Results 81 to 90 of about 2,924,633 (320)

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Freezing of Nonlinear Bloch Oscillations in the Generalized Discrete Nonlinear Schrodinger Equation

, 2004
The dynamics in a nonlinear Schrodinger chain in an homogeneous electric field is studied. We show that discrete translational invariant integrability-breaking terms can freeze the Bloch nonlinear oscillations and introduce new faster frequencies in ...
A. C. Scott, F. J. Cao, M. Bruschi, V. V. Konotop   +3 more
core   +2 more sources

Energy dependence of the GAFCHROMIC LD‐V1 in the diagnostic radiographic modalities

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract The GAFCHROMIC LD‐V1 radiochromic film is widely used in dosimetry because it can provide high‐resolution two‐dimensional dose distributions without processing. This study aimed to evaluate the response characteristics at different effective energies, from the low‐energy range of mammography to the high‐energy range of computed tomography. Net
Tatsuhiro Gotanda, Tomoyuki Hasuo, Shinnosuke Nishihara, Kohsei Matsuura, Yasuyuki Kawaji, Hidetoshi Yatake, Shinya Imai, Takuya Akagawa, Nobuyoshi Tanki, Toshizo Katsuda   +9 more
wiley   +1 more source

Adaptive Local Maximum-Entropy Surrogate Model and Its Application to Turbine Disk Reliability Analysis

Aerospace, 2022
The emerging Local Maximum-Entropy (LME) approximation, which combines the advantages of global and local approximations, has an unsolved issue wherein it cannot adaptively change the morphology of the basis function according to the local ...
Jiang Fan, Qinghao Yuan, Fulei Jing, Hongbin Xu, Hao Wang, Qingze Meng   +5 more
doaj   +1 more source

Progressive Myoclonus Epilepsy: Distinctive MRI Changes in Cerebellar and Motor Networks

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progressive myoclonus epilepsy (PME) is a rare generalized epilepsy syndrome with a well‐characterized genetic basis. The brain networks that are affected to give rise to the distinctive symptoms of PME are less well understood. Methods Eleven individuals with PME with a confirmed genetic diagnosis and 22 controls were studied.
Jillian M. Cameron, Remika Mito, Samuel F. Berkovic, Graeme D. Jackson   +3 more
wiley   +1 more source

SARS‐CoV‐2 Is Linked to Brain Volume Loss in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The impact of SARS‐CoV‐2 infection on brain and spinal cord pathology in patients with multiple sclerosis (pwMS) remains unclear. We aimed to describe changes in brain lesion activity and brain and spinal cord volumes following SARS‐CoV‐2 infection.
Tomas Uher, Dominika Stastna, Ingrid Menkyova, Vaclav Capek, Jiri Lindner, Petra Nytrova, Jan Krasensky, Eliza Varju, Miguel D'haeseleer, Eva Kubala Havrdova, Dana Horakova, Manuela Vaneckova, Niels Bergsland   +12 more
wiley   +1 more source

Nonlinear Screening and Effective Electrostatic Interactions in Charge-Stabilized Colloidal Suspensions

, 2004
A nonlinear response theory is developed and applied to electrostatic interactions between spherical macroions, screened by surrounding microions, in charge-stabilized colloidal suspensions.
A. R. Denton, B. V. Derjaguin, E. J. W. Verwey, F. Oosawa, I. S. Gradstein, J. Hafner, J.-P. Hansen, J.-P. Hansen, K. S. Schmitz, N. W. Ashcroft, P. N. Pusey, R. J. Hunter   +11 more
core   +1 more source

Optimal approximation model of autocorrelation function of digital image

Tongxin xuebao, 2011
Non-stationary stochastic signal was divided into piecewise stationary stochastic signal,and reflecting the sig-nal’s characteristics by autocorrelation function of the piecewise stationary stochastic signal.Generally,the autocorrela-tion function was ...
CHENG Xiao-gang1, CHEN Qi-mei1, CHENG Hao2, LIU Guo-qing2, AN Ming-wei1   +4 more
doaj  

Successive approximate solutions for nonlinear oscillation and improvement of the solution accuracy with efficient non-perturbative technique

Journal of Low Frequency Noise, Vibration and Active Control, 2023
In the present study, several successive approximate solutions of the nonlinear oscillator are derived by using the efficient frequency formula. A systematical analysis of the formulation of the nonlinear frequency helps to establish a general periodic ...
Yusry O El-Dib, Haifa A Alyousef
doaj   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source