Tootfinder

Majestic Trinity: Trettachspitze, Mädelegabel, Hochfrottspitze.
(Picture taken two weeks ago. If you zoom in & squint you can make out the crosses on the three summits...)
#SilentSunday #LandscapePhotography

The space of multifurcating ranked tree shapes: enumeration, lattice structure, and Markov chains
Julie Zhang, Noah A. Rosenberg, Julia A. Palacios
https://arxiv.org/abs/2506.10856

The space of multifurcating ranked tree shapes: enumeration, lattice structure, and Markov chains
Coalescent models of bifurcating genealogies are used to infer evolutionary parameters from molecular data. However, there are many situations where bifurcating genealogies do not accurately reflect the true underlying ancestral history of samples, and a multifurcating genealogy is required. The space of multifurcating genealogical trees, where nodes can have more than two descendants, is largely underexplored in the setting of coalescent inference. In this paper, we examine the space of rooted…

surpriiiseee https://ep2025.europython.eu/session/design-pressure-the-invisible-hand-that-shapes-your-code
*closes final cut, opens up keynote*

Design Pressure: The Invisible Hand That Shapes Your Code
Why does good code go bad? Hidden design pressures shape your architecture. Learn to spot these forces and leverage good ones while avoiding the bad.

How attention simplifies mental representations for planning
Jason da Silva Castanheira, Nicholas Shea, Stephen M. Fleming
https://arxiv.org/abs/2506.09520

How attention simplifies mental representations for planning
Human planning is efficient -- it frugally deploys limited cognitive resources to accomplish difficult tasks -- and flexible -- adapting to novel problems and environments. Computational approaches suggest that people construct simplified mental representations of their environment, balancing the complexity of a task representation with its utility. These models imply a nested optimisation in which planning shapes perception, and perception shapes planning -- but the perceptual and attentional …

Urban Discoveries II 🌆
都市发现 II 🌆
📷 Pentax MX
🎞️Lucky SHD 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

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Investigating the Perception of Translational Shape-Changing Haptic Interfaces
Qihan Yang, Xin Zhou, Adam J. Spiers
https://arxiv.org/abs/2506.09801 https:…

Investigating the Perception of Translational Shape-Changing Haptic Interfaces
Shape-changing haptic interfaces (SCHIs) are a promising and emerging field. However, compared to more established stimulus modalities, such as vibration, there is sparse literature on the perception of dynamic shapes. Furthermore, the influence of properties such as grasp types and displacement magnitude/direction has not been formally evaluated. This work attempts to initiate a formal perceptual evaluation of SCHIs via a psychophysical user study involving a 1-DOF translational shape-changing…

Interfacial deformation and energy exchange in strong free-surface turbulence
Andre Calado, Elias Balaras
https://arxiv.org/abs/2506.10090 https://

Interfacial deformation and energy exchange in strong free-surface turbulence
This study investigates the dynamics of strong free-surface turbulence (SFST) using direct numerical simulations (DNS). We focus on the energy exchange between the deformed free-surface and underlying turbulence, examining the influence of Reynolds ($Re$), Froude ($Fr$), and Weber ($We$) numbers. The two-fluid DNS of SFST at high $Fr$ and $We$ is able to incorporate air entrainment effects in a statistical steady-state. Results reveal that high $We$ primarily affects entrained bubble shapes (sp…

Shape optimization under width constraint: the Cheeger constant and the torsional rigidity
Beniamin Bogosel
https://arxiv.org/abs/2506.07708 https://

Shape optimization under width constraint: the Cheeger constant and the torsional rigidity
In this article it is shown that the equilateral triangle maximizes the Cheeger constant and minimizes the torsional rigidity among shapes having a fixed minimal width. The proof techniques use direct comparisons with simpler shapes, consisting of disks with three disjoint caps. Comparison results for harmonic functions help establish that in non-equilateral configurations the shape derivative has an appropriate sign, contradicting optimality.

Urban Discoveries II 🌆
都市发现 II 🌆
📷 Pentax MX
🎞️Lucky SHD 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.

Towards Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning
Kaijie Shi, Wanglong Lu, Hanli Zhao, Vinicius Prado da Fonseca, Ting Zou, Xianta Jiang
https://arxiv.org/abs/2506.08795

Towards Biosignals-Free Autonomous Prosthetic Hand Control via Imitation Learning
Limb loss affects millions globally, impairing physical function and reducing quality of life. Most traditional surface electromyographic (sEMG) and semi-autonomous methods require users to generate myoelectric signals for each control, imposing physically and mentally taxing demands. This study aims to develop a fully autonomous control system that enables a prosthetic hand to automatically grasp and release objects of various shapes using only a camera attached to the wrist. By placing the ha…

Excess dissipation shapes symmetry breaking in non-equilibrium currents
Matteo Sireci, Luca Peliti, Daniel Maria Busiello
https://arxiv.org/abs/2507.05882 …

Excess dissipation shapes symmetry breaking in non-equilibrium currents
Most natural thermodynamic systems operate far from equilibrium, developing persistent currents and organizing into non-equilibrium stationary states (NESSs). Yet, the principles by which such systems self-organize, breaking equilibrium symmetries under external and internal constraints, remain unclear. Here, we establish a general connection between symmetry breaking and dissipation in mesoscopic stochastic systems described by Langevin dynamics. Using a geometric framework based on the invers…

A Multi-Species Atmospheric Escape Model with Excited Hydrogen and Helium: Application to HD209458b
Anna Ruth Taylor, Tommi T. Koskinen, Luca Argenti, Nicholas Lewis, Chenliang Huang, Anthony Arfaux, Panayotis Lavvas
https://arxiv.org/abs/2506.08232

A Multi-Species Atmospheric Escape Model with Excited Hydrogen and Helium: Application to HD209458b
Atmospheric escape shapes exoplanet evolution and star-planet interactions, with He I 10830 Å absorption serving as a key tracer of mass loss in hot gas giants. However, transit depths vary significantly across observed systems for reasons that remain poorly understood. HD209458b, the archetypal hot-Jupiter, exhibits relatively weak He I 10830 Å and H$α$ absorption, which has been interpreted as evidence for a high H/He ratio (98/2), possibly due to diffusive separation. To investigate this …

Learning Pole Structures of Hadronic States using Predictive Uncertainty Estimation
Felix Frohnert, Denny Lane B. Sombrillo, Evert van Nieuwenburg, Patrick Emonts
https://arxiv.org/abs/2507.07668

Learning Pole Structures of Hadronic States using Predictive Uncertainty Estimation
Matching theoretical predictions to experimental data remains a central challenge in hadron spectroscopy. In particular, the identification of new hadronic states is difficult, as exotic signals near threshold can arise from a variety of physical mechanisms. A key diagnostic in this context is the pole structure of the scattering amplitude, but different configurations can produce similar signatures. The mapping between pole configurations and line shapes is especially ambiguous near the mass t…

