Tootfinder

Variablennamen sind schwer.
- Variable für Startzeit heißt Tp.Time1
- Variable für Endzeit heißt Tp.Time2
- Variable für Enddatum heißt Tp.Date2
Wie heißt die Variable für das Startdatum?

"Het wetsvoorstel is namelijk niet alleen overbodig, maar ook gevaarlijk. Het schept ruimte voor politieke vervolging, werkt discriminatie in de hand en tast de ruimte voor maatschappelijk debat en solidariteit aan. Deze beperkingen passen binnen een extreemrechtse strategie om tegenmacht te verzwakken. Dit voorstel hoort niet thuis in een democratische rechtsstaat."
Alleen vandaag nog kun je reageren!

Elektronische Patientenakte & E-Rezept: Störungen belasten Ärzte und Apotheker
Ab Oktober sind Praxen verpflichtet, die elektronische Patientenakte zu befüllen. Vielen Praxen fehlt aber noch das ePA-Modul. TI-Störungen belasten ebenfalls.

Weighted First Order Model Counting for Two-variable Logic with Axioms on Two Relations
Qipeng Kuang, V\'aclav K\r{u}la, Ond\v{r}ej Ku\v{z}elka, Yuanhong Wang, Yuyi Wang
https://arxiv.org/abs/2508.11515

Weighted First Order Model Counting for Two-variable Logic with Axioms on Two Relations
The Weighted First-Order Model Counting Problem (WFOMC) asks to compute the weighted sum of models of a given first-order logic sentence over a given domain. The boundary between fragments for which WFOMC can be computed in polynomial time relative to the domain size lies between the two-variable fragment ($\text{FO}^2$) and the three-variable fragment ($\text{FO}^3$). It is known that WFOMC for \FOthree{} is $\mathsf{\#P_1}$-hard while polynomial-time algorithms exist for computing WFOMC for $…

Implicit Third-Order Peer Triplets with Variable Stepsizes for Gradient-Based Solutions in Large-Scale ODE-Constrained Optimal Control
Jens Lang, Bernhard A. Schmitt
https://arxiv.org/abs/2509.11684

Implicit Third-Order Peer Triplets with Variable Stepsizes for Gradient-Based Solutions in Large-Scale ODE-Constrained Optimal Control
This paper is concerned with the theory, construction and application of variable-stepsize implicit Peer two-step methods that are super-convergent for variable stepsizes, i.e., preserve their classical order achieved for uniform stepsizes when applied in a gradient-based solution algorithm to solve ODE-constrained optimal control problems in a first-discretize-then-optimize setting. Gradients of the objective function can be computed most efficiently using approximate adjoint variables. High a…

Rotational Variables: Kepler Versus ASAS-SN
Jack Stethem (Department of Astronomy, The Ohio State University), Christopher S. Kochanek (Department of Astronomy, The Ohio State University, Center for Cosmology and AstroParticle Physics, The Ohio State University), Anya Phillips (Center for Astrophysics - Harvard and Smithsonian), Lyra Cao (Department of Physics and Astronomy, Vanderbilt University), Marc Pinsonneault (Department of Astronomy, The Ohio State University, Center for Cosmol…

Rotational Variables: Kepler Versus ASAS-SN
Rotational variables are stars that vary in brightness due to star spots modulated by rotation. They are probes of stellar magnetism, binarity, and evolution. Phillips et al. (2023) explored distinct populations of ~50,000 high-amplitude rotational variables from the All-Sky Automated Survey for Supernovae (ASAS-SN), examining correlations between stellar rotation, binarity, and activity. Here, we carry out a similar analysis of ~50,000 much lower amplitude Kepler rotational variables. The Kepl…

Least squares-based methods to bias adjustment in scalar-on-function regression model using a functional instrumental variable
Xiwei Chen, Ufuk Beyaztas, Caihong Qin, Heyang Ji, Gilson Honvoh, Roger S. Zoh, Lan Xue, Carmen D. Tekwe
https://arxiv.org/abs/2509.12122

Least squares-based methods to bias adjustment in scalar-on-function regression model using a functional instrumental variable
Instrumental variables are widely used to adjust for measurement error bias when assessing associations of health outcomes with ME prone independent variables. IV approaches addressing ME in longitudinal models are well established, but few methods exist for functional regression. We develop two methods to adjust for ME bias in scalar on function linear models. We regress a scalar outcome on an ME prone functional variable using a functional IV for model identification and propose two least squ…

Partitioned Conservative, Variable Step, Second-Order Method for Magneto-hydrodynamics In Els\"asser Variables
Zhen Yao, Catalin Trenchea, Wenlong Pei
https://arxiv.org/abs/2507.12700

Partitioned Conservative, Variable Step, Second-Order Method for Magneto-hydrodynamics In Elsässer Variables
Magnetohydrodynamics (MHD) describes the interaction between electrically conducting fluids and electromagnetic fields. We propose and analyze a symplectic, second-order algorithm for the evolutionary MHD system in Elsässer variables. We reduce the computational cost of the iterative non-linear solver, at each time step, by partitioning the coupled system into two subproblems of half size, solved in parallel. We prove that the iterations converge linearly, under a time step restriction similar…

Magnetic Reconnection as a Potential Driver of X-ray Variability in Active Galactic Nuclei
Chen-Ran Hu, Yong-Feng Huang, Lang Cui, Hanle Zhang, Jiang-Tao Li, Li Ji, Jin-Jun Geng, Orkash Amat, Fan Xu, Chen Du, Wen-Long Zhang, Ze-Cheng Zou, Xiao-Fei Dong, Chen Deng, Pengfei Jiang, Jie Liao
https://arxiv.org/abs/2509.12978

Magnetic Reconnection as a Potential Driver of X-ray Variability in Active Galactic Nuclei
We present a systematic analysis on the X-ray variability in 13 bright quasars at z > 4.5, combining recent Swift observations from 2021 to 2023 and archival multi-epoch observations. Upper limits of the luminosity measurements were included in the analysis by using the Kaplan-Meier estimator method. It is found that the high-z quasars exhibit X-ray variability on both short-term (hours-to-days) and intermediate-term (weeks-to-months) timescales, with short-term variability dominating the overa…

Detecting In-Person Conversations in Noisy Real-World Environments with Smartwatch Audio and Motion Sensing
Alice Zhang, Callihan Bertley, Dawei Liang, Edison Thomaz
https://arxiv.org/abs/2507.12002

Detecting In-Person Conversations in Noisy Real-World Environments with Smartwatch Audio and Motion Sensing
Social interactions play a crucial role in shaping human behavior, relationships, and societies. It encompasses various forms of communication, such as verbal conversation, non-verbal gestures, facial expressions, and body language. In this work, we develop a novel computational approach to detect a foundational aspect of human social interactions, in-person verbal conversations, by leveraging audio and inertial data captured with a commodity smartwatch in acoustically-challenging scenarios. To…