Tootfinder

Most of the time you have to see thru other peoples' eyes to truly see their pain...
#AIart #MidJourneyArt #MidjourneyAI

Ooh I like this account - random selections of works from the Dutch Rijksmuseum
https://botsin.space/@rijksmuseum/112034423048565407
@…

Full screen Youtube sometimes puts pillars on the sides if the image doesn't fill the screen. But those pillars aren't solid black, they're a very slight gradient that posterizes. And animates, so you have distracting flickering on the sides.
Screenshot of a pillar has the contrast boosted to highlight the posterizing. It's more subtle in reality but is visible, particularly when it moves.

Dog walking. #bw #seascape #Photography
https://…

Beach
Microblog posting from 14 Apr 2024 at 22:13:02 +01:00.

AI uncovers climate change denial hotspots across the US
Scientists at the University of Michigan, have profiled climate change denialism across the United States using artificial intelligence and network analysis. They find that a large proportion of Americans do not believe in climate change.
Twitter data analysis revealed that about 14.8% of Americans do not believe in climate change. The highest prevalence of denialism was noticed in the Central and Southern US. In contrast, …

AI uncovers climate change denial hotspots across the US
A University of Michigan study using AI and Twitter data analysis reveals that approximately 15% of Americans deny climate change, with denialism prevalent in Central and Southern US and influenced by political affiliation, education, and belief in science.

Some INCREDIBLE photos from nine inch nails' Self Destruct tour 1994-1995 taken by Jonathan Rach.
THIS is the aesthetic. This right here.
#90s #industrial #90sMusic

Explanations of MTF discrepancy in grating-based X-ray differential phase contrast CT imaging
Yuhang Tan, Jiecheng Yang, Hairong Zheng, Dong Liang, Peiping Zhu, Yongshuai Ge
https://arxiv.org/abs/2404.08882

Explanations of MTF discrepancy in grating-based X-ray differential phase contrast CT imaging
As a multi-contrast X-ray computed tomography (CT) imaging system, the grating-based Talbot-Lau interferometer is able to generate the absorption contrast and differential phase contrast (DPC) images concurrently. However, experiments found that the absorption CT (ACT) images have better spatial resolution, i.e., higher modulation transfer function (MTF), than the differential phase contrast CT (DPCT) images. Until now, the root cause of such observed discrepancy has not been rigorously investi…

"'[…] Good navigators, it appears, are mostly made, not born.
[…] Country folk did better, on average, than people from cities.[…]
Nordic countries, for example, where gender equality is greatest, show almost no gender difference in navigation. In contrast, men far outperform women in places where women face cultural restrictions on exploring their environment on their own, such as Middle Eastern countries.'"

•••Rearranged curtains. The Computer Suite is an air conditioned bubble now.
•••Cut cattails so the concrete path would look neater, and furthermore pulled the weeds directly in front. The rest of the yard can lie fallow by way of contrast.
•••Parking such that I see reflections of passing headlights whilst I am on the computer in the evening, a soothing ambience and a reminder that life is more than just a screen.

Complete Game Logic with Sabotage
Noah Abou El Wafa, Andr\'e Platzer
https://arxiv.org/abs/2404.09873 https://arxiv.org/pdf/2404.…

Complete Game Logic with Sabotage
We introduce Sabotage Game Logic ($\mathsf{GL_s}$), a simple and natural extension of Parikh's Game Logic with a single additional primitive, which allows players to lay traps for the opponent to avoid. $\mathsf{GL_s}$ can be used to model infinite sabotage games, in which players can change the rules during game play. In contrast to Game Logic, which is strictly less expressive, GLs is exactly as expressive as the modal $μ$-calculus. This reveals a close connection between the entangled neste…

This https://arxiv.org/abs/2404.06710 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera
One of the most critical factors in achieving sharp Novel View Synthesis (NVS) using neural field methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) is the quality of the training images. However, Conventional RGB cameras are susceptible to motion blur. In contrast, neuromorphic cameras like event and spike cameras inherently capture more comprehensive temporal information, which can provide a sharp representation of the scene as additional training data. Recent methods…

Dog walking. #bw #seascape #Photography
https://…

Beach
Microblog posting from 14 Apr 2024 at 22:12:59 +01:00.

This https://arxiv.org/abs/2401.11678 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Modern approaches to improving phase contrast electron microscopy
Although defocus can be used to generate partial phase contrast in transmission electron microscope images, cryo-electron microscopy (cryo-EM) can be further improved by the development of phase plates which increase contrast by applying a phase shift to the unscattered part of the electron beam. Many approaches have been investigated, including the ponderomotive interaction between light and electrons. We review the recent successes achieved with this method in high-resolution, single-particle…

Some INCREDIBLE photos from nine inch nails' Self Destruct tour 1994-1995 taken by Jonathan Rach.
THIS is the aesthetic. This right here.
#90s #industrial #90sMusic

Explanations of MTF discrepancy in grating-based X-ray differential phase contrast CT imaging
Yuhang Tan, Jiecheng Yang, Hairong Zheng, Dong Liang, Peiping Zhu, Yongshuai Ge
https://arxiv.org/abs/2404.08882

Explanations of MTF discrepancy in grating-based X-ray differential phase contrast CT imaging
As a multi-contrast X-ray computed tomography (CT) imaging system, the grating-based Talbot-Lau interferometer is able to generate the absorption contrast and differential phase contrast (DPC) images concurrently. However, experiments found that the absorption CT (ACT) images have better spatial resolution, i.e., higher modulation transfer function (MTF), than the differential phase contrast CT (DPCT) images. Until now, the root cause of such observed discrepancy has not been rigorously investi…

$\epsilon$-isomorphisms for rank one $(\varphi,\Gamma)$-modules over Lubin-Tate Robba rings
Milan Malcic, Rustam Steingart, Otmar Venjakob, Max Witzelsperger
https://arxiv.org/abs/2404.09974

