Tootfinder

Das #Rezept des Tages:
🍝 #Farfalle mit #Champignons 🍄‍🟫
Ein cremiger Genuss ohne viel Aufwand. Wenn es schnell gehen soll, aber trotzdem richtig gut schmecken muss, kommt dieses

Schnelle Farfalle mit Champignons – cremiges Pastaglück in 30 Minuten
Du hast wenig Zeit? Dann probier diese schnellen Farfalle mit Champignons – einfach, würzig und perfekt für den Feierabend!

Crosslisted article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/2]:
- Interpolation of Microscale Stress and Strain Fields Based on Mechanical Models
Wenzhe Shan, Udo Nackenhorst
https://arxiv.org/abs/2104.09749
- Joint discovery of governing partial differential equations from multi-source datasets by competi...
Hao Xu, Siyu Lou, Yuntian Chen, Dongxiao Zhang
https://arxiv.org/abs/2606.30699 https://mastoxiv.page/@arXiv_csLG_bot/116843565775934283
- LinApart3: efficient algorithm for multivariate partial fraction decomposition with linear denomi...
L. Fek\'esh\'azy, A. Kardos
https://arxiv.org/abs/2606.30708 https://mastoxiv.page/@arXiv_hepph_bot/116843629511193799
- Introducing AuriGLOBES: the effect of compressive tides, compact object-induced mass loss, and si...
Pablo Contreras Guerra, Robert J. J. Grand, Marta Reina-Campos, Claudio Dalla Vecchia
https://arxiv.org/abs/2606.30746 https://mastoxiv.page/@arXiv_astrophGA_bot/116843732310368458
- Time-dependent adaptive mesh refinement solver for the Gross-Pitaevskii-Poisson equations
Iv\'an \'Alvarez-Rios
https://arxiv.org/abs/2606.30827 https://mastoxiv.page/@arXiv_astrophGA_bot/116843767701812779
- Computed materials proposals depart from the structural memory of experimental discovery
Dan Nguyen, Karen Cao, Brian Chu, Nick Lemoff, Paul Kienzle, William Ratcliff II
https://arxiv.org/abs/2606.30967 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116843665854969922
- An Enhanced RPA-LDA Model for Ion Stopping Power from Cold Matter to High-Energy Density Plasmas:...
Thomas A. Mehlhorn, Ming Feng Gu, Igor Golovkin
https://arxiv.org/abs/2606.30978 https://mastoxiv.page/@arXiv_physicsplasmph_bot/116843597824839239
- Full-Wave Green's-Function Modeling of Collective Single-Photon Emission in Non-Markovian Open-Sy...
Hyunwoo Choi, Jisang Seo, Junwoo Gim, Bowoo Jang, Weng C. Chew, Dong-Yeop Na
https://arxiv.org/abs/2606.31317 https://mastoxiv.page/@arXiv_quantph_bot/116843791099390803
- Side-Chain Tuning of Thermal-Expansion Crossover in Metal-Organic Frameworks
Wei Qiu, Penghua Ying
https://arxiv.org/abs/2606.31417 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116843748631678308
toXiv_bot_toot

Not to put too fine a point on it, but a midwifery campaign is perfectly possible in #Runequest too, even when both prospective biological parents are male.
Re: https://social.alexschroeder.ch/@osr/s

How a gruesome injury helped 49ers leader Fred Warner find his purpose https://www.nytimes.com/athletic/7344376/2026/07/21/fred-warner-ankle-injury-comeback-49ers-byu/

RE: https://indieweb.social/@mariapopova/117241209570031245
"One measure of maturity — perhaps the purest measure — may be the courage to put our arms around those former selves and pull them close, to take tender responsibility for their missteps and confusions, refusing denial, refusing despair. Without compassion for who we used to be, we can never fully own who we are or open to who we can become."
I only learned how to do this with years of therapy, but it has really helped make my body easier to live in and my life easier to lead. I always gave others concessions and excuses, but it took reframing past experiences from the view of an outsider to allow myself personal forgiveness.
Imposter syndrome? That was another matter. It instantly went away in 2016 when Donald Trump was elected. I realized how truly incompetent, manipulative, and openly malicious people can gain power and no longer felt anyone could say anything about my well-qualified, earnest, and ethical little jobs.

LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds
Qian Serena Hou, Zecheng Gan
https://arxiv.org/abs/2607.00750 https://arxiv.org/pdf/2607.00750 https://arxiv.org/html/2607.00750
arXiv:2607.00750v1 Announce Type: new
Abstract: We propose the Long-Short-Range Neural Network (LSR-Net), an extensible operator-learning framework for predicting pattern dynamics on planar domains, spherical surfaces, and general manifolds. The method decomposes the forward evolution operator into a long-range component, represented by a compact Fourier multiplier constructed via the Sum-of-Exponentials (SOE) approximation, and a short-range component adapted to the underlying geometry and its intrinsic symmetries. For general manifolds represented by irregularly sampled point clouds, the long-range component is implemented by Gaussian gridding onto an auxiliary regular grid, where the Fourier multiplier is efficiently applied in k-space using FFT and the result is interpolated back to the original sample points. We evaluate LSR-Net on several benchmark systems, including the Allen-Cahn, Cahn-Hilliard, Schnakenberg, and Turing systems, over planar domains, spherical surfaces, and a blob-shaped manifold. Numerical results demonstrate that LSR-Net consistently achieves higher accuracy and improved stability compared with baseline operator-learning models. In particular, for Allen-Cahn dynamics on the sphere, the RMSE is reduced by approximately three orders of magnitude compared with the Spherical Fourier Neural Operator (SFNO). Rotation and reflection equivariance tests further confirm that the learned operator is consistent with these geometric transformations. These results indicate that LSR-Net provides an effective and robust approach for learning pattern dynamics on complex geometries.
toXiv_bot_toot

The Next Generation Virgo Cluster Survey (NGVS). II. A Catalog of Galaxies in the Virgo Cluster
Laura Ferrarese, Patrick Cote, Lauren A. MacArthur, Joel C. Roediger, John P. Blakeslee, Michele Cantiello, Jean-Charles Cuillandre, Puragra Guhathakurta, Stephen Gwyn, Max M. Kurzner, Eric W. Peng, Matthew Santos, Eleanore B. Todd, Elisa Toloba, Pierre-Alain Duc, Patrick R. Durrell, Nicholas Fantin, Yuting Feng, Ariane Lancon, Sungsoon Lim, Chengze Liu, Deborah Lokhorst, Alessia Longobardi, Simona Mei, J. Christopher Mihos, Sanjaya Paudel, Thomas H. Puzia, Anand Raichoor, Ruben Sanchez-Janssen, Kaixiang Wang, Hongxin Zhang, Alessandro Boselli, Michael L. Balogh, Samuel Boissier, Eric Emsellem, J. J. Kavelaars, Alan W. McConnachie, Cameron R. Morgan, Chelsea Spengler, James E. Taylor, Matthew A. Taylor, Toby Brown, Sebastien Fabbro, Raphael Gavazzi, Hendrik Hildebrandt, Rashi Jain, Andres Jordan, Rory Smith, Solveig Thompson, Haruka Yoshino, Wim van Driel, Ludovic van Waerbeke, Tyrone E. Woods, Jade Yeung
https://arxiv.org/abs/2607.18414 https://arxiv.org/pdf/2607.18414 https://arxiv.org/html/2607.18414
arXiv:2607.18414v1 Announce Type: new
Abstract: The Next Generation Virgo Cluster Survey (NGVS) is a deep, high resolution imaging campaign that used the 1 deg$^2$ MegaCam instrument on the Canada-France-Hawaii Telescope to carry out a comprehensive optical survey of the Virgo cluster, from its core to its virial radius. The NGVS covers a contiguous area of 104 deg$^2$ (8.63 Mpc$^2$ at the 16.5 Mpc distance of Virgo) in the $u^*$-,$g$-,$i$-, and $z$-band, with additional limited coverage in $r$. In this paper, we present the final catalog of Virgo galaxies across the entire NGVS area. The catalog includes 3680 galaxies considered to be $bona~fide$ members of the cluster, spanning a factor of 2.5 million in luminosity, from $g = 8.42$ mag to $g = 24.41$ mag ($M_g = -22.67$ mag to $M_g = -6.68$ mag). With 2100 previously uncataloged galaxies, the NGVS catalog augments the number of known Virgo members by a factor 2.3. The catalog is complete down to $g = 18.6$ mag ($M_g=-12.5$ mag, corresponding to a stellar mass $M_* \sim 1.6\times10^7~M_{\odot}$ for an old stellar population) and 50% complete at $g = 22.0$ mag ($M_g=-9.1$ mag, $M_* \sim 6.2\times10^5~M_{\odot}$), three magnitudes deeper than the venerable Virgo Cluster Catalog (VCC), which for over 40 years has served as the reference standard for Virgo. Photometric and structural parameters are derived for all NGVS galaxies and presented in a series of tables, alongside nuclear and morphological classification, as well as stellar masses and, when available, radial velocities.
toXiv_bot_toot

Good article on a Gen Digital-discovered #phishing campaign. More reason to block *.workers.dev (Cloudflare) as it is a key link in this campaign’s kill chain #cybersecurity
https://www.gendigital.com/blog/insights/research/the-phishing-link-that-died-on-purpose