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@arXiv_physicsmedph_bot@mastoxiv.page
2026-06-23 10:25:14

Crosslisted article(s) found for physics.med-ph. arxiv.org/list/physics.med-ph/
[1/1]:
- A few remarks on hyperstatistics and some applications
Lucas Squillante, Samuel M. Soares, Guilherme Lepski, Mariano de Souza
arxiv.org/abs/2606.20735 mastoxiv.page/@arXiv_condmatst
- Anatomically Consistent TMJ Disc Segmentation via Semantic Anchoring and Clinical Priors
Dayun Ju, Chanyoung Kim, Sunyoung Jung, Hyo-Jung Jung, Chena Lee, Younjung Park, Seong Jae Hwang
arxiv.org/abs/2606.21177 mastoxiv.page/@arXiv_eessIV_bo
- Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction
Il{\i}cak, Imre, Najac, van den Broek, Lena, Webb, Staring
arxiv.org/abs/2606.21602 mastoxiv.page/@arXiv_eessIV_bo
- A unified perspective on wavelength selection for molecular composition inference from diffuse sp...
Scibilia, Rosier, Giannoni, Ricci, Lange, Pavone, Tachtsidis, Rueckert, Ezhov
arxiv.org/abs/2606.23223 mastoxiv.page/@arXiv_physicsop
toXiv_bot_toot

@davej@dice.camp
2026-05-22 15:12:39
Content warning: CW: auspol, green energy.

Sigh. This is just “rich people will flee the country if taxpayers stop subsidising them,” but for infrastructure investment. If it’s profitable then they’ll invest—they’ll simply find new loopholes to offset their obligations, and fabricate whole new axes of victimhood to whinge about.
#auspol #renewables

@arXiv_physicsaoph_bot@mastoxiv.page
2026-05-22 08:51:04

Crosslisted article(s) found for physics.ao-ph. arxiv.org/list/physics.ao-ph/n
[1/1]:
- Tracking water vapor homogeneous nucleation and droplet growth with spectroscopy and holography i...
Sagan, Pokrifka, Koblensky, Erinin, Ahmed, Jeevanjee, Deike, Weichman
arxiv.org/abs/2605.21509 mastoxiv.page/@arXiv_physicsfl
- Microwave-Stimulated Serpentinization of Olivine for Geological Hydrogen Production
Ansan Pokharel, Terence Musho
arxiv.org/abs/2605.21790 mastoxiv.page/@arXiv_condmatmt
- Decomposing Ensemble Spread in Lorenz '96 With Learned Stochastic Parameterizations
Birgit K\"uhbacher, Daan Crommelin, Niki Kilbertus
arxiv.org/abs/2605.22242
- Variation of Venusian Gravity Wave Absolute Momentum Fluxes and Drag as Retrieved from the Akatsu...
Erdal Yi\u{g}it, Emilia Sloan
arxiv.org/abs/2605.22793 mastoxiv.page/@arXiv_astrophEP
toXiv_bot_toot

@arXiv_csLG_bot@mastoxiv.page
2026-06-22 07:41:54

[2026-06-22 Mon (UTC), no new articles found for cs.LG Machine Learning]
toXiv_bot_toot

@arXiv_mathKT_bot@mastoxiv.page
2026-06-23 10:47:10

Replaced article(s) found for math.KT. arxiv.org/list/math.KT/new
[1/1]:
- On higher Du Bois singularities and $K$-regularity
Wanchun Shen
arxiv.org/abs/2504.12402 mastoxiv.page/@arXiv_mathAG_bo
- Higher Koszul duality and $n$-affineness
James Pascaleff, Emanuele Pavia, Nicol\`o Sibilla
arxiv.org/abs/2504.16935 mastoxiv.page/@arXiv_mathAG_bo
- Growth in noncommutative algebras and entropy in derived categories
Dmitri Piontkovski
arxiv.org/abs/2604.13373 mastoxiv.page/@arXiv_mathRA_bo
toXiv_bot_toot

@arXiv_astrophGA_bot@mastoxiv.page
2026-07-22 08:52:17

Replaced article(s) found for astro-ph.GA. arxiv.org/list/astro-ph.GA/new
[1/2]:
- GA-NIFS: Powerful and frequent outflows in moderate-luminosity active galactic nuclei at $z\sim3-6$
Giacomo Venturi, et al.
arxiv.org/abs/2512.09996 mastoxiv.page/@arXiv_astrophGA
- ALMA High-J CO Spectroscopy of High-Redshift Galaxies. II. 0.03" Resolution CO Kinematics Reveal ...
Ken-ichi Tadaki
arxiv.org/abs/2603.01352 mastoxiv.page/@arXiv_astrophGA
- Very long-term relaxation of harmonic 1D self-gravitating systems
Kerwann Tep, Jean-Baptiste Fouvry, Christophe Pichon
arxiv.org/abs/2603.11238 mastoxiv.page/@arXiv_astrophGA
- The tidal evolution of satellite galaxies in cosmological simulations: insights from COLIBRE
Feihong He, et al.
arxiv.org/abs/2604.03105 mastoxiv.page/@arXiv_astrophGA
- Deriving volume density profiles of filaments from observed surface densities
Alexander Men'shchikov, Guo-Yin Zhang
arxiv.org/abs/2604.12570 mastoxiv.page/@arXiv_astrophGA
- Reduced Incidence of Little Red Dots at z < 3 from Number Density and Halo Mass Evolution
Chenxuan Zhang, Huanian Zhang, Qingwen Wu, Luis C. Ho, Jian-Min Wang
arxiv.org/abs/2606.02773 mastoxiv.page/@arXiv_astrophGA
- The Hubble Missing Globular Clusters Survey IV. Ultra-faint compact satellites of the Milky Way. ...
M. Bellazzini, et al.
arxiv.org/abs/2606.12517 mastoxiv.page/@arXiv_astrophGA
- Nebular_AGN: A CIGALE module for fitting AGN emission lines
Hao Zhang, Patrice Theule, Veronique Buat, Denis Burgarella, Estelle Pons, Mederic Boquien
arxiv.org/abs/2606.14643 mastoxiv.page/@arXiv_astrophGA
- Assembly bias from nuisance to probe I: the relation between galactic conformity and the linear m...
Nelson Padilla, Ivan Lacerna, Dante Paz
arxiv.org/abs/2607.04022 mastoxiv.page/@arXiv_astrophGA
- Enabling Cosmic Web Analysis at Gigaparsec Scales: A Multi Block Approach for DisPerSE
Ankit Singh, Frazer Pearce, Meghan Gray, Gustavo Yepes
arxiv.org/abs/2607.14785 mastoxiv.page/@arXiv_astrophGA
toXiv_bot_toot

