659 research outputs found
Spatial and temporal variations of water repellency and probability of its occurrence in calcareous Mediterranean rangeland soils affected by fires
No full textAbstract not availableMerche B. Bodí, Isabel Muñoz-Santa, Carmen Armero, Stefan H. Doerr, Jorge Mataix-Solera, Artemi Cerd
Applications of machine learning in molecular simulations : Transcending barriers
No full textMolecular dynamics has established itself over the last years as a strong tool for structure-based molecular investigation in biology. Stefan Doerr's thesis concerns the application of machine learning methods to molecular dynamics data. The goal is twofold. To improve the sampling capabilities of molecular dynamics to allow for slower and more interesting biological processes to be studied and to improve the reproducibility, accessibility and power of molecular dynamics through the development of the required software tools. A great improvement in sampling speed is achieved in this thesis through the application and development of adaptive sampling methods. These allow the computer to build a model based on knowledge gathered from previous simulations and sample the configurational space in a more intelligent manner. On the other hand, through the development of the HTMD software which provides a unified framework for molecular discovery, the reproducibility of molecular experiments is increased, the access to MD research is simplified for new scientists and experiments can be easily performed in a high-throughput manner.La dinámica molecular se ha establecido durante los últimos años como una herramienta importante para la investigación estructural molecular en biología. La tesis de Stefan Doerr trata sobre la aplicación de métodos de aprendizaje automático a datos de simulaciones de dinámica molecular. Los objetivos de la tesis son dos. La mejora de la capacidad investigadora de procesos lentos en biología mediante dinámica molecular y el aumento de la reproducibilidad, accesibilidad y potencia de la dinámica molecular a través del desarrollo de las herramientas respectivas de software. En esta tesis se expone una gran aceleración de muestreo mediante el uso de métodos de muestreo adaptativos. En estos métodos, el ordenador puede construir un modelo basado en las simulaciones y muestrear el espacio configuracional de manera más inteligente. Por otra parte, a través del desarrollo del software HTMD, que provee una estructura unificada para descubrimiento molecular, se incrementa la reproducibilidad de la investigación con simulaciones moleculares, se reduce la curva de aprendizaje de la dinámica molecular para investigadores noveles y se simplifica el trabajo con simulaciones de alto rendimientPrograma de doctorat en Biomedicin
Applications of machine learning in molecular simulations : Transcending barriers
No full textMolecular dynamics has established itself over the last years as a strong tool for structure-based molecular investigation in biology. Stefan Doerr's thesis concerns the application of machine learning methods to molecular dynamics data. The goal is twofold. To improve the sampling capabilities of molecular dynamics to allow for slower and more interesting biological processes to be studied and to improve the reproducibility, accessibility and power of molecular dynamics through the development of the required software tools. A great improvement in sampling speed is achieved in this thesis through the application and development of adaptive sampling methods. These allow the computer to build a model based on knowledge gathered from previous simulations and sample the configurational space in a more intelligent manner. On the other hand, through the development of the HTMD software which provides a unified framework for molecular discovery, the reproducibility of molecular experiments is increased, the access to MD research is simplified for new scientists and experiments can be easily performed in a high-throughput manner.La dinámica molecular se ha establecido durante los últimos años como una herramienta importante para la investigación estructural molecular en biología. La tesis de Stefan Doerr trata sobre la aplicación de métodos de aprendizaje automático a datos de simulaciones de dinámica molecular. Los objetivos de la tesis son dos. La mejora de la capacidad investigadora de procesos lentos en biología mediante dinámica molecular y el aumento de la reproducibilidad, accesibilidad y potencia de la dinámica molecular a través del desarrollo de las herramientas respectivas de software. En esta tesis se expone una gran aceleración de muestreo mediante el uso de métodos de muestreo adaptativos. En estos métodos, el ordenador puede construir un modelo basado en las simulaciones y muestrear el espacio configuracional de manera más inteligente. Por otra parte, a través del desarrollo del software HTMD, que provee una estructura unificada para descubrimiento molecular, se incrementa la reproducibilidad de la investigación con simulaciones moleculares, se reduce la curva de aprendizaje de la dinámica molecular para investigadores noveles y se simplifica el trabajo con simulaciones de alto rendimientPrograma de doctorat en Biomedicin
An Evening with Anthony Doerr
No full textShaker Library and University School are proud to present Pulitzer Prize-winning author Anthony Doerr, author of All the Light We Cannot See and a University School alumnus. He will speak at the University School Lower Campus in Shaker Heights. Tickets sold out in two days, but his lecture will be live streamed to the Main Library. Please register at www.shakerlibrary.org beginning October 5, 201
Global trends in wildfire and its impacts: perceptions versus realities in a changing world
No full textWildfire has been an important process affecting the Earth's surface and atmosphere for over 350 million years and human societies have coexisted with fire since their emergence. Yet many consider wildfire as an accelerating problem, with widely held perceptions both in the media and scientific papers of increasing fire occurrence, severity and resulting losses. However, important exceptions aside, the quantitative evidence available does not support these perceived overall trends. Instead, global area burned appears to have overall declined over past decades, and there is increasing evidence that there is less fire in the global landscape today than centuries ago. Regarding fire severity, limited data are available. For the western USA, they indicate little change overall, and also that area burned at high severity has overall declined compared to pre-European settlement. Direct fatalities from fire and economic losses also show no clear trends over the past three decades. Trends in indirect impacts, such as health problems from smoke or disruption to social functioning, remain insufficiently quantified to be examined. Global predictions for increased fire under a warming climate highlight the already urgent need for a more sustainable coexistence with fire. The data evaluation presented here aims to contribute to this by reducing misconceptions and facilitating a more informed understanding of the realities of global fire.This article is part of themed issue 'The interaction of fire and mankind'.C.S. has been supported by a Leverhulme Trust Grant (RPG-2014-095).Peer reviewe
Applications of machine learning in molecular simulations : Transcending barriers
No full textMolecular dynamics has established itself over the last years as a strong tool for structure-based molecular investigation in biology. Stefan Doerr's thesis concerns the application of machine learning methods to molecular dynamics data. The goal is twofold. To improve the sampling capabilities of molecular dynamics to allow for slower and more interesting biological processes to be studied and to improve the reproducibility, accessibility and power of molecular dynamics through the development of the required software tools. A great improvement in sampling speed is achieved in this thesis through the application and development of adaptive sampling methods. These allow the computer to build a model based on knowledge gathered from previous simulations and sample the configurational space in a more intelligent manner. On the other hand, through the development of the HTMD software which provides a unified framework for molecular discovery, the reproducibility of molecular experiments is increased, the access to MD research is simplified for new scientists and experiments can be easily performed in a high-throughput manner.La dinámica molecular se ha establecido durante los últimos años como una herramienta importante para la investigación estructural molecular en biología. La tesis de Stefan Doerr trata sobre la aplicación de métodos de aprendizaje automático a datos de simulaciones de dinámica molecular. Los objetivos de la tesis son dos. La mejora de la capacidad investigadora de procesos lentos en biología mediante dinámica molecular y el aumento de la reproducibilidad, accesibilidad y potencia de la dinámica molecular a través del desarrollo de las herramientas respectivas de software. En esta tesis se expone una gran aceleración de muestreo mediante el uso de métodos de muestreo adaptativos. En estos métodos, el ordenador puede construir un modelo basado en las simulaciones y muestrear el espacio configuracional de manera más inteligente. Por otra parte, a través del desarrollo del software HTMD, que provee una estructura unificada para descubrimiento molecular, se incrementa la reproducibilidad de la investigación con simulaciones moleculares, se reduce la curva de aprendizaje de la dinámica molecular para investigadores noveles y se simplifica el trabajo con simulaciones de alto rendimientPrograma de doctorat en Biomedicin
Application of acute maximal exercise to protect orthostatic tolerance after simulated microgravity
No full text Pages R837–R847: K. A. Engelke, D. F. Doerr, and V. A. Convertino. “Application of acute maximal exercise to protect orthostatic tolerance after simulated microgravity.” On p. 837, the author line of the article and abstract and the affiliation line should read as follows: KEITH A. ENGELKE, DONALD F. DOERR, CRAIG G. CRANDALL, AND VICTOR A. CONVERTINO Department of Physiology, University of Florida, Gainesville, Florida 32610; National Aeronautics and Space Administration-Kennedy Space Center, Cape Canaveral, Florida 32899; Department of Physiology, University of North Texas Health Science Center, Ft. Worth, Texas 76107; and Physiology Research Branch, Clinical Science Division, Brooks Air Force Base, Texas 78235 </jats:p
Application of acute maximal exercise to protect orthostatic tolerance after simulated microgravity
No full text Pages R837–R847: K. A. Engelke, D. F. Doerr, and V. A. Convertino. “Application of acute maximal exercise to protect orthostatic tolerance after simulated microgravity.” On p. 837, the author line of the article and abstract and the affiliation line should read as follows: KEITH A. ENGELKE, DONALD F. DOERR,CRAIG G. CRANDALL, AND VICTOR A. CONVERTINO Department of Physiology, University of Florida, Gainesville, Florida 32610; National Aeronautics and Space Administration-Kennedy Space Center, Cape Canaveral, Florida 32899;Department of Physiology, University of North Texas Health Science Center, Ft. Worth, Texas 76107; and Physiology Research Branch, Clinical Science Division, Brooks Air Force Base, Texas 78235 </jats:p
Constructing the Heritage Language Learner : Knowledge, Power and New Subjectivities /
No full textThough often treated as an objective category, heritage language learner is a social construct contested by researchers, government officials, school administrators, and students themselves. Based on ethnographic fieldwork at a Japanese language school in the US, the book examines the construction of the heritage language learner, viewing the notion as a site of negotiation regarding the legitimate knowledge of language and ways of belonging.Though often treated as an objective category, heritage language learner is a social construct contested by researchers, government officials, school administrators, and students themselves. Based on ethnographic fieldwork at a Japanese language school in the US, the book examines the construction of the heritage language learner, viewing the notion as a site of negotiation regarding the legitimate knowledge of language and ways of belonging.Electronic reproduction.Mode of access: Internet via World Wide Web.Neriko Musha Doerr, Ramapo College, USA; Kiri Lee, Lehigh University, USA.Description based on online resource; title from PDF title page (publisher’s Web site, viewed March 24, 2015
Regional Differences in Heart Failure-related Hospitalization and Hospital Mortality in Germany
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