Results 51 to 60 of about 1,002,594 (295)

Developmental Disorders in Children Recently Diagnosed With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag   +5 more
wiley   +1 more source

Protein, lipid and isoflavone contents of food-type soybean lines at two sowing dates

open access: yesBioscience Journal, 2018
Few works have reported the relationship among genotype, temperature, rainfall and the chemical compounds of soybean. Therefore, the aim of this study was to investigate the interaction effect between soybean food-type inbred lines sowed in two ...
Leandro Simões Azeredo Gonçalves   +6 more
doaj   +3 more sources

Functional principal component analysis for cointegrated functional time series

open access: yesJournal of Time Series Analysis, 2023
Functional principal component analysis (FPCA) has played an important role in the development of functional time series analysis. This note investigates how FPCA can be used to analyze cointegrated functional time series and proposes a modification of FPCA as a novel statistical tool.
openaire   +2 more sources

On linear regression models in infinite dimensional spaces with scalar response

open access: yes, 2015
In functional linear regression, the parameters estimation involves solving a non necessarily well-posed problem and it has points of contact with a range of methodologies, including statistical smoothing, deconvolution and projection on finite ...
Aletti, Giacomo   +3 more
core   +1 more source

Structured penalties for functional linear models---partially empirical eigenvectors for regression [PDF]

open access: yes, 2011
One of the challenges with functional data is incorporating spatial structure, or local correlation, into the analysis. This structure is inherent in the output from an increasing number of biomedical technologies, and a functional linear model is often ...
Feng, Ziding   +2 more
core   +3 more sources

Exercise Interventions in Children, Adolescents and Young Adults With Paediatric Bone Tumours—A Systematic Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser   +5 more
wiley   +1 more source

Functional quantile principal component analysis

open access: yesBiostatistics
Summary This paper introduces functional quantile principal component analysis (FQPCA), a dimensionality reduction technique that extends the concept of functional principal components analysis (FPCA) to the examination of participant-specific quantiles curves.
Méndez-Civieta, Álvaro   +3 more
openaire   +2 more sources

Mapping the evolution of mitochondrial complex I through structural variation

open access: yesFEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin   +2 more
wiley   +1 more source

Spatial Structure and Evolution of Territorial Function of Rural Areas at Cultural Heritage Sites from the Perspective of Social Space

open access: yesLand, 2023
Affected by multiple factors, differentiated capital investment and power games have led to the uneven regional development of rural areas at cultural heritage sites.
Chong Wu   +3 more
doaj   +1 more source

Sparse Principal Component Analysis via Fractional Function Regularity [PDF]

open access: yesMathematical Problems in Engineering, 2020
In this paper, we describe a novel approach to sparse principal component analysis (SPCA) via a nonconvex sparsity-inducing fraction penalty function SPCA (FP-SPCA). Firstly, SPCA is reformulated as a fraction penalty regression problem model. Secondly, an algorithm corresponding to the model is proposed and the convergence of the algorithm is ...
Xuanli Han   +3 more
openaire   +2 more sources

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