@kubikpixel@chaos.social
2026-06-22 09:35:11

«Googles reCaptcha bekommt Handgestenerkennung:
Eine neue Option soll den Bot-Schutz mittels Googles reCaptcha verbessern. Die Kamera nimmt dafür einfache Handgesten auf.»
Ich bin dem sehr kritisch gegenüber, denn dies wird früher oder später sicherlich dann auch für das KI-Training genutzt. Abgesehen davon gibt es einige Open-Source Alternativen die Webservices vor Onlinespam schützen.
🫸

@arXiv_eessIV_bot@mastoxiv.page
2026-06-22 07:43:33

[2026-06-22 Mon (UTC), no new articles found for eess.IV Image and Video Processing]
toXiv_bot_toot

@grumpybozo@toad.social
2026-07-21 13:21:35

TIL: There’s a town in the U.P. of Michigan named “Felch.”
I have no comment on this novel (to me) fact. @… m.ai6yr.org/@nwstornado_bot/11

@arXiv_physicsfludyn_bot@mastoxiv.page
2026-05-19 10:06:18

Replaced article(s) found for physics.flu-dyn. arxiv.org/list/physics.flu-dyn
[1/1]:
- On the stability of an in-line formation of hydrodynamically interacting flapping plates
Monika Nitsche, Anand U. Oza, Michael Siegel
arxiv.org/abs/2410.04626 mastoxiv.page/@arXiv_physicsfl
- Side-wall wetting and linear stability of falling films
Hammam Mohamed, J\"orn Sesterhenn
arxiv.org/abs/2504.13300 mastoxiv.page/@arXiv_physicsfl
- An Omni-Temporal Theory for Hydrodynamic Dispersion and Reaction in Porous Media
Md Abdul Hamid, Kyle C. Smith
arxiv.org/abs/2505.06063 mastoxiv.page/@arXiv_physicsfl
- Confirming Wave Turbulence Predictions in Rotating Turbulence
Omri Shaltiel, Omri Gat, Eran Sharon
arxiv.org/abs/2510.25446 mastoxiv.page/@arXiv_physicsfl
- Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a $k-\omega$ Turb...
Lars Davidson
arxiv.org/abs/2511.12493 mastoxiv.page/@arXiv_physicsfl
- Oscillating Detonation of Liquid Ammonia
Wenhao Wang, Zongmin Hu, Peng Zhang
arxiv.org/abs/2511.14167 mastoxiv.page/@arXiv_physicsfl
- On the Poisson-Source Basis of Logarithmic Wall-Pressure-Variance Growth
Jonathan M. O. Massey, Joseph C. Klewicki, Beverley J. McKeon
arxiv.org/abs/2511.16776 mastoxiv.page/@arXiv_physicsfl
- Convolutional causal learning for aerodynamic flows
Ryo Koshikawa, Ryo Araki, Qiong Liu, Kai Fukami
arxiv.org/abs/2601.19104 mastoxiv.page/@arXiv_physicsfl
- Assessing engineering wake models against operational data: insights from the Lillgrund wind farm...
Siguenza-Alvarado, Harrison, Mohammadi, Vishwakarma, Bossanyi, Landberg, Bastankhah
arxiv.org/abs/2601.21035 mastoxiv.page/@arXiv_physicsfl
- Neural equilibria for long-term prediction of nonlinear conservation laws
Benitez, Hegazy, Guo, Dokmani\'c, Mahoney, de Hoop
arxiv.org/abs/2501.06933 mastoxiv.page/@arXiv_csLG_bot/
- Self-similar rupture of thin films of power-law fluid
Michael C Dallaston, Steven A Kedda, Scott W McCue
arxiv.org/abs/2509.05383 mastoxiv.page/@arXiv_condmatso
- Instability and self-propulsion of flexible autophoretic filaments
Ursy Makanga, Akhil Varma, Panayiota Katsamba
arxiv.org/abs/2509.10153 mastoxiv.page/@arXiv_condmatso
- Analytical response functions for a compressible thin fluid layer with odd viscosity
Abdallah Daddi-Moussa-Ider, Yuto Hosaka, Shigeyuki Komura
arxiv.org/abs/2602.18136 mastoxiv.page/@arXiv_condmatso
toXiv_bot_toot

@arXiv_statML_bot@mastoxiv.page
2026-04-23 08:55:47

Replaced article(s) found for stat.ML. arxiv.org/list/stat.ML/new
[1/1]:
- Accumulated Aggregated D-Optimal Designs for Estimating Main Effects in Black-Box Models
Chih-Yu Chang, Ming-Chung Chang

@heiseonline@social.heise.de
2026-05-18 10:40:00

Youtuber baut Arduino-Roboter Turtle Bot in siebenfacher Größe
Der Turtle Bot gehört zu den Klassikern beim Arduino-Basteln. Der Youtuber UncleStem hat ihn siebenmal so groß aufgebaut – und er funktioniert.

