Tootfinder

Open access book: Shopping with Allah: Muslim pilgrimage, gender and consumption in a globalized world https://networks.h-net.org/group/announcements/20120494/open-access-book-shopping-allah-muslim-pilgrimage-gender-and

The US Environmental Protection Agency's retreat from science endangers the health of people and the planet https://phys.org/news/2025-07-environmental-agency-retreat-science-endangers.html

The US Environmental Protection Agency's retreat from science endangers the health of people and the planet
Pollution causes more illness and early death than any other environmental threat, accounting for one in six deaths worldwide. For decades, the US Environmental Protection Agency's (EPA) Office of Research and Development (ORD) has driven many of the biggest advances for safeguarding human health and ecosystems from chemicals. Now, this scientific research office is being closed down by the US government

On the Efficient Discovery of Maximum $k$-Defective Biclique
Donghang Cui, Ronghua Li, Qiangqiang Dai, Hongchao Qin, Guoren Wang
https://arxiv.org/abs/2506.16121

On the Efficient Discovery of Maximum $k$-Defective Biclique
The problem of identifying the maximum edge biclique in bipartite graphs has attracted considerable attention in bipartite graph analysis, with numerous real-world applications such as fraud detection, community detection, and online recommendation systems. However, real-world graphs may contain noise or incomplete information, leading to overly restrictive conditions when employing the biclique model. To mitigate this, we focus on a new relaxed subgraph model, called the $k$-defective biclique…

Open access book: Shopping with Allah: Muslim pilgrimage, gender and consumption in a globalized world
https://ift.tt/3KSDRHV
Digitisation, Orphan Works & Copyright: New Resource for the GLAM sector CREATe, the RCUK…
via Input 4 RELCFP

Wait do you need a subscription to play Mario Kart World online?

As the head of the Anti-Defamation League, Jonathan Greenblatt has done little to uphold his organization’s claims to fight antisemitism
as the “leading anti-hate organization in the world.”
Instead, he’s shored up the ADL’s role as little more than a fierce pro-Israel lobby group known for defending Israel by attacking its critics.
With no sense of irony, much of this effort manifests as defamatory speech
— at least in the everyday, if not the legal, sense
— by…

MIT Student Condemned Genocide — So ADL Chief Said She Helped Cause Boulder Attack
Jonathan Greenblatt accused commencement speakers of spreading antisemitic lies — and suggested they’re responsible for violent attacks.

TTSOps: A Closed-Loop Corpus Optimization Framework for Training Multi-Speaker TTS Models from Dark Data
Kentaro Seki, Shinnosuke Takamichi, Takaaki Saeki, Hiroshi Saruwatari
https://arxiv.org/abs/2506.15614

TTSOps: A Closed-Loop Corpus Optimization Framework for Training Multi-Speaker TTS Models from Dark Data
This paper presents TTSOps, a fully automated closed-loop framework for constructing multi-speaker text-to-speech (TTS) systems from noisy, uncurated web-scale speech data, often referred to as ``dark data,'' such as online videos. Conventional TTS training pipelines require well-curated corpora with high acoustic quality and accurate text-speech alignment, which severely limits scalability, speaker diversity, and real-world applicability. While recent studies have proposed acoustic-quality-bas…

"Rebuilding the library community in a post-Twitter world" by Ned Potter: https://www.ned-potter.com/blog/rebuilding-the-library-community-in-a-post-twitter-world
(unfortunately, due to "audience reasons" he pr…

A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments
Md Jahangir Alam Khondkar, Ajan Ahmed, Masudul Haider Imtiaz, Stephanie Schuckers
https://arxiv.org/abs/2506.15000

A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments
Speech enhancement, particularly denoising, is vital in improving the intelligibility and quality of speech signals for real-world applications, especially in noisy environments. While prior research has introduced various deep learning models for this purpose, many struggle to balance noise suppression, perceptual quality, and speaker-specific feature preservation, leaving a critical research gap in their comparative performance evaluation. This study benchmarks three state-of-the-art models W…