Martian photochemistry with conventional gas-ph…

Kaksi saimaannorppaa kuoli pyydyksiin #eläinoikeudet

Kaksi saimaannorppaa kuoli pyydyksiin
Toinen norppa kuoli laittoman kalanpyydyksen seurauksena.

Emergent collective dynamics from motile photokinetic organisms
J. Morales, P. Munoz, D. Noto, H. N Ulloa, F. Guzman-Lastra
https://arxiv.org/abs/2506.19081

Emergent collective dynamics from motile photokinetic organisms
The day-night cycle drives the largest biomass migration on Earth: the diel vertical migration (DVM) of aquatic organisms. Here, we present a three-dimensional agent-based model that incorporates photokinesis, gyrotaxis, and stochastic reorientation to explore how individual-level swimming behaviors give rise to population-scale DVM patterns. By solving Langevin equations for swarms of swimmers, we identify four distinct regimes -- Surface Accumulation, Shallow DVM, Deep DVM, and Sinking -- gov…

(x-post FB, original post at https://www.facebook.com/wesarkitsap/posts/pfbid02S2z7MXFpJaAvePFYEEC9EuhX8dzgGkVMYmKooRsW5XnV7DQwhN3wfm16K7i1f1ZVl)
Our Suquamish subject was safely located and extracted! …

Anrainer verzweifelt - Jugendliche mit Peitschen sorgen in Wien für Angst #News #Nachrichten

Defects at Play: Shaping the Photophysics and Photochemistry of Ice
Marta Monti, Yu Jin, Gonzalo D\'iaz Mir\'on, Arpan Kundu, Marco Govoni, Giulia Galli, Ali Hassanali
https://arxiv.org/abs/2506.16568

Defects at Play: Shaping the Photophysics and Photochemistry of Ice
The mechanisms by which light interacts with ice and the impact of photo-induced reactions are central to our understanding of environmental, atmospheric and astrophysical processes. However, a microscopic description of the photoproducts originating from UV absorption and emission processes has remained elusive. Here we explore the photochemistry of ice using time-dependent hybrid density functional theory on various models of pristine and defective ice Ih. Our investigation of the excited sta…

A tak poza tym, to wysłałem parę łatek, by ulepszyć funkcję epytest w #Gentoo.
Wymuszają krótkie podsumowania, załączają tworzenie plików junit .xml, żeby ułatwić maszynowe przetwarzanie wyników, i — co najważniejsze — dodają zmienną EPYTEST_PLUGINS, żeby podawać, które wtyczki mają być załadowane. Będziemy dążyć do tego, by całkiem odejść od domyślnego automatycznego ładowania wtyczek.

President Pathogen
bot by @…
No laws were broken in the making of this bot: please don't torture me.
#satire #potus45

Self-Supervised Inductive Logic Programming
Stassa Patsantzis
https://arxiv.org/abs/2507.16405 https://arxiv.org/pdf/2507.16405

Self-Supervised Inductive Logic Programming
Inductive Logic Programming (ILP) approaches like Meta \-/ Interpretive Learning (MIL) can learn, from few examples, recursive logic programs with invented predicates that generalise well to unseen instances. This ability relies on a background theory and negative examples, both carefully selected with expert knowledge of a learning problem and its solutions. But what if such a problem-specific background theory or negative examples are not available? We formalise this question as a new setting…

From model-based learning to model-free behaviour with Meta-Interpretive Learning
Stassa Patsantzis
https://arxiv.org/abs/2507.16434 https://

From model-based learning to model-free behaviour with Meta-Interpretive Learning
A "model" is a theory that describes the state of an environment and the effects of an agent's decisions on the environment. A model-based agent can use its model to predict the effects of its future actions and so plan ahead, but must know the state of the environment. A model-free agent cannot plan, but can act without a model and without completely observing the environment. An autonomous agent capable of acting independently in novel environments must combine both sets of capabilities. We s…