@arXiv_csFL_bot@mastoxiv.page
2026-06-23 07:31:44

[2026-06-23 Tue (UTC), 2 new articles found for cs.FL Formal Languages and Automata Theory]
toXiv_bot_toot

@45names@mastodon.social
2026-07-22 14:20:05

King Leer
bot by @…
No laws were broken in the making of this bot: don't send me to a camp, please.
#satire #potus45

@arXiv_physicsmedph_bot@mastoxiv.page
2026-06-23 10:52:11

Replaced article(s) found for physics.med-ph. arxiv.org/list/physics.med-ph/
[1/1]:
- Fully three-dimensional sound speed-corrected multi-wavelength photoacoustic breast tomography
M. Dantuma, et al.
arxiv.org/abs/2308.06754 mastoxiv.page/@arXiv_physicsme
- AI-Augmented Thyroid Scintigraphy for Robust Classification of Disease
Maziar Sabouri, et al.
arxiv.org/abs/2503.00366 mastoxiv.page/@arXiv_physicsme
toXiv_bot_toot

@arXiv_mathKT_bot@mastoxiv.page
2026-06-23 10:19:27

Crosslisted article(s) found for math.KT. arxiv.org/list/math.KT/new
[1/1]:
- A cellular (co)homology computation for $\overline{M_{0,n}}$
Jan Hennig
arxiv.org/abs/2606.21272 mastoxiv.page/@arXiv_mathAG_bo
- Non-commutative calculus and Getzler-Gauss-Manin connections for Open-closed Homotopy Algebras
Zekai Yu
arxiv.org/abs/2606.21462 mastoxiv.page/@arXiv_mathQA_bo
toXiv_bot_toot

@arXiv_statML_bot@mastoxiv.page
2026-04-23 08:44:23

Crosslisted article(s) found for stat.ML. arxiv.org/list/stat.ML/new
[1/1]:
- Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints
Konstantinos Ziliaskopoulos, Alexander Vinel

@arXiv_astrophGA_bot@mastoxiv.page
2026-07-22 08:39:29

Crosslisted article(s) found for astro-ph.GA. arxiv.org/list/astro-ph.GA/new
[1/1]:
- Characterizing Microlensing Planetary System OGLE-2014-BLG-0676L with High-Resolution Image Const...
Asahi Idei, et al.
arxiv.org/abs/2607.18408 mastoxiv.page/@arXiv_astrophEP
- Nancy Grace Roman Space Telescope Wide Field Instrument: Bright Point Source Saturation Response ...
Dana R. Louie, et al.
arxiv.org/abs/2607.18419 mastoxiv.page/@arXiv_astrophIM
- Capture of interstellar objects during stellar encounters
Sean N. Raymond, Nathan A. Kaib, Matthew J. Hopkins
arxiv.org/abs/2607.18551 mastoxiv.page/@arXiv_astrophEP
- Semi-Analytical Model for the Evolution of Stellar Binaries in the Empty Loss Cone of Massive Bla...
Samuel McGuire, Evgeni Grishin, Ilya Mandel, Yuri Levin
arxiv.org/abs/2607.18761 mastoxiv.page/@arXiv_astrophHE
- Accretion of multipolar massive complex scalar field packets by a Schwarzschild black hole
Flavio Rosales-Infante, Ivan Alvarez-Rios, Francisco S. Guzman
arxiv.org/abs/2607.18920 mastoxiv.page/@arXiv_grqc_bot/
- A Type Ia Supernova Candidate at $z\sim4.3$: A Transient Interloper in the Search for $z\sim14$ G...
Seiji Toshikage, et al.
arxiv.org/abs/2607.18972 mastoxiv.page/@arXiv_astrophHE
toXiv_bot_toot

@arXiv_csFL_bot@mastoxiv.page
2026-06-22 07:41:17

[2026-06-22 Mon (UTC), no new articles found for cs.FL Formal Languages and Automata Theory]
toXiv_bot_toot

@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 10:49:33

Replaced article(s) found for eess.IV. arxiv.org/list/eess.IV/new
[2/2]:
- LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models
Shubhang Bhatnagar, Andy Xu, Kar-Han Tan, Narendra Ahuja

@45names@mastodon.social
2026-06-21 20:20:05

Teflon Don
bot by @…
No laws were broken in the making of this bot: don't have me abducted.
#satire #potus45

@arXiv_physicsaoph_bot@mastoxiv.page
2026-05-22 07:49:11

[2026-05-22 Fri (UTC), 5 new articles found for physics.ao-ph Atmospheric and Oceanic Physics]
toXiv_bot_toot