✅ Mini hike & hike to our local hill.
Now on the couch, reading.
#isartal #lenggries #bayern #badtoelz

Series B, Episode 02 - Shadow
CALLY: Scan.
ZEN: Gun ship. It is manoeuvering for attack position.
CALLY: Warn them off.
ZEN: Warning ignored.
CALLY: Compute coordinates, range blasters.
ZEN: Blasters ranged.
https://blake.torpidity.net/m/202/277 B7B5

GUIPilot: A Consistency-based Mobile GUI Testing Approach for Detecting Application-specific Bugs
Ruofan Liu, Xiwen Teoh, Yun Lin, Guanjie Chen, Ruofei Ren, Denys Poshyvanyk, Jin Song Dong
https://arxiv.org/abs/2506.07385

GUIPilot: A Consistency-based Mobile GUI Testing Approach for Detecting Application-specific Bugs
In this work, we propose GUIPilot, an approach for detecting inconsistencies between the mobile design and their implementations. The mobile design usually consists of design mock-ups that specify (1) the expected screen appearances (e.g., widget layouts, colors, and shapes) and (2) the expected screen behaviors, regarding how one screen can transition into another (e.g., labeled widgets with textual description). Given a design mock-up and the implementation of its application, GUIPilot report…

#silentSunday #RockyMountainNationalPark
#sunrise in Moraine Park. October 2015

Regge trajectories, detectors, and distributions in the critical ${\rm O}(N)$ model
Yue-Zhou Li, David Simmons-Duffin
https://arxiv.org/abs/2506.06419 http…

Regge trajectories, detectors, and distributions in the critical ${\rm O}(N)$ model
We explore light-ray operators in the critical O$(N)$ model in the large-$N$ limit, focusing on leading-twist and leading ``horizontal" trajectories. We distinguish between light-ray operators in two conformal frames: detector operators, which characterize event shapes of final states, and distribution operators, which probe initial-state distributions. In particular, we identify parton distribution functions (PDFs) and collinear functions as matrix elements of appropriate distribution operator…

Giants, Supergiants and Hypergiants
Lee R. Patrick
https://arxiv.org/abs/2507.06970 https://arxiv.org/pdf/2507.06970

Giants, Supergiants and Hypergiants
Observing the stars in our night sky tells us that giant, supergiant and hypergiant stars hold an unique importance in the understanding of stellar populations. Theoretical stellar models predict a rich tapestry of evolved stars. These evolved stars result in supernova explosions for massive stars and the shedding of the outer layers of low- and intermediate-mass stars to form white dwarf stars. Stars on these pathways provide elemental and kinematic feedback that shapes their host galaxies and…

On the distribution of shapes of pure quartic number fields
Sudipa Das, Sushant Kala, Arunabha Mukhopadhyay, Anwesh Ray
https://arxiv.org/abs/2506.23766 ht…

On the distribution of shapes of pure quartic number fields
The shape of a number field is a subtle arithmetic invariant arising from the geometry of numbers. It is defined as the equivalence class of the lattice of integers with respect to linear operations that are composites of rotations, reflections, and positive scalar dilations. For a number field of degree $n$, the shape is a point in the space of shapes $\mathscr{S}_{n-1}$, which is the double quotient $GL_{n-1}(\mathbb{Z}) \backslash GL_{n-1}(\mathbb{R}) / GO_{n-1}(\mathbb{R})$. In this paper, …

What Shapes User Trust in ChatGPT? A Mixed-Methods Study of User Attributes, Trust Dimensions, Task Context, and Societal Perceptions among University Students
Kadija Bouyzourn, Alexandra Birch
https://arxiv.org/abs/2507.05046

What Shapes User Trust in ChatGPT? A Mixed-Methods Study of User Attributes, Trust Dimensions, Task Context, and Societal Perceptions among University Students
This mixed-methods inquiry examined four domains that shape university students' trust in ChatGPT: user attributes, seven delineated trust dimensions, task context, and perceived societal impact. Data were collected through a survey of 115 UK undergraduate and postgraduate students and four complementary semi-structured interviews. Behavioural engagement outweighed demographics: frequent use increased trust, whereas self-reported understanding of large-language-model mechanics reduced it. Among…

Topological Sequence Analysis of Genomes: Delta Complex approaches
Jian Liu, Li Shen, Dong Chen, Guo-Wei Wei
https://arxiv.org/abs/2507.05452 https://

Topological Sequence Analysis of Genomes: Delta Complex approaches
Algebraic topology has been widely applied to point cloud data to capture geometric shapes and topological structures. However, its application to genome sequence analysis remains rare. In this work, we propose topological sequence analysis (TSA) techniques by constructing $Δ$-complexes and classifying spaces, leading to persistent homology, and persistent path homology on genome sequences. We also develop $Δ$-complex-based persistent Laplacians to facilitate the topological spectral analysis…

Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments
Matteo Guida, Yulia Otmakhova, Eduard Hovy, Lea Frermann
https://arxiv.org/abs/2507.04612

Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments
When a news article describes immigration as an "economic burden" or a "humanitarian crisis," it selectively emphasizes certain aspects of the issue. Although \textit{framing} shapes how the public interprets such issues, audiences do not absorb frames passively but actively reorganize the presented information. While this relationship between source content and audience response is well-documented in the social sciences, NLP approaches often ignore it, detecting frames in articles and response…

Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation
Chuhao Chen, Zhiyang Dou, Chen Wang, Yiming Huang, Anjun Chen, Qiao Feng, Jiatao Gu, Lingjie Liu
https://arxiv.org/abs/2506.06440

Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation
Faithfully reconstructing textured shapes and physical properties from videos presents an intriguing yet challenging problem. Significant efforts have been dedicated to advancing such a system identification problem in this area. Previous methods often rely on heavy optimization pipelines with a differentiable simulator and renderer to estimate physical parameters. However, these approaches frequently necessitate extensive hyperparameter tuning for each scene and involve a costly optimization p…

An explanation of the number or points and symmetries of starbursts
Sergio Barbero, Antonia M. Delgado, Lidia Fern\'andez
https://arxiv.org/abs/2507.06170

An explanation of the number or points and symmetries of starbursts
Starbursts are the light intensity patterns seen when small bright sources are looked at night, typically stars. Starburst shapes are produced when the presence of the eye's wave aberrations generates caustics (light concentration) at the retina. A fascinating, but never explained fact about starbursts is that they usually present a $p$-fold symmetry pattern. We provide a theoretical explanation of the number of points and symmetries of starbursts, based on the geometric and algebraic propertie…

#ndwgoecountdown Weltraum zum Staunen und Mitmachen
Unterhaltsame Shows für Kinder zum Zuschauen und Mitmachen bieten die Promovierenden des MPI für Sonnensystemforschung. Darin erforschen die Zuschauer*innen das Sonnensystem, erkunden die Oberfläche des Mars, wagen einen „Weltraumspaziergang“ und helfen dabei, unsere nächste Weltraummission zu planen.
Kommt gerne 18:00 …

On the Media: Ensh*ttification, Live! Micah and Cory Doctorow in Conversation
Episode webpage: https://www.wnycstudios.org/podcasts/otm
Media file

On the Media: Listen | WNYC Studios | Podcasts
WNYC’s weekly investigation into how the media shapes our worldview. 

