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Portale für die Stellensuche: CareerBuilder Monster meldet Insolvenz an
Monster und CareerBuilder wurden vor 30 Jahren gegründet, zuletzt hatten sie mit starker Konkurrenz zu kämpfen und fusionierten. Nun folgt die Insolvenz.

💡 Forschungssoftware ist oft so komplex, dass in vielen Projekten die Dokumentation zur Software, die eine sinnvolle Nachnutzung erst ermöglicht, zu kurz kommt.
🛠️ In einem Arbeitstreffen möchte daher Dennis Ried @… , der Preisträger unseres 3. #NFDFI4Culture

„Da die Münchner Burgkmairstraße recht eng ist, parken viele Autofahrer mit zwei Rädern auf dem Gehweg. Das ist zwar nicht erlaubt, wurde aber jahrzehntelang geduldet. Bis vergangenen April. Seitdem zeigen zwei Passanten die Gehweg-Parker an.“ Gehweg-Parker anzeigen wirkt.

Real non-attractive fixed point conjecture for complex harmonic functions
Mohd Vaseem
https://arxiv.org/abs/2507.18414 https://arxiv.org/pdf/2507.18414

Real non-attractive fixed point conjecture for complex harmonic functions
We prove the real non-attractive fixed point conjecture for complex polynomial and rational harmonic functions. A harmonic function $f=h+\overline{g}$ is polynomial (rational) if both $h$ and $g$ are polynomials (rational functions) of degree at least 2. We show that every such function with a super-attracting fixed point has a $\mathfrak{h}$-fixed point $ζ=μ+\overlineω$ such that the real parts of its multipliers satisfy $\text{Re}(\partial_z h(μ)) \geq 1$ and $\text{Re}(\partial_z g(ω)) …

Formation and construction of large variational shock waves for 1-D $n\times n$ quasilinear hyperbolic conservation systems
Huicheng Yin, Wanqing Zhu
https://arxiv.org/abs/2506.19313

Formation and construction of large variational shock waves for 1-D $n\times n$ quasilinear hyperbolic conservation systems
In the paper [Li Jun, Xu Gang, Yin Huicheng, On the blowup mechanism of smooth solutions to 1D quasilinear strictly hyperbolic systems with large variational initial data, Nonlinearity 38 (2025), No.2, 025016], for the 1-D $n\times n$ ($n\geqslant 3$) strictly hyperbolic system $\partial_tv+F(v)\partial_xv=0$ with some classes of large variational initial data $v(x, 0)$, the geometric blowup mechanism and the detailed singularity behaviours of $\partial_{x,t}v$ near the blowup point are studied…

Neural Collapse based Deep Supervised Federated Learning for Signal Detection in OFDM Systems
Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li
https://arxiv.org/abs/2506.19476

Neural Collapse based Deep Supervised Federated Learning for Signal Detection in OFDM Systems
Future wireless networks are expected to be AI-empowered, making their performance highly dependent on the quality of training datasets. However, physical-layer entities often observe only partial wireless environments characterized by different power delay profiles. Federated learning is capable of addressing this limited observability, but often struggles with data heterogeneity. To tackle this challenge, we propose a neural collapse (NC) inspired deep supervised federated learning (NCDSFL) a…

The Galactic Bulge exploration V.: The secular spherical and X-shaped Milky Way bulge
Z. Prudil, V. P. Debattista, L. Beraldo e Silva, S. R. Anderson, S. Gough-Kelly, A. Kunder, M. Rejkuba, O. Gerhard, R. F. G. Wyse, A. J. Koch-Hansen, R. M. Rich, A. Savino
https://arxiv.org/abs/2506.19074…

The Galactic Bulge exploration V.: The secular spherical and X-shaped Milky Way bulge
In this work, we derive systemic velocities and subsequently orbits for 8456 RR~Lyrae stars. We identify interlopers from other Milky Way (MW) structures, which amount to 22 percent of the total sample. Most interlopers are associated with the halo, with the remainder linked to the Galactic disk. We confirm the previously reported lag in the rotation curve of bulge RR~Lyrae stars regardless of the removal of interlopers. Metal-rich RR~Lyrae stars' rotation patterns are consistent with that of n…

Deep random difference method for high dimensional quasilinear parabolic partial differential equations
Wei Cai, Shuixin Fang, Tao Zhou
https://arxiv.org/abs/2506.20308

Deep random difference method for high dimensional quasilinear parabolic partial differential equations
Solving high-dimensional parabolic partial differential equations (PDEs) with deep learning methods is often computationally and memory intensive, primarily due to the need for automatic differentiation (AD) to compute large Hessian matrices in the PDE. In this work, we propose a deep random difference method (DRDM) that addresses these issues by approximating the convection-diffusion operator using only first-order differences and the solution by deep neural networks, thus, avoiding explicit H…

Dis-GEN: Disordered crystal structure generation
Martin Hoffmann Petersen, Ruiming Zhu, Haiwen Dai, Savyasanchi Aggarwal, Nong Wei, Andy Paul Chen, Arghya Bhowmik, Juan Maria Garcia Lastra, Kedar Hippalgaonkar
https://arxiv.org/abs/2507.18275

Dis-GEN: Disordered crystal structure generation
A wide range of synthesized crystalline inorganic materials exhibit compositional disorder, where multiple atomic species partially occupy the same crystallographic site. As a result, the physical and chemical properties of such materials are dependent on how the atomic species are distributed among the corresponding symmetrical sites, making them exceptionally challenging to model using computational methods. For this reason, existing generative models cannot handle the complexities of disorde…

SPP location with spherical ray tracing by refractive index
Hui Qian, Xiaosan Zhu, Dongliang Liu
https://arxiv.org/abs/2506.19859 https://

SPP location with spherical ray tracing by refractive index
Atmospheric layer structure is a primary factor affecting the precision of single-point satellite positioning. The assumption of electromagnetic wave rectilinear propagation hinders the accurate implementation of ionospheric and tropospheric corrections, whereas curvilinear positioning methods fully account for ray deflection. This study aims to derive partial derivative formulas for theoretical travel time with respect to latitude, longitude, elevation, and velocity models by formulating elect…