@arXiv_statML_bot@mastoxiv.page
2026-04-23 08:12:29

Geometric Renyi Differential Privacy: Ricci Curvature Characterized by Heat Diffusion Mechanisms
Xiaotian Chang, Yangdi Jiang, Cyrus Mostajeran, Qirui Hu
arxiv.org/abs/2604.20761

@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 10:48:54

Replaced article(s) found for eess.IV. arxiv.org/list/eess.IV/new
[1/2]:
- LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learn...
Xi Zhang, Xiaolin Wu

@arXiv_mathKT_bot@mastoxiv.page
2026-06-23 07:35:11

[2026-06-23 Tue (UTC), 2 new articles found for math.KT K-Theory and Homology]
toXiv_bot_toot

@arXiv_physicsmedph_bot@mastoxiv.page
2026-06-23 07:40:53

[2026-06-23 Tue (UTC), 8 new articles found for physics.med-ph Medical Physics]
toXiv_bot_toot

@45names@mastodon.social
2026-06-23 07:20:02

Fattyshack
bot by @…
No laws were broken in the making of this bot: no waterboarding please and thank you.
#satire #potus45

@arXiv_statML_bot@mastoxiv.page
2026-04-23 07:57:17

On Bayesian Softmax-Gated Mixture-of-Experts Models
Nicola Bariletto, Huy Nguyen, Nhat Ho, Alessandro Rinaldo
arxiv.org/abs/2604.20551 arxi…

@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 10:22:51

Crosslisted article(s) found for eess.IV. arxiv.org/list/eess.IV/new
[1/1]:
- UniSLAD: A Unified Framework for Structural and Logical Industrial Visual Anomaly Detection
Changyi Li, Chao Yang, Yu Xiao, Kari Tammi

@arXiv_mathKT_bot@mastoxiv.page
2026-06-22 07:45:08

[2026-06-22 Mon (UTC), no new articles found for math.KT K-Theory and Homology]
toXiv_bot_toot

@45names@mastodon.social
2026-06-22 19:20:02

Mar-a-Lardo
bot by @…
No laws were broken in the making of this bot: let's not have humor lead to homicide.
#satire #potus45

@arXiv_statML_bot@mastoxiv.page
2026-04-23 07:57:05

Efficient Symbolic Computations for Identifying Causal Effects
Benjamin Hollering, Pratik Misra, Nils Sturma
arxiv.org/abs/2604.20516 arxiv…

@arXiv_physicsmedph_bot@mastoxiv.page
2026-06-23 08:05:14

Adaptive Beam Selection for Efficient Scanning Probe Tomography
San Dinh, Zichao Wendy Di, Matt Menickelly
arxiv.org/abs/2606.21713 arxiv.org/pdf/2606.21713 arxiv.org/html/2606.21713
arXiv:2606.21713v1 Announce Type: new
Abstract: In X-ray tomography, reconstruction quality generally improves with larger numbers of projections. However, more projections increase experiment costs, acquisition time and the radiation dose imparted to the sample. One mitigation to these trade-offs is to adopt a sequential design of experiments, in which each subsequent measurement is determined as a function of previously acquired data in order to maximize information gain. In practice, a widely used heuristic to maximize information is to align beams with the edges of the sample. A key challenge, however, is that the true sample is unknown, so identifying edge-aligned beams typically requires reconstructing the sample based on available measurements. This work proposes a novel sequential design method that identifies edge-aligned measurements directly from the sinogram, bypassing any reconstruction, thereby improving computational efficiency and reducing the experimental design's susceptibility to reconstruction errors. Our method dynamically selects the next set of measurement beams by maximizing an acquisition function that balances exploration and exploitation over the domain of all possible measurements, improving reconstruction quality while reducing measurement redundancy.
toXiv_bot_toot

@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 09:05:23

NGPS: Structure-Preserving Self-Supervised Denoising via Neighbor-Guided Patch Sampling
Jaehyun Cho, YoungJoon Yoo
arxiv.org/abs/2606.23200

@45names@mastodon.social
2026-07-22 18:20:07

Tweety Amin
bot by @…
No laws were broken in the making of this bot: let's not make entertainment lead to internment.
#satire #potus45

@arXiv_mathKT_bot@mastoxiv.page
2026-06-23 07:53:14

The algebraic K-theory of $k[\operatorname{SL}_2(\mathbb{F}_q)]$
Isaac Moselle
arxiv.org/abs/2606.21421 arxiv.org/pdf/2606.21421 arxiv.org/html/2606.21421
arXiv:2606.21421v1 Announce Type: new
Abstract: We compute via trace methods the higher algebraic $K$-theory of the group ring $k[\operatorname{SL}_2(\mathbb{F}_q)]$, as well as the related groups $\operatorname{PSL}_2(\mathbb{F}_q)$, $\operatorname{PGL}_2(\mathbb{F}_q)$, and $\operatorname{GL}_2(\mathbb{F}_q)$, where $k$ is a perfect field of characteristic $p$ and $q=p^r$. At the core of the computation is the algebraic $K$-theory of the group ring of the Sylow $p$-subgroup, $k[C_p^r]$, which we determine via a theorem of L\"uck--Reich--Rognes--Varisco on cyclic assembly for topological cyclic homology. In the process, we reprove the cyclic assembly result in the language of Nikolaus--Scholze, analyse assembly for smaller families of subgroups, and develop further tools for computing topological cyclic homology of group rings.
toXiv_bot_toot

