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Minority students and STEM careers: Will mentoring help

Minority STEM

Dilger J.
GSID: Hl9GsQUPXDoJ
S Pentyala, J Dilger, M Rebecchi - Journal of Health Education Research & …, 2016

No abstract available.

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Pentyala, S., Dilger, J., & Rebecchi, M. (2016). Minority students and STEM careers: Will mentoring help. Journal of Health Education Research & Development, 4(2), 175.
Pentyala, Srinivas, James Dilger, and Mario Rebecchi. "Minority students and STEM careers: Will mentoring help." Journal of Health Education Research & Development 4.2 (2016): 175.
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Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error.

Journal of chemical theory and computation

Faber FA, Hutchison L, Huang B, Gilmer J, Schoenholz SS, Dahl GE, Vinyals O, Kearnes S, Riley PF, von Lilienfeld OA.
PMID: 28926232
J Chem Theory Comput. 2017 Nov 14;13(11):5255-5264. doi: 10.1021/acs.jctc.7b00577. Epub 2017 Oct 10.

We investigate the impact of choosing regressors and molecular representations for the construction of fast machine learning (ML) models of 13 electronic ground-state properties of organic molecules. The performance of each regressor/representation/property combination is assessed using learning curves which...

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Faber FA, Hutchison L, Huang B, et al. Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error. J Chem Theory Comput. 2017;13(11):5255-5264doi: 10.1021/acs.jctc.7b00577.
Faber, F. A., Hutchison, L., Huang, B., Gilmer, J., Schoenholz, S. S., Dahl, G. E., Vinyals, O., Kearnes, S., Riley, P. F., & von Lilienfeld, O. A. (2017). Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error. Journal of chemical theory and computation, 13(11), 5255-5264. https://doi.org/10.1021/acs.jctc.7b00577
Faber, Felix A, et al. "Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error." Journal of chemical theory and computation vol. 13,11 (2017): 5255-5264. doi: https://doi.org/10.1021/acs.jctc.7b00577
Faber FA, Hutchison L, Huang B, Gilmer J, Schoenholz SS, Dahl GE, Vinyals O, Kearnes S, Riley PF, von Lilienfeld OA. Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error. J Chem Theory Comput. 2017 Nov 14;13(11):5255-5264. doi: 10.1021/acs.jctc.7b00577. Epub 2017 Oct 10. PMID: 28926232.
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Single Photon Counting UV Solar-Blind Detectors Using Silicon and III-Nitride Materials.

Sensors (Basel, Switzerland)

Nikzad S, Hoenk M, Jewell AD, Hennessy JJ, Carver AG, Jones TJ, Goodsall TM, Hamden ET, Suvarna P, Bulmer J, Shahedipour-Sandvik F, Charbon E, Padmanabhan P, Hancock B, Bell LD.
PMID: 27338399
Sensors (Basel). 2016 Jun 21;16(6). doi: 10.3390/s16060927.

Ultraviolet (UV) studies in astronomy, cosmology, planetary studies, biological and medical applications often require precision detection of faint objects and in many cases require photon-counting detection. We present an overview of two approaches for achieving photon counting in the...

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Nikzad S, Hoenk M, Jewell AD, et al. Single Photon Counting UV Solar-Blind Detectors Using Silicon and III-Nitride Materials. Sensors (Basel). 2016;16(6)doi: 10.3390/s16060927.
Nikzad, S., Hoenk, M., Jewell, A. D., Hennessy, J. J., Carver, A. G., Jones, T. J., Goodsall, T. M., Hamden, E. T., Suvarna, P., Bulmer, J., Shahedipour-Sandvik, F., Charbon, E., Padmanabhan, P., Hancock, B., & Bell, L. D. (2016). Single Photon Counting UV Solar-Blind Detectors Using Silicon and III-Nitride Materials. Sensors (Basel, Switzerland), 16(6), . https://doi.org/10.3390/s16060927
Nikzad, Shouleh, et al. "Single Photon Counting UV Solar-Blind Detectors Using Silicon and III-Nitride Materials." Sensors (Basel, Switzerland) vol. 16,6 (2016). doi: https://doi.org/10.3390/s16060927
Nikzad S, Hoenk M, Jewell AD, Hennessy JJ, Carver AG, Jones TJ, Goodsall TM, Hamden ET, Suvarna P, Bulmer J, Shahedipour-Sandvik F, Charbon E, Padmanabhan P, Hancock B, Bell LD. Single Photon Counting UV Solar-Blind Detectors Using Silicon and III-Nitride Materials. Sensors (Basel). 2016 Jun 21;16(6). doi: 10.3390/s16060927. PMID: 27338399; PMCID: PMC4934352.
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The U.S. Drug Policy Landscape: Insights and Opportunities for Improving the View.