Nobody likes my coffee :)

Planets larger than Neptune have elevated eccentricities
Gregory J. Gilbert, Erik A. Petigura, Paige M. Entrican
https://arxiv.org/abs/2507.07840 https://

Planets larger than Neptune have elevated eccentricities
NASA's Kepler mission identified over 4000 extrasolar planets that transit (cross in front of) their host stars. This sample has revealed detailed features in the demographics of planet sizes and orbital spacings. However, knowledge of their orbital shapes - a key tracer of planetary formation and evolution - remains far more limited. We present measurements of eccentricities for 1646 Kepler planets, 92% of which are smaller than Neptune. For all planet sizes, the eccentricity distribution peak…

Large-eddy simulations of heat transfer from iced surfaces
Federico Zabaleta, Brett Bornhoft, Suhas S. Jain, Sanjeeb T. Bose, Parviz Moin
https://arxiv.org/abs/2506.08413

Large-eddy simulations of heat transfer from iced surfaces
Accurate modeling of ice accretion is important for the safe and efficient design of aircraft and wind turbine systems. Heat transfer predictions obtained from the fluid flow solvers are used as input in ice accretion codes. In glaze ice conditions, the freezing rates and resulting ice shapes are highly sensitive to the input values of the heat transfer coefficient. Hence, an accurate prediction of heat transfer on iced airfoils is crucial for correctly predicting the ice accretion process [1, …

RUBIES: A Spectroscopic Census of Little Red Dots; All V-Shaped Point Sources Have Broad Lines
Raphael E. Hviding, Anna de Graaff, Tim B. Miller, David J. Setton, Jenny E. Greene, Ivo Labb\'e, Gabriel Brammer, Rachel Bezanson, Leindert A. Boogaard, Nikko J. Cleri, Joel Leja, Michael V. Maseda, Ian McConachie, Jorryt Matthee, Rohan P. Naidu, Pascal A. Oesch, Bingjie Wang, Katherine E. Whitaker, Christina Williams

RUBIES: A Spectroscopic Census of Little Red Dots; All V-Shaped Point Sources Have Broad Lines
The physical nature of Little Red Dots (LRDs) - a population of compact, red galaxies revealed by JWST - remains unclear. Photometric samples are constructed from varying selection criteria with limited spectroscopic follow-up available to test intrinsic spectral shapes and prevalence of broad emission lines. We use the RUBIES survey, a large spectroscopic program with wide color-morphology coverage and homogeneous data quality, to systematically analyze the emission-line kinematics, spectral s…

Site-Specific Parameterization of Ocean Spectra for Power Estimates of Wave Energy Converters
Rafael Baez Ramirez (Sandia National Laboratories), Ethan J. Sloan (University of New Mexico), Carlos Alejandro Michel\'en Str\"ofer (Sandia National Laboratories)
https://arxiv.org/abs/2507.05440…

Site-Specific Parameterization of Ocean Spectra for Power Estimates of Wave Energy Converters
Estimating the mean annual power of a wave energy converter (WEC) through the method of bins relies on a parametric representation of all possible sea states. In practice, two-parameter spectra based on significant wave height and energy period are ubiquitous. Two-parameter spectra have been shown insufficient in capturing the range of spectral shapes that can occur in an actual ocean environment. Furthermore, through sensitivity analysis, these two-parameters have been shown to be insufficient…

Surface Minkowski tensors to characterize shapes on curved surfaces
Lea Happel, Hanne Hardering, Simon Praetorius, Axel Voigt
https://arxiv.org/abs/2506.13880

Surface Minkowski tensors to characterize shapes on curved surfaces
We introduce surface Minkowski tensors to characterize rotational symmetries of shapes embedded in curved surfaces. The definition is based on a modified vector transport of the shapes boundary co-normal into a reference point which accounts for the angular defect that a classical parallel transport would introduce. This modified transport can be easily implemented for general surfaces and differently defined embedded shapes, and the associated irreducible surface Minkowski tensors give rise to…

Line shapes in time- and angle-resolved photoemission spectroscopy explored by machine learning
Tami C. Meyer, Gesa-R. Siemann, Paulina Majchrzak, Thomas Seyller, Jennifer Rigden, Yu Zhang, Emma Springate, Charlotte Sanders, Philip Hofmann
https://arxiv.org/abs/2506.02137

Line shapes in time- and angle-resolved photoemission spectroscopy explored by machine learning
Time- and angle-resolved photoemission spectroscopy is a powerful technique for investigating the dynamics of excited carriers in quantum materials. Typically, data analysis proceeds via the inspection of time distribution curves (TDCs), which represent the time-dependent photoemission intensity in a region of interest -- often chosen somewhat arbitrarily -- in energy-momentum space. Here, we employ $k$-means, an unsupervised machine learning technique, to systematically investigate trends in T…

This https://arxiv.org/abs/2409.06291 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Optimization of Embedded Element Patterns of Reactively Loaded Antenna Arrays
This paper introduces a framework for synthesizing reactively loaded antennas and antenna arrays. The framework comprises two main components: computing the fundamental bound using the semi-definite relaxation and finding a realizable solution via optimization on a Riemannian manifold. The embedded element patterns are subject to the optimization with two distinct goals under study: focusing the radiation in a single direction or synthesizing patterns with desired shapes. The reactive terminati…

End-to-End Framework for Robot Lawnmower Coverage Path Planning using Cellular Decomposition
Nikunj Shah, Utsav Dey, Kenji Nishimiya
https://arxiv.org/abs/2506.06028

End-to-End Framework for Robot Lawnmower Coverage Path Planning using Cellular Decomposition
Efficient Coverage Path Planning (CPP) is necessary for autonomous robotic lawnmowers to effectively navigate and maintain lawns with diverse and irregular shapes. This paper introduces a comprehensive end-to-end pipeline for CPP, designed to convert user-defined boundaries on an aerial map into optimized coverage paths seamlessly. The pipeline includes user input extraction, coordinate transformation, area decomposition and path generation using our novel AdaptiveDecompositionCPP algorithm, pr…

Slid the dust jacket off Nnedi Okorafor’s “Death of the Author” to reveal a full-color cover for “Rusted Robots.”
From what I know about the book (just starting it tonight), I really like this design choice.

