Tootfinder

Extract tables from pdfs with {tabulapdf} #rstats #datasciece

Tropical bird numbers plummet due to more days of extreme heat, study finds https://news.mongabay.com/short-article/2025/09/tropical-bird-numbers-plummet-due-to-more-days-of-extreme-heat-study-finds/

Tropical bird numbers plummet due to more days of extreme heat, study finds
Tropical bird populations are crashing as temperatures soar. That’s according to a new study that found abundances of tropical birds were 25-38% lower than they would be without human-driven climate change and the rising temperatures it has caused. This temperature impact on birds is greater than declines attributed to deforestation. “It’s a staggering decrease. Birds […]

Uiteindelijk gaat het om talent en niet om geld, daarom zijn de bezuinigingen van dit kabinet op onderwijs zo slecht voor ons land en onze economie.
https://esb.nu/extra-financiering-voor-start-en-scale-ups-is-niet-nodig-in-nederland/

Extra financiering voor start- en scale-ups is niet nodig in Nederland - ESB
Het kabinet-Schoof werkt momenteel aan de oprichting van een nationale investeringsbank. Deze bank moet iets doen aan het gebrek aan financiering voor start-ups en scale-ups. Maar is er eigenlijk wel te weinig financiering?

Vision Extra By Vision Australia Radio
Great Australian Pods Podcast Directory: #GreatAusPods

Large Language Model-Based Uncertainty-Adjusted Label Extraction for Artificial Intelligence Model Development in Upper Extremity Radiography
Hanna Kreutzer, Anne-Sophie Caselitz, Thomas Dratsch, Daniel Pinto dos Santos, Christiane Kuhl, Daniel Truhn, Sven Nebelung
https://arxiv.org/abs/2510.05664 …

Large Language Model-Based Uncertainty-Adjusted Label Extraction for Artificial Intelligence Model Development in Upper Extremity Radiography
Objectives: To evaluate GPT-4o's ability to extract diagnostic labels (with uncertainty) from free-text radiology reports and to test how these labels affect multi-label image classification of musculoskeletal radiographs. Methods: This retrospective study included radiography series of the clavicle (n=1,170), elbow (n=3,755), and thumb (n=1,978). After anonymization, GPT-4o filled out structured templates by indicating imaging findings as present ("true"), absent ("false"), or "uncertain." To …

Things are moving fast in cyber world, so don't miss today's Metacurity for the most critical developments you should know, including
--ShinyHunters is extorting Red Hat, LAPSUS$ teen in UK custody may be connected,
--Jaguar Land Rover to resume production at some sites,
--Apple faces French probe over Siri recordings,
--SEC probes AppLovin's data collection practices,
--Google's CodeMender is a security Swiss army knife,
--Prankster tells W…

ShinyHunters is extorting Red Hat, LAPSUS$ teen in UK custody may be connected
Jaguar Land Rover to resume production at some sites, Apple faces French probe over Siri recordings, SEC probes AppLovin's data collection practices, Google's CodeMender is a security Swiss army knife, Prankster tells WSU students their degrees no longer count, much more

Antonio Brown will go to Miami to face charges https://www.espn.com/nfl/story/_/id/46883311/antonio-brown-waives-extradition-return-miami

A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
Cheng Peng, Xinyu Dong, Mengxian Lyu, Daniel Paredes, Yaoyun Zhang, Yonghui Wu
https://arxiv.org/abs/2509.04753

A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
Natural language processing (NLP) is a key technology to extract important patient information from clinical narratives to support healthcare applications. The rapid development of large language models (LLMs) has revolutionized many NLP tasks in the clinical domain, yet their optimal use in patient information extraction tasks requires further exploration. This study examines LLMs' effectiveness in patient information extraction, focusing on LLM architectures, fine-tuning strategies, and multi…

The problem with greed
Our economic system benefits only those at the very top – but it’s not too late for change
TIM WU
THE GLOBE AND MAIL
https://www.theglobeandmail.com/opinion/article-extraction-economy-wealth-inequality-solu…

Can we go back to the optimism of the 1990s, before the extraction economy took over?
Our economic system benefits only those at the very top – but it’s not too late for change

ODKE : Ontology-Guided Open-Domain Knowledge Extraction with LLMs
Samira Khorshidi, Azadeh Nikfarjam, Suprita Shankar, Yisi Sang, Yash Govind, Hyun Jang, Ali Kasgari, Alexis McClimans, Mohamed Soliman, Vishnu Konda, Ahmed Fakhry, Xiaoguang Qi
https://arxiv.org/abs/2509.04696

ODKE+: Ontology-Guided Open-Domain Knowledge Extraction with LLMs
Knowledge graphs (KGs) are foundational to many AI applications, but maintaining their freshness and completeness remains costly. We present ODKE+, a production-grade system that automatically extracts and ingests millions of open-domain facts from web sources with high precision. ODKE+ combines modular components into a scalable pipeline: (1) the Extraction Initiator detects missing or stale facts, (2) the Evidence Retriever collects supporting documents, (3) hybrid Knowledge Extractors apply …