Tootfinder

I feel yucky so im eating sorbet
also my brain is fundamentally broken bc when I went to grab it out the freezer for a split second I thought that picture of a raspberry was the premier league logo.
my brain is a football and there is no saving me

(video) The sound of the Neuralink logo according to The vOICe visual-to-auditory sensory substitution, as a 1-second soundscape, here repeated 10 times https://www.artificialvision.com/neuralink.htm How will blind recipients of a Neuralink Blindsight brain implant perceive this logo?

How People Manage Knowledge in their "Second Brains"- A Case Study with Industry Researchers Using Obsidian
Juliana Jansen Ferreira, Vin\'icius Segura, Joana Gabriela Souza, Joao Henrique Gallas Brasil
https://arxiv.org/abs/2509.20187

How People Manage Knowledge in their "Second Brains"- A Case Study with Industry Researchers Using Obsidian
People face overwhelming information during work activities, necessitating effective organization and management strategies. Even in personal lives, individuals must keep, annotate, organize, and retrieve knowledge from daily routines. The collection of records for future reference is known as a personal knowledge base. Note-taking applications are valuable tools for building and maintaining these bases, often called a ''second brain''. This paper presents a case study on how people build and e…

Optimizing BCI Rehabilitation Protocols for Stroke: Exploring Task Design and Training Duration
Aniana Cruz, Marko Kuzmanoski, Gabriel Pires
https://arxiv.org/abs/2510.08082 htt…

Optimizing BCI Rehabilitation Protocols for Stroke: Exploring Task Design and Training Duration
Stroke is a leading cause of long-term disability and the second most common cause of death worldwide. Although acute treatments have advanced, recovery remains challenging and limited. Brain-computer interfaces (BCIs) have emerged as a promising tool for post-stroke rehabilitation by promoting neuroplasticity. However, clinical outcomes remain variable, and optimal protocols have yet to be established. This study explores strategies to optimize BCI-based rehabilitation by comparing motor image…

Measurement of the $^{35}Cl(n, p)^{35}S$ cross-section at the CERN n\_TOF facility from subthermal energy to 120 keV
Marco Antonio Mart\'inez-Ca\~nadas, Pablo Torres-S\'anchez, Javier Praena, Ignacio Porras, Marta Sabat\'e-Gilarte, Oliver Aberle, Victor Alcayne, Simone Amaducci, J\'ozef Andrzejewski, Laurent Audouin, Vicente B\'ecares, Victor Babiano-Suarez, Michael Bacak, Massimo Barbagallo, Franti\v{s}ek Be\v{c}v\'a\v{r}, Giorgio Bellia, Eric Berthoumieux, Jon…

Measurement of the $^{35}Cl(n, p)^{35}S$ cross-section at the CERN n\_TOF facility from subthermal energy to 120 keV
Background: The $^{35}Cl(n, p)^{35}S$ reaction is of special interest in three different applications. First, in Boron Neutron Capture Therapy due to the presence of $^{35}Cl$ in brain and skin tissue. Second, it is involved in the creation of $^{36}S$, whose astrophysical origin remains unresolved. Third, in the designing of fast nuclear reactors of new generation based on molten salts. Purpose: To measure the $^{35}Cl(n, p)^{35}S$ cross-section from thermal energy to 120 keV, determine the re…

SpellerSSL: Self-Supervised Learning with P300 Aggregation for Speller BCIs
Jiazhen Hong, Geoff Mackellar, Soheila Ghane
https://arxiv.org/abs/2509.19401 https://

SpellerSSL: Self-Supervised Learning with P300 Aggregation for Speller BCIs
Electroencephalogram (EEG)-based P300 speller brain-computer interfaces (BCIs) face three main challenges: low signal-to-noise ratio (SNR), poor generalization, and time-consuming calibration. We propose SpellerSSL, a framework that combines self-supervised learning (SSL) with P300 aggregation to address these issues. First, we introduce an aggregation strategy to enhance SNR. Second, to achieve generalization in training, we employ a customized 1D U-Net backbone and pretrain the model on both …