Tootfinder

3DViT-GAT: A Unified Atlas-Based 3D Vision Transformer and Graph Learning Framework for Major Depressive Disorder Detection Using Structural MRI Data
Nojod M. Alotaibi, Areej M. Alhothali, Manar S. Ali
https://arxiv.org/abs/2509.12143

3DViT-GAT: A Unified Atlas-Based 3D Vision Transformer and Graph Learning Framework for Major Depressive Disorder Detection Using Structural MRI Data
Major depressive disorder (MDD) is a prevalent mental health condition that negatively impacts both individual well-being and global public health. Automated detection of MDD using structural magnetic resonance imaging (sMRI) and deep learning (DL) methods holds increasing promise for improving diagnostic accuracy and enabling early intervention. Most existing methods employ either voxel-level features or handcrafted regional representations built from predefined brain atlases, limiting their a…

Intrinsic and Extrinsic Organized Attention: Softmax Invariance and Network Sparsity
Oluwadamilola Fasina, Ruben V. C. Pohle, Pei-Chun Su, Ronald R. Coifman
https://arxiv.org/abs/2506.15541

Intrinsic and Extrinsic Organized Attention: Softmax Invariance and Network Sparsity
We examine the intrinsic (within the attention head) and extrinsic (amongst the attention heads) structure of the self-attention mechanism in transformers. Theoretical evidence for invariance of the self-attention mechanism to softmax activation is obtained by appealing to paradifferential calculus, (and is supported by computational examples), which relies on the intrinsic organization of the attention heads. Furthermore, we use an existing methodology for hierarchical organization of tensors …

Puffed-up Inner Rings and Razor-thin Outer Rings in Structured Protoplanetary Disks
Haochang Jiang, Feng Long, Enrique Mac\'ias, Myriam Benisty, Kiyoaki Doi, Cornelis P. Dullemond, Ryan A. Loomis, Ilaria Pascucci, Sebasti\'an P\'erez, Shangjia Zhang, Zhaohuan Zhu
https://arxiv.org/abs/2509.13122…

Puffed-up Inner Rings and Razor-thin Outer Rings in Structured Protoplanetary Disks
The vertical distribution of pebbles in protoplanetary disks is a fundamental property influencing planet formation, from dust aggregation to the assembly of planetary cores. In the outer region of protoplanetary disks, the intensity of the optically thin but geometrically thick dust ring decreases along the minor axis due to reduced line-of-sight optical depth. Multi-ring disks thus provide an excellent opportunity to study the radial variation of the vertical properties of dust. We investigat…

CosmicWatch: The Desktop Muon Detector(v3X)
Spencer Axani, Masooma Sarfraz, Miles Garcia, Collin Owens, Katarzyna Frankiewicz, Janet M. Conrad
https://arxiv.org/abs/2508.12111 h…

CosmicWatch: The Desktop Muon Detector(v3X)
The CosmicWatch Desktop Muon Detector (v3X) is a compact, low-cost, and portable device designed for detecting ionizing radiation, including cosmic-ray muons. Building on previous iterations, the v3X introduces significant hardware and firmware improvements that enhance sensitivity, usability, and data acquisition capabilities. The detector integrates a plastic scintillator and silicon photomultiplier (SiPM), custom designed electronics for signal processing, onboard data storage, OLED display,…

An Introduction to Dust Evolution and Vertical Transport in Protoplanetary Disks
Marion Villenave
https://arxiv.org/abs/2509.10614 https://arxiv.org/pdf/25…

An Introduction to Dust Evolution and Vertical Transport in Protoplanetary Disks
This tutorial is an introduction to observational studies of dust transport and evolution in protoplanetary disks. Spatially resolved observations of disks at multiple wavelengths can allow to infer the distribution of various dust grains and gas species. Combining these observations offers a more complete understanding of dust structure and properties across different disk locations. For example, by better characterizing the disk vertical structure, observations help to constrain the level of …