Rand health quarterly

Kilmer B, Caulkins JP, Pacula RL, Reuter PH.
PMID: 28083261
Rand Health Q. 2012 Sep 01;2(3):2. eCollection 2012.

Discussions about reducing the harms associated with drug use and antidrug policies are often politicized, infused with questionable data, and unproductive. This article provides an overview of a nonpartisan primer that should be of interest to those who are...

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Kilmer B, Caulkins JP, Pacula RL, et al. The U.S. Drug Policy Landscape: Insights and Opportunities for Improving the View. Rand Health Q. 2012;2(3):2
Kilmer, B., Caulkins, J. P., Pacula, R. L., & Reuter, P. H. (2012). The U.S. Drug Policy Landscape: Insights and Opportunities for Improving the View. Rand health quarterly, 2(3), 2.
Kilmer, Beau, et al. "The U.S. Drug Policy Landscape: Insights and Opportunities for Improving the View." Rand health quarterly vol. 2,3 (2012): 2.
Kilmer B, Caulkins JP, Pacula RL, Reuter PH. The U.S. Drug Policy Landscape: Insights and Opportunities for Improving the View. Rand Health Q. 2012 Sep 01;2(3):2. eCollection 2012. PMID: 28083261; PMCID: PMC4945234.
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Hyperhomocysteinemia, Suppressed Immunity, and Altered Oxidative Metabolism Caused by Pathogenic Microbes in Atherosclerosis and Dementia.

Frontiers in aging neuroscience

McCully KS.
PMID: 29056905
Front Aging Neurosci. 2017 Oct 06;9:324. doi: 10.3389/fnagi.2017.00324. eCollection 2017.

Many pathogenic microorganisms have been demonstrated in atherosclerotic plaques and in cerebral plaques in dementia. Hyperhomocysteinemia, which is a risk factor for atherosclerosis and dementia, is caused by dysregulation of methionine metabolism secondary to deficiency of the allosteric regulator,...

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McCully KS. Hyperhomocysteinemia, Suppressed Immunity, and Altered Oxidative Metabolism Caused by Pathogenic Microbes in Atherosclerosis and Dementia. Front Aging Neurosci. 2017;9:324doi: 10.3389/fnagi.2017.00324.
McCully, K. S. (2017). Hyperhomocysteinemia, Suppressed Immunity, and Altered Oxidative Metabolism Caused by Pathogenic Microbes in Atherosclerosis and Dementia. Frontiers in aging neuroscience, 9324. https://doi.org/10.3389/fnagi.2017.00324
McCully, Kilmer S. "Hyperhomocysteinemia, Suppressed Immunity, and Altered Oxidative Metabolism Caused by Pathogenic Microbes in Atherosclerosis and Dementia." Frontiers in aging neuroscience vol. 9 (2017): 324. doi: https://doi.org/10.3389/fnagi.2017.00324
McCully KS. Hyperhomocysteinemia, Suppressed Immunity, and Altered Oxidative Metabolism Caused by Pathogenic Microbes in Atherosclerosis and Dementia. Front Aging Neurosci. 2017 Oct 06;9:324. doi: 10.3389/fnagi.2017.00324. eCollection 2017. PMID: 29056905; PMCID: PMC5635055.
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Respiratory failure with cervicomedullary infarctions.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association

Frank JI, Biller J.
PMID: 26486684
J Stroke Cerebrovasc Dis. 1995;5(2):61-5. doi: 10.1016/S1052-3057(10)80347-7. Epub 2010 Jul 08.

Respiratory failure from brainstem and spinal cord infarction has been described without attention to ventilatory characteristics and prognosis. We describe two patients who suffered from complete aventilation with cervicomedullary infarctions. One achieved full recovery of spontaneous breathing, and the...

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Frank JI, Biller J. Respiratory failure with cervicomedullary infarctions. J Stroke Cerebrovasc Dis. 2010;5(2):61-5doi: 10.1016/S1052-3057(10)80347-7.
Frank, J. I., & Biller, J. (1995). Respiratory failure with cervicomedullary infarctions. Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 5(2), 61-5. https://doi.org/10.1016/S1052-3057(10)80347-7
Frank, J I, and Biller, J. "Respiratory failure with cervicomedullary infarctions." Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association vol. 5,2 (1995): 61-5. doi: https://doi.org/10.1016/S1052-3057(10)80347-7
Frank JI, Biller J. Respiratory failure with cervicomedullary infarctions. J Stroke Cerebrovasc Dis. 1995;5(2):61-5. doi: 10.1016/S1052-3057(10)80347-7. Epub 2010 Jul 08. PMID: 26486684.
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Correction: Gender Differences in Sustained Attentional Control Relate to Gender Inequality across Countries.

