Tootfinder

Differences in Neurovascular Coupling in Patients with Major Depressive Disorder: Evidence from Simultaneous Resting-State EEG-fNIRS
Feng Yan, Xiaobin Wang, Yao Zhao, Shuyi Yang, Zhiren Wang
https://arxiv.org/abs/2506.11634

Differences in Neurovascular Coupling in Patients with Major Depressive Disorder: Evidence from Simultaneous Resting-State EEG-fNIRS
Neurovascular coupling (NVC) refers to the process by which local neural activity, through energy consumption, induces changes in regional cerebral blood flow to meet the metabolic demands of neurons. Event-related studies have shown that the hemodynamic response typically lags behind neural activation by 4-6 seconds. However, little is known about how NVC is altered in patients with major depressive disorder (MDD) and throughout the recovery process. In this study, we employed simultaneous res…

CFMI: Flow Matching for Missing Data Imputation
Vaidotas Simkus, Michael U. Gutmann
https://arxiv.org/abs/2506.09258 https://arxiv.or…

CFMI: Flow Matching for Missing Data Imputation
We introduce conditional flow matching for imputation (CFMI), a new general-purpose method to impute missing data. The method combines continuous normalising flows, flow-matching, and shared conditional modelling to deal with intractabilities of traditional multiple imputation. Our comparison with nine classical and state-of-the-art imputation methods on 24 small to moderate-dimensional tabular data sets shows that CFMI matches or outperforms both traditional and modern techniques across a wide…

Quick starch guide: A perspective on shear thickening in dense non-Brownian suspensions
C\'ecile Clavaud, Abhinendra Singh
https://arxiv.org/abs/2506.11951

Quick starch guide: A perspective on shear thickening in dense non-Brownian suspensions
In this article, we provide a brief perspective on recent developments in the study of shear thickening in dense suspensions. We give a rapid overview of the state of the art and discuss current models aiming to describe this particular rheology. Although most of the experiments and simulation studies are conducted in "ideal" flows, where the sample is confined without an open boundary condition, we have decided to highlight more realistic flow conditions. We further provide an overview on how …

To encourage a mental flow state, I listen to 'zone music'. Whenever I have to concentrate, I turn this music on.
The songs below are also a Pomodoro 25min so it's break time when the song ends.
✅ INFO: Maintaining focus w/ “Music to Code By”
https://kurtsh.com/2015/05/05/i…

INFO: Maintaining focus w/ “Music to Code By”
Totally off topic, but it relates to a few posts I made 5-10 years ago.  INFOMANIA. ALIVE & WELL. One of my interests is the study of “Infomania”, a syndrome described by Hewlett Packard R…

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation
Or Tal, Felix Kreuk, Yossi Adi
https://arxiv.org/abs/2506.08570

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation
Recent progress in text-to-music generation has enabled models to synthesize high-quality musical segments, full compositions, and even respond to fine-grained control signals, e.g. chord progressions. State-of-the-art (SOTA) systems differ significantly across many dimensions, such as training datasets, modeling paradigms, and architectural choices. This diversity complicates efforts to evaluate models fairly and pinpoint which design choices most influence performance. While factors like data…

This https://arxiv.org/abs/2506.03430 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
This paper presents a \textit{physics-based} steady-state equivalent circuit model of a two-stage bidirectional inverter. These inverters connect distributed energy resources (DERs), such as photovoltaic (PV) and battery systems, to distribution grids. Existing inverter models have technical gaps on three fronts: i) inadequate modeling of inverter losses, ii) use of mathematical abstractions for bidirectional flow of power, and iii) inability to integrate different control modes into nonlinear …

Discrete vortex-based broadcast mode analysis for modification of dynamic stall
Het D. Patel (Department of Mechanical and Aerospace Engineering, North Carolina State University), Yi Tsung Lee (Department of Mechanical and Aerospace Engineering, North Carolina State University), Ashok Gopalarathnam (Department of Mechanical and Aerospace Engineering, North Carolina State University), Chi-An Yeh (Department of Mechanical and Aerospace Engineering, North Carolina State University)

