Results 41 to 50 of about 12,931,660 (289)

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar   +8 more
wiley   +1 more source

A Siamese Vision Transformer for Bearings Fault Diagnosis

open access: yesMicromachines, 2022
Fault diagnosis methods based on deep learning have progressed greatly in recent years. However, the limited training data and complex work conditions still restrict the application of these intelligent methods. This paper proposes an intelligent bearing
Qiuchen He   +5 more
doaj   +1 more source

Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease

open access: yes, 2018
We propose a new iterative segmentation model which can be accurately learned from a small dataset. A common approach is to train a model to directly segment an image, requiring a large collection of manually annotated images to capture the anatomical ...
C Payer   +10 more
core   +1 more source

Intertemporal consumption choices, transaction costs and limited participation to financial markets: reconciling data and theory [PDF]

open access: yes, 2006
This paper builds a unifying framework that, within the theory of intertemporal consumption choices, brings together the limited participation -based explanation of the poor empirical performance of the C-CAPM and the transaction costs-based explanation ...
Attanasio, O., Paiella, M.
core   +1 more source

Limited data speaker identification

open access: yesSadhana, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jayanna, H. S., Prasanna, S. R. Mahadeva
openaire   +3 more sources

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis   +9 more
wiley   +1 more source

Mapping global public perspectives on mRNA vaccines and therapeutics

open access: yesnpj Vaccines
The development and rollout of mRNA vaccines during COVID-19 marked a significant advancement in vaccinology, yet public hesitation to vaccination was prevalent, indicating the potential risk that future mRNA-based medical innovations will fail to be ...
Jiaxiang Xu   +4 more
doaj   +1 more source

Prediction of groundwater flow in shallow aquifers using artificial neural networks in the northern basins of Algeria

open access: yesJournal of Water and Climate Change, 2021
Prediction of groundwater flow fluctuations is considered an important step in understanding groundwater systems at this scale and facilitating sustainable groundwater management. The objective of this study is to determine the factors that influence and
N. Guezgouz, D. Boutoutaou, A. Hani
doaj   +1 more source

Pazopanib Combined With Vincristine and Irinotecan in Relapsed Wilms Tumor: Encouraging Outcomes in a Heavily Pretreated Pediatric Cohort

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale   +6 more
wiley   +1 more source

Denoising Adversarial Autoencoders: Classifying Skin Lesions Using Limited Labelled Training Data

open access: yes, 2018
We propose a novel deep learning model for classifying medical images in the setting where there is a large amount of unlabelled medical data available, but labelled data is in limited supply.
Bharath, Anil A   +2 more
core   +1 more source

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