Tootfinder

Cul-de-sac effect: Why Mediterranean regions are becoming more prone to extreme floods in a changing climate #mediterranean

Cul-de-sac effect: Why Mediterranean regions are becoming more prone to extreme floods in a changing climate
In May 2023, Italy's Emilia-Romagna region experienced devastating, if not unprecedented, floods that caused widespread damage to infrastructure, homes, businesses, and farmland. Seventeen people lost their lives, and the disaster caused an estimated €8.5 billion in damages. The persistent rainfall and resulting landslides and flooding displaced tens of thousands of residents, leaving a deep mark on the region's economy and communities.

Six Minutes of Med-ness (2022-08) - Ambient Mediterranean beach at dusk at Marseillan Plage. #fieldRecording #beach #Mediterranean -

Six Minutes of Med-ness (2022-08)
Ambient Mediterranean beach at dusk at Marseillan Plage. #fieldRecording #beach #Mediterranean

September first is TelemetryDeckiversary! Five years ago me and my bestie @… started working on TelemetryDeck in earnest, and I still love it.
Most of the early code was written in the south of Italy, where I was successfully hiding from COVID while Lisa was back in Augsburg

ACLA 2026: The Vanishing Mediator https://call-for-papers.sas.upenn.edu/cfp/2025/09/26/acla-2026-the-vanishing-mediator

MedFormer: a data-driven model for forecasting the Mediterranean Sea
Italo Epicoco, Davide Donno, Gabriele Accarino, Simone Norberti, Alessandro Grandi, Michele Giurato, Ronan McAdam, Donatello Elia, Emanuela Clementi, Paola Nassisi, Enrico Scoccimarro, Giovanni Coppini, Silvio Gualdi, Giovanni Aloisio, Simona Masina, Giulio Boccaletti, Antonio Navarra
https://…

MedFormer: a data-driven model for forecasting the Mediterranean Sea
Accurate ocean forecasting is essential for supporting a wide range of marine applications. Recent advances in artificial intelligence have highlighted the potential of data-driven models to outperform traditional numerical approaches, particularly in atmospheric weather forecasting. However, extending these methods to ocean systems remains challenging due to their inherently slower dynamics and complex boundary conditions. In this work, we present MedFormer, a fully data-driven deep learning m…

The Application of Virtual Environments and Artificial Intelligence in Higher Education: Experimental Findings in Philosophy Teaching
Adel Vehrer, Zsolt Palfalusi
https://arxiv.org/abs/2509.00110

The Application of Virtual Environments and Artificial Intelligence in Higher Education: Experimental Findings in Philosophy Teaching
This study explores how virtual environments and artificial intelligence can enhance university students' learning experiences, with particular attention to the digital preferences of Generation Z. An experiment was conducted at the Faculty of Pedagogy, Humanities, and Social Sciences at University of Gyor, where Walter's Cube technology and a trained AI mediator were integrated into the instruction of ten philosophical topics. The curriculum was aligned with the official syllabus and enriched …

Pirates of the Mediterranean.
The United Nations Convention on the Law of the Sea is being entirely ignored, it seems.
https://www.theguardian.com/world/2025/oct/01/israeli-military-vessels-pro-palestinian-flo…

RAPSEM: Identifying Latent Mediators Without Sequential Ignorability via a Rank-Preserving Structural Equation Model
Sofia Morelli, Roberto Faleh, Holger Brandt
https://arxiv.org/abs/2509.23935

RAPSEM: Identifying Latent Mediators Without Sequential Ignorability via a Rank-Preserving Structural Equation Model
The identification of latent mediator variables is typically conducted using standard structural equation models (SEMs). When SEM is applied to mediation analysis with a causal interpretation, valid inference relies on the strong assumption of no unmeasured confounding, that is, all relevant covariates must be included in the analysis. This assumption is often violated in empirical applications, leading to biased estimates of direct and indirect effects. We address this limitation by weakening …

Probing Scalar-Mediator Quark Couplings via CLFV Lepton-Nucleon Scattering
Yuichiro Kiyo, Michihisa Takeuchi, Yuichi Uesaka, Masato Yamanaka
https://arxiv.org/abs/2508.20846 htt…

Probing Scalar-Mediator Quark Couplings via CLFV Lepton-Nucleon Scattering
We investigate charged lepton flavor violating (CLFV) deep-inelastic scattering, focusing on the gluon-initiated subprocess $\ell_i g \to \ell_j g$ via the gluon effective operator $ϕ\, G_{μν}^a G_a^{μν}$, and demonstrate how to probe the nature of the CLFV mediator $ϕ$, specifically its mass and interaction with quarks. We consider two benchmark scenarios for the mediator-quark coupling: (i) $h$-like scenario, in which the mediator couples to heavy quarks in proportion to their masses, a…

Pion bremsstrahlung in the splitting function formalism and the dark photon production
Dmitry Gorbunov, Ekaterina Kriukova
https://arxiv.org/abs/2510.00213 https://

Pion bremsstrahlung in the splitting function formalism and the dark photon production
We study the production of hypothetical vector portal mediators, dark photons $γ^\prime$, with masses in the range 0.4-3.5 GeV in the negatively charged pion-proton collisions $π^-p\rightarrow γ^\prime X$ via inelastic pion bremsstrahlung and QCD Drell-Yan-like process. In both cases we estimate the value of total dark photon production cross section and obtain the energy distribution for dark photons that could be produced in the NA64h experiment. We also present the mean energies of dark p…