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Outcomes of dietary management approaches in active ulcerative colitis: A systematic review.

Clinical nutrition (Edinburgh, Scotland)

Marsh A, Rindfleish S, Bennett K, Croft A, Chachay V.
PMID: 34999323
Clin Nutr. 2021 Dec 10;41(2):298-306. doi: 10.1016/j.clnu.2021.12.007. Epub 2021 Dec 10.

BACKGROUND & AIMS: The dietary management of active ulcerative colitis (UC) is currently poorly understood. Due to the lack of clinical guidelines for this population, diet choice may be based on the personal judgement of the clinician, and without...

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Marsh A, Rindfleish S, Bennett K, et al. Outcomes of dietary management approaches in active ulcerative colitis: A systematic review. Clin Nutr. 2021;41(2):298-306doi: 10.1016/j.clnu.2021.12.007.
Marsh, A., Rindfleish, S., Bennett, K., Croft, A., & Chachay, V. (2021). Outcomes of dietary management approaches in active ulcerative colitis: A systematic review. Clinical nutrition (Edinburgh, Scotland), 41(2), 298-306. https://doi.org/10.1016/j.clnu.2021.12.007
Marsh, Abigail, et al. "Outcomes of dietary management approaches in active ulcerative colitis: A systematic review." Clinical nutrition (Edinburgh, Scotland) vol. 41,2 (2021): 298-306. doi: https://doi.org/10.1016/j.clnu.2021.12.007
Marsh A, Rindfleish S, Bennett K, Croft A, Chachay V. Outcomes of dietary management approaches in active ulcerative colitis: A systematic review. Clin Nutr. 2021 Dec 10;41(2):298-306. doi: 10.1016/j.clnu.2021.12.007. Epub 2021 Dec 10. PMID: 34999323.
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Spatio-temporal associations between deforestation and malaria incidence in Lao PDR.

eLife

Rerolle F, Dantzer E, Lover AA, Marshall JM, Hongvanthong B, Sturrock HJ, Bennett A.
PMID: 33686939
Elife. 2021 Mar 09;10. doi: 10.7554/eLife.56974.

As countries in the Greater Mekong Sub-region (GMS) increasingly focus their malaria control and elimination efforts on reducing forest-related transmission, greater understanding of the relationship between deforestation and malaria incidence will be essential for programs to assess and meet...

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Rerolle F, Dantzer E, Lover AA, et al. Spatio-temporal associations between deforestation and malaria incidence in Lao PDR. Elife. 2021;10doi: 10.7554/eLife.56974.
Rerolle, F., Dantzer, E., Lover, A. A., Marshall, J. M., Hongvanthong, B., Sturrock, H. J., & Bennett, A. (2021). Spatio-temporal associations between deforestation and malaria incidence in Lao PDR. eLife, 10. https://doi.org/10.7554/eLife.56974
Rerolle, Francois, et al. "Spatio-temporal associations between deforestation and malaria incidence in Lao PDR." eLife vol. 10 (2021). doi: https://doi.org/10.7554/eLife.56974
Rerolle F, Dantzer E, Lover AA, Marshall JM, Hongvanthong B, Sturrock HJ, Bennett A. Spatio-temporal associations between deforestation and malaria incidence in Lao PDR. Elife. 2021 Mar 09;10. doi: 10.7554/eLife.56974. PMID: 33686939; PMCID: PMC8024023.
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The Impact of Lockdown During the COVID-19 Outbreak on Dietary Habits in Various Population Groups: A Scoping Review.

Frontiers in nutrition

Bennett G, Young E, Butler I, Coe S.
PMID: 33748175
Front Nutr. 2021 Mar 04;8:626432. doi: 10.3389/fnut.2021.626432. eCollection 2021.

No abstract available.

