Tootfinder

Nach Alpha-Feedback: Bungie verschiebt "Marathon" auf unbestimmte Zeit
Für das Studio Bungie sind es schwierige Monate: Nach dem Kunstklau-Ärger um "Marathon" fiel auch das Alpha-Feedback schlecht aus. Der Shooter wird verschoben.

#usa #america #fascism

🔥 Hot take, but managing middleware order in #aspnetcore is busted.
It would be nice if there were less granularity and more “when you add this, it's going to register in the right place every time”.
Case in point:

Feedforward Ordering in Neural Connectomes via Feedback Arc Minimization
Soroush Vahidi
https://arxiv.org/abs/2506.13799 https://arxi…

Feedforward Ordering in Neural Connectomes via Feedback Arc Minimization
We present a suite of scalable algorithms for minimizing feedback arcs in large-scale weighted directed graphs, with the goal of revealing biologically meaningful feedforward structure in neural connectomes. Using the FlyWire Connectome Challenge dataset, we demonstrate the effectiveness of our ranking strategies in maximizing the total weight of forward-pointing edges. Our methods integrate greedy heuristics, gain-aware local refinements, and global structural analysis based on strongly connec…

Moment Restrictions for Nonlinear Panel Data Models with Feedback
St\'ephane Bonhomme, Kevin Dano, Bryan S. Graham
https://arxiv.org/abs/2506.12569 htt…

Moment Restrictions for Nonlinear Panel Data Models with Feedback
Many panel data methods, while allowing for general dependence between covariates and time-invariant agent-specific heterogeneity, place strong a priori restrictions on feedback: how past outcomes, covariates, and heterogeneity map into future covariate levels. Ruling out feedback entirely, as often occurs in practice, is unattractive in many dynamic economic settings. We provide a general characterization of all feedback and heterogeneity robust (FHR) moment conditions for nonlinear panel data…

Classification of Quality Characteristics in Online User Feedback using Linguistic Analysis, Crowdsourcing and LLMs
Eduard C. Groen, Fabiano Dalpiaz, Martijn van Vliet, Boris Winter, Joerg Doerr, Sjaak Brinkkemper
https://arxiv.org/abs/2506.11722

Classification of Quality Characteristics in Online User Feedback using Linguistic Analysis, Crowdsourcing and LLMs
Software qualities such as usability or reliability are among the strongest determinants of mobile app user satisfaction and constitute a significant portion of online user feedback on software products, making it a valuable source of quality-related feedback to guide the development process. The abundance of online user feedback warrants the automated identification of quality characteristics, but the online user feedback's heterogeneity and the lack of appropriate training corpora limit the a…

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Boy Deluxe:
🎵 FEEDBACK
#BoyDeluxe
https://boydeluxe.bandcamp.com/track/feedback
https://open.spotify.com/track/1e4cfNsYbGeMmsgl6VlFTK

Extreme AGN feedback in the fossil galaxy group SDSSTG 4436
D. Eckert, F. Gastaldello, L. Lovisari, S. McGee, T. Pasini, M. Brienza, K. Kolokythas, E. O'Sullivan, A. Simionescu, M. Sun, M. Ayromlou, M. A. Bourne, Y. Chen, W. Cui, S. Ettori, A. Finoguenov, G. Gozaliasl, R. Kale, F. Mernier, B. D. Oppenheimer, G. Schellenberger, R. Seppi, E. Tempel

Extreme AGN feedback in the fossil galaxy group SDSSTG 4436
Supermassive black hole feedback is the currently favoured mechanism to regulate the star formation rate of galaxies and prevent the formation of ultra-massive galaxies ($M_\star>10^{12}M_\odot$). However, the mechanism through which the outflowing energy is transferred to the surrounding medium strongly varies from one galaxy evolution model to another, such that a unified model for AGN feedback does not currently exist. The hot atmospheres of galaxy groups are highly sensitive laboratories of…

Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm
https://arxiv.org/abs/2506.12323

Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
Paucity of medical data severely limits the generalizability of diagnostic ML models, as the full spectrum of disease variability can not be represented by a small clinical dataset. To address this, diffusion models (DMs) have been considered as a promising avenue for synthetic image generation and augmentation. However, they frequently produce medically inaccurate images, deteriorating the model performance. Expert domain knowledge is critical for synthesizing images that correctly encode clin…

Stability and Performance of Online Feedback Optimization for Distribution Grid Flexibility
Florian Klein-Helmkamp, Tina M\"ollemann, Irina Zettl, Andreas Ulbig
https://arxiv.org/abs/2506.13280

Stability and Performance of Online Feedback Optimization for Distribution Grid Flexibility
The integration of distributed energy resources (DERs) into sub-transmission systems has enabled new opportunities for flexibility provision in ancillary services such as frequency and voltage support, as well as congestion management. This paper investigates the stability and performance of Online Feedback Optimization (OFO) controllers in ensuring reliable flexibility provision. A hierarchical control architecture is proposed, emphasizing safe transitions between system states within the Feas…