Discrete vortex-based broadcast mode analysis for modification of dynamic stall
We integrate a discrete vortex method with complex network analysis to strategize dynamic stall mitigation over a pitching airfoil with active flow control. The objective is to inform actuator placement and timing to introduce control inputs during the transient evolution of dynamic stall. To this end, we represent the massively separated flow as a network of discrete vortical elements and quantify the interactions among these vortical nodes by tracking the spread of displacement perturbations …

This https://arxiv.org/abs/2505.19887 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Deconstructing Obfuscation: A four-dimensional framework for evaluating Large Language Models assembly code deobfuscation capabilities
Large language models (LLMs) have shown promise in software engineering, yet their effectiveness for binary analysis remains unexplored. We present the first comprehensive evaluation of commercial LLMs for assembly code deobfuscation. Testing seven state-of-the-art models against four obfuscation scenarios (bogus control flow, instruction substitution, control flow flattening, and their combination), we found striking performance variations--from autonomous deobfuscation to complete failure. We…

The Hidden Cost of AI Coding #Ai,

The Hidden Cost of AI Coding
AI coding tools boost productivity but may sacrifice the flow state and deep satisfaction developers experience when writing code by hand. What are we losing?

Accuracy and scalability of asynchronous compressible flow solver for transitional flows
Aswin Kumar Arumugam, Shubham Kumar Goswami, Nagabhushana Rao Vadlamani, Konduri Aditya
https://arxiv.org/abs/2506.03027

Accuracy and scalability of asynchronous compressible flow solver for transitional flows
To overcome the communication bottlenecks observed in state-of-the-art parallel time-dependent flow solvers at extreme scales, an asynchronous computing approach that relaxes communication and synchronization at a mathematical level was previously developed. This approach preserves high-order accuracy of computations near processing element boundaries using asynchrony-tolerant (AT) schemes while significantly improving the scalability. The numerical properties of the AT schemes were studied bas…

This https://arxiv.org/abs/2505.05128 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Constraints Preserving Lax-Wendroff Flux Reconstruction for Relativistic Hydrodynamics with General Equations of State
In the realm of relativistic astrophysics, the ideal equation of state with a constant adiabatic index provides a poor approximation due to its inconsistency with relativistic kinetic theory. However, it is a common practice to use it for relativistic fluid flow equations due to its simplicity. Here we develop a high-order Lax-Wendroff flux reconstruction method on Cartesian grids for solving special relativistic hydrodynamics equations with several general equations of state available in the l…

This https://arxiv.org/abs/2503.03076 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Non-Affine Extensions of the Raychaudhuri Equation in the K-essence Framework
We present a new avenue of the Raychaudhuri Equation (RE) by introducing a non-affine parametrization within the k-essence framework. This modification accounts for non-geodesic flow curves, leading to emergent repulsive effects in cosmic evolution. Using a DBI-type k-essence Lagrangian, we derive a modified RE and demonstrate its ability to address the Hubble tension while predicting a natural emergence of a dynamical dark energy equation of state. Our Bayesian analysis, constrained by cosmolo…

Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
Emmanuel O. Badmus, Amritanshu Pandey
https://arxiv.org/abs/2506.03430

Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
This paper presents a \textit{physics-based} steady-state equivalent circuit model of a two-stage bidirectional inverter. These inverters connect distributed energy resources (DERs), such as photovoltaic (PV) and battery systems, to distribution grids. Existing inverter models have technical gaps on three fronts: i) inadequate modeling of inverter losses, ii) use of mathematical abstractions for bidirectional flow of power, and iii) inability to integrate different control modes into nonlinear …

Global resistive MHD accretion flows around spinning AGNs: impact of resistivity on MAD state
Ramiz Aktar, Kuo-Chuan Pan, Toru Okuda
https://arxiv.org/abs/2505.23051

Global resistive MHD accretion flows around spinning AGNs: impact of resistivity on MAD state
In this study, we investigate the effect of resistivity on the dynamics of global magnetohydrodynamic accretion flows (Res-MHD) around a spinning supermassive black hole. We perform a comparative study of 2D and 3D resistive models around black holes. We examine accretion flow dynamics considering globally uniform resistivity values, ranging from $\sim 0$ to 0.1. During the simulation time of $t \lesssim 1000~t_g$, we find that the mass accretion rate is comparable for both the 2D and 3D models…

