Effects of caffeine supplementation on physical performance and mood dimensions in elite and trained-recreational athletes.

Background: Caffeine supplementation (CAFF) has an established ergogenic effect on physical performance and the psychological response to exercise. However, few studies have compared the response to CAFF intake among athletes of different competition level. This study compares the acute effects of CAFF on anaerobic performance, mood and perceived effort in elite and moderately-trained recreational athletes. Methods: Participants for this randomized, controlled, crossover study were 8 elite athletes (in the senior boxing national team) and 10 trained-recreational athletes. Under two experimental conditions, CAFF supplementation (6 mg/kg) or placebo (PLAC), the athletes completed a Wingate test. Subjective exertion during the test was recorded as the rating of perceived exertion (RPE) both at the general level (RPEgeneral) and at the levels muscular (RPEmuscular) and cardiorespiratory (RPEcardio). Before the Wingate test, participants completed the questionnaires Profiles of Moods States (POMS) and Subjective Vitality Scale (SVS). Results: In response to CAFF intake, improvements were noted in Wpeak (11.22 ± 0.65 vs 10.70 ± 0.84; p = 0.003; η2 p =0.44), Wavg (8.75 ± 0.55 vs 8.41 0.46; p = 0.001; η2 p =0.53) and time taken to reach Wpeak (7.56 ± 1.58 vs 9.11 ± 1.53; p < 0.001; η2 p =0.57) both in the elite and trained-recreational athletes. However, only the elite athletes showed significant increases in tension (+ 325%), vigor (+ 31%) and SVS (+ 28%) scores after the intake of CAFF compared to levels recorded under the condition PLAC (p < 0.05). Similarly, levels of vigor after consuming CAFF were significantly higher in the elite than the trained-recreational athletes (+ 5.8%). Conclusions: CAFF supplementation improved anaerobic performance in both the elite and recreational athletes. However, the ergogenic effect of CAFF on several mood dimensions and subjective vitality was greater in the elite athletes.post-print700 K

Revista de Vertebrados de la Estación Biológica de Doñana

Relación longitud-peso y condición del Barbo de Sclater (Barbus barbus sclateri G.), en el río Guadiato, Córdoba, España.Estudio biométrico y biológico de la tortuga mora (Testudo graeca) en la Reserva Biológica de Doñana, HuelvaEtograma del lagarto de Tenerife, Gallotia galloti galloti (Sauria-LacertidaeOrganización temporal en las comunidadesde avesAlimentación y relaciones tróficas entre los paseriformes en paso otoñal por una localidad de Andalucía centralVariación anual de régimen alimenticio y densidad de población de dos estrigiformes:sus causaslas Adeidas en la cuenca del Duero.Niveles de contaminantes organoclorados y metales pesados en huevos de aves de las Marismas del Guadalquivir, 1975Alimentación primaveral de la garcilla bueyera.la reproducción de un ave parásita: el tordomirlo (Molothrus bonariensis) en los llanos de Apure (Venezuela)Estructuras de sexos y edades en una poblaciónde conejos (Oryctolagus cunicuLus l.) de Andalucía OccidentaParámetros de gregarismo del gamo (Dama dama) en el Coto de Doñana.Primeros datos sobre la distribución de Cobitis calderoni Bacescu, 1961 (pisces, cobitidae) en la Península IbéricaSobre la existencia de Telestes soufia Risso, 1826 y Leuciscus leuciscus L. 1758 en España.La distrtibución de Hemidactylus turciscus en la provincia de Córdoba.Predación de Vipera latastei sobre Mustela nivalis.Sobre las poblaciones de Podarcis en el macizo del GuadarramaDatos sobre la reproducción de Lacerta vivipara en la cordillera CantábricaCasos de melanismo en Natrix natrix y Malpolon monspessulanusMedidas máximas para Coluber hippocrepis LUna nueva población de Lacerta sicula rafinesque para el norte de España.Captura de la barnacla carinegra, Branta bernicla en la costa mediterránea Europea.Datos sobre la dieta frugívora del mirlo (Turdus merula) en dos localidades del sur de EspañaLa ocupación de nidos de Hirundo daurica.La invasión de Hirunda daurica Temm. en la Península IbéricaHíbridos de anátidas en las marismas del GuadalquiviDatos sobre la reproducción de Alouatta seniculus en los Llanos de VenezuelaPeer reviewe

Computational approaches to explainable artificial intelligence: Advances in theory, applications and trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9th International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications.MCIU - Nvidia(UMA18-FEDERJA-084

Computational Approaches to Explainable Artificial Intelligence:Advances in Theory, Applications and Trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9 International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications

Infection Prevention and Control

AbstractHealthcare-associated infections (HAI) are adverse events exposing patients to a potentially avoidable risk of morbidity and mortality. Antimicrobial resistance (AMR) is increasingly contributing to the burden of HAIs and emerging as of the most alarming challenges for public health worldwide. Practically, harm mitigation and risk containment demand cross-sectional initiatives incorporate both approaches to infection prevention and control and methodologies from clinical risk management

Metodos de calculo de espesadores por ensayos discontinuos

SIGLEESSpai