scispace - formally typeset
Search or ask a question
Institution

University of Kansas

EducationLawrence, Kansas, United States
About: University of Kansas is a education organization based out in Lawrence, Kansas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 38183 authors who have published 81381 publications receiving 2986312 citations. The organization is also known as: KU & Univ of Kansas.


Papers
More filters
Journal ArticleDOI
TL;DR: It is found that ZipA, like FtsA, is required for recruitment of FtsK and therefore all downstream division proteins, but either one is capable of supporting formation and stabilization of Z rings.
Abstract: ZipA and FtsA are essential division proteins in Escherichia coli that are recruited to the division site by interaction with FtsZ. Utilizing a newly isolated temperature-sensitive mutation in zipA we have more fully characterized the role of ZipA. We confirmed that ZipA is not required for Z ring formation; however, we found that ZipA, like FtsA, is required for recruitment of FtsK and therefore all downstream division proteins. In the absence of FtsA or ZipA Z rings formed; however, in the absence of both, new Z rings were unable to form and preformed Z rings were destabilized. Consistent with this, we found that an FtsZ mutant unable to interact with both ZipA and FtsA was unable to assemble into Z rings. These results demonstrate that ZipA and FtsA are both required for recruitment of additional division proteins to the Z ring, but either one is capable of supporting formation and stabilization of Z rings.

411 citations

Posted Content
TL;DR: In this article, the authors apply the model to annual panel data for publicly traded U.S. bank holding companies from 1992 through 2006, an extended period of increasing bank capital that ended just before the subprime credit crisis of 2007-2008.
Abstract: U.S. banks hold significantly more equity capital than required by their regulators. We test competing hypotheses regarding the reasons for this “excess” capital, using an innovative partial adjustment approach that allows estimated BHC-specific capital targets and adjustment speeds to vary with firm-specific characteristics. We apply the model to annual panel data for publicly traded U.S. bank holding companies (BHCs) from 1992 through 2006, an extended period of increasing bank capital that ended just before the subprime credit crisis of 2007–2008. The evidence suggests that BHCs actively managed their capital ratios (as opposed to passively allowing capital to build up via retained earnings), set target capital levels substantially above well-capitalized regulatory minima, and (especially poorly capitalized BHCs) made rapid adjustments toward their targets.

410 citations

Journal ArticleDOI
TL;DR: The preliminary data suggest that the strain image sequences for various breast pathologies are unique, and that a comparison of the lesion area measured in B-mode vs. strain images appears to be a sensitive criterion for separating invasive ductal carcinoma from cyst and fibroadenoma.
Abstract: Previous experience with laboratory fixtures and off-line processing of elasticity data showed that problems occurring in data acquisition often resulted in poor elasticity image quality. A system for real-time estimation and display of tissue elastic properties using a clinical ultrasonic imaging system has been developed. A brief description of that system and the initial clinical tests of that system are reported. Experience with real-time freehand elasticity imaging shows that images with high contrast-to-noise ratios are consistently obtained. Images of breast lesions were acquired with freehand palpation using standard linear-array ultrasound (US) transducers. Results in volunteer patients show that high-quality elasticity images are easily obtained from in vivo breast studies. The key element to successful scanning is real-time visual feedback of B-mode and strain images that guide the patient positioning and compression direction. Results show that individual images of axial strain in tissues can be quite misleading, and that a "movie loop" of side-by-side B-mode and strain images provides significantly more information. Our preliminary data suggest that the strain image sequences for various breast pathologies are unique. For example, strain images of fibroadenomas lose contrast with increasing precompression, but those of invasive ductal carcinoma have high negative contrast (dark relative to "normal" tissue) for a wide range of precompression. In addition, a comparison of the lesion area measured in B-mode vs. strain images, for a representative image from the sequence, appears to be a sensitive criterion for separating invasive ductal carcinoma from cyst and fibroadenoma.

410 citations


Authors

Showing all 38401 results

NameH-indexPapersCitations
Gordon H. Guyatt2311620228631
Krzysztof Matyjaszewski1691431128585
Wei Li1581855124748
David Tilman158340149473
Tomas Hökfelt158103395979
Pete Smith1562464138819
Daniel J. Rader1551026107408
Melody A. Swartz1481304103753
Kevin Murphy146728120475
Carlo Rovelli1461502103550
Stephen Sanders1451385105943
Marco Zanetti1451439104610
Andrei Gritsan1431531135398
Gunther Roland1411471100681
Joseph T. Hupp14173182647
Network Information
Related Institutions (5)
University of Minnesota
257.9K papers, 11.9M citations

96% related

Yale University
220.6K papers, 12.8M citations

95% related

University of Washington
305.5K papers, 17.7M citations

95% related

Duke University
200.3K papers, 10.7M citations

95% related

University of Michigan
342.3K papers, 17.6M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202391
2022358
20214,211
20204,204
20193,766
20183,485