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Unfolding an electronic integrate-and-fire circuit
TLDR
We show how the classical first-order I+F model fits into the theory of nonlinear oscillators of van der Pol type by demonstrating that a particular second-order oscillator having small parameters converges in a singular perturbation limit to the I+ F model. Expand
Multiparametric characterization of scientometric performance profiles assisted by neural networks: a study of Mexican higher education institutions
TLDR
We analyze the evolution of Mexican scientific production in Scopus and the Web of Science as well as Mexico’s scientific productivity in relation to the growth of the National Researchers System of Mexico. Expand
Diagnosis of breast cancer using Bayesian networks: A case study
TLDR
We evaluate the effectiveness of seven Bayesian network classifiers as potential tools for the diagnosis of breast cancer using two real-world databases containing fine-needle aspiration of the breast lesion cases collected by a single observer and multiple observers. Expand
Discovering interobserver variability in the cytodiagnosis of breast cancer using decision trees and Bayesian networks
TLDR
We evaluate the performance of two decision tree procedures and four Bayesian network classifiers as potential decision support systems in the cytodiagnosis of breast cancer. Expand
Diseases and vector: a 10 years view of scientific literature on Aedes aegypti
TLDR
This short communication is a bibliometric approach about research on Aedes aegypti-transmitted diseases, which is responsible for more than 25,000 deaths annually. Expand
Characterization of the Cuban biopharmaceutical industry from collaborative networks
Studies of scientific collaboration have introduced the concepts of collaborative networks. These networks may represent the social structure of a community of researchers or knowledge transmissionExpand
Comparison of the Performance of Seven Classifiers as Effective Decision Support Tools for the Cytodiagnosis of Breast Cancer: A Case Study
TLDR
We evaluate the performance of seven classifiers as effective potential decision support tools in the cytodiagnosis of breast cancer in a real-world database containing 692 fine needle aspiration cases collected by a single observer. Expand
On the Possibility of Reliably Constructing a Decision Support System for the Cytodiagnosis of Breast Cancer
TLDR
We evaluate the performance of three Bayesian network classifiers as decision support system in the cytodiagnosis of breast cancer. Expand
Self-Organizing Maps with Cokriging Porosity Applied to Sand-Shale Reservoirs using Seismic
We selected seismograms from a 3D seismic survey acquired at the Waggoner Ranch, Texas to characterize the distribution of porosities in each lithofacie. Porosity images were obtained using cokrigingExpand
The multidisciplinary nature of COVID-19 research
Objective. We analyzed the scientific output after COVID-19 and contrasted it with studies published in the aftermath of seven epidemics/pandemics: Severe Acute Respiratory Syndrome (SARS), InfluenzaExpand
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