Tootfinder

Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples
Daniel Agyapong, Briana H. Beatty, Peter G. Kennedy, Toby D. Hocking
https://arxiv.org/abs/2509.09413

Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples
Co-occurrence network inference algorithms have significantly advanced our understanding of microbiome communities. However, these algorithms typically analyze microbial associations within samples collected from a single environmental niche, often capturing only static snapshots rather than dynamic microbial processes. Previous studies have commonly grouped samples from different environmental niches together without fully considering how microbial communities adapt their associations when fac…

Descent problem for certificate of non-negativity on semi-algebraic sets
Manoj K. Keshari, Debapriya Ojha, Niladri Sekhar Patra
https://arxiv.org/abs/2508.07060 https://

Descent problem for certificate of non-negativity on semi-algebraic sets
Let $F$ be a subfield of $\mathbb R$ and let $K$ be a basic closed semi-algebraic set in $\mathbb R$ with $\partial K\subset F$. Let $\mathcal N$ be the natural choice of generators of $K$. We show that if $f\in F[x]$ is $\geq 0$ on $K$, then $f$ can be written as $$f=\sum_{e\in\{0,1\}^s } a_eσ_e g^e $$ where $a_e\in F_{\geq 0}$, $σ_e\in \sum F[x]^2$ and $g^{e}=g_1^{e_1} \cdots g_s^{e_s}$. In other words, the preordering $T_{\mathcal N}$ of $F[x]$ is saturated. In case $F=\mathbb R$, this res…

Closed-loop control of sloshing fuel in a spinning spacecraft
Umberto Zucchelli, Miguel Alfonso Mendez, Annafederica Urbano, Sebastien Vincent-Bonnieu, Piotr Wenderski, Francesco Sanfedino
https://arxiv.org/abs/2510.08121

Closed-loop control of sloshing fuel in a spinning spacecraft
New-generation space missions require satellites to carry substantial amounts of liquid propellant, making it essential to analyse the coupled control-structure-propellant dynamics in detail. While Computational Fluid Dynamics (CFD) offers high-fidelity predictions, its computational cost limits its use in iterative design. Equivalent Mechanical Models (EMMs) provide a faster alternative, though their predictive performance, especially in closed-loop scenarios, remains largely unexplored. This …

Micro-Tidal Disruption Events in Young Star Clusters
Sara Rastello, Giuliano Iorio, Mark Gieles, Long Wang
https://arxiv.org/abs/2509.07067 https://arxiv.o…

Micro-Tidal Disruption Events in Young Star Clusters
Dense young star clusters (YSCs) are ideal environments for dynamical interactions between stars and stellar mass black holes (BHs). In such dense environments, stars can undergo close encounters with BHs and fall within their tidal radius, resulting in micro-tidal disruption events (micro-TDEs), transient phenomena with potential multi-messenger signatures. We performed a suite of direct N-body simulations using the PETAR code, to which we implemented new prescriptions for modeling micro-TDEs.…

Connected components of Berkovich fixed point locus
Niladri Patra
https://arxiv.org/abs/2508.07156 https://arxiv.org/pdf/2508.07156

Connected components of Berkovich fixed point locus
Let $\mathbb{P}^{1}_{an}$ be the Berkovich projective line over a complete, algebraically closed, non-Archimedean field of characteristic $0$. Let $ϕ$ be a degree $\geq 2$ rational map with potential good reduction, acting on $\mathbb{P}^{1}_{an}$. In this article, we give an easily verifiable equivalent criterion for the fixed point locus of $ϕ$ to be connected. We also give an equivalent criterion for the fixed point locus of $ϕ$ to be finite. Moreover, we provide a sharp upper bound for t…

Detection of a Deeply Embedded Protocluster Candidate in NGC 602 with JWST
Beena Meena, Peter Zeidler, Elena Sabbi, Antonella Nota, Camilla Pacifici, Olivia C. Jones
https://arxiv.org/abs/2509.09617

Detection of a Deeply Embedded Protocluster Candidate in NGC 602 with JWST
JWST NIRCam and MIRI photometry of NGC 602, a low-metallicity young star cluster in the Small Magellanic Cloud, reveals an extended mid-infrared bright emission feature designated as MZS-1. This feature is prominent between 10 and 25.5 microns, but is extremely faint at 7.7 microns and entirely undetected at shorter wavelengths. MZS-1 exhibits an elliptical morphology with a major axis of approximately 8 arcseconds and a minor axis of about 4 arcseconds. Its elongated shape and multiple emissio…

Investigation of Low-Energy Particle Remnants in High-Energy Collisions at the LHC with a Skipper-CCD detector
Brenda A. Cervantes-Vergara, Santiago E. Perez, Nicola Bacchetta, Nuria Castello-Mor, Juan Estrada, Marcos Fernandez Garcia, Petra Merkel, Maria Perez Martinez, Dario Rodrigues, Javier Tiffenberg, Rocio Vilar Cortabitarte
https://…

Investigation of Low-Energy Particle Remnants in High-Energy Collisions at the LHC with a Skipper-CCD detector
We deployed MOSKITA $\sim$33 m away from the CMS collision point, the first skipper-CCD detector probing low-energy particles produced in high-energy collisions at the Large Hadron Collider (LHC). In this work, we search for beam-related events using data collected in 2024 during beam-on and beam-off periods. The dataset corresponds to integrated luminosities of 113.3 fb$^{-1}$ and 1.54 nb$^{-1}$ for the proton-proton and Pb-Pb collision periods, respectively. We report observed event rates in …

Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
Shijie Yuan, Kevin Roberts, Noirrit Kiran Chandra, Yuan Ji, Peter M\"uller
https://arxiv.org/abs/2509.07267

Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
We introduce a Bayesian nonparametric inference approach for aggregate adverse event (AE) monitoring across studies. The proposed model seamlessly integrates external data from historical trials to define a relevant background rate and accommodates varying levels of covariate granularity (ranging from patient-level details to study-level aggregated summary data). Inference is based on a covariate-dependent product partition model (PPMx). A central element of the model is the ability to group ex…

„Policymakers need to set clear emissions targets and stronger financial incentives for use of lower emission materials, while industry must establish common standards for easier adoption of these materials into value chains.“
Jens-Peter Saul
CEO, #Ramboll

Jens-Peter Saul: The 100 Most Influential Climate Leaders of 2025
Find out why Jens-Peter Saul is on TIME's 2025 list of the 100 most influential leaders driving business climate action.