5,501 results on '"Curbelo IF"'
Search Results
52. Stilbene Identification and Quantitation by High-Performance Liquid Chromatography Coupled with Mass Spectrometry (HPLC-MS)
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Boido, Eduardo, Curbelo, Romina, Rodríguez, Luisina, Davyt, Danilo, Dellacassa, Eduardo, Fariña, Laura, Sant'Ana, Anderson S., Series Editor, and Machado de Castilhos, Maurício Bonatto, editor
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- 2023
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53. Imidazolate framework material for crude oil removal in aqueus media: Mechanism insight
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Estrela Filho, Otoniel Anacleto, Rivadeneira-Mendoza, Bryan Fernando, Fernández-Andrade, Kevin Jhon, Zambrano-Intriago, Luis Angel, Fred da Silva, Fausthon, Luque, Rafael, Curbelo, Fabiola DS., and Rodríguez-Díaz, Joan Manuel
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- 2024
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54. Gamma-ray sources imaging and test-beam results with MACACO III Compton camera
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Barrientos, L., Borja-Lloret, M., Casaña, J.V., Dendooven, P., García López, J., Hueso-González, F., Jiménez-Ramos, M.C., Pérez-Curbelo, J., Ros, A., Roser, J., Senra, C., Viegas, R., and Llosá, G.
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- 2024
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55. Online coloring of short interval graphs and two-count interval graphs.
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Israel R. Curbelo
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- 2024
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56. On the on-line coloring of proper interval graphs.
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Israel R. Curbelo and Hannah R. Malko
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- 2024
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57. Análisis del empleo de diferentes materias primas azucaradas en la producción de fructo-oligosacáridos
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Odalys Capote-Peña, Enrique R. Pérez-Cruz, Raúl Sabadí-Díaz, Juana M. Chanfón-Curbelo, Dunieski Martínez-García, and Alina Sobrino-Legón
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fructo-oligosacáridos ,materias primas azucaradas ,rendimiento ,color ,Food processing and manufacture ,TP368-456 - Abstract
La tecnología para la producción de fructo-oligosacáridos con la enzima 1–SST y azúcar refino como sustrato ha sido estudiada en Cuba y están definidos los parámetros de operación para alcanzar rendimientos de 55 %. La industria azucarera dispone de corrientes del proceso ricas en contenido de sacarosa, como son la meladura, las mieles, el azúcar crudo, así como el licor de refinería, que pudieran también emplearse para la producción de los fructo-oligosacáridos. En el presente trabajo se estudia el comportamiento de la reacción de síntesis de los fructo-oligosacáridos, a partir de azúcar crudo y licor decolorado, bajo los mismos pará- metros de operación ya definidos para la tecnología a partir de azúcar refino y se demuestra que se puede producir FOS con los mismos rendimientos (55 %) y similares niveles de kestosa. Se analiza la variación en color de cada jarabe obtenido.
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- 2023
58. Improved lower bound on the on-line chain partitioning of semi-orders with representation
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Biró, Csaba and Curbelo, Israel R.
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- 2023
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59. Author Correction: Senolytic CAR T cells reverse senescence-associated pathologies
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Amor, Corina, Feucht, Judith, Leibold, Josef, Ho, Yu-Jui, Zhu, Changyu, Alonso-Curbelo, Direna, Mansilla-Soto, Jorge, Boyer, Jacob A., Li, Xiang, Giavridis, Theodoros, Kulick, Amanda, Houlihan, Shauna, Peerschke, Ellinor, Friedman, Scott L., Ponomarev, Vladimir, Piersigilli, Alessandra, Sadelain, Michel, and Lowe, Scott W.
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- 2024
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60. Use of Wing Geometric Morphometric Analysis and mtDNA to Identify Africanization of Apis mellifera in the Central Highlands of Ecuador
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Diego Masaquiza, Lino Curbelo Rodríguez, José Zapata, Joffre Monar, Maritza Vaca, Leonardo Porrini, Martin Eguaras, Martin Daniele, Dora Romero, and Amilcar Arenal
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Apis mellifera scutellate ,Africanization ,altitudinal floors ,morphotypes ,haplotype ,Science - Abstract
Seventy-five samples were collected from 15 beehives in the central highlands of Ecuador (Tungurahua–Chimborazo) to assess Africanization in managed bee populations using wing geometric morphometric and mitochondrial DNA analyses. The results indicated that when grouping the apiaries based on altitudinal floors into 2600–2800, 2801–3000, and 3001–3274 m above sea level, differences (p < 0.001) were observed. The morphotypes were similar in the first two floors, but the third indicated that altitude plays a crucial role in the differentiation of populations. When comparing with the pure subspecies, we found differences (p < 0.001); the nearest Mahalanobis distance was for Apis mellifera scutellata (D2 = 3.51), with 95.8% Africanization via father in the area. The maternal origin of all patterns belonged to lineage A (A. m. scutellata), with seven haplotypes. The most frequent haplotypes were A26 and A1; however, the A1q haplotype was not detected at the national level or in nearby countries. The identified haplotypes do not coincide with A4, which is predominant in South Africa and Brazil. The results indicate a double origin due to their presence in North Africa and the Iberian Peninsula. The formation of specific morphological groups within ecoregions is suggested.
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- 2024
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61. A Comparative Genetic Analysis of Phoenix atlantica in Cape Verde
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Sonia Sarmiento Cabello, Priscila Rodríguez-Rodríguez, Guacimara Arbelo Ramírez, Agustín Naranjo-Cigala, Leticia Curbelo, Maria de Monte da Graca Gomes, Juliana Brito, Frédérique Aberlenc, Salwa Zehdi-Azouzi, and Pedro A. Sosa
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Araceae ,plant conservation ,conservation genetics ,population genetics ,microsatellites ,minisatellites ,Botany ,QK1-989 - Abstract
The Cape Verde palm tree, Phoenix atlantica, holds significant ecological and cultural importance within the Cape Verde archipelago. However, its genetic distinctiveness has been questioned due to its close relationship and morphological similarity to the date palm (Phoenix dactylifera). In this study, we used an expanded sample set, 18 simple sequence repeat (SSR) markers, and a plastid minisatellite to characterize P. atlantica in Cape Verde and investigate its relationship with other Phoenix species. Our findings identify genetic markers that differentiate the P. atlantica genetic pool, including a unique fixed allele. We also provide evidence of the recent divergence of P. atlantica from Northern African date palm populations, suggesting a relatively recent colonization of Cape Verde by palm trees. Additionally, we characterized the genetic composition of palm tree populations across three Cape Verde islands, concluding that wild samples from certain populations in Boavista and Sal are best suited for establishing a seed and/or germplasm bank for replantation efforts, representing a crucial step for the conservation of Cape Verde’s natural heritage. Overall, our results enhance the understanding of the historical trajectories and genetic characterization of palm trees in Africa, offering valuable insights for conservation strategies.
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- 2024
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62. The Genetic Characterization of the Canarian Endemic Palm (Phoenix canariensis) by Simple Sequence Repeats and Chloroplast Markers: A Tool for the Molecular Traceability of Phoenix Hybridization
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Isabel Saro, Priscila Rodríguez-Rodríguez, Diego Rivera, Concepción Obón, Fredérique Aberlenc, Antonio Díaz-Pérez, Salwa Zehdi-Azouzi, Leticia Curbelo, and Pedro A. Sosa
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Canary Islands ,chloroplast minisatellite ,conservation genetics ,genetic introgression ,nuclear microsatellites ,Phoenix hybrids ,Biology (General) ,QH301-705.5 - Abstract
The endemic palm from the Canary Islands, Phoenix canariensis, is one of the most distinctive elements of the Canarian vegetation landscape, contributing to cultural, economic and environmental aspects. One of the main conservation problems facing this iconic palm is anthropogenic hybridization with other Phoenix species, particularly Phoenix dactylifera, which has been introduced extensively throughout its geographical range. Therefore, it is important to obtain a genetic tool that addresses different issues that may have an impact on the protection of P. canariensis, including ornamental applications and wild population conservation purposes. Our main goals were to detect a molecular tracer that could reliably distinguish between Phoenix canariensis and P. dactylifera in the Canary archipelago and to characterize the presence and extent of genetic hybridization events between the two species. We used 19 nuclear microsatellites and 1 chloroplast minisatellite set and analysed a large sample size (N = 433) of plants using both Bayesian methods and ordination techniques. Our data showed that a set of 13 nuclear markers revealed diagnostic alleles for P. canariensis, which were defined as the Canarian nuclear genotype (CNG). Moreover, P. canariensis exhibited an exclusive chlorotype of 266 bp that together with the GNC serve as an indicator of genetic purity in the Canarian palm. These markers are sufficient to detect any hybrid, even if it is not related to morphological differences. The occurrence of a considerable number of specimens with different degrees of hybridization is discussed in terms of the existence of different generations of hybrids and different types of crosses. Thus, the genetic tracers represent an invaluable tool to address any proposal for the genetic conservation of Phoenix canariensis.
