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📢 Fußball-Bundesliga: Leverkusen patzt in Freiburg - Bayern vorzeitig Deutscher Meister
Der FC Bayern München ist zum 34. Mal deutscher Fußball-Meister. Durch das 2:2 von Verfolger Bayer Leverkusen beim SC Freiburg kann der Rekordmeister zwei Bundesliga-Spieltage vor Saisonende nicht mehr vom ersten Platz verdrängt werden.
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Fußball-Bundesliga: Leverkusen patzt in Freiburg - Bayern vorzeitig Deutscher Meister
Der FC Bayern München ist zum 34. Mal deutscher Fußball-Meister. Durch das 2:2 von Verfolger Bayer Leverkusen beim SC Freiburg kann der Rekordmeister zwei Bundesliga-Spieltage vor Saisonende nicht mehr vom ersten Platz verdrängt werden.

Das neueste Weddinger Biotop ist die Kleine Libelle hinter dem Stade Napoléon. Zwar ist immer noch kein Wasser im Teich, dafür blühen schon allerhand Wildblumen.
#meinwedding #berlinwedding #wedding65

DnR-nonverbal: Cinematic Audio Source Separation Dataset Containing Non-Verbal Sounds
Takuya Hasumi, Yusuke Fujita
https://arxiv.org/abs/2506.02499 https:/…

DnR-nonverbal: Cinematic Audio Source Separation Dataset Containing Non-Verbal Sounds
We propose a new dataset for cinematic audio source separation (CASS) that handles non-verbal sounds. Existing CASS datasets only contain reading-style sounds as a speech stem. These datasets differ from actual movie audio, which is more likely to include acted-out voices. Consequently, models trained on conventional datasets tend to have issues where emotionally heightened voices, such as laughter and screams, are more easily separated as an effect, not speech. To address this problem, we buil…

Comprehensive Variability Analysis of Blazars Using Fermi Light Curves Across Multiple Timescales
Zahir Shah, Athar A. Dar, Sikandar Akbar, Anjum Peer, Zahoor Malik, Aaqib Manzoor, Sajad Ahanger, Javaid Tantry, Zeeshan Nazir, Debanjan Bose, Mushtaq Magray
https://arxiv.org/abs/2505.23645…

Comprehensive Variability Analysis of Blazars Using Fermi Light Curves Across Multiple Timescales
In this study, we conducted a systematic analysis of long-term Fermi-LAT γ-ray data for a sample of blazars, including FSRQs, BL\,Lacs, and BCUs, to investigate their $γ$-ray variability. We focused on light curves binned in 3-, 7-, and 30-day intervals to assess the impact of binning, using data with TS >4 as a detection threshold. We calculated fractional variability ($F_{\rm var}$) for each category and found that FSRQs exhibit higher mean variability compared to BL\,Lacs and BCUs, with BC…

3D Holographic Flow Cytometry Measurements of Microalgae: Strategies for Angle Recovery in Complex Rotation Patterns
Francesca Borrelli, Giusy Giugliano, Emilie Houliez, Jaromir Behal, Daniele Pirone, Leonilde Roselli, Angela Sardo, Valerio Zupo, Maria Costantini, Lisa Miccio, Pasquale Memmolo, Vittorio Bianco, Pietro Ferraro
https://

3D Holographic Flow Cytometry Measurements of Microalgae: Strategies for Angle Recovery in Complex Rotation Patterns
Marine ecosystems are in the spotlight, because environmental changes are threatening biodiversity and ecological functions. In this context, microalgae play key ecological roles both in planktonic and benthic ecosystems. Consequently, they are considered indispensable targets for global monitoring programs. However, due to a high spatial and temporal variability and to difficulties of species identification (still relying on microscopy observations), the assessment of roles played by these com…

Variability-finding in Rubin Data Preview 1 with LSDB
Konstantin Malanchev, Melissa DeLucchi, Neven Caplar, Alex I. Malz, Wilson Beebe, Doug Branton, Sandro Campos, Andrew Connolly, Mi Dai, Jeremy Kubica, Olivia Lynn, Rachel Mandelbaum, Sean McGuire, Eric Aubourg, Robert David Blum, Jeffrey L. Carlin, Francisco Delgado, Emmanuel Gangler, Buell T. Jannuzi, Tim Jenness, Yijung Kang, Arun Kannawadi, Marc Moniez, Andr\'es A. Plazas Malag\'on, Wouter van Reeven, David Sanmartim, Ela…

Variability-finding in Rubin Data Preview 1 with LSDB
The Vera C. Rubin Observatory recently released Data Preview 1 (DP1) in advance of the upcoming Legacy Survey of Space and Time (LSST), which will enable boundless discoveries in time-domain astronomy over the next ten years. DP1 provides an ideal sandbox for validating innovative data analysis approaches for the LSST mission, whose scale challenges established software infrastructure paradigms. This note presents a pair of such pipelines for variability-finding using powerful software infrastr…

Water vapour masers in long-period variable stars IV. Mira variables RCas, oCet and RLeo
Jan Brand, Dieter Engels, Alessandra Zanichelli, Sandra Etoka
https://arxiv.org/abs/2506.20328

Water vapour masers in long-period variable stars IV. Mira variables RCas, oCet and RLeo
Between 1987 and 2023 we carried out single-dish monitoring campaigns of water-maser emission at 22 GHz in the circumstellar envelopes (CSEs) of four stars: RCas, oCet, RLeo and ChiCyg. The variability in integrated flux in RCas and oCet followed that in the optical with the same period, but with a lag of about one-third in phase. RLeo was too often below our sensitivity threshold for us to determine a radio period. No maser was detected in ChiCyg. The variability in the masers in RCas has a di…

Aus #Löwenzahnblüten kann man übrigens Sirup kochen, auch als Löwenzahnblütenhonig bezeichnet.
Mein Rezept siehe:https://www.oe…

Second-Order Characterization of Micro Doppler Radar Signatures of Drone Swarms
Anders Malthe Westerkam, Alba Spliid Damkj{\ae}r, Rasmus Erik Villadsen, Magnus {\O}rum Bastrup Poulsen, Troels Pedersen
https://arxiv.org/abs/2506.00497

Second-Order Characterization of Micro Doppler Radar Signatures of Drone Swarms
We investigate the second-order characteristics of the radar return signal from a swarm of rotor drones. We consider the case of a swarm of identical drones, with each a number of rotors comprised of a number of rotor blades. By considering the orientation and speed of each rotor as stochastic variables, we derive expressions for the autocorrelation function (ACF) and power spectral density (PSD). The ACF and PSD are in the form of an infinite series with coefficients that drop to zero at a pre…

GPU Implementation of Zippel Method for Feynman Integral Reconstruction
Alexander V. Smirnov, Boris I. Rozhnov, Vadim V. Voevodin
https://arxiv.org/abs/2505.24256

GPU Implementation of Zippel Method for Feynman Integral Reconstruction
The Zippel algorithm performs a rational reconstruction of multivariate polynomials and aims specifically at the sparse case. It is applied in different fields of science, lately becoming an important step in Feynman integral reduction in elementary particle physics. In some cases with multiple variables it might become a bottleneck for the whole evaluation so that different optimizations are required. In this paper we describe how we ported the classical Zippel algorithm together with its bala…