Tootfinder

🇺🇦 #NowPlaying on KEXP's #SundaySoul
Friction:
🎵 Party
#Friction
https://cardioparty.bandcamp.com/track/friction
https://open.spotify.com/track/6nsOFVX8ZFeDrYcuiPSxPQ

Domestic Heat Pumps: Barriers to Installation (2022) - A case study in the friction in specifying and installing a heat-pump in the UK, even for a savvy early adopter. #heatpump #netZero #futureReady

Domestic Heat Pumps: Barriers to Installation (2022)
A case study in the friction in specifying and installing a heat-pump in the UK, even for a savvy early adopter. #heatpump #netZero #futureReady

TL;DR:🧵
Today I lost 2 hours because TypeORM ESM NestJS is a fragile combo when it comes to migrations.
No migration:status.
No ESM-compatible CLI.
No schema awareness.
Class name must match filename (with timestamp!).
So I wrote my own migration-status.ts script to compare database state with the migration folder.
Lesson: if you need INSERT INTO "schema"."table", don’t forget the schema.
ORMs give you boilerplate — and tra…

Day#10 Migrations vs Developer: A story of friction
Today was supposed to be a calm day. I just wanted to add a single value to a lookup table using a TypeORM migration. Two hours later, I ...

An LLM's Apology: Outsourcing Awkwardness in the Age of AI
Twm Stone, Anna Soligo
https://arxiv.org/abs/2506.13685 https://arxiv.…

An LLM's Apology: Outsourcing Awkwardness in the Age of AI
A key part of modern social dynamics is flaking at short notice. However, anxiety in coming up with believable and socially acceptable reasons to do so can instead lead to 'ghosting', awkwardness, or implausible excuses, risking emotional harm and resentment in the other party. The ability to delegate this task to a Large Language Model (LLM) could substantially reduce friction and enhance the flexibility of user's social life while greatly minimising the aforementioned creative burden and mora…

AgentFacts: Universal KYA Standard for Verified AI Agent Metadata & Deployment
Jared James Grogan
https://arxiv.org/abs/2506.13794 https://

AgentFacts: Universal KYA Standard for Verified AI Agent Metadata & Deployment
Enterprise AI deployment faces critical "Know Your Agent" (KYA) challenges where organizations must verify third-party agent capabilities and establish trust without standardized metadata or verification infrastructure. Current approaches rely on self-declared capabilities and custom integration processes that create trust gaps and coordination friction limiting confident enterprise adoption. This paper presents AgentFacts, a universal metadata standard that enables systematic agent verificatio…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Essential Logic:
🎵 World Friction
#EssentialLogic
https://essentiallogic.bandcamp.com/track/world-friction
https://open.spotify.com/track/0V3FCyX3XYTPK8bWTex6jN

Heavy-ball dynamics with Hessian-driven damping for non-convex optimization under the {\L}ojasiewicz condition
Vassilis Apidopoulos, Vasiliki Mavrogeorgou, Theodoros G. Tsironis
https://arxiv.org/abs/2506.11705

Heavy-ball dynamics with Hessian-driven damping for non-convex optimization under the Łojasiewicz condition
In this paper, we examine the convergence properties of heavy-ball dynamics with Hessian-driven damping in smooth non-convex optimization problems satisfying a Łojasiewicz condition. In this general setting, we provide a series of tight, worst-case optimal convergence rate guarantees as a function of the dynamics' friction coefficients and the Łojasiewicz exponent of the problem's objective function. Importantly, the linear rates that we obtain improve on previous available rates and they sug…

Dynamics of low-mass black hole seeds in the BRAHMA simulations using subgrid-dynamical friction: Impact on merger-driven black hole growth in the high redshift Universe
Aklant K. Bhowmick, Laura Blecha, Luke Z. Kelley, Aneesh Sivasankaran, Paul Torrey, Rainer Weinberger, Nianyi Chen, Mark Vogelsberger, Lars Hernquist, Priyamvada Natarajan
https://…

