Tootfinder

Pattern matching is a major feature in software development. While pattern matching applies in several locations, its current usage is limited to switch case blocks. I want to compare the power of pattern matching across a couple of programming languages I’m familiar with in this post.
https://blo…

from my link log —
RE#: high performance derivative-based regex matching with intersection, complement, and lookarounds.
https://arxiv.org/abs/2407.20479
saved 2025-04-17

RE#: High Performance Derivative-Based Regex Matching with Intersection, Complement and Lookarounds
We present a tool and theory RE# for regular expression matching that is built on symbolic derivatives, does not use backtracking, and, in addition to the classical operators, also supports complement, intersection and lookarounds. We develop the theory formally and show that the main matching algorithm has input-linear complexity both in theory as well as experimentally. We apply thorough evaluation on popular benchmarks that show that RE# is over 71% faster than the next fastest regex engine …

"Medicina mental e medicina orgânica no jovem Foucault: considerações em torno de René Leriche" agora nos Arquivos HAL
#filosofia

SpO2-Messung mit Apple Watches: Patentinhaber fordert neues US-Importverbot
Im Einvernehmen mit dem US-Zoll dürfen Apple Watches die Blutsauerstoffsättigung wieder erfassen. Das ist rechtswidrig, meint Medizingerätehersteller Masimo.

Source-Guided Flow Matching
Zifan Wang, Alice Harting, Matthieu Barreau, Michael M. Zavlanos, Karl H. Johansson
https://arxiv.org/abs/2508.14807 https://ar…

Source-Guided Flow Matching
Guidance of generative models is typically achieved by modifying the probability flow vector field through the addition of a guidance field. In this paper, we instead propose the Source-Guided Flow Matching (SGFM) framework, which modifies the source distribution directly while keeping the pre-trained vector field intact. This reduces the guidance problem to a well-defined problem of sampling from the source distribution. We theoretically show that SGFM recovers the desired target distribution …

ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine
Junying Chen, Zhenyang Cai, Zhiheng Liu, Yunjin Yang, Rongsheng Wang, Qingying Xiao, Xiangyi Feng, Zhan Su, Jing Guo, Xiang Wan, Guangjun Yu, Haizhou Li, Benyou Wang
https://arxiv.org/abs/2508.14706

ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine
Despite the success of large language models (LLMs) in various domains, their potential in Traditional Chinese Medicine (TCM) remains largely underexplored due to two critical barriers: (1) the scarcity of high-quality TCM data and (2) the inherently multimodal nature of TCM diagnostics, which involve looking, listening, smelling, and pulse-taking. These sensory-rich modalities are beyond the scope of conventional LLMs. To address these challenges, we present ShizhenGPT, the first multimodal LL…

Das Mädchen, das allein nach Haus' geht - @… - #ARD | #DasErste

Quand on oublie on n'apprend pas
Antisémitisme de Vichy : un conflit entre historiens porté au tribunal
https://www.lemonde.fr/idees/article/2025/07/17/antisemitisme-de-vichy-un-conflit-entre-histo…

Antisémitisme de Vichy : un conflit entre historiens porté au tribunal
Quatre-vingt-trois ans après la rafle du Vél’d’Hiv, des historiens insistant sur la dimension xénophobe plus qu’antisémite de l’Etat français s’estiment diffamés et ont intenté plusieurs actions en justice contre des universitaires et des journalistes.

Schemora: schema matching via multi-stage recommendation and metadata enrichment using off-the-shelf llms
Osman Erman Gungor, Derak Paulsen, William Kang
https://arxiv.org/abs/2507.14376

Schemora: schema matching via multi-stage recommendation and metadata enrichment using off-the-shelf llms
Schema matching is essential for integrating heterogeneous data sources and enhancing dataset discovery, yet it remains a complex and resource-intensive problem. We introduce SCHEMORA, a schema matching framework that combines large language models with hybrid retrieval techniques in a prompt-based approach, enabling efficient identification of candidate matches without relying on labeled training data or exhaustive pairwise comparisons. By enriching schema metadata and leveraging both vector-b…

Gibt es hier im Fediverse jemanden der mir erklären möchte, wie eine HLA-Typisierung mittels Lymphozytotoxischen Tests im Labor abläuft? #Knochenmark #Medizin