Tootfinder

Anyway here's a California poppy, Eschscholzia californica, at the Antelope Valley California Poppy Preserve earlier this spring
#naturalist

Accuser: Rep In Adultery/Abortion Scandal Fantasized About Ejaculating In His Daughter's Bake Sale Cookies - Joe.My.God.
https://www.joemygod.com/2025/07/accuser-rep-in-adultery-abortion-scandal-fantasized-about-ejaculating-in-his-daughters-bake-sale-cookies/

Exascale Implicit Kinetic Plasma Simulations on El~Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics
Stefano Markidis, Andong Hu, Ivy Peng, Luca Pennati, Ian Lumsden, Dewi Yokelson, Stephanie Brink, Olga Pearce, Thomas R. W. Scogland, Bronis R. de Supinski, Gian Luca Delzanno, Michela Taufer
https://arxiv.org/abs/2507.…

Exascale Implicit Kinetic Plasma Simulations on El~Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics
Our fully kinetic, implicit Particle-in-Cell (PIC) simulations of global magnetospheres on up to 32,768 of El Capitan's AMD Instinct MI300A Accelerated Processing Units (APUs) represent an unprecedented computational capability that addresses a fundamental challenge in space physics: resolving the multi-scale coupling between microscopic (electron-scale) and macroscopic (global-scale) dynamics in planetary magnetospheres. The implicit scheme of iPIC3D supports time steps and grid spacing that a…

VR-Haptik per Exoskelett: "Haptikos"-Handschuh geht in den Verkauf
"Haptikos" ist ein Haptik-Handschuh mit Exoskelett, der Unternehmen einen vergleichsweise günstigen Einstieg in die Haptik-Simulation ermöglicht.

Generalized Uncertainty Principle as a Mechanism for CP Violation
Hector Gisbert, Victor Ilisie, Ezequiel Valero
https://arxiv.org/abs/2507.20727 https://a…

Generalized Uncertainty Principle as a Mechanism for CP Violation
Within quantum electrodynamics we show that the Generalized Uncertainty Principle induces higher-derivative corrections that promote the topological invariant $F_{μν}\,\widetilde F^{μν}$ to the dynamical, non-topological operator $\partial^λF_{μν}\,\partial_λ\widetilde F^{μν}$. We explore the resulting phenomenology, focusing on the generation of electric dipole moments. Our findings open a new low-energy window for testing quantum-gravity scenarios through precision measurements of c…

🇺🇦 #NowPlaying on KEXP's #PacificNotions
Cecile Believe:
🎵 Silver Line
#CecileBelieve
https://open.spotify.com/track/4gfcqfGeIXIGlfViA9YZQq

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals
Sonny T. Jones, Grange M. Simpson, Patrick M. Pilarski, Ashley N. Dalrymple
https://arxiv.org/abs/2507.16983

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals
Rehabilitation technology is a natural setting to study the shared learning and decision-making of human and machine agents. In this work, we explore the use of Hierarchical Reinforcement Learning (HRL) to develop adaptive control strategies for lower-limb exoskeletons, aiming to enhance mobility and autonomy for individuals with motor impairments. Inspired by prominent models of biological sensorimotor processing, our investigated HRL approach breaks down the complex task of exoskeleton contro…

Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit
Junqi Yin, Mijanur Palash, M. Paul Laiu, Muralikrishnan Gopalakrishnan Meena, John Gounley, Stephen M. de Bruyn Kops, Feiyi Wang, Ramanan Sankaran, Pei Zhang
https://arxiv.org/abs/2507.16697

Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit
Turbulence plays a crucial role in multiphysics applications, including aerodynamics, fusion, and combustion. Accurately capturing turbulence's multiscale characteristics is essential for reliable predictions of multiphysics interactions, but remains a grand challenge even for exascale supercomputers and advanced deep learning models. The extreme-resolution data required to represent turbulence, ranging from billions to trillions of grid points, pose prohibitive computational costs for models b…

Ezekiel Elliott retirement rumors brewing on social media https://www.sportingnews.com/us/nfl/dallas-cowboys/news/ezekiel-elliott-retirement-rumors-social-media/6c71b253a4e2655429be7805

A Force Feedback Exoskeleton for Teleoperation Using Magnetorheological Clutches
Zhongyuan Kong, Lei Li, Erwin Ang Tien Yew, Zirui Chen, Wenbo Li, Shiwu Zhang, Jian Yang, Shuaishuai Sun
https://arxiv.org/abs/2506.15124

A Force Feedback Exoskeleton for Teleoperation Using Magnetorheological Clutches
This paper proposes an upper-limb exoskeleton teleoperation system based on magnetorheological (MR) clutches, aiming to improve operational accuracy and enhance the immersive experience during lunar sampling tasks. Conventional exoskeleton teleoperation systems commonly employ active force feedback solutions, such as servo motors, which typically suffer from high system complexity and increased energy consumption. Furthermore, force feedback devices utilizing motors and gear reducers generally …