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- 2024
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63. Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs
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Montañez, Casimiro Adays Curbelo, Fergus, Paul, Montañez, Almudena Curbelo, and Chalmers, Carl
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Computer Science - Computers and Society ,Computer Science - Computational Engineering, Finance, and Science ,Computer Science - Machine Learning ,Quantitative Biology - Genomics - Abstract
In this paper, association results from genome-wide association studies (GWAS) are combined with a deep learning framework to test the predictive capacity of statistically significant single nucleotide polymorphism (SNPs) associated with obesity phenotype. Our approach demonstrates the potential of deep learning as a powerful framework for GWAS analysis that can capture information about SNPs and the important interactions between them. Basic statistical methods and techniques for the analysis of genetic SNP data from population-based genome-wide studies have been considered. Statistical association testing between individual SNPs and obesity was conducted under an additive model using logistic regression. Four subsets of loci after quality-control (QC) and association analysis were selected: P-values lower than 1x10-5 (5 SNPs), 1x10-4 (32 SNPs), 1x10-3 (248 SNPs) and 1x10-2 (2465 SNPs). A deep learning classifier is initialised using these sets of SNPs and fine-tuned to classify obese and non-obese observations. Using a deep learning classifier model and genetic variants with P-value < 1x10-2 (2465 SNPs) it was possible to obtain results (SE=0.9604, SP=0.9712, Gini=0.9817, LogLoss=0.1150, AUC=0.9908 and MSE=0.0300). As the P-value increased, an evident deterioration in performance was observed. Results demonstrate that single SNP analysis fails to capture the cumulative effect of less significant variants and their overall contribution to the outcome in disease prediction, which is captured using a deep learning framework., Comment: 8 pages, 2 figures, 4 tables, 9 equations, conference
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- 2018
64. Producción de leche en Ecuador, su proyección a partir de escenarios con énfasis en la cuenca baja del Guayas
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Gabriela Electra Medina Pinoargote, Jorge Jesús Pereda Mouso, and Lino Miguel Curbelo Rodríguez
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cuenca baja ,escenarios ,ganadería vacuna ,Animal culture ,SF1-1100 - Abstract
Antecedentes: La producción de leche vacuna en Ecuador se diferencia por regiones; en la Costa y de forma particular la cuenca baja del Guayas, tiende a decrecer, determinado por factores socioeconómicos y ecológicos, sin embargo, constituye una prioridad para el consumo familiar y local, con demanda del producto y sus derivados, representa ingresos diarios, asegura el pago de jornales al productor y genera diversificación en los sistemas de producción. Objetivo. Valorar la producción de leche en Ecuador y su proyección a partir de escenarios con énfasis en la cuenca baja del Guayas. Desarrollo: Se realizó una revisión bibliográfica para examinar la evidencia disponible sobre la producción de leche vacuna en Ecuador. Se constató un crecimiento, no obstante, la heterogeneidad de condiciones socioeconómicas y ecológicas existentes, determinaron respuestas productivas diferentes. Respecto a la cuenca baja del Guayas, reportaron los rendimientos más bajos, condicionados por factores climáticos y las características de los sistemas de producción, que determinan la búsqueda de alternativas que garanticen su sostenibilidad. Conclusiones: La producción de leche se diferenció por regiones, los mayores rendimientos se encontraron en la Sierra, seguido por la Amazonía y por último en la Costa, donde prevalecen los pastos naturales, existen desbalances estacionales y se prioriza la actividad agrícola. En correspondencia con lo planteado, la construcción de escenarios prospectivos constituye una alternativa para la toma de decisión en la relación a la sostenibilidad de la producción de leche en la región.
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- 2024
65. ANTENA DE MICROCINTA FRACTAL PARA APLICACIONES RFID EN 2.4GHZ CON SUBSTRATO SUSPENDIDO
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Taimir Alain Morales Roche, Drichel Angel Arango Curbelo, and Maria del Carmen Guerra Martinez
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Telecommunication ,TK5101-6720 - Abstract
El presente trabajo propone el diseño y simulación de una antena fractal alfombra de Sierpinski que opera en la banda de 2.4GHz para su empleo en aplicaciones de tecnología de identificación por radiofrecuencia o RFID (Radio Frequency Identificacion) por sus siglas en inglés. Se emplea una línea de microcinta para la alimentación y una separación de 7mm entre el substrato y el plano de tierra para lograr una buena distribución del Campo Electromagnético (CEM) y como consecuencia una mejor ganancia. El diseño es optimizado ajustando adecuadamente el largo y ancho, se alcanza una ganancia de 8.69dBi y un ancho de banda de 250MHz para la frecuencia deseada y una eficiencia de aproximadamente 82%.
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- 2024
66. MODIFICACIÓN DEL PROCESO DE ELABORACIÓN DE CARNE CURADA TIPO TASAJO
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Lucila Baulet Cintra and Caridad Curbelo Hernández
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carne curada ,envasado ,exudado ,horneado ,rendimiento ,Special industries and trades ,HD9000-9999 - Abstract
Introducción: En la Unidad Empresarial de Base (UEB) La Española I se elabora carne curada tipo tasajo. En la etapa de almacenamiento refrigerado del producto final se observa presencia de exudado en las mantas selladas al vacío. Para su disminución se propone incorporar la operación de horneado en el proceso. Objetivo: Incorporar el horneado como operación para disminuir la cantidad de exudado presente en el producto final una vez sellado al vacío. Materiales y Métodos: Se analizaron dos variantes experimentales, una de ellas, la tradicional, donde después del proceso de cura seca se pasa al envasado al vacío y en la otra se introduce el horneado antes del envasado final. Se realizó la caracterización del producto final desde el punto de vista físico, químico, microbiológico y sensorial. Se realizaron distintas mediciones antes y después del proceso de horneado; así como en la masa de exudado presente en el producto envasado. Resultados y Discusión: El proceso de horneado disminuye el rendimiento del producto y por ende se incrementan los índices de consumo de las materias primas, lo cual influye en el costo de producción. El producto obtenido en cada variante cumple con los parámetros normados. El proceso de horneado logró disminuir la cantidad de exudado presente en el producto final. Conclusiones: Las dos variantes estudiadas logran disminuir la cantidad de exudado presente en la carne curada tipo tasajo después de envasada al vacío. El proceso de horneado incrementa el costo de producción y disminuye el rendimiento del producto.
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- 2023
67. Nivel de conocimientos sobre salud bucal en población geriátrica de la Casa de Abuelos Leonor Pérez de Bejucal
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Iselys Rodríguez Curbelo, Leinen de la Caridad Cartaya Benítez, and Rolando Mirot Delgado
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adulto mayor ,envejecimiento ,conocimiento ,enfermedades de la boca ,Medicine (General) ,R5-920 - Abstract
Introducción: la población geriátrica es un grupo priorizado en el modelo de Atención Estomatológica Integral, por lo que es importante conocer la prevalencia de enfermedades bucales y los factores de riesgo a los que están sometidos. Objetivo: evaluar el nivel de conocimiento de la población geriátrica sobre salud bucal en la Casa de Abuelos Leonor Pérez de Bejucal, provincia Mayabeque durante el período de noviembre del 2021 a abril del 2022. Métodos: se realizó un estudio descriptivo y transversal cuyo universo quedó constituido por 48 personas de 60 años y más, de ambos sexos, coincidiendo con el total de la matrícula del centro, no requiriendo diseño muestral. Para el análisis estadístico se procesó la información recogida, utilizando el porcentaje como medida de resumen, mostrándose los resultados a través de tablas estadísticas. Resultados: de los 48 pacientes estudiados el 54,2 % perteneció al grupo de 60-69 años de edad, el 56,3 % fueron del sexo femenino, el 81,26 % identificó a la caries dental como la principal enfermedad bucal, el 70,83 % desconoce el efecto negativo de la ingestión de alimentos condimentados y calientes, y el 85,42 % desconocen sobre la frecuencia del autoexamen bucal. Conclusiones: los conocimientos sobre salud bucal fueron evaluados de mal, prevaleciendo el sexo femenino y el grupo de edad de 60-69 años; predominó el desconocimiento sobre las principales enfermedades bucales, la ingestión de alimentos condimentados y calientes como hábitos nocivos para la salud bucal, así como los pasos, la frecuencia y la realización del autoexamen bucal.
