Listar GI-RNASA - Artigos por título
Mostrando ítems 110-129 de 190
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Indexación de la revista TOC en bases de datos
(Colegio de Terapeutas Ocupacionales de Galicia, 2011) -
Indicators Framework for Sustainable Urban Design
(2020)[Abstract] Climate change and sustainability have recently been object of study due to the impact on the planet and on human activity of the first and the benefits that could derive from the efficiency of the second. ... -
Influence of disability on maternal care
(Springer, 2015)[Abstract] The purpose of the study was to examine how women with physical disabilities perceive the influence of their disability on maternal care during the first 3 years of their child’s life, to describe the main ... -
Influencia del contexto en la calidad de la entrevista clínica en fisioterapia
(Elsevier, 2001)[Resumen] La calidad es un tema que está de actualidad no sólo en su vertiente científico técnica, sino también en el aspecto de las relaciones humanas. Si bien es un asunto muy abordado en varias profesiones sanitarias, ... -
Investigación en terapia ocupacional: proceso de búsqueda de conocimiento
(Colegio de Terapeutas Ocupacionales de Galicia, 2011) -
Kernel-Based Feature Selection Techniques for Transport Proteins Based on Star Graph Topological Indices
(Bentham, 2013)[Abstract] The transport of the molecules inside cells is a very important topic, especially in Drug Metabolism. The experimental testing of the new proteins for the transporter molecular function is expensive and inefficient ... -
Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data
(NLM (Medline), 2021)[Abstract] In recent years, microbiota has become an increasingly relevant factor for the understanding and potential treatment of diseases. In this work, based on the data reported by the largest study of microbioma in ... -
Machine learning analysis of TCGA cancer data
(PeerJ Inc., 2021)[Abstract] In recent years, machine learning (ML) researchers have changed their focus towards biological problems that are difficult to analyse with standard approaches. Large initiatives such as The Cancer Genome Atlas ... -
Machine Learning Analysis of the Human Infant Gut Microbiome Identifies Influential Species in Type 1 Diabetes
(Elsevier, 2021)[Abstract] Diabetes is a disease that is closely linked to genetics and epigenetics, yet mechanisms for clarifying the onset and/or progression of the disease have sometimes not been fully managed. In recent years and due ... -
Machine Learning Based Microbiome Signature to Predict Inflammatory Bowel Disease Subtypes
(FRONTIERS MEDIA S.A., 2022)[Abstract] Inflammatory bowel disease (IBD) is a chronic disease with unknown pathophysiological mechanisms. There is evidence of the role of microorganims in this disease development. Thanks to the open access to multiple ... -
Machine learning classification models for fetal skeletal development performance prediction using maternal bone metabolic proteins in goats
(PeerJ, 2019-10)[Abstract]: Background In developing countries, maternal undernutrition is the major intrauterine environmental factor contributing to fetal development and adverse pregnancy outcomes. Maternal nutrition restriction ... -
Machine Learning in Management of Precautionary Closures Caused by Lipophilic Biotoxins
(Elsevier, 2022)[Abstract] Mussel farming is one of the most important aquaculture industries. The main risk to mussel farming is harmful algal blooms (HABs), which pose a risk to human consumption. In Galicia, the Spanish main producer ... -
Machine Learning Techniques for Single Nucleotide Polymorphism—Disease Classification Models in Schizophrenia
(Molecular Diversity Preservation International, 2010)[Abstract] Single nucleotide polymorphisms (SNPs) can be used as inputs in disease computational studies such as pattern searching and classification models. Schizophrenia is an example of a complex disease with an important ... -
Machine Learning-Based Radon Monitoring System
(MDPI, 2022)[Abstract] Radon (Rn) is a biological threat to cells due to its radioactivity. It is capable of penetrating the human body and damaging cellular DNA, causing mutations and interfering with cellular dynamics. Human exposure ... -
Mapping chemical structure-activity information of HAART-drug cocktails over complex networks of AIDS epidemiology and socioeconomic data of U.S. counties
(Elsevier, 2015-04-24)[Abstract] Using computational algorithms to design tailored drug cocktails for highly active antiretroviral therapy (HAART) on specific populations is a goal of major importance for both pharmaceutical industry and public ... -
Mapping networks of anti-HIV drug cocktails vs. AIDS epidemiology in the US counties
(Elsevier, 2014-08-20)[Abstract] The implementation of the highly active antiretroviral therapy (HAART) and the combination of anti-HIV drugs have resulted in longer survival and a better quality of life for the people infected with the virus. ... -
Markov Mean Properties for Cell Death-Related Protein Classification
(Elsevier, 2014-01-31)[Abstract] The cell death (CD) is a dynamic biological function involved in physiological and pathological processes. Due to the complexity of CD, there is a demand for fast theoretical methods that can help to find new ... -
MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products
(BMC, 2024-01-23)[Absctract]: The enantioselective Brønsted acid-catalyzed α-amidoalkylation reaction is a useful procedure is for the production of new drugs and natural products. In this context, Chiral Phosphoric Acid (CPA) catalysts ... -
Mechanical Hyperalgesia but Not Forward Shoulder Posture Is Associated with Shoulder Pain in Volleyball Players: A Cross-Sectional Study
(MDPI, 2022)[Abstract] Shoulder antepulsion, altered scapular kinematics and imbalance of muscle activity are commonly associated with shoulder pain. This study aimed to observe if there is an association between the forward shoulder ...