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Hermann G, Houri J, Connor M, Karunamuni R, Hsiao A, Noorbakhsh A, Simon A, Seibert T, Farid N, Rudie J, Hattangadi-Gluth J. 3D convolutional neural network for automated segmentation of intracranial metastases and organs at risk for brain SRS: Implications for treatment planning and longitudinal tracking. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Morgan TA, Rudie J, Zamani-Alavijeh M, Kuchuk AV, Orishchin N, Alema F, Osinsky A, Sleezer R, Salamo G, Ware ME. Band Offsets of the MOCVD-Grown β-(Al 0.21Ga 0.79) 2O 3/β-Ga 2O 3 (010) Heterojunction. ACS Appl Mater Interfaces 2022; 14:33944-33951. [PMID: 35848769 DOI: 10.1021/acsami.2c04177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The band offsets for the β-(Al0.21Ga0.79)2O3/β-Ga2O3 (010) heterojunction have been experimentally measured by X-ray photoelectron spectroscopy. High-quality β-(Al0.21Ga0.79)2O3 films were grown by metal-organic chemical vapor deposition for characterization. The indirect band gap of β-(Al0.21Ga0.79)2O3 was determined by optical transmission to be 4.69 ± 0.03 eV with a direct transition of 5.37 ± 0.03 eV, while β-Ga2O3 was confirmed to have an indirect band gap of 4.52 ± 0.03 eV with a direct transition of 4.94 ± 0.03 eV. The resulting band alignment at the heterojunction was determined to be of type II with the valence and conduction band edges of β-(Al0.21Ga0.79)2O3 being -0.26 ± 0.08 and 0.43 ± 0.08 eV, respectively, above those of β-Ga2O3 (010). These values can now be used to help better design and predict the performance of β-(AlxGa1-x)2O3 heterojunction-based devices.
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Affiliation(s)
- Timothy A Morgan
- Institute for Nanoscience and Engineering, University of Arkansas, 731 W Dickson Street, Fayetteville, Arkansas 72701, United States
- Naval Surface Warfare Center Crane, 300 HWY 361, Crane, Indiana 47522, United States
| | - Justin Rudie
- Institute for Nanoscience and Engineering, University of Arkansas, 731 W Dickson Street, Fayetteville, Arkansas 72701, United States
| | - Mohammad Zamani-Alavijeh
- Institute for Nanoscience and Engineering, University of Arkansas, 731 W Dickson Street, Fayetteville, Arkansas 72701, United States
- Physics Department, University of Arkansas, 835 W Dickson Street, Fayetteville, Arkansas 72701, United States
| | - Andrian V Kuchuk
- Institute for Nanoscience and Engineering, University of Arkansas, 731 W Dickson Street, Fayetteville, Arkansas 72701, United States
| | - Nazar Orishchin
- Agnitron Technology Incorporated, Chanhassen, Minnesota 55317, United States
| | - Fikadu Alema
- Agnitron Technology Incorporated, Chanhassen, Minnesota 55317, United States
| | - Andrei Osinsky
- Agnitron Technology Incorporated, Chanhassen, Minnesota 55317, United States
| | - Robert Sleezer
- Twin Cities Engineering, Minnesota State University, Mankato, 9700 France Avenue, Suite P0820, Bloomington, Minnesota 55431, United States
| | - Gregory Salamo
- Institute for Nanoscience and Engineering, University of Arkansas, 731 W Dickson Street, Fayetteville, Arkansas 72701, United States
| | - Morgan E Ware
- Institute for Nanoscience and Engineering, University of Arkansas, 731 W Dickson Street, Fayetteville, Arkansas 72701, United States
- Department of Electrical Engineering, University of Arkansas, 4183 Bell Engineering Center, Fayetteville, Arkansas 72701, United States
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Abstract
We examined the effect of no music, classical music or rock music on simulated patient monitoring. Twenty-four non-anaesthetist participants with high or low levels of musical training were trained to monitor visual and auditory displays of patients' vital signs. In nine anaesthesia test scenarios, participants were asked every 50-70 s whether one of five vital signs was abnormal and the trend of its direction. Abnormality judgements were unaffected by music or musical training. Trend judgements were more accurate when music was playing (p = 0.0004). Musical participants reported trends more accurately (p = 0.004), and non-musical participants tended to benefit more from music than did the musical participants (p = 0.063). Music may provide a pitch and rhythm standard from which participants can judge changes in vital signs from auditory displays. Nonetheless, both groups reported that it was easier to monitor the patient with no music (p = 0.0001), and easier to rely upon the auditory displays with no music (p = 0.014).
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Affiliation(s)
- P M Sanderson
- Cognitive Engineering and Human Factors, ARC Key Centre for Human Factors and Applied Cognitive Psychology, The University of Queensland, St Lucia, Australia.
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Caherec A, Bazouzi S, Castello B, Suc A, Fillet A, Maurage C, Rudie J, Laugier J, Rolland J. Responsabilite probable de l'herpes-virus 6 dans un tableau de foetopathie virale d'evolution favorable. Arch Pediatr 1999. [DOI: 10.1016/s0929-693x(99)81740-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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