Listar GI-RNASA - Artigos por título
Mostrando ítems 90-109 de 193
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Exploring Patterns of Epigenetic Information With Data Mining Techniques
(Bentham, 2013-02-01)[Abstract] Data mining, a part of the Knowledge Discovery in Databases process (KDD), is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database ... -
Exploring the psychosocial impact of wheelchair and contextual factors on quality of life of people with neuromuscular disorders
(Taylor & Francis, 2015-07-17)[Abstract] Neuromuscular disorders (NMDs) are a group of heterogeneous diseases that show differences in incidence, hereditary, etiology, prognosis, or functional impairments. Wheelchair use (manual or powered) is influenced ... -
Field measurements of angular motions of a vessel at berth: Inertial device application
(Romanian Soc Control Tech Informatics, 2018)[Abstract]: The study and characterization of the oscillations of a moored vessel has a major importance in port operational efficiency, not only in the design of mooring and anchoring systems, but also in order to prevent ... -
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 ... -
Fisioterapia en los pacientes quemados: quemaduras,tratamiento fisioterápico y aspectos relacionados
(Elsevier, 2004-12)[Resumen] Este artículo tiene como objetivos, analizar las causas principales de las grandes quemaduras, de los pacientes ingresados en el Instituto del Quemado de Córdoba-Argentina, en el periodo de tiempo comprendido ... -
Framework of fully integrated hybrid systems
(Springer U K, 2012-02)A framework of fully integrated hybrid systems (HSs) is proposed for the development and management of HS which involve databases, advanced user interfaces, symbolic systems, and artificial neural networks. This framework ... -
Gamification in education: State of the art
(Universidade do Minho, 2020)[Resumen] Este artículo es un viaje a través de los avances y ventajas de la gamificación en educación, basado en la investigación y los estudios científicos identificados como los más relevantes. Se centra en recopilar ... -
Gastrointestinal Spatiotemporal mRNA Expression of Ghrelin vs Growth Hormone Receptor and New Growth Yield Machine Learning Model Based on Perturbation Theory
(Nature, 2016-07-27)[Abstract] The management of ruminant growth yield has economic importance. The current work presents a study of the spatiotemporal dynamic expression of Ghrelin and GHR at mRNA levels throughout the gastrointestinal tract ... -
Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis
(M D P I AG, 2020-02-05)[Abstract] Osteosarcoma is the most common subtype of primary bone cancer, affecting mostly adolescents. In recent years, several studies have focused on elucidating the molecular mechanisms of this sarcoma; however, its ... -
Gene prioritization, communality analysis, networking and metabolic integrated pathway to better understand breast cancer pathogenesis
(Nature, 2018-11-12)[Abstract] Consensus strategy was proved to be highly efficient in the recognition of gene-disease association. Therefore, the main objective of this study was to apply theoretical approaches to explore genes and communities ... -
General machine learning model, review, and experimental-theoretic study of magnolol activity in enterotoxigenic induced oxidative stress
(Bentham Science, 2017)[Abstract] This study evaluated the antioxidative effects of magnolol based on the mouse model induced by Enterotoxigenic Escherichia coli (E. coli, ETEC). All experimental mice were equally treated with ETEC suspensions ... -
Graph-based processing of macromolecular information
(Bentham Science, 2015)[Abstract] The complex information encoded into the element connectivity of a system gives rise to the possibility of graphical processing of divisible systems by using the Graph theory. An application in this sense is the ... -
Hanneke van Bruggen, medalla de oro de terapia ocupacional 2012: una mirada caleidoscópica
(Asociación Profesional Gallega de Terapia Ocupacional, 2012)[Resumen] El espíritu pionero, su energía contagiosa y el compromiso, son un ejemplo para todos los terapeutas ocupacionales del mundo y también una referencia para nuestra profesión. Por esta ... -
He–, Ne–, and Ar–phosgene intermolecular potential energy surfaces
(ACS Publications, 2013-04-12)[Abstract] Using the CCSD(T) model, we evaluated the intermolecular potential energy surfaces of the He–, Ne–, and Ar–phosgene complexes. We considered a representative number of intermolecular geometries for which we ... -
Hybrid machine learning techniques in the management of harmful algal blooms impact
(Elsevier, 2023)[Abstract]: Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption. Mollusc farming can be affected by HABs because, as filter feeders, they can accumulate ... -
Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection Within Fruit Juice Classification
(Hindawi, 2013-10-21)[Abstract] Given the background of the use of Neural Networks in problems of apple juice classification, this paper aim at implementing a newly developed method in the field of machine learning: the Support Vector Machines ... -
Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques
(PeerJ, Ltd., 2020-07-27)[Abstract] Food consumption patterns have undergone changes that in recent years have resulted in serious health problems. Studies based on the evaluation of the nutritional status have determined that the adoption of a ... -
IFPTML Mapping of Drug Graphs with Protein and Chromosome Structural Networks vs. Pre-Clinical Assay Information for Discovery of Antimalarial Compounds
(MDPI, 2021)[Abstract] The parasite species of genus Plasmodium causes Malaria, which remains a major global health problem due to parasite resistance to available Antimalarial drugs and increasing treatment costs. Consequently, ... -
Image sequence sorting algorithm for commercial tasks
(Frontiers Media, 2024-04)[Abstract]: Introduction: The sorting of sequences of images is crucial for augmenting user engagement in various virtual commercial platforms, particularly within the real estate sector. A coherent sequence of images ... -
Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning
(MDPI, 2019)[Abstract] In this work, we improved a previous model used for the prediction of proteomes as new B-cell epitopes in vaccine design. The predicted epitope activity of a queried peptide is based on its sequence, a known ...