Results 41 to 50 of about 99 (99)

Scenario‐free robust optimization algorithm for IMRT and IMPT treatment planning

Medical Physics, EarlyView.
Abstract Background Robust treatment planning algorithms for intensity modulated proton therapy (IMPT) and intensity modulated radiation therapy (IMRT) allow for uncertainty reduction in the delivered dose distributions through explicit inclusion of error scenarios.
Remo Cristoforetti, Jennifer Josephine Hardt, Niklas Wahl   +2 more
wiley   +1 more source

Latent space reconstruction for missing data problems in CT

Medical Physics, EarlyView.
Abstract Background The reconstruction of a computed tomography (CT) image can be compromised by artifacts, which, in many cases, reduce the diagnostic value of the image. These artifacts often result from missing or corrupt regions in the projection data, for example, by truncation, metal, or limited angle acquisitions.
Anton Kabelac, Elias Eulig, Joscha Maier, Maximilian Hammermann, Michael Knaup, Marc Kachelrieß   +5 more
wiley   +1 more source

Uncertainty Quantification for Nonlinear Vibration of Supercritical Drive Shaft With a Dry Friction Damper

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The supercritical drive shaft is becoming increasingly popular in helicopter transmission system. Dry friction dampers are specially employed to ensure the supercritical shafts crossing the critical speed safely. Due to design tolerances, manufacturing errors and time‐varying factors, the parameters of the damper are inherently uncertain ...
Liyao Song, Meijun Liao, Weifang Chen, Rupeng Zhu, Dan Wang   +4 more
wiley   +1 more source

Exploring the Elastic Properties of Interfacial Transition Zone in Concrete Materials Using an Ensemble Learning Approach

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Concrete materials consist of multiple phases with distinct mechanical properties, making it essential to accurately identify the mechanical behavior of both constituent phases and their interfaces for effective multiscale modeling. This study estimates the elastic properties of the interfacial transition zone using a machine learning (ML ...
Jing Xue, Yajun Cao, Xiaolong Zhao, Jianfu Shao   +3 more
wiley   +1 more source

Early Adolescent Cyberbullying Victimization, Learning Readiness, and Academic Achievement Among South Australian Students

Psychology in the Schools, EarlyView.
ABSTRACT Cyberbullying is an increasingly researched topic in the field of adolescence, largely due to its pervasiveness and negative wellbeing outcomes for victims. However, existing literature in this area largely focuses on those aged above 13 years, despite evidence suggesting that early adolescents (ages 10–13) also experience victimization ...
Jasmin Williams, Sarah Halliday
wiley   +1 more source

Modeling General Asymptotic Calabi–Yau Periods

Fortschritte der Physik, EarlyView.
Abstract In the quest to uncovering the fundamental structures that underlie some of the asymptotic Swampland conjectures the authors initiate the general study of asymptotic period vectors of Calabi–Yau manifolds. The strategy is to exploit the constraints imposed by completeness, symmetry, and positivity, which are formalized in asymptotic Hodge ...
Brice Bastian, Thomas W. Grimm, Damian van de Heisteeg   +2 more
wiley   +1 more source

A Pharmacometric Workflow for Resolving Model Instability in Model Use‐Reuse Settings

CPT: Pharmacometrics &Systems Pharmacology, EarlyView.
ABSTRACT The development of fit‐for‐purpose pharmacokinetic‐pharmacodynamic (PKPD) models based on clinical and pre‐clinical data is a critically important process in model informed drug development. This process is often hampered by modeling stability issues that are often multifactorial in nature and difficult to overcome, leading to protracted model
Stephen B. Duffull, Daniel F. B. Wright, Xiao Zhu, Xin Liu, Ahmed Abulfathi, Hailemichael Hishe   +5 more
wiley   +1 more source

Toward Useful Quantum Kernels

Advanced Quantum Technologies, EarlyView.
The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini, Francesco Martini, Alessandra Di Pierro   +2 more
wiley   +1 more source

What can we Learn from Quantum Convolutional Neural Networks?

Advanced Quantum Technologies, EarlyView.
Quantum Convolutional Neural Networks have been long touted as one of the premium architectures for quantum machine learning (QML). But what exactly makes them so successful for tasks involving quantum data? This study unlocks some of these mysteries; particularly highlighting how quantum data embedding provides a basis for superior performance in ...
Chukwudubem Umeano, Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko   +3 more
wiley   +1 more source

Reproducing the Effects of Quantum Deformation in the Undeformed Jaynes‐Cummings Model

Advanced Quantum Technologies, EarlyView.
The inverse problem approach, where atomic probabilities are modulated according to a time‐dependent coupling, is studied for the Jaynes‐Cummings (JC) model. In particular, emphasis is placed on how to reproduce the effects of quantum deformation in a non‐deformed JC model.
Thiago T. Tsutsui, Antonio S. M. de Castro, Fabiano M. Andrade   +2 more
wiley   +1 more source