Tootfinder

 'No Labels' Pat McCrory Quits Before Spoiler Candidate Committee Launch
AS RFK JR. ponders which celebrity to tap as his VP, another third-party presidential ticket seems to be running out of steam.
No Labels, the self-proclaimed centrist organization with dark money funding, had one of its national leaders abruptly resign Wednesday.
Former North Carolina Gov. #Pat

‘No Labels’ Co-Chair Quits Day Before Spoiler Candidate Committee Launch
Former North Carolina Gov. Pat McCrory (R) informed No Labels he was quitting to spend more time with his family

Check out #TCEA online courses. Find them all at #edtech

Machine Learning Assisted Sorting of Active Microswimmers
Abdolhalim Torrik, Mahdi Zarif
https://arxiv.org/abs/2404.08275 https://arx…

Machine Learning Assisted Sorting of Active Microswimmers
Active matter systems being in a non-equilibrium state, exhibit complex behaviors such as self-organization and giving rise to emergent phenomena. There are many examples of active particles with biological origins, including bacteria and spermatozoa, or with artificial origins, such as self-propelled swimmers and Janus particles. The ability to manipulate active particles is vital for their effective application e.g. separating motile spermatozoa from nonmotile and dead ones, to increase ferti…

This https://arxiv.org/abs/2305.17443 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Resilience in Platoons of Cooperative Heterogeneous Vehicles: Self-organization Strategies and Provably-correct Design
This work proposes provably-correct self-organizing strategies for platoons of heterogeneous vehicles. We refer to self-organization as the capability of a platoon to autonomously homogenize to a common group behavior. We show that self-organization promotes resilience to acceleration limits and communication failures, i.e., homogenizing to a common group behavior makes the platoon recover from these causes of impairments. In the presence of acceleration limits, resilience is achieved by self-o…

Designing Complexity? The Role of Self-Organization in Urban planning and Design
Anat Goldman, Efrat Blumenfeld-Lieberthal
https://arxiv.org/abs/2403.14175

Designing Complexity? The Role of Self-Organization in Urban planning and Design
This chapter explores the concept of self-organization in urban planning and design, highlighting its role in shaping the unique characteristics of cities. It examines how various socio-economic, cultural, and political factors contribute to the development of distinct architectural styles, emphasizing the morphological patterns and self-organization principles. The chapter addresses the emergence of scaling laws and fractal geometry in urban forms, using historical and contemporary examples to…

"This assault began last August, after Schwalb announced he was investigating the Federalist Society for alleged self-dealing. Leo is accused of using millions of dollars in tax-exempt organization funds to prop up his private consulting firm, CRC Advisors."
#Trump’s 'court whisperer' unleashes #GOP

Trump’s 'court whisperer' unleashes GOP assault on DC attorney general investigating him
GOP activist Leonard Leo is co-chair of the influential Federalist Society, which has produced all six of the Supreme Court of the United States' (SCOTUS) conservative jurists — including Chief Justice John Roberts. And ever since the office of Washington, DC Attorney General Brian Schwalb started i...

The emergence of the width of subjective temporality: the self-simulational theory of temporal extension from the perspective of the free energy principle
Jan Erik Bellingrath
https://arxiv.org/abs/2404.12895

The emergence of the width of subjective temporality: the self-simulational theory of temporal extension from the perspective of the free energy principle
The self-simulational theory of temporal extension describes an information-theoretically formalized mechanism by which the width of subjective temporality emerges from the architecture of self-modelling. In this paper, the perspective of the free energy principle will be assumed, to cast the emergence of subjective temporality, along with a mechanism for duration estimation, from first principles of the physics of self-organization. Building on the transparent inferential format of self-modell…

This https://arxiv.org/abs/2310.02257 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Local Volume Concentration, Packing Domains and Scaling Properties of Chromatin
We propose the Self Returning Excluded Volume (SR-EV) model for the structure of chromatin based on stochastic rules and physical interactions that is able to capture the observed behavior across imaging and sequencing based measures of chromatin organization. The SR-EV model takes the return rules of the Self Returning Random Walk, incorporates excluded volume interactions, chain connectivity and expands the length scales range from 10 nm to over 1 micron. The model is computationally fast and…

Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning
Daniel Capell\'an-Mart\'in, Abhijeet Parida, Juan J. G\'omez-Valverde, Ramon Sanchez-Jacob, Pooneh Roshanitabrizi, Marius G. Linguraru, Mar\'ia J. Ledesma-Carbayo, Syed M. Anwar
https://arxiv.org/abs/2402.14741

Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning
Tuberculosis (TB) remains a significant global health challenge, with pediatric cases posing a major concern. The World Health Organization (WHO) advocates for chest X-rays (CXRs) for TB screening. However, visual interpretation by radiologists can be subjective, time-consuming and prone to error, especially in pediatric TB. Artificial intelligence (AI)-driven computer-aided detection (CAD) tools, especially those utilizing deep learning, show promise in enhancing lung disease detection. Howeve…

Markov State Model Approach to Simulate Self-Assembly
Anthony Trubiano, Michael F. Hagan
https://arxiv.org/abs/2405.02467 https://arx…

