Author: T.E. Sicking
Publisher:
ISBN:
Category : Airplanes
Languages : en
Pages : 12
Book Description
Pre-test Predictions
Author: T.E. Sicking
Publisher:
ISBN:
Category : Airplanes
Languages : en
Pages : 12
Book Description
Publisher:
ISBN:
Category : Airplanes
Languages : en
Pages : 12
Book Description
Duck on a Bike
Author: David Shannon
Publisher: Scholastic Inc.
ISBN: 0545530032
Category : Juvenile Fiction
Languages : en
Pages : 42
Book Description
In this off-beat book perfect for reading aloud, a Caldecott Honor winner shares the story of a duck who rides a bike with hilarious results. One day down on the farm, Duck got a wild idea. “I bet I could ride a bike,” he thought. He waddled over to where the boy parked his bike, climbed on, and began to ride. At first, he rode slowly and he wobbled a lot, but it was fun! Duck rode past Cow and waved to her. “Hello, Cow!” said Duck. “Moo,” said Cow. But what she thought was, “A duck on a bike? That’s the silliest thing I’ve ever seen!” And so, Duck rides past Sheep, Horse, and all the other barnyard animals. Suddenly, a group of kids ride by on their bikes and run into the farmhouse, leaving the bikes outside. Now ALL the animals can ride bikes, just like Duck! Praise for Duck on a Bike “Shannon serves up a sunny blend of humor and action in this delightful tale of a Duck who spies a red bicycle one day and gets “a wild idea” . . . Add to all this the abundant opportunity for youngsters to chime in with barnyard responses (“M-o-o-o”; “Cluck! Cluck!”), and the result is one swell read-aloud, packed with freewheeling fun.” —Publishers Weekly “Grab your funny bone—Shannon . . . rides again! . . . A “quackerjack” of a terrific escapade.” —Kirkus Reviews
Publisher: Scholastic Inc.
ISBN: 0545530032
Category : Juvenile Fiction
Languages : en
Pages : 42
Book Description
In this off-beat book perfect for reading aloud, a Caldecott Honor winner shares the story of a duck who rides a bike with hilarious results. One day down on the farm, Duck got a wild idea. “I bet I could ride a bike,” he thought. He waddled over to where the boy parked his bike, climbed on, and began to ride. At first, he rode slowly and he wobbled a lot, but it was fun! Duck rode past Cow and waved to her. “Hello, Cow!” said Duck. “Moo,” said Cow. But what she thought was, “A duck on a bike? That’s the silliest thing I’ve ever seen!” And so, Duck rides past Sheep, Horse, and all the other barnyard animals. Suddenly, a group of kids ride by on their bikes and run into the farmhouse, leaving the bikes outside. Now ALL the animals can ride bikes, just like Duck! Praise for Duck on a Bike “Shannon serves up a sunny blend of humor and action in this delightful tale of a Duck who spies a red bicycle one day and gets “a wild idea” . . . Add to all this the abundant opportunity for youngsters to chime in with barnyard responses (“M-o-o-o”; “Cluck! Cluck!”), and the result is one swell read-aloud, packed with freewheeling fun.” —Publishers Weekly “Grab your funny bone—Shannon . . . rides again! . . . A “quackerjack” of a terrific escapade.” —Kirkus Reviews
SSC.
Author: United States. Ship Structure Committee
Publisher:
ISBN:
Category : Naval research
Languages : en
Pages : 284
Book Description
Publisher:
ISBN:
Category : Naval research
Languages : en
Pages : 284
Book Description
Mighty Epic Pre-Test Analysis
Author: J. Crawford
Publisher:
ISBN:
Category :
Languages : en
Pages : 97
Book Description
Analytical response predictions (pre-shot) are made for three structures that are to be evaluated during the Mighty Epic tests. Also included in the report is a prediction of the response for the free field and for the free field containing a cavity, as well as a study of the effects that various idealization parameters have on the predicted results. The objective of this study is to analytically predict (pre-shot) the response of three structures that are in place at the Mighty Epic test site. These structures consist of: (1) homogeneous sphere; (2) composite built-up liner, and (3) composite integral liner. These three structures are situated in a relatively weak rock (tuff) at the 0.5-Kbar range. Included in the study is a prediction of the response for the free field (i.e., tuff) and for the tuff containing a six-foot diameter cylindrical cavity. Also reported are the effects that the various parameters associated with the predictions have on the results.
