Diferencial de gasto hospitalario en salud mental entre Cataluña y la OCDE: una estimación agregada by Roger Sabater-Mezquita, Guillem Lopez-Casasnovas, Roberto Martinez-Lacoba, Glòria Merino-Pinto

“…Método: Se ha desarrollado un modelo predictivo basado en el gasto hospitalario público en salud mental de países de la OCDE, ajustado por factores como el producto interior bruto per cápita, la demografía poblacional, la proporción de gasto en salud mental dentro del gasto sanitario total, la desigualdad en renta y el desempleo. …”
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A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study by Sheila Bermejo, Ester González, Katia López-Revuelta, Meritxell Ibernon, Diana López, Adoración Martín-Gómez, Rosa Garcia-Osuna, Tania Linares, Montserrat Díaz, Nàdia Martín, Xoana Barros, Helena Marco, Maruja Isabel Navarro, Noemí Esparza, Sandra Elias, Ana Coloma, Nicolás Roberto Robles, Irene Agraz, Esteban Poch, Lida Rodas, Víctor Lozano, Beatriz Fernández-Fernández, Eduardo Hernández, Maria Isabel Martínez, Ramona Ionela Stanescu, José Pelayo Moirón, Núria García-Fernández, Marian Goicoechea, Francesca Calero, Josep Bonet, Fernando Liaño, Julio Pascual, Manuel Praga, Xavier Fulladosa, María José Soler

“…Results: A total of 832 patients with diabetes and renal biopsy were analyzed. An accurate risk-predictive model for NDKD was developed with five top-ranked non-invasive clinical variables (age, serum creatinine, presence of diabetic retinopathy, microhematuria and peripheral vascular disease) obtaining a score for each one allowing for a proper prediction of NDKD. …”
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A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study by Sheila Bermejo, Ester González, Katia López-Revuelta, Meritxell Ibernon, Diana López, Adoración Martín-Gómez, Rosa Garcia-Osuna, Tania Linares, Montserrat Díaz, Nàdia Martín, Xoana Barros, Helena Marco, Maruja Isabel Navarro, Noemí Esparza, Sandra Elias, Ana Coloma, Nicolás Roberto Robles, Irene Agraz, Esteban Poch, Lida Rodas, Víctor Lozano, Beatriz Fernández-Fernández, Eduardo Hernández, Maria Isabel Martínez, Ramona Ionela Stanescu, José Pelayo Moirón, Núria García-Fernández, Marian Goicoechea, Francesca Calero, Josep Bonet, Fernando Liaño, Julio Pascual, Manuel Praga, Xavier Fulladosa, María José Soler

“…Results: A total of 832 patients with diabetes and renal biopsy were analyzed. An accurate risk-predictive model for NDKD was developed with five top-ranked non-invasive clinical variables (age, serum creatinine, presence of diabetic retinopathy, microhematuria and peripheral vascular disease) obtaining a score for each one allowing for a proper prediction of NDKD. …”
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Predicción de la motivación en los estadios de cambio de ejercicio más activos (Prediction of motivation in the more active stages of exercise change) by Maria Isabel Aspano Carron, Susana Lobato Muñoz, Marta Leyton Román, Marco Batista, Ruth Jiménez Castuera

“…El marco teórico empleado fue la Teoría de la Autodeterminación y el Modelo Transteórico. La muestra estuvo compuesta por 187 estudiantes de educación física con una edad media de 15.5 años (DT = 1.70). …”
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Efectos de las actividades en la naturaleza en la predicción de la satisfacción de la Educación Física (Effects of outdoor activities in predicting Physical Education satisfaction)... by Antonio Baena-Extremera, Antonio Granero-Gallegos

“…Following the Adventure Program, all variables improved but boredom, especially the relationship with others. Autonomy predicts mainly intrinsic motivation, which in turn, predicts satisfaction/enjoyment in students. …”
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Impacto de los factores psicológicos y fisiológicos en la predicción del rendimiento en resistencia (Impact of psychological and physiological factors on endurance performance pred... by Irati Ortiz de Anda Martín, Iker Muñoz Pérez, Erika Borrajo Mena, Asier Del Arco Paniagua

“…Athletic performance is a complex multifactorial phenomenon, therefore several variables should be considered to provide an accurate prediction of time in races. However, physiological variables have usually been used as the main predictors, ignoring the predictive potential of other factors such as psychological variables. …”
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Estimación de la resistencia a la penetración de suelos usando redes neuronales artificiales Prediction of the soils penetration strength using artificial neural networks by Nidia Johana Valdés Holguín, Luis Octavio González Salcedo, Adrián L E. Will

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Avaliação da propagação de sinais de radiofrequência para tecnologia Zigbee em granja de frango de corte Evaluation of radiofrequency signals for Zigbee technology in poultry housi... by Eduardo F. Nunes, Nelson L. Cappelli, Claudio K. Umezu

“…To automate the power measurement a DELPHI language software was developed and, for the prediction of RF signals, an adjusted model of the shadowing was used. …”
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Predicción computacional de estructura terciaria de las proteínas humanas Hsp27, αB-cristalina y HspB8 by Homero Saenz-Suárez, Leonardo Rene Lareo, Carlos Oribio-Quinto, Juan Martínez-Mendoza, Aura Chávez-Zobel

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Chuvas intensas relacionadas à erosão hídrica Intense rainfalls related to water erosion by Glenio G. Santos, Nori P. Griebeler, Luiz F. C. de Oliveira

“…Diversos trabalhos, incluindo resultados de pesquisas e desenvolvimento de modelos, têm correlacionado as características das precipitações no sentido de entender, prever e apresentar soluções ao problema erosivo. …”
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Can motor coordination level predict performance on volleyball skills in youth? (¿Puede el nivel de coordinación motora predecir el rendimiento en habilidades específicas de volea... by Blena Marinho, Daniel das Virgens Chagas

“…However, it is unknown whether motor coordination level can predict performance on volleyball skills. The main aim of this study was to verify whether motor coordination level, assessed using a generic test, can predict performance on volleyball skill sin youth. …”
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Predicción de la lealtad de los usuarios de centros deportivos privados. Variables de gestión y bienestar subjetivo (Prediction of the loyalty of costumers of private sports center... by Fernando García Pascual, Mario Alguacil, Núria Molina García

“…Todas las variables que formaban el modelo obtuvieron buenos resultados en cuanto a la fiabilidad, siendo el valor emocional el que mayor valor de alfa de Cronbach obtuvo. …”
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Estresores académicos y los estilos de vida de los estudiantes universitarios: Un estudio predictivo en una universidad pública (Academic stressors and the lifestyles of university... by Edwin Gustavo Estrada-Araoz, Guido Ayay-Arista, Elizabeth Orfelia Cruz-Laricano, Jimmy Nelson Paricahua-Peralta

“…In this regard, the aim of this study was to determine which academic stressors predict the lifestyle of students at a public university. …”
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Retrocollis, anterocollis or head tremor may predict the spreading of dystonic movements in primary cervical dystonia Retrocolis, anterocolis ou tremor cefálico podem predizer a pr... by Clecio Godeiro-Junior, Andre Carvalho Felício, Patrícia Maria de Carvalho Aguiar, Vanderci Borges, Sonia Maria Azevedo Silva, Henrique Ballalai Ferraz

“…CONCLUSION: Time of disease >18.5 months, retrocollis, anterocollis and head tremor may predict spreading of dystonic movement to other regions of the body in CD patients.…”
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Predictive factors for neuromotor abnormalities at the corrected age of 12 months in very low birth weight premature infants Fatores preditivos para anormalidades neuromotoras aos... by Rosane Reis de Mello, Kátia Silveira da Silva, Maura Calixto Cecherelli de Rodrigues, Geórgia Chalfun, Rachel Carvalho Ferreira, Juliana Verçosa Rocha Delamônica

“…BACKGROUND: The increase in survival of premature newborns has sparked growing interest in the prediction of their long-term neurodevelopment. OBJECTIVE: To estimate the incidence of neuromotor abnormalities at the corrected age of 12 months and to identify the predictive factors associated with altered neuromotor development in very low birth weight premature infants. …”
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Working memory and intelligence quotient: which best predicts on school achievement? = Memória de trabalho e quociente de inteligência: o que melhor prevê o desempenho escolar? = M... by Siquara, Gustavo Marcelino, Lima, Cássio dos Santos

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Business ethics, corporate social responsibility and fostering innovation as predictors of employee happiness - Ética empresarial, responsabilidad social corporativa e innovación c... by Victor Mercader, Esthela Galván-Vela, Mario Alberto Salazar-Altamirano, Rafael Ravina-Ripoll 

“…Metodología: se adoptó un enfoque cuantitativo, utilizando modelos de ecuaciones estructurales basados en covarianza (CB-SEM). …”
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Modelación y análisis de susceptibilidad a la deformación permanente de mezclas asfálticas Modeling and analysis of susceptibility to permanent deformation in asphalt mixtures by Julián Vidal V, Alexander Ossa

“…La deformación permanente de mezclas asfálticas del Área Metropolitana del Valle de Aburra - Antioquia, las cuales se fabrican en nuestro medio bajo las especificaciones INVIAS (Instituto Nacional de Vías) y del Valle de Aburrá, se estudiaron utilizando un modelo constitutivo propuesto anteriormente. Este modelo mostró previamente ser efectivo en predecir la deformación de mezclas asfálticas en el Reino Unido bajo diferentes tipos de carga bajo condiciones uniaxiales y triaxiales, y temperaturas comprendidas entre 0 °C y 40 °C. …”
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Modelado predictivo de actitudes y comportamientos ético-profesionales en médicos latinoamericanos mediante redes neuronales by Alberto Guevara Tirado, Raul Emilio Real Delor

“…El objetivo fue generar un modelo predictivo de actitudes y comportamientos ético-profesionales entre médicos latinoamericanos mediante el uso de redes neuronales. …”
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Uso da aproximação fractal no ajuste da curva de retenção de água no solo Use of fractal approach for the adjustment of the soil water retention curve by Francisco J. R. da Paixão, Antonio R. S. de Andrade, Carlos A. V. de Azevedo, Vera L. A. de Lima, José Dantas Neto

“…Houve variação entre os modelos definidos pelas dimensões fractais DSWRC e DPSD, e nas diferentes profundidades avaliadas. …”
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