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- 2023
68. Postoperative Critical Care Admission Was Not Associated with Improved Postoperative Outcomes in Elective Colorectal Surgery: Secondary Analysis Of POWER Trial
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Suárez-de-la-Rica, Alejandro, Ripollés-Melchor, Javier, Aldecoa, César, Abad-Motos, Ane, Ferrando, Carlos, Abad-Gurumeta, Alfredo, Díaz-Almirón, Mariana, Gil-Lapetra, Cristina, García-Miguel, Francisco Javier, Pedregosa-Sanz, Ana, Esteve-Pérez, Neus, Rodríguez-Jiménez, Rita, Gimeno Fernandez, Pablo, Maseda, Emilio, Garcia-Perez, Cristina, Higuera-Míguelez, Eva, Marcos-Vidal, José M., Merino-García, María, Rubio-López, Ana B., Pascual-Diez, María E., García-Miguel, Francisco J., Cabezudo-Sanjose, Luis R., Martínez-Díaz, Ruth, Alegría-Rebollo, Sara, González-Rodríguez, José L., Vega-Cruz, María S., Martínez-Ragüés, Gema, Gómez-Ríos, Manuel A., Mosquera-Rodríguez, Eva, Del-Río-Regueira, Sara, Perez-Valdivieso, José R., Martin-Vizcaino, Marta, Hernandez-Garcia, Susana, Yoldi-Murillo, Francisco J., Salvador-Bravo, Miguel, Rubial-Alvarez, Manuela, Oteiza-Martinez, Fabiola, Balen-Rivera, Enrique, Garcia-Erce, José A., Zugasti-Murillo, Ana, Petrina-Jáuregui, María E., Bustos-García, Domingo, Sánchez-Conde, María P., Rodríguez-Calvo, Antonio, Hernández-Valero, María A., Angoso-Clavijo, María, González-Fernández, Luis M., Bravo-Riaño, Miguel A., Arnes-Muñoz, María V., Bustos-Molina, Filadelfo, Paz-Martín, Daniel, Vázquez-Vicente, Bárbara, González-López, Lourdes, Mínguez-Marín, Conrado, Diz-Jueguen, Susana, Seoane-Antelo, Jaime, Ballinas-Miranda, Julio, Carrera-Dacosta, Ester, Barreiro-Domínguez, Erica, Piñeiro-Teijeiro, Alexandra, Sanchez-Santos, Raquel, Varela-Duran, Marina, Diaz-Parada, Pilar, Calero-Lillo, Aránzazu, López-Lara, Manuel Ángel, Muñoz-Collado, Salvador, Valverde-Sintas, Juan, Aznar-Puig, Silvia, Troyano-Escribano, Daniel, Marmaña-Mezquita, Sandra, Fernanz-Antón, Jesús, Catot-Alemany, Lucia, Balust, Jaume, Ubré, Marta, Ferrando-Ortolá, Carlos, Martínez-Pallí, Graciela, Ibarzabal, Ainitze, Lacy, Antonio M., Sánchez-Martín, Rubén, Martins-Cruz, Karina, Pérez-Jiménez, Paula, Casans-Francés, Rubén, Longás, Javier, Ramírez Rodríguez, José M., Elia, Manuela, Mugarra-Llopis, Ana, Crisan, Cristina, Gracia-Ferrándiz, Estefanía, Romero-Vargas, Esther, Soro-Domingo, Marina, Prada-Martin, Blanca, Muñoz-Hernández, Henar, Gómez Herreras, José I., Cocho-Crespo, Sara, Fernández-Caballero, Sandra, Flores-Crespo, Miguel, Vázquez-Fernández, Andrea, Brugiotti, Carlo, Ollé-Sese, Estefanía, Houghton-Acuña, Carla R., López-Doucil, Marta, Tarazona-López, Ernesto A., Bel-Marcobal, Iván, González-Cogollor, Sonia, Llácer-Pérez, Manuel, Arias-Romano, Alberto, Arrabal-Taborda, María C., Caballero-Domínguez, Mercedes, García-López, Rafael, Ontoria-Muriel, Julio, Vivó-Blasco, Antonio, Del-Cojo-Peces, Enrique, Tena-Guerrero, Jose M., Alcalde Matas, Fernando, Giordano, Hernán, Perez Peña, Jose M, Olmedilla-Arnal, Luis, Benito-Saz, Pilar, López-Gil, Elena, Ruiz-Ortega, Adela, Zapatero-García, Sara, Del-Valle-García, Emilio, Soria-Aledo, Víctor, Pérez-Guarinos, Carmen V., Pellicer-Franco, Enrique, Valero-Navarro, Graciela, Mengual-Ballester, Mónica, García-Marín, José Andrés, Romero-Simó, Manuel, Caravaca-García, Ibán, Blasco-Segura, Teresa, Campo-Betancourth, Carlos F., Costa-Navarro, Rafael David, Jordá-Sanz, Laura, De-Miguel-Cabrera, María I., España-Pamplona, José M., Gil-Trujillo, Silvia, Redondo-Calvo, Francisco J., Baladrón-Gónzalez, Víctor, Moreno-Ballesteros, Remedios, Muñoz-Rodes, José L., Miranda, Elena, Roselló-Chornet, Marta, Alós-Zaragoza, Lourdes, Catalá-Bauset, Juan, Pallardo-López, María A., Almenara-Almenara, Noemí, Muñoz-Devesa, Lorena, Gimeno-Fernández, Pablo, Gómez-Agraz, José L., Iglesias-Morales, Carla, Ordoñez-Enireb, Paola B., Ríos-Villalba, Ana M., Rodríguez-Pinto, Joselvy, Sánchez-Cortés, Sergio, Montoya-Tabares, María J., Ruiz, Vicente, González-Sánchez, Francisco, Soriano-Giménez, Víctor, Muñoz-Camarena, José M., Benavides-Buleje, Jorge, Estupiñán-Jiménez, Juan C., Portero-Larragueta, Irene, Alias, David, Maristany-Bienert, Carlos, Pardo-López, José A., Ramiro-Ruiz, Álvaro, García, Pablo, Martínez-De-Guereñu, Arantza, Montalbán, Belinda, Olea, Claudia, Benguría, David, Silva, Javier, Calderón, Adriana, Escoll-Rufino, Jordi, Cerdan-Santacruz, Carlos, Sierra-Grañón, José E., Rufas-Acín, María, Mestres-Petit, Nuria, Penagos-Saavedra, Ingrid C., Moreno-Castilla, Cristina, Riera-Riu, Jordi, Cuellar-Martínez, Ana, González-Álvarez, R.C., Sánchez-Merchante, Míriam, García-Del-Valle-Y-Manzano, Santiago, García-Zamorano, Sara, Gijón-Herreros, Natalia, Robles-Ángel, Patricia, Roca-Castillo, Enrique, Mariscal-Flores, María L., Morales-Cayuela, Mario, Alonso-Ramos, Irene, Jiménez-Carneros, Virginia, Casalduero-Garcia, Lucas, Jimenez-Miramón, Javier, Ramos-Rodríguez, José L., Aracil-Escoda, Norma, Martínez-Hurtado, Eugenio, Nozal-Mateo, Beatriz, Sáez-Ruiz, Elena, Salvachua-Fernández, Rut, De-Fuenmayor-Valera, María L., Sánchez, Elena, Toribio, Begoña, Navarro-Sánchez, Antonio, López-Fernández, José, Montesdeoca Cabrera, Dácil, Alcalá-Serrano, Francisco J., Alberola-Estellés, María J., Díaz-Cambronero, Óscar, Matoses-Jaén, María S., Ruiz-Boluda, María D., Sancho-de-Ávila, Azahara, Díaz-Carrasco, Sofía, Martín-Martín, Almudena, Uña-Orejón, Rafael, Tejón-Pérez, Guillermo, Alfaro-Martínez, María V., Alonso-Fernández, Marta, Álvarez-Cebrián, María A., Álvarez-Del-Vayo-Rodríguez, María J., Carrillo-Rivas, Mariana, Fernández-Rodríguez, María, Trabanco-Morán, Sonia, Rábago-Morán, José L., Martínez-Ubieto, Javier, Pascual-Bellosta, Ana M., Ortega-Lucea, Sonia M., Santero-Ramirez, Maria P., Duque-Mallen, Maria V., Aragon-Benedi, Cristian, Vallejo-Tarrat, Andrea, Colillas-Calvet, Carmen, Laso, Maria J., Martinez-Cabañero, Javier, Hernández-Salván, Javier, Ledesma-Muñoz, Beatriz, Ochoa-Osorio, Carolina, Sanz-García, Máximo, Herrero-Garrote, Begoña, Blázquez-Martin, Alma, Díez-Alonso, Manuel, Hernández-Juara, Pilar, Muguerza-Huguet, José M., Barbero-Mielgo, Macarena, San-Antonio-San-Román, Belén, Alonso-Aguilar, Laura, Molnar, Viktoria, Delgado-Naviero, María C., Meléndez-Leal, Encarnación, Cavero-García, Virginia, Fernández-Sánchez, África, Cubek-Quevedo, Daniela A., Munar, Rocío Díez, Blázquez-Fernández-De-La Pradilla, Francisco J., Serrano, A.B., Balvís, A., Berruezo, A., Esparza, E., De la Hoz, I., Palavicini, A., Pereira, L., Vega, X., Villahoz, J., Villanueva, G., Alonso-Fernández, José I., Bolaño-Pérez, Clara, Villán-González, Teresa, Batalla, Astrid, Azparren, G., Basttita, M., Felipe, M., Cueva, L., Gine, Marta, Gómez-Caro, A.M., India, I., Piñol, S., Mora-Fernández, Carlos, Ferrer-Robles, Ana, Segura–Sampedro, Juan J., Alonso-Hernández, Natalia, Camps-Cervantes, Ángels, Chocrón-Da-Prat, Ivette, Coronado-Silva, Carolina C., Duque-Santos, Héctor, Esclapez-Sempere, Elena, Galan-Menéndez, Patricia, Matarín-Olmo, Silvia, Tormos-Pérez, M.P., Villarino-Villa, Laura, Bergés-Gutiérrez, Héctor, Aisa-Gasca, Miguel, Arbona-Camillero, Verónica, Bautista-González, José D., Carballido-Pascual, Francisco