Tootfinder

A Novel Attention-Augmented Wavelet YOLO System for Real-time Brain Vessel Segmentation on Transcranial Color-coded Doppler
Wenxuan Zhang (, Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China), Shuai Li (, Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China), Xinyi Wang (, Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China), Yu Sun (, Department of Bi…

A Novel Attention-Augmented Wavelet YOLO System for Real-time Brain Vessel Segmentation on Transcranial Color-coded Doppler
The Circle of Willis (CoW), vital for ensuring consistent blood flow to the brain, is closely linked to ischemic stroke. Accurate assessment of the CoW is important for identifying individuals at risk and guiding appropriate clinical management. Among existing imaging methods, Transcranial Color-coded Doppler (TCCD) offers unique advantages due to its radiation-free nature, affordability, and accessibility. However, reliable TCCD assessments depend heavily on operator expertise for identifying …

Any developer worth their salt knows that the outputting code is the easiest part of software development, and that code as an artifact has little value without everything that surrounds it: the people, the shared knowledge, the practices (both formal and informal), the infrastructure, the networks of trust, etc etc.
And yet!! like fools, we’ve got ourselves hung up on OSS licenses and copyright — the legal structures surrounding the code itself — as if code were in fact the only thing that really matters. As if we didn’t know better.
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The actions of the cheeto-king's government ministers are making me reconsider my opposition to the death penalty.
If - and to me it is a big "if" - the US can recover from our present era of facism - we will need something akin to what was called "De-Baathification" in Iraq, "Denazification" in post WW-II Germany, etc. Under those programs some people were executed after being found guilty at trials.
The ministers of our present government - pa…

Former Nazi camp guard, now 100, can face trial, German court rules
A former Nazi SS guard, accused of aiding and abetting over 3,300 murders at Sachsenhausen camp during World War II, could face trial.

Study: Watching Fox News Actually Makes You Stupid
https://www.rollingstone.com/politics/politics-news/study-watching-fox-news-actually-makes-you-stupid-235770/

Track Component Failure Detection Using Data Analytics over existing STDS Track Circuit data
Francisco L\'opez, Eduardo Di Santi, Cl\'ement Lefebvre, Nenad Mijatovic, Michele Pugnaloni, Victor Mart\'in, Kenza Saiah
https://arxiv.org/abs/2508.11693

Track Component Failure Detection Using Data Analytics over existing STDS Track Circuit data
Track Circuits (TC) are the main signalling devices used to detect the presence of a train on a rail track. It has been used since the 19th century and nowadays there are many types depending on the technology. As a general classification, Track Circuits can be divided into 2 main groups, DC (Direct Current) and AC (Alternating Current) circuits. This work is focused on a particular AC track circuit, called "Smart Train Detection System" (STDS), designed with both high and low-frequency bands. …

Mind the Gap: Data Rewriting for Stable Off-Policy Supervised Fine-Tuning
Shiwan Zhao, Xuyang Zhao, Jiaming Zhou, Aobo Kong, Qicheng Li, Yong Qin
https://arxiv.org/abs/2509.15157

Mind the Gap: Data Rewriting for Stable Off-Policy Supervised Fine-Tuning
Supervised fine-tuning (SFT) of large language models can be viewed as an off-policy learning problem, where expert demonstrations come from a fixed behavior policy while training aims to optimize a target policy. Importance sampling is the standard tool for correcting this distribution mismatch, but large policy gaps lead to high variance and training instability. Existing approaches mitigate this issue using KL penalties or clipping, which passively constrain updates rather than actively redu…

Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model
Xianglong He, Chunli Peng, Zexiang Liu, Boyang Wang, Yifan Zhang, Qi Cui, Fei Kang, Biao Jiang, Mengyin An, Yangyang Ren, Baixin Xu, Hao-Xiang Guo, Kaixiong Gong, Cyrus Wu, Wei Li, Xuchen Song, Yang Liu, Eric Li, Yahui Zhou
https://arxiv.org/abs/2508.13009

Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model
Recent advances in interactive video generations have demonstrated diffusion model's potential as world models by capturing complex physical dynamics and interactive behaviors. However, existing interactive world models depend on bidirectional attention and lengthy inference steps, severely limiting real-time performance. Consequently, they are hard to simulate real-world dynamics, where outcomes must update instantaneously based on historical context and current actions. To address this, we pr…

From Scores to Skills: A Cognitive Diagnosis Framework for Evaluating Financial Large Language Models
Ziyan Kuang, Feiyu Zhu, Maowei Jiang, Yanzhao Lai, Zelin Wang, Zhitong Wang, Meikang Qiu, Jiajia Huang, Min Peng, Qianqian Xie, Sophia Ananiadou
https://arxiv.org/abs/2508.13491

From Scores to Skills: A Cognitive Diagnosis Framework for Evaluating Financial Large Language Models
Large Language Models (LLMs) have shown promise for financial applications, yet their suitability for this high-stakes domain remains largely unproven due to inadequacies in existing benchmarks. Existing benchmarks solely rely on score-level evaluation, summarizing performance with a single score that obscures the nuanced understanding of what models truly know and their precise limitations. They also rely on datasets that cover only a narrow subset of financial concepts, while overlooking othe…