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Integrated in-situ simulation using redirected faculty educational time to minimize costs: a feasibility study

program design

Calhoun AW.
GSID: KlW2wrAgrJ0J
AW Calhoun, MC Boone, EB Peterson… - Simulation in …, 2011 - journals.lww.com

Methods: Two pediatric simulators and audiovisual equipment were purchased. Course faculty were derived from a group of physicians and nurses with a percentage work …

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Calhoun, A. W., Boone, M. C., Peterson, E. B., Boland, K. A., & Montgomery, V. L. (2011). Integrated in-situ simulation using redirected faculty educational time to minimize costs: a feasibility study. Simulation in Healthcare, 6(6), 337-344.
Calhoun, Aaron W., et al. "Integrated in-situ simulation using redirected faculty educational time to minimize costs: a feasibility study." Simulation in Healthcare 6.6 (2011): 337-344.
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Use of exam wrappers and measures of anxiety on class performance in six gateway STEM courses at a small liberal arts college

Growth Mindset STEM Intervention

Calhoun ES, Harwood A, Swalve N.
GSID: 2pUlCxHH8SQJ
N Swalve, A Harwood, ES Calhoun - College Teaching, 2021 - Taylor & Francis

… limited interventions may not be substantial enough to improve student performance in STEM … decrease student success, dependent on the factors of the course and student mindset. …

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Swalve, N., Harwood, A., & Calhoun, E. S. (2021). Use of exam wrappers and measures of anxiety on class performance in six gateway STEM courses at a small liberal arts college. College Teaching, 69(3), 138-149.
Swalve, Natashia, Amanda Harwood, and Eric S. Calhoun. "Use of exam wrappers and measures of anxiety on class performance in six gateway STEM courses at a small liberal arts college." College Teaching 69.3 (2021): 138-149.
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Broadening Participation: How Gender and Race Theory Inform our Work

Broadening participation

Calhoun CD.
GSID: tUao2_5koAEJ
CD Calhoun, G Greenidge… - Workshop presented at …, 2019 - cheryldcalhoun.com

The theory of planned behavior implies that ability plus interest equals intention and ultimately planned behavior. As we attempt to attract more women and people of color into STEM fields, we often find that these assumptions don’t hold true....

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Calhoun, C. D., Greenidge, G., & Carnes, C. (2019). Broadening Participation: How Gender and Race Theory Inform our Work. In Workshop presented at National Science Foundation Advanced Technical Education Principle Investigators Conference in Washington, DC.
Calhoun, C. D., G. Greenidge, and C. Carnes. "Broadening Participation: How Gender and Race Theory Inform our Work." Workshop presented at National Science Foundation Advanced Technical Education Principle Investigators Conference in Washington, DC. 2019.
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'We Are Ewits-Hear Us Roar!': Empowering Women in Technology Startups (Ewits) as an Experiential Learning Model To Challenge Gendered Social Norms in the …

Broadening participation

Calhoun CD.
GSID: z4LSeFihhUAJ
CD Calhoun - Gainesville, FL: University of Florida, 2017 - search.proquest.com

1 “WE ARE EWITS - HEAR US ROAR!”: EMPOWERING WOMEN IN TECHNOLOGY STARTUPS (EWITS) AS AN EXPERIENTIAL LEARNING MODEL TO CHALL Page 1 1 “WE ARE EWITS …

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Calhoun, C. D. (2017). " We Are Ewits-Hear Us Roar!": Empowering Women in Technology Startups (Ewits) as an Experiential Learning Model to Challenge Gendered Social Norms in the Field (Doctoral dissertation, University of Florida).
Calhoun, Cheryl D. " We Are Ewits-Hear Us Roar!": Empowering Women in Technology Startups (Ewits) as an Experiential Learning Model to Challenge Gendered Social Norms in the Field. Diss. University of Florida, 2017.
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Attitudes toward the sale and use of drugs -A cross-sectional analysis of those who used drugs.

Journal of youth and adolescence

Calhoun JF.
PMID: 24414210
J Youth Adolesc. 1974 Mar;3(1):31-47. doi: 10.1007/BF02215335.

