Tootfinder

The party that was supposed to be good at managing the nation's finances cancelled the second leg of #HS2. Apparently, to save £36 billion, which "would instead be allocated to infrastructure projects to provide better transport links across the north of England." Yet we still do not really know the cancellation cost, or whether anything will really be spent extra on the north of Englan…

This https://arxiv.org/abs/2505.02750 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

A CRISP approach to QSP: XAI enabling fit-for-purpose models
Quantitative Systems Pharmacology (QSP) promises to accelerate drug development, enable personalized medicine, and improve the predictability of clinical outcomes. Realizing this potential requires effectively managing the complexity of mathematical models representing biological systems. Here, we present and validate a novel QSP workflow--CRISP (Contextualized Reduction for Identifiability and Scientific Precision)--that addresses a central challenge in QSP: the problem of complexity and over-…

Introducing a vertex polynomial invariant for embedded graphs
Qi Yan, Qingying Deng, Metrose Metsidik
https://arxiv.org/abs/2506.07522 https://

Introducing a vertex polynomial invariant for embedded graphs
The ribbon group action extends geometric duality and Petrie duality by defining two embedded graphs as twisted duals precisely when they lie within the same orbit under this group action. Twisted duality yields numerous novel properties of fundamental graph polynomials. In this paper, we resolve a problem raised by Ellis-Monaghan and Moffatt [Trans. Amer. Math. Soc. 364 (2012), 1529--1569] for vertex counts by introducing the vertex polynomial: a generating function quantifying vertex distribu…

"The waste of having processes that create defects and then use inspection to catch them is certainly something to avoid. A significant part of the effort in code reviews should be geared toward capturing learning that can be applied to current processes to improve them so fewer bugs are created in the future.
..."

Just read Plantin & Thomer's article, on the changes Figshare for Institutions introduces into the provision & organization of data-management labor in libraries. The authors worry that this commercial SaaS platform for institutional & data repositories, while fulfilling a number of library needs, will have detrimental effects. While it's a good piece of infrastructure-studies research, I question some of the analysis & conclusions.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model
Xiaoli Wei, Chunxia Zhang, Baisong Jiang, Anxiang Di, Deng Xiong, Jiangshe Zhang, Mingming Gong
https://arxiv.org/abs/2506.07923

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model
Seismic data interpolation is a critical pre-processing step for improving seismic imaging quality and remains a focus of academic innovation. To address the computational inefficiencies caused by extensive iterative resampling in current plug-and-play diffusion interpolation methods, we propose the diffusion-enhanced sparse attention transformer (Diff-spaformer), a novel deep learning framework. Our model integrates transformer architectures and diffusion models via a Seismic Prior Extraction …

The random $k$-SAT Gibbs uniqueness threshold revisited
Arnab Chatterjee, Amin Coja-Oghlan, Catherine Greenhill, Vincent Pfenninger, Maurice Rolvien, Pavel Zakharov, Kostas Zampetakis
https://arxiv.org/abs/2506.01359

The random $k$-SAT Gibbs uniqueness threshold revisited
We prove that for any $k\geq3$ for clause/variable ratios up to the Gibbs uniqueness threshold of the corresponding Galton-Watson tree, the number of satisfying assignments of random $k$-SAT formulas is given by the `replica symmetric solution' predicted by physics methods [Monasson, Zecchina: Phys. Rev. Lett. (1996)]. Furthermore, while the Gibbs uniqueness threshold is still not known precisely for any $k\geq3$, we derive new lower bounds on this threshold that improve over prior work [Montan…

VolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction
Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva
https://arxiv.org/abs/2506.02895

VolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction
Accurate food volume estimation is crucial for dietary monitoring, medical nutrition management, and food intake analysis. Existing 3D Food Volume estimation methods accurately compute the food volume but lack for food portions selection. We present VolTex, a framework that improves \change{the food object selection} in food volume estimation. Allowing users to specify a target food item via text input to be segmented, our method enables the precise selection of specific food objects in real-wo…

Decorrelation of Poroelastic Data via Multiscale Mollifiers Wavelets
Bianca Kretz, Willi Freeden, Volker Michel
https://arxiv.org/abs/2506.04239 https://…

Decorrelation of Poroelastic Data via Multiscale Mollifiers Wavelets
Poroelasticity can be classified with geophysics and describes the interaction between solids deformation and the pore pressure in a porous medium. The investigation of this effect is anywhere interesting where a porous medium and a fluid come together into play, for example this is the case in geothermics. More precisely, it is an important aspect in reservoir management since the replacement of the water in the reservoir some kilometers below the Earth's surface has an effect on the surroundi…