Tootfinder

"The Bible cites two valid reasons: Adultery, or an unbelieving spouse leaving the marriage. (Her statement seems to indicate the former.)"
'Biblical grounds': Wife of MAGA AG Ken Paxton shocks with divorce announcement - Raw Story
https://www.rawstory.com/ken-paxton-eye/?utm_source=Iterable&utm_medium=email&utm_campaign=Jul.10.2025_8.04pm

A November 2024 report from the U.S. Fish and Wildlife Service (FWS) reflects staggering numbers:
There are an estimated 96 million #birders in the United States
—more than a third of U.S. adults
—who together spent more than $107 billion in 2022.
In total, that’s more money than the 2022 gross domestic product of New Hampshire (and 10 other U.S. states).

Florida sues some of the biggest porn platforms, accusing them of not complying with the state's age verification law (Samantha Cole/404 Media)
https://www.404media.co/florida-sues-huge-porn-sites-including-xvideos-and-bang-…

Florida Sues Huge Porn Sites Including XVideos and Bang Bros Over Age Verification Law
The lawsuit alleges XVideos, Bang Bros, XNXX, Girls Gone Wild and TrafficFactory are in violation of Florida's law that requires adult platforms to verify visitors are over 18.

The Fordham University
Tri-State Tick Risk Index for the week of June 27, is at the highest it can be:
a 10 out of 10.
What’s listed next to that score is the following:
"If you’re thinking of taking a hike, consider going to a movie instead."
h…

Fordham Tri-State Tick Risk
The Fordham Tick Index is an estimate of the risk of being bitten by a nymphal or adult deer tick.

Meta said it supports proposals for an EU-wide age of digital adulthood, below which minors would need parental consent to use social media (Brian O'Donovan/RTÉ)
https://www.rte.ie/news/2025/0704/1521746-meta-eu/

Meta backs EU digital majority age
Meta, the parent company of Facebook, Instagram and WhatsApp, has said it supports proposals for a common digital majority age across EU member states.

Distinct Modes of Functional Neural Organization in Autism: Insights from Dynamical Systems Analysis of Resting-State EEG
Sungwoo Ahn, Leonid L Rubchinsky, Evie A Malaia
https://arxiv.org/abs/2506.23013

Distinct Modes of Functional Neural Organization in Autism: Insights from Dynamical Systems Analysis of Resting-State EEG
While differences in patterns of functional connectivity and neural synchronization have been reported between individuals on the autism spectrum and neurotypical peers at various age stages, these differences appear to be subtle and may not be captured by typical quantitative measures of EEG. We used the dynamical systems approach to analyze resting-state EEG to investigate fine-grained spatiotemporal organization of brain networks in autistic and neurotypical young adults. While power spectra…

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit
Adrian Celaya, Tucker Netherton, Dawid Schellingerhout, Caroline Chung, Beatrice Riviere, David Fuentes
https://arxiv.org/abs/2507.19626

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit
Medical image segmentation continues to advance rapidly, yet rigorous comparison between methods remains challenging due to a lack of standardized and customizable tooling. In this work, we present the current state of the Medical Imaging Segmentation Toolkit (MIST), with a particular focus on its flexible and modular postprocessing framework designed for the BraTS 2025 pre- and post-treatment glioma segmentation challenge. Since its debut in the 2024 BraTS adult glioma post-treatment segmentat…

Emotion Detection in Older Adults Using Physiological Signals from Wearable Sensors
Md. Saif Hassan Onim, Andrew M. Kiselica, Himanshu Thapliyal
https://arxiv.org/abs/2507.08167

Emotion Detection in Older Adults Using Physiological Signals from Wearable Sensors
Emotion detection in older adults is crucial for understanding their cognitive and emotional well-being, especially in hospital and assisted living environments. In this work, we investigate an edge-based, non-obtrusive approach to emotion identification that uses only physiological signals obtained via wearable sensors. Our dataset includes data from 40 older individuals. Emotional states were obtained using physiological signals from the Empatica E4 and Shimmer3 GSR+ wristband and facial expr…

Zero-Shot KWS for Children's Speech using Layer-Wise Features from SSL Models
Subham Kutum, Abhijit Sinha, Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Mahesh Chandra Govil
https://arxiv.org/abs/2508.21248

Zero-Shot KWS for Children's Speech using Layer-Wise Features from SSL Models
Numerous methods have been proposed to enhance Keyword Spotting (KWS) in adult speech, but children's speech presents unique challenges for KWS systems due to its distinct acoustic and linguistic characteristics. This paper introduces a zero-shot KWS approach that leverages state-of-the-art self-supervised learning (SSL) models, including Wav2Vec2, HuBERT and Data2Vec. Features are extracted layer-wise from these SSL models and used to train a Kaldi-based DNN KWS system. The WSJCAM0 adult speec…

Social homophily predicts evacuation destination choice and long-term displacement decisions after the Marshall Fire
Vaidehi Raipat, Takahiro Yabe
https://arxiv.org/abs/2507.18270

Social homophily predicts evacuation destination choice and long-term displacement decisions after the Marshall Fire
Rapid urbanization and climate change have contributed to a significant rise in the frequency and intensity of disasters, which have resulted in three million adults being displaced from their homes in the United States during the past year. Using large-scale mobility data, it is now possible to observe and analyze post-disaster mobility dynamics across a longer time period, compared to household surveys which are often limited in scale. However, much of the mobility data-driven research on eva…