Tootfinder

PAST: A multimodal single-cell foundation model for histopathology and spatial transcriptomics in cancer
Changchun Yang, Haoyang Li, Yushuai Wu, Yilan Zhang, Yifeng Jiao, Yu Zhang, Rihan Huang, Yuan Cheng, Yuan Qi, Xin Guo, Xin Gao
https://arxiv.org/abs/2507.06418

PAST: A multimodal single-cell foundation model for histopathology and spatial transcriptomics in cancer
While pathology foundation models have transformed cancer image analysis, they often lack integration with molecular data at single-cell resolution, limiting their utility for precision oncology. Here, we present PAST, a pan-cancer single-cell foundation model trained on 20 million paired histopathology images and single-cell transcriptomes spanning multiple tumor types and tissue contexts. By jointly encoding cellular morphology and gene expression, PAST learns unified cross-modal representati…

I love Hugo, particularly the idea that I can blitz my entire blog tree with an "rm -rf blog/*" and then restore it with a single line of commands.

Jet cone size dependence of single inclusive jet suppression due to jet quenching in Pb Pb collisions at $\sqrt{s_{\rm NN}}=5.02$ TeV
Qing-Fei Han, Man Xie, Han-Zhong Zhang
https://arxiv.org/abs/2509.07842

Jet cone size dependence of single inclusive jet suppression due to jet quenching in Pb+Pb collisions at $\sqrt{s_{\rm NN}}=5.02$ TeV
Jet suppression in high-energy heavy-ion collisions results from jet energy loss and transverse-momentum broadening during jet propagation through the quark-gluon plasma (QGP). The jet cone size ($R$) dependence of this suppression offers crucial insights into the energy loss mechanisms and QGP transport properties. In our study, we implement a comprehensive approach within the perturbative QCD parton model that incorporates both elastic and inelastic energy loss mechanisms. For elastic process…

Accelerating vRAN and O-RAN with SIMD: Architectural Perspectives and Performance Evaluation
Jaebum Park, Chan-Byoung Chae, Robert W. Heath Jr
https://arxiv.org/abs/2510.07843 h…

Accelerating vRAN and O-RAN with SIMD: Architectural Perspectives and Performance Evaluation
The evolution of radio access networks (RANs) toward virtualization and openness creates new opportunities for flexible, cost-effective, and high-performance deployments. Achieving real-time and energy-efficient baseband processing on commercial off-the-shelf platforms, however, remains a critical challenge. This article explores how single instruction multiple data (SIMD) architectures can accelerate RAN workloads. We first outline why key physical-layer functions, such as channel estimation, …

Here's the Great Reno Balloon Race "Dawn Patrol,"
-- @…
https://mastoart.social/@elaterite/115155249663848825

Bob Tregilus (@elaterite@mastoart.social)
Attached: 1 image And there's the Great Reno Balloon Race "Dawn Patrol," welp, patrolling the dawn this morning. (Single frame. Not AI slop.) 6/n #Balloon #HotAirBalloon #Night #NotAI #NightPhotography #Photography #Darktable

High-temperature growth of ultra thin NbTiN films on lithium niobate for integrated single photon detection
Sjoerd Telkamp, Odiel Hooybergs, Myriam Rihani, Giovanni Finco, Tummas Napoleon Arge, Robin N. D\"ur, Victor Mougel, Daniel Scheffler, Filip Krizek, Rachel Grange, Robert J. Chapman, Werner Wegscheider
https://arxiv.org/abs/2509…

High-temperature growth of ultra thin NbTiN films on lithium niobate for integrated single photon detection
Lithium niobate-on-insulator (LNOI) is an emerging photonic platform with high potential for scalable quantum information processing due to its strong second-order nonlinearity. However, little progress has been made in developing on-chip single-photon detectors on LNOI. Niobium titanium nitride (NbTiN) superconducting nanowire single-photon detectors (SNSPDs) are a promising candidate for this application. In this work, we use DC reactive magnetron sputtering to grow high-quality NbTiN thin fi…

Learning Generalized Hamiltonian Dynamics with Stability from Noisy Trajectory Data
Luke McLennan, Yi Wang, Ryan Farell, Minh Nguyen, Chandrajit Bajaj
https://arxiv.org/abs/2509.07280

Learning Generalized Hamiltonian Dynamics with Stability from Noisy Trajectory Data
We introduce a robust framework for learning various generalized Hamiltonian dynamics from noisy, sparse phase-space data and in an unsupervised manner based on variational Bayesian inference. Although conservative, dissipative, and port-Hamiltonian systems might share the same initial total energy of a closed system, it is challenging for a single Hamiltonian network model to capture the distinctive and varying motion dynamics and physics of a phase space, from sampled observational phase spac…

Single-ion anisotropy driven chiral magnetic order in a spin-1 antiferromagnetic chain
S. Vaidya, S. P. M. Curley, P. Manuel, J. Ross Stewart, M. Duc Le, A. Hern\'andez-Meli\'an, T. J. Hicken, C. Wang, H. Luetkens, J. Krieger, S. J. Blundell, T. Lancaster, K. A. Wheeler, D. Y. Villa, Z. E. Manson, J. A. Villa, J. L. Manson, J. Singleton, R. D. Johnson, P. A. Goddard

Single-ion anisotropy driven chiral magnetic order in a spin-1 antiferromagnetic chain
Chirality in magnetic systems gives rise to a wide range of exotic phenomena, yet its influence in $S=1$ chains remains largely unexplored. Here, we present a comprehensive experimental study of a chiral antiferromagnetic (AFM) $S=1$ chain, [Ni(pym)(H$_{2}$O)$_{4}$]SO$_{4} \cdot$ H$_{2}$O (pym = pyrimidine), where the Ni(II) octahedral orientation exhibits a four-fold chiral periodicity. Muon spin rotation measurements indicate the onset of long-range magnetic order below $T_{\rm N} = 1.82(2)\,…

Ghost Points Matter: Far-Range Vehicle Detection with a Single mmWave Radar in Tunnel
Chenming He, Rui Xia, Chengzhen Meng, Xiaoran Fan, Dequan Wang, Haojie Ren, Jianmin Ji, Yanyong Zhang
https://arxiv.org/abs/2509.06639

Ghost Points Matter: Far-Range Vehicle Detection with a Single mmWave Radar in Tunnel
Vehicle detection in tunnels is crucial for traffic monitoring and accident response, yet remains underexplored. In this paper, we develop mmTunnel, a millimeter-wave radar system that achieves far-range vehicle detection in tunnels. The main challenge here is coping with ghost points caused by multi-path reflections, which lead to severe localization errors and false alarms. Instead of merely removing ghost points, we propose correcting them to true vehicle positions by recovering their signal…

Revisiting Mixout: An Overlooked Path to Robust Finetuning
Masih Aminbeidokhti, Heitor Rapela Medeiros, Eric Granger, Marco Pedersoli
https://arxiv.org/abs/2510.06982 https://…

Revisiting Mixout: An Overlooked Path to Robust Finetuning
Finetuning vision foundation models often improves in-domain accuracy but comes at the cost of robustness under distribution shift. We revisit Mixout, a stochastic regularizer that intermittently replaces finetuned weights with their pretrained reference, through the lens of a single-run, weight-sharing implicit ensemble. This perspective reveals three key levers that govern robustness: the \emph{masking anchor}, \emph{resampling frequency}, and \emph{mask sparsity}. Guided by this analysis, we…