From Chaos to Automation: Enabling the Use of Unstructured Data for Robotic Process Automation
Kelly Kurowski, Xixi Lu, Hajo A. Reijers
https://arxiv.org/abs/2507.11364

From Chaos to Automation: Enabling the Use of Unstructured Data for Robotic Process Automation
The growing volume of unstructured data within organizations poses significant challenges for data analysis and process automation. Unstructured data, which lacks a predefined format, encompasses various forms such as emails, reports, and scans. It is estimated to constitute approximately 80% of enterprise data. Despite the valuable insights it can offer, extracting meaningful information from unstructured data is more complex compared to structured data. Robotic Process Automation (RPA) has ga…

Revisiting the maximum mass limit of strange stars in higher-order curvature-matter coupled gravity
Debadri Bhattacharjee, Pradip Kumar Chattopadhyay
https://arxiv.org/abs/2508.10524

Revisiting the maximum mass limit of strange stars in higher-order curvature-matter coupled gravity
We explore the maximum mass limit of strange stars within the framework of modified gravity described by $f(\tilde{R},T)=R+αR^{2}+2βT$, where $R$ is the Ricci scalar and $T$ denotes the trace of the energy-momentum tensor. The parameters $α$ and $β$ characterise the contributions from higher-order curvature terms and the coupling between matter and geometry, respectively. By deriving the Tolman-Oppenheimer-Volkoff equations from the modified field equations and applying the MIT bag model eq…

VADER: A Variational Autoencoder to Infer Planetary Masses and Gas-Dust Disk Properties Around Young Stars
Sayed Shafaat Mahmud, Sayantan Auddy, Neal Turner, Jeffrey S. Bary
https://arxiv.org/abs/2509.12324

VADER: A Variational Autoencoder to Infer Planetary Masses and Gas-Dust Disk Properties Around Young Stars
We present \textbf{VADER} (Variational Autoencoder for Disks Embedded with Rings), for inferring both planet mass and global disk properties from high-resolution ALMA dust continuum images of protoplanetary disks (PPDs). VADER, a probabilistic deep learning model, enables uncertainty-aware inference of planet masses, $α$-viscosity, dust-to-gas ratio, Stokes number, flaring index, and the number of planets directly from protoplanetary disk images. VADER is trained on over 100{,}000 synthetic im…

Chemical transformation of CO in evolving protoplanetary discs across stellar masses: a route to C-rich inner regions
Andrew D. Sellek, Ewine F. van Dishoeck
https://arxiv.org/abs/2507.11631

Chemical transformation of CO in evolving protoplanetary discs across stellar masses: a route to C-rich inner regions
Protoplanetary discs around Very Low Mass Stars (VLMS) show hydrocarbon-rich MIR spectra indicative of C/O>1 in their inner discs, in contrast to discs around higher-mass hosts which mostly show O-bearing species. One scenario proposed to elevate C/O in VLMS inner discs is the advection of O-depleted gas from the outer disc. However, if CO gas remains abundant, C/O can be at most ~1. We test if chemical transformation of CO into other species allows this transport scenario to produce C/O signif…

Hydrodynamical simulations of the vertical shear instability with dynamic dust and cooling rates in protoplanetary disks
Yuya Fukuhara, Mario Flock, Satoshi Okuzumi, Ryosuke T. Tominaga
https://arxiv.org/abs/2507.11156

Hydrodynamical simulations of the vertical shear instability with dynamic dust and cooling rates in protoplanetary disks
Turbulence in protoplanetary disks affects dust evolution and planetesimal formation. The vertical shear instability (VSI) is one of the candidate turbulence-driving mechanisms in the outer disk region. Since the VSI requires rapid gas cooling, dust grains in disks can influence and potentially control VSI-driven turbulence. However, VSI-driven turbulence has strong vertical motion, causing vertical dust diffusion. As a result, it remains unclear how turbulent structures and dust distributions …