This https://arxiv.org/abs/2505.21469 has been replaced.
initial toot: https://mastoxiv.page/@ar…

PropMolFlow: Property-guided Molecule Generation with Geometry-Complete Flow Matching
Molecule generation is advancing rapidly in chemical discovery and drug design. Flow matching methods have recently set the state of the art (SOTA) in unconditional molecule generation, surpassing score-based diffusion models. However, diffusion models still lead in property-guided generation. In this work, we introduce PropMolFlow, a novel approach for property-guided molecule generation based on geometry-complete SE(3)-equivariant flow matching. Integrating five different property embedding m…

Modelling the evolution of flow-induced anisotropy of concentrated suspensions
Pappu Acharya, Romain Mari
https://arxiv.org/abs/2506.05222 https://

Modelling the evolution of flow-induced anisotropy of concentrated suspensions
Suspensions, which exhibit complex behaviors such as shear thickening, thinning, and jamming, are prevalent in nature and industry. However, predicting the mechanical properties of concentrated suspensions, in both steady state and the transient regime, remains a significant challenge, impacting product quality and process efficiency. In this study, we focus on developing a robust theoretical framework to explain how flow history governs the anisotropy of mechanical responses in suspensions of …

Rate constants and product yields for the C CH3CHO reaction at low temperatures
Kevin M. Hickson, Jean-Christophe Loison, Valentine Wakelam
https://arxiv.org/abs/2506.04794

Rate constants and product yields for the C + CH3CHO reaction at low temperatures
Reactions involving atomic carbon in its ground electronic state, C(3P), play an important role in astrochemistry due to high C-atom abundance levels. Here we performed a kinetic investigation of the reaction between C(3P) and acetaldehyde, CH3CHO, determining rate constants for this process over the 50-296 K range. Measurements of the formation of atomic hydrogen, H(2S), were also performed to provide insight into product formation. Experiments were conducted using a supersonic flow reactor co…

Modeling and Simulation of Coupled Biochemical and Two-Phase Compositional Flow in Underground Hydrogen Storage
Elyes Ahmed, Brahim Amaziane, Salaheddine Chabab, St\'ephanie Delage Santacreu, Guillaume Galli\'ero, Olav M{\o}yner, Xavier Raynaud
https://arxiv.org/abs/2506.02582

Modeling and Simulation of Coupled Biochemical and Two-Phase Compositional Flow in Underground Hydrogen Storage
Integrating microbial activity into underground hydrogen storage models is crucial for simulating long-term reservoir behavior. In this work, we present a coupled framework that incorporates bio-geochemical reactions and compositional flow models within the Matlab Reservoir Simulation Toolbox (MRST). Microbial growth and decay are modeled using a double Monod formulation, with populations influenced by hydrogen and carbon dioxide availability. First, a refined Equation of State (EoS) is employe…

Topological Adaptive Least Mean Squares Algorithms over Simplicial Complexes
Lorenzo Marinucci, Claudio Battiloro, Paolo Di Lorenzo
https://arxiv.org/abs/2505.23160

Topological Adaptive Least Mean Squares Algorithms over Simplicial Complexes
This paper introduces a novel adaptive framework for processing dynamic flow signals over simplicial complexes, extending classical least-mean-squares (LMS) methods to high-order topological domains. Building on discrete Hodge theory, we present a topological LMS algorithm that efficiently processes streaming signals observed over time-varying edge subsets. We provide a detailed stochastic analysis of the algorithm, deriving its stability conditions, steady-state mean-square-error, and converge…

Distribution System State and Impedance Estimation Augmented with Carson's Equations
Marta Vanin, Frederik Geth, Rahmat Heidari, Dirk Van Hertem
https://arxiv.org/abs/2506.04949

Distribution System State and Impedance Estimation Augmented with Carson's Equations
The impedances of cables and lines used in (multi-conductor) distribution networks are usually unknown or approximated, and may lead to problematic results for any physics-based power system calculation, e.g., (optimal) power flow. Learning parameters from time series data is one of the few available options to obtain improved impedance models. This paper presents an approach that combines statistical learning concepts with the exploitation of domain knowledge, in the form of Carson's equations…