J., Gutiérrez-Moreno, Mercedes, Muñoz-Durán, Ana, Cañete-Gómez, Jesús, Cáceres-Fabrega, Esther, Lorente-Herce, José M., Mulet-Zayas, Octavio, Gómez-Pérez, Rocío, Monje-Salazar, Cristina, Lobato-Bancalero, Luis, Torres-Moreno, Carmelo, Sanchez-Cárdenas, Elena, Daza-González, Juan J., Sanchez-Viguera, Teresa, Dal-Fresno-Asensio, Antonio, Bermudez-Román, Laura, Sanllorente-Sebastian, Rodrigo, Villalain-Perez, Maria C., Siclama-Stroe, Mihaela, Benítez-Villar, Judith, Sánchez-Campos, Alberto, Martínez-Ruiz, Alberto, Alonso-Carnicero, Patricia, De-La-Torre-González, Francisco J., Naranjo-Checa, Carolina, Pereira-Pérez, Fernando, Ruiz-Ucar, Elena, Rivera, Alfredo, Nogués-Ramia, Eva M., Sosa-Quesada, Yolanda, Gómez, Alonso, Martínez-Meco-Ortiz, Laura M., Cabellos-Olivares, Mercedes, Rodríguez-Fraile, José R., Labalde-Martínez, María, Nacarino-Alcorta, Beatriz, Fernández-García, Raquel, De-La-Quintana-Gordon, Borja, Drewniak, Justyna, Senra-Lorenzana, Fátima, Galindo-Jara, Pablo, Gallardo-Herrera, Ana B., García-Llorente, Cesar, Colao-García, Laura, Rellán-Álvarez, Luz-Divina, Miro-Murillo, Miguel, Flores-Risco, Sahely-Claret, Serrat-Puyol, Jordi, Medina-Gallardo, Adrian, Mitsahid-Curbelo-Peña, Yuhami, Logroño-Ejea, Margarita, Jover-Pinillos, José L., Orts-Micó, Francisco J., Cózar-Lozano, Coral, Blasco-Delgado, Olga, Nonnemacher-San-Julián, Andrea, Pérez, José A., Durán Cruces, Durán, Blanco, Francisco J., Landaluce-Olavarria, Aitor, Badiola, Izaskun, Calvo, Marta, De-Andres, Unai, Portugal-Porras, Vicente, Ugarte-Sierra, Bakarne, Perelló-Cerdà, Laura, Rodríguez-Téllez, Yobanys, Grössl-Meleán, Joanna, Viñas-Truñén, Xavier, Alday-Muñoz, Enrique, Bermejo-Marcos, Elena, Alonso-Casado, Pedro A., Gimeno-Calvo, Francisco A., Rodriguez-Sánchez, Ana, Montes-López, Carmen, Álvarez-Llano, Laura, Fas-Vicent, María J., Ortega-Monzó, Juan M., Flores-Flores, Gustavo, Tristancho, José L., Bayo-Sans, Montserrat, Deiros-Garcia, María C., Gil-Gómez, María L., Parra, Lourdes, Tejedor-De-La-Fuente, Vanesa, Jericó-Alba, Carlos, Borrell Brau, Núria, Camacho-Martín, David, Ortiz-De-Zarate, Jose L., López-Ruiz, Daniel, Rodriguez-Bustamante, Vicens, Martinez-Vilalta, M., Amoros-Ruiz, Daniel, Sadurni-Sarda, Marc, and Renedo-Corcóstegui, Pablo
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- 2023
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69. A High Sensitivity Fourier Transform Spectrometer for Cosmic Microwave Background Observations
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De Miguel-Hernández, Javier, Hoyland, Roger J., Reñasco, María F. Gómez, Rubiño-Martín, J. Alberto, and Viera-Curbelo, Teodora A.
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
The QUIJOTE Experiment was developed to study the polarization in the Cosmic Microwave Background (CMB) over the frequency range of 10-50 GHz. Its first instrument, the Multi Frequency Instrument (MFI), measures in the range 10-20 GHz which coincides with one of the naturally transparent windows in the atmosphere. The Tenerife Microwave Spectrometer (TMS) has been designed to investigate the spectrum between 10-20 GHz in more detail. The MFI bands are 2 GHz wide whereas the TMS bands will be 250 MHz wide covering the complete 10-20 GHz range with one receiver chain and Fourier spectral filter bank. It is expected that the relative calibration between frequency bands will be better known than the MFI channels and that the higher resolution will provide essential information on narrow band interference and features such as ozone. The TMS will study the atmospheric spectra as well as provide key information on the viability of ground-based absolute spectral measurements. Here the novel Fourier transform spectrometer design is described showing its suitability to wide band measurement and $\sqrt{N}$ advantage over the usual scanning techniques., Comment: 8 pages, 10 figures. Accepted for publication in TIM
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- 2019
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70. Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology
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Chalmers, C., Fergus, P., Wich, Serge, and Montanez, Aday Curbelo
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Many different species are adversely affected by poaching. In response to this escalating crisis, efforts to stop poaching using hidden cameras, drones and DNA tracking have been implemented with varying degrees of success. Limited resources, costs and logistical limitations are often the cause of most unsuccessful poaching interventions. The study presented in this paper outlines a flexible and interoperable framework for the automatic detection of animals and poaching activity to facilitate early intervention practices. Using a robust deep learning pipeline, a convolutional neural network is trained and implemented to detect rhinos and cars (considered an important tool in poaching for fast access and artefact transportation in natural habitats) in the study, that are found within live video streamed from drones Transfer learning with the Faster RCNN Resnet 101 is performed to train a custom model with 350 images of rhinos and 350 images of cars. Inference is performed using a frame sampling technique to address the required trade-off control precision and processing speed and maintain synchronisation with the live feed. Inference models are hosted on a web platform using flask web serving, OpenCV and TensorFlow 1.13. Video streams are transmitted from a DJI Mavic Pro 2 drone using the Real-Time Messaging Protocol (RMTP). The best trained Faster RCNN model achieved a mAP of 0.83 @IOU 0.50 and 0.69 @IOU 0.75 respectively. In comparison an SSD-mobilenetmodel trained under the same experimental conditions achieved a mAP of 0.55 @IOU .50 and 0.27 @IOU 0.75.The results demonstrate that using a FRCNN and off-the-shelf drones is a promising and scalable option for a range of conservation projects., Comment: The papaer is 10 pages and contains 11 images and 1 table
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- 2019
71. SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity
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Montañez, Casimiro Aday Curbelo, Fergus, Paul, Chalmers, Carl, Malim, Nurul Ahamed Hassain, Abdulaimma, Basma, Reilly, Denis, and Falciani, Francesco
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Quantitative Biology - Genomics ,Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
