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Variability in STEM Summer Bridge Programs: Associations with Belonging and STEM Self-Efficacy

Louis Stokes Alliances for Minority Participation AND Program Evaluation

Barth JM, Bolland AC.
GSID: 2GWTmLD2WsQJ
JM Barth, ST Dunlap, AC Bolland… - Frontiers in …, 2021 - frontiersin.org

To address the challenges facing racial minority students majoring in STEM during the transition from high school to college, NSF funded Louis Stokes Alliances for Minority Participation (LSAMP) programs throughout the country implement summer bridge programs. Bridge programs vary...

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Barth, J. M., Dunlap, S. T., Bolland, A. C., McCallum, D. M., & Acoff, V. L. (2021). Variability in STEM Summer Bridge Programs: Associations with Belonging and STEM Self-Efficacy. In Frontiers in Education (p. 197). Frontiers.
Barth, Joan M., et al. "Variability in STEM Summer Bridge Programs: Associations with Belonging and STEM Self-Efficacy." Frontiers in Education. Frontiers, 2021.
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Stereotype Threat and Anxiety for

stereotype threat

Holland A, Osborne JW.
GSID: AgU28SnXREMJ
JW Osborne, D Tillman, A Holland - Anxiety in schools: The …, 2010 - books.google.com

… than men under stereotype threat and performed equal to men when the stereotype threat was removed (Spencer et al., 1999). In this study, it was not that the stereotype threat condition …

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Osborne, J. W., Tillman, D., & Holland, A. (2010). Stereotype Threat and Anxiety for. Anxiety in schools: The causes, consequences, and solutions for academic anxieties, 2, 119.
Osborne, Jason W., David Tillman, and Abigail Holland. "Stereotype Threat and Anxiety for." Anxiety in schools: The causes, consequences, and solutions for academic anxieties 2 (2010): 119.
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Unit learning assignment.

Nursing mirror

Levar R, Molland A.
PMID: 3847975
Nurs Mirror. 1985 Jun 19;160(25):56-8.

No abstract available.

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Levar R, Molland A. Unit learning assignment. Nurs Mirror. 1985;160(25):56-8
Levar, R., & Molland, A. (1985). Unit learning assignment. Nursing mirror, 160(25), 56-8.
Levar, R, and Molland, A. "Unit learning assignment." Nursing mirror vol. 160,25 (1985): 56-8.
Levar R, Molland A. Unit learning assignment. Nurs Mirror. 1985 Jun 19;160(25):56-8. PMID: 3847975.
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EU urges full transparency in science research.

BMJ (Clinical research ed.)

Gulland A.
PMID: 27060103
BMJ. 2016 Apr 08;353:i2032. doi: 10.1136/bmj.i2032.

No abstract available.

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Gulland A. EU urges full transparency in science research. BMJ. 2016;353:i2032doi: 10.1136/bmj.i2032.
Gulland, A. (2016). EU urges full transparency in science research. BMJ (Clinical research ed.), 353i2032. https://doi.org/10.1136/bmj.i2032
Gulland, Anne. "EU urges full transparency in science research." BMJ (Clinical research ed.) vol. 353 (2016): i2032. doi: https://doi.org/10.1136/bmj.i2032
Gulland A. EU urges full transparency in science research. BMJ. 2016 Apr 08;353:i2032. doi: 10.1136/bmj.i2032. PMID: 27060103.
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Convex Clustering with Exemplar-Based Models.

Advances in neural information processing systems

Lashkari D, Golland P.
PMID: 26140013
Adv Neural Inf Process Syst. 2007;20.

Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization problem is inherently a gradient-descent method and is sensitive to initialization. The...

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Lashkari D, Golland P. Convex Clustering with Exemplar-Based Models. Adv Neural Inf Process Syst. 2007;20
Lashkari, D., & Golland, P. (2007). Convex Clustering with Exemplar-Based Models. Advances in neural information processing systems, 20.
Lashkari, Danial, and Golland, Polina. "Convex Clustering with Exemplar-Based Models." Advances in neural information processing systems vol. 20 (2007).
Lashkari D, Golland P. Convex Clustering with Exemplar-Based Models. Adv Neural Inf Process Syst. 2007;20. PMID: 26140013; PMCID: PMC4485428.
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Five minutes with . . . Louis Chesler.

BMJ (Clinical research ed.)

Gulland A.
PMID: 28292821
BMJ. 2017 Mar 14;356:j1304. doi: 10.1136/bmj.j1304.

No abstract available.