Early linguistic fingerprints of online users who engage with conspiracy communities
Francesco Corso, Giuseppe Russo, Francesco Pierri, Gianmarco De Francisci Morales
https://arxiv.org/abs/2506.05086

Early linguistic fingerprints of online users who engage with conspiracy communities
Online social media platforms are often seen as catalysts for radicalization, as they provide spaces where extreme beliefs can take root and spread, sometimes leading to real-world consequences. Conspiracy theories represent a specific form of radicalization that is notoriously resistant to online moderation strategies. One explanation for this resilience is the presence of a "conspiratorial mindset", a cognitive framework that fundamentally shapes how conspiracy believers perceive reality. How…

Unit lattices of $D_4$-quartic number fields with signature $(2,1)$
Sergio Ricardo Zapata Ceballos, Sara Chari, Erik Holmes, Fatemeh Jalalvand, Rahinatou Yuh Njah Nchiwo, Kelly O'Connor, Fabian Ramirez, Sameera Vemulapalli
https://arxiv.org/abs/2507.06130

Unit lattices of $D_4$-quartic number fields with signature $(2,1)$
There has been a recent surge of interest on distributions of shapes of unit lattices in number fields, due to both their applications to number theory and the lack of known results. In this work we focus on $D_4$-quartic fields with signature $(2,1)$; such fields have a rank $2$ unit group. Viewing the unit lattice as a point of $GL_2(\mathbb{Z})\backslash \mathfrak{h}$, we prove that every lattice which arises this way must correspond to a transcendental point on the boundary of a certain f…

🇺🇦 #NowPlaying on #BBC6Music's #TheCraigCharlesFunkAndSoulShow
Elise & The Sugarsweets:
🎵 My Goddess got Shapes
#Elise #TheSugarsweets
https://sugarsweets.bandcamp.com/track/04-elise-sugarsweets-my-goddess-got-shapes
https://open.spotify.com/track/4WMZLMD0ElB0u9NzE7IkzG

PDE methods for extracting normal vector fields and distance functions of shapes
Takahiro Hasebe, Jun Masamune, Hiroshi Teramoto, Takayuki Yamada
https://arxiv.org/abs/2506.19323 …

PDE methods for extracting normal vector fields and distance functions of shapes
Partial differential equations can be used for extracting geometric features of shapes. This article summarizes recent methods to extract the normal vector field from an elliptic equation proposed by Yamada and from the heat equation, and also a method to extract the (signed) distance function from an elliptic equation that generalizes Varadhan's in 1967.

"At De Gruyter Brill, we are committed to supporting rigorous academic research that drives meaningful change. As part of this vision and mission, we have launched "Sustainability Matters" - a podcast exploring how #sustainability shapes #research,

Modelling the selection of galaxy groups with end to end simulations
R. Seppi, D. Eckert, A. Finoguenov, S . Shreeram, E. Tempel, G. Gozaliasl, M. Lorenz, J. Wilms, G. A. Mamon, F. Gastaldello, L. Lovisari, E. O'Sullivan, K. Kolokythas, M. A. Bourne, M. Sun, A. Pillepich
https://arxiv.org/abs/2506.04757

Modelling the selection of galaxy groups with end to end simulations
Feedback from supernovae and AGN shapes galaxy formation and evolution, yet its impact remains unclear. Galaxy groups offer a crucial probe, as their binding energy is comparable to that available from their central AGN. The XMM-Newton Group AGN Project (X-GAP) is a sample of 49 groups selected in X-ray (ROSAT) and optical (SDSS) bands, providing a benchmark for hydrodynamical simulations. In sight of such a comparison, understanding selection effects is essential. We aim to model the selection…

Things that don’t Develop III 🧪
不显影的那些东西 III 🧪
📷 Pentax MX
🎞️Lucky SHD 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.

I want to know if pasta comes in (lowers voice) naughty shapes.

Nonlinear elastodynamic material identification of heterogeneous isogeometric Bernoulli-Euler beams
Bart{\l}omiej {\L}azorczyk, Roger A. Sauer
https://arxiv.org/abs/2506.04960

Nonlinear elastodynamic material identification of heterogeneous isogeometric Bernoulli-Euler beams
This paper presents a Finite Element Model Updating framework for identifying heterogeneous material distributions in planar Bernoulli-Euler beams based on a rotation-free isogeometric formulation. The procedure follows two steps: First, the elastic properties are identified from quasi-static displacements; then, the density is determined from modal data (low frequencies and mode shapes), given the previously obtained elastic properties. The identification relies on three independent discretiza…

Tube into pearls: A membrane-driven pearling instability shapes platelet biogenesis
C. L\'eon, N. Brassard-Jollive, D. Gonzalez-Rodriguez, D. Riveline
https://arxiv.org/abs/2506.19966

Tube into pearls: A membrane-driven pearling instability shapes platelet biogenesis
At the end of the 19th century, Rayleigh and Plateau explained the physical principle behind the fragmentation of a liquid jet into regular droplets commonly observed in everyday life from a faucet. The classical Rayleigh-Plateau instability concerns liquid jets governed by inertia and surface tension, whereas biological tubes are membrane-bounded and inertia-free. We therefore refer to the process observed here as a pearling instability, formally analogous to Rayleigh-Plateau but dominated by …

Doubly weak double categories
Aaron David Fairbanks, Michael Shulman
https://arxiv.org/abs/2506.23651 https://arxiv.org/pdf/2506.2365…

Doubly weak double categories
We propose a definition of double categories whose composition of 1-cells is weak in both directions. Namely, a doubly weak double category is a double computad -- a structure with 2-cells of all possible double-categorical shapes -- equipped with all possible composition operations, coherently. We also characterize them using "implicit" double categories, which are double computads having all possible compositions of 2-cells, but no compositions of 1-cells; doubly weak double categories are th…

@… I just skipped these until I failed some worse and then had to do shapes 🤦

Learning a foreign language in older adults shapes the functional connectivity of distinct cerebellar sub-regions with cortical areas rich in CB1 receptor expression https://onlinelibrary.wiley.com/doi/10.1002/brb3.70565

Dear @… ,
I get that you need to FOCUS, but I'm personally bummed you are killing off #Pocket, as it's a service I use pretty much ** every single day! ** 😞 (I don't care about Fakespot )
But please... literally *** NO ONE *** is asking for mor…

Investing in what moves the internet forward | The Mozilla Blog
Firefox is the only major browser not backed by a billionaire and our independence shapes everything we build. This independence allows us to prioritize bu

An intrinsic-state formalism for the Interacting Boson-Fermion Model with configuration mixing
E. Maya-Barbecho, J. E. Garc\'ia-Ramos
https://arxiv.org/abs/2507.05650