One of the most important challenges in the analysis of high-throughput genetic data is the development of efficient computational methods to identify statistically significant Single Nucleotide Polymorphisms (SNPs). Genome-wide association studies (GWAS) use single-locus analysis where each SNP is independently tested for association with phenotypes. The limitation with this approach, however, is its inability to explain genetic variation in complex diseases. Alternative approaches are required to model the intricate relationships between SNPs. Our proposed approach extends GWAS by combining deep learning stacked autoencoders (SAEs) and association rule mining (ARM) to identify epistatic interactions between SNPs. Following traditional GWAS quality control and association analysis, the most significant SNPs are selected and used in the subsequent analysis to investigate epistasis. SAERMA controls the classification results produced in the final fully connected multi-layer feedforward artificial neural network (MLP) by manipulating the interestingness measures, support and confidence, in the rule generation process. The best classification results were achieved with 204 SNPs compressed to 100 units (77% AUC, 77% SE, 68% SP, 53% Gini, logloss=0.58, and MSE=0.20), although it was possible to achieve 73% AUC (77% SE, 63% SP, 45% Gini, logloss=0.62, and MSE=0.21) with 50 hidden units - both supported by close model interpretation., Comment: 12 pages, 6 figures, 12 tables, 9 equations, journal
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- 2019
72. Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes
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Fergus, Paul, Chalmers, Carl, Montanez, Casimiro Curbelo, Reilly, Denis, Lisboa, Paulo, and Pineles, Beth
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Gynaecologists and obstetricians visually interpret cardiotocography (CTG) traces using the International Federation of Gynaecology and Obstetrics (FIGO) guidelines to assess the wellbeing of the foetus during antenatal care. This approach has raised concerns among professionals with regards to inter- and intra-variability where clinical diagnosis only has a 30\% positive predictive value when classifying pathological outcomes. Machine learning models, trained with FIGO and other user derived features extracted from CTG traces, have been shown to increase positive predictive capacity and minimise variability. This is only possible however when class distributions are equal which is rarely the case in clinical trials where case-control observations are heavily skewed in favour of normal outcomes. Classes can be balanced using either synthetic data derived from resampled case training data or by decreasing the number of control instances. However, this either introduces bias or removes valuable information. Concerns have also been raised regarding machine learning studies and their reliance on manually handcrafted features. While this has led to some interesting results, deriving an optimal set of features is considered to be an art as well as a science and is often an empirical and time consuming process. In this paper, we address both of these issues and propose a novel CTG analysis methodology that a) splits CTG time-series signals into n-size windows with equal class distributions, and b) automatically extracts features from time-series windows using a one dimensional convolutional neural network (1DCNN) and multilayer perceptron (MLP) ensemble. Collectively, the proposed approach normally distributes classes and removes the need to handcrafted features from CTG traces., Comment: 11 Pages, 12 Figures (excluding profile pictures), accepted for publication in IEEE Transactions in Emerging Topics in Computational Intelligence
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- 2019
73. The Superstatistics of confined ants: From serenity to panic
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Reyes, A., Curbelo, M., Tejera, F., Rivera, A., Ramos, O., Turner, M. S., and Altshuler, E.
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Quantitative Biology - Populations and Evolution - Abstract
Nonequilibrium systems with strong parameter fluctuations are challenging to describe with standard Statistical Mechanics techniques. Superstatistics -- that can be seen as statistics of an underlying family of statistical distributions -- has emerged as a tool able to describe these complex systems. This has been successfully applied, for example, to hydrodynamic turbulence, internal convection, and even DNA architecture, but not to macroscopic biological systems. Here we document the occurrence of Superstatistics in the animal world, and reveal the emergence of Log-normal Superstatistics in a living system, when ants in a confined space are exposed to a threat. We use a data-driven superstatistical model to explain both normal and "panic" dynamics, identifying non-Gaussian velocity distributions, time scale separation, and the Log-normal statistics of a stochastic diffusion coefficient. We also reveal distinct behavioral regimes in the ants' collective panic response and how it relates with the individual ant memory and cluster formation. Furthermore, our findings indicate that optical signals or simple antennation are not significant mechanisms for panic transmission. These discoveries provide a foundation for the understanding of the biological origin of Log-normal type diffusion in confined environments., Comment: 10 pages, 6 figures
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- 2019
74. Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation
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Chalmers, C., Fergus, P., Montanez, C. Aday Curbelo, Sikdar, S., Ball, F., and Kendall, B.
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Computer Science - Computers and Society ,Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
The emergence of an ageing population is a significant public health concern. This has led to an increase in the number of people living with progressive neurodegenerative disorders like dementia. Consequently, the strain this is places on health and social care services means providing 24-hour monitoring is not sustainable. Technological intervention is being considered, however no solution exists to non-intrusively monitor the independent living needs of patients with dementia. As a result many patients hit crisis point before intervention and support is provided. In parallel, patient care relies on feedback from informal carers about significant behavioural changes. Yet, not all people have a social support network and early intervention in dementia care is often missed. The smart meter rollout has the potential to change this. Using machine learning and signal processing techniques, a home energy supply can be disaggregated to detect which home appliances are turned on and off. This will allow Activities of Daily Living (ADLs) to be assessed, such as eating and drinking, and observed changes in routine to be detected for early intervention. The primary aim is to help reduce deterioration and enable patients to stay in their homes for longer. A Support Vector Machine (SVM) and Random Decision Forest classifier are modelled using data from three test homes. The trained models are then used to monitor two patients with dementia during a six-month clinical trial undertaken in partnership with Mersey Care NHS Foundation Trust. In the case of load disaggregation for appliance detection, the SVM achieved (AUC=0.86074, Sen=0.756 and Spec=0.92838). While the Decision Forest achieved (AUC=0.9429, Sen=0.9634 and Spec=0.9634). ADLs are also analysed to identify the behavioural patterns of the occupant while detecting alterations in routine.
