Results 31 to 40 of about 1,628,040 (272)
Journal of Groundwater Science and EngineeringThe coastal areas of the lower reaches of Oujiang River Basin are rich in groundwater resources. However, the unsustainable exploitation and utilization of groundwater have led to significant changes in the groundwater environment.
Mei-hui Zhang +10 more
doaj +1 more source
IEEE Access, 2021 This paper proposed a comprehensive evaluation (CE) framework concerning multivariate statistical analysis to provide a systematic assessment and a hierarchical analysis for the urban integrated transportation network (UITN).
Changjiang Zheng +5 more
doaj +1 more source
Uncovering the formation of ultra-compact dwarf galaxies by multivariate statistical analysis
, 2012 We present a statistical analysis of the properties of a large sample of dynamically hot old stellar systems, from globular clusters to giant ellipticals, which was performed in order to investigate the origin of ultra-compact dwarf galaxies.
Antonov +56 more
core +1 more source
Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis +9 more
wiley +1 more source
Multivariate statistical analysis for damage and delamination in composite structures [PDF]
, 2013 The article is devoted to the analysis of the vibration response of composite laminates .Our aim is to develop a method for analysis of the vibration response of structures made of composites which will also be used to develop a vibration-based health ...
Garcia, David, Trendafilova, Irina
core
Machine Learning for Neuroimaging with Scikit-Learn [PDF]
, 2013 Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g. multivariate analysis of activation images or resting-state time series.
Abraham, Alexandre +8 more
core +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura +5 more
wiley +1 more source
Gini s ideas: new perspectives for modern multivariate statistical analysis
Statistica, 2013 Corrado Gini (1884-1964) may be considered the greatest Italian statistician. We believe that his important contributions to statistics, however mainly limited to the univariate context, may be profitably employed in modern multivariate statistical ...
Angela Montanari, Paola Monari
doaj +1 more source
Multivariate statistical analysis in chickpea (Cicer arietinum L.) under limited irrigation [PDF]
پژوهشهای حبوبات ایران, 2014 In order to evaluate of yield and yield components of chickpea genotypes, path analysis set to facilitate the selection of high yielding varieties in limited irrigation.
Maryam Pirzadeh Moghaddam +3 more
doaj +1 more source