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- research-articleOctober 2023
High-speed internet access and diffusion of new technologies in nonmetro areas
AbstractUsing Federal Communications Commission internet data during the period 2014–2021, this paper studies high-speed internet access across metro and nonmetro areas by technology types. The paper develops the measures of the tract-level availability ...
Highlights- Internet access varies by technology type and across areas.
- High-speed internet had been less available in nonmetro areas.
- A new technology has been deployed at slower rates in nonmetro areas.
- research-articleAugust 2022
A polynomial regression-based approach to estimate relaxation rate maps suitable for multiparametric segmentation of clinical brain MRI studies in multiple sclerosis
- Maria Agnese Pirozzi,
- Mario Tranfa,
- Mario Tortora,
- Roberta Lanzillo,
- Vincenzo Brescia Morra,
- Arturo Brunetti,
- Bruno Alfano,
- Mario Quarantelli
Computer Methods and Programs in Biomedicine (CBIO), Volume 223, Issue Chttps://doi.org/10.1016/j.cmpb.2022.106957Highlights- Relaxation parameters maps (RPMs) can be calculated from spin-echo data.
- Faster ...
Relaxation parameter maps (RPMs) calculated from spin-echo data have provided a basis for the segmentation of normal brain tissues and white matter lesions in multiple sclerosis (MS) MRI studies. ...
- articleAugust 2009
Multiple correspondence analysis in predictive logistic modelling: Application to a living-donor kidney transplantation data
- Renan Moritz Varnier R. Almeida,
- Antonio Fernando C. Infantosi,
- José Hermógenes R. Suassuna,
- João Carlos G. D. Costa
Computer Methods and Programs in Biomedicine (CBIO), Volume 95, Issue 2Pages 116–128https://doi.org/10.1016/j.cmpb.2009.02.003This work deals with the use of multiple correspondence analysis (MCA) and a weighted Euclidean distance (the tolerance distance) as an exploratory tool in developing predictive logistic models. The method was applied to a living-donor kidney transplant ...
- articleJune 2008
A heuristic index for selecting similar categories in multiple correspondence analysis applied to living donor kidney transplantation
- João Carlos G. D. Costa,
- Renan Moritz Varnier R. Almeida,
- Antonio Fernando C. Infantosi,
- José Hermógenes R. Suassuna
Computer Methods and Programs in Biomedicine (CBIO), Volume 90, Issue 3Pages 217–229https://doi.org/10.1016/j.cmpb.2008.01.005This work introduces a heuristic index (the ''tolerance distance'') to define the ''closeness'' of two variable categories in multiple correspondence analysis (MCA). This index is a weighted Euclidean distance where weightings are based on the ''...