- Published
- 2019
75. Mujeres aguas arriba: historias de vida en el sector de agua, saneamiento y residuos sólidos
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Núñez, Anamaría, primary, Olmedo Velasco, María Augusta, additional, Ortega Oropeza, Leticia, additional, Ortega Carreño, Andrea, additional, Martínez, Naiara, additional, Constance, Paul, additional, Alvarado, Verónica, additional, Curbelo, Carolina, additional, Ponce Hornos, Natalie, additional, and Loeff, Adriana, additional
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- 2024
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76. Estudio de Resiliencia de la Red Electrica de Puerto Rico y Transiciones a Energia 100% Renovable (PR100): Informe resumido [Spanish Translation of Puerto Rico Grid Resilience and Transitions to 100% Renewable Energy Study (PR100) (Summary Report)]
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Baggu, Murali, primary, Burton, Robin, additional, Blair, Nate, additional, Sengupta, Manajit, additional, Harris, Tom, additional, Barrows, Clayton, additional, Sky, Haiku, additional, Gevorgian, Vahan, additional, Keen, Jeremy, additional, Smith, Elena, additional, Campton, Mike, additional, Jena, Sushmita, additional, Yang, Jaemo, additional, Williams, Travis, additional, Das, Paritosh, additional, Elsworth, James, additional, Joshi, Prateek, additional, Weiner, Cameron, additional, Morris, James, additional, McKinsey, Joseph, additional, Dhulipala, Surya Chandan, additional, Molnar, Sam, additional, Yan, Weihang, additional, Sharma, Pranav, additional, Wang, Wenbo, additional, Latif, Aadil, additional, Thom, Daniel, additional, Dalvi, Sourabh, additional, Baring-Gould, Ian, additional, Lave, Matthew, additional, Wachtel, Amanda, additional, Jones, C. Birk, additional, Moog, Emily, additional, Mammoli, Andrea, additional, Garrett, Richard, additional, Haines, Thad, additional, Vining, Will, additional, Newlun, Cody, additional, Hart, Olga, additional, Elizondo, Marcelo, additional, Fan, Xiaoyuan, additional, Maloney, Patrick, additional, Bharati, Alok, additional, Vyakaranam, Bharat, additional, Chalishazar, Vishvas, additional, Royer, Patrick, additional, Bereta dos Reis, Fernando, additional, Li, Xue (Michelle), additional, Mahapatra, Kaveri, additional, Dagle, Jeff, additional, Ke, Xinda, additional, Zhao, Meng, additional, Vasios, Orestis, additional, Franklin, Tycko, additional, Abdelmalak, Michael, additional, Guddanti, Kishan, additional, Acharya, Samrat, additional, Cruz, Marcos, additional, Etingov, Pavel, additional, Qin, Chuan, additional, Bedoya, Juan, additional, Nguyen, Tony, additional, Bhadra, Sraddhanjoli, additional, Tbaileh, Ahmad, additional, Ward, Laura, additional, Sinnott, Victoria, additional, Mendez-Curbelo, Pablo, additional, Cappers, Peter, additional, Deason, Jeff, additional, Pigman, Margaret, additional, Lewis, Lawrence, additional, Murphy, John, additional, Kobayashi-Carvalhaes, Thomaz, additional, Bennett, Melanie, additional, Liu, Yilu, additional, Cutler, Harvey, additional, Shields, Martin, additional, Jeon, Hwayoung, additional, and Chait, Michele, additional
- Published
- 2024
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77. Puerto Rico Grid Resilience and Transitions to 100% Renewable Energy Study (PR100) (Summary Report)
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Baggu, Murali, primary, Burton, Robin, additional, Blair, Nate, additional, Sengupta, Manajit, additional, Harris, Tom, additional, Barrows, Clayton, additional, Sky, Haiku, additional, Gevorgian, Vahan, additional, Keen, Jeremy, additional, Smith, Elena, additional, Campton, Mike, additional, Jena, Sushmita, additional, Yang, Jaemo, additional, Williams, Travis, additional, Das, Paritosh, additional, Elsworth, James, additional, Joshi, Prateek, additional, Weiner, Cameron, additional, Morris, James, additional, McKinsey, Joseph, additional, Dhulipala, Surya, additional, Molnar, Sam, additional, Yan, Weihang, additional, Sharma, Pranav, additional, Wang, Wenbo, additional, Latif, Aadil, additional, Thom, Daniel, additional, Dalvi, Sourabh, additional, Baring-Gould, Ian, additional, Lave, Matthew, additional, Wachtel, Amanda, additional, Jones, C., additional, Moog, Emily, additional, Mammoli, Andrea, additional, Garrett, Richard, additional, Haines, Thad, additional, Vining, Will, additional, Newlun, Cody, additional, Hart, Olga, additional, Elizondo, Marcelo, additional, Fan, Xiaoyuan, additional, Maloney, Patrick, additional, Bharati, Alok, additional, Vyakaranam, Bharat, additional, Chalishazar, Vishvas, additional, Royer, Patrick, additional, Bereta dos Reis, Fernando, additional, Li, Xue, additional, Mahapatra, Kaveri, additional, Dagle, Jeff, additional, Ke, Xinda, additional, Zhao, Meng, additional, Vasios, Orestis, additional, Franklin, Tycko, additional, Abdelmalak, Michael, additional, Guddanti, Kishan, additional, Acharya, Samrat, additional, Cruz, Marcos, additional, Etingov, Pavel, additional, Qin, Chuan, additional, Bedoya, Juan, additional, Nguyen, Tony, additional, Bhadra, Sraddhanjoli, additional, Tbaileh, Ahmad, additional, Ward, Laura, additional, Sinnott, Victoria, additional, Mendez-Curbelo, Pablo, additional, Cappers, Peter, additional, Deason, Jeff, additional, Pigman, Margaret, additional, Lewis, Lawrence, additional, Murphy, John, additional, Kobayashi-Carvalhaes, Thomaz, additional, Bennett, Melanie, additional, Liu, Yilu, additional, Cutler, Harvey, additional, Shields, Martin, additional, Jeon, Hwayoung, additional, and Chait, Michele, additional
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- 2024
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78. Propuestas de mejora en el subproceso de ingreso a la Educación Superior en la Universidad de Cienfuegos
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Gladys Elena Capote León, Damayse Pérez Fernández, and Lilliam Melisa Curbelo Capote
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instituciones de educación superior ,gestión por proceso ,ingreso a la educación superior ,control interno ,sistema de gestión ,Business records management ,HF5735-5746 - Abstract
Promover el diseño de sistemas de gestión y la integración de los procesos en las instituciones de educación universitaria constituye una prioridad de trabajo del Ministerio de Educación Superior. Unido a esta necesidad, se evidencian insuficiencias en el sistema de gestión en universidades cubanas que limitan el cumplimiento de sus objetivos. Es por ello que la presente investigación tiene como objetivo general: Implementar un procedimiento para el desarrollo del enfoque a procesos en el subproceso de ingreso a la Educación Superior de la Universidad de Cienfuegos. Para ello se utilizan técnicas de recopilación de información, así como las herramientas propias de la gestión por procesos como diagrama SIPOC, diagramas de flujos, matriz UTI y la técnica de la 5Ws y 1H. Los resultados están dados en la obtención de la documentación del subproceso estudiado, la identificación de fortalezas y debilidades, así como la proyección de acciones de mejora que incluye el sistema de control interno del área, los perfiles de competencia de los puestos de trabajo y el cuadro de clasificación de los archivos, todo lo cual tributa a un mejor desempeño de la gestión del ingreso a la educación superior en la institución estudiada.
- Published
- 2023
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79. Frailty in Older Adults and Physical Activity
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Jorge Luis Abreus Mora and Vivian Bárbara González Curbelo
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envejecimiento ,procesos fisiológicos ,ejercicio físico ,adultos mayores fragilizados ,Internal medicine ,RC31-1245 ,Special situations and conditions ,RC952-1245 - Abstract
Early detection of frailty and the timely use of diagnostic, therapeutic and rehabilitative techniques can positively modify the expected expression of disability in the elderly. Early interventions, which include exercise and mobilization, help reduce the severity of associated complications and facilitate the functional recovery of this age group. Resistance, flexibility, balance and strength exercises reduce the incidence and risk of falls, morbidity and mortality and prevent functional deterioration.
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- 2023
80. scKINETICS: inference of regulatory velocity with single-cell transcriptomics data.
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Cassandra Burdziak, Chujun Julia Zhao, Doron Haviv, Direna Alonso-Curbelo, Scott W. Lowe, and Dana Pe'er
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- 2023
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81. Scalable Scientific Interactive Research Computing With Project Scinco.
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Joe Stubbs, Anagha Jamthe, Nathan Dean Freeman, Mike Packard, Gilbert Curbelo, and Cody Hammock
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- 2023
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82. Characterization of older adults' sexual life in a health area
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Juan Miguel Benítez García, Julio César Camero Machín, Jesús Cuello Ávila, and Juan Carlos Curbelo Fajardo
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anciano ,sexualidad ,atención primaria de salud ,Medicine (General) ,R5-920 ,Public aspects of medicine ,RA1-1270 - Abstract
Background: sexuality in the elderly is an essential factor in maintaining their quality of life.Objective: to characterize the sexual life of older adults in a health area.Methods: a descriptive and cross-sectional study was carried out in office 163 of the Raúl Sánchez University Polyclinic, in Pinar del Río in the period between September 2020 and September 2021. The universe of work was made up of 104 older adults and the sample consisted of 72 elderly, by means of intentional sampling by criteria. The instrument used was the interview; the data obtained were taken to a survey that with closed questions was personally applied to each of the study members. The following variables were analyzed: sex, marital status, education, sexual life, preferred sexual techniques, sexual functioning, causes that prevent the performance of the sexual act, associated diseases and drug use.Results: there was a predominance of primary school level, marital status without partners, female sex and sexual inactivity; vaginal intercourse predominated as the most frequent way of manifesting sexual activity. More than 90 % of men have some difficulty in sexual life. 22.5% present difficulties due to organic diseases.Conclusions: it is false that the elderly is an entity devoid of interest in sexual life, but it is affected by several factors, among which organic diseases and lack of a partner stand out.
- Published
- 2023
83. Producción de leche en Ecuador, su proyección a partir de escenarios con énfasis en la cuenca baja del Guayas
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Medina Pinoargote, Gabriela Electra, Pereda Mouso, Jorge Jesús, and Curbelo Rodriguez, Lino Miguel
- Published
- 2024
84. Alejandro Balazote y Hernán Palermo (compiladores). Estudios de Ciencias Sociales del Trabajo. Ciudad Autónoma de Buenos Aires: Editorial de la Facultad de Filosofía y Letras Universidad de Buenos Aires, 2023.
