Tootfinder

Gamer haben die Hedgefonds-Manager ausgetrickst: Gelesen im Buch von Douglas Rushkoff, "Survival of the Richest."
Gamer sind offenbar eine neue Macht.
Hoffentlich haben sie,
anders als die krankhaft Reichen,
gelernt, dass Hass und Gier zu nichts führt ausser Not und Elend.
Dann können sie uns vielleicht helfen, uns vor den Algorithmen von Meta, X & Google und andern Auswüchsen zu schützen.

Notícias de chuva forte em Petrópolis agora. Então não deve tardar muito pra ela chegar aqui (e o céu estš realmente estranho). Espero que dê tempo de eu dar a minha aulinha e voltar pra casa antes de alagar tudo.

I agree with @… , algorithmic feeds are not "necessarily" bad.
What's bad is when they are imposed on you and you don't have a way to turn them off (or have no transparency on what they do)
But having ability to setup our own algo with simple rules within our own feed would be awesome

I love taking the train, but the weaponized incompetence of VIA Rail makes wish I'd taken another type of transportation, nearly every time.
Current status: “I, like the other two agents you spoke to, can't actually help you in any way, but I assure you that once you're on the train, the staff will be able to help. It's *the algorithm* not us!”

Benchmarking 80 binary phenotypes from the openSNP dataset using deep learning algorithms and polygenic risk score tools
Muhammad Muneeb, David B. Ascher, YooChan Myung, Samuel F. Feng, Andreas Henschel
https://arxiv.org/abs/2603.06768

Deixei o meu quadro branco, com um monte de contas escritas nele, sem apagar por meses. Estš sendo um suplício limpš-lo agora. Ališs, nem sei se conseguirei. Jš esfreguei loucamente com aqueles líquidos de limpeza e ele ainda estš cheio de manchas. 😬

Simulation and optimization of the Active Magnetic Shield of the n2EDM experiment
N. J. Ayres, G. Ban, G. Bison, K. Bodek, V. Bondar, T. Bouillaud, G. L. Caratsch, E. Chanel, W. Chen, C. Crawford, V. Czamler, C. B. Doorenbos, S. Emmeneger, S. K. Ermakov, M. Ferry, M. Fertl, A. Fratangelo, D. Galbinski, W. C. Griffith, Z. D. Grujic, K. Kirch, V. Kletzl, J. Krempel, B. Lauss, T. Lefort, A. Lejuez, K. Michielsen, J. Micko, P. Mullan, O. Naviliat-Cuncic, F. M. Piegsa, G. Pignol, C. Pistillo, I. Rien\"acker, D. Ries, S. Roccia, D. Rozp\k{e}dzik, L. Sanchez-Real Zielniewicz, N. von Schickh, P. Schmidt-Wellenburg, E. P. Segarra, L. Segner, N. Severijns, K. Svirina, J. Thorne, J. Vankeirsbilck, N. Yazdandoost, J. Zejma, N. Ziehl, G. Zsigmond
https://arxiv.org/abs/2601.22960 https://arxiv.org/pdf/2601.22960 https://arxiv.org/html/2601.22960
arXiv:2601.22960v1 Announce Type: new
Abstract: The n2EDM experiment at the Paul Scherrer Institute aims to conduct a high-sensitivity search for the electric dipole moment of the neutron. Magnetic stability and control are achieved through a combination of passive shielding, provided by a magnetically shielded room (MSR), and a surrounding active field compensation system by an Active Magnetic Shield (AMS). The AMS is a feedback-controlled system of eight coils spanned on an irregular grid, designed to provide magnetic stability to the enclosed volume by actively suppressing external magnetic disturbances. It can compensate static and variable magnetic fields up to $\pm 50$ $\mu$T (homogeneous components) and $\pm 5$ $\mu$T/m (first-order gradients), suppressing them to a few $\mu$T in the sub-Hertz frequency range. We present a full finite element simulation of magnetic fields generated by the AMS in the presence of the MSR. This simulation is of sufficient accuracy to approach our measurements. We demonstrate how the simulation can be used with an example, obtaining an optimal number and placement of feedback sensors using genetic algorithms.
toXiv_bot_toot

Replaced article(s) found for q-bio.PE. https://arxiv.org/list/q-bio.PE/new
[1/1]:
- Multi-scale species richness estimation with deep learning
Victor Boussange, et al.
https://arxiv.org/abs/2507.06358 https://mastoxiv.page/@arXiv_qbioPE_bot/114827906343277830
- Speciation by local adaptation and isolation by distance in extended environments
Lara D. Hissa, Flavia M. D. Marquitti, Marcus A. M. de Aguiar
https://arxiv.org/abs/2508.06719 https://mastoxiv.page/@arXiv_qbioPE_bot/115014772512868183
- Sex chromosome stability and turnover across vertebrates: a developmental gene regulatory network...
Wen-Juan Ma, Ricard Fontser\`e, Tristan Cornelis, Paris Veltsos, Qi Zhou
https://arxiv.org/abs/2602.23624 https://mastoxiv.page/@arXiv_qbioPE_bot/116158604279592691
- Split-or-decompose: Improved FPT branching algorithms for maximum agreement forests
David Mestel, Steven Chaplick, Steven Kelk, Ruben Meuwese
https://arxiv.org/abs/2409.18634 https://mastoxiv.page/@arXiv_csDS_bot/113225219437770040
- Genetic contribution of advantaged ancestors in the biparental Moran model -- finite selection
Camille Coron (MIA Paris-Saclay), Yves Le Jan (LMO)
https://arxiv.org/abs/2502.01178 https://mastoxiv.page/@arXiv_mathPR_bot/113944371956056819
- Stability analysis and long-time convergence of a partial differential equation model of two-phas...
Luce Breuil (MERGE)
https://arxiv.org/abs/2603.19814 https://mastoxiv.page/@arXiv_mathAP_bot/116277582769324623
toXiv_bot_toot