$ε$-isomorphisms for rank one $(φ,Γ)$-modules over Lubin-Tate Robba rings
Inspired by Nakamura's work (arXiv:1305.0880) on $ε$-isomorphisms for $(φ,Γ)$-modules over (relative) Robba rings with respect to the cyclotomic theory, we formulate an analogous conjecture for $L$-analytic Lubin-Tate $(φ_L,Γ_L)$-modules over (relative) Robba rings for any finite extension $L$ of $\mathbb{Q}_p.$ In contrast to Kato's and Nakamura's setting, our conjecture involves $L$-analytic cohomology instead of continuous cohomology within the generalized Herr complex. Similarly, we re…

Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields
Stephen Hausler, David Hall, Sutharsan Mahendren, Peyman Moghadam
https://arxiv.org/abs/2402.09722

Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields
Neural fields, coordinate-based neural networks, have recently gained popularity for implicitly representing a scene. In contrast to classical methods that are based on explicit representations such as point clouds, neural fields provide a continuous scene representation able to represent 3D geometry and appearance in a way which is compact and ideal for robotics applications. However, limited prior methods have investigated registering multiple neural fields by directly utilising these continu…

Higher codimension nef and effective cycles on the Hilbert scheme of 3 points in projective 3-space
Gwyneth Moreland
https://arxiv.org/abs/2403.08918 https…

Higher codimension nef and effective cycles on the Hilbert scheme of 3 points in projective 3-space
Nef and effective cones of divisors have been the subject of much study. In contrast, their higher codimension analogues are much harder to compute and few examples exist in the literature. In this paper we compute the nef cones in codimensions 2 & 3 and the effective cones in dimensions 2 & 3 for the Hilbert scheme of three points in $\mathbb{P}^3$. Our computation generalizes results of Ryan & Stathis and requires a careful analysis of the PGL orbits in the Hilbert scheme, as well as a new ba…

This https://arxiv.org/abs/2311.09888 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Near-Field Velocity Sensing and Predictive Beamforming
The novel concept of near-field velocity sensing is proposed. In contrast to far-field velocity sensing, near-field velocity sensing enables the simultaneous estimation of both radial and transverse velocities of a moving target. A maximum-likelihood-based method is proposed for jointly estimating the radial and transverse velocities from the echo signals. Assisted by near-field velocity sensing, a predictive beamforming framework is proposed for a moving communication user, which requires no c…

This https://arxiv.org/abs/2305.18436 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming
$K$-means clustering is a widely used machine learning method for identifying patterns in large datasets. Semidefinite programming (SDP) relaxations have recently been proposed for solving the $K$-means optimization problem that enjoy strong statistical optimality guarantees, but the prohibitive cost of implementing an SDP solver renders these guarantees inaccessible to practical datasets. By contrast, nonnegative matrix factorization (NMF) is a simple clustering algorithm that is widely used b…

Initial results of our spectro-photometric monitoring of XZ Tau
Arpan Ghosh, Saurabh Sharma, Joe Philip Ninan, Devendra K. Ojha, Aayushi Verma, Tarak Chand Sahu, Rakesh Pandey, Koshvendra Singh
https://arxiv.org/abs/2404.09361

Initial results of our spectro-photometric monitoring of XZ Tau
We present here initial results of our spectro-photometric monitoring of XZ Tau. During our monitoring period, XZ Tau exhibited several episodes of brightness variations in timescales of months at optical wavelengths in contrast to the mid-infrared wavelengths. The color evolution of XZ Tau during this period suggest that the brightness variations are driven by changes in accretion from the disc. The mid-infrared light curve shows an overall decline in brightness by $\sim$ 0.5 and 0.7 magnitude…

Strategic Informed Trading and the Value of Private Information
Michail Anthropelos, Scott Robertson
https://arxiv.org/abs/2404.08757 https://

Strategic Informed Trading and the Value of Private Information
We consider a market of risky financial assets where the participants are an informed trader, a mass of uniformed traders and noisy liquidity providers. We prove the existence of a market-clearing equilibrium when the insider internalizes her power to impact prices. In the price-impact equilibrium the insider strategically reveals a noisier (compared to when the insider takes prices as given) signal, and prices are less reactive to the publicly available information. In contrast to the related …

This https://arxiv.org/abs/2206.05516 has been replaced.
link: https://scholar.google.com/scholar?q=a

Deep Learning-Based MR Image Re-parameterization
Magnetic resonance (MR) image re-parameterization refers to the process of generating via simulations of an MR image with a new set of MRI scanning parameters. Different parameter values generate distinct contrast between different tissues, helping identify pathologic tissue. Typically, more than one scan is required for diagnosis; however, acquiring repeated scans can be costly, time-consuming, and difficult for patients. Thus, using MR image re-parameterization to predict and estimate the con…

This https://arxiv.org/abs/2201.12923 has been replaced.
link: https://scholar.google.com/scholar?q=a

Asynchronous Opinion Dynamics in Social Networks
Opinion spreading in a society decides the fate of elections, the success of products, and the impact of political or social movements. The model by Hegselmann and Krause is a well-known theoretical model to study such opinion formation processes in social networks. In contrast to many other theoretical models, it does not converge towards a situation where all agents agree on the same opinion. Instead, it assumes that people find an opinion reasonable if and only if it is close to their own. T…

This https://arxiv.org/abs/2206.00207 has been replaced.
link: https://scholar.google.com/scholar?q=a

Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models
The gradient descent (GD) method has been used widely to solve parameter estimation in generalized linear models (GLMs), a generalization of linear models when the link function can be non-linear. In GLMs with a polynomial link function, it has been shown that in the high signal-to-noise ratio (SNR) regime, due to the problem's strong convexity and smoothness, GD converges linearly and reaches the final desired accuracy in a logarithmic number of iterations. In contrast, in the low SNR setting,…

He was born and raised in my home town. 😢 I loved the MacNeil Lehrer Report, even as a kid. RIP
https://press.coop/@nytimes/112259174425989704

The New York Times :press: (@nytimes@press.coop)
Attached: 1 image Robert MacNeil, Earnest News Anchor for PBS, Dies at 93 With his longtime co-host Jim Lehrer, he delivered thoughtful reports that stood in stark contrast to the commercial networks’ ever more sensational newscasts. #press https://www.nytimes.com/2024/04/12/business/media/robert-macneil-dead.html?utm_source=press.coop

Had to go to higher ground to get away from the sea fog.
#landscape a mile in from Hydro beach, where the blackbirds held their evening concerts.