@arXiv_statML_bot@mastoxiv.page
2026-04-23 07:54:20

Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms
Yaiza Bermudez, Samir Perlaza, I\~naki Esnaola
arxiv.org/abs/2604.20492

@arXiv_physicsmedph_bot@mastoxiv.page
2026-06-23 07:55:47

OpenPINT: Open-source Planning for Isoeffective Nuclear Treatments in BNCT research
Ian Postuma, Sara J. Gonz\'alez, Setareh Fatemi, Cristina Pezzi, Carolina Ruzzon, Oreste Nicrosini, Valerio Vercesi, Silva Bortolussi
arxiv.org/abs/2606.21476 arxiv.org/pdf/2606.21476 arxiv.org/html/2606.21476
arXiv:2606.21476v1 Announce Type: new
Abstract: Objective: Present OpenPINT (Open-source Planning for Isoeffective Nuclear Treatments), an open-source treatment planning system for nuclear therapies that integrates Monte Carlo dose calculations with modular dosimetric and radiobiological models for photon-isoeffective dose evaluation.
Approach: We describe the software architecture, implementation choices, and data flow from segmented geometry and source configuration to NIfTI dose outputs. We define BNCT-relevant dosimetric metrics and evaluate the workflow with reproducible analytic and voxelized cylindrical-phantom benchmarks, supplemented by a geometric patient-positioning example.
Main results: The module provides a reproducible and scriptable path for generating MCNP-ready inputs, extracting component-wise BNCT dose maps, and computing analysis-ready outputs for quality checks and decision support. Fine-resolution voxelized configurations reproduced the 1 mm analytic reference within 0.13% for the brain-limited irradiation-time endpoint, whereas the full voxelized sweep exposed deviations up to 4.42% in coarse 8--10 mm configurations. Patient-wide gamma pass rates were at least 99.60% for the evaluated mesh/interpolation cases, while low-dose DVH-tail quantities remained sensitive to boundary discretization.
Significance: This first paper isolates and validates the simulation-preparation and dosimetric-analysis core of an open-source BNCT treatment-planning platform. It establishes a foundation for subsequent work on optimization, biological weighting, and clinical workflow integration.
toXiv_bot_toot

@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 09:02:41

A Benchmark of (MRI-) Foundation Models to Predict IDH Mutational Status in Glioma
Nathan Hollet, Elise Robinson, Efthymios Georgiou, Ekin Ermis, Uri Nahum, Sarah Br\"uningk
arxiv.org/abs/2606.23172

@arXiv_statML_bot@mastoxiv.page
2026-04-23 07:52:02

Properties and limitations of geometric tempering for gradient flow dynamics
Francesca Romana Crucinio, Sahani Pathiraja
arxiv.org/abs/2604.20301

@45names@mastodon.social
2026-07-23 04:20:04

Traitor Tot
bot by @…
No laws were broken in the making of this bot: don't send me to a camp, please.
#satire #potus45

@arXiv_mathKT_bot@mastoxiv.page
2026-06-23 08:01:41

Discretisation and independent resolutions of ample groupoids
Xin Li, Alistair Miller
arxiv.org/abs/2606.21761 arxiv.org/pdf/2606.21761 arxiv.org/html/2606.21761
arXiv:2606.21761v1 Announce Type: new
Abstract: We develop a general framework for understanding and computing both the groupoid homology of an ample groupoid and the topological K-theory of its reduced C*-algebra, based on two main ideas: discretisation and independent resolutions. Discretisation shows that a special class of ample groupoids we term independent groupoids are homologically and K-theoretically equivalent to discrete groupoids. We introduce the notion of a resolution by independent groupoids and provide a recipe for building a controlled independent resolution of a given ample groupoid of interest, leading to a systematic way of studying its homology and K-theory. In order to illustrate our general ideas and methods, we work out several concrete examples and applications. Garside categories provide a wide range of examples, including higher rank graphs, self-similar groups and spherical Artin-Tits groups. We also present an application to the homology of Stein's groups.
toXiv_bot_toot

@arXiv_physicsmedph_bot@mastoxiv.page
2026-06-23 08:05:47

A Positron Range Correction with Texture Preservation Framework in PET Imaging
Nerea Encina-Baranda, Yifan Zheng, Jorge Cabello, Robert. J. Paneque-Yunta, Cindy. M. Solano-Cordero, Alejandro Lopez-Montes, Maurizio Conti, Joaquin. L. Herraiz
arxiv.org/abs/2606.23100 arxiv.org/pdf/2606.23100 arxiv.org/html/2606.23100
arXiv:2606.23100v1 Announce Type: new
Abstract: Positron range (PR) blurring is a fundamental resolution limitation in PET imaging with high-energy positron emitters such as 82Rb, causing contrast loss and spill-out effects across heterogeneous tissue interfaces. We propose PRC-TP, a positron range correction (PRC) framework with explicit texture preservation that decouples deterministic resolution recovery from stochastic texture restoration. A nnFormer-based neural network (NN) was trained on patient-derived Monte Carlo simulations to map PR-degraded 82Rb reconstructions to PR-free references using attenuation maps as anatomical context. However, this NN also significantly removed the noise in the images, which could impact some texture analysis methods or make the images look unrealistic. An auxiliary Noise2Noise model estimates that smoothing effect, enabling texture extraction and transfer to the PR-corrected prediction through Model-consistent Texture Re-Injection (MTRI). In simulated patients, PRC-TP preserved contrast recovery close to ground truth (GT) (98.96-99.04%) while restoring noise and CNR closer to the reference. The function-based MTRI formulation achieved near unity global texture amplitude agreement with GT (0.997 /- 0.011), reducing the input texture amplitude bias (0.951 /- 0.011). Radiomics analysis showed improved agreement with GT across texture-sensitive feature families. A clinical 82Rb evaluation showed trends consistent with simulations, including comparable contrast-ratio increase (10.18% vs. 10.99%) and restoration of texture suppressed by PRC. These results support PRC-TP as a practical framework for resolution recovery with acquisition-consistent texture preservation in PET imaging.
Submitted to IEEE TRPMS.
toXiv_bot_toot