Markov State Model Approach to Simulate Self-Assembly
Computational modeling of assembly is challenging for many systems because their timescales vastly exceed those accessible to simulations. This article describes the MultiMSM, which is a general framework that uses Markov state models (MSMs) to enable simulating self-assembly and self-organization on timescales that are orders of magnitude longer than those accessible to brute force dynamics simulations. In contrast to previous MSM approaches to simulating assembly, the framework describes simu…

Non-Equilibrium and Self-Organization Evolution in Hot-Spot Ignition Processes
X. -Y. Fu, Z. -Y. Guo, Q. -H. Wang, R. -C. Wang, D. Wu, J. Zhang
https://arxiv.org/abs/2403.13586

Non-Equilibrium and Self-Organization Evolution in Hot-Spot Ignition Processes
Due to disparate formation mechanisms, as for central hot-spot ignition and fast ignition, the initial temperatures of electron and ions usually differs from each other in the hot spot. Considering the percipient dependence of fusion cross-section and energy losses on temperature, this difference manifests the inadequacy of the equilibrium theoretical model in accurately depicting the ignition condition and evolution of the hot-spot. In this work, we studied a non-equilibrium model and extended…

Synchronized Stepwise Control of Firing and Learning Thresholds in a Spiking Randomly Connected Neural Network toward Hardware Implementation
Kumiko Nomura, Yoshifumi Nishi
https://arxiv.org/abs/2404.17241

Synchronized Stepwise Control of Firing and Learning Thresholds in a Spiking Randomly Connected Neural Network toward Hardware Implementation
We propose hardware-oriented models of intrinsic plasticity (IP) and synaptic plasticity (SP) for spiking randomly connected recursive neural network (RNN). Although the potential of RNNs for temporal data processing has been demonstrated, randomness of the network architecture often causes performance degradation. Self-organization mechanism using IP and SP can mitigate the degradation, therefore, we compile these functions in a spiking neuronal model. To implement the function of IP, a variab…

Markov State Model Approach to Simulate Self-Assembly
Anthony Trubiano, Michael F. Hagan
https://arxiv.org/abs/2405.02467 https://arx…

Markov State Model Approach to Simulate Self-Assembly
Computational modeling of assembly is challenging for many systems because their timescales vastly exceed those accessible to simulations. This article describes the MultiMSM, which is a general framework that uses Markov state models (MSMs) to enable simulating self-assembly and self-organization on timescales that are orders of magnitude longer than those accessible to brute force dynamics simulations. In contrast to previous MSM approaches to simulating assembly, the framework describes simu…

A communication protocol based on NK boolean networks for coordinating collective action
Yori Ong
https://arxiv.org/abs/2404.16240 https://

A communication protocol based on NK boolean networks for coordinating collective action
In this paper, I describe a digital social communication protocol (Gridt) based on Kauffman's NK boolean networks. The main assertion is that a communication network with this topology supports infinitely scalable self-organization of collective action without requiring hierarchy or central control. The paper presents the functionality of this protocol and substantiates the following propositions about its function and implications: (1) Communication via NK boolean networks facilitates coordina…

This https://arxiv.org/abs/2312.01923 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Clonal dynamics of surface-driven growing tissues
The self-organization of cells into complex tissues relies on a tight coordination of cell behavior. Identifying the cellular processes driving tissue growth is key to understanding the emergence of tissue forms and devising targeted therapies for aberrant growth, such as in cancer. Inferring the mode of tissue growth, whether it is driven by cells on the surface or cells in the bulk, is possible in cell culture experiments, but difficult in most tissues in living organisms (in vivo). Genetic t…

Urgent Edge Computing
Patrizio Dazzi, Luca Ferrucci, Marco Danelutto, Konstantinos Tserpes, Antonis Makris, Theodoros Theodoropoulos, Jacopo Massa, Emanuele Carlini, Matteo Mordacchini
https://arxiv.org/abs/2404.13411

Urgent Edge Computing
This position paper introduces Urgent Edge Computing (UEC) as a paradigm shift addressing the evolving demands of time-sensitive applications in distributed edge environments, in time-critical scenarios. With a focus on ultra-low latency, availability, resource management, decentralization, self-organization, and robust security, UEC aims to facilitate operations in critical scenarios such as disaster response, environmental monitoring, and smart city management. This paper outlines and discuss…

Non-Equilibrium and Self-Organization Evolution in Hot-Spot Ignition Processes
X. -Y. Fu, Z. -Y. Guo, Q. -H. Wang, R. -C. Wang, D. Wu, J. Zhang
https://arxiv.org/abs/2403.13586

Non-Equilibrium and Self-Organization Evolution in Hot-Spot Ignition Processes
Due to disparate formation mechanisms, as for central hot-spot ignition and fast ignition, the initial temperatures of electron and ions usually differs from each other in the hot spot. Considering the percipient dependence of fusion cross-section and energy losses on temperature, this difference manifests the inadequacy of the equilibrium theoretical model in accurately depicting the ignition condition and evolution of the hot-spot. In this work, we studied a non-equilibrium model and extended…

