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This study extends earlier attribution research on leadership regard ing the "high-high" effective leader stereotype. Stories depicting man agers using either high-high or low-low leadership styles were rated by 859 business students. For both styles, when group performance was high, managers were seen as engaging in more initiating structure and consideration behavior than when performance was low. The high-high style was also evaluated more favorably than the low-low style, independent of the effect of performance. Combined with results from previous research, these results demonstrate that a view of the effective leader as high-high in behavior is a strongly-held implicit theory of leadership and not a myth as far as observers are concerned. Such a view can be used by leaders to their advantage.

Testimony issued by the Government Accountability Office with an abstract that begins "GAO audits and evaluations identify federal programs and operations that in some cases are high risk due to their greater vulnerabilities to fraud, waste, abuse, and mismanagement. Increasingly, GAO also has identified high-risk areas that are in need of broad-based transformations to address major economy, efficiency, or effectiveness challenges. Since 1990 with each new Congress, GAO has reported on its high-risk list. GAO's most recent update, in January 2005, presented the 109th Congress with the latest status of existing and new high-risk areas warranting attention by both the Congress and the administration. Lasting solutions to high-risk problems offer the potential to save billions of dollars, dramatically improve service to the American public, strengthen public confidence and trust in the performance and accountability of our national government, and ensure the ability of government to deliver on its promises."

Episode 488 of the Cyberlaw Podcast

The predicament facing higher education during the economic downturn is in some ways reminiscent of a scene from a 1994 episode of The Simpsons. Confirming the conventional wisdom that higher education expands when jobs are scarce, US college enrollment grew faster than usual during the recession, particularly at community colleges. Already, the savviest institutions are making a virtue of necessity as American higher education figures out how to do more with less. They're seeking new, improved, and less expensive solutions to everything from increasing access to improving how efficiently students learn, and they may emerge from the recession in a stronger position to adapt to the economic and technological challenges they had previously been slow to recognize. Adapted from the source document.

High speed video has been a significant tool for unraveling the quantitative and qualitative assessment of phenomena that is too fast to readily observe. It was first used in 1852 by William Henry Fox Talbot to settle a dispute with reference to the synchronous position of a horse's hooves while galloping. Since that time private industry, government, and enthusiasts have been measuring dynamic scenarios with high speed video. One challenge that faces the high speed video community is the dynamic range of the sensors. The dynamic range of the sensor is constrained to the bit depth of the analog to digital converter, the deep well capacity of the sensor site, and baseline noise. A typical high speed camera can span a 60 dB dynamic range, 1000:1, natively. More recently the dynamic range has been extended to about 80 dB utilizing different pixel acquisition methods. In this dissertation a method to extend the dynamic range will be presented and demonstrated to extend the dynamic range of a high speed camera system to over 170 dB, about 31,000,000:1. The proposed formation methodology is adaptable to any camera combination, and almost any needed dynamic range. The dramatic increase in the dynamic range is made possible through an adaptation of the current high dynamic range image formation methodologies. Due to the high cost of a high speed camera, a minimum number of cameras are desired to form a high dynamic range high speed video system. With a reduced number of cameras spanning a significant range, the errors on the formation process compound significantly relative to a normal high dynamic range image. The increase in uncertainty is created from the lack of relevant correlated information for final image formation, necessitating the development of a new formation methodology. In the proceeding text the problem statement and background information will be reviewed in depth. The development of a new weighting function, stochastic image formation process, tone map methodology, and optimized multi camera design will be presented. The proposed methodologies' effectiveness will be compared to current methods throughout the text and a final demonstration will be presented. ; Ph. D.