An intrinsic-state formalism for the Interacting Boson-Fermion Model with configuration mixing
In this letter, we present the intrinsic state formalism of the Interacting Boson-Fermion Model incorporating both 0p-0h and 2p-2h (regular and intruder) configurations. The framework allows to deal with the unpaired fermion in either a single-j or multi-j orbital and is applicable to both axial and triaxial nuclear shapes. The formalism is applied to a schematic transitional region where regular and intruder configurations coexist and cross. We show that the boson-fermion part of the Hamiltoni…

This https://arxiv.org/abs/2312.03940 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDS_…

PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search
This paper studies density-based clustering of point sets. These methods use dense regions of points to detect clusters of arbitrary shapes. In particular, we study variants of density peaks clustering, a popular type of algorithm that has been shown to work well in practice. Our goal is to cluster large high-dimensional datasets, which are prevalent in practice. Prior solutions are either sequential, and cannot scale to large data, or are specialized for low-dimensional data. This paper unif…

How the spin-phase variability of cyclotron lines shapes the pulsed fraction spectra: insights from 4U 1538-52
Dimitrios K. Maniadakis, Ekaterina Sokolova-Lapa, Antonino D'A\`i, Elena Ambrosi, Carlo Ferrigno, Giancarlo Cusumano, Alessio Anitra, Luciano Burderi, Melania Del Santo, Tiziana Di Salvo, Felix F\"urst, Rosario Iaria, Valentina La Parola, Christian Malacaria, Peter Kretschmar, Fabio Pintore, Ciro Pinto, Guillermo Andres Rodriguez Castillo

How the spin-phase variability of cyclotron lines shapes the pulsed fraction spectra: insights from 4U 1538-52
We study the energy-dependent pulse profile of 4U 1538-52 and its phase-dependent spectral variability, with emphasis on the behavior around the cyclotron resonant scattering feature at around 21 keV. We analyze all available NuSTAR observations of 4U 1538-52. We decompose energy-resolved pulse profiles into Fourier harmonics to study their energy dependence. Specifically, we compute pulsed fraction spectra, cross-correlation and lag spectra, identifying discontinuities and linking them to feat…

Sometimes #Strands gameplay can feel a little rote, but I find puzzles like today’s that have unusual shapes to be much more energizing.
#Strands482
“... not included”
🟡🔵🔵🔵
🔵🔵

Things that don’t Develop III 🧪
不显影的那些东西 III 🧪
📷 Pentax MX
🎞️Lucky SHD 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.

Halogen abundance evidence for the formation and metasomatism of the primary lunar crust: #moon –> new clues about formation.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes
Saqib Nazir (UNICAEN), Olivier L\'ezoray (UNICAEN), S\'ebastien Bougleux (UNICAEN)
https://arxiv.org/abs/2507.05304

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes
3D meshes are fundamental data representations for capturing complex geometric shapes in computer vision and graphics applications. While Convolutional Neural Networks (CNNs) have excelled in structured data like images, extending them to irregular 3D meshes is challenging due to the non-Euclidean nature of the data. Graph Convolutional Networks (GCNs) offer a solution by applying convolutions to graph-structured data, but many existing methods rely on isotropic filters or spectral decompositio…

Learning Agile Tensile Perching for Aerial Robots from Demonstrations
Kangle Yuan, Atar Babgei, Luca Romanello, Hai-Nguyen Nguyen, Ronald Clark, Mirko Kovac, Sophie F. Armanini, Basaran Bahadir Kocer
https://arxiv.org/abs/2507.06172

Learning Agile Tensile Perching for Aerial Robots from Demonstrations
Perching on structures such as trees, beams, and ledges is essential for extending the endurance of aerial robots by enabling energy conservation in standby or observation modes. A tethered tensile perching mechanism offers a simple, adaptable solution that can be retrofitted to existing robots and accommodates a variety of structure sizes and shapes. However, tethered tensile perching introduces significant modelling challenges which require precise management of aerial robot dynamics, includi…

Observable Covariance and Principal Observable Analysis for Data on Metric Spaces
Ece Karacam, Washington Mio, Osman Berat Okutan
https://arxiv.org/abs/2506.04003

Observable Covariance and Principal Observable Analysis for Data on Metric Spaces
Datasets consisting of objects such as shapes, networks, images, or signals overlaid on such geometric objects permeate data science. Such datasets are often equipped with metrics that quantify the similarity or divergence between any pair of elements turning them into metric spaces $(X,d)$, or a metric measure space $(X,d,μ)$ if data density is also accounted for through a probability measure $μ$. This paper develops a Lipschitz geometry approach to analysis of metric measure spaces based on…

Centaur Nuclei: Sizes, Shapes, Spins, and Structure
Y. R. Fernandez, M. W. Buie, P. Lacerda, R. Marschall
https://arxiv.org/abs/2506.04483 https://

Centaur Nuclei: Sizes, Shapes, Spins, and Structure
We present a wide-ranging but in-depth analysis of Centaurs, focusing on their physical and structural aspects. Centaurs, originating from the Scattered Disk and Kuiper Belt, play a crucial role in our understanding of Solar System evolution. We first examine how biases in discovery and measurement affect our understanding of the Centaur size distribution. In particular we address the strong dependence of the census on perihelion distance and the broad distribution of Centaur geometric albedos.…

This https://arxiv.org/abs/2409.02500 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Geometry of chiral temporal structures I: Physical effects
In non-relativistic physics, the concepts of geometry and topology are usually applied to characterize spatial structures or structures in momentum space. We introduce the concept of temporal geometry, which encompasses the geometric and topological properties of temporal shapes, i.e. trajectories traced by the tip of a time-dependent vector in vector space. We apply it to vectors describing ultrafast electron currents or induced polarization in chiral molecules. The central concepts of tempora…

Midveins regulate the shape formation of drying leaves
Kexin Guo, Yafei Zhang, Massimo Paradiso, Yuchen Long, K. Jimmy Hsia, Mingchao Liu
https://arxiv.org/abs/2507.01813

Midveins regulate the shape formation of drying leaves
Dried leaves in nature often exhibit curled and crumpled morphologies, typically attributed to internal strain gradients that produce dome-like shapes. However, the origin of these strain gradients remains poorly understood. Although leaf veins--particularly the midvein--have been suggested to influence shape formation, their mechanical role has not been systematically investigated. Here, we demonstrate that mechanical constraints imposed by the midvein play a crucial role in generating the div…

Undecidability of Translational Tiling of the Plane with Orthogonally Convex Polyominoes
Chao Yang, Zhujun Zhang
https://arxiv.org/abs/2506.12726 https://

