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Comparative study of stability models for identifying stable spring wheat genotypes in diverse conditions
Published 2025-02-01Subjects: Get full text
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A new approach for evaluating maize transgressive segregants and their three-way cross potential in the S4 convergent breeding population
Published 2025-01-01Subjects: Get full text
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MOADA-SVR:a multivariate online anomaly detection algorithm based on SVR
Published 2011-01-01Subjects: Get full text
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Multivariate Analysis, Mass Balance Techniques, and Statistical Tests as Tools in Igneous Petrology: Application to the Sierra de las Cruces Volcanic Range (Mexican Volcanic Belt)
Published 2014-01-01“…However, a more complete and quantitative view could be reached applying multivariate analysis, mass balance techniques, and statistical tests. …”
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Assessing Pollution with Heavy Metals and Its Impact on Population Health
Published 2025-01-01Subjects: “…multivariate analysis…”
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Rooting, Growth, and Root Morphology of the Cuttings of <i>Ficus carica</i> L. (cv. “Dottato”): Cutting Types and Length and Growth Medium Effects
Published 2025-01-01Subjects: Get full text
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Variability of morphometrical characteristics of needles at a clonal plantation of plus trees of scots pine (Pinus sylvestris L.)
Published 2017-04-01Subjects: Get full text
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Fast real-time monitoring of entacapone crystallization and characterization of polymorphs via Raman spectroscopy, statistics and SWAXS
Published 2014-03-01Subjects: Get full text
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MDMA. Un modèle pour l’identification et l’annotation des marqueurs discursifs « potentiels » en contexte
Published 2015-09-01Subjects: Get full text
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Seroprevalence of Borrelia burgdorferi sensu lato antibodies in English adult blood donors: A nationwide cross-sectional study, 2021–2022
Published 2025-01-01Subjects: Get full text
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Association of e-cigarette and cigarette use with self-reported chronic obstructive pulmonary disease (COPD): a multivariable analysis of a large United States data set
Published 2025-02-01“…Methods Data from the 2020 National Health Interview Survey were used to estimate the association between each of 9 exposure categories based on cigarette use (never, former, current) and e-cigarette use (never, former, current), with respondent-reported physician-diagnosed COPD prevalence in individuals 40 years and older (N = 22,997). Weighted multivariable analysis accounted for cigarette pack years, age of cigarette smoking onset, race, income-to-poverty ratio, rurality, gender, age, and medical comorbidities. …”
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