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1.
Large libraries of single-chain trimer peptide-MHCs enable antigen-specific CD8+ T cell discovery and analysis.
Commun Biol
; 6(1): 528, 2023 05 16.
Article
in English
| MEDLINE | ID: mdl-37193826
2.
Large libraries of single-chain trimer peptide-MHCs enable rapid antigen-specific CD8+ T cell discovery and analysis.
Res Sq
; 2022 Nov 18.
Article
in English
| MEDLINE | ID: mdl-36415462
3.
Targeting an alternate Wilms' tumor antigen 1 peptide bypasses immunoproteasome dependency.
Sci Transl Med
; 14(631): eabg8070, 2022 02 09.
Article
in English
| MEDLINE | ID: mdl-35138909
4.
Hospital response to acute-onset disasters: the state of the science in 2005.
Nurs Clin North Am
; 40(3): 565-77, x, 2005 Sep.
Article
in English
| MEDLINE | ID: mdl-16112000
5.
Reaching beyond the familiar.
Reflect Nurs Leadersh
; 31(2): 10-5, 42, 2005.
Article
in English
| MEDLINE | ID: mdl-16050384
6.
HITECH spurs EHR vendor competition and innovation, resulting in increased adoption.
Am J Manag Care
; 20(9): 734-40, 2014 Sep.
Article
in English
| MEDLINE | ID: mdl-25365748
7.
The effects of low-dose irradiation on inflammatory response proteins in a 3D reconstituted human skin tissue model.
Radiat Res
; 178(6): 591-9, 2012 Dec.
Article
in English
| MEDLINE | ID: mdl-23030811
8.
Reality check. How prepared are we for disasters?
Am J Nurs
; 106(3): 13, 2006 Mar.
Article
in English
| MEDLINE | ID: mdl-16534365
9.
Making the decision to report to work in a disaster: Nurses may have conflicting obligations.
Am J Nurs
; 106(9): 54-7, 2006 Sep.
Article
in English
| MEDLINE | ID: mdl-16954765
10.
Failure: lessons for health care leaders.
Nurs Econ
; 20(5): 225-8, 231, 2002.
Article
in English
| MEDLINE | ID: mdl-12382540
11.
Willingness of health care personnel to work in a disaster: an integrative review of the literature.
Disaster Med Public Health Prep
; 3(1): 42-56, 2009 Mar.
Article
in English
| MEDLINE | ID: mdl-19293743
12.
A model of nursing as a complex adaptive system.
Nurs Outlook
; 55(5): 232-241, 2007.
Article
in English
| MEDLINE | ID: mdl-17950117
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