Zobrazeno 1 - 5
of 5
pro vyhledávání: '"John P. Halloran"'
Publikováno v:
BMJ Neurology Open, Vol 3, Iss 2 (2021)
Objective To present a case of two identical twins presenting concurrently with symptoms and subsequent initial diagnosis of neuromyelitis optica spectrum disorder (NMOSD).Methods Clinical, laboratory and MRI findings for both twins were reviewed and
Externí odkaz:
https://doaj.org/article/e96267a6ebbd40c5a461c7b7445e3a76
Autor:
Jie Liu, John T. Halloran, Jeffrey A. Bilmes, Riza M. Daza, Choli Lee, Elisabeth M. Mahen, Donna Prunkard, Chaozhong Song, Sibel Blau, Michael O. Dorschner, Vijayakrishna K. Gadi, Jay Shendure, C. Anthony Blau, William S. Noble
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-13 (2017)
Abstract A comprehensive characterization of tumor genetic heterogeneity is critical for understanding how cancers evolve and escape treatment. Although many algorithms have been developed for capturing tumor heterogeneity, they are designed for anal
Externí odkaz:
https://doaj.org/article/c58b18b457184aafaf83bba3e97a5fdf
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0133583 (2015)
Quantification of spatial and temporal changes in forest cover is an essential component of forest monitoring programs. Due to its cloud free capability, Synthetic Aperture Radar (SAR) is an ideal source of information on forest dynamics in countries
Externí odkaz:
https://doaj.org/article/53d017750e2847529b6f12d749bb3954
Autor:
John P. Halloran
Publikováno v:
Information Systems Management. 10:7-12
Given the amount of money companies spend on end-user computing (EUC) and the impact local area networks have had on organizations, it is essential for companies to develop better practices for managing the EUC environment. Clear domains of responsib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdfed8bd4c917fb8d8cd386335445425
https://doi.org/10.1080/10580539308906951
https://doi.org/10.1080/10580539308906951
Autor:
Lee H. Schick, John P. Halloran
Publikováno v:
Nuclear Physics A. 431:189-204
A maximum-entropy method of data analysis previously applied in astrophysics is adapted to the problem of obtaining the shape of a central potential from noisy scattering-amplitude data. The method is applied to a simplified nucleon-nucleon scatterin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6939a648efe19eb5ff52cac0ba1e172d
https://doi.org/10.1016/0375-9474(84)90170-2
https://doi.org/10.1016/0375-9474(84)90170-2