- Author
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María Magdalena Curbelo Diaz
- Subjects
Anthropology ,GN1-890 ,Ethnology. Social and cultural anthropology ,GN301-674 - Abstract
Reseña del libro Alejandro Balazote y Hernán Palermo (compiladores). Estudios de Ciencias Sociales del Trabajo. Ciudad Autónoma de Buenos Aires: Editorial de la Facultad de Filosofía y Letras Universidad de Buenos Aires, 2023.
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- 2023
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85. A new ROV storage device for deep-sea sampling
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ESTÉFANE C. REIS, IAN V. DA ROCHA, MARIA PATRICIA CURBELO-FERNANDEZ, PRISCILA R. DA SILVA, and MARCIA V. REYNIER
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Associated fauna ,sampling box ,corals ,octocorals ,rhodoliths ,Science - Abstract
Abstract Sampling deep-sea biota is a significant challenge because of the logistics required, in terms of vessels and equipment, to obtain minimally preserved specimens. Traditional methods (trawls, nets, and dredges) cause physical damage, stress, and even contamination during the process of removal from the seabed and their displacement through the water column to the surface. Preserving conditions similar to those found in situ is particularly important when the sampling strives to maintain living organisms and for analyses where contamination or degradation by stress or damage may interfere with the results. Therefore, for the sampling and storage of this biota with less interference, a polypropylene box was designed based on the model of Kellogg et al. (2009) incorporating adaptations to be used by a Remotely Operated Vehicle (ROV). This new device has been successfully used in eight oceanographic campaigns, adequately performing for sediment and biota sampling, including coral reef forming or framework species (Scleractinia), octocorals, associated fauna, and rhodoliths, at depths between 50 and 900 m.
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- 2023
- Full Text
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86. Percepción de adolescentes a través del dibujo sobre sexualidad
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Yuneisys Rodriguez Fajardo, Caridad Dandicourt Thomas, Mailin Cubas Curbelo, Yenima de la Caridad Rodriguez Fajardo, and Tania de la Caridad García Castellanos
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adolescente ,prevención ,salud sexual ,sexualidad ,Nursing ,RT1-120 - Abstract
Resumen: Objetivos: Identificar las percepciones de los adolecentes sobre, sexualidad, salud sexual y la manera de acceder a la información. Materiales y métodos:Se realizó una investigación descriptiva de corte cualitativa, de tipo participativa, con un enfoque preventivo dirigido a transformar el cuidado a la salud de los adolescentes.El contexto del estudio fue la secundaria urbana Hubert de Black, del municipio Plaza de la Revolución en la provincia La Habana. Se realizaron entrevista grupal con los adolecentes de la muestra seleccionada, para conocer sus percepciones sobre el tema que se aborda. Resultados: Durante la entrevista grupal, no se logró una expresión fluida de los adolescentes sobre el tema, los datos aportados fueron escasos. Se observo a través del dibujo que los adolescentes, no perciben las relaciones sexuales como el disfrute producto de una relación amorosa. Además, se observó que de la familia es la mamá la que más información brinda y acceden mucho a la información de internet. Conclusiones: La mayoría de los adolescentes estudiados no tienen una percepción adecuada sobre la sexualidad y la salud sexual. Las técnicas graficas con los adolescentes participantes posibilitaron identificar la percepción que tienen los mismos sobre el tema que se abordó y el recorrido que siguen para acceder a la información.
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- 2023
- Full Text
- View/download PDF
87. Tannat grape pomace as an ingredient for potential functional biscuits: bioactive compound identification, in vitro bioactivity, food safety, and sensory evaluation
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Victoria Olt, Jessica Báez, Romina Curbelo, Eduardo Boido, Miguel Amarillo, Adriana Gámbaro, Silvana Alborés, Natalia Gerez García, María Verónica Cesio, Horacio Heinzen, Eduardo Dellacassa, Adriana Maite Fernández-Fernández, and Alejandra Medrano
- Subjects
bioactive compound identification ,food safety ,functional biscuits ,sensory analysis ,Tannat grape pomace ,wine byproduct ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Grape pomace, the main by-product of wine process, shows high potential for the development of functional foods, being a natural source of bioactive compounds and dietary fiber. Thus, the present study proposes the development of five potential functional biscuits. The five formulations were achieved by varying the Tannat grape pomace powder (TGP, 10–20% w/w total wet dough) and sweetener sucralose (2–4% w/w total wet dough) content through a factorial design with central points. TGP microbiological and pesticides analysis were performed as a food safety requirement. Identification of bioactive compounds by HPLC-DAD-MS, in vitro bioactivity (total phenol content, antioxidant by ABTS and ORAC-FL, antidiabetic and antiobesity by inhibition of α-glucosidase and pancreatic lipase, respectively) and sensory properties of the biscuits were evaluated. TGP microbiological and pesticides showed values within food safety criteria. Sensory profiles of TGP biscuits were obtained, showing biscuits with 20% TGP good sensory quality (7.3, scale 1–9) in a cluster of 37 out of 101 consumers. TGP addition in biscuits had a significant (p < 0.05) effect on total phenolic content (0.893–1.858 mg GAE/g biscuit) and bioactive properties when compared to controls: 11.467–50.491 and 4.342–50.912 μmol TE/g biscuit for ABTS and ORAC-FL, respectively; inhibition of α-glucosidase and pancreatic lipase, IC50 35.572–64.268 and 7.197–47.135 mg/mL, respectively. HPLC-DAD-MS results showed all the identified phenolic compounds in 20/4% biscuit (TGP/sucralose%) were degraded during baking. Malvidin-3-O-(6′-p-coumaroyl) glucoside, (+)-catechin, malvidin-3-O-glucoside, and (−)-epicatechin were the main phenolic compounds (in descendent order of content) found. The bioactive properties could be attributed to the remaining phenolic compounds in the biscuits. In conclusion, TGP biscuits seemed to be a promising functional food with potential for ameliorating oxidative stress, glucose and fatty acids levels with good sensory quality.
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- 2023
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88. Second-Moment/Order Approximations by Kernel Smoothers with Application to Volatility Estimation
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León Beleña, Ernesto Curbelo, Luca Martino, and Valero Laparra
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quantile regression ,kernel smoothers ,times series ,heteroscedasticity ,nearest neighbors ,Mathematics ,QA1-939 - Abstract
Volatility estimation and quantile regression are relevant active research areas in statistics, machine learning and econometrics. In this work, we propose two procedures to estimate the local variances in generic regression problems by using kernel smoothers. The proposed schemes can be applied in multidimensional scenarios (not just for time series analysis) and easily in a multi-output framework as well. Moreover, they enable the possibility of providing uncertainty estimation using a generic kernel smoother technique. Several numerical experiments show the benefits of the proposed methods, even compared with the benchmark techniques. One of these experiments involves a real dataset analysis.
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- 2024
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89. Determination of Pesticide Residues in Vine Leaves Using the QuEChERS Method and Liquid Chromatography-Tandem Mass Spectrometry
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Mehmet Keklik, Ozgur Golge, Miguel Ángel González-Curbelo, and Bulent Kabak
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food safety ,green leaves ,LC-MS/MS ,method validation ,sample preparation ,pesticides ,Chemical technology ,TP1-1185 - Abstract
Commercial viticulture necessitates regular pesticide applications to manage diseases and pests, raising significant concerns regarding pesticide residues among stakeholders. Due to health risks associated with these residues in Turkish vine leaves, the European Commission has increased the frequency of official control from 20% to 50%. Thus, the aim of this study was to determine multi-class pesticide residues in brined vine leaves from Turkey. A total of 766 samples of vine leaves were collected between May 2022 and June 2023. More than 500 residues were analyzed using the quick, easy, cheap, effective, rugged, and safe (QuEChERS) method, followed by liquid chromatography-tandem mass spectrometry. In-house validation data demonstrated that the analytical method exhibits fit-for-purpose performance in terms of linearity, accuracy, precision, and measurement uncertainty. Out of 766 samples analyzed, 180 samples (23.5%) contained one (131, 17.1%) or multiple (49, 6.4%) pesticides. Both the frequencies of occurrence and the rate of maximum residue level (MRL) exceedance increased in 2023 compared to 2022, with the MRL exceedance rate rising from 9.5% to 25.2%. Forty-three different residues were found in quantifiable concentrations and eight of them were non-approved. Among the residues, the non-systemic pyrethroid insecticides, lambda-cyhalothrin (8.0%) and cypermethrin (7.2%), were the two most frequently detected, with concentrations ranging from 0.010 to 0.248 mg kg−1 and from 0.011 to 0.533 mg kg−1, respectively. Turkey is a major exporter of vine leaves and these results provide crucial information regarding pesticide occurrence and quality assessment of vine leaves. The significant increase in both pesticide occurrence and MRL exceedance rates between 2022 and 2023 underscores the urgency for regulatory bodies to reassess current pesticide usage and monitoring practices. The findings emphasize the importance of implementing more stringent rules and improving enforcement methods in order to reduce the spread of unapproved pesticides and ensure adherence to global food safety standards.
