Results 81 to 90 of about 149,509 (268)
ABSTRACT Background Childhood aplastic anemia (AA) is a rare disease, and both the disease itself and its treatment cause significant morbidity. We aimed to determine the contemporary incidence of childhood AA in Finland, to compare the clinical characteristics of AA against inherited bone marrow failure syndromes (IBMFS) and refractory cytopenia of ...
Lauri‐Matti Kulmala +8 more
wiley +1 more source
Accurately predicting carbon trading price is challenging due to pronounced nonlinearity, non-stationarity, and sensitivity to diverse factors, including macroeconomic conditions, market sentiment, and climate policy.
Xu Wang +5 more
doaj +1 more source
Determining Parental Factors for Clinical Trial Attrition in Pediatric Acute Lymphoblastic Leukemia
ABSTRACT Background/Objectives Despite high enrollment rates on Children's Oncology Group (COG) protocols, attrition after initial consent is challenging, introducing bias and prolonging trial completion. While adult oncology literature has identified predictors of withdrawal, little is known about caregiver decision‐making for child participation in ...
Kimberly L. Stathas +3 more
wiley +1 more source
A System Dynamics Framework for Market Share Forecasting in the Telecommunications Market
This paper presents a novel system dynamics-based framework for forecasting market share evolution in the telecommunications sector. The framework conceptualizes market share as flows of subscribers—driven by churn, attraction, and market growth—between ...
Nikolaos Kanellos +2 more
doaj +1 more source
ABSTRACT Introduction Nephrogenic rests (NRs) and nephroblastomatosis (NBM) are precursor lesions for development of Wilms tumor (WT). Their association with the risk of relapse has not been properly assessed, partly due to misunderstanding of their diagnostic criteria and terminology.
Gordan M. Vujanić +5 more
wiley +1 more source
A New Loss Function for Enhancing Peak Prediction in Time Series Data with High Variability
Time series models are considered among the most intricate models in machine learning. Due to sharp temporal variations, time series models normally fall short in predicting the peaks or local minima accurately.
Mahan Hajiabbasi Somehsaraie +4 more
doaj +1 more source
It starts in October, the merciless grey morass that gets worse in November and sucks you down into a boghole of misery. It's deep, and oozing, nearly as deep as the silence of a middle aged man in a McGahern novel. Rain. Imagine what all that dreck and drear does to the psyche. It's like the inside of The Poor Mouth and The Hard Life in there.
openaire +3 more sources
ABSTRACT We report a retrospective single‐center analysis of pediatric patients with relapsed or refractory B‐cell precursor acute lymphoblastic leukemia focusing on relapses outside of the typical locations, bone marrow, central nervous system, or testes.
Johanna Kunz +7 more
wiley +1 more source
This study introduces a novel k-nearest neighbors (kNN) method of forecasting precipitation at weather-observing stations. The method identifies numerous monthly temporal patterns to produce precipitation forecasts for a specific month.
Sean Guidry Stanteen +3 more
doaj +1 more source
ABSTRACT Background Person‐centred follow‐up care based on evidence‐based clinical practice guidelines and providing individualised information should help to inform and reassure survivors about their medical and psychosocial situation and provide treatment and support where needed.
Gisela Michel +36 more
wiley +1 more source