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Bennett G, Young E, Butler I, et al. The Impact of Lockdown During the COVID-19 Outbreak on Dietary Habits in Various Population Groups: A Scoping Review. Front Nutr. 2021;8:626432doi: 10.3389/fnut.2021.626432.
Bennett, G., Young, E., Butler, I., & Coe, S. (2021). The Impact of Lockdown During the COVID-19 Outbreak on Dietary Habits in Various Population Groups: A Scoping Review. Frontiers in nutrition, 8626432. https://doi.org/10.3389/fnut.2021.626432
Bennett, Grace, et al. "The Impact of Lockdown During the COVID-19 Outbreak on Dietary Habits in Various Population Groups: A Scoping Review." Frontiers in nutrition vol. 8 (2021): 626432. doi: https://doi.org/10.3389/fnut.2021.626432
Bennett G, Young E, Butler I, Coe S. The Impact of Lockdown During the COVID-19 Outbreak on Dietary Habits in Various Population Groups: A Scoping Review. Front Nutr. 2021 Mar 04;8:626432. doi: 10.3389/fnut.2021.626432. eCollection 2021. PMID: 33748175; PMCID: PMC7969646.
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Genomic investigation of a suspected .

Microbial genomics

Cornick J, Musicha P, Peno C, Seager E, Iroh Tam PY, Bilima S, Bennett A, Kennedy N, Feasey N, Heinz E, Cain AK.
PMID: 34793293
Microb Genom. 2021 Nov;7(11). doi: 10.1099/mgen.0.000703.

A special-care neonatal unit from a large public hospital in Malawi was noted as having more frequent, difficult-to-treat infections, and a suspected outbreak of multi-drug-resistant

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Cornick J, Musicha P, Peno C, et al. Genomic investigation of a suspected . Microb Genom. 2021;7(11)doi: 10.1099/mgen.0.000703.
Cornick, J., Musicha, P., Peno, C., Seager, E., Iroh Tam, P. Y., Bilima, S., Bennett, A., Kennedy, N., Feasey, N., Heinz, E., & Cain, A. K. (2021). Genomic investigation of a suspected . Microbial genomics, 7(11), . https://doi.org/10.1099/mgen.0.000703
Cornick, Jennifer, et al. "Genomic investigation of a suspected ." Microbial genomics vol. 7,11 (2021). doi: https://doi.org/10.1099/mgen.0.000703
Cornick J, Musicha P, Peno C, Seager E, Iroh Tam PY, Bilima S, Bennett A, Kennedy N, Feasey N, Heinz E, Cain AK. Genomic investigation of a suspected . Microb Genom. 2021 Nov;7(11). doi: 10.1099/mgen.0.000703. PMID: 34793293; PMCID: PMC8743538.
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Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning.

IEEE access : practical innovations, open solutions

Li M, Fang Z, Cong W, Niu C, Wu W, Uher J, Bennett J, Rubinstein JT, Wang GE.
PMID: 33777595
IEEE Access. 2020;8:229018-229032. doi: 10.1109/access.2020.3046187. Epub 2020 Dec 21.

While micro-CT systems are instrumental in preclinical research, clinical micro-CT imaging has long been desired with cochlear implantation as a primary application. The structural details of the cochlear implant and the temporal bone require a significantly higher image resolution...

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Li M, Fang Z, Cong W, et al. Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning. IEEE Access. 2020;8:229018-229032doi: 10.1109/access.2020.3046187.
Li, M., Fang, Z., Cong, W., Niu, C., Wu, W., Uher, J., Bennett, J., Rubinstein, J. T., & Wang, G. E. (2020). Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning. IEEE access : practical innovations, open solutions, 8229018-229032. https://doi.org/10.1109/access.2020.3046187
Li, Mengzhou, et al. "Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning." IEEE access : practical innovations, open solutions vol. 8 (2020): 229018-229032. doi: https://doi.org/10.1109/access.2020.3046187
Li M, Fang Z, Cong W, Niu C, Wu W, Uher J, Bennett J, Rubinstein JT, Wang GE. Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning. IEEE Access. 2020;8:229018-229032. doi: 10.1109/access.2020.3046187. Epub 2020 Dec 21. PMID: 33777595; PMCID: PMC7996632.
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cSELF (computer science education from life): Broadening participation through design agency.

