Tootfinder

Zähne gezogen: Wirtschaftsministerium schafft Lieferkettengesetz faktisch ab
Das Wirtschaftsressort hat das zuständige Bundesamt angewiesen, bei der Anwendung des Lieferkettengesetzes zurückhaltend und unternehmensfreundlich zu agieren.

Das #Rezept des Tages:
Leberkäse trifft auf bunte Gemüsepfanne! 🍛🥒 Diese schnelle und einfache Mahlzeit kombiniert den herzhaften Geschmack von #Leberkäse mit dem frischen Aroma von #Buttergemüse

Gemüsepfanne mit Leberkäse
Dieses Rezept mit Leberkäse habe ich - glaube ich - mal aus Bayern mitgebracht. Aber der Reis passt irgendwie nicht ins Bild. So richtig kann ich mich leider nicht mehr erinnern, welche meiner Urlaubsbekanntschaften...

»Crate Layout Best Practices: lib.rs, mod.rs, and src/bin«
Slowly, slowly, I'm learning what Rust uses for what in its coding.
🦀 https://dev.to/sgchris/crate-layout-best-practices-librs-modrs-and-srcbin-4abd

Crate Layout Best Practices: lib.rs, mod.rs, and src/bin
Crate Layout Best Practices: lib.rs, mod.rs, and src/bin Rust has rapidly become one of...

GO
C'est une abbération d'avoir des clubs de pêches américains qui possèdent une rivière (!) au Québec
https://www.lapresse.ca/actualites/regional/la-pre…

Leveraging LLMs for Automated Translation of Legacy Code: A Case Study on PL/SQL to Java Transformation
Lola Solovyeva, Eduardo Carneiro Oliveira, Shiyu Fan, Alper Tuncay, Shamil Gareev, Andrea Capiluppi
https://arxiv.org/abs/2508.19663

Leveraging LLMs for Automated Translation of Legacy Code: A Case Study on PL/SQL to Java Transformation
The VT legacy system, comprising approximately 2.5 million lines of PL/SQL code, lacks consistent documentation and automated tests, posing significant challenges for refactoring and modernisation. This study investigates the feasibility of leveraging large language models (LLMs) to assist in translating PL/SQL code into Java for the modernised "VTF3" system. By leveraging a dataset comprising 10 PL/SQL-to-Java code pairs and 15 Java classes, which collectively established a domain model for th…

GReAT: leveraging geometric artery data to improve wall shear stress assessment
Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink
https://arxiv.org/abs/2508.19030

GReAT: leveraging geometric artery data to improve wall shear stress assessment
Leveraging big data for patient care is promising in many medical fields such as cardiovascular health. For example, hemodynamic biomarkers like wall shear stress could be assessed from patient-specific medical images via machine learning algorithms, bypassing the need for time-intensive computational fluid simulation. However, it is extremely challenging to amass large-enough datasets to effectively train such models. We could address this data scarcity by means of self-supervised pre-training…

KI und Wettbewerb: Kommission soll Wirtschaftsministerium beraten
15 Wissenschaftler und Unternehmer sollen der Bundesregierung beim Künstliche-Intelligenz-Leapfrogging helfen.
https://www.

Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
Tian Lan, Hao Duong Le, Jinbo Li, Wenjun He, Meng Wang, Chenghao Liu, Chen Zhang
https://arxiv.org/abs/2509.21190

Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
Time series anomaly detection (TSAD) is a critical task, but developing models that generalize to unseen data in a zero-shot manner remains a major challenge. Prevailing foundation models for TSAD predominantly rely on reconstruction-based objectives, which suffer from a fundamental objective mismatch: they struggle to identify subtle anomalies while often misinterpreting complex normal patterns, leading to high rates of false negatives and positives. To overcome these limitations, we introduce…

Einhörner unter Notebooks: Fujitsu-Modelle mit Wechselakku & Blu-ray-Laufwerk
Fujitsu zeigt in Japan, dass auch leichte Notebooks einen einfach wechselbaren Akku haben können. Ein 16-Zöller kommt zudem mit optischem Laufwerk.

MicroDetect-Net (MDN): Leveraging Deep Learning to Detect Microplastics in Clam Blood, a Step Towards Human Blood Analysis
Riju Marwah, Riya Arora, Navneet Yadav, Himank Arora
https://arxiv.org/abs/2508.19021

MicroDetect-Net (MDN): Leveraging Deep Learning to Detect Microplastics in Clam Blood, a Step Towards Human Blood Analysis
With the prevalence of plastics exceeding 368 million tons yearly, microplastic pollution has grown to an extent where air, water, soil, and living organisms have all tested positive for microplastic presence. These particles, which are smaller than 5 millimeters in size, are no less harmful to humans than to the environment. Toxicity research on microplastics has shown that exposure may cause liver infection, intestinal injuries, and gut flora imbalance, leading to numerous potential health ha…