Tootfinder

USA verhängen neue Sanktionen gegen Russland-Unterstützer
Die USA haben ein neues Sanktionspaket gegen Unterstützer des russischen Angriffskrieges gegen die Ukraine verhängt. Wie das US-Finanzministerium in Washington mitteilte, richten sich die Strafmaßnahmen gegen rund 300 Personen und Unternehmen. Betroffen sind Firmen aus Russland, China und anderen Staaten, denen vorgeworfen wird, Moskau bei de…
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Westliche Banken zahlen 800 Millionen Euro Steuern an Russland
Über 800 Millionen Euro Steuern haben große westliche Banken 2023 an Russland gezahlt. Das zeigt eine Analyse der Financial Times. Profitiert haben sie bei ihren hohen Gewinnen von den Zinsen und den Sanktionen.

"Im August und September 2023 verbreiteten sich viele falsche oder verkürzte Nachrichten über den Bürgergeldbezug von Geflüchteten, insbesondere aus der Ukraine." #Correctiv

Room-temperature ladder-type optical memory compatible with single photons from InGaAs quantum dots
Benjamin Maa{\ss}, Norman Vincenz Ewald, Avijit Barua, Stephan Reitzenstein, Janik Wolters
https://arxiv.org/abs/2402.14686

Room-temperature ladder-type optical memory compatible with single photons from InGaAs quantum dots
On-demand storage and retrieval of quantum information in coherent light-matter interfaces is a key requirement for future quantum networking and quantum communication applications. Alkali vapor memories offer scalable and robust high-bandwidth storage at high repetition rates which makes them a natural fit to interface with solid-state single-photon sources. Here, we experimentally realize a room-temperature ladder-type atomic vapor memory that operates on the Cs D1 line. We provide a detailed…

Probing multi-particle bunching from intermittency analysis in relativistic heavy-ion collisions
Valeria Zelina Reyna Ortiz, Maciej Rybczynski, Zbigniew Wlodarczyk
https://arxiv.org/abs/2403.11294

Probing multi-particle bunching from intermittency analysis in relativistic heavy-ion collisions
It has been demonstrated that intermittency, a self-similar correlation regarding the size of the phase space volume, exhibits sensitivity to particle bunching within a system situated in the two-dimensional cell. Based on recent findings concerning fluctuations in charge particle density observed in central Au + Au collisions at various energies ranging from $\sqrt{s_{NN}}$ = 7.7 to 200 GeV at RHIC/STAR, it is proposed that analyzing intermittency in relativistic heavy-ion collisions could ser…

Vestibular schwannoma growth_prediction from longitudinal MRI by time conditioned neural fields
Yunjie Chen, Jelmer M. Wolterink, Olaf M. Neve, Stephan R. Romeijn, Berit M. Verbist, Erik F. Hensen, Qian Tao, Marius Staring
https://arxiv.org/abs/2404.02614

Vestibular schwannoma growth_prediction from longitudinal MRI by time conditioned neural fields
Vestibular schwannomas (VS) are benign tumors that are generally managed by active surveillance with MRI examination. To further assist clinical decision-making and avoid overtreatment, an accurate prediction of tumor growth based on longitudinal imaging is highly desirable. In this paper, we introduce DeepGrowth, a deep learning method that incorporates neural fields and recurrent neural networks for prospective tumor growth prediction. In the proposed method, each tumor is represented as a si…