Zobrazeno 1 - 10
of 1 198
pro vyhledávání: '"LEE, DIANA"'
Autor:
Lee, Diana Dodson
Publikováno v:
Chasqui, 2024 May 01. 53(1), 189-210.
Externí odkaz:
https://www.jstor.org/stable/27305038
Autor:
Lee, Diana Sution
Esta dissertação tem como objetivo a análise do sonho americano em Pins and Needles. Criada na cidade de Nova Iorque em 1937 por dramaturgos ligados ao teatro de esquerda, a peça espalhou-se pelos Estados Unidos, angariou trabalhadores para os si
Autor:
Sit, Janet WH, Chair, Sek Ying, Choi, KC, Chan, Carmen WH, Lee, Diana TF, Chan, Aileen WK, Cheung, Jo LK, Tang, Siu Wai, Chan, Po Shan, Taylor-Piliae, Ruth E
Background: Self-management after a stroke is a challenge because of multifaceted care needs and complex disabling consequences that cause further hindrance to patient participation. A 13-week stroke patient empowerment intervention (Health Empowerme
Externí odkaz:
http://hdl.handle.net/10150/621999
http://arizona.openrepository.com/arizona/handle/10150/621999
http://arizona.openrepository.com/arizona/handle/10150/621999
Autor:
Shen, Xiaoai, Dizon, John Ian Wilzon T., Chong, Yin Kei Doris, He, Qing, Fonseca, Gui, Kwok, Tai On Tyrone, Luk, Pauline, Chan, Sarah S.C., Lee, Diana, Ng, Lai Han Zoe, Orlu, Mine, Ng, Terry Tin Wai, Tipoe, George L., Ganotice, Fraide A., Jr
Publikováno v:
In Nurse Education Today October 2024 141
Autor:
Dodson Lee, Diana1
Publikováno v:
Chasqui (01458973). may2024, Vol. 53 Issue 1, p189-209. 21p.
Autor:
Kalfus, William D., Lee, Diana F., Ribeill, Guilhem J., Fallek, Spencer D., Wagner, Andrew, Donovan, Brian, Ristè, Diego, Ohki, Thomas A.
Publikováno v:
IEEE Transactions on Quantum Engineering, vol. 1, pp. 1-12, 2020, Art no. 6002612
Control electronics for superconducting quantum processors have strict requirements for accurate command of the sensitive quantum states of their qubits. Hinging on the purity of ultra-phase-stable oscillators to upconvert very-low-noise baseband pul
Externí odkaz:
http://arxiv.org/abs/2008.02873
Akademický článek
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Autor:
Schwarzer, Max, Rogan, Bryce, Ruan, Yadong, Song, Zhengming, Lee, Diana Y., Percus, Allon G., Chau, Viet T., Moore, Bryan A., Rougier, Esteban, Viswanathan, Hari S., Srinivasan, Gowri
Publikováno v:
Computational Materials Science 162, 322-332 (2019)
We propose a machine learning approach to address a key challenge in materials science: predicting how fractures propagate in brittle materials under stress, and how these materials ultimately fail. Our methods use deep learning and train on simulati
Externí odkaz:
http://arxiv.org/abs/1810.06118
Publikováno v:
In International Journal of Nursing Studies October 2022 134
Publikováno v:
EduAdvance: Journal of Advancements in Education (JAE); ara2024, Vol. 2 Issue 1, p1-14, 14p