Dynamics of low-mass black hole seeds in the BRAHMA simulations using subgrid-dynamical friction: Impact on merger-driven black hole growth in the high redshift Universe
We analyze the dynamics of low-mass black hole (BH) seeds in the high-redshift ($z\gtrsim5$) Universe using a suite of $[4.5~\mathrm{Mpc}]^3$ and $[9~\mathrm{Mpc}]^3$ BRAHMA cosmological hydrodynamic simulations. The simulations form seeds with mass $M_{\mathrm{seed}}=2.2\times10^3~M_{\odot}$ in halos that exceed critical thresholds of dense & metal-poor gas mass ($5-150~M_{\mathrm{seed}}$) and the halo mass ($1000-10000~M_{\mathrm{seed}}$). While the initial BRAHMA boxes pinned the BHs to the …

Vib2Move: In-Hand Object Reconfiguration via Fingertip Micro-Vibrations
Xili Yi, Nima Fazeli
https://arxiv.org/abs/2506.10923 https://

Vib2Move: In-Hand Object Reconfiguration via Fingertip Micro-Vibrations
We introduce Vib2Move, a novel approach for in-hand object reconfiguration that uses fingertip micro-vibrations and gravity to precisely reposition planar objects. Our framework comprises three key innovations. First, we design a vibration-based actuator that dynamically modulates the effective finger-object friction coefficient, effectively emulating changes in gripping force. Second, we derive a sliding motion model for objects clamped in a parallel gripper with two symmetric, variable-fricti…

Subdiffusion from competition between multi-exponential friction memory and energy barriers
Anton Klimek, Benjamin A. Dalton, Roland R. Netz
https://arxiv.org/abs/2506.03036

Subdiffusion from competition between multi-exponential friction memory and energy barriers
Subdiffusion is a hallmark of complex systems, ranging from protein folding to transport in viscoelastic media. However, despite its pervasiveness, the mechanistic origins of subdiffusion remain contested. Here, we analyze both Markovian and non-Markovian dynamics, in the presence and absence of energy barriers, in order to disentangle the distinct contributions of memory-dependent friction and energy barriers to the emergence of subdiffusive behavior. Focusing on the mean squared displacement …

This https://arxiv.org/abs/2303.03489 has been replaced.
link: https://scholar.google.com/scholar?q=a

Large time behavior for the 3D Navier-Stokes with Navier boundary conditions
We study the three-dimensional incompressible Navier-Stokes equations in a smooth bounded domain $Ω$ with initial velocity $u_0$ square-integrable, divergence-free and tangent to $\partial Ω$. We supplement the equations with the Navier friction boundary conditions $u \cdot n = 0$ and $[(2Su)n + αu]_{tang} = 0$, where $n$ is the unit exterior normal to $\partial Ω$, $Su = (Du + (Du)^t)/2$, $α\in C^0(\partialΩ)$ is the boundary friction coefficient and $[\cdot]_{tang}$ is the projection of…

Yes, yes, yes, yes, @…! 👏
“For now, I’m planning on continuing to roll up my sleeves. I want to make things because I’m human and alive. I want to go on journeys and grow. I’m not always looking for an easy path, I want the friction. Because if I give up the journey, what am I really making? What do I actually learn?”

Domestic Heat Pumps: Barriers to Installation (2022) - A case study in the friction in specifying and installing a heat-pump in the UK, even for a savvy early adopter. #heatpump #netZero #futureReady

Domestic Heat Pumps: Barriers to Installation (2022)
A case study in the friction in specifying and installing a heat-pump in the UK, even for a savvy early adopter. #heatpump #netZero #futureReady

This https://arxiv.org/abs/2504.08884 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

The role of wind asphericity in dynamical friction
Dynamical friction (DF) may affect the dynamics of stars moving through dense media. This is the case for stars and compact objects (COs) crossing active galactic nuclei (AGN) discs, stellar clusters, and common envelopes (CE), driving stellar migration. DF may decelerate the moving stellar object and may also, under certain conditions, produce an acceleration. In this paper, we study the DF and its effects in the interaction between a star and the ambient gaseous medium through a set of two-di…