Undecidability of Translational Tiling of the Plane with Orthogonally Convex Polyominoes
The first undecidability result on the tiling is the undecidability of translational tiling of the plane with Wang tiles, where there is an additional color matching requirement. Later, researchers obtained several undecidability results on translational tiling problems where the tilings are subject to the geometric shapes of the tiles only. However, all these results are proved by constructing tiles with extremely concave shapes. It is natural to ask: can we obtain undecidability results of tr…

This https://arxiv.org/abs/2410.24191 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Flexible Demand Manipulation
We develop a simple framework to analyze how targeted persuasive advertising shapes market power and welfare. A designer flexibly manipulates the demand curve by influencing individual valuations at a cost. A monopolist prices against this manipulated demand curve. We fully characterize the form of optimal advertising plans under ex-ante and ex-post welfare measures. Flexibility per se is powerful, and can substantially harm or benefit consumers vis-a-vis uniform advertising. We discuss implica…

#FensterFreitag
Windows of MPs of the Scottish parliament building in Edinburgh
#architecture #architecturePhotography

Doubly robust estimation of causal effects for random object outcomes with continuous treatments
Satarupa Bhattacharjee, Bing Li, Xiao Wu, Lingzhou Xue
https://arxiv.org/abs/2506.22754

Doubly robust estimation of causal effects for random object outcomes with continuous treatments
Causal inference is central to statistics and scientific discovery, enabling researchers to identify cause-and-effect relationships beyond associations. While traditionally studied within Euclidean spaces, contemporary applications increasingly involve complex, non-Euclidean data structures that reside in abstract metric spaces, known as random objects, such as images, shapes, networks, and distributions. This paper introduces a novel framework for causal inference with continuous treatments ap…

Topological Optical Achirality
C. Wen, Z. Qi, J. Zhang, C. Zhang, S. Qin, Z. Zhu, W. Liu
https://arxiv.org/abs/2507.00662 https://arx…

Topological Optical Achirality
For arbitrary reciprocal single-mode structures, regardless of their geometric shapes or constituent materials, there must exist incident directions of plane waves for which they are optically achiral.

The DuSable Black History Museum and Education Center, a must if you visit #Chicago. A current exhibition is selections from the corporate art collection of the former Johnson Publishing Company, of EBONY and JET magazines.
Many other fantastic displays, including an animatronic Harold Washington!

Infected Smallville: How Disease Threat Shapes Sociality in LLM Agents
Soyeon Choi, Kangwook Lee, Oliver Sng, Joshua M. Ackerman
https://arxiv.org/abs/2506.13783

Infected Smallville: How Disease Threat Shapes Sociality in LLM Agents
How does the threat of infectious disease influence sociality among generative agents? We used generative agent-based modeling (GABM), powered by large language models, to experimentally test hypotheses about the behavioral immune system. Across three simulation runs, generative agents who read news about an infectious disease outbreak showed significantly reduced social engagement compared to agents who received no such news, including lower attendance at a social gathering, fewer visits to th…

Low-Perplexity LLM-Generated Sequences and Where To Find Them
Arthur Wuhrmann, Anastasiia Kucherenko, Andrei Kucharavy
https://arxiv.org/abs/2507.01844 htt…

Low-Perplexity LLM-Generated Sequences and Where To Find Them
As Large Language Models (LLMs) become increasingly widespread, understanding how specific training data shapes their outputs is crucial for transparency, accountability, privacy, and fairness. To explore how LLMs leverage and replicate their training data, we introduce a systematic approach centered on analyzing low-perplexity sequences - high-probability text spans generated by the model. Our pipeline reliably extracts such long sequences across diverse topics while avoiding degeneration, the…

Wav2Sem: Plug-and-Play Audio Semantic Decoupling for 3D Speech-Driven Facial Animation
Hao Li, Ju Dai, Xin Zhao, Feng Zhou, Junjun Pan, Lei Li
https://arxiv.org/abs/2505.23290

Wav2Sem: Plug-and-Play Audio Semantic Decoupling for 3D Speech-Driven Facial Animation
In 3D speech-driven facial animation generation, existing methods commonly employ pre-trained self-supervised audio models as encoders. However, due to the prevalence of phonetically similar syllables with distinct lip shapes in language, these near-homophone syllables tend to exhibit significant coupling in self-supervised audio feature spaces, leading to the averaging effect in subsequent lip motion generation. To address this issue, this paper proposes a plug-and-play semantic decorrelation …

This https://arxiv.org/abs/2412.08151 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Improving cosmological constraints via galaxy intrinsic alignment in full-shape analysis
The intrinsic alignment (IA) of galaxy shapes probes the underlying gravitational tidal field, thus offering cosmological information complementary to galaxy clustering. In this paper, we perform a Fisher forecast to assess the benefit of IA in improving cosmological parameter constraints, for the first time, leveraging the full-shape (FS) information of IA statistics. Our forecast is based on PFS-like and Euclid-like surveys as examples of deep and wide galaxy surveys, respectively. We explore…

This https://arxiv.org/abs/2505.20713 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A new class of aesthetic curves based on the self-affinity in equiaffine geometry
In this paper, we consider planar curves in equiaffine geometry and present a family of planar curves characterized by a symmetry called the extendable self-affinity (ESA). The ESA has been recognized through the investigation of the symmetry of the log-aesthetic curve (LAC), which has been studied as a reference for designing aesthetic shapes in CAGD and regarded as an analog of Euler's elastica in similarity geometry. Our new class, characterized by the ESA, includes the quadratic curve and t…

Elastohydrodynamics of 3D chemically active filaments
Matthew D Butler, Benjamin J Walker, Thomas Montenegro-Johnson, Panayiota Katsamba
https://arxiv.org/abs/2507.03586

Elastohydrodynamics of 3D chemically active filaments
Active deformable filaments exhibit a large range of qualitatively different three-dimensional dynamics, depending on their flexibility, the strength of the active forcing, and the surrounding environment. For a sufficiently strong activity, the resulting forces buckle the filament into different shapes, altering its dynamic behaviour. We investigate the dynamic behaviour of elastic, chemically propelled phoretic filaments, combining two existing models; a local version of slender phoretic theo…

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model
Bao Thach, Siyeon Kim, Britton Jordan, Mohanraj Shanthi, Tanner Watts, Shing-Hei Ho, James M. Ferguson, Tucker Hermans, Alan Kuntz
https://arxiv.org/abs/2506.18779

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model
Deformable object manipulation is critical to many real-world robotic applications, ranging from surgical robotics and soft material handling in manufacturing to household tasks like laundry folding. At the core of this important robotic field is shape servoing, a task focused on controlling deformable objects into desired shapes. The shape servoing formulation requires the specification of a goal shape. However, most prior works in shape servoing rely on impractical goal shape acquisition meth…

