Tootfinder

I'm all for electrification of energy demand, e.g. for cars, home heating, and industrial processes.
But we shouldn't be betting the climate on it alone. The share of electricity in global final energy consumption reached 20% in 2023, up from 18% in 2015 (IEA, 2024):
https://www.iea.o…

This https://arxiv.org/abs/2506.03903 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Multi-Language Detection of Design Pattern Instances
Code comprehension is often supported by source code analysis tools which provide more abstract views over software systems, such as those detecting design patterns. These tools encompass analysis of source code and ensuing extraction of relevant information. However, the analysis of the source code is often specific to the target programming language. We propose DP-LARA, a multi-language pattern detection tool that uses the multi-language capability of the LARA framework to support finding p…

Beyond Worst-Case Analysis for Symbolic Computation: Root Isolation Algorithms
Alperen A. Erg\"ur, Josu\'e Tonelli-Cueto, Elias Tsigaridas
https://arxiv.org/abs/2506.04436

Beyond Worst-Case Analysis for Symbolic Computation: Root Isolation Algorithms
We introduce beyond-worst-case analysis into symbolic computation. This is an extensive field which almost entirely relies on worst-case bit complexity, and we start from a basic problem in the field: isolating the real roots of univariate polynomials. This is a fundamental problem in symbolic computation and it is arguably one of the most basic problems in computational mathematics. The problem has a long history decorated with numerous ingenious algorithms and furnishes an active area of rese…

The structural and kinematical properties of NGC 5634, a globular cluster associated with the Sagittarius dwarf galaxy?
Shouzhi Wang, Jundan Nie, Biwei Jiang, Hao Tian, Chao Liu, Ying-Hua Zhang
https://arxiv.org/abs/2506.04806

The structural and kinematical properties of NGC 5634, a globular cluster associated with the Sagittarius dwarf galaxy?
We investigate the origin of NGC 5634 through a comprehensive analysis of its morphology, kinematics and dynamics. Utilizing data from the DESI Legacy Survey, we refined its fundamental parameters (age t = 12.8 +/- 0.3 Gyr, metallicity [Fe/H] = -1.8 +/- 0.1 dex, distance modulus dm = 17.0 +/- 0.1 mag) and constructed matched-filter template based on the combination of these parameters to search for extra-tidal structures. However, no significant features were detected above a 3 sigma signal-to-…

This https://arxiv.org/abs/2504.10667 has been replaced.
link: https://scholar.google.com/scholar?q=a

Beyond Coordinates: Meta-Equivariance in Statistical Inference
Optimal statistical decisions should transcend the language used to describe them. Yet, how do we guarantee that the choice of coordinates - the parameterisation of an optimisation problem - does not subtly dictate the solution? This paper reveals a fundamental geometric invariance principle. We first analyse the optimal combination of two asymptotically normal estimators under a strictly convex trace-AMSE risk. While methods for finding optimal weights are known, we prove that the resulting op…

I'm Sorry Dave, I'm Afraid I Can't Return That: On YouTube Search API Use in Research
Alexandros Efstratiou
https://arxiv.org/abs/2506.04422 ht…

I'm Sorry Dave, I'm Afraid I Can't Return That: On YouTube Search API Use in Research
YouTube is among the most widely-used platforms worldwide, and has seen a lot of recent academic attention. Despite its popularity and the number of studies conducted on it, much less is understood about the way in which YouTube's Data API, and especially the Search endpoint, operates. In this paper, we analyze the API's behavior by running identical queries across a period of 12 weeks. Our findings suggest that the search endpoint returns highly inconsistent results between queries in ways tha…

This https://arxiv.org/abs/2504.00330 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Stability analysis of Runge-Kutta methods for nonlinear delay-integro-differential-algebraic equations
This paper is devoted to examining the stability of Runge-Kutta methods for solving nonlinear Volterra delay-integro-differential-algebraic equations (DIDAEs) with constant delay. Hybrid numerical schemes combining Runge-Kutta methods and compound quadrature rules are analyzed for nonlinear DIDAEs. Criteria for ensuring the global and asymptotic stability of the proposed schemes are established. Several numerical examples are provided to validate the theoretical findings.

This https://arxiv.org/abs/2506.00541 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

3D Trajectory Reconstruction of Moving Points Based on Asynchronous Cameras
Photomechanics is a crucial branch of solid mechanics. The localization of point targets constitutes a fundamental problem in optical experimental mechanics, with extensive applications in various missions of UAVs. Localizing moving targets is crucial for analyzing their motion characteristics and dynamic properties. Reconstructing the trajectories of points from asynchronous cameras is a significant challenge. It encompasses two coupled sub-problems: trajectory reconstruction and camera synchr…

Multi-Language Detection of Design Pattern Instances
Hugo Andrade, Jo\~ao Bispo, Filipe F. Correia
https://arxiv.org/abs/2506.03903 https://

Multi-Language Detection of Design Pattern Instances
Code comprehension is often supported by source code analysis tools which provide more abstract views over software systems, such as those detecting design patterns. These tools encompass analysis of source code and ensuing extraction of relevant information. However, the analysis of the source code is often specific to the target programming language. We propose DP-LARA, a multi-language pattern detection tool that uses the multi-language capability of the LARA framework to support finding p…

From Developer Pairs to AI Copilots: A Comparative Study on Knowledge Transfer
Alisa Welter, Niklas Schneider, Tobias Dick, Kallistos Weis, Christof Tinnes, Marvin Wyrich, Sven Apel
https://arxiv.org/abs/2506.04785

From Developer Pairs to AI Copilots: A Comparative Study on Knowledge Transfer
Knowledge transfer is fundamental to human collaboration and is therefore common in software engineering. Pair programming is a prominent instance. With the rise of AI coding assistants, developers now not only work with human partners but also, as some claim, with AI pair programmers. Although studies confirm knowledge transfer during human pair programming, its effectiveness with AI coding assistants remains uncertain. To analyze knowledge transfer in both human-human and human-AI settings, w…