Discrete Element Parameter Calibration of Livestock Salt Based on Particle Scaling
Lulu Nie, Baoqin Wen, Jingbin Li, Shufeng Li, Yali Li, Zhaokun Zhang, Zhiyuan Wang, Zhihao Fan
https://arxiv.org/abs/2506.03786

Discrete Element Parameter Calibration of Livestock Salt Based on Particle Scaling
In order to obtain accurate contact parameters for the discrete element simulation of salt particles used in animal husbandry, the principle of particle contact scaling and dimensional analysis were used for particle scaling. Firstly, the Plackett Burman experiment was used to screen the parameters that significantly affect the angle of repose: salt salt rolling friction coefficient, salt salt recovery coefficient, and salt steel rolling friction coefficient. Considering the influence of other …

Impact of friction force and retrieval speed on in silico mechanical thrombectomies: a sensitivity analysis
Mahesh S. Nagargoje, Virginia Fregona, Giulia Luraghi, Francesco Migliavacca, Demitria A Poulos, Bryan C Good, Jose Felix Rodriguez Matas
https://arxiv.org/abs/2506.03812

Impact of friction force and retrieval speed on in silico mechanical thrombectomies: a sensitivity analysis
Background: Mechanical Thrombectomy (MT) is a widely accepted first-line treatment for Acute Ischemic Stroke (AIS) and it has been studied using in vitro and in silico models. Thrombectomy outcomes have been performed for patient-specific cases using in silico models. However, until now, in vivo friction coefficients for stent-vessel, stent-clot, and clot-vessel interactions are unknown, but in vitro experiments have been attempted with significant standard deviations. These interactions and fr…

🇺🇦 Auf radioeins läuft...
DJ Friction:
🎵 Could Heaven Ever Be Like This
#NowPlaying #DJFriction
https://open.spotify.com/track/4eOOrfLqTnbO6fUz7ACKDY

Effect of crystallinity on the frictional and wear performance of molybdenum disulfide: A molecular dynamics study
Abhiram B R, Ilia Ponomarev, Tomas Polcar
https://arxiv.org/abs/2506.00690

Effect of crystallinity on the frictional and wear performance of molybdenum disulfide: A molecular dynamics study
The frictional and wear performance of molybdenum disulfide (MoS2) is significantly influenced by its intrinsic arrangement of crystals or crystallinity. In this study, we investigate the effect of crystallinty on coefficient of friction (COF) and wear in MoS2 using a suite of reactive molecular dynamics (MD) simulations. A range of configurations, from amorphous to crystalline, is modeled to capture the effect of structural order on the tribological behavior. To study friction and wear, we sim…

This https://arxiv.org/abs/2501.03542 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Turbulence modeling over riblets via domain transformation
Numerical and experimental studies have demonstrated the drag-reducing potential of carefully designed streamwise-elongated riblets in lowering skin-friction drag. To support the systematic design of such surface corrugations, recent efforts have integrated simplified versions of the governing equations with innovative methods for representing the effects of rough boundaries on flow dynamics. Notably, the statistical response of the eddy-viscosity-enhanced linearized Navier-Stokes equations has…

AI Magnetic Levitation (Maglev) Conveyor for Automated Assembly Production
Ray Wai Man Kong
https://arxiv.org/abs/2506.08039 https://…

AI Magnetic Levitation (Maglev) Conveyor for Automated Assembly Production
Efficiency, speed, and precision are essential in modern manufacturing. AI Maglev Conveyor system, combining magnetic levitation (maglev) technology with artificial intelligence (AI), revolutionizes automated production processes. This system reduces maintenance costs and downtime by eliminating friction, enhancing operational efficiency. It transports goods swiftly with minimal energy consumption, optimizing resource use and supporting sustainability. AI integration enables real-time monitorin…

This https://arxiv.org/abs/2505.17418 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

What Needs Attention? Prioritizing Drivers of Developers' Trust and Adoption of Generative AI
Generative AI (genAI) tools are advertised as productivity aids. Yet, issues related to miscalibrated trust and usage friction continue to hinder their adoption. Additionally, AI can be exclusionary, failing to support diverse users adequately, further exacerbating these concerns. One such aspect of diversity is cognitive diversity -- variations in users' cognitive styles -- that leads to divergence in interaction styles. When an individual's cognitive styles are unsupported, it creates additio…