This https://arxiv.org/abs/2505.22737 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Nonlinear Diffusion and Decay of an Expanding Turbulent Blob
Turbulence, left unforced, decays and invades the surrounding quiescent fluid. Though ubiquitous, this simple phenomenon has proven hard to capture within a simple and general framework. Experiments in conventional turbulent flow chambers are inevitably complicated by proximity to boundaries and mean flow, obscuring the fundamental aspects of the relaxation to the quiescent fluid state. Here, we circumvent these issues by creating a spatially-localized blob of turbulent fluid using eight conver…

This https://arxiv.org/abs/2408.12228 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A nonstandard numerical scheme for a novel SECIR integro-differential equation-based model allowing nonexponentially distributed stay times
Ordinary differential equations (ODE) are a popular tool to model the spread of infectious diseases, yet they implicitly assume an exponential distribution to describe the flow from one infection state to another. However, scientific experience yields more plausible distributions where the likelihood of disease progression changes accordingly with the duration spent in a particular state of the disease. Furthermore, transmission dynamics depend heavily on the infectiousness of individuals. The …

Elastic turbulence in highly entangled polymers and wormlike micelles
Theo A. Lewy, Suzanne M. Fielding, Peter D. Olmsted, Rich R. Kerswell
https://arxiv.org/abs/2506.07146

Elastic turbulence in highly entangled polymers and wormlike micelles
We show theoretically that an initially homogeneous planar Couette flow of a concentrated polymeric fluid is linearly unstable to the growth of two-dimensional (2D) perturbations, within two widely used constitutive models: the Johnson-Segalman model and the Rolie-Poly model. We perform direct nonlinear simulations of both models in 2D to show that this instability leads to a state of elastic turbulence comprising several narrow shear bands that dynamically coalesce, split and interact. Importa…

The Close AGN Reference Survey (CARS). Long-term spectral variability study of the changing look AGN Mrk 1018
T. Saha, M. Krumpe, A. Markowitz, M. Powell, G. Leung, F. Combes, R. E. McElroy, J. S. Elford, M. Gaspari, N. Winkel, A. L. Coil, T. Urrutia
https://arxiv.org/abs/2506.03061

The Close AGN Reference Survey (CARS). Long-term spectral variability study of the changing look AGN Mrk 1018
Changing-look AGNs (CLAGN) are accreting supermassive black hole systems that undergo variations in optical spectral type, driven by major changes in accretion rate. Mrk 1018 has undergone two transitions, a brightening event in the 1980s and a transition back to a faint state over the course of 2-3 years in the early 2010s. We characterize the evolving physical properties of the source's inner accretion flow, particularly during the bright-to-faint transition, as well as the morphological prop…

Nonlinear Diffusion and Decay of an Expanding Turbulent Blob
Takumi Matsuzawa, Minhui Zhu, Nigel Goldenfeld, William T. M. Irvine
https://arxiv.org/abs/2505.22737

Nonlinear Diffusion and Decay of an Expanding Turbulent Blob
Turbulence, left unforced, decays and invades the surrounding quiescent fluid. Though ubiquitous, this simple phenomenon has proven hard to capture within a simple and general framework. Experiments in conventional turbulent flow chambers are inevitably complicated by proximity to boundaries and mean flow, obscuring the fundamental aspects of the relaxation to the quiescent fluid state. Here, we circumvent these issues by creating a spatially-localized blob of turbulent fluid using eight conver…

On novel Hamiltonian description of the nonholonomic Suslov problem
A. V. Tsiganov
https://arxiv.org/abs/2505.19594 https://arxiv.org…

On novel Hamiltonian description of the nonholonomic Suslov problem
We present some new Poisson bivectors that are invariants by the flow of the nonholonomic Suslov problem. Two rank four invariant Poisson bivectors have globally defined Casimir functions and, therefore, define cubic Poisson brackets on the five dimensional state space with standard symplectic leaves. For the Suslov gyrostat in the potential field we found rank two Poisson bivectors having only two globally defined Casimir functions and, therefore, we say about formal Hamiltonian description in…