Results 31 to 40 of about 40,557 (254)

Hypertension Monitoring by a Real Time Management System for Patients in Community and Its Data Mining by Vector Autoregressive Model

IEEE Access, 2023
Blood pressure has a 24-hour repetitive and regular variation which shows circadian rhythm. Using the multivariate time series analysis method of vector autoregressive model, we could realize the simultaneous prediction for both systolic and diastolic ...
Siyang Chen, Tuoheti Reheman, Chaolun Li, Xichun Wu, Hai Lin, Zhuochen Lin, Xudong Liang, Haiyan Li, Jinxin Zhang   +8 more
doaj   +1 more source

European Sitting Championship: Prevalence and Correlates of Self-Reported Sitting Time in the 28 European Union Member States. [PDF]

PLoS ONE, 2016
OBJECTIVE:Sedentary behaviour is increasingly recognized as an important health risk, but comparable data across Europe are scarce. The objective of this study was to explore the prevalence and correlates of self-reported sitting time in adults across ...
Anne Loyen, Hidde P van der Ploeg, Adrian Bauman, Johannes Brug, Jeroen Lakerveld   +4 more
doaj   +1 more source

Models with hidden regular variation: Generation and detection

Stochastic Systems, 2015
We review the notions of multivariate regular variation (MRV) and hidden regular variation (HRV) for distributions of random vectors and then discuss methods for generating models exhibiting both properties concentrating on the non-negative orthant in ...
Bikramjit Das, Sidney Ira Resnick
doaj   +1 more source

Genotype-phenotype map characteristics of an in silico heart cell

Frontiers in Physiology, 2011
Understanding the causal chain from genotypic to phenotypic variation is a tremendous challenge with huge implications for personalized medicine. Here we argue that linking computational physiology to genetic concepts, methodology and data provides a new
Jon Olav eVik, Arne Bjørke Gjuvsland, Liren eLi, Kristin eTøndel, Steven eNiederer, Nicolas eSmith, Nicolas eSmith, Peter eHunter, Stig William Omholt   +8 more
doaj   +1 more source

Why the long face? Comparative shape analysis of miniature, pony, and other horse skulls reveals changes in ontogenetic growth [PDF]

PeerJ, 2019
Background Much of the shape variation found in animals is based on allometry and heterochrony. Horses represent an excellent model to investigate patterns of size-shape variation among breeds that were intentionally bred for extreme small and large ...
Laura Heck, Marcelo R. Sanchez-Villagra, Madlen Stange   +2 more
doaj   +2 more sources

Baseline Serum Magnesium Level and Its Variability in Maintenance Hemodialysis Patients: Associations with Mortality

Kidney & Blood Pressure Research, 2019
Background/Aims: The study aimed at investigating the impact of serum magnesium (Mg) baseline level and its variability on mortality in maintenance hemodialysis (MHD) patients. Methods: Eligible patients receiving regular MHD at Ningbo No.
Lingping Wu, Kedan Cai, Qun Luo, Lailiang Wang, Yue Hong   +4 more
doaj   +1 more source

On the second order property of elliptical multivariate regular variation

Communications for Statistical Applications and Methods
Moosup Kim
openalex   +3 more sources

Obesity, metabolic syndrome, impaired fasting glucose, and microvascular dysfunction: a principal component analysis approach

BMC Cardiovascular Disorders, 2012
Background We aimed to evaluate the multivariate association between functional microvascular variables and clinical-laboratorial-anthropometrical measurements. Methods Data from 189 female subjects (34.0±15.5 years, 30.5±7.1 kg/m2), who were non-smokers,
Panazzolo Diogo G, Sicuro Fernando L, Clapauch Ruth, Maranhão Priscila A, Bouskela Eliete, Kraemer-Aguiar Luiz G   +5 more
doaj   +1 more source

Multivariate statistical approaches to identify the major factors governing groundwater quality

Applied Water Science, 2018
Multivariate statistical techniques, discriminant analysis, cluster and principal component analysis were applied to the dataset on groundwater quality of Longyan basin of Fujian Province (South China), to extract principal factors controlling the source
Tao Chen, Huafei Zhang, Chengxun Sun, Hongyan Li, Yang Gao   +4 more
doaj   +1 more source

kCCA Transformation-Based Radiometric Normalization of Multi-Temporal Satellite Images

Remote Sensing, 2018
Radiation normalization is an essential pre-processing step for generating high-quality satellite sequence images. However, most radiometric normalization methods are linear, and they cannot eliminate the regular nonlinear spectral differences.
Yang Bai, Ping Tang, Changmiao Hu
doaj   +1 more source