Tootfinder

Energy Efficiency Maximization for Movable Antenna Communication Systems
Jingze Ding, Zijian Zhou, Lipeng Zhu, Yuping Zhao, Bingli Jiao, Rui Zhang
https://arxiv.org/abs/2506.07129

Energy Efficiency Maximization for Movable Antenna Communication Systems
This paper investigates energy efficiency maximization for movable antenna (MA)-aided multi-user uplink communication systems by considering the time delay and energy consumption incurred by practical antenna movement. We first examine the special case with a single user and propose an optimization algorithm based on the one-dimensional (1D) exhaustive search to maximize the user's energy efficiency. Moreover, we derive an upper bound on the energy efficiency and analyze the conditions required…

Entropic Dynamics approach to Relational Quantum Mechanics
Ariel Caticha, Hassaan Saleem
https://arxiv.org/abs/2506.07921 https://arx…

Entropic Dynamics approach to Relational Quantum Mechanics
The general framework of Entropic Dynamics (ED) is used to construct non-relativistic models of relational quantum mechanics from well known inference principles -- probability, entropy and information geometry. Although only partially relational -- the absolute structures of simultaneity and Euclidean geometry are still retained -- these models provide a useful testing ground for ideas that will prove useful in the context of more realistic relativistic theories. The fact that in ED the positi…

LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids
Shilong Tao, Zhe Feng, Haonan Sun, Zhanxing Zhu, Yunhuai Liu
https://arxiv.org/abs/2506.06001

LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids
Scientific computing for large deformation of elastic-plastic solids is critical for numerous real-world applications. Classical numerical solvers rely primarily on local discrete linear approximation and are constrained by an inherent trade-off between accuracy and efficiency. Recently, deep learning models have achieved impressive progress in solving the continuum mechanism. While previous models have explored various architectures and constructed coefficient-solution mappings, they are desig…

Swap Kripke models for deontic LFIs
Mahan Vaz, Marcelo E. Coniglio
https://arxiv.org/abs/2506.06181 https://arxiv.org/pdf/2506.06181

Swap Kripke models for deontic LFIs
We present a construction of nondeterministic semantics for some deontic logics based on the class of paraconsistent logics known as Logics of Formal Inconsistency (LFIs), for the first time combining swap structures and Kripke models through the novel notion of swap Kripe models. We start by making use of Nmatrices to characterize systems based on LFIs that do not satisfy axiom (cl), while turning to RNmatrices when the latter is considered in the underlying LFIs. This paper also presents, for…

Designing DSIC Mechanisms for Data Sharing in the Era of Large Language Models
Seyed Moein Ayyoubzadeh, Kourosh Shahnazari, Mohammmadali Keshtparvar, MohammadAmin Fazli
https://arxiv.org/abs/2506.05379

Designing DSIC Mechanisms for Data Sharing in the Era of Large Language Models
Training large language models (LLMs) requires vast amounts of high-quality data from institutions that face legal, privacy, and strategic constraints. Existing data procurement methods often rely on unverifiable trust or ignore heterogeneous provider costs. We introduce a mechanism-design framework for truthful, trust-minimized data sharing that ensures dominant-strategy incentive compatibility (DSIC), individual rationality, and weak budget balance, while rewarding data based on both quality …

Object Navigation with Structure-Semantic Reasoning-Based Multi-level Map and Multimodal Decision-Making LLM
Chongshang Yan, Jiaxuan He, Delun Li, Yi Yang, Wenjie Song
https://arxiv.org/abs/2506.05896

Object Navigation with Structure-Semantic Reasoning-Based Multi-level Map and Multimodal Decision-Making LLM
The zero-shot object navigation (ZSON) in unknown open-ended environments coupled with semantically novel target often suffers from the significant decline in performance due to the neglect of high-dimensional implicit scene information and the long-range target searching task. To address this, we proposed an active object navigation framework with Environmental Attributes Map (EAM) and MLLM Hierarchical Reasoning module (MHR) to improve its success rate and efficiency. EAM is constructed by re…

Extending the Affirmative Action Problem: mixing numbers and integrated colorings of graphs
Charles Burnette, Broden Caton, Olivia Coward, Julian Davis, Austin Teter
https://arxiv.org/abs/2506.07192

Extending the Affirmative Action Problem: mixing numbers and integrated colorings of graphs
Consider a graph whose vertices are colored in one of two colors, say black or white. A white vertex is called integrated if it has at least as many black neighbors as white neighbors, and similarly for a black vertex. The coloring as a whole is integrated if every vertex is integrated. A classic exercise in graph theory, known as the Affirmative Action Problem, is to prove that every finite simple graph admits an integrated coloring. The solution can be neatly summarized with the one-liner: "m…

Kinematic Evidence for Bipolar Ejecta Flows in the Galactic SNR W49B
XRISM Collaboration
https://arxiv.org/abs/2506.05455 https://arx…

Kinematic Evidence for Bipolar Ejecta Flows in the Galactic SNR W49B
W49B is a unique Galactic supernova remnant with centrally peaked, "bar"-like ejecta distribution, which was once considered evidence for a hypernova origin that resulted in a bipolar ejection of the stellar core. However, chemical abundance measurements contradict this interpretation. Closely connected to the morphology of the ejecta is its velocity distribution, which provides critical details for understanding the explosion mechanism. We report the first-ever observational constraint on the …

Shared and diverging neural dynamics underlying false and veridical perception https://www.jneurosci.org/content/early/2025/06/04/JNEUROSCI.1479-24.2025 Now let's "mistake" meaningful noise as meaningful images through enhanced reliance…

Shared and diverging neural dynamics underlying false and veridical perception
We often mistake visual noise for meaningful images, which sometimes appear as convincing as veridical percepts. This suggests considerable overlap between the mechanisms that underlie false and veridical perception. Yet, false percepts must arise at least in part from internally generated signals. Here, we apply multivariate analyses to human MEG data to study the overlap between veridical and false perception across two aspects of perceptual inference: discrimination of content (what did I se…

On the exact solutions of a two-dimensional hydrogen atom in a constant magnetic field
Francisco M. Fern\'andez
https://arxiv.org/abs/2506.07765 https:…

On the exact solutions of a two-dimensional hydrogen atom in a constant magnetic field
We analyse the exact solutions to some quantum-mechanical models derived recently by means of a generalization of the Frobenius method. In particular, we carry out an interpretation of the polynomial solutions obtained for the two-dimensional hydrogen atom in a constant magnetic field by comparing the exact solutions with numerical results provided by the Rayleigh-Ritz method.