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Gulland A. Five minutes with . . . Louis Chesler. BMJ. 2017;356:j1304doi: 10.1136/bmj.j1304.
Gulland, A. (2017). Five minutes with . . . Louis Chesler. BMJ (Clinical research ed.), 356j1304. https://doi.org/10.1136/bmj.j1304
Gulland, Anne. "Five minutes with . . . Louis Chesler." BMJ (Clinical research ed.) vol. 356 (2017): j1304. doi: https://doi.org/10.1136/bmj.j1304
Gulland A. Five minutes with . . . Louis Chesler. BMJ. 2017 Mar 14;356:j1304. doi: 10.1136/bmj.j1304. PMID: 28292821.
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Vascular access for extracorporeal life support: tips and tricks.

Journal of thoracic disease

Reeb J, Olland A, Renaud S, Lejay A, Santelmo N, Massard G, Falcoz PE.
PMID: 27195133
J Thorac Dis. 2016 Apr;8:S353-63. doi: 10.21037/jtd.2016.04.42.

In thoracic surgery, extracorporeal life support (ECLS) techniques are performed to (I) provide a short to mid term extracorporeal mechanical support; (II) realize the gas exchanges; and (III)-depending the configuration of the circuit-substitute the failed heart function. The objective...

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Reeb J, Olland A, Renaud S, et al. Vascular access for extracorporeal life support: tips and tricks. J Thorac Dis. 2016;8:S353-63doi: 10.21037/jtd.2016.04.42.
Reeb, J., Olland, A., Renaud, S., Lejay, A., Santelmo, N., Massard, G., & Falcoz, P. E. (2016). Vascular access for extracorporeal life support: tips and tricks. Journal of thoracic disease, 8S353-63. https://doi.org/10.21037/jtd.2016.04.42
Reeb, Jeremie, et al. "Vascular access for extracorporeal life support: tips and tricks." Journal of thoracic disease vol. 8 (2016): S353-63. doi: https://doi.org/10.21037/jtd.2016.04.42
Reeb J, Olland A, Renaud S, Lejay A, Santelmo N, Massard G, Falcoz PE. Vascular access for extracorporeal life support: tips and tricks. J Thorac Dis. 2016 Apr;8:S353-63. doi: 10.21037/jtd.2016.04.42. PMID: 27195133; PMCID: PMC4856850.
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Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations.

Advances in neural information processing systems

Lashkari D, Sridharan R, Golland P.
PMID: 24839377
Adv Neural Inf Process Syst. 2010 Jan 01;23:1252-1260.

We present a model that describes the structure in the responses of different brain areas to a set of stimuli in terms of

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Lashkari D, Sridharan R, Golland P. Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations. Adv Neural Inf Process Syst. 2010;23:1252-1260
Lashkari, D., Sridharan, R., & Golland, P. (2010). Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations. Advances in neural information processing systems, 231252-1260.
Lashkari, Danial, et al. "Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations." Advances in neural information processing systems vol. 23 (2010): 1252-1260.
Lashkari D, Sridharan R, Golland P. Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations. Adv Neural Inf Process Syst. 2010 Jan 01;23:1252-1260. PMID: 24839377; PMCID: PMC4022600.
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New pathobiochemical insights into dystrophinopathy from the proteomics of senescent mdx mouse muscle.

Frontiers in aging neuroscience

Holland A, Dowling P, Ohlendieck K.
PMID: 24917816
Front Aging Neurosci. 2014 Jun 03;6:109. doi: 10.3389/fnagi.2014.00109. eCollection 2014.

Primary abnormalities in the dystrophin gene cause X-linked muscular dystrophy, a highly progressive muscle wasting disorder of childhood. A spontaneous animal model of Duchenne muscular dystrophy is the mdx mouse, which presents a highly interesting phenotype that exhibits considerable...

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Holland A, Dowling P, Ohlendieck K. New pathobiochemical insights into dystrophinopathy from the proteomics of senescent mdx mouse muscle. Front Aging Neurosci. 2014;6:109doi: 10.3389/fnagi.2014.00109.
Holland, A., Dowling, P., & Ohlendieck, K. (2014). New pathobiochemical insights into dystrophinopathy from the proteomics of senescent mdx mouse muscle. Frontiers in aging neuroscience, 6109. https://doi.org/10.3389/fnagi.2014.00109
Holland, Ashling, et al. "New pathobiochemical insights into dystrophinopathy from the proteomics of senescent mdx mouse muscle." Frontiers in aging neuroscience vol. 6 (2014): 109. doi: https://doi.org/10.3389/fnagi.2014.00109
Holland A, Dowling P, Ohlendieck K. New pathobiochemical insights into dystrophinopathy from the proteomics of senescent mdx mouse muscle. Front Aging Neurosci. 2014 Jun 03;6:109. doi: 10.3389/fnagi.2014.00109. eCollection 2014. PMID: 24917816; PMCID: PMC4042888.
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Functional Geometry Alignment and Localization of Brain Areas.