Publisher:
ISBN:
Category :
Languages : en
Pages : 97
Book Description
Analytical response predictions (pre-shot) are made for three structures that are to be evaluated during the Mighty Epic tests. Also included in the report is a prediction of the response for the free field and for the free field containing a cavity, as well as a study of the effects that various idealization parameters have on the predicted results. The objective of this study is to analytically predict (pre-shot) the response of three structures that are in place at the Mighty Epic test site. These structures consist of: (1) homogeneous sphere; (2) composite built-up liner, and (3) composite integral liner. These three structures are situated in a relatively weak rock (tuff) at the 0.5-Kbar range. Included in the study is a prediction of the response for the free field (i.e., tuff) and for the tuff containing a six-foot diameter cylindrical cavity. Also reported are the effects that the various parameters associated with the predictions have on the results.
Virtual Testing and Predictive Modeling
Author: Bahram Farahmand
Publisher: Springer Science & Business Media
ISBN: 0387959246
Category : Science
Languages : en
Pages : 420
Book Description
Thematerialsusedinmanufacturingtheaerospace,aircraft,automobile,andnuclear parts have inherent aws that may grow under uctuating load environments during the operational phase of the structural hardware. The design philosophy, material selection, analysis approach, testing, quality control, inspection, and manufacturing are key elements that can contribute to failure prevention and assure a trouble-free structure. To have a robust structure, it must be designed to withstand the envir- mental load throughout its service life, even when the structure has pre-existing aws or when a part of the structure has already failed. If the design philosophy of the structure is based on the fail-safe requirements, or multiple load path design, partial failure of a structural component due to crack propagation is localized and safely contained or arrested. For that reason, proper inspection technique must be scheduled for reusable parts to detect the amount and rate of crack growth, and the possible need for repairing or replacement of the part. An example of a fail-sa- designed structure with crack-arrest feature, common to all aircraft structural parts, is the skin-stiffened design con guration. However, in other cases, the design p- losophy has safe-life or single load path feature, where analysts must demonstrate that parts have adequate life during their service operation and the possibility of catastrophic failure is remote. For example, all pressurized vessels that have single load path feature are classi ed as high-risk parts. During their service operation, these tanks may develop cracks, which will grow gradually in a stable manner.
Publisher: Springer Science & Business Media
ISBN: 0387959246
Category : Science
Languages : en
Pages : 420
Book Description
Thematerialsusedinmanufacturingtheaerospace,aircraft,automobile,andnuclear parts have inherent aws that may grow under uctuating load environments during the operational phase of the structural hardware. The design philosophy, material selection, analysis approach, testing, quality control, inspection, and manufacturing are key elements that can contribute to failure prevention and assure a trouble-free structure. To have a robust structure, it must be designed to withstand the envir- mental load throughout its service life, even when the structure has pre-existing aws or when a part of the structure has already failed. If the design philosophy of the structure is based on the fail-safe requirements, or multiple load path design, partial failure of a structural component due to crack propagation is localized and safely contained or arrested. For that reason, proper inspection technique must be scheduled for reusable parts to detect the amount and rate of crack growth, and the possible need for repairing or replacement of the part. An example of a fail-sa- designed structure with crack-arrest feature, common to all aircraft structural parts, is the skin-stiffened design con guration. However, in other cases, the design p- losophy has safe-life or single load path feature, where analysts must demonstrate that parts have adequate life during their service operation and the possibility of catastrophic failure is remote. For example, all pressurized vessels that have single load path feature are classi ed as high-risk parts. During their service operation, these tanks may develop cracks, which will grow gradually in a stable manner.