Dynamical Friction and Black Holes in Ultralight Dark Matter Solitons
Russell Boey, Yourong Wang, Emily Kendall, Richard Easther
https://arxiv.org/abs/2403.09038

Dynamical Friction and Black Holes in Ultralight Dark Matter Solitons
We numerically simulate the motion of a black hole as it plunges radially through an ultralight dark matter soliton. We investigate the timescale in which dynamical friction reduces the kinetic energy of the black hole to a minimum, and consider the sensitivity of this timescale to changes in the ULDM particle mass, the total soliton mass, and the mass of the black hole. We contrast our numerical results with a semi-analytic treatment of dynamical friction, and find that the latter is poorly su…

Visual experiences unique to early infancy provide building blocks of human vision https://medicalxpress.com/news/2024-05-visual-unique-early-infancy-blocks.html "the same sequence of images improves the training of

Visual experiences unique to early infancy provide building blocks of human vision, study finds
What do infants see? What do they look at? The answers to these questions are very different for the youngest babies than they are for older infants, children and adults. Characterized by a few high-contrast edges in simple patterns, these early scenes also contain the very materials needed to build a strong foundation for human vision.

Keck Primary Mirror Closed-Loop Segment Control using a Vector-Zernike Wavefront Sensor
Maissa Salama, Charlotte Guthery, Vincent Chambouleyron, Rebecca Jensen-Clem, J. Kent Wallace, Jacques-Robert Delorme, Mitchell Troy, Tobias Wenger, Daniel Echeverri, Luke Finnerty, Nemanja Jovanovic, Joshua Liberman, Ronald A. Lopez, Dimitri Mawet, Evan C. Morris, Maaike van Kooten, Jason J. Wang, Peter Wizinowich, Yinzi Xin, Jerry Xuan

Keck Primary Mirror Closed-Loop Segment Control using a Vector-Zernike Wavefront Sensor
We present the first on-sky segmented primary mirror closed-loop piston control using a Zernike wavefront sensor (ZWFS) installed on the Keck II telescope. Segment co-phasing errors are a primary contributor to contrast limits on Keck and will be necessary to correct for the next generation of space missions and ground-based extremely large telescopes (ELTs), which will all have segmented primary mirrors. The goal of the ZWFS installed on Keck is to monitor and correct primary mirror co-phasing…

In contrast to Starmer and Hunt, aiming to increase military spending #GettingReal
"UK defence expenditure should firstly be reduced from 2.2% of GDP to the European Union average of 1.6% (World Bank & Stockholm International Peace Research Institute, n.d.). The actual expenditure would decline further given the managed contracting scale of the economy as a whole. Moreover, the fo…

“A Brief Note on Highlighted Text”
https://adrianroselli.com/2024/05/a-brief-note-on-highlighted-text.html
TL;DR: If you plan to style text highlighted by the browser, you must give it sufficient contrast — 3:1 for the highlight block agains…

A Brief Note on Highlighted Text
TL;DR: If you plan to style text highlighted by the browser, you must give it sufficient contrast — 3:1 for the highlight block against its background and (probably) 4.5:1 for the text within that highlighted block against that background. CSS Context CSS provides methods to style the highlights that browsers…

This https://arxiv.org/abs/1907.10590 has been replaced.
link: https://scholar.google.com/scholar?q=a

The method of Eneström and Phragmén for parliamentary elections by means of approval voting
We study a method for proportional representation that was proposed at the turn from the nineteenth to the twentieth century by Gustav Eneström and Edvard Phragmén. Like Phragmén's better-known iterative minimax method, it is assumed that the voters express themselves by means of approval voting. In contrast to the iterative minimax method, however, here one starts by fixing a quota, i.e. the number of votes that give the right to a seat. As a matter of fact, the method of Eneström and Phra…

This https://arxiv.org/abs/2404.01214 has been replaced.
link: https://scholar.google.com/scholar?q=a

High-temperature domain wall current in Mg-doped lithium niobate single crystals up to 400°C
Conductive ferroelectric domain walls (DWs) represent a promising topical system for the development of nanoelectronic components and devices. DWs show very different properties as compared to their bulk counterparts. Of central interest here is the domain wall current (DWC) of charged DWs in 5mol\% Mg-doped lithium niobate single crystals; in contrast to former works, we extend the DWC study here to temperatures as high as 400$^\circ$C. Both the temporal stability and the thermal activation en…

This https://arxiv.org/abs/2311.13670 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Explicit error-correction scheme and code distance for bosonic codes with rotational symmetry
Bosonic codes with rotational symmetry are currently one of the best performing quantum error correcting codes. Little is known about error propagation and code distance for these rotation codes in contrast with qubit codes and Bosonic codes with translation symmetry. We use a general purpose error basis that is naturally suited to codes with rotation symmetry to compute how errors propagate through gates. This error basis allows us to give an explicit error detection, decoding, and correction …

This https://arxiv.org/abs/2305.09174 has been replaced.
initial toot: https://mastoxiv.page/@a…

Higher-order Klein bottle topological insulator in three-dimensional acoustic crystals
Topological phases of matter are classified based on symmetries, with nonsymmorphic symmetries like glide reflections and screw rotations being of particular importance in the classification. In contrast to extensively studied glide reflections in real space, introducing space-dependent gauge transformations can lead to momentum-space glide reflection symmetries, which may even change the fundamental domain for topological classifications, e.g., from a torus to a Klein bottle. Here we discover …

“#HumanCentered technology is about aligning the entire technology ecosystem with the health and well-being of the human person. The contrast is with technology that’s designed to replace humans, compete with humans, or devalue humans as opposed to technology that’s designed to support, empower, enrich, and strengthen humans.”

50 Global Experts Warn: We Must Stop Technology-Driven AI
According to a team of global experts, we need to stop the development of new AI technology merely for the sake of innovation, which forces adjustments in practices, habits, and laws to accommodate the technology. They instead advocate for the creation of AI that precisely meets our needs, aligning

On coneigenvalues of quaternion matrices: location and perturbation
Pallavi Basavaraju, Shrinath Hadimani, Sachindranath Jayaraman
https://arxiv.org/abs/2404.08932

On coneigenvalues of quaternion matrices: location and perturbation
We derive some localization and perturbation results for coneigenvalues of quaternion matrices. In localization results, we derive Geršgorin type theorems for right and left coneigenvalues of quaternion matrices. We prove that certain coneigenvalues lie in the union of Gersgorin balls, in contrast to the complex situation where all eigenvalues lie in the union of Gersgorin discs. In perturbation results, we derive a result analogous to the Hoffman-Wielandt inequality for basal right coneigenva…

Yes, you can buy flowers and bring them home by #bike.