The ODYSSEUS Survey. Characterizing magnetospheric geometries and hotspot structures in T Tauri stars
Caeley V. Pittman, C. C. Espaillat, Connor E. Robinson, Thanawuth Thanathibodee, Sophia Lopez, Nuria Calvet, Zhaohuan Zhu, Frederick M. Walter, John Wendeborn, Carlo Felice Manara, Justyn Campbell-White, Rik A. Claes, Min Fang, Antonio Frasca, J. F. Gameiro, Manuele Gangi, Jesus Hern\'andez, \'Agnes K\'osp\'al, Karina Mauc\'o, James Muzerolle, Micha{\l} Siwak, {\L}u…

The ODYSSEUS Survey. Characterizing magnetospheric geometries and hotspot structures in T Tauri stars
Magnetospheric accretion is a key process that shapes the inner disks of T Tauri stars, controlling mass and angular momentum evolution. It produces strong ultraviolet and optical emission that irradiates the planet-forming environment. In this work, we characterize the magnetospheric geometries, accretion rates, extinction properties, and hotspot structures of 67 T Tauri stars in the largest and most consistent study of ultraviolet and optical accretion signatures to date. To do so, we apply a…

This https://arxiv.org/abs/2409.16349 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

No Evidence of a Dichotomy in the Elliptical Galaxy Population
The advent of large integral field spectroscopic surveys has found that elliptical galaxies (EGs) can be classified into two classes: the fast rotators (whose kinematics are dominated by rotation) and the slow rotators (which exhibit slow or no rotation pattern). It is often suggested that while the slow rotators typically have boxy isophotal shapes, have a high $α$-to-iron abundance ratio, and are quite massive, the fast rotators often exhibit the opposite properties (that is, having disky is…

This https://arxiv.org/abs/2312.11683 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Rigidity of Epithelial Tissues as a Double Optimization Problem
How do cells tune emergent properties at the scale of tissues? One class of such emergent behaviors are rigidity transitions, in which a tissue changes from a solid-like to a fluid-like state or vice versa. Here, we introduce a new way for a tissue described by a vertex model to tune its rigidity, by using ``tunable degrees of freedom." We use the vertex model elastic energy as a cost function and the cell stiffnesses, target shapes, and target areas as different sets of degrees of freedom desc…

Universal Radial Scaling of Large-Scale Black Hole Accretion for Magnetically Arrested And Rocking Accretion Disks
Aretaios Lalakos, Alexander Tchekhovskoy, Elias R. Most, Bart Ripperda, Koushik Chatterjee, Matthew Liska
https://arxiv.org/abs/2505.23888

Universal Radial Scaling of Large-Scale Black Hole Accretion for Magnetically Arrested And Rocking Accretion Disks
Accretion onto supermassive black holes (BHs) can launch relativistic jets that inject energy and momentum into their surroundings. Understanding how such feedback shapes large-scale accretion is key to bridging observations from galactic scales (e.g., the Bondi radius, $r_{\rm B}$) down to event horizon scales ($r_{\rm g}$), spanning 5-6 orders of magnitude. We tackle this challenge by varying the spatial scale separation across 2-4 orders of magnitude and performing some of the longest contig…

Learning Intrinsic Alignments from Local Galaxy Environments
Matthew Craigie, Eric Huff, Yuan-Sen Ting, Rossana Ruggeri, Tamara M. Davis
https://arxiv.org/abs/2506.05155

Learning Intrinsic Alignments from Local Galaxy Environments
We present DELTA (Data-Empiric Learned Tidal Alignments), a deep learning model that isolates galaxy intrinsic alignments (IAs) from weak lensing distortions using only observational data. The model uses an Equivariant Graph Neural Network backbone suitable for capturing information from the local galaxy environment, in conjunction with a probabilistic orientation output. Unlike parametric models, DELTA flexibly learns the relationship between galaxy shapes and their local environments, without…

"Moral appraisals of generative #AI: How mindset framing shapes moral judgments, emotional appraisals and privacy behavior" https://doi.org/10.1016/j.ijinfomgt.2025.102940…

This https://arxiv.org/abs/2504.13373 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Geometric adaptive smoothed aggregation multigrid for discontinuous Galerkin discretisations
We present a geometric multigrid solver based on adaptive smoothed aggregation suitable for Discontinuous Galerkin (DG) discretisations. Mesh hierarchies are formed via domain decomposition techniques, and the method is applicable to fully unstructured meshes using arbitrary element shapes. Furthermore, the method can be employed for a wide range of commonly used DG numerical fluxes for first- and second-order PDEs including the Interior Penalty and the Local Discontinuous Galerkin methods. We …

🇺🇦 #NowPlaying on #BBC6Music's #Glastonbury
Pulp:
🎵 Mis-Shapes (Glastonbury Festival, 28 Jun 2025)
#Pulp
https://billwhite.bandcamp.com/track/cover-mis-shapes
https://open.spotify.com/track/7IgHTB9VMPwziPobbBbgfq

Isoprobability Models of Qubit Dynamics: Demonstration via Time-Dependent Phase Control on IBM Quantum
Ivo S. Mihov, Nikolay V. Vitanov
https://arxiv.org/abs/2506.19572

Isoprobability Models of Qubit Dynamics: Demonstration via Time-Dependent Phase Control on IBM Quantum
Efficient quantum control is a cornerstone for the advancement of quantum technologies, from computation to sensing and communications. Several approaches in quantum control, e.g. optimal control and inverse engineering, use the pulse amplitude and frequency shaping as the control tools. Often, these approaches prescribe pulse shapes which are difficult or impossible to implement. To this end, we develop the concept of isoprobability classes of models of qubit dynamics, in which various pairs o…

Aggregation of vortex structures in 2D: the blob-wave system and its role in zonal flows
Franco Flandoli, Matteo Palmieri, Milo Viviani
https://arxiv.org/abs/2505.22700

Aggregation of vortex structures in 2D: the blob-wave system and its role in zonal flows
We give a rigorous mathematical result, supported by accurate numerical simulations, of the aggregation of a concentrated vortex blob with an underlying non constant vorticity field: the blob moves in the direction of the gradient of the field. It is a unique example of Lagrangian explanation of aggregation of vortex structures of the same sign in 2D inviscid fluids. A conceptual model of zonal flow maintenance and modulation based on this idea is then developed, which produces shapes in accord…

Natura Urbana XII 🏡
城市自然 XII 🏡
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1995
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Hand Shadow Art: A Differentiable Rendering Perspective
Aalok Gangopadhyay, Prajwal Singh, Ashish Tiwari, Shanmuganathan Raman
https://arxiv.org/abs/2505.21252

