Results 51 to 60 of about 10,617,293 (333)

Remaining Useful Life Prediction of Turbofan Engine in Varied Operational Conditions Considering Change Point: A Novel Deep Learning Approach with Optimum Features

open access: yesMathematics
In the era of Internet of Things (IoT), remaining useful life (RUL) prediction of turbofan engines is crucial. Various deep learning (DL) techniques proposed recently to predict RUL for such systems have remained silent on the effect of environmental ...
Subrata Rath   +3 more
doaj   +1 more source

Cluster analysis of drought variation and its mutation characteristics in Xinjiang province, during 1961–2015

open access: yesHydrology Research, 2018
The Xinjiang province of China is vulnerable to drought, but the occurrence of drought varies substantially among different sub-areas. This study investigated drought characteristics in Xinjiang province and its sub-area using the Mann–Kendall trend test,
Pei Xie   +5 more
doaj   +1 more source

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

open access: yesPediatric 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   +10 more
wiley   +1 more source

Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings

open access: yesFrontiers in Neuroinformatics, 2018
Time series, as frequently the case in neuroscience, are rarely stationary, but often exhibit abrupt changes due to attractor transitions or bifurcations in the dynamical systems producing them.
Hazem Toutounji   +2 more
doaj   +1 more source

Hierarchical Change Point Detection on Dynamic Networks

open access: yes, 2017
This paper studies change point detection on networks with community structures. It proposes a framework that can detect both local and global changes in networks efficiently. Importantly, it can clearly distinguish the two types of changes.
Chakrabarti, Aniket   +3 more
core   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard   +8 more
wiley   +1 more source

Large-scale drivers of the exceptionally low winter Antarctic sea ice extent in 2023

open access: yesFrontiers in Earth Science
The year 2023 marked a turning point for the Antarctic region as the Southern Hemisphere experienced a significant reduction in its sea ice extent, with a record-breaking sea ice minimum in July 2023 of approximately 2.4 million square kilometers below ...
Monica Ionita, Monica Ionita
doaj   +1 more source

Multiscale change-point segmentation: beyond step functions.

open access: yes, 2019
Modern multiscale type segmentation methods are known to detect multiple change-points with high statistical accuracy, while allowing for fast computation.
Guo, Q., Li, H., Munk, A.
core   +2 more sources

Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li   +6 more
wiley   +1 more source

Spatio-temporal analysis of rainfall trends in Chhattisgarh State, Central India over the last 115 years

open access: yesJournal of Water and Land Development, 2018
A quantitative and qualitative understanding of the anticipated climate-change-driven multi-scale spatio-temporal shifts in precipitation and attendant river flows is crucial to the development of water resources management approaches capable of ...
Nema Manish K.   +3 more
doaj   +1 more source

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