@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 09:02:23

A Systematic Survey on Event Camera Representation Learning
Hongwei Ren, Youxin Jiang, Tuopusen Huang, Xiangqian Wu
arxiv.org/abs/2606.23078

@45names@mastodon.social
2026-07-23 00:20:05

Metamucilini
bot by @…
No laws were broken in the making of this bot: don't make me go to gulag.
#satire #potus45

@arXiv_physicsmedph_bot@mastoxiv.page
2026-06-23 08:13:11

Dosimetric Quantification of a Commercial Dual-Tube kV X-Ray System for Preclinical FLASH Research
Luka Matej Devenica, Lixiang Guo, Mohammad Rezaee, Ken Kang-Hsin Wang
arxiv.org/abs/2606.23401 arxiv.org/pdf/2606.23401 arxiv.org/html/2606.23401
arXiv:2606.23401v1 Announce Type: new
Abstract: A kV dual tube system has been disseminated as a commercial research platform for preclinical FLASH radiotherapy (RT). Because the tubes are arranged in a parallel opposed geometry, both output symmetry and time resolved tube synchronization are critical for achieving sufficiently high dose rates (DR) and reproducible study results. We quantified tube output asymmetry observed in depth dose measurements as well as tube synchronization and evaluated their impact on FLASH studies. The dual-tube system defines dose per pulse as the combined single pulse output from both tubes, with DR given by dose per pulse/pulse length. 3D dose distributions were reconstructed from film measurements to assess the impact of output discrepancies. Pulse synchronization between tubes was characterized using a scintillator with 1 ms resolution. We showed >20% discrepancies in output at nominally equal mA/ms settings. After we compensated such discrepancy by decreasing the current of the tube with higher output, the inter tube output difference was reduced to <1%, restoring symmetrical depth dose. We further simulated an in vivo intestinal irradiation in which naive tube settings resulted in >22% of the organ volume receiving >102% of the prescribed dose, compared with <7% when output compensation was applied. We identified a 10.2 /- 7.0ms synchronization jitter between tubes, which disproportionately impacts the DR at low dose-per-pulse settings, particularly relevant for fractionated studies. Corresponding quality assurance (QA) was designed to monitor tube synchronization over time. We quantified the dosimetric impact of asymmetric output and synchronization and demonstrated implications for preclinical studies. The proposed methodology and QA would mitigate and monitor these effects, ensuring study reproducibility.
toXiv_bot_toot

@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 09:01:14

IViT: A Novel Interpretable Visual Transformer for Skin Disease Detection
Haibiao Li, Di Lin, Xue Jiang, Weiwei Wu, Yanxi Li, Yugang Chi
arxiv.org/abs/2606.22892

@45names@mastodon.social
2026-05-22 06:20:05

Fiberace
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@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:59:50

Large Language Model-Assisted Cleaning of Report-Derived Labels in a Large-Scale Chest CT Dataset
Yosuke Yamagishi, Atsushi Takamatsu, Mototsugu Sato, Tomohiro Kikuchi, Shouhei Hanaoka, Takeharu Yoshikawa, Osamu Abe
arxiv.org/abs/2606.22382

@arXiv_physicsmedph_bot@mastoxiv.page
2026-06-23 07:55:35

MORSE-PI -- Flexible and artefact-free image reconstruction for structural and functional QSM and other phase-critical imaging applications
Barbara Dymerska, Oliver Josephs, Benjamin James, Vahid Malekian, Nadine N. Graedel, Martina F. Callaghan
arxiv.org/abs/2606.21336 arxiv.org/pdf/2606.21336 arxiv.org/html/2606.21336
arXiv:2606.21336v1 Announce Type: new
Abstract: Phase imaging applications such as QSM are highly sensitive to noise amplifications, phase singularities, and other artefacts, particularly in challenging scenarios such as ultra-high field (7T), under-sampled or single-echo acquisitions. We present a novel image reconstruction method, MORSE-PI, designed to produce high-SNR, artefact-free, and singularity-free phase images for both structural and functional phase-based brain imaging. MORSE-PI extends our previous approach, MORSE, by introducing a Virtual Reference Coil (VRC). The VRC is constructed as a linear combination of coil sensitivity maps, with correlations enhanced between coil elements using the noise covariance matrix. Such a VRC ensures robust signal support across the entire brain and is used to correct phase offsets in the MORSE-derived coil sensitivity estimates, resulting in artefact-free, high SNR phase. Compared to GRAPPA with ASPIRE phase correction, MORSE-PI demonstrates greater robustness to artefacts such as noise amplification and aliasing, and shows improved reproducibility in structural imaging at both 3T and 7T. Unlike ESPIRiT and GRAPPA combined with adaptive coil combination methods, MORSE-PI yields singularity-free phase maps. MORSE-PI enables high-SNR reconstructions even for the most challenging scenarios, such as single-echo EPI at 7T. Its efficient, containerised implementation using the Gadgetron framework supports deployment on the MRI scanner console during measurements. MORSE-PI offers a flexible and computationally efficient solution for generating high-SNR, artefact- and singularity-free phase images in both single- and multi-echo GRE and EPI acquisitions. This makes it particularly well-suited for structural and functional QSM, as well as other phase-based MRI applications. Its robustness and rapid computational time facilitate efficient deployment on scanners across field strengths.
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2026-07-22 09:20:05