Static vs dynamic rough energy landscapes: Where is diffusion faster?
Dmitrii E. Makarov, Peter Sollich
https://arxiv.org/abs/2506.02195 https://

Static vs dynamic rough energy landscapes: Where is diffusion faster?
Molecules in dense environments, such as biological cells, are subjected to forces that fluctuate both in time and in space. While spatial fluctuations are captured by Lifson-Jackson-Zwanzig's model of "diffusion in a rough potential", and temporal fluctuations are often viewed as leading to additional friction effects, a unified view where the environment fluctuates both in time and in space is currently lacking. Here we introduce a discrete-state model of a landscape fluctuating both in time …

Geoff: The Generic Optimization Framework & Frontend for Particle Accelerator Controls
Penelope Madysa, Sabrina Appel, Verena Kain, Michael Schenk
https://arxiv.org/abs/2506.03796

Geoff: The Generic Optimization Framework & Frontend for Particle Accelerator Controls
Geoff is a collection of Python packages that form a framework for automation of particle accelerator controls. With particle accelerator laboratories around the world researching machine learning techniques to improve accelerator performance and uptime, a multitude of approaches and algorithms have emerged. The purpose of Geoff is to harmonize these approaches and to minimize friction when comparing or migrating between them. It provides standardized interfaces for optimization problems, utili…

Adjusting Tissue Puncture Omnidirectionally In Situ with Pneumatic Rotatable Biopsy Mechanism and Hierarchical Airflow Management in Tortuous Luminal Pathways
Botao Lin, Tinghua Zhang, Sishen Yuan, Tiantian Wang, Jiaole Wang, Wu Yuan, Hongliang Ren
https://arxiv.org/abs/2506.03017

Adjusting Tissue Puncture Omnidirectionally In Situ with Pneumatic Rotatable Biopsy Mechanism and Hierarchical Airflow Management in Tortuous Luminal Pathways
In situ tissue biopsy with an endoluminal catheter is an efficient approach for disease diagnosis, featuring low invasiveness and few complications. However, the endoluminal catheter struggles to adjust the biopsy direction by distal endoscope bending or proximal twisting for tissue sampling within the tortuous luminal organs, due to friction-induced hysteresis and narrow spaces. Here, we propose a pneumatically-driven robotic catheter enabling the adjustment of the sampling direction without t…

Non Markovian electron Brownian motion with radiation reaction force
Juan Francisco Garc\'ia-Camacho, Oliver Contreras-Vergara, Norma S\'anchez-Salas, Gonzalo Ares de Parga, Jos\'e In\'es Jim\'enez-Aquino
https://arxiv.org/abs/2505.22952

Non Markovian electron Brownian motion with radiation reaction force
In this work, we study non-Markovian electronic plasma diffusion from a classical point of view, taking into account the effects of the radiation reaction force. The electron Brownian motion is described by a Generalized Langevin Equation (GLE) characterized by an Ornstein-Uhlenbeck-type friction memory kernel. To take into account the effects of the radiation reaction force, an effective memory time which accounts for the thermal interaction of the Brownian particle with its surroundings is pr…

Rolling, sliding and trapping of driven particles in square obstacle lattices
Galor Geva, Arin Escobar, Paula Magrinya, Pablo Llombart, Alfredo Alexander-Katz, Laura R. Arriaga, Juan L. Aragones
https://arxiv.org/abs/2505.21702

Rolling, sliding and trapping of driven particles in square obstacle lattices
Transport phenomena in complex and dynamic microscopic environments are fundamentally shaped by hydrodynamic interactions. In particular, microparticle transport in porous media is governed by the delicate interplay between particle-substrate friction and pressure forces. Here, we systematically investigate the motion of externally driven rotating magnetic microparticles near a substrate patterned with a square lattice of cylindrical obstacles, a model porous medium. Remarkably, we observe a re…