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This https://arxiv.org/abs/2501.06935 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Feedback Arc Sets and Feedback Arc Set Decompositions in Weighted and Unweighted Oriented Graphs
For any arc-weighted oriented graph $D=(V(D), A(D),w)$, we write ${\rm fas}_w(D)$ to denote the minimum weight of a feedback arc set in $D$. In this paper, we consider upper bounds on ${\rm fas}_w(D)$ for arc-weight oriented graphs $D$ with bounded maximum degrees and directed girth. We obtain such bounds by introducing a new parameter ${\rm fasd}(D)$, which is the maximum integer such that $A(D)$ can be partitioned into ${\rm fasd}(D)$ feedback arc sets. This new parameter seems to be intere…

Open clusters in the outer disc studied with MEGARA@GTC Auner 1 and Berkeley 102
J. Carbajo-Hijarrubia, R. Carrera, F. Anders, C. Jordi, L. Casamiquela, L. Balaguer-N\'u\~nez, A. Gil de Paz
https://arxiv.org/abs/2506.10512

Open clusters in the outer disc studied with MEGARA@GTC Auner 1 and Berkeley 102
Open clusters offer crucial insights into stellar nucleosynthesis and the chemical evolution of the Galactic disc, as their ages and distances can be determined with higher accuracy compared to field stars. In this study, we investigate the outermost regions of the Milky Way disc using two previously unstudied open clusters -Auner 1 and Berkeley 102- located at Galactocentric distances of approximately 14 kpc in largely uncharted areas of the Galaxy. We obtained medium-resolution spectra (R > 1…

Mixed phases in feedback Ising models
Yi-Ping Ma, Ivan Sudakow, P. L. Krapivsky
https://arxiv.org/abs/2506.09025 https://arxiv.org/pd…

Mixed phases in feedback Ising models
We study mean-field Ising models whose coupling depends on the magnetization via a feedback function. We identify mixed phases (MPs) and show that they can be stable at zero temperature for sufficiently strong feedback. Moreover, stable MPs are always super-stable with perturbation decaying linearly in time. We argue that such feedback Ising models (FIMs) provide a useful framework for phase transformations between aligned phases via stable and unstable intermediate phases in multistable system…

Automatic Operation of an Articulated Dump Truck: State Estimation by Combined QZSS CLAS and Moving-Base RTK Using Multiple GNSS Receivers
Taro Suzuki, Shotaro Kojima, Kazunori Ohno, Naoto Miyamoto, Takahiro Suzuki, Kimitaka Asano, Tomohiro Komatsu, Hiroto Kakizaki
https://arxiv.org/abs/2506.02877

Automatic Operation of an Articulated Dump Truck: State Estimation by Combined QZSS CLAS and Moving-Base RTK Using Multiple GNSS Receivers
Labor shortage due to the declining birth rate has become a serious problem in the construction industry, and automation of construction work is attracting attention as a solution to this problem. This paper proposes a method to realize state estimation of dump truck position, orientation and articulation angle using multiple GNSS for automatic operation of dump trucks. RTK-GNSS is commonly used for automation of construction equipment, but in mountainous areas, mobile networks often unstable, …

Computationally Intensive Research: Advancing a Role for Secondary Analysis of Qualitative Data
Kaveh Mohajeri, Amir Karami
https://arxiv.org/abs/2506.04230

Computationally Intensive Research: Advancing a Role for Secondary Analysis of Qualitative Data
This paper draws attention to the potential of computational methods in reworking data generated in past qualitative studies. While qualitative inquiries often produce rich data through rigorous and resource-intensive processes, much of this data usually remains unused. In this paper, we first make a general case for secondary analysis of qualitative data by discussing its benefits, distinctions, and epistemological aspects. We then argue for opportunities with computationally intensive seconda…

This https://arxiv.org/abs/2505.19145 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Do Large Language Models (Really) Need Statistical Foundations?
Large language models (LLMs) represent a new paradigm for processing unstructured data, with applications across an unprecedented range of domains. In this paper, we address, through two arguments, whether the development and application of LLMs would genuinely benefit from foundational contributions from the statistics discipline. First, we argue affirmatively, beginning with the observation that LLMs are inherently statistical models due to their profound data dependency and stochastic genera…

Phase-based analysis and control of low Reynolds number aeroelastic flows
Chathura R. Sumanasiri, Tulsi Ram Sahu, Aditya G. Nair
https://arxiv.org/abs/2506.00306

Phase-based analysis and control of low Reynolds number aeroelastic flows
Flutter in lightweight airfoils under unsteady flows presents a critical challenge in aeroelastic stability and control. This study uncovers phase-localized mechanisms that drive the onset and suppression of flutter in a freely pitching airfoil at low Reynolds number. By introducing targeted impulsive stiffness perturbations, we identify critical phases that trigger instability. Using phase-sensitivity functions, energy-transfer metrics, and dynamic mode decomposition, we show that flutter aris…

Noncoherent MIMO Communications: Theoretical Foundation, Design Approaches, and Future Challenges
Khac-Hoang Ngo, Diego Cuevas, Ruben de Miguel Gil, Victor Monzon Baeza, Ana Garcia Armada, Ignacio Santamaria
https://arxiv.org/abs/2505.23172

Noncoherent MIMO Communications: Theoretical Foundation, Design Approaches, and Future Challenges
Noncoherent communication is a promising paradigm for future wireless systems where acquiring accurate channel state information (CSI) is challenging or infeasible. It provides methods to bypass the need for explicit channel estimation in practical scenarios such as high-mobility networks, massive distributed antenna arrays, energy-constrained Internet-of-Things devices, and unstructured propagation environments. This survey provides a comprehensive overview of noncoherent communication strateg…

Critical demand in a stochastic model of flows in supply networks
Yannick Feld, Marc Barthelemy
https://arxiv.org/abs/2505.24813 https://

Critical demand in a stochastic model of flows in supply networks
Supply networks are essential for modern production, yet their critical properties remain understudied. We present a stochastic model with random production capacities to analyze material flow to a root node, focusing on topology and buffer stocks. The critical demand, where unsatisfied demand diverges, is examined mostly through numerical simulations. Without stocks, minimal production dictates behavior, making topology irrelevant. With stocks, memory effects arise, making topology crucial. In…

This https://arxiv.org/abs/2505.24299 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Iion-motion simulations of a plasma-wakefield experiment at FLASHForward
In plasma-based acceleration, an ultra-relativistic particle bunch$\unicode{x2014}$or an intense laser beam$\unicode{x2014}$is used to expel electrons from its propagation path, forming a wake that is devoid of electrons. The ions, being significantly more massive, are often assumed to be stationary. However, both theory and simulations suggest that any sufficiently dense electron bunch can trigger ion motion, and its effect must be taken into account. We simulate beam-driven plasma wakefields …