Results 121 to 130 of about 1,093,856 (281)

Multivariate Statistics [PDF]

, 2013
K. Gerald van den Boogaart, Raimon Tolosana-Delgado   +1 more
  +4 more sources

Applied Multivariate Statistics with R

Journal of Statistical Software, 2016
David W. Zeitler
doaj   +1 more source

Reverse logistics for recycling: The customer service [PDF]

International Journal of Business Science and Applied Management, 2009
Customer service is a central concern in the logistics practice and a study topic in the forward logistics research. This article investigates the elements of customer service and their importance in reverse logistics for recycling. Since consumer is the
Reis, E., Menezes, J., Oom do Valle, P., Rebelo, E.   +3 more
doaj  

Associations of lifestyle‐related factors and psoriatic arthritis disease activity: the Dutch south west psoriatic arthritis study

Arthritis Care &Research, Accepted Article.
Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients newly diagnosed with PsA, between 2013 and 2023. A composite lifestyle risk score (range 0 to 5) was calculated using five lifestyle‐
Batoul Hojeij, Ilja Tchetverikov, Marc R. Kok, Marijn Vis, Yvonne Goekoop‐Ruiterman, Jessica Bijsterbosch, Paul Baudoin, Reinhard Bos, Jos H. van der Kaap, Petra Kok, Lindy‐Anne Korswagen, Jolanda J. Luime   +11 more
wiley   +1 more source

Improved identification of pollution source attribution by using PAH ratios combined with multivariate statistics. [PDF]

Sci Rep, 2022
Mali M, Ragone R, Dell'Anna MM, Romanazzi G, Damiani L, Mastrorilli P.   +5 more
europepmc   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Establishment of a quality evaluation system of sweet potato starch using multivariate statistics. [PDF]

Front Nutr, 2022
Ma C, Zhang Y, Yue R, Zhang W, Sun J, Ma Z, Niu F, Zhu H, Liu Y.   +8 more
europepmc   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

HS-SPME-GC × GC/MS combined with multivariate statistics analysis to investigate the flavor formation mechanism of tank-fermented broad bean paste. [PDF]

Food Chem X, 2023
Liao S, Han J, Jiang C, Zhou B, Jiang Z, Tang J, Ding W, Che Z, Lin H.   +8 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source