Tootfinder

VEIGAR: View-consistent Explicit Inpainting and Geometry Alignment for 3D object Removal
Pham Khai Nguyen Do, Bao Nguyen Tran, Nam Nguyen, Duc Dung Nguyen
https://arxiv.org/abs/2506.15821

VEIGAR: View-consistent Explicit Inpainting and Geometry Alignment for 3D object Removal
Recent advances in Novel View Synthesis (NVS) and 3D generation have significantly improved editing tasks, with a primary emphasis on maintaining cross-view consistency throughout the generative process. Contemporary methods typically address this challenge using a dual-strategy framework: performing consistent 2D inpainting across all views guided by embedded priors either explicitly in pixel space or implicitly in latent space; and conducting 3D reconstruction with additional consistency guid…

From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction
Zhenxuan Zhang, Lipei Zhang, Yanqi Cheng, Zi Wang, Fanwen Wang, Haosen Zhang, Yue Yang, Yinzhe Wu, Jiahao Huang, Angelica I Aviles-Rivero, Zhifan Gao, Guang Yang, Peter J. Lally
https://arxiv.org/abs/…

From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction
In motion-robust magnetic resonance imaging (MRI), slice-to-volume reconstruction is critical for recovering anatomically consistent 3D brain volumes from 2D slices, especially under accelerated acquisitions or patient motion. However, this task remains challenging due to hierarchical structural disruptions. It includes local detail loss from k-space undersampling, global structural aliasing caused by motion, and volumetric anisotropy. Therefore, we propose a progressive refinement implicit neu…

Energy conversion and scaling analysis of relativistic magnetic reconnection
Harihar Pradhan, Kirit D Makwana, Bart Ripperda
https://arxiv.org/abs/2506.16227

Energy conversion and scaling analysis of relativistic magnetic reconnection
Relativistic magnetic reconnection is a key process for accelerating charged particles and producing high-energy radiation. We study this process using relativistic resistive magnetohydrodynamics simulations. Starting with Harris sheet configuration, we study time evolution of reconnection rate and the Alfven four Mach number for outflow. These measurements validate the Sweet-Parker scaling, consistent with previous studies. To study energy conversion processes, we calculate Ohmic dissipation, …

To give some examples:
When police get vastly differential results at investigating crimes against some groups (e.g., Black women) vs. others (e.g., white men), that's malcompetence. Probably plenty of simple malice involved too, and probably the whole gamut of mechanisms I mentioned in the last post are involved here.
Another example, from my own experience: when I stumble over the names of my non-white students but pronounce my white students' names flawlessly, that's malcompetence on my part, because the net effect of my selective incompetence is to make some students feel less welcome in my classroom, which hurts their learning. I'm my case, the reasons for the incompetence are not conscious nor (I think) unconscious malice, but instead a differential capability picked up from a certain kind of upbringing and then (sometimes) insufficiently mitigated by capability-building effort. Because of how I grew up, my ability to pronounce different names is biased (this is true of everyone in the world; most people don't have a classroom instructor position that causes it to matter so much). When I'm successful at mitigating my malcompetence, I use practice time with student intro videos to pare down my competence gap for the specific students in my class. This is time consuming (several hours per week for the first few weeks of classes) and I'm sad to admit that I don't always invest that time. But it's a great example of malcompetence because I have a introspective access to it.

Coriolis force acting on near-surface horizontal flows during simulations of flux emergence produces a tilt angle consistent with Joy's law on the Sun
William Roland-Batty, Hannah Schunker, Robert H. Cameron, Damien Przybylski, Laurent Gizon, David I. Pontin
https://arxiv.org/abs/2506.15935

Coriolis force acting on near-surface horizontal flows during simulations of flux emergence produces a tilt angle consistent with Joy's law on the Sun
Joy's law describes the tilt of bipolar active regions on the Sun away from an east-west orientation, where the flux of the polarity concentrated at the prograde side tends to be closer to the equator than the polarity on the retrograde side. Joy's law is attributed to the Coriolis force because of the observed increase in tilt angle at higher latitudes. This tilt plays a crucial role in some solar dynamo models. Our goal is to model the effects of the Coriolis force on a flux tube as it rises …

"Cutting funding for science research will have far-reaching consequences" - "We are on the precipice of losing an entire generation of scientists."- InForum | #Fargo #NorthDakota

Letter: Cutting funding for science research will have far-reaching consequences
"The loss of these training programs harms the students of North Dakota - they are losing opportunities to explore possible careers as scientists. We are on the precipice of losing an entire generation of scientists," writes Jenni Momsen of Fargo.

Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory
Jiancong Xiao, Zhekun Shi, Kaizhao Liu, Qi Long, Weijie J. Su
https://arxiv.org/abs/2506.12350

Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory
Despite its empirical success, Reinforcement Learning from Human Feedback (RLHF) has been shown to violate almost all the fundamental axioms in social choice theory -- such as majority consistency, pairwise majority consistency, and Condorcet consistency. This raises a foundational question: why does RLHF perform so well in practice if it fails these seemingly essential properties? In this paper, we resolve this paradox by showing that under mild and empirically plausible assumptions on the pre…

Amendments to the Montana Consumer Data Privacy Act Bring Big Changes to Big Sky Country
https://fpf.org/blog/amendments-to-the-montana-consumer-data-privacy-act-bring-big-changes-to-big-sky-country/

Iran has twice the population of Iraq, and a government that for decades has shown an ability to project power far beyond its borders. Should Iran hit back against U.S. troops or citizens, the conflict could quickly escalate — one of the reasons that no U.S. president prior to Trump has attempted a military strike against Iran’s nuclear program.
“This was a massive gamble by President Trump, and nobody knows yet whether it will pay off,” said Sen. Jack Reed (Dem.).
https://www.washingtonpost.com/politics/2025/06/22/trump-iran-bomb-consequences/

Sulphur abundances in star-forming regions from optical emission lines: A new approach based on photoionization models consistent with the direct method
Enrique P\'erez-Montero, Borja P\'erez-D\'iaz, Jos\'e M. V\'ilchez, Igor A. Zinchenko, Asier Castrillo, Marta Gavil\'an, Sandra Zamora, \'Angeles I. D\'iaz
https://

Sulphur abundances in star-forming regions from optical emission lines: A new approach based on photoionization models consistent with the direct method
The derivation of sulphur chemical abundances in the gas-phase of star-forming galaxies is explored in this work, using the emission lines produced in these regions in the optical part of the spectrum and by means of photoionization models. We adapted the code HII-CHI-mistry to account for these abundances by implementing additional grids of models that assume a variable sulphur-to-oxygen abundance ratio, beyond the commonly assumed solar ratio. The addition of these models, and their use in a …