Tootfinder

"The extraordinary geochemistry of rare #mineral deposits exposed to ultraviolet light demonstrates an unparalleled earth science. What makes the ores of this small mining district completely unique on Earth?
LEARN MORE ABOUT NEW JERSEY'S MINING HERITAGE #geology

It is not clear whether the National Capital Planning Commission was consulted or received any meaningful insight prior to the White House’s demolition,
particularly as it has been closed since the government shut down 23 days ago.
“The decisions were made in complete secrecy and undertaken without public disclosure or proper consultation,” 
the ranking members on the House Oversight and Natural Resources committees and the subcommittee on energy on mineral resources wrote T…

Karoline Leavitt Says Trump Can Destroy Entire White House if He Wants
Leavitt dodged a key question on the limits to Donald Trump’s abilities to renovate.

LORT: Locally Refined Convolution and Taylor Transformer for Monaural Speech Enhancement
Junyu Wang, Zizhen Lin, Tianrui Wang, Meng Ge, Longbiao Wang, Jianwu Dang
https://arxiv.org/abs/2509.23832

LORT: Locally Refined Convolution and Taylor Transformer for Monaural Speech Enhancement
Achieving superior enhancement performance while maintaining a low parameter count and computational complexity remains a challenge in the field of speech enhancement. In this paper, we introduce LORT, a novel architecture that integrates spatial-channel enhanced Taylor Transformer and locally refined convolution for efficient and robust speech enhancement. We propose a Taylor multi-head self-attention (T-MSA) module enhanced with spatial-channel enhancement attention (SCEA), designed to facili…

My son is in Ontario on Remembrance Day (our name for Armistice Day in Canada) for the first time and he was shocked it wasn’t a public holiday like it is in B.C.
He was disappointed to be in Ottawa, just a few minutes away from the National War Memorial by metro, but couldn’t attend because he has classes today.
I agree with him. It is very strange that this day, of all days, is not a national day.
So instead he rushed through his class so he could at least get to the small ceremony held on campus.
How sad that there is so little time and space made for it in our largest and most populous province.
Even in our nation’s capital.
#ontario #canada #remembranceDay #armisticeday #nov11 #lestweforget #canpoli #onpoli

Selective nonthermal melting in phlogopite under ultrafast energy deposition
Nikita Medvedev
https://arxiv.org/abs/2509.23211 https://arxiv.org/pdf/2509.23…

Selective nonthermal melting in phlogopite under ultrafast energy deposition
Phlogopite is a complex magnesium-rich mineral from the dark mica group, KMg$_3$(AlSi$_3$O$_{10}$)(OH)$_2$. Its response to ultrafast excitation of its electronic system is studied using a hybrid model that combines tight-binding molecular dynamics with transport Monte Carlo and the Boltzmann equation. Simulations predict that at the deposited dose of ~0.17 eV/atom (electronic temperature $T_e$~11,000 K), the first hydrogens start to migrate in the otherwise preserved lattice, transiently turni…

Rec-RIR: Monaural Blind Room Impulse Response Identification via DNN-based Reverberant Speech Reconstruction in STFT Domain
Pengyu Wang, Xiaofei Li
https://arxiv.org/abs/2509.15628

Rec-RIR: Monaural Blind Room Impulse Response Identification via DNN-based Reverberant Speech Reconstruction in STFT Domain
Room impulse response (RIR) characterizes the complete propagation process of sound in an enclosed space. This paper presents Rec-RIR for monaural blind RIR identification. Rec-RIR is developed based on the convolutive transfer function (CTF) approximation, which models reverberation effect within narrow-band filter banks in the short-time Fourier transform (STFT) domain. Specifically, we propose a deep neural network (DNN) with cross-band and narrow-band blocks to estimate the CTF filter. The …

Neural Forward Filtering for Speaker-Image Separation
Jingqi Sun, Shulin He, Ruizhe Pang, Zhong-Qiu Wang
https://arxiv.org/abs/2510.05757 https://arxiv.org…

Neural Forward Filtering for Speaker-Image Separation
We address monaural multi-speaker-image separation in reverberant conditions, aiming at separating mixed speakers but preserving the reverberation of each speaker. A straightforward approach for this task is to directly train end-to-end DNN systems to predict the reverberant speech of each speaker based on the input mixture. Although effective, this approach does not explicitly exploit the physical constraint that reverberant speech can be reproduced by convolving the direct-path signal with a …