Hand Shadow Art: A Differentiable Rendering Perspective
Shadow art is an exciting form of sculptural art that produces captivating artistic effects through the 2D shadows cast by 3D shapes. Hand shadows, also known as shadow puppetry or shadowgraphy, involve creating various shapes and figures using your hands and fingers to cast meaningful shadows on a wall. In this work, we propose a differentiable rendering-based approach to deform hand models such that they cast a shadow consistent with a desired target image and the associated lighting configur…

This https://arxiv.org/abs/2310.13245 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

MultiDLO: Simultaneous Shape Tracking of Multiple Deformable Linear Objects with Global-Local Topology Preservation
MultiDLO is a real-time algorithm for estimating the shapes of multiple, intertwining deformable linear objects (DLOs) from RGB-D image sequences. Unlike prior methods that track only a single DLO, MultiDLO simultaneously handles several objects. It uses the geodesic distance in the Global-Local Topology Preservation algorithm to define both inter-object identity and intra-object topology, ensuring entangled DLOs remain distinct with accurate local geometry. The MultiDLO algorithm is demonstrat…

Cell-Scale Dynamic Modeling of Membrane Interactions with Arbitrarily Shaped Particles
Didarul Ahasan Redwan, Justin Reicher, Xin Yong
https://arxiv.org/abs/2506.02376

Cell-Scale Dynamic Modeling of Membrane Interactions with Arbitrarily Shaped Particles
Modeling membrane interactions with arbitrarily shaped colloidal particles, such as environmental micro- and nanoplastics, at the cell scale remains particularly challenging, owing to the complexity of particle geometries and the need to resolve fully coupled translational and rotational dynamics. Here, we present a force-based computational framework capable of capturing dynamic interactions between deformable lipid vesicles and rigid particles of irregular shapes. Both vesicle and particle su…

Urban Snaps II 📸
城市抓拍 II 📸
📷 Pentax MX
🎞️Fujifilm Neopan SS, expired 1995
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MISCGrasp: Leveraging Multiple Integrated Scales and Contrastive Learning for Enhanced Volumetric Grasping
Qingyu Fan, Yinghao Cai, Chao Li, Chunting Jiao, Xudong Zheng, Tao Lu, Bin Liang, Shuo Wang
https://arxiv.org/abs/2507.02672

MISCGrasp: Leveraging Multiple Integrated Scales and Contrastive Learning for Enhanced Volumetric Grasping
Robotic grasping faces challenges in adapting to objects with varying shapes and sizes. In this paper, we introduce MISCGrasp, a volumetric grasping method that integrates multi-scale feature extraction with contrastive feature enhancement for self-adaptive grasping. We propose a query-based interaction between high-level and low-level features through the Insight Transformer, while the Empower Transformer selectively attends to the highest-level features, which synergistically strikes a balanc…

This https://arxiv.org/abs/2405.03024 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

CMB low multipole alignments across WMAP and \emph{Planck} data releases
The first observations of the cosmic microwave background (CMB) from NASA's \emph{Wilkinson Microwave Anisotropy Probe} (WMAP) led to finding `alignment' anomalies not expected from fluctuations in the isotropic cosmological model. We study the data of all 8 full-sky public releases since then to test for anomalous alignments and shapes of the first 60 multipoles, i.e., over the range $2\leq l \leq 61$. We use rotationally invariant and covariant statistics to test isotropy of all subsequent WM…

One Does Not Simply 'Mm-hmm': Exploring Backchanneling in the AAC Micro-Culture
Tobias Weinberg, Claire O'Connor, Ricardo E. Gonzalez Penuela, Stephanie Valencia, Thijs Roumen
https://arxiv.org/abs/2506.17890

One Does Not Simply 'Mm-hmm': Exploring Backchanneling in the AAC Micro-Culture
Backchanneling (e.g., "uh-huh", "hmm", a simple nod) encompasses a big part of everyday communication; it is how we negotiate the turn to speak, it signals our engagement, and shapes the flow of our conversations. For people with speech and motor impairments, backchanneling is limited to a reduced set of modalities, and their Augmentative and Alternative Communication (AAC) technology requires visual attention, making it harder to observe non-verbal cues of conversation partners. We explore how…

Robotic Manipulation of a Rotating Chain with Bottom End Fixed
Qi Jing Chen, Shilin Shan, Quang-Cuong Pham
https://arxiv.org/abs/2506.18355 https://…

Robotic Manipulation of a Rotating Chain with Bottom End Fixed
This paper studies the problem of using a robot arm to manipulate a uniformly rotating chain with its bottom end fixed. Existing studies have investigated ideal rotational shapes for practical applications, yet they do not discuss how these shapes can be consistently achieved through manipulation planning. Our work presents a manipulation strategy for stable and consistent shape transitions. We find that the configuration space of such a chain is homeomorphic to a three-dimensional cube. Using …

This https://arxiv.org/abs/2405.14979 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGR_…

CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner
We present a novel generative 3D modeling system, coined CraftsMan, which can generate high-fidelity 3D geometries with highly varied shapes, regular mesh topologies, and detailed surfaces, and, notably, allows for refining the geometry in an interactive manner. Despite the significant advancements in 3D generation, existing methods still struggle with lengthy optimization processes, irregular mesh topologies, noisy surfaces, and difficulties in accommodating user edits, consequently impeding t…

Helical flows spontaneously generated by salt fingers
Adrian E. Fraser, Adrian van Kan, Edgar Knobloch, Keith Julien, Chang Liu
https://arxiv.org/abs/2506.22581

Helical flows spontaneously generated by salt fingers
We study the dynamics of salt fingers in the regime of slow salinity diffusion (small inverse Lewis number) and strong stratification (large density ratio), focusing on regimes relevant to Earth's oceans. Using three-dimensional direct numerical simulations in periodic domains, we show that salt fingers exhibit rich, multiscale dynamics in this regime, with vertically elongated fingers that are twisted into helical shapes at large scales by mean flows and disrupted at small scales by isotropic …

Real-Time 3D Guidewire Reconstruction from Intraoperative DSA Images for Robot-Assisted Endovascular Interventions
Tianliang Yao, Bingrui Li, Bo Lu, Zhiqiang Pei, Yixuan Yuan, Peng Qi
https://arxiv.org/abs/2506.21631

Real-Time 3D Guidewire Reconstruction from Intraoperative DSA Images for Robot-Assisted Endovascular Interventions
Accurate three-dimensional (3D) reconstruction of guidewire shapes is crucial for precise navigation in robot-assisted endovascular interventions. Conventional 2D Digital Subtraction Angiography (DSA) is limited by the absence of depth information, leading to spatial ambiguities that hinder reliable guidewire shape sensing. This paper introduces a novel multimodal framework for real-time 3D guidewire reconstruction, combining preoperative 3D Computed Tomography Angiography (CTA) with intraopera…

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Urban Rhythms II 🎵
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📷 Pentax MX
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