Assessment of Diagnostic Technology in Health Care
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 030904099X
Category : Medical
Languages : en
Pages : 152
Book Description
Technology assessment can lead to the rapid application of essential diagnostic technologies and prevent the wide diffusion of marginally useful methods. In both of these ways, it can increase quality of care and decrease the cost of health care. This comprehensive monograph carefully explores methods of and barriers to diagnostic technology assessment and describes both the rationale and the guidelines for meaningful evaluation. While proposing a multi-institutional approach, it emphasizes some of the problems involved and defines a mechanism for improving the evaluation and use of medical technology and essential resources needed to enhance patient care.
Publisher: National Academies Press
ISBN: 030904099X
Category : Medical
Languages : en
Pages : 152
Book Description
Technology assessment can lead to the rapid application of essential diagnostic technologies and prevent the wide diffusion of marginally useful methods. In both of these ways, it can increase quality of care and decrease the cost of health care. This comprehensive monograph carefully explores methods of and barriers to diagnostic technology assessment and describes both the rationale and the guidelines for meaningful evaluation. While proposing a multi-institutional approach, it emphasizes some of the problems involved and defines a mechanism for improving the evaluation and use of medical technology and essential resources needed to enhance patient care.
The Role of Prediction in Training with a Simulated Orbital Docking Task
Author: Charles R. Kelley
Publisher:
ISBN:
Category : Orbital rendezvous (Space flight)
Languages : en
Pages : 122
Book Description
A review of the literature relating to the role of prediction in manual control resulted in substantial evidence indicating that learning to control vehicles in complex maneuvers such as orbital docking is primarily a matter of learning to predict the future states of the vehicle. The purpose of this project was to: (a) investigate the relation between the ability to predict and manual control skill, and (b) determine the effect of prediction training on learning vehicular control. Two simulated docking experiments were performed. The results supported the hypothesis that ability to control is highly correlated with ability to predict. It was also demonstrated that while prediction training alone is no more effective than standard training, a combination of the two training methods appears to be much more effective than training in either control or prediction alone. It is therefore recommended that manual control training programs incorporate training in prediction. It is also recommended that associated training devices be revised or developed so as to incorporate means of training prediction skills and of measuring prediction capability. (Author).
Publisher:
ISBN:
Category : Orbital rendezvous (Space flight)
Languages : en
Pages : 122
Book Description
A review of the literature relating to the role of prediction in manual control resulted in substantial evidence indicating that learning to control vehicles in complex maneuvers such as orbital docking is primarily a matter of learning to predict the future states of the vehicle. The purpose of this project was to: (a) investigate the relation between the ability to predict and manual control skill, and (b) determine the effect of prediction training on learning vehicular control. Two simulated docking experiments were performed. The results supported the hypothesis that ability to control is highly correlated with ability to predict. It was also demonstrated that while prediction training alone is no more effective than standard training, a combination of the two training methods appears to be much more effective than training in either control or prediction alone. It is therefore recommended that manual control training programs incorporate training in prediction. It is also recommended that associated training devices be revised or developed so as to incorporate means of training prediction skills and of measuring prediction capability. (Author).
BWR Blowdown/emergency Core Cooling Fourteenth Quarterly Report
Author: D. L. Galyardt
Publisher:
ISBN:
Category : Boiling water reactors
Languages : en
Pages : 48
Book Description
Publisher:
ISBN:
Category : Boiling water reactors
Languages : en
Pages : 48
Book Description
NUREG/CR.
Author: U.S. Nuclear Regulatory Commission
Publisher:
ISBN:
Category : Nuclear energy
Languages : en
Pages : 48
Book Description
Publisher:
ISBN:
Category : Nuclear energy
Languages : en
Pages : 48
Book Description
Clinical Prediction Models
Author: Ewout W. Steyerberg
Publisher: Springer
ISBN: 3030163997
Category : Medical
Languages : en
Pages : 558
Book Description
The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies
Publisher: Springer
ISBN: 3030163997
Category : Medical
Languages : en
Pages : 558
Book Description
The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies