Tootfinder

from my link log —
Parsing protobuf like never before.
https://mcyoung.xyz/2025/07/16/hyperpb/
saved 2025-07-24 https://

Swedish television is broadcasting live from Budapest Pride.
https://www.svtplay.se/video/ed66A3X/svt-nyheter-direkt/pride-rekordmanga-trotsar-forbudet

SVT Nyheter Direkt – Pride - rekordmånga trotsar förbudet
Ungerns premiärminister har infört ett nytt förbud mot dagens Prideparad i Budapest. Trots risken för höga böter väntas rekordmånga delta. SVTs utsända rapporterar från paraden.

Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions
Licai Sun, Xingxun Jiang, Haoyu Chen, Yante Li, Zheng Lian, Biu Liu, Yuan Zong, Wenming Zheng, Jukka M. Lepp\"anen, Guoying Zhao
https://arxiv.org/abs/2507.21015

Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions
Current facial emotion recognition systems are predominately trained to predict a fixed set of predefined categories or abstract dimensional values. This constrained form of supervision hinders generalization and applicability, as it reduces the rich and nuanced spectrum of emotions into oversimplified labels or scales. In contrast, natural language provides a more flexible, expressive, and interpretable way to represent emotions, offering a much broader source of supervision. Yet, leveraging s…

Assessing the Reliability and Validity of a Balance Mat for Measuring Postural Stability: A Combined Robot-Human Approach
Abishek Shrestha, Damith Herath, Angie Fearon, Maryam Ghahramani
https://arxiv.org/abs/2507.18943

Assessing the Reliability and Validity of a Balance Mat for Measuring Postural Stability: A Combined Robot-Human Approach
Postural sway assessment is important for detecting balance problems and identifying people at risk of falls. Force plates (FP) are considered the gold standard postural sway assessment method in laboratory conditions, but their lack of portability and requirement of high-level expertise limit their widespread usage. This study evaluates the reliability and validity of a novel Balance Mat (BM) device, a low-cost portable alternative that uses optical fibre technology. The research includes two …

Thermodynamics in a split Hilbert space: Quantum impurity at the edge of the Heisenberg chain
Abay Zhakenov, Pradip Kattel, Natan Andrei
https://arxiv.org/abs/2508.19334 https:/…

Thermodynamics in a split Hilbert space: Quantum impurity at the edge of the Heisenberg chain
We study the isotropic spin-$\frac{1}{2}$ Heisenberg chain with a single edge-coupled impurity of arbitrary exchange strength $J$. The model exhibits four impurity phases. For antiferromagnetic couplings ($J>0$): a \textit{Kondo phase} at weak $J$, where the impurity is screened by many-body excitations and the impurity entropy decreases monotonically from $\ln 2$ at $T \to \infty$ to $0$ at $T\to 0$; and an \textit{antiferromagnetic bound-mode (ABM) phase} at strong $J$, where the impurity scr…

VLT/MUSE Detection of the AB Aurigae b Protoplanet with $H _{\rm \alpha}$ Spectroscopy
Thayne Currie, Jun Hashimoto, Yuhiko Aoyama, Ruobing Dong, Misato Fukagawa, Takayuki Muto, Erica Dykes, Mona El Morsy, Motohide Tamura
https://arxiv.org/abs/2508.18351

VLT/MUSE Detection of the AB Aurigae b Protoplanet with $H _{\rm α}$ Spectroscopy
We analyze high-contrast, medium-spectral-resolution $H_{\rm α}$ observations of the star AB Aurigae using the Very Large Telescope's Multi Unit Spectroscopic Explorer (MUSE). In multiple epochs, MUSE detects the AB Aur b protoplanet discovered from Subaru/SCExAO data in emission at wavelengths slightly blue-shifted from the $H_{\rm α}$ line center (i.e. at 6558.88--6560.13 Å; $\sim$ -100 km s$^{-1}$) and in absorption at redshifted wavelengths (6562.8--6565.1 Å; $\sim$ 75 km s$^{-1}$). AB …

Building crypto portfolios with agentic AI
Antonino Castelli, Paolo Giudici, Alessandro Piergallini
https://arxiv.org/abs/2507.20468 https://arxiv.org/pdf/…

Building crypto portfolios with agentic AI
The rapid growth of crypto markets has opened new opportunities for investors, but at the same time exposed them to high volatility. To address the challenge of managing dynamic portfolios in such an environment, this paper presents a practical application of a multi-agent system designed to autonomously construct and evaluate crypto-asset allocations. Using data on daily frequencies of the ten most capitalized cryptocurrencies from 2020 to 2025, we compare two automated investment strategies. …

FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation
Shaswata Mitra, Azim Bazarov, Martin Duclos, Sudip Mittal, Aritran Piplai, Md Rayhanur Rahman, Edward Zieglar, Shahram Rahimi
https://arxiv.org/abs/2508.18684

FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation
Signature-based Intrusion Detection Systems (IDS) detect malicious activities by matching network or host activity against predefined rules. These rules are derived from extensive Cyber Threat Intelligence (CTI), which includes attack signatures and behavioral patterns obtained through automated tools and manual threat analysis, such as sandboxing. The CTI is then transformed into actionable rules for the IDS engine, enabling real-time detection and prevention. However, the constant evolution o…

from my link log —
Portable dynamically linked packages on Linux.
https://brioche.dev/blog/portable-dynamically-linked-packages-on-linux/
saved 2025-03-18

Dependency Network-Based Portfolio Design with Forecasting and VaR Constraints
Zihan Lin, Haojie Liu, Randall R. Rojas
https://arxiv.org/abs/2507.20039 https://

Dependency Network-Based Portfolio Design with Forecasting and VaR Constraints
This study proposes a novel portfolio optimization framework that integrates statistical social network analysis with time series forecasting and risk management. Using daily stock data from the S&P 500 (2020-2024), we construct dependency networks via Vector Autoregression (VAR) and Forecast Error Variance Decomposition (FEVD), transforming influence relationships into a cost-based network. Specifically, FEVD breaks down the VAR's forecast error variance to quantify how much each stock's shock…