Results 21 to 30 of about 919,275 (319)
Genetic diversity of parental clones used in breeding programs of sugarcane
Electronic Journal of Plant Breeding, 2021 The present investigation aimed to assess the nature and magnitude of genetic divergence available in the Hybridization Block (E1) and National Hybridization Garden (E2) of ICAR-Sugarcane Breeding Institute, Coimbatore and to select the suitable diverse ...
S. Alarmelu*, A. Anna Durai, H. K. Mahadeva Swamy, G. Hemaprabha and Adhini S. Pazhany
doaj +1 more source
RKF-PCA: Robust kernel fuzzy PCA
Neural Networks, 2009 Principal component analysis (PCA) is a mathematical method that reduces the dimensionality of the data while retaining most of the variation in the data. Although PCA has been applied in many areas successfully, it suffers from sensitivity to noise and is limited to linear principal components.
Computer and Information Science and Engineering, University of Florida, United States ( host institution ) +3 more
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Open Chemistry, 2022 Based on metabolomics, the metabolites of Jujube leaves LS1 (one bud and two leaves), LS2 (one bud and three leaves), and LS3 (one bud and four leaves) were taken and examined by ultra-high performance liquid chromatography-mass spectrometry technique ...
Liu Hongxia +5 more
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CONSUMER PREFERENCES IN ECO-TOURISM DEVELOPMENT IN BALI WITH UGC (USER GENERATED CONTENT) APPROACH
AGRISE, 2023 The concept of ecology-based tourism or ecotourism is the main attraction for tourists. This study was conducted to determine the attributes of superior ecotourism at resorts based on consumer preferences using the UGC (User Generated Content) approach ...
Annisa Vira Widayanti +2 more
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Elevated Tumor Lactate and Efflux in High-grade Prostate Cancer demonstrated by Hyperpolarized 13C Magnetic Resonance Spectroscopy of Prostate Tissue Slice Cultures. [PDF]
, 2020 Non-invasive assessment of the biological aggressiveness of prostate cancer (PCa) is needed for men with localized disease. Hyperpolarized (HP) 13C magnetic resonance (MR) spectroscopy is a powerful approach to image metabolism, specifically the ...
Ahamed, Fayyaz +12 more
core +1 more source
Tangent Phylogenetic PCA [PDF]
, 2023 Phylogenetic PCA (p-PCA) is a version of PCA for observations that are leaf nodes of a phylogenetic tree. P-PCA accounts for the fact that such observations are not independent, due to shared evolutionary history. The method works on Euclidean data, but in evolutionary biology there is a need for applying it to data on manifolds, particularly shapes ...
Akhøj, Morten +2 more
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Acta Agriculturae Slovenica, 2020 The ‘Žutica’ represents the most common Montenegrin olive varieties mainly used for the production of olive oil and green and black fruit canning.
Mirjana ADAKALIĆ +5 more
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Deep intelligent predictive model for the identification of diabetes
AIMS Mathematics, 2023 Diabetes mellitus is a severe, chronic disease that occurs when blood glucose levels rise above certain limits. Many complications arise if diabetes remains untreated and unidentified.
Salman khan +2 more
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Domain swapping and amyloid fibril conformation [PDF]
, 2012 For several different proteins an apparent correlation has been observed between the propensity for dimerization by domain-swapping and the ability to aggregate into amyloid-like fibrils.
Van Der Wel, PCA
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Tutorial on PCA and approximate PCA and approximate kernel PCA
Artificial Intelligence Review, 2022 AbstractPrincipal Component Analysis (PCA) is one of the most widely used data analysis methods in machine learning and AI. This manuscript focuses on the mathematical foundation of classical PCA and its application to a small-sample-size scenario and a large dataset in a high-dimensional space scenario.
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