Results 31 to 40 of about 174,537,063 (257)

Learning parameterized quantum circuits with quantum gradient

npj Quantum Information
Parameterized quantum circuits (PQCs) are crucial for quantum machine learning and circuit synthesis, enabling the practical implementation of complex quantum tasks. However, PQC learning has been largely confined to classical optimization methods, which
Keren Li, Yuanfeng Wang, Pan Gao, Shenggen Zheng   +3 more
doaj   +1 more source

Relationship Between QT Interval and Outcome in Low‐Flow Low‐Gradient Aortic Stenosis With Low Left Ventricular Ejection Fraction

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2016
BackgroundQT interval has been shown to be associated with cardiovascular events. There is no data regarding the association between QT interval and left ventricular (LV) function and prognosis in patients with low LV ejection fraction (LVEF), low‐flow ...
Abdellaziz Dahou, Oumhani Toubal, Marie‐Annick Clavel, Jonathan Beaudoin, Julien Magne, Patrick Mathieu, François Philippon, Jean G. Dumesnil, Rishi Puri, Henrique B. Ribeiro, Éric Larose, Josep Rodés‐Cabau, Philippe Pibarot   +12 more
doaj   +1 more source

Color-coded summation images for the evaluation of blood flow in endovascular aortic dissection fenestration

BMC Medical Imaging, 2022
Background To analyze the benefit of color-coded summation images in the assessment of target lumen perfusion in patients with aortic dissection and malperfusion syndrome before and after fluoroscopy-guided aortic fenestration.
Anne Marie Augustin, Franziska Wolfschmidt, Thilo Elsässer, Alexander Sauer, Alexander Dierks, Thorsten Alexander Bley, Ralph Kickuth   +6 more
doaj   +1 more source

Bone Mineral Density After Contemporary Treatment for Acute Lymphoblastic Leukaemia: A Matched Cross‐Sectional Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Reduced bone mineral density (BMD) has been reported in survivors of childhood and young adult acute lymphoblastic leukaemia (ALL); however, data from cohorts treated with contemporary protocols and including matched controls remain limited.
Karen Schow Jensen, Mette Tiedemann Skipper, Niels Holtum Birkebæk, Kjeld Schmiegelow, Thomas Leth Frandsen, Bente Langdahl, Rikke Beck Jensen, Asger Roer Pedersen, Christian Mølgaard, Liv Andrés‐Jensen, Birgitte Klug Albertsen   +10 more
wiley   +1 more source

Diffusion tensor imaging in anisotropic tissues: application of reduced gradient vector schemes in peripheral nerves

European Radiology Experimental
Background In contrast to the brain, fibers within peripheral nerves have distinct monodirectional structure questioning the necessity of complex multidirectional gradient vector schemes for DTI.
Olivia Foesleitner, Alba Sulaj, Volker Sturm, Moritz Kronlage, Fabian Preisner, Zoltan Kender, Martin Bendszus, Julia Szendroedi, Sabine Heiland, Daniel Schwarz   +9 more
doaj   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

Stochastic Variance-Reduced Policy Gradient [PDF]

, 2018
In this paper, we propose a novel reinforcement-learning algorithm consisting in a stochastic variance-reduced version of policy gradient for solving Markov Decision Processes (MDPs).
Pirotta, Matteo, Binaghi, Damiano, CANONACO, GIUSEPPE, PAPINI, MATTEO, Restelli, Marcello   +4 more
core   +3 more sources

Wasserstein GAN for moving differential privacy protection

Scientific Reports
Training machine learning models often requires large datasets, but using sensitive data for training poses risks of privacy leakage. Differentially private generative models can synthesize simulated data to prevent privacy breaches.
Enze Liu, Zhiguang Chu, Xing Zhang
doaj   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer

BMC Bioinformatics
Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of gene expression by allowing researchers to analyze the transcriptomes of individual cells. This technology provides unprecedented insights into cellular heterogeneity, cellular states,
Osama Elnahas, Waleed M. Ead, Yushan Qiu, Jian Lu   +3 more
doaj   +1 more source