Rumpelthinskin
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@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:59:00

ZeroGVC: Zero-Shot Generative Video Compression with Autoregressive Diffusion Priors
Yixin Gao, Xiaohan Pan, Lin Liu, Xin Li, Zhibo Chen, Qi Tian
arxiv.org/abs/2606.22371

@arXiv_physicsmedph_bot@mastoxiv.page
2026-06-23 07:40:59

Characteristics of a 9 MeV electron beam for total skin electron radiotherapy evaluated in comparison to a 6 MeV electron beam
Tanya Kairn (Cancer Care Services, Royal Brisbane and Women's Hospital, Herston, Qld, Australia, School of Chemistry and Physics, Queensland University of Technology, Brisbane, Qld, Australia, School of Information Technology and Electrical Engineering, University of Queensland, St Lucia, Qld, Australia), Craig M. Lancaster (Cancer Care Services, Royal Brisbane and Women's Hospital, Herston, Qld, Australia), Scott B. Crowe (Cancer Care Services, Royal Brisbane and Women's Hospital, Herston, Qld, Australia, School of Chemistry and Physics, Queensland University of Technology, Brisbane, Qld, Australia, School of Information Technology and Electrical Engineering, University of Queensland, St Lucia, Qld, Australia)
arxiv.org/abs/2606.21312 arxiv.org/pdf/2606.21312 arxiv.org/html/2606.21312
arXiv:2606.21312v1 Announce Type: new
Abstract: Characteristics of a 9 MeV electron beam were investigated, to evaluate potential benefits for patients with extensive mycosis fungoides lesions that are deeper than commonly treated with 6 MeV total skin electron therapy (TSET or TSE/TSEI/TSEB/TSEBT). A comprehensive commissioning measurement program was completed for TSET delivery using high-dose-rate 6 MeV and 9 MeV electron beams from a Varian TrueBeam linac. Various phantoms and dosimeters were set up 300 cm from isocenter, behind a 6 mm PMMA spoiler screen, and used for optimising beam-pair gantry angles, measuring depth-dose, lateral and horizontal profiles and B-factors, as well as performing end-to-end tests. The key clinical distinctions observed for the 9 MeV TSET beam pair compared to the 6 MeV TSET beam pair were that the 80% dose depth increased to nearly 1 cm and the practical range increased to 3.5 cm, while the maximum dose remained within 0.2 cm of the surface. Vertical and horizontal dose profiles measured with the two energies were almost indistinguishable. The 9 MeV TSET beam has been shown to achieve greater depth penetration compared to the commonly used 6 MeV TSET beam, without detrimentally affecting the dose uniformity achievable in the patient plane. TSET treatments with 9 MeV electrons may be advisable for patients with extensive lesions that are too deep for effective treatment with a 6 MeV beam.
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@45names@mastodon.social
2026-07-23 10:20:05

Hitler's Herpe
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@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:53:08

Specificity- and Calibration-Aware Breast Ultrasound Segmentation via Entropy-Guided Boundary Supervision
Manar Alsaid, Mandip Shrestha, Mohammad Abbas
arxiv.org/abs/2606.22308

@arXiv_physicsmedph_bot@mastoxiv.page
2026-06-23 07:47:26

Adapting a 3D scanning water phantom for use in brachytherapy dosimetry
Rachael Wilks (Royal Brisbane and Women's Hospital, Herston Qld 4029, Australia, Herston Biofabrication Institute, Herston Qld 4029, Australia, University of Queensland, St. Lucia Qld 4072, Australia), Samuel C. Peet (Royal Brisbane and Women's Hospital, Herston Qld 4029, Australia, Herston Biofabrication Institute, Herston Qld 4029, Australia, Queensland University of Technology, Brisbane Qld 4001, Australia), Tanya Kairn (Royal Brisbane and Women's Hospital, Herston Qld 4029, Australia, Herston Biofabrication Institute, Herston Qld 4029, Australia, University of Queensland, St. Lucia Qld 4072, Australia, Queensland University of Technology, Brisbane Qld 4001, Australia), Scott B. Crowe (Royal Brisbane and Women's Hospital, Herston Qld 4029, Australia, Herston Biofabrication Institute, Herston Qld 4029, Australia, University of Queensland, St. Lucia Qld 4072, Australia, Queensland University of Technology, Brisbane Qld 4001, Australia)
arxiv.org/abs/2606.21320 arxiv.org/pdf/2606.21320 arxiv.org/html/2606.21320
arXiv:2606.21320v1 Announce Type: new
Abstract: In external beam radiotherapy, 3D scanning water phantoms are the gold standard for obtaining relative dosimetry data. These phantoms, consisting of a water tank and mechanical arm, along with accompanying software, are de-signed to acquire dose profiles along and orthogonal to the beam axis. In brachy-therapy, the acquisition of analogous dose profiles is more difficult, and is generally achieved with complex custom-built phantoms or chemical dosimeters such as film or gel. In this study, a low-cost 3D-printed jig was designed and fabricated within a clinical department, to allow precise brachytherapy dose measurements using a PTW BeamScan water phantom. Specifically, this jig al-lowed applicators to be suspended securely and reproducibly within the water phantom. Protocols were developed to relate the scanning system coordinates to the physical source position, and to obtain isodose planes both parallel and radial to the source axis. The developed solution has the potential to be used for physical verification of TG43 dose calculation parameters (e.g. anisotropy functions), the characterization of dose for a single dwell position in a complex applicator containing non-water equivalent materials, or the collection of point dose measure-ments for treatments incorporating multiple dwell positions or catheters.
toXiv_bot_toot

