Tootfinder

Die Ausschreibung für PV-#Freiflächenanlagen zum 1. Juli 2025 war erneut überzeichnet.
Die #Bundesnetzagentur bezuschlagte 258 Gebote mit insgesamt 2.271 MW. Die #Zuschlagswerte

Using Large Language Models to Measure Symptom Severity in Patients At Risk for Schizophrenia
Andrew X. Chen, Guillermo Horga, Sean Escola
https://arxiv.org/abs/2508.10226 https…

Using Large Language Models to Measure Symptom Severity in Patients At Risk for Schizophrenia
Patients who are at clinical high risk (CHR) for schizophrenia need close monitoring of their symptoms to inform appropriate treatments. The Brief Psychiatric Rating Scale (BPRS) is a validated, commonly used research tool for measuring symptoms in patients with schizophrenia and other psychotic disorders; however, it is not commonly used in clinical practice as it requires a lengthy structured interview. Here, we utilize large language models (LLMs) to predict BPRS scores from clinical intervi…

Ever since Homo sapiens came out of Africa, migration has been part and parcel of humanity's history and culture. Immigration, however, is just a byproduct of arbitrary borders, which are a much more recent invention than is commonly realised. Passports and visa became mandatory for crossing borders only in the era of modern nationalism, around the time of WW I.

On Sunday, October 5, 2025, my wife and I are participating in the Canadian Cancer Society's Run for the Cure. This national fundraiser brings together communities across the country who will run or walk in support of all Canadians impacted by breast cancer. We are walking in honour of my mother, my two sisters, and both our daughters - all of whom have been touched by this terrible disease.
Our family isn't special as 1 in 8 women will face a breast cancer diagnosis in their lifetime, It is the most commonly diagnosed cancer among Canadian women, and all of us likely know someone who has battled it in the past, or is fighting it today. I encourage all Canadians to donate in honour of someone they know or simply to help their communities fight breast cancer. This cause is particularly important to us, especially this year, as we support our daughters, and I hope all Canadians get involved.
#CanadianCancerSociety #RunForTheCure
https://support.cancer.ca/site/TR/RunfortheCure/RFTC_NW_even_?px=15178695&pg=personal&fr_id=30455

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[4/8]:
- Boosting Adversarial Transferability via Commonality-Oriented Gradient Optimization
Yanting Gao, Yepeng Liu, Junming Liu, Qi Zhang, Hongyun Zhang, Duoqian Miao, Cairong Zhao

KAN-SR: A Kolmogorov-Arnold Network Guided Symbolic Regression Framework
Marco Andrea B\"uhler, Gonzalo Guill\'en-Gos\'albez
https://arxiv.org/abs/2509.10089 https:…

KAN-SR: A Kolmogorov-Arnold Network Guided Symbolic Regression Framework
We introduce a novel symbolic regression framework, namely KAN-SR, built on Kolmogorov Arnold Networks (KANs) which follows a divide-and-conquer approach. Symbolic regression searches for mathematical equations that best fit a given dataset and is commonly solved with genetic programming approaches. We show that by using deep learning techniques, more specific KANs, and combining them with simplification strategies such as translational symmetries and separabilities, we are able to recover grou…

On Syntactical Simplification of Temporal Operators in Negation-free MTL
Mathijs van Noort, Femke Ongenae, Pieter Bonte
https://arxiv.org/abs/2509.10146 https://

On Syntactical Simplification of Temporal Operators in Negation-free MTL
Temporal reasoning in dynamic, data-intensive environments increasingly demands expressive yet tractable logical frameworks. Traditional approaches often rely on negation to express absence or contradiction. In such contexts, Negation-as-Failure is commonly used to infer negative information from the lack of positive evidence. However, open and distributed systems such as IoT networks or the Semantic Web Negation-as-Failure semantics become unreliable due to incomplete and asynchronous data. Th…

Toxic Ink on Immutable Paper: Content Moderation for Ethereum Input Data Messages (IDMs)
Xihan Xiong, Zhipeng Wang, Qin Wang, William Knottenbelt
https://arxiv.org/abs/2510.10761

Toxic Ink on Immutable Paper: Content Moderation for Ethereum Input Data Messages (IDMs)
Decentralized communication is becoming an important use case within Web3. On Ethereum, users can repurpose the transaction input data field to embed natural-language messages, commonly known as Input Data Messages (IDMs). However, as IDMs gain wider adoption, there has been a growing volume of toxic content on-chain. This trend is concerning, as Ethereum provides no protocol-level support for content moderation. We propose two moderation frameworks for Ethereum IDMs: (i) BUILDERMOD, where bu…

#AgriPhotovoltaik genießt in der Bevölkerung deutlich höhere Zustimmung als klassische #Freiflächenanlagen.
Laut einer Studie der Uni Bonn empfinden viele die Kombination aus Landwirtschaft und

FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
Yunfeng Zhao, Yixin Liu, Shiyuan Li, Qingfeng Chen, Yu Zheng, Shirui Pan
https://arxiv.org/abs/2508.10594

FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
Graph Anomaly Detection (GAD) aims to identify nodes that deviate from the majority within a graph, playing a crucial role in applications such as social networks and e-commerce. Despite the current advancements in deep learning-based GAD, existing approaches often suffer from high deployment costs and poor scalability due to their complex and resource-intensive training processes. Surprisingly, our empirical findings suggest that the training phase of deep GAD methods, commonly perceived as cr…