Tootfinder

Bayesian multivariate models for bounded directional data
Joel Montesinos-Vazquez, Gabriel N\'u\~nez-Antonio
https://arxiv.org/abs/2507.11784 https://

Bayesian multivariate models for bounded directional data
In some areas of knowledge there are data representing directions restricted to a specific range of values. Consequently, it is useful to have models for describing variables defined in subsets of the k-dimensional unit sphere. This need has led to the development of models such as the multivariate projected Gamma distribution. However, the proposal of multivariate models whose marginal variables are defined only in sections of the unit circle and with a flexible dependency structure is limited…

Energy-consistent dynamic fracture phase field models: unilateral constraints and finite element simulations
Md Mamun Miah, Ryuhei Wakida, Masato Kimura
https://arxiv.org/abs/2506.14788

Energy-consistent dynamic fracture phase field models: unilateral constraints and finite element simulations
Phase field models have emerged as a powerful and flexible framework for simulating complex interface-driven phenomena across a wide range of scientific and engineering applications. In fracture mechanics, the phase field approach--formulated as a gradient flow of the Griffith fracture energy with Ambrosio-Tortorelli regularization--has gained significant attention for its ability to capture complex crack topologies. In this study, we propose a dynamic fracture phase field model (DF-PFM) based …

The effects of knot topology on the collapse of active polymers
Davide Breoni, Emanuele Locatelli, Luca Tubiana
https://arxiv.org/abs/2507.08391 https://…

The effects of knot topology on the collapse of active polymers
We use numerical simulations to study tangentially active flexible ring polymers with different knot topologies. Simple, unknotted active rings display a collapse transition upon increasing the degree of polymerization. We find that topology has a significant effect on the polymer size at which the collapse takes place, with twist knots collapsing earlier than torus knots. Increasing knot complexity further accentuates this difference, as the collapse point of torus knots grows linearly and tha…

Flexible Operator Fusion for Fast Sparse Transformer with Diverse Masking on GPU
Wenhao Dai, Haodong Deng, Mengfei Rong, Xinyu Yang, Hongyu Liu, Fangxin Liu, Hailong Yang, Weifeng Liu, Qingxiao Sun
https://arxiv.org/abs/2506.06095

Flexible Operator Fusion for Fast Sparse Transformer with Diverse Masking on GPU
Large language models are popular around the world due to their powerful understanding capabilities. As the core component of LLMs, accelerating Transformer through parallelization has gradually become a hot research topic. Mask layers introduce sparsity into Transformer to reduce calculations. However, previous works rarely focus on the performance optimization of sparse Transformer. Moreover, rule-based mechanisms ignore the fusion opportunities of mixed-type operators and fail to adapt to va…

Compact magnetic field cycling system with the range from nT to 9.4 T exemplified with 13C relaxation dispersion and SABRE-SHEATH hyperpolarization
Josh P. Peters, Charbel D. Assaf, Jan-Bernd H\"ovener, Andrey N. Pravdivtsev
https://arxiv.org/abs/2506.08711

Compact magnetic field cycling system with the range from nT to 9.4 T exemplified with 13C relaxation dispersion and SABRE-SHEATH hyperpolarization
We present a compact magnetic field cycling system for high-resolution NMR spectrometers. The system enables the transfer of the sample from B0 field of 9.4 T to about nT and all fields in between within 1 second. Utilizing a flexible gear rod made the shuttling system more compact, reducing the height to about the height required for filling liquid helium - hence, it can be installed in average-size NMR laboratories (the height of NMR with MFC is only 3.32 m). The system utility is exemplified…

Decomposing Words for Enhanced Compression: Exploring the Number of Runs in the Extended Burrows-Wheeler Transform
Florian Ingels, Ana\"is Denis, Bastien Cazaux
https://arxiv.org/abs/2506.04926

Decomposing Words for Enhanced Compression: Exploring the Number of Runs in the Extended Burrows-Wheeler Transform
The Burrows-Wheeler Transform (BWT) is a fundamental component in many data structures for text indexing and compression, widely used in areas such as bioinformatics and information retrieval. The extended BWT (eBWT) generalizes the classical BWT to multisets of strings, providing a flexible framework that captures many BWT-like constructions. Several known variants of the BWT can be viewed as instances of the eBWT applied to specific decompositions of a word. A central property of the BWT, ess…

Ambiguity Function Analysis of AFDM Signals for Integrated Sensing and Communications
Haoran Yin, Yanqun Tang, Yuanhan Ni, Zulin Wang, Gaojie Chen, Jun Xiong, Kai Yang, Marios Kountouris, Yong Liang Guan, Yong Zeng
https://arxiv.org/abs/2507.08293

Ambiguity Function Analysis of AFDM Signals for Integrated Sensing and Communications
Affine frequency division multiplexing (AFDM) is a promising chirp-based waveform with high flexibility and resilience, making it well-suited for next-generation wireless networks, particularly in high-mobility scenarios. In this paper, we investigate the ambiguity functions (AFs) of AFDM signals, which fundamentally characterize their range and velocity estimation capabilities in both monostatic and bistatic settings. Specifically, we first derive the auto-ambiguity function (AAF) of an AFDM c…

Adaptive event-triggered robust tracking control of soft robots
Renjie Ma, Ziyao Qu, Zhijian Hu, Dong Zhao, Marios M. Polycarpou
https://arxiv.org/abs/2506.09523

Adaptive event-triggered robust tracking control of soft robots
Soft robots manufactured with flexible materials can be highly compliant and adaptive to their surroundings, which facilitates their application in areas such as dexterous manipulation and environmental exploration. This paper aims at investigating the tracking control problem for soft robots under uncertainty such as unmodeled dynamics and external disturbance. First, we establish a novel switching function and design the compensated tracking error dynamics by virtue of the command filter. The…

DMER-Ranker: Learning to Rank Emotion Descriptions in the Absence of Ground Truth
Zheng Lian, Licai Sun, Haoyu Chen, Zebang Cheng, Fan Zhang, Ziyu Jia, Ziyang Ma, Fei Ma, Xiaojiang Peng, Jianhua Tao
https://arxiv.org/abs/2507.04278

DMER-Ranker: Learning to Rank Emotion Descriptions in the Absence of Ground Truth
Descriptive Multimodal Emotion Recognition (DMER) is a newly proposed task that aims to describe a person's emotional state using free-form natural language. Unlike traditional discriminative methods that rely on predefined emotion taxonomies, DMER provides greater flexibility in emotional expression, enabling fine-grained and interpretable emotion representations. However, this free-form prediction paradigm introduces significant challenges in evaluation. Existing methods either depend on grou…

Elastohydrodynamics of 3D chemically active filaments
Matthew D Butler, Benjamin J Walker, Thomas Montenegro-Johnson, Panayiota Katsamba
https://arxiv.org/abs/2507.03586

Elastohydrodynamics of 3D chemically active filaments
Active deformable filaments exhibit a large range of qualitatively different three-dimensional dynamics, depending on their flexibility, the strength of the active forcing, and the surrounding environment. For a sufficiently strong activity, the resulting forces buckle the filament into different shapes, altering its dynamic behaviour. We investigate the dynamic behaviour of elastic, chemically propelled phoretic filaments, combining two existing models; a local version of slender phoretic theo…