Anomalous Directed Percolation on a Dynamic Network using Rydberg Facilitation
Daniel Brady, Simon Ohler, Johannes Otterbach, Michael Fleischhauer
https://arxiv.org/abs/2404.16523

Anomalous Directed Percolation on a Dynamic Network using Rydberg Facilitation
The facilitation of Rydberg excitations in a gas of atoms provides an ideal model system to study epidemic evolution on (dynamic) networks and self organization of complex systems to the critical point of a non-equilibrium phase transition. Using Monte-Carlo simulations and a machine learning algorithm we show that the universality class of this phase transition can be tuned. The classes include directed percolation (DP), the most common class in short-range spreading models, and mean-field (MF…

This https://arxiv.org/abs/2311.07135 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Pulsed interactions unify reaction-diffusion and spatial nonlocal models for biological pattern formation
The emergence of a spatially-organized population distribution depends on the dynamics of the population and mediators of interaction (activators and inhibitors). Two broad classes of models have been used to investigate when and how self-organization is triggered, namely, reaction-diffusion and spatially nonlocal models. Nevertheless, these models implicitly assume smooth propagation scenarios, neglecting that individuals many times interact by exchanging short and abrupt pulses of the mediati…

Internally Driven $\beta$-plane Plasma Turbulence Using the Hasegawa-Wakatani System
\"Ozg\"ur D. G\"urcan
https://arxiv.org/abs/2403.09911 …

Internally Driven $β$-plane Plasma Turbulence Using the Hasegawa-Wakatani System
General problem of plasma turbulence can be formulated as advection of potential vorticity (PV), which handles flow self-organization, coupled to a number of other fields, whose gradients provide free energy sources. Therefore, focusing on PV evolution separates the underlying linear instability from the flow self-organization, and clarifies key spatial scales in terms of balances between various time scales. Considering the Hasegawa-Wakatani model as a minimal, nontrivial model of plasma turbu…

From hydrodynamics to dipolar colloids: modeling complex interactions and self-organization with generalized potentials
T. J. J. M. van Overveld, W. G. Ellenbroek, J. M. Meijer, H. J. H. Clercx, M. Duran-Matute
https://arxiv.org/abs/2402.10994

From hydrodynamics to dipolar colloids: modeling complex interactions and self-organization with generalized potentials
The self-organization of clusters of particles is a fundamental phenomenon across various physical systems, including hydrodynamic and colloidal systems. One example is that of dense spherical particles submerged in a fluid and subjected to horizontal oscillations. The interaction of the particles with the oscillating flow leads to the formation of one-particle-thick chains or multiple-particle-wide bands. In this study, we model the hydrodynamic interactions between such particles and parallel…

This https://arxiv.org/abs/2207.06610 has been replaced.
link: https://scholar.google.com/scholar?q=a

Mesoscopic transport in KSTAR plasmas: avalanches and the $E \times B$ staircase
The self-organization is one of the most interesting phenomena in the non-equilibrium complex system, generating ordered structures of various size and duration. In tokamak plasmas, various self-organized phenomena have been reported, and two of them, coexisting in the near-marginal (interaction dominant) regime, are avalanches and the $E \times B$ staircase. Avalanches mean the ballistic flux propagation event through successive interactions as it propagates, and the $E \times B$ staircase mea…

This https://arxiv.org/abs/2207.06610 has been replaced.
link: https://scholar.google.com/scholar?q=a

Mesoscopic transport in KSTAR plasmas: avalanches and the $E \times B$ staircase
The self-organization is one of the most interesting phenomena in the non-equilibrium complex system, generating ordered structures of various size and duration. In tokamak plasmas, various self-organized phenomena have been reported, and two of them, coexisting in the near-marginal (interaction dominant) regime, are avalanches and the $E \times B$ staircase. Avalanches mean the ballistic flux propagation event through successive interactions as it propagates, and the $E \times B$ staircase mea…

This https://arxiv.org/abs/2307.00489 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Theoretical Limits of Energy Extraction in Active Fluids
Active materials form a class of far-from-equilibrium systems that are driven internally and exhibit self-organization which can be harnessed to perform mechanical work. Inspired by experiments on synthetic active networks we examine limits of work extraction from an active viscoelastic medium by analyzing the transport of a particle. The active viscoelastic material possesses an equilibrium density where the active and passive forces are balanced out. In one dimension, a gliding activation fro…

Toward a realistic model of multilayered bacterial colonies
M. T. Khan, J. Cammann, A. Sengupta, E. Renzi, M. G. Mazza
https://arxiv.org/abs/2403.14855 htt…

Toward a realistic model of multilayered bacterial colonies
Bacteria are prolific at colonizing diverse surfaces under a widerange of environmental conditions, and exhibit fascinating examples of self-organization across scales. Though it has recently attracted considerable interest, the role of mechanical forces in the collective behavior of bacterial colonies is not yet fully understood. Here, we construct a model of growing rod-like bacteria, such as Escherichia coli based purely on mechanical forces. We perform overdamped molecular dynamics simulati…