Drug users from samples of six specific groups (both students and adults) were intensively surveyed on their differential attitudes toward the use of eight drug types. Resulting comparisons between groups, drugs, and attitudes provide a relative picture of the...

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Calhoun JF. Attitudes toward the sale and use of drugs -A cross-sectional analysis of those who used drugs. J Youth Adolesc. 1974;3(1):31-47doi: 10.1007/BF02215335.
Calhoun, J. F. (1974). Attitudes toward the sale and use of drugs -A cross-sectional analysis of those who used drugs. Journal of youth and adolescence, 3(1), 31-47. https://doi.org/10.1007/BF02215335
Calhoun, J F. "Attitudes toward the sale and use of drugs -A cross-sectional analysis of those who used drugs." Journal of youth and adolescence vol. 3,1 (1974): 31-47. doi: https://doi.org/10.1007/BF02215335
Calhoun JF. Attitudes toward the sale and use of drugs -A cross-sectional analysis of those who used drugs. J Youth Adolesc. 1974 Mar;3(1):31-47. doi: 10.1007/BF02215335. PMID: 24414210.
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Understanding the morphological mismatch between magnetic susceptibility source and t2* image.

Magnetic resonance insights

Chen Z, Calhoun V.
PMID: 25114545
Magn Reson Insights. 2013 Aug 01;6:65-81. doi: 10.4137/MRI.S11920. eCollection 2013.

BACKGROUND AND PURPOSE: Recent research has shown that a T2* image (either magnitude or phase) is not identical to the internal spatial distribution of a magnetic susceptibility (χ) source. In this paper, we examine the reasons behind these differences...

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Chen Z, Calhoun V. Understanding the morphological mismatch between magnetic susceptibility source and t2* image. Magn Reson Insights. 2013;6:65-81doi: 10.4137/MRI.S11920.
Chen, Z., & Calhoun, V. (2013). Understanding the morphological mismatch between magnetic susceptibility source and t2* image. Magnetic resonance insights, 665-81. https://doi.org/10.4137/MRI.S11920
Chen, Zikuan, and Calhoun, Vince. "Understanding the morphological mismatch between magnetic susceptibility source and t2* image." Magnetic resonance insights vol. 6 (2013): 65-81. doi: https://doi.org/10.4137/MRI.S11920
Chen Z, Calhoun V. Understanding the morphological mismatch between magnetic susceptibility source and t2* image. Magn Reson Insights. 2013 Aug 01;6:65-81. doi: 10.4137/MRI.S11920. eCollection 2013. PMID: 25114545; PMCID: PMC4089704.
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The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

Scientific data

Gorgolewski KJ, Auer T, Calhoun VD, Craddock RC, Das S, Duff EP, Flandin G, Ghosh SS, Glatard T, Halchenko YO, Handwerker DA, Hanke M, Keator D, Li X, Michael Z, Maumet C, Nichols BN, Nichols TE, Pellman J, Poline JB, Rokem A, Schaefer G, Sochat V, Triplett W, Turner JA, Varoquaux G, Poldrack RA.
PMID: 27326542
Sci Data. 2016 Jun 21;3:160044. doi: 10.1038/sdata.2016.44.

The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of the brain....

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Gorgolewski KJ, Auer T, Calhoun VD, et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Sci Data. 2016;3:160044doi: 10.1038/sdata.2016.44.
Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., Flandin, G., Ghosh, S. S., Glatard, T., Halchenko, Y. O., Handwerker, D. A., Hanke, M., Keator, D., Li, X., Michael, Z., Maumet, C., Nichols, B. N., Nichols, T. E., Pellman, J., Poline, J. B., Rokem, A., Schaefer, G., Sochat, V., Triplett, W., Turner, J. A., Varoquaux, G., & Poldrack, R. A. (2016). The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific data, 3160044. https://doi.org/10.1038/sdata.2016.44
Gorgolewski, Krzysztof J, et al. "The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments." Scientific data vol. 3 (2016): 160044. doi: https://doi.org/10.1038/sdata.2016.44
Gorgolewski KJ, Auer T, Calhoun VD, Craddock RC, Das S, Duff EP, Flandin G, Ghosh SS, Glatard T, Halchenko YO, Handwerker DA, Hanke M, Keator D, Li X, Michael Z, Maumet C, Nichols BN, Nichols TE, Pellman J, Poline JB, Rokem A, Schaefer G, Sochat V, Triplett W, Turner JA, Varoquaux G, Poldrack RA. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Sci Data. 2016 Jun 21;3:160044. doi: 10.1038/sdata.2016.44. PMID: 27326542; PMCID: PMC4978148.
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Memory Efficient PCA Methods for Large Group ICA.

