Tootfinder

Known as “white” asbestos,
chrysotile asbestos is banned in more than 50 countries
for its link to lung cancer and mesothelioma,
a cancer that forms in the lining of internal organs.
White asbestos, however, has been imported for use in the United States for roofing materials, textiles and cement as well as gaskets, clutches, brake pads and other automotive parts.
It is also used in chlorine manufacturing.
Last year the Environmental Protection Agency, u…

E.P.A. Plans to Reconsider a Ban on Cancer-Causing Asbestos
The Trump administration’s move sets back a decades-long effort to end the use of the material, which is widely banned in other countries.

Steuerstreit mit EU: Apple hat irischen Staat ausbezahlt
Die irische Regierung wollte das Geld nicht, doch die EU-Kommission setze sich durch. Investmentgewinne packen auf Apples Nachzahlung sogar noch etwas drauf.
…

Survey: US employees who use AI at work at least a few times per year rises from 21% in 2023 to 40% in 2025, and 19% report frequently using AI, up from 11% (Ryan Pendell/Gallup)
https://www.gallup.com/workplace/691643/work-nearly-doubled-two-years.aspx

AI Use at Work Has Nearly Doubled in Two Years
White-collar workers and leaders are the primary users. Leaders can further drive AI adoption by clearly communicating why and how to use it.

AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis
S M Rafiuddin, Sadia Kamal, Mohammed Rakib, Arunkumar Bagavathi, Atriya Sen
https://arxiv.org/abs/2507.12695

AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis
We introduce AdaptiSent, a new framework for Multimodal Aspect-Based Sentiment Analysis (MABSA) that uses adaptive cross-modal attention mechanisms to improve sentiment classification and aspect term extraction from both text and images. Our model integrates dynamic modality weighting and context-adaptive attention, enhancing the extraction of sentiment and aspect-related information by focusing on how textual cues and visual context interact. We tested our approach against several baselines, i…

Oh, well, then - let's stop regulating formaldehyde, too, and toss in thalidomide while we're at it...
EPA reconsidering ban on asbestos
https://thehill.com/newsletters/energy-environment/5356005-epa-reconsidering-ban-on-asbestos/

Kristi Noem is 'alert and recovering' after trip to hospital over allergic reaction, official says (Associated Press)
https://apnews.com/article/kristi-noem-homeland-security-immigration-border-hospital-acab815b1bc9db61b1c90a1f17abeecb
http://www.memeorandum.com/250617/p165#a250617p165

Meta macht ernst: #Werbung im #WhatsApp Status – allerdings (noch) nicht in Europa. Die DSGVO bremst den globalen Rollout. Nutzer in der EU können vorerst aufatmen, während anderswo schon Anzeigen zwischen Status-Updates flimmern. Jörg Schieb ordnet ein: Versprechen gebrochen, aber (noch) kein Werb…

https://www.insurancebusinessmag.com/uk/news/cyber/major-european-insurer-hit-by-cyberattack-539138.aspx
Yet another insurance company hit by ransomware.
Major European insurer hit by cyberattack

Major European insurer hit by cyberattack
FC Barcelona data among over 200GB of sensitive data stolen

Hey. (Yes, I'm talking to you.) 😁
I’m rucking 20K next weekend to help feed Austin kids this summer.
$1 per kilometer = $20 = 40 meals. You can help/sponsor/donate here:
https://gym.squatchfitness.com/widget/form/iJyMDikb6YBSqISXro4W
Thanks in…

A Computational Framework to Identify Self-Aspects in Text
Jaya Caporusso, Matthew Purver, Senja Pollak
https://arxiv.org/abs/2507.13115 https://

A Computational Framework to Identify Self-Aspects in Text
This Ph.D. proposal introduces a plan to develop a computational framework to identify Self-aspects in text. The Self is a multifaceted construct and it is reflected in language. While it is described across disciplines like cognitive science and phenomenology, it remains underexplored in natural language processing (NLP). Many of the aspects of the Self align with psychological and other well-researched phenomena (e.g., those related to mental health), highlighting the need for systematic NLP-…