Advances in neural information processing systems

Langs G, Golland P, Tie Y, Rigolo L, Golby AJ.
PMID: 24808719
Adv Neural Inf Process Syst. 2010;1:1225-1233.

Matching functional brain regions across individuals is a challenging task, largely due to the variability in their location and extent. It is particularly difficult, but highly relevant, for patients with pathologies such as brain tumors, which can cause substantial...

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Langs G, Golland P, Tie Y, et al. Functional Geometry Alignment and Localization of Brain Areas. Adv Neural Inf Process Syst. 2010;1:1225-1233
Langs, G., Golland, P., Tie, Y., Rigolo, L., & Golby, A. J. (2010). Functional Geometry Alignment and Localization of Brain Areas. Advances in neural information processing systems, 11225-1233.
Langs, Georg, et al. "Functional Geometry Alignment and Localization of Brain Areas." Advances in neural information processing systems vol. 1 (2010): 1225-1233.
Langs G, Golland P, Tie Y, Rigolo L, Golby AJ. Functional Geometry Alignment and Localization of Brain Areas. Adv Neural Inf Process Syst. 2010;1:1225-1233. PMID: 24808719; PMCID: PMC4010233.
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A Versatile Tool for Stable Inhibition of microRNA Activity.

Biology

Pelucchi P, Tria V, Martino V, Sabour D, Bertalot G, Molgora S, Palizban M, Götte M, Zucchi I, Reinbold RA.
PMID: 24833050
Biology (Basel). 2013 Jun 28;2(3):861-71. doi: 10.3390/biology2030861.

MicroRNAs (miRNAs) are a class of small RNAs (18-22 nt) that post transcriptionally regulate gene expression by binding to complementary sequences on target mRNAs, resulting in translational repression or target degradation and gene silencing. As aberrant expression of miRNAs...

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Pelucchi P, Tria V, Martino V, et al. A Versatile Tool for Stable Inhibition of microRNA Activity. Biology (Basel). 2013;2(3):861-71doi: 10.3390/biology2030861.
Pelucchi, P., Tria, V., Martino, V., Sabour, D., Bertalot, G., Molgora, S., Palizban, M., Götte, M., Zucchi, I., & Reinbold, R. A. (2013). A Versatile Tool for Stable Inhibition of microRNA Activity. Biology, 2(3), 861-71. https://doi.org/10.3390/biology2030861
Pelucchi, Paride, et al. "A Versatile Tool for Stable Inhibition of microRNA Activity." Biology vol. 2,3 (2013): 861-71. doi: https://doi.org/10.3390/biology2030861
Pelucchi P, Tria V, Martino V, Sabour D, Bertalot G, Molgora S, Palizban M, Götte M, Zucchi I, Reinbold RA. A Versatile Tool for Stable Inhibition of microRNA Activity. Biology (Basel). 2013 Jun 28;2(3):861-71. doi: 10.3390/biology2030861. PMID: 24833050; PMCID: PMC3960870.
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EXPLORING FUNCTIONAL CONNECTIVITY IN FMRI VIA CLUSTERING.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)

Venkataraman A, Van Dijk KR, Buckner RL, Golland P.
PMID: 26028993
Proc IEEE Int Conf Acoust Speech Signal Process. 2009 Apr;2009:441-444. doi: 10.1109/ICASSP.2009.4959615.

In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the K-Means and Spectral Clustering algorithms as alternatives to the commonly used Seed-Based Analysis. To enable clustering...

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Venkataraman A, Van Dijk KR, Buckner RL, et al. EXPLORING FUNCTIONAL CONNECTIVITY IN FMRI VIA CLUSTERING. Proc IEEE Int Conf Acoust Speech Signal Process. 2009;2009:441-444doi: 10.1109/ICASSP.2009.4959615.
Venkataraman, A., Van Dijk, K. R., Buckner, R. L., & Golland, P. (2009). EXPLORING FUNCTIONAL CONNECTIVITY IN FMRI VIA CLUSTERING. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference), 2009441-444. https://doi.org/10.1109/ICASSP.2009.4959615
Venkataraman, Archana, et al. "EXPLORING FUNCTIONAL CONNECTIVITY IN FMRI VIA CLUSTERING." Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference) vol. 2009 (2009): 441-444. doi: https://doi.org/10.1109/ICASSP.2009.4959615
Venkataraman A, Van Dijk KR, Buckner RL, Golland P. EXPLORING FUNCTIONAL CONNECTIVITY IN FMRI VIA CLUSTERING. Proc IEEE Int Conf Acoust Speech Signal Process. 2009 Apr;2009:441-444. doi: 10.1109/ICASSP.2009.4959615. PMID: 26028993; PMCID: PMC4449336.
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Showing 1 to 12 of 395 entries