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Carbon Nanotubes’ Effect on Mitochondrial Oxygen Flux Dynamics: Polarography Experimental Study and Machine Learning Models using Star Graph Trace Invariants of Raman Spectra
(M D P I AG, 2017-11-11)
[Abstract] This study presents the impact of carbon nanotubes (CNTs) on mitochondrial oxygen mass flux (Jm) under three experimental conditions. New experimental results and a new methodology are reported for the first ...
Modeling complex metabolic reactions, ecological systems, and financial and legal networks with MIANN models based on Markov-Wiener node descriptors
(American Chemical Society, 2013-12-08)
[Abstract] The use of numerical parameters in Complex Network analysis is expanding to new fields of application. At a molecular level, we can use them to describe the molecular structure of chemical entities, protein ...
Perturbation-Theory Machine Learning (PTML) Multilabel Model of the ChEMBL Dataset of Preclinical Assays for Antisarcoma Compounds
(American Chemical Society, 2020-10-14)
[Abstract]
Sarcomas are a group of malignant neoplasms of connective tissue with a different etiology than carcinomas. The efforts to discover new drugs with antisarcoma activity have generated large datasets of multiple ...
Modeling of energy efficiency for residential buildings using artificial neuronal networks
(Hindawi, 2018-11-28)
[Abstract] Increasing the energy efficiency of buildings is a strategic objective in the European Union, and it is the main reason why numerous studies have been carried out to evaluate and reduce energy consumption in the ...
A Recommender System to Help Refining Clinical Research Studies
(IOS Press, 2021-05-01)
[Abstract]
The process of refining the research question in a medical study depends greatly on the current background of the investigated subject. The information found in prior works can directly impact several stages ...
Classical Music Prediction and Composition by Means of Variational Autoencoders
(MDPI AG, 2020-04-27)
[Abstract] This paper proposes a new model for music prediction based on Variational Autoencoders
(VAEs). In this work, VAEs are used in a novel way to address two different issues: music representation into the latent ...
Aprendizaje basado en ejemplos: desarrollo de aplicaciones empresariales con tecnologías .net
(Universidad Peruana de Ciencias Aplicadas, 2015-06)
[Resumen]
El framework J2EE ha sido el gran dominador, durante mucho tiempo, en el desarrollo de
aplicaciones empresariales. Esto hecho originó la aparición de un rico ecosistema de herramientas,
manuales, tutoriales, ...
Automatic Seizure Detection Based on Star Graph Topological Indices
(Elsevier, 2012-08-15)
[Abstract] The recognition of seizures is very important for the diagnosis of patients with epilepsy. The seizure is a process of rhythmic discharge in brain and occurs rarely and unpredictably. This behavior generates a ...
Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes
(Science and Technology Publications, 2020)
[Abstract] Hospitalised patients suffering from secondary illnesses that require daily medication typically need personalised treatment. Although clinical guidelines were designed considering those circumstances, existing ...
First Multiplatform Application for Pharmacies in Spain, Which Guides the Prescription of Probiotics According to Pathology
(MDPI, 2021-02-09)
[Abstract]
The study of the intestinal microbiota is one of the biggest challenges in the current clinical environment. In this context, probiotics have been a focus of interest to achieve the stability of the intestinal ...