Results 51 to 60 of about 12,931,660 (289)

Potential Early Risk Biomarkers for Reduced Forced Expiratory Volume in Children Post‐Hematopoietic Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small, Pi Chun Cheng, April L. Rahrig, Courtney M. Rowan   +3 more
wiley   +1 more source

Model-Independent Sum Rule Analysis Based on Limited-Range Spectral Data

, 2007
Partial sum rules are widely used in physics to separate low- and high-energy degrees of freedom of complex dynamical systems. Their application, though, is challenged in practice by the always finite spectrometer bandwidth and is often performed using ...
A B Kuzmenko, Aizenberg L A, Carbone F, Carleman T, D van der Marel, Dienstfrey A, F Carbone, F Marsiglio, Goluzin G M, Hulthen R, MacRobert T M, Santander-Syro A F, Wooten F   +12 more
core   +2 more sources

Personalizing the Pediatric Hematology/Oncology Fellowship: Adapting Training for the Next Generation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein, Melissa J. Rose, Scott Moerdler, Richard Ho   +3 more
wiley   +1 more source

Expectation Propagation in the Large Data Limit [PDF]

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2017
SummaryExpectation propagation (EP) is a widely successful algorithm for variational inference. EP is an iterative algorithm used to approximate complicated distributions, typically to find a Gaussian approximation of posterior distributions. In many applications of this type, EP performs extremely well.
Dehaene, Guillaume, Barthelme, Simon
openaire   +4 more sources

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Segmenting medical images with limited data

Neural Networks
While computer vision has proven valuable for medical image segmentation, its application faces challenges such as limited dataset sizes and the complexity of effectively leveraging unlabeled images. To address these challenges, we present a novel semi-supervised, consistency-based approach termed the data-efficient medical segmenter (DEMS).
Zhaoshan Liu, Qiujie Lv, Chau Hung Lee, Lei Shen   +3 more
openaire   +3 more sources

Digital Soil Mapping with Limited Data [PDF]

, 2008
There has been considerable expansion in the use of digital soil mapping technologies and development of methodologies that improve digital soil mapping at all scales and levels of resolution. These developments have occurred in all parts of the world in the past few years and also in countries where it was previously absent.
Hartemink, A.E., McBratney, A.B., de Lourdes Mendonça-Santos, M.   +2 more
openaire   +2 more sources

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine, Béliard Sophie, Renard Cécile, Caussy Cyrielle, Hamidou Zeinab, Romano David, Gacem Mélanie, Petit Arnaud, Saultier Paul, Borentain Patrick, Michel Gérard   +10 more
wiley   +1 more source

Physics-Informed Neural Networks for Structural Mechanics and Construction: Modeling the Deflection of a Single-Span Beam Physics-Informed Neural Networks

Железобетонные конструкции
This article presents the development and analysis of a Physics-Informed Neural Network (PINN) model for calculating the deflection of a simply supported beam under uniformly distributed load.
F. N. Zakharov, Qian Jie, Xu Yi
doaj   +1 more source

Brickognize: Applying Photo-Realistic Image Synthesis for Lego Bricks Recognition with Limited Data

Sensors, 2023
During the last few years, supervised deep convolutional neural networks have become the state-of-the-art for image recognition tasks. Nevertheless, their performance is severely linked to the amount and quality of the training data.
Joel Vidal, Guillem Vallicrosa, Robert Martí, Marc Barnada   +3 more
doaj   +1 more source