Tootfinder

"Bypassing" #specialization in #Rust or How I Learned to Stop Worrying and Love Function Pointers
https://

#NowPlaying ❝All in all, I’ve done some stupid bad things and I’ve done some pretty okay things, but I’ve had a great time along the way, considering where I come from.❞ https://www.youtube.com/watch?v=OkkScHRU8G

Średni format, stary aparat mieszkowy. Fotki małej zatoki i klifów, robione z ręki nad przepaścią. Zobaczymy, czy coś z tego wyjdzie... trzeba wywołać.
Piszę tę wiadomość, więc już wiecie, że przeżyłem 😅
@… #photography

Osiris revisited: Confirming a solar metallicity and low C/O in HD 209458b
N. Bachmann, L. Kreidberg, P. Molli\`ere, D. Deming, S. -M. Tsai
https://arxiv.org/abs/2506.16232

Osiris revisited: Confirming a solar metallicity and low C/O in HD 209458b
HD 209458b is the prototypical hot Jupiter and one of the best targets available for precise atmosphere characterisation. Now that spectra from both Hubble Space Telescope (HST) and James Webb Space Telescope (JWST) are available, we can reveal the atmospheric properties in unprecedented detail. In this study, we perform a new data reduction and analysis of the original HST/WFC3 spectrum, accounting for the wavelength dependence of the instrument systematics that was not considered in previous …

"The Expanse: Osiris Reborn": Action-Rollenspiel nach "Mass Effect"-Muster
Owlcat Games traut sich ein Action-Rollenspiel zu: "The Expanse: Osiris Reborn" verspricht Ballerei, Romanzen und RPG-Systeme.

I improved my disk defragmenter. It now moves files to the end when there isn’t enough space, rather than shunting them forward (which could result in file corruption if a crash occurs).
Of course, it doesn’t actually do any of that, it just visualises it, but I think the visualisation is prettier this way too.
Enjoy!
https://

Implications of Current Litigation on the Design of AI Systems for Healthcare Delivery
Gennie Mansi, Mark Riedl
https://arxiv.org/abs/2507.15981 https://…

Implications of Current Litigation on the Design of AI Systems for Healthcare Delivery
Many calls for explainable AI (XAI) systems in medicine are tied to a desire for AI accountability--accounting for, mitigating, and ultimately preventing harms from AI systems. Because XAI systems provide human-understandable explanations for their output, they are often viewed as a primary path to prevent harms to patients. However, when harm occurs, laws, policies, and regulations also shape AI accountability by impacting how harmed individuals can obtain recourse. Current approaches to XAI e…

Transient Concepts in Streaming Graphs
Aida Sheshbolouki, M. Tamer Ozsu
https://arxiv.org/abs/2506.17451 https://arxiv.org/pdf/2506.1…

Transient Concepts in Streaming Graphs
Concept Drift (CD) occurs when a change in a hidden context can induce changes in a target concept. CD is a natural phenomenon in non-stationary settings such as data streams. Understanding, detection, and adaptation to CD in streaming data is (i) vital for effective and efficient analytics as reliable output depends on adaptation to fresh input, (ii) challenging as it requires efficient operations as well as effective performance evaluations, and (iii) impactful as it applies to a variety of u…

On Designing Modulation for Over-the-Air Computation -- Part I: Noise-Aware Design
Saeed Razavikia, Carlo Fischione
https://arxiv.org/abs/2506.15950 https:…

On Designing Modulation for Over-the-Air Computation -- Part I: Noise-Aware Design
Over-the-air computation (OAC) leverages the physical superposition property of wireless multiple access channels (MACs) to compute functions while communication occurs, enabling scalable and low-latency processing in distributed networks. While analog OAC methods suffer from noise sensitivity and hardware constraints, existing digital approaches are often limited in design complexity, which may hinder scalability and fail to exploit spectral efficiency fully. This two-part paper revisits and e…

Computational design of personalized drugs via robust optimization under uncertainty
Rabia Altunay, Jarkko Suuronen, Eero Immonen, Lassi Roininen, Jari H\"am\"al\"ainen
https://arxiv.org/abs/2507.16470

Computational design of personalized drugs via robust optimization under uncertainty
Effective disease treatment often requires precise control of the release of the active pharmaceutical ingredient (API). In this work, we present a computational inverse design approach to determine the optimal drug composition that yields a target release profile. We assume that the drug release is governed by the Noyes-Whitney model, meaning that dissolution occurs at the surface of the drug. Our inverse design method is based on topology optimization. The method optimizes the drug compositio…