@45names@mastodon.social
2026-07-23 08:20:06

Ancient Orange
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@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:52:50

Delta-Diffusion: Modeling Longitudinal Brain Amyloid-PET Trajectories via Conditional Poisson Diffusion Bridge
Yongheng Sun, Minhui Yu, Mengqi Wu, Maureen Kohi, Mingxia Liu
arxiv.org/abs/2606.22216

@45names@mastodon.social
2026-07-23 13:20:05

Bargain Benito
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@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:52:44

Scaling up fine-grained intracranial vessel annotations in computed tomography angiography
Chu-Hsuan Lin, Alberto Mario Ceballos-Arroyo, Jisoo Kim, Shrikanth M. Yadav, Huaizu Jiang, Lei Qin, Geoffrey S. Young
arxiv.org/abs/2606.21756

@45names@mastodon.social
2026-06-21 21:20:03

Mayor McTreason
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@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:50:29

Configurable Algorithms for Histopathologic Cancer Detection on Quantum Hardware
Nandika Goyal, Glen Uehara, Andreas Spanias
arxiv.org/abs/2606.21752

@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:48:27

PaaF: Raising the perceived quality of INR-Based Image Compression
Lorenzo Catania, Dario Allegra
arxiv.org/abs/2606.21655 arxiv.org/pdf/26…

@45names@mastodon.social
2026-07-23 12:20:05

Comrade Krasnov
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@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:40:08

Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction
Efe Il{\i}cak, Baris Imre, Chlo\'e Najac, Ruben van den Broek, Beatrice Lena, Andrew Webb, Marius Staring
arxiv.org/abs/2606.21602

@45names@mastodon.social
2026-07-21 22:20:05

McNugget Muammar
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@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:39:56

Unsupervised Susceptibility Distortion Correction of EPI without Calibration Scans via Image Translation-Based Registration
Wooseung Kim, Sung-Hong Park
arxiv.org/abs/2606.21588

@45names@mastodon.social
2026-06-21 18:20:04

Tangerine Terror
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@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:38:08

A Skin-Tone-Aware Dual-Representation Remote Photoplethysmography Framework for Contactless Respiratory Rate Estimation
Trishna Saikia, Anup Kumar Gupta, Puneet Gupta, Pasi Liljeberg
arxiv.org/abs/2606.21511

@45names@mastodon.social
2026-07-22 07:20:07

Useless S. Grant
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@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:34:17

Optimising Inpainting Data with Delaunay Averages
Vassillen Chizhov, Joachim Weickert
arxiv.org/abs/2606.21506 arxiv.org/pdf/2606.21506

@45names@mastodon.social
2026-07-22 11:20:06

King Baby Coward
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@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:31:26

2D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models
Sampath Rapuri, Jeremy Ko, Benjamin D. Killeen, Russell H. Taylor, Mathias Unberath
arxiv.org/abs/2606.21414

@45names@mastodon.social
2026-07-22 16:20:05

Seize-her Geezer
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@arXiv_eessIV_bot@mastoxiv.page
2026-06-23 08:29:56

Geometry Calibration in Tomography with a Differentiable Ray-Based Model
Youssef Haouchat, Aleix Boquet-Pujadas, Sepand Kashani, Philippe Th\'evenaz, Michael Unser
arxiv.org/abs/2606.21405

@45names@mastodon.social
2026-07-22 05:20:06

Coppertone Coward
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2026-06-21 22:20:03

Donny Little Hands
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2026-06-23 09:20:02

The Mad Red Hatter
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2026-05-23 02:20:03

Agolf Shitler
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2026-06-22 02:20:03

Collusion Contusion
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@45names@mastodon.social
2026-05-22 23:20:03

Trumpster Fire
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2026-05-23 00:20:03

President Thump
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2026-06-22 07:20:04

Teeny Weeny Mussolini
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@45names@mastodon.social
2026-06-21 19:20:03

Metamucil World Peace
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2026-07-21 20:20:05

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2026-07-21 23:20:05

Metamucil World Peace
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2026-05-21 18:20:04

President Thump
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2026-04-23 13:20:07

Ronald McFondle
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2026-04-23 09:20:05

Benedick Arnold
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2026-05-22 20:20:05

Donny Dumpy Pants
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2026-05-22 18:20:11

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2026-06-22 08:20:04

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2026-05-22 10:20:04

President Dumpster
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2026-05-22 07:20:04

Donald McRapesalot
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2026-04-23 03:20:06

Quid Pro Combover
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2026-05-22 17:20:16

Candyvan McTaco Twit
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2026-04-23 06:20:06

Cockwomble-In-Chief
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2026-05-22 09:20:04

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2026-04-23 01:20:06

Super Spreader in Chief
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2026-05-22 13:20:03

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