El ultimatum de María Jesús

Duración (en horas): Más de 50 horas. Destinatario: Estudiante y Docente

Determinants of self-reported smoking and misclassification during pregnancy, and analysis of optimal cut-off points for urinary cotinine: a cross-sectional study

10 p.

Aproximación al estudio de los contextos cerámicos del País Vasco, siglos XIV-XVII

Trabajo de Investigación Predoctoral 2006

Cartas enviadas por Ramón María de Aldasoro a Justo Garate en 1940

8 cartas (mecanografiadas) ; 225x285 mmm. Ubicación: Caja 1 - Carpeta 20

Carta enviada por José María de Azcárraga a Justo Garate en 1964

1 carta (manuscrita) : 275x214mm. Ubicación: Caja 1 - Carpeta 81

Cartas enviadas por José María Azcona a Justo Garate entre 1930 y 1936

7 cartas (mecanografiadas y manuscritas) ; entre 180x130mm y 214x139mm. Ubicación: Caja 1 - Carpeta 82

Cartas enviadas por José María Bengoa a Justo Garate entre 1940 y 1945

10 cartas (mecanografiadas); entre 210x255mm y 210x310mm. [La carta fechada el 10-11-1942 esta incompleta, falta la primera hoja]

Cartas enviadas por José María Bengoa a Justo Garate entre 1947 y 1961

11 cartas (mecanografiadas y manuscritas); entre 170x225mm y 215x275mm

Cartas enviadas por José María Bengoa a Justo Garate entre 1962 y 1992

8 cartas (mecanografiadas y manuscritas); entre 150x210mm y 215x275mm .- 1 Felicitación de Navidad (manuscrita y sin fecha) ; 110mmx160mm

Cartas enviadas por María Milagros Bidegain a Justo Garate entre 1971 y 1972

2 cartas (mecanografiada y manuscrita); entre 215x155mm y 210x315mm.

Cosméticos María D'uol: Gulliver en el país de los gigantes

Duración (en horas): De 21 a 30 horas Destinatario: Estudiante y Docente

La «Vita Mahometi» del códice 10 de Uncastillo (s. XIII): estudio y edición

Actas coordinadas por Maurilio Pérez González

Exploring Game Performance in the National Basketball Association Using Player Tracking Data

Recent player tracking technology provides new information about basketball game performance. The aim of this study was to (i) compare the game performances of all-star and non all-star basketball players from the National Basketball Association (NBA), and (ii) describe the different basketball game performance profiles based on the different game roles. Archival data were obtained from all 2013-2014 regular season games (n = 1230). The variables analyzed included the points per game, minutes played and the game actions recorded by the player tracking system. To accomplish the first aim, the performance per minute of play was analyzed using a descriptive discriminant analysis to identify which variables best predict the all-star and non all-star playing categories. The all-star players showed slower velocities in defense and performed better in elbow touches, defensive rebounds, close touches, close points and pull-up points, possibly due to optimized attention processes that are key for perceiving the required appropriate environmental information. The second aim was addressed using a k-means cluster analysis, with the aim of creating maximal different performance profile groupings. Afterwards, a descriptive discriminant analysis identified which variables best predict the different playing clusters. The results identified different playing profile of performers, particularly related to the game roles of scoring, passing, defensive and all-round game behavior. Coaching staffs may apply this information to different players, while accounting for individual differences and functional variability, to optimize practice planning and, consequently, the game performances of individuals and teams.