Eglash R, Bennett A.
UIID-AD: 4456
2014;677-691. doi: 10.4018/978-1-4666-7363-2.ch036.

The phrase "broadening participation" is often used to describe efforts to decrease the race and gender gap in science and engineering education, and in this paper the authors describe an educational program focused on addressing the lower achievement rates...

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Eglash R, Bennett A. cSELF (computer science education from life): Broadening participation through design agency. 2014;677-691doi: 10.4018/978-1-4666-7363-2.ch036.
Eglash, R., & Bennett, A. (2014). cSELF (computer science education from life): Broadening participation through design agency. 677-691. https://doi.org/10.4018/978-1-4666-7363-2.ch036
Eglash, R, and Bennett, A. "cSELF (computer science education from life): Broadening participation through design agency." vol. (2014): 677-691. doi: https://doi.org/10.4018/978-1-4666-7363-2.ch036
Eglash R, Bennett A. cSELF (computer science education from life): Broadening participation through design agency. 2014;677-691. doi: 10.4018/978-1-4666-7363-2.ch036. UIID-AD: 4456.
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Experiences of medical students who are first in family to attend university.

Wright S, Brosnan C, Southgate E, Outram S, Lempp H, Saxby T, Harris G, Bennett A, Kelly B.
UIID-AD: 4350
2016;842-51. doi: 10.1111/medu.12995.

CONTEXT: Students from backgrounds of low socio-economic status (SES) or who are first in family to attend university (FiF) are under-represented in medicine. Research has focused on these students' pre-admission perceptions of medicine, rather than on their lived experience...

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Wright S, Brosnan C, Southgate E, et al. Experiences of medical students who are first in family to attend university. 2016;842-51doi: 10.1111/medu.12995.
Wright, S., Brosnan, C., Southgate, E., Outram, S., Lempp, H., Saxby, T., Harris, G., Bennett, A., & Kelly, B. (2016). Experiences of medical students who are first in family to attend university. 842-51. https://doi.org/10.1111/medu.12995
Wright, S, et al. "Experiences of medical students who are first in family to attend university." vol. (2016): 842-51. doi: https://doi.org/10.1111/medu.12995
Wright S, Brosnan C, Southgate E, Outram S, Lempp H, Saxby T, Harris G, Bennett A, Kelly B. Experiences of medical students who are first in family to attend university. 2016;842-51. doi: 10.1111/medu.12995. UIID-AD: 4350.
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Latent structure of mentoring function scales.

Educational and Psychological Measurement

Tepper, Shaffer, Tepper.
UIID-EM: 118
1996;56:848-857. doi: 10.1177/0013164496056005013.

The latent structure of a 16-item mentoring function instrument was analyzed with the responses of 568 full-time employees. Five samples of respondents were used, to explore the responses of individuals representing diverse backgrounds and types of relationships with senior...

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Tepper, Shaffer, Tepper. Latent structure of mentoring function scales. 1996;56:848-857doi: 10.1177/0013164496056005013.
Tepper, Shaffer, & Tepper. (1996). Latent structure of mentoring function scales. Educational and Psychological Measurement, 56848-857. https://doi.org/10.1177/0013164496056005013
Tepper, Kelly, et al. "Latent structure of mentoring function scales." Educational and Psychological Measurement vol. 56 (1996): 848-857. doi: https://doi.org/10.1177/0013164496056005013
Tepper, Shaffer, Tepper. Latent structure of mentoring function scales. 1996;56:848-857. doi: 10.1177/0013164496056005013. UIID-EM: 118.
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Showing 2245 to 2252 of 2252 entries