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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Use of self-inflating bags for neonatal resuscitation

Oddie, S.J., Wylie, J., Scally, Andy J. January 2005 (has links)
Lung inflation is the most important, and most difficult step in newborn resuscitation. A wide variety of devices are used to achieve lung inflation, but there are relatively few data to guide clinicians in their choice of device. Methods: We tested the ability of instructors and trained candidates on a newborn life support course to deliver initial inflation breaths to a test lung, using a pressure limited blow-off valve, a 240-ml self-inflating bag and a 500-ml self-inflating bag in sequence. Results: Use of a 240-ml self-inflating bag was associated with shorter initial inflations of 1.8 s mean (95% CI 1.60¿1.99 s), compared with 2.42 s (2.24¿2.61 s), 2.40 s (2.08¿2.71 s) for 500-ml self-inflating bags and ¿Tom Thumb¿ T piece, respectively. Delivery of breaths within a target pressure range of 30 ± 5 cm H2O was significantly better using a T piece than either self-inflating bag (proportion within target range 0.05 (95% CI 0¿0.11), 0.17 (95% CI 0.12¿0.23), 0.89 (95% CI 0.83¿0.94) for 240-ml and 500-ml self-inflating bags and ¿Tom Thumb¿ T piece, respectively. Excessive pressure delivery with both sizes of self-inflating bag was frequent. Conclusions: These data do not support use of 240-ml or 500-ml self-inflating bags for resuscitation of newborn term infants. A variable pressure T piece blow-off system may be the easiest device to use for newborn resuscitation and the most reliable at delivering desired pressures for set times.
2

The role of structural factors underlying incidences of extreme opportunism in financial markets

Bruce, Johannes Conradie 30 September 2007 (has links)
A sociological approach is used to analyze incidences of extreme opportunism in financial markets. Through an analysis of arguably the most widely publicized "rogue" trader events in recent history, a determination is made of the validity of explaining these events as aberrations, attributable to the actions of "rogues". The primary focus is the role of structural factors underlying these incidences of extreme opportunism in financial markets. A diverse range of documentary and other sources is used to avoid any form of bias as far as possible. It was found that structural factors act as countervailing forces to inhibit such behavior or as motivators and facilitators acting as catalysts for extreme opportunism. The balance between these factors largely determines the level of opportunistic behavior in a particular environment. Extreme opportunism is therefore not an aberration or "rogue" occurrence but a manageable phenomenon intrinsic to the social structural context within which it occurs. By conceptualizing these factors as countervailing forces one is forced to view structural factors, like compensation structures and formal and informal restraints, relative to one another and no longer in isolation. This realization translates into the conclusion that restraints and oversight systems for example, should be designed relative to the relevant motivators and facilitators in its area of application. In an environment where traders of highly geared financial products are motivated with multimillion USD incentive packages, a low budget oversight system and inexperienced regulatory staff, is clearly not the appropriate tools to control and manage extreme opportunism. / Criminology / D.Phil. (Sociology)
3

The role of structural factors underlying incidences of extreme opportunism in financial markets

Bruce, Johannes Conradie 30 September 2007 (has links)
A sociological approach is used to analyze incidences of extreme opportunism in financial markets. Through an analysis of arguably the most widely publicized "rogue" trader events in recent history, a determination is made of the validity of explaining these events as aberrations, attributable to the actions of "rogues". The primary focus is the role of structural factors underlying these incidences of extreme opportunism in financial markets. A diverse range of documentary and other sources is used to avoid any form of bias as far as possible. It was found that structural factors act as countervailing forces to inhibit such behavior or as motivators and facilitators acting as catalysts for extreme opportunism. The balance between these factors largely determines the level of opportunistic behavior in a particular environment. Extreme opportunism is therefore not an aberration or "rogue" occurrence but a manageable phenomenon intrinsic to the social structural context within which it occurs. By conceptualizing these factors as countervailing forces one is forced to view structural factors, like compensation structures and formal and informal restraints, relative to one another and no longer in isolation. This realization translates into the conclusion that restraints and oversight systems for example, should be designed relative to the relevant motivators and facilitators in its area of application. In an environment where traders of highly geared financial products are motivated with multimillion USD incentive packages, a low budget oversight system and inexperienced regulatory staff, is clearly not the appropriate tools to control and manage extreme opportunism. / Criminology and Security Science / D.Phil. (Sociology)
4

Termomechanický model pneumatiky / Thermomechanical tire model

Vaníček, Jan January 2021 (has links)
This diploma thesis is about thermomechanics of passenger car tires. The research part dealing with existing tire models is followed by the practical part. The practical part is based on the designs of thermomechanical models. The first model determines a dependence of temperature on the air pressure inside a tire when a temperature changes. The second thermomechanical model captures all the heat fluxes which affect a tire while a vehicle is in motion. The third thermomechanical model calculates temperatures of parts of the tire during driving tests. All models are programmed in MATLAB.

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