This https://arxiv.org/abs/2305.18436 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming
$K$-means clustering is a widely used machine learning method for identifying patterns in large datasets. Semidefinite programming (SDP) relaxations have recently been proposed for solving the $K$-means optimization problem that enjoy strong statistical optimality guarantees, but the prohibitive cost of implementing an SDP solver renders these guarantees inaccessible to practical datasets. By contrast, nonnegative matrix factorization (NMF) is a simple clustering algorithm that is widely used b…

Initial results of our spectro-photometric monitoring of XZ Tau
Arpan Ghosh, Saurabh Sharma, Joe Philip Ninan, Devendra K. Ojha, Aayushi Verma, Tarak Chand Sahu, Rakesh Pandey, Koshvendra Singh
https://arxiv.org/abs/2404.09361

Initial results of our spectro-photometric monitoring of XZ Tau
We present here initial results of our spectro-photometric monitoring of XZ Tau. During our monitoring period, XZ Tau exhibited several episodes of brightness variations in timescales of months at optical wavelengths in contrast to the mid-infrared wavelengths. The color evolution of XZ Tau during this period suggest that the brightness variations are driven by changes in accretion from the disc. The mid-infrared light curve shows an overall decline in brightness by $\sim$ 0.5 and 0.7 magnitude…

#FotoVorschlag "geometrische Formen".
Not 100% sure if it meets the topic - but it is exactly what made me take this photo:
I was up on a mountain and I first only saw the lines. I wondered why there are straight lines and sharp edges in the snowscape. it looked so .. different.
When I took a closer look, that contrast of natural forms and straight lines totally …

7T MRI Synthesization from 3T Acquisitions
Qiming Cui, Duygu Tosun, Reza Abbasi-Asl
https://arxiv.org/abs/2403.08979 https://arxiv.or…

7T MRI Synthesization from 3T Acquisitions
Supervised deep learning techniques can be used to generate synthetic 7T MRIs from 3T MRI inputs. This image enhancement process leverages the advantages of ultra-high-field MRI to improve the signal-to-noise and contrast-to-noise ratios of 3T acquisitions. In this paper, we introduce multiple novel 7T synthesization algorithms based on custom-designed variants of the V-Net convolutional neural network. We demonstrate that the V-Net based model has superior performance in enhancing both single-…

Today's compare and contrast articles:
1) Inside Biden’s Broken Relationship With Muslim and Arab American Leaders https://www.nytimes.com/2024/05/10/us/politics/biden-muslim-arab-americans-gaza.html?smid=nytcor…

Inside Biden’s Broken Relationship With Muslim and Arab American Leaders
Even as the president piles new pressure on Israel to end the war in Gaza, those who have called most passionately for him to change course say it is too little, too late.

Today's compare and contrast articles:
1) Inside Biden’s Broken Relationship With Muslim and Arab American Leaders https://www.nytimes.com/2024/05/10/us/politics/biden-muslim-arab-americans-gaza.html?smid=nytcor…

Inside Biden’s Broken Relationship With Muslim and Arab American Leaders
Even as the president piles new pressure on Israel to end the war in Gaza, those who have called most passionately for him to change course say it is too little, too late.

This https://arxiv.org/abs/2304.15000 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csPL_…

Quantum Control Machine: The Limits of Control Flow in Quantum Programming
Quantum algorithms for tasks such as factorization, search, and simulation rely on control flow such as branching and iteration that depends on the value of data in superposition. High-level programming abstractions for control flow, such as switches, loops, and higher-order functions, are ubiquitous in classical languages. By contrast, many quantum languages do not provide high-level abstractions for control flow in superposition, and instead require the use of hardware-level logic gates to im…

Discrete Semantic Tokenization for Deep CTR Prediction
Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu
https://arxiv.org/abs/2403.08206

Discrete Semantic Tokenization for Deep CTR Prediction
Incorporating item content information into click-through rate (CTR) prediction models remains a challenge, especially with the time and space constraints of industrial scenarios. The content-encoding paradigm, which integrates user and item encoders directly into CTR models, prioritizes space over time. In contrast, the embedding-based paradigm transforms item and user semantics into latent embeddings and then caches them, prioritizes space over time. In this paper, we introduce a new semantic…

Incel CS lecturer at Waterloo
"late dating may result in strange sexual fetishes"
How did you get here and why is this a problem
"single boys cannot easily satisfy themselves sexually"
I can introduce you to many men who can show you differently. Also, try a vibrator. I think this is a you problem.
"boys have tendency toward watching pornography more than girls because males, in contrast to females, can get sexual satisfaction visually"
Sorry wait did you think reading smut doesn't lead to sexual fetishes? You have been reading the wrong smut
#IncelShaming

Active doping controls the mode of failure in dense colloidal gels
Tingtao Zhou, John F. Brady
https://arxiv.org/abs/2404.08880 https://

Active doping controls the mode of failure in dense colloidal gels
Mechanical properties of disordered materials are governed by their underlying free energy landscape. In contrast to external fields, embedding a small fraction of active particles within a disordered material generates non-equilibrium internal fields, which can help to circumvent kinetic barriers and modulate the free energy landscape. In this work, we investigate through computer simulations how the activity of active particles alters the mechanical response of deeply annealed polydisperse co…

This https://arxiv.org/abs/2401.07714 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Definability in affine continuous logic
I study definable sets in affine continuous logic. Let $T$ be an affine theory. After giving some general results, it is proved that if $T$ has a first order model, its extremal theory is a complete first order theory and first order definable sets are affinely definable. In this case, the type spaces of $T$ are Bauer simplices and they coincide with the sets of Keisler measures of the extremal theory. In contrast, if $T$ has a compact model, definable sets are exactly the end-sets of definable…

Augmenting Interpolation-Based Model Checking with Auxiliary Invariants (Extended Version)
Dirk Beyer, Po-Chun Chien, Nian-Ze Lee
https://arxiv.org/abs/2403.07821

Augmenting Interpolation-Based Model Checking with Auxiliary Invariants (Extended Version)
Software model checking is a challenging problem, and generating relevant invariants is a key factor in proving the safety properties of a program. Program invariants can be obtained by various approaches, including lightweight procedures based on data-flow analysis and intensive techniques using Craig interpolation. Although data-flow analysis runs efficiently, it often produces invariants that are too weak to prove the properties. By contrast, interpolation-based approaches build strong invar…

This https://arxiv.org/abs/2211.00581 has been replaced.
link: https://scholar.google.com/scholar?q=a

Evolutionary Innovation by Polyploidy
The preferred conditions for evolutionary innovation is a fundamental question, but little is known, in part because the question involves rare events. We focused on the potential role of polyploidy in the evolution of novel traits. There are two hypotheses regarding the effects of polyploidy on evolution: Polyploidy reduces the effect of a single mutation and slows evolution. In contrast, the gene redundancy introduced by polyploidy will promote neofunctionalization and accelerate evolution. D…

This https://arxiv.org/abs/2403.05684 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Simulation of diffraction and scattering using the Wigner Distribution Function
X-ray phase-contrast imaging enhances soft tissue visualization by leveraging the phase shift of X-rays passing through materials. It permits to minimize radiation exposure due to high contrast, as well as high resolution imaging limited by the wavelength of the X-rays. Phase retrieval extracts the phase shift computationally, but simulated images fail to recreate low-frequency noise observed in experimental images. To this end, we propose a new method to simulate phase contrast images using th…

I'm having to watch #GodzillaMinusOne (#ゴジラ-1.0マイナスワン, #GojiraMainasuWan) in chunks cos it's just making me cry too much.
The contrast between this film and the sub-video-game-…

In contrast to Starmer and Hunt, aiming to increase military spending #GettingReal
"UK defence expenditure should firstly be reduced from 2.2% of GDP to the European Union average of 1.6% (World Bank & Stockholm International Peace Research Institute, n.d.). The actual expenditure would decline further given the managed contracting scale of the economy as a whole. Moreover, the fo…

DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation
Zilin Si, Gu Zhang, Qingwei Ben, Branden Romero, Zhou Xian, Chao Liu, Chuang Gan
https://arxiv.org/abs/2403.08716

DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation
We introduce DIFFTACTILE, a physics-based differentiable tactile simulation system designed to enhance robotic manipulation with dense and physically accurate tactile feedback. In contrast to prior tactile simulators which primarily focus on manipulating rigid bodies and often rely on simplified approximations to model stress and deformations of materials in contact, DIFFTACTILE emphasizes physics-based contact modeling with high fidelity, supporting simulations of diverse contact modes and int…

Your Open-Source Client Options In the non-Mastodon Fediverse
https://poliverso.org/display/0477a01e-a602b585-e32bd71ec6189516
Your Open-Source Client Options In the non-Mastodon Fediverse When things started getting iffy over at Twitter, Mastodon r…

Some recent photons from my driveway, a very faint hydrogen gas bridge between two galaxies about 50 million light years away.
At some point in the past the larger galaxy collided with the one at the bottom and basically ripped it apart, dragging some hydrogen gas with it.
This is about 52 hours of exposure time.
#astrophotography

Towards Full Automation of Geometry Extraction for Biomechanical Analysis of Abdominal Aortic Aneurysm; Neural Network-Based versus Classical Methodologies
Farah Alkhatib, Mostafa Jamshidian, Donatien Le Liepvre, Florian Bernard, Ludovic Minvielle, Adam Wittek, Karol Miller
https://arxiv.org/abs/2403.07238

Towards Full Automation of Geometry Extraction for Biomechanical Analysis of Abdominal Aortic Aneurysm; Neural Network-Based versus Classical Methodologies
In this study we investigated the impact of image segmentation methods on the results of stress computation in the wall of abdominal aortic aneurysms (AAAs). We compared wall stress distributions and magnitudes calculated from geometry models obtained from classical semi-automated segmentation versus automated neural network-based segmentation. Ten different AAA contrast-enhanced computed tomography (CT) images were semi-automatically segmented by an analyst, taking, depending on the quality of…

Deep unfolding Network for Hyperspectral Image Super-Resolution with Automatic Exposure Correction
Yuan Fang, Yipeng Liu, Jie Chen, Zhen Long, Ao Li, Chong-Yung Chi, Ce Zhu
https://arxiv.org/abs/2403.09096

Deep unfolding Network for Hyperspectral Image Super-Resolution with Automatic Exposure Correction
In recent years, the fusion of high spatial resolution multispectral image (HR-MSI) and low spatial resolution hyperspectral image (LR-HSI) has been recognized as an effective method for HSI super-resolution (HSI-SR). However, both HSI and MSI may be acquired under extreme conditions such as night or poorly illuminating scenarios, which may cause different exposure levels, thereby seriously downgrading the yielded HSISR. In contrast to most existing methods based on respective low-light enhance…

This https://arxiv.org/abs/2303.04669 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Minimum contrast for the first-order intensity estimation of spatial and spatio-temporal point processes
In this paper, we harness a result in point process theory, specifically the expectation of the weighted $K$-function, where the weighting is done by the true first-order intensity function. This theoretical result can be employed as an estimation method to derive parameter estimates for a particular model assumed for the data. The underlying motivation is to avoid the difficulties associated with dealing with complex likelihoods in point process models and their maximization. The exploited res…

Lowly dogs whimper and lick their abusive master's face - National Zero
https://nationalzero.com/2024/03/07/lowly-dogs-whimper-and-lick-their-abusive-masters-face/

The real divide among Democrats is between those focused on populist kitchen-table economics (Biden & Sanders) and those, on both the left & the center, who want to fight culture wars. Voters are much more with Biden & Sanders, as the 2020 primaries showed. https://wapo.st/3TpKrUn

Bernie Sanders’s private warning to Biden about the 2024 campaign
The Vermont senator and onetime presidential hopeful has urged the White House to articulate a clearer contrast with the GOP.

On coneigenvalues of quaternion matrices: location and perturbation
Pallavi Basavaraju, Shrinath Hadimani, Sachindranath Jayaraman
https://arxiv.org/abs/2404.08932

On coneigenvalues of quaternion matrices: location and perturbation
We derive some localization and perturbation results for coneigenvalues of quaternion matrices. In localization results, we derive Geršgorin type theorems for right and left coneigenvalues of quaternion matrices. We prove that certain coneigenvalues lie in the union of Gersgorin balls, in contrast to the complex situation where all eigenvalues lie in the union of Gersgorin discs. In perturbation results, we derive a result analogous to the Hoffman-Wielandt inequality for basal right coneigenva…

Electron Interference as a Probe of Majorana Zero Modes
Nadav Drechsler, Omri Lesser, Yuval Oreg
https://arxiv.org/abs/2402.09525 https://

Electron Interference as a Probe of Majorana Zero Modes
Detecting Majorana zero modes (MZMs) in topological superconductors remains challenging, as localized non-topological states can mimic MZM signatures. Here, we propose electron interferometry by non-local transport measurements as a definitive probe to distinguish MZMs from non-topological states. We develop an analytical minimal model showing that interference via two MZMs exhibits a robust pattern, in contrast to a non-topological system. We then numerically confirm this using various topolog…

Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning
Liangkun Yu, Xiang Sun, Rana Albelaihi, Chaeeun Park, Sihua Shao
https://arxiv.org/abs/2403.06900

Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning
Federated Learning (FL) revolutionizes collaborative machine learning among Internet of Things (IoT) devices by enabling them to train models collectively while preserving data privacy. FL algorithms fall into two primary categories: synchronous and asynchronous. While synchronous FL efficiently handles straggler devices, it can compromise convergence speed and model accuracy. In contrast, asynchronous FL allows all devices to participate but incurs high communication overhead and potential mod…

This https://arxiv.org/abs/2310.02612 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Top-k contrast order-preserving pattern mining
Recently, order-preserving pattern (OPP) mining, a new sequential pattern mining method, has been proposed to mine frequent relative orders in a time series. Although frequent relative orders can be used as features to classify a time series, the mined patterns do not reflect the differences between two classes of time series well. To effectively discover the differences between time series, this paper addresses the top-k contrast OPP (COPP) mining and proposes a COPP-Miner algorithm to discove…

Today's compare and contrast articles:
1) Inside Biden’s Broken Relationship With Muslim and Arab American Leaders https://www.nytimes.com/2024/05/10/us/politics/biden-muslim-arab-americans-gaza.html?smid=nytcor…

Inside Biden’s Broken Relationship With Muslim and Arab American Leaders
Even as the president piles new pressure on Israel to end the war in Gaza, those who have called most passionately for him to change course say it is too little, too late.

Today's compare and contrast articles:
1) Inside Biden’s Broken Relationship With Muslim and Arab American Leaders https://www.nytimes.com/2024/05/10/us/politics/biden-muslim-arab-americans-gaza.html?smid=nytcor…

Inside Biden’s Broken Relationship With Muslim and Arab American Leaders
Even as the president piles new pressure on Israel to end the war in Gaza, those who have called most passionately for him to change course say it is too little, too late.

DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction
Ziqi Gao, Yue Zhang, Xinwen Liu, Kaiyan Li, S. Kevin Zhou
https://arxiv.org/abs/2403.05256

DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction
Multi-contrast (MC) Magnetic Resonance Imaging (MRI) reconstruction aims to incorporate a reference image of auxiliary modality to guide the reconstruction process of the target modality. Known MC reconstruction methods perform well with a fully sampled reference image, but usually exhibit inferior performance, compared to single-contrast (SC) methods, when the reference image is missing or of low quality. To address this issue, we propose DuDoUniNeXt, a unified dual-domain MRI reconstruction n…

This https://arxiv.org/abs/2312.04284 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Quantum Darwinism-encoding transitions on expanding trees
Quantum Darwinism (QD) proposes that classical objectivity emerges from the broadcast of information about a microscopic degree of freedom into multiple fractions of a many-body environment. Such a broadcast of information is in sharp contrast with its scrambling under strong interaction. It was recently shown that quantum dynamics interpolating between broadcasting and scrambling may display sharp phase transitions of information propagation, named QD-encoding transitions. Here, we initiate th…

Springer correspondence and mirror symmetries for parabolic Hitchin systems
Bin Wang, Xueqing Wen, Yaoxiong Wen
https://arxiv.org/abs/2403.07552 https://…

Springer correspondence and mirror symmetries for parabolic Hitchin systems
We prove the Strominger--Yau--Zaslow and topological mirror symmetries for parabolic Hitchin systems of types B and C. In contrast to type A, a geometric reinterpretation of Springer duality is necessary. Furthermore, unlike Hitchin's construction in the non-parabolic case, the map between generic fibers in type B and C needs more analysis due to the change of partitions of Springer dual nilpotent orbits, which is the main difficulty in this article. To tackle this challenge, we first construct…

This https://arxiv.org/abs/2311.03107 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Longitudinal Polaritons in Crystals
The collective excitations of solids are classified as longitudinal and transverse depending on their relative polarization and propagation direction. This seemingly formal classification results in surprisingly distinct types of excitations if calculated within the Coulomb gauge. Transverse modes couple to free-space photons and hybridize into polaritons for strong light-matter coupling. Longitudinal modes, in contrast, are seen as pure matter excitations that produce a dynamic polarization in…

This https://arxiv.org/abs/2401.05008 has been replaced.
initial toot: https://mastoxiv.page/@a…

Luminescence properties of closely packed organic color centers grafted on a carbon nanotube
We report on the photo-luminescence of pairs of organic color centers in single-wall carbon nanotubes grafted with 3,5 dichlorobenzene. Using various techniques such as intensity correlations, super-localization microscopy or luminescence excitation spectroscopy, we distinguish two pairs of color centers grafted on the same nanotube; the distance between the pairs is on the order of several hundreds of nanometers. In contrast, by studying the strong temporal correlations in the spectral diffusi…

This https://arxiv.org/abs/2404.06710 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera
One of the most critical factors in achieving sharp Novel View Synthesis (NVS) using neural field methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) is the quality of the training images. However, Conventional RGB cameras are susceptible to motion blur. In contrast, neuromorphic cameras like event and spike cameras inherently capture more comprehensive temporal information, which can provide a sharp representation of the scene as additional training data. Recent methods…

I'm having to watch #GodzillaMinusOne (#ゴジラ-1.0マイナスワン, #GojiraMainasuWan) in chunks cos it's just making me cry too much.
The contrast between this film and the sub-video-game-…

"I’m wrapping up "Move Slowly & Build Bridges", my book about the #fediverse. I provide some #history, show the struggles of instance #admins… I also develop a concept:
“

This https://arxiv.org/abs/2401.04260 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Outflows Driven from a Magnetic Pseudodisk
Outflows play a pivotal role in star formation as one of its most visible markers and a means of transporting mass, momentum, and angular momentum from the infalling gas into the surrounding molecular cloud. Their wide reach (at least thousands of au) is a contrast to typical disk sizes ($\sim 10-100$ au). We employ high-resolution three-dimensional nested-grid nonideal magnetohydrodynamic (MHD) simulations to study outflow properties in the Class 0 phase. We find that no disk wind is driven fr…

Multi-source Scheduling and Resource Allocation for Age-of-Semantic-Importance Optimization in Status Update Systems
Lunyuan Chen, Jie Gong
https://arxiv.org/abs/2403.07386

Multi-source Scheduling and Resource Allocation for Age-of-Semantic-Importance Optimization in Status Update Systems
In recent years, semantic communication is progressively emerging as an effective means of facilitating intelligent and context-aware communication. However, current researches seldom simultaneously consider the reliability and timeliness of semantic communication, where scheduling and resource allocation (SRA) plays a crucial role. In contrast, conventional age-based approaches cannot seamlessly extend to semantic communication due to their oversight of semantic importance. To bridge this gap,…

3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain
Yuran Zhu, Guanhua Wang, Yuning Gu, Walter Zhao, Jiahao Lu, Junqing Zhu, Christina J. MacAskill, Andrew Dupuis, Mark A. Griswold, Dan Ma, Chris A. Flask, Xin Yu
https://arxiv.org/abs/2405.00513

3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain
Quantitative MRI enables direct quantification of contrast agent concentrations in contrast-enhanced scans. However, the lengthy scan times required by conventional methods are inadequate for tracking contrast agent transport dynamically in mouse brain. We developed a 3D MR fingerprinting (MRF) method for simultaneous T1 and T2 mapping across the whole mouse brain with 4.3-min temporal resolution. We designed a 3D MRF sequence with variable acquisition segment lengths and magnetization preparat…

This https://arxiv.org/abs/2305.17283 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Sharpened Lazy Incremental Quasi-Newton Method
The problem of minimizing the sum of $n$ functions in $d$ dimensions is ubiquitous in machine learning and statistics. In many applications where the number of observations $n$ is large, it is necessary to use incremental or stochastic methods, as their per-iteration cost is independent of $n$. Of these, Quasi-Newton (QN) methods strike a balance between the per-iteration cost and the convergence rate. Specifically, they exhibit a superlinear rate with $O(d^2)$ cost in contrast to the linear ra…

Trump relies on a doctor who is a member of his golf club to vouch for his health

The former president has declined to release details about his own condition beyond a short letter from his physician,
In contrast with Biden’s detailed health report
https://www.

Trump relies on a doctor who is a member of his golf club to vouch for his health
As the former president assails President Biden’s health, he has declined to release details about his own condition beyond a three-paragraph letter by his New Jersey physician.

This https://arxiv.org/abs/2402.16906 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step
Large language models (LLMs) are leading significant progress in code generation. Beyond one-pass code generation, recent works further integrate unit tests and program verifiers into LLMs to iteratively refine the generated programs. However, these works consider the generated programs as an indivisible entity, which falls short for LLMs in debugging the programs, especially when the programs contain complex logic flows and data operations. In contrast, when human developers debug programs, th…

The real divide among Democrats is between those focused on populist kitchen-table economics (Biden & Sanders) and those, on both the left & the center, who want to fight culture wars. Voters are much more with Biden & Sanders, as the 2020 primaries showed. https://wapo.st/3TpKrUn

Bernie Sanders’s private warning to Biden about the 2024 campaign
The Vermont senator and onetime presidential hopeful has urged the White House to articulate a clearer contrast with the GOP.

Polydisperse versus monodisperse microbubbles: A simulation study for contrast-enhanced ultrasound imaging
Agisilaos Matalliotakis, Martin D. Verweij
https://arxiv.org/abs/2405.09263

Toward An Analytic Theory of Intrinsic Robustness for Dexterous Grasping
Albert H. Li, Preston Culbertson, Aaron D. Ames
https://arxiv.org/abs/2403.07249 h…

Toward An Analytic Theory of Intrinsic Robustness for Dexterous Grasping
Conventional approaches to grasp planning require perfect knowledge of an object's pose and geometry. Uncertainties in these quantities induce uncertainties in the quality of planned grasps, which can lead to failure. Classically, grasp robustness refers to the ability to resist external disturbances after grasping an object. In contrast, this work studies robustness to intrinsic sources of uncertainty like object pose or geometry affecting grasp planning before execution. To do so, we develop …

3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain
Yuran Zhu, Guanhua Wang, Yuning Gu, Walter Zhao, Jiahao Lu, Junqing Zhu, Christina J. MacAskill, Andrew Dupuis, Mark A. Griswold, Dan Ma, Chris A. Flask, Xin Yu
https://arxiv.org/abs/2405.00513

3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain
Quantitative MRI enables direct quantification of contrast agent concentrations in contrast-enhanced scans. However, the lengthy scan times required by conventional methods are inadequate for tracking contrast agent transport dynamically in mouse brain. We developed a 3D MR fingerprinting (MRF) method for simultaneous T1 and T2 mapping across the whole mouse brain with 4.3-min temporal resolution. We designed a 3D MRF sequence with variable acquisition segment lengths and magnetization preparat…

