Tootfinder

A little bit of Heather for #silentsunday ?
Just the right memories at this cold and windy day here. - enjoy.
#schwarzwald #blackforest

Billion dollar corporation and yet I cannot change the brightness of an HDR monitor. #windows is terrible.
I guess I can, I need to open the settings, open monitor settings, click the correct monitor with HDR enable, enter HDR settings, scroll to SDR brightness and then adjust the slider.
....
On KDE I can scroll the mouse wheel on the brightness icon in the plasma panel.

Collaborative Loco-Manipulation for Pick-and-Place Tasks with Dynamic Reward Curriculum
Tianxu An, Flavio De Vincenti, Yuntao Ma, Marco Hutter, Stelian Coros
https://arxiv.org/abs/2509.13239

Collaborative Loco-Manipulation for Pick-and-Place Tasks with Dynamic Reward Curriculum
We present a hierarchical RL pipeline for training one-armed legged robots to perform pick-and-place (P&P) tasks end-to-end -- from approaching the payload to releasing it at a target area -- in both single-robot and cooperative dual-robot settings. We introduce a novel dynamic reward curriculum that enables a single policy to efficiently learn long-horizon P&P operations by progressively guiding the agents through payload-centered sub-objectives. Compared to state-of-the-art approaches for lon…

A Range-Based Sharding (RBS) Protocol for Scalable Enterprise Blockchain
M. Z. Haider, M. Dias de Assuncao, Kaiwen Zhang
https://arxiv.org/abs/2509.11006 https://

A Range-Based Sharding (RBS) Protocol for Scalable Enterprise Blockchain
Blockchain technology offers decentralization and security but struggles with scalability, particularly in enterprise settings where efficiency and controlled access are paramount. Sharding is a promising solution for private blockchains, yet existing approaches face challenges in coordinating shards, ensuring fault tolerance with limited nodes, and minimizing the high overhead of consensus mechanisms like PBFT. This paper proposes the Range-Based Sharding (RBS) Protocol, a novel sharding mecha…

The HST Ultraviolet Spectrum of V723 Mon: Additional Evidence of a Stellar Companion
C. S. Kochanek (Department of Astronomy, The Ohio State University), K. Z. Stanek (Department of Astronomy, The Ohio State University), T. A. Thompson (Department of Astronomy, The Ohio State University), T. Jayasinghe (Independent Researcher)
https://arxi…

The HST Ultraviolet Spectrum of V723 Mon: Additional Evidence of a Stellar Companion
V723 Mon is a high mass function (f=1.7Msun) single lined spectroscopic binary with a red giant primary that Jayasinghe et al. (2021) suggested had a black hole as its massive companion. Unfortunately, el-Badry et al. (2022) demonstrated that it had a hotter stellar companion whose detectability in optical spectra was difficult due to its rapid rotation. Here we confirm the presence of the stellar companion with a Hubble Space Telescope STIS ultraviolet spectrum.

Not sure what I expected here, but Lightroom’s HDR editing support combined with its SDR rendition settings are consistently giving me the best results for highlight recovery. Just gives you more control, even for SDR output. #AdobeLightroom #Lightroom

Development and Analysis of Chien-Physics-Informed Neural Networks for Singular Perturbation Problems
Gautam Singh, Sofia Haider
https://arxiv.org/abs/2509.10945 https://…

Development and Analysis of Chien-Physics-Informed Neural Networks for Singular Perturbation Problems
In this article, we employ Chien-Physics Informed Neural Networks (C-PINNs) to obtain solutions for singularly perturbed convection-diffusion equations, reaction-diffusion equations, and their coupled forms in both one and two-dimensional settings. While PINNs have emerged as a powerful tool for solving various types of differential equations, their application to singular perturbation problems (SPPs) presents significant challenges. These challenges arise because a small perturbation parameter…

Turbulent wind thrust control to reduce pitch motion of floating wind platforms with improved rotor operation
Yi Zhang, Peter Stansby, David Apsley, Hannah Mullings
https://arxiv.org/abs/2509.11707

Turbulent wind thrust control to reduce pitch motion of floating wind platforms with improved rotor operation
For the dynamic analysis of floating offshore wind turbines (FOWTs) in realistic operating environment, this paper develops a coupled aero-hydro-mooring-servo model applicable to turbulent wind and irregular sea states with high computational efficiency. A modified rotor control strategy with platform motion feedback is proposed with a novel gain-scheduling technique to mitigate the negative damping effect on platform motions and decouple the rotor dynamics from the platform dynamics for better…

Improved Maximin Share Guarantee for Additive Valuations
Ehsan Heidari, Alireza Kaviani, Masoud Seddighin, AmirMohammad Shahrezaei
https://arxiv.org/abs/2510.10423 https://

Improved Maximin Share Guarantee for Additive Valuations
The maximin share ($\textsf{MMS}$) is the most prominent share-based fairness notion in the fair allocation of indivisible goods. Recent years have seen significant efforts to improve the approximation guarantees for $\textsf{MMS}$ for different valuation classes, particularly for additive valuations. For the additive setting, it has been shown that for some instances, no allocation can guarantee a factor better than $1-\tfrac{1}{n^4}$ of maximin share value to all agents. However, the best cur…

The Anatomy of a Personal Health Agent
A. Ali Heydari, Ken Gu, Vidya Srinivas, Hong Yu, Zhihan Zhang, Yuwei Zhang, Akshay Paruchuri, Qian He, Hamid Palangi, Nova Hammerquist, Ahmed A. Metwally, Brent Winslow, Yubin Kim, Kumar Ayush, Yuzhe Yang, Girish Narayanswamy, Maxwell A. Xu, Jake Garrison, Amy Aremnto Lee, Jenny Vafeiadou, Ben Graef, Isaac R. Galatzer-Levy, Erik Schenck, Andrew Barakat, Javier Perez, Jacqueline Shreibati, John Hernandez, Anthony Z. Faranesh, Javier L. Prieto, Conn…

The Anatomy of a Personal Health Agent
Health is a fundamental pillar of human wellness, and the rapid advancements in large language models (LLMs) have driven the development of a new generation of health agents. However, the application of health agents to fulfill the diverse needs of individuals in daily non-clinical settings is underexplored. In this work, we aim to build a comprehensive personal health agent that is able to reason about multimodal data from everyday consumer wellness devices and common personal health records, …