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- 2024
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90. Safe importance sampling based on partial posteriors and neural variational approximations.
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Fernando Llorente 0001, Ernesto Curbelo, Luca Martino, Pablo M. Olmos, and David Delgado 0001
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- 2022
91. Diffusivity of Some Ions in Natural Bentonite
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García, Julio Omar Prieto, Geulamussein, Noor Gehan, Carvajal, Yailet Albernas, Sánchez, Alfredo Curbelo, García, Mixary Enríquez, Trujillo, Ángel Mollineda, Bezaeva, Natalia S., Series Editor, Gomes Coe, Heloisa Helena, Series Editor, Nawaz, Muhammad Farrakh, Series Editor, Cardenas, Rolando, editor, Mochalov, Vladimir, editor, Parra, Oscar, editor, and Martin, Osmel, editor
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- 2022
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92. Skeletal muscle Nox4 knockout prevents and Nox2 knockout blunts loss of maximal diaphragm force in mice with heart failure with reduced ejection fraction
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Kumar, Ravi A., Hahn, Dongwoo, Kelley, Rachel C., Muscato, Derek R., Shamoun, Alex, Curbelo-Bermudez, Nuria, Butler, W. Greyson, Yegorova, Svetlana, Ryan, Terence E., and Ferreira, Leonardo F.
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- 2023
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93. MOF@biomass hybrids: Trends on advanced functional materials for adsorption
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Rivadeneira-Mendoza, Bryan Fernando, Estrela Filho, Otoniel Anacleto, Fernández-Andrade, Kevin Jhon, Curbelo, Fabiola, Fred da Silva, Fausthon, Luque, Rafael, and Rodríguez-Díaz, Joan Manuel
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- 2023
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94. MACHETE identifies interferon-encompassing chromosome 9p21.3 deletions as mediators of immune evasion and metastasis
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Barriga, Francisco M., Tsanov, Kaloyan M., Ho, Yu-Jui, Sohail, Noor, Zhang, Amy, Baslan, Timour, Wuest, Alexandra N., Del Priore, Isabella, Meškauskaitė, Brigita, Livshits, Geulah, Alonso-Curbelo, Direna, Simon, Janelle, Chaves-Perez, Almudena, Bar-Sagi, Dafna, Iacobuzio-Donahue, Christine A., Notta, Faiyaz, Chaligne, Ronan, Sharma, Roshan, Pe’er, Dana, and Lowe, Scott W.
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- 2022
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95. Lagrangian study of the final warming in the southern stratosphere during 2002: Part II. 3D structure
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Curbelo, Jezabel, Mechoso, Carlos R., Mancho, Ana M., and Wiggins, Stephen
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Physics - Atmospheric and Oceanic Physics - Abstract
This two-part paper aims to provide a Lagrangian perspective of the final southern warming in spring of 2002, during which the stratospheric polar vortex (SPV) experienced a unique splitting. We approach the subject from a dynamical systems viewpoint and search for Lagrangian coherent structures using a Lagrangian descriptor that is applied to reanalysis data. Part I presents our methodology and focuses by means of a kinematic model, on the understanding of fundamental processes for filamentation and ultimately for vortex splitting on an isentropic surface in the middle stratosphere. The present Part II discusses the three dimensional (3D) evolution of the flow during the selected event. For this, we apply concepts developed in Part I concerning a definition of the vortex boundary that helps in the selection of trajectories to illuminate the evolving flow structures, and a criterion that allows to justify why at an isentropic level a pinched vortex will split in later times. Lagrangian structures identified include surfaces that are several kilometers deep, and which a particle trajectory analysis confirms as barriers to the flow. The role of Lagrangian structures in determining the fate of particles during the SPV splitting is discussed., Comment: 15 pages, 8 pages
- Published
- 2018
- Full Text
- View/download PDF
96. Lagrangian study of the final warming in the southern stratosphere during 2002: Part I. The Vortex Splitting at Upper Levels
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Curbelo, Jezabel, Mechoso, Carlos R., Mancho, Ana M., and Wiggins, Stephen
- Subjects
Physics - Atmospheric and Oceanic Physics - Abstract
The present two-part paper provides a Lagrangian perspective of the final southern warming in 2002, during which the stratospheric polar vortex (SPV) experienced a unique splitting. Part I focuses on the understanding of fundamental processes for filamentation and ultimately for vortex splitting on a selected isentropic surface in the middle stratosphere. Part II discusses the three-dimensional evolution of the selected sudden warming event. We approach the subject from a dynamical systems viewpoint and search for Lagrangian coherent structures using a Lagrangian descriptor as a tool. In this Part I we work in the idealized framework of a kinematic model that allows for an understanding of the contributing elements of the flow in late September during the splitting. We introduce a definition of kinematic SPV boundary based on a criterion for binning parcels inside and outside the vortex according to their values of the Lagrangian descriptor and associated PDF. This definition is justified by using arguments that go beyond heuristic considerations based on the potential vorticity. Next, we turn to the filamentation proceses along this kinematic boundary, and the role of Lagrangian structures in the SPV splitting. We determine a criterion for splitting based on the structure of the evolving unstable and unstable manifolds., Comment: 25 pages, 11 figures
- Published
- 2018
- Full Text
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97. Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data
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Montañez, Casimiro A. Curbelo, Fergus, Paul, Chalmers, Carl, and Hind, Jade
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Quantitative Biology - Genomics ,Computer Science - Computational Engineering, Finance, and Science ,Computer Science - Machine Learning - Abstract
The aetiology of polygenic obesity is multifactorial, which indicates that life-style and environmental factors may influence multiples genes to aggravate this disorder. Several low-risk single nucleotide polymorphisms (SNPs) have been associated with BMI. However, identified loci only explain a small proportion of the variation ob-served for this phenotype. The linear nature of genome wide association studies (GWAS) used to identify associations between genetic variants and the phenotype have had limited success in explaining the heritability variation of BMI and shown low predictive capacity in classification studies. GWAS ignores the epistatic interactions that less significant variants have on the phenotypic outcome. In this paper we utilise a novel deep learning-based methodology to reduce the high dimensional space in GWAS and find epistatic interactions between SNPs for classification purposes. SNPs were filtered based on the effects associations have with BMI. Since Bonferroni adjustment for multiple testing is highly conservative, an important proportion of SNPs involved in SNP-SNP interactions are ignored. Therefore, only SNPs with p-values < 1x10-2 were considered for subsequent epistasis analysis using stacked auto encoders (SAE). This allows the nonlinearity present in SNP-SNP interactions to be discovered through progressively smaller hidden layer units and to initialise a multi-layer feedforward artificial neural network (ANN) classifier. The classifier is fine-tuned to classify extremely obese and non-obese individuals. The best results were obtained with 2000 compressed units (SE=0.949153, SP=0.933014, Gini=0.949936, Lo-gloss=0.1956, AUC=0.97497 and MSE=0.054057). Using 50 compressed units it was possible to achieve (SE=0.785311, SP=0.799043, Gini=0.703566, Logloss=0.476864, AUC=0.85178 and MSE=0.156315)., Comment: 13 pages, 4 figures, 13 equations, 2 tables, conference
- Published
- 2018
98. Hipertensión arterial, la asesina silenciosa
- Author
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Walfrido Antonio Curbelo Videra
- Published
- 2023
99. Nuclearized Wings
- Author
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CURBELO, SILVIA ÁLVAREZ, primary
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- 2023
- Full Text
- View/download PDF
100. Stilbene Identification and Quantitation by High-Performance Liquid Chromatography Coupled with Mass Spectrometry (HPLC-MS)
- Author
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Boido, Eduardo, primary, Curbelo, Romina, additional, Rodríguez, Luisina, additional, Davyt, Danilo, additional, Dellacassa, Eduardo, additional, and Fariña, Laura, additional
- Published
- 2023
- Full Text
- View/download PDF
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