Tootfinder

Synth Kraze
- music made for the joy of it -
#SynthPop #NowPlaying
https://muz4now.com/2022/s…

Synth Kraze #SynthPop #NowPlaying
Stan Stewart - @muz4now

M’enfin! Non, ce n’est pas l’IA qui ment et manipule… Mais apparemment ça joue.
https://www.rts.ch/info/sciences-tech/2025/article/l-ia-devient-menteuse-les-scientifiques-s-inquietent-des-no…

netscience: Scientific collaborations in network science (2006)
A coauthorship network among scientists working on network science, from 2006. This network is a one-mode projection from the bipartite graph of authors and their scientific publications.
This network has 1589 nodes and 2742 edges.
Tags: Social, Collaboration, Weighted, Projection

#RollingThunder in #SantaBarbara #California

SciMantify -- A Hybrid Approach for the Evolving Semantification of Scientific Knowledge
Lena John, Kheir Eddine Farfar, S\"oren Auer, Oliver Karras
https://arxiv.org/abs/2506.21819

SciMantify -- A Hybrid Approach for the Evolving Semantification of Scientific Knowledge
Scientific publications, primarily digitized as PDFs, remain static and unstructured, limiting the accessibility and reusability of the contained knowledge. At best, scientific knowledge from publications is provided in tabular formats, which lack semantic context. A more flexible, structured, and semantic representation is needed to make scientific knowledge understandable and processable by both humans and machines. We propose an evolution model of knowledge representation, inspired by the 5-…

The National Research Platform: Stretched, Multi-Tenant, Scientific Kubernetes Cluster
Derek Weitzel, Ashton Graves, Sam Albin, Huijun Zhu, Frank W\"urthwein, Mahidhar Tatineni, Dmitry Mishin, John Graham, Elham E Khoda, Mohammad Firas Sada, Larry Smarr, Thomas DeFanti
https://arxiv.org/abs/2505.22864

The National Research Platform: Stretched, Multi-Tenant, Scientific Kubernetes Cluster
The National Research Platform (NRP) represents a distributed, multi-tenant Kubernetes-based cyberinfrastructure designed to facilitate collaborative scientific computing. Spanning over 75 locations in the U.S. and internationally, the NRP uniquely integrates varied computational resources, ranging from single nodes to extensive GPU and CPU clusters, to support diverse research workloads including advanced AI and machine learning tasks. It emphasizes flexibility through user-friendly interfaces…

netscience: Scientific collaborations in network science (2006)
A coauthorship network among scientists working on network science, from 2006. This network is a one-mode projection from the bipartite graph of authors and their scientific publications.
This network has 1589 nodes and 2742 edges.
Tags: Social, Collaboration, Weighted, Projection

Literature-Grounded Novelty Assessment of Scientific Ideas
Simra Shahid, Marissa Radensky, Raymond Fok, Pao Siangliulue, Daniel S. Weld, Tom Hope
https://arxiv.org/abs/2506.22026 …

Literature-Grounded Novelty Assessment of Scientific Ideas
Automated scientific idea generation systems have made remarkable progress, yet the automatic evaluation of idea novelty remains a critical and underexplored challenge. Manual evaluation of novelty through literature review is labor-intensive, prone to error due to subjectivity, and impractical at scale. To address these issues, we propose the Idea Novelty Checker, an LLM-based retrieval-augmented generation (RAG) framework that leverages a two-stage retrieve-then-rerank approach. The Idea Nove…

"Le Monde – Plus de 1 500 scientifiques appellent l’Europe Š combler le déficit de financement en faveur de la biodiversité"
https://www.lemonde.fr/planete/article/202

Plus de 1 500 scientifiques appellent l’Europe à combler le déficit de financement en faveur de la biodiversité
Alors que les négociations sur le budget de l’Union pour la période 2028-2034 doivent débuter, des chercheurs s’inquiètent de voir la protection de l’environnement reléguée au second rang des priorités.

Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking
Pascal J. Sager, Ashwini Kamaraj, Benjamin F. Grewe, Thilo Stadelmann
https://arxiv.org/abs/2505.23250

Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking
We present the methodology and results of the Deep Retrieval team for subtask 4b of the CLEF CheckThat! 2025 competition, which focuses on retrieving relevant scientific literature for given social media posts. To address this task, we propose a hybrid retrieval pipeline that combines lexical precision, semantic generalization, and deep contextual re-ranking, enabling robust retrieval that bridges the informal-to-formal language gap. Specifically, we combine BM25-based keyword matching with a F…