Frontiers in neuroscience

Rachakonda S, Silva RF, Liu J, Calhoun VD.
PMID: 26869874
Front Neurosci. 2016 Feb 02;10:17. doi: 10.3389/fnins.2016.00017. eCollection 2016.

Principal component analysis (PCA) is widely used for data reduction in group independent component analysis (ICA) of fMRI data. Commonly, group-level PCA of temporally concatenated datasets is computed prior to ICA of the group principal components. This work focuses...

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Rachakonda S, Silva RF, Liu J, et al. Memory Efficient PCA Methods for Large Group ICA. Front Neurosci. 2016;10:17doi: 10.3389/fnins.2016.00017.
Rachakonda, S., Silva, R. F., Liu, J., & Calhoun, V. D. (2016). Memory Efficient PCA Methods for Large Group ICA. Frontiers in neuroscience, 1017. https://doi.org/10.3389/fnins.2016.00017
Rachakonda, Srinivas, et al. "Memory Efficient PCA Methods for Large Group ICA." Frontiers in neuroscience vol. 10 (2016): 17. doi: https://doi.org/10.3389/fnins.2016.00017
Rachakonda S, Silva RF, Liu J, Calhoun VD. Memory Efficient PCA Methods for Large Group ICA. Front Neurosci. 2016 Feb 02;10:17. doi: 10.3389/fnins.2016.00017. eCollection 2016. PMID: 26869874; PMCID: PMC4735350.
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Breast tissue, oral and urinary microbiomes in breast cancer.

Oncotarget

Wang H, Altemus J, Niazi F, Green H, Calhoun BC, Sturgis C, Grobmyer SR, Eng C.
PMID: 29152146
Oncotarget. 2017 Aug 14;8(50):88122-88138. doi: 10.18632/oncotarget.21490. eCollection 2017 Oct 20.

It has long been proposed that the gut microbiome contributes to breast carcinogenesis by modifying systemic estrogen levels. This is often cited as a possible mechanism linking breast cancer and high-fat, low-fiber diets as well as antibiotic exposure, associations...

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Wang H, Altemus J, Niazi F, et al. Breast tissue, oral and urinary microbiomes in breast cancer. Oncotarget. 2017;8(50):88122-88138doi: 10.18632/oncotarget.21490.
Wang, H., Altemus, J., Niazi, F., Green, H., Calhoun, B. C., Sturgis, C., Grobmyer, S. R., & Eng, C. (2017). Breast tissue, oral and urinary microbiomes in breast cancer. Oncotarget, 8(50), 88122-88138. https://doi.org/10.18632/oncotarget.21490
Wang, Hannah, et al. "Breast tissue, oral and urinary microbiomes in breast cancer." Oncotarget vol. 8,50 (2017): 88122-88138. doi: https://doi.org/10.18632/oncotarget.21490
Wang H, Altemus J, Niazi F, Green H, Calhoun BC, Sturgis C, Grobmyer SR, Eng C. Breast tissue, oral and urinary microbiomes in breast cancer. Oncotarget. 2017 Aug 14;8(50):88122-88138. doi: 10.18632/oncotarget.21490. eCollection 2017 Oct 20. PMID: 29152146; PMCID: PMC5675698.
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Resection arthrodesis of the knee for sarcoma: preliminary results.

Orthopedics

Dunham WK, Calhoun JC.
PMID: 24822793
Orthopedics. 1984 Dec 01;7(12):1810-8. doi: 10.3928/0147-7447-19841201-06.

