Tootfinder

#ModulareSynthesizer
Stefanie Schrank - Shapeshifter (Official Video)
https://www.youtube.com/watch?v=75ijGYXbfsY

Was ist die größte #Taubenart Mitteleuropas? 🕊️ Die #Ringeltaube. Durch ihren charakteristischen weißen Halsfleck und dem „Ruguuuugu guugu“-Ruf ist sie leicht zu erkennen. Bei mir wohnt mindestens ein Pärchen in der Umgebung. Mehr zu den hübschen Vögeln im Artikel. 🌳🔍

Ringeltaube (Columba palumbus): Wissenswertes über die größte Taubenart Mitteleuropas
Ringeltaube (Columba palumbus): Wissenswertes über die größte Taubenart Mitteleuropas. Merkmale, Verhalten, Brutverhalten, Nahrung & Lebensraum.

Modularity from $q$-series
Ken Ono
https://arxiv.org/abs/2509.20316 https://arxiv.org/pdf/2509.20316

Modularity from $q$-series
In 1975, G. E. Andrews challenged the community to provide a proof that takes the summatory forms of the Rogers--Ramanujan $q$-series as input and directly establishes their modularity. This question is important because many different $q$-series appearing in combinatorics, representation theory, and physics often seem to be mysteriously modular, yet there is no general test to confirm this directly from the exotic $q$-series expressions. In this note, solve this general problem using $q$-serie…

🪢 Composite metal foam endures over 1 million load cycles at 400°C and 600°C
#metallurgy

Composite metal foam endures over 1 million load cycles at 400°C and 600°C
New research shows that composite metal foam (CMF) is incredibly resilient at high temperatures, able to withstand repeated heavy loads even at temperatures of 400°C and 600°C. Coupled with the material's high strength-to-weight ratio, the finding suggests that CMF could be used in applications ranging from automobile engines to aerospace components to nuclear power technologies.

Modular Embedding Recomposition for Incremental Learning
Aniello Panariello, Emanuele Frascaroli, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
https://arxiv.org/abs/2508.16463

Modular Embedding Recomposition for Incremental Learning
The advent of pre-trained Vision-Language Models (VLMs) has significantly transformed Continual Learning (CL), mainly due to their zero-shot classification abilities. Such proficiency makes VLMs well-suited for real-world applications, enabling robust performance on novel unseen classes without requiring adaptation. However, fine-tuning remains essential when downstream tasks deviate significantly from the pre-training domain. Prior CL approaches primarily focus on preserving the zero-shot capa…

HiPerformer: A High-Performance Global-Local Segmentation Model with Modular Hierarchical Fusion Strategy
Dayu Tan, Zhenpeng Xu, Yansen Su, Xin Peng, Chunhou Zheng, Weimin Zhong
https://arxiv.org/abs/2509.20280

HiPerformer: A High-Performance Global-Local Segmentation Model with Modular Hierarchical Fusion Strategy
Both local details and global context are crucial in medical image segmentation, and effectively integrating them is essential for achieving high accuracy. However, existing mainstream methods based on CNN-Transformer hybrid architectures typically employ simple feature fusion techniques such as serial stacking, endpoint concatenation, or pointwise addition, which struggle to address the inconsistencies between features and are prone to information conflict and loss. To address the aforemention…

A predictive modular approach to constraint satisfaction under uncertainty - with application to glycosylation in continuous monoclonal antibody biosimilar production
Yu Wang, Xiao Chen, Hubert Schwarz, V\'eronique Chotteau, Elling W. Jacobsen
https://arxiv.org/abs/2508.16803

A predictive modular approach to constraint satisfaction under uncertainty - with application to glycosylation in continuous monoclonal antibody biosimilar production
The paper proposes a modular-based approach to constraint handling in process optimization and control. This is partly motivated by the recent interest in learning-based methods, e.g., within bioproduction, for which constraint handling under uncertainty is a challenge. The proposed constraint handler, called predictive filter, is combined with an adaptive constraint margin and a constraint violation cost monitor to minimize the cost of violating soft constraints due to model uncertainty and di…

Computing the Level of a Fiber for Points on Modular Curves
Hailey Maxwell
https://arxiv.org/abs/2508.17463 https://arxiv.org/pdf/2508.17463

Computing the Level of a Fiber for Points on Modular Curves
The modular curves in the family $X_1(N)$ for natural numbers $N$ parametrize elliptic curves over the complex numbers with a distinguished point of order $N$. The purpose of this paper is to better understand how to calculate the degrees of points on $X_1(\ell^n)$ for a prime $\ell$ and arbitrary positive integer $n$. In analogy with the definition of the level of a Galois representation, we construct a new definition: the level of a fiber of a closed point on a modular curve. Using this defin…

A family of Hecke eigenforms for Drinfeld modular forms of arbitrary rank
O\u{g}uz Gezmi\c{s}, \"Ozge \"Ulkem
https://arxiv.org/abs/2509.20895 https://

A family of Hecke eigenforms for Drinfeld modular forms of arbitrary rank
We aim to provide a family of Drinfeld-Hecke eigenforms given in terms of a determinant of twisted Eisenstein series. Our main tool is the theory of vectorial Drinfeld modular forms, previously introduced by Pellarin [18] and extensively studied by Pellarin [19] as well as in his joint work with Perkins [20] in the rank two setting. We will develop this theory in the present paper for the arbitrary rank setting by using a particular representation.

Bounds for integral moments of quadratic twists of Fourier coefficients of modular forms
Peng Gao, Yuetong Zhao
https://arxiv.org/abs/2509.20085 https://ar…

Bounds for integral moments of quadratic twists of Fourier coefficients of modular forms
In this paper, we obtain under the assumption of the Generalized Riemann Hypothesis upper bounds for all high integral moments of sums of Fourier coefficients of a given modular form twisted by quadratic Dirichlet characters. We show the bounds are optimal by establishing unconditionally the corresponding lower bounds for all even integer moments.