Tootfinder

Le trafic est interrompu entre Versailles Château et Viroflay Rive Gauche dans les 2 sens jusqu'Š 22h05.
Rendez-vous sur la rubrique "Recherche Itinéraire", pour retrouver un itinéraire prenant en compte cette perturbation.
Pour plus d'informations sur cette perturbation, consultez le fil X du RER C.
Motif : acte de vandalisme sur les installations du gestionnaire de réseau (dans le secteur de Versailles Château)
🤖 19/06 21:46

Exploring Image Transforms derived from Eye Gaze Variables for Progressive Autism Diagnosis
Abigail Copiaco, Christian Ritz, Yassine Himeur, Valsamma Eapen, Ammar Albanna, Wathiq Mansoor
https://arxiv.org/abs/2506.09065

Exploring Image Transforms derived from Eye Gaze Variables for Progressive Autism Diagnosis
The prevalence of Autism Spectrum Disorder (ASD) has surged rapidly over the past decade, posing significant challenges in communication, behavior, and focus for affected individuals. Current diagnostic techniques, though effective, are time-intensive, leading to high social and economic costs. This work introduces an AI-powered assistive technology designed to streamline ASD diagnosis and management, enhancing convenience for individuals with ASD and efficiency for caregivers and therapists. T…

Monogenic functions over real alternative *-algebras: the several hypercomplex variables case
Zhenghua Xu, Chao Ding, Haiyan Wang
https://arxiv.org/abs/2506.08307

Monogenic functions over real alternative *-algebras: the several hypercomplex variables case
The notion of monogenic (or regular) functions, which is a correspondence of holomorphic functions, has been studied extensively in hypercomplex analysis, including quaternionic, octonionic, and Clifford analysis. Recently, the concept of monogenic functions over real alternative $\ast$-algebras has been introduced to unify several classical monogenic functions theories. In this paper, we initiate the study of monogenic functions of several hypercomplex variables over real alternative $\ast$-al…

Law of large numbers for the discriminant of random polynomials
Marcus Michelen, Oren Yakir
https://arxiv.org/abs/2506.12206 https://…

Law of large numbers for the discriminant of random polynomials
Let $f_n$ be a random polynomial of degree $n$, whose coefficients are independent and identically distributed random variables with mean-zero and variance one. Let $Δ(f_n)$ denote the discriminant of $f_n$, that is $Δ(f_n) = A^{2n-2}\prod_{i < j} (α_j - α_i)^2$ where $A$ is the leading coefficient of $f_n$ and $α_1,\ldotsα_n$ are its roots. We prove that with high probability $$|Δ(f_n)| = n^{2n} e^{-{\sf D}_\ast n(1+o(1))}$$ as $n\to \infty$, for some explicit universal consta…

Russland spricht von Terrorakt
Das russische Ermittlungskomitee stuft die Brückeneinstürze in Kursk und Brjansk mit Toten und Verletzten als Terrorakt ein. "Die angegebenen Vorfälle wurden als terroristischer Akt qualifiziert", sagte die Sprecherin des Ermittlungskomitees, Swetlana Petrenko demnach.
Bei dem Vorfall in der südwestlichen Region Brjansk entgleiste durch den Brückeneinsturz ein Persone…
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Russland wertet zerstörte Brücken als "Terrorakt"
Wer steckt hinter den zerstörten Brücken und Zugunglücken in Russland? Ermittler gehen von einer Explosion aus, Politiker in Moskau machen die Ukraine verantwortlich. Dort wird über eine andere Zugsprengung berichtet.

💪 Omnivorous? Vegan? Makes no difference to muscle building after weight training, study finds
https://medicalxpress.com/news/2025-04-omnivorous-vegan-difference-muscle-weight.html

Omnivorous? Vegan? Makes no difference to muscle building after weight training, study finds
A new study asked three questions about muscle protein synthesis in response to a nine-day diet and weight training regimen: First, does the source of protein—plant or animal-based—make any difference to muscle gain? Second, does it matter if total daily protein intake is evenly distributed throughout the day? And third, does a moderate but sufficient daily protein intake influence any of these variables? The answer to all three questions is "no," the researchers found.

Changing Look AGN: A study of Optical/UV and the Highly Ionized Fe K$\alpha$ X-ray Line Flux Variations Using Photo-Ionization Simulations
Tek P. Adhikari, Santanu Mondal, Zhicheng He, Agata Rozanska, Krzysztof Hryniewicz
https://arxiv.org/abs/2506.03540

Changing Look AGN: A study of Optical/UV and the Highly Ionized Fe K$α$ X-ray Line Flux Variations Using Photo-Ionization Simulations
Significant variability in broad emission line strengths of active galactic nuclei (AGN) over months to years has been observed, often accompanied by intrinsic continuum changes. Such spectral variability challenges the traditional AGN classification scheme, which attributes differences between Type 1 and Type 2 to geometrical effects, as transitions between these types occur on timescales shorter than viscous ones. In this work, using the {\sc cloudy} photo-ionization simulations, we investiga…

This https://arxiv.org/abs/2504.11116 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Breaking the Dimensional Barrier: A Pontryagin-Guided Direct Policy Optimization for Continuous-Time Multi-Asset Portfolio
Solving large-scale, continuous-time portfolio optimization problems involving numerous assets and state-dependent dynamics has long been challenged by the curse of dimensionality. Traditional dynamic programming and PDE-based methods, while rigorous, typically become computationally intractable beyond a few state variables ($\sim$3-6 limit in prior studies). To overcome this critical barrier, we introduce the \emph{Pontryagin-Guided Direct Policy Optimization} (PG-DPO) framework. PG-DPO levera…

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
Esra Adiyeke, Tianqi Liu, Venkata Sai Dheeraj Naganaboina, Han Li, Tyler J. Loftus, Yuanfang Ren, Benjamin Shickel, Matthew M. Ruppert, Karandeep Singh, Ruogu Fang, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
https://

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
Traditional methods of surgical decision making heavily rely on human experience and prompt actions, which are variable. A data-driven system generating treatment recommendations based on patient states can be a substantial asset in perioperative decision-making, as in cases of intraoperative hypotension, for which suboptimal management is associated with acute kidney injury (AKI), a common and morbid postoperative complication. We developed a Reinforcement Learning (RL) model to recommend opti…

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors
Zheng Gong, Ziyi Jiang, Weihao Gao, Deng Zhuo, Lan Ma
https://arxiv.org/abs/2505.23862

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors
The mRNA optimization is critical for therapeutic and biotechnological applications, since sequence features directly govern protein expression levels and efficacy. However, current methods face significant challenges in simultaneously achieving three key objectives: (1) fidelity (preventing unintended amino acid changes), (2) computational efficiency (speed and scalability), and (3) the scope of optimization variables considered (multi-objective capability). Furthermore, existing methods often…