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Prediction of retention times of proteins in hydrophobic interaction chromatography using only their amino acid composition
(ELSEVIER SCIENCE BV, 2005-12-09)
This paper focuses on the prediction of the dimensionless retention time of proteins (DRT) in hydrophobic interaction chromatography (HIC) by means of mathematical models based, essentially, only on aminoacidic composition. ...
A Review of Empirical Operations Management over the Last Two Decades
(Informs, 2020)
We develop a database of all empirical research related to operations management in the journals Management Science, Manufacturing and Service Operations Management (M&SOM), and Production and Operations Management (POM) ...
Soil organic matter-metal interactions in Chilean volcanic soils under different agronomic management
(MARCEL DEKKER INC, 2002)
The organic matter existing in volcanic soils must be investigated not only in quantity, but also in quality in order to understand its role in soils and thus ensure adequate levels of stable organic polymers contributing ...
Load estimation based on self-organizing maps and Bayesian networks for microgrids design in rural zones
(IEEE, 2017)
Microgrids are suitable electrical solutions for
providing energy in rural zones. However, it is challenging to
propose in advance a good design of the microgrid because the
electrical load is difficult to estimate due ...
Predictive model of cardiovascular diseases implementing artificial neural networks
(Springer VerlagGermany, 2023)
Structure of the leech nerve cord: Distribution of neurons and organization of fiber pathways
(1978)
The abdominal nerve cord of the leech Macrobdella decora was studied under the light and electron microscopes. The ganglionic cortex consists of six hemicone‐shaped packets of neuronal perikarya and apical processes regularly ...
Characterization and detection of taxpayers with false invoices using data mining techniques
(Elsevier, 2013)
In this paper we give evidence that it is possible to characterize and detect those potential users of false
invoices in a given year, depending on the information in their tax payment, their historical performance
and ...
Cross-entropy embedding of high-dimensional data using the neural gas model
(PERGAMON-ELSEVIER SCIENCE LTD, 2005-06)
A cross-entropy approach to mapping high-dimensional data into a low-dimensional space embedding is presented. The method allows to project simultaneously the input data and the codebook vectors, obtained with the Neural ...