Gadolinium dose reduction for brain MRI using conditional deep learning
Thomas Pinetz, Erich Kobler, Robert Haase, Julian A. Luetkens, Mathias Meetschen, Johannes Haubold, Cornelius Deuschl, Alexander Radbruch, Katerina Deike, Alexander Effland
https://arxiv.org/abs/2403.03539

Gadolinium dose reduction for brain MRI using conditional deep learning
Recently, deep learning (DL)-based methods have been proposed for the computational reduction of gadolinium-based contrast agents (GBCAs) to mitigate adverse side effects while preserving diagnostic value. Currently, the two main challenges for these approaches are the accurate prediction of contrast enhancement and the synthesis of realistic images. In this work, we address both challenges by utilizing the contrast signal encoded in the subtraction images of pre-contrast and post-contrast imag…

Bernie Sanders’s private warning to Biden about the 2024 campaign
Pointing to the portrait of Roosevelt that hangs above the Oval Office’s fireplace, Bernie #Sanders quoted to Biden a line from a 1937 address by #FDR, still two years from the end of the Great Depression:
“I see one-third of a nation ill-housed…

Bernie Sanders’s private warning to Biden about the 2024 campaign
The Vermont senator and onetime presidential hopeful has urged the White House to articulate a clearer contrast with the GOP.

Data-Driven System Identification of Quadrotors Subject to Motor Delays
Jonas Eschmann, Dario Albani, Giuseppe Loianno
https://arxiv.org/abs/2404.07837 htt…

Data-Driven System Identification of Quadrotors Subject to Motor Delays
Recently non-linear control methods like Model Predictive Control (MPC) and Reinforcement Learning (RL) have attracted increased interest in the quadrotor control community. In contrast to classic control methods like cascaded PID controllers, MPC and RL heavily rely on an accurate model of the system dynamics. The process of quadrotor system identification is notoriously tedious and is often pursued with additional equipment like a thrust stand. Furthermore, low-level details like motor delays…

This https://arxiv.org/abs/2304.13764 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies
Quantifying the phagocytosis of dynamic, unstained cells is essential for evaluating neurodegenerative diseases. However, measuring rapid cell interactions and distinguishing cells from background make this task very challenging when processing time-lapse phase-contrast video microscopy. In this study, we introduce an end-to-end, scalable, and versatile real-time framework for quantifying and analyzing phagocytic activity. Our proposed pipeline is able to process large data-sets and includes a …

Astrometric and photometric characterization of $\eta$ Tel B combining two decades of observations
P. H. Nogueira, C. Lazzoni, A. Zurlo, T. Bhowmik, C. Donoso-Oliva, S. Desidera, J. Milli, S. P\'erez, P. Delorme, A. Fernadez, M. Langlois, S. Petrus, G. Cabrera-Vives, G. Chauvin
https://arxiv.org/abs/2405.04723

Astrometric and photometric characterization of $η$ Tel B combining two decades of observations
$η$ Tel is an 18 Myr system with a 2.09 M$_{\odot}$ A-type star and an M7-M8 brown dwarf companion, $η$ Tel B, separated by 4.2'' (208 au). High-contrast imaging campaigns over 20 years have enabled orbital and photometric characterization. $η$ Tel B, bright and on a wide orbit, is ideal for detailed examination. We analyzed three new SPHERE/IRDIS coronagraphic observations to explore $η$ Tel B's orbital parameters, contrast, and surroundings, aiming to detect a circumplanetary disk or cl…

Comparative Analysis of Image Enhancement Techniques for Brain Tumor Segmentation: Contrast, Histogram, and Hybrid Approaches
Shoffan Saifullah, Andri Pranolo, Rafa{\l} Dre\.zewski
https://arxiv.org/abs/2404.05341

Comparative Analysis of Image Enhancement Techniques for Brain Tumor Segmentation: Contrast, Histogram, and Hybrid Approaches
This study systematically investigates the impact of image enhancement techniques on Convolutional Neural Network (CNN)-based Brain Tumor Segmentation, focusing on Histogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), and their hybrid variations. Employing the U-Net architecture on a dataset of 3064 Brain MRI images, the research delves into preprocessing steps, including resizing and enhancement, to optimize segmentation accuracy. A detailed analysis of the CNN…

This https://arxiv.org/abs/2401.15174 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

LaMI: Large Language Models for Multi-Modal Human-Robot Interaction
This paper presents an innovative large language model (LLM)-based robotic system for enhancing multi-modal human-robot interaction (HRI). Traditional HRI systems relied on complex designs for intent estimation, reasoning, and behavior generation, which were resource-intensive. In contrast, our system empowers researchers and practitioners to regulate robot behavior through three key aspects: providing high-level linguistic guidance, creating "atomic actions" and expressions the robot can use, …

This https://arxiv.org/abs/2403.13890 has been replaced.
link: https://scholar.google.com/scholar?q=a

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
Contrast agents in dynamic contrast enhanced magnetic resonance imaging allow to localize tumors and observe their contrast kinetics, which is essential for cancer characterization and respective treatment decision-making. However, contrast agent administration is not only associated with adverse health risks, but also restricted for patients during pregnancy, and for those with kidney malfunction, or other adverse reactions. With contrast uptake as key biomarker for lesion malignancy, cancer r…

This https://arxiv.org/abs/2310.04044 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Graph-based 3D Collision-distance Estimation Network with Probabilistic Graph Rewiring
We aim to solve the problem of data-driven collision-distance estimation given 3-dimensional (3D) geometries. Conventional algorithms suffer from low accuracy due to their reliance on limited representations, such as point clouds. In contrast, our previous graph-based model, GraphDistNet, achieves high accuracy using edge information but incurs higher message-passing costs with growing graph size, limiting its applicability to 3D geometries. To overcome these challenges, we propose GDN-R, a nov…

Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning
Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Karol Miszalski-Jamka, Katarzyna Widawka-\.Zak, Sabina Wolny, Marcin Kostur
https://arxiv.org/abs/2403.02544

Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning
Precise localization of coronary arteries in Computed Tomography (CT) scans is critical from the perspective of medical assessment of coronary artery disease. Although various methods exist that offer high-quality segmentation of coronary arteries in cardiac contrast-enhanced CT scans, the potential of less invasive, non-contrast CT in this area is still not fully exploited. Since such fine anatomical structures are hardly visible in this type of medical images, the existing methods are charact…