The surgical removal of malignant bone tumors of the knee requires the generous removal of large segments of femur and tibia with large cuffs of surrounding musculature. This type of resection does not leave the necessary muscles and soft...

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Dunham WK, Calhoun JC. Resection arthrodesis of the knee for sarcoma: preliminary results. Orthopedics. 1984;7(12):1810-8doi: 10.3928/0147-7447-19841201-06.
Dunham, W. K., & Calhoun, J. C. (1984). Resection arthrodesis of the knee for sarcoma: preliminary results. Orthopedics, 7(12), 1810-8. https://doi.org/10.3928/0147-7447-19841201-06
Dunham, W K, and Calhoun, J C. "Resection arthrodesis of the knee for sarcoma: preliminary results." Orthopedics vol. 7,12 (1984): 1810-8. doi: https://doi.org/10.3928/0147-7447-19841201-06
Dunham WK, Calhoun JC. Resection arthrodesis of the knee for sarcoma: preliminary results. Orthopedics. 1984 Dec 01;7(12):1810-8. doi: 10.3928/0147-7447-19841201-06. PMID: 24822793.
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The Importance of Deception in Simulation: A Response.

Simulation in healthcare : journal of the Society for Simulation in Healthcare

Calhoun AW, Pian-Smith MC, Truog RD, Gaba DM, Meyer EC.
PMID: 26650705
Simul Healthc. 2015 Dec;10(6):387-390. doi: 10.1097/SIH.0000000000000127.

No abstract available.

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Calhoun AW, Pian-Smith MC, Truog RD, et al. The Importance of Deception in Simulation: A Response. Simul Healthc. 2015;10(6):387-390doi: 10.1097/SIH.0000000000000127.
Calhoun, A. W., Pian-Smith, M. C., Truog, R. D., Gaba, D. M., & Meyer, E. C. (2015). The Importance of Deception in Simulation: A Response. Simulation in healthcare : journal of the Society for Simulation in Healthcare, 10(6), 387-390. https://doi.org/10.1097/SIH.0000000000000127
Calhoun, Aaron William, et al. "The Importance of Deception in Simulation: A Response." Simulation in healthcare : journal of the Society for Simulation in Healthcare vol. 10,6 (2015): 387-390. doi: https://doi.org/10.1097/SIH.0000000000000127
Calhoun AW, Pian-Smith MC, Truog RD, Gaba DM, Meyer EC. The Importance of Deception in Simulation: A Response. Simul Healthc. 2015 Dec;10(6):387-390. doi: 10.1097/SIH.0000000000000127. PMID: 26650705.
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Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling.

IEEE journal of selected topics in signal processing

Silva RF, Plis SM, Sui J, Pattichis MS, Adalı T, Calhoun VD.
PMID: 28461840
IEEE J Sel Top Signal Process. 2016 Oct;10(7):1134-1149. doi: 10.1109/JSTSP.2016.2594945. Epub 2016 Jul 27.

In the past decade, numerous advances in the study of the human brain were fostered by successful applications of blind source separation (BSS) methods to a wide range of imaging modalities. The main focus has been on extracting "networks"...

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Silva RF, Plis SM, Sui J, et al. Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling. IEEE J Sel Top Signal Process. 2016;10(7):1134-1149doi: 10.1109/JSTSP.2016.2594945.
Silva, R. F., Plis, S. M., Sui, J., Pattichis, M. S., Adalı, T., & Calhoun, V. D. (2016). Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling. IEEE journal of selected topics in signal processing, 10(7), 1134-1149. https://doi.org/10.1109/JSTSP.2016.2594945
Silva, Rogers F, et al. "Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling." IEEE journal of selected topics in signal processing vol. 10,7 (2016): 1134-1149. doi: https://doi.org/10.1109/JSTSP.2016.2594945
Silva RF, Plis SM, Sui J, Pattichis MS, Adalı T, Calhoun VD. Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling. IEEE J Sel Top Signal Process. 2016 Oct;10(7):1134-1149. doi: 10.1109/JSTSP.2016.2594945. Epub 2016 Jul 27. PMID: 28461840; PMCID: PMC5409135.
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Showing 1 to 12 of 647 entries