Results 51 to 60 of about 20,295,200 (307)

A Family of Correlated Observations: From Independent to Strongly Interrelated Ones

open access: yesStats, 2020
This paper proposes a new classification of correlated data types based upon the relative number of direct connections among observations, producing a family of correlated observations embracing seven categories, one whose empirical counterpart currently
Daniel A. Griffith
doaj   +1 more source

Comparing Posturographic Time Series Through Events Detection [PDF]

open access: yes, 2008
The comparison of two time series and the extraction of subsequences that are common to the two is a complex data mining problem. Many existing techniques, like the Discrete Fourier Transform (DFT), offer solutions for comparing two whole time series ...
Caraça-Valente Hernández, Juan Pedro   +9 more
core   +1 more source

Surrogate time series

open access: yesPhysica D: Nonlinear Phenomena, 2000
28 pages, 23 figures, software at http://www.mpipks-dresden.mpg.de ...
Schreiber, Thomas, Schmitz, Andreas
openaire   +3 more sources

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld   +5 more
wiley   +1 more source

On predicting climate under climate change

open access: yesEnvironmental Research Letters, 2013
Can today’s global climate model ensembles characterize the 21st century climate in their own ‘model-worlds’? This question is at the heart of how we design and interpret climate model experiments for both science and policy support.
Joseph D Daron, David A Stainforth
doaj   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine   +17 more
wiley   +1 more source

Mixed portmanteau tests for time-series models

open access: yes, 2005
This paper obtains the joint limiting distribution of residuals and squared residuals of a general time-series model. Based on this, we propose a mixed portmanteau statistic for testing the adequacy of fitted time-series models.
Wong, H   +3 more
core   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani   +7 more
wiley   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk   +10 more
wiley   +1 more source

A Green AI Methodology Based on Persistent Homology for Compressing BERT

open access: yesApplied Sciences
Large Language Models (LLMs) like BERT have gained significant prominence due to their remarkable performance in various natural language processing tasks. However, they come with substantial computational and memory costs.
Luis Balderas   +2 more
doaj   +1 more source

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