scholarly journals MRI and biomechanics multidimensional data analysis reveals R2 -R1ρ as an early predictor of cartilage lesion progression in knee osteoarthritis

2017 ◽  
Vol 47 (1) ◽  
pp. 78-90 ◽  
Author(s):  
Valentina Pedoia ◽  
Jenny Haefeli ◽  
Kazuhito Morioka ◽  
Hsiang-Ling Teng ◽  
Lorenzo Nardo ◽  
...  
Keyword(s):  
Data Analysis ◽  
Knee Osteoarthritis ◽  
Cartilage Lesion ◽  
Multidimensional Data ◽  
Multidimensional Data Analysis ◽  
Early Predictor

Use of multidimensional data analysis for prediction of lung malignity

2009 ◽  
Vol 50 (2) ◽  
pp. 210-215 ◽  
Author(s):  
Viera Mrázová ◽  
Ján Mocák ◽  
Elena Varmusová ◽  
Denisa Kavková ◽  
Adriana Bednárová
Keyword(s):  
Data Analysis ◽  
Multidimensional Data ◽  
Multidimensional Data Analysis

scholarly journals Influence of nutrients in soil and vine leaves and meteorological factors upon vine crop and must quality

2021 ◽  
Vol 8 (1) ◽  
pp. 71-77
Author(s):  
Filip Kraic ◽  
Ján Mocák ◽  
Miroslav Argay
Keyword(s):  
Data Analysis ◽  
Meteorological Factors ◽  
Multidimensional Data ◽  
Vegetation Changes ◽  
Multidimensional Data Analysis ◽  
Final Goal ◽  
Vineyard Soil ◽  
Calcium And Magnesium ◽  
Nitrogen Phosphorus

The aim of this work was to analyze the supply of vine by nutrients by determining the content of nitrogen, phosphorus, potassium, calcium and magnesium in the vineyard soil and the vine leaves. Its further goal was to discover mutual relationships among the content of determined nutrients, the vine crop, and the quality of the produced must. Must quality was here defined by the contents of sugar and acids. The final goal was to investigate the relations among the nutrients, vine crop and its quality and meteorological factors measured during the whole year cycle, and especially at the time of important vegetation changes. The necessary evaluations were performed using multidimensional data analysis.

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