PloS one

Riley E, Okabe H, Germine L, Wilmer J, Esterman M, DeGutis J.
PMID: 28107487
PLoS One. 2017 Jan 20;12(1):e0170876. doi: 10.1371/journal.pone.0170876. eCollection 2017.

[This corrects the article DOI: 10.1371/journal.pone.0165100.].

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Riley E, Okabe H, Germine L, et al. Correction: Gender Differences in Sustained Attentional Control Relate to Gender Inequality across Countries. PLoS One. 2017;12(1):e0170876doi: 10.1371/journal.pone.0170876.
Riley, E., Okabe, H., Germine, L., Wilmer, J., Esterman, M., & DeGutis, J. (2017). Correction: Gender Differences in Sustained Attentional Control Relate to Gender Inequality across Countries. PloS one, 12(1), e0170876. https://doi.org/10.1371/journal.pone.0170876
Riley, Elizabeth, et al. "Correction: Gender Differences in Sustained Attentional Control Relate to Gender Inequality across Countries." PloS one vol. 12,1 (2017): e0170876. doi: https://doi.org/10.1371/journal.pone.0170876
Riley E, Okabe H, Germine L, Wilmer J, Esterman M, DeGutis J. Correction: Gender Differences in Sustained Attentional Control Relate to Gender Inequality across Countries. PLoS One. 2017 Jan 20;12(1):e0170876. doi: 10.1371/journal.pone.0170876. eCollection 2017. PMID: 28107487; PMCID: PMC5249116.
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Pseudoscardovia radai sp. nov., another representative of a new genus within the family Bifidobacteriaceae isolated from the digestive tract of a wild pig ( Sus scrofa scrofa ).

International journal of systematic and evolutionary microbiology

Killer J, Havlik J, Bunesova V, Vlkova E, Benada O.
PMID: 24867175
Int J Syst Evol Microbiol. 2014 Sep;64(9):2932-2938. doi: 10.1099/ijs.0.063230-0. Epub 2014 May 27.

Presence of bifidobacteria and representatives of the new genus Pseudoscardovia within the family Bifidobacteriaceae in the digestive tract of wild pigs has been reported recently. Results based on comparative 16S rRNA gene sequence analysis of a new fructose-6-phosphate phosphoketolase-positive...

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Killer J, Havlik J, Bunesova V, et al. Pseudoscardovia radai sp. nov., another representative of a new genus within the family Bifidobacteriaceae isolated from the digestive tract of a wild pig ( Sus scrofa scrofa ). Int J Syst Evol Microbiol. 2014;64(9):2932-2938doi: 10.1099/ijs.0.063230-0.
Killer, J., Havlik, J., Bunesova, V., Vlkova, E., & Benada, O. (2014). Pseudoscardovia radai sp. nov., another representative of a new genus within the family Bifidobacteriaceae isolated from the digestive tract of a wild pig ( Sus scrofa scrofa ). International journal of systematic and evolutionary microbiology, 64(9), 2932-2938. https://doi.org/10.1099/ijs.0.063230-0
Killer, Jiri, et al. "Pseudoscardovia radai sp. nov., another representative of a new genus within the family Bifidobacteriaceae isolated from the digestive tract of a wild pig ( Sus scrofa scrofa )." International journal of systematic and evolutionary microbiology vol. 64,9 (2014): 2932-2938. doi: https://doi.org/10.1099/ijs.0.063230-0
Killer J, Havlik J, Bunesova V, Vlkova E, Benada O. Pseudoscardovia radai sp. nov., another representative of a new genus within the family Bifidobacteriaceae isolated from the digestive tract of a wild pig ( Sus scrofa scrofa ). Int J Syst Evol Microbiol. 2014 Sep;64(9):2932-2938. doi: 10.1099/ijs.0.063230-0. Epub 2014 May 27. PMID: 24867175.
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Lithium protects against paraquat neurotoxicity by NRF2 activation and miR-34a inhibition in SH-SY5Y cells.

Frontiers in cellular neuroscience

Alural B, Ozerdem A, Allmer J, Genc K, Genc S.
PMID: 26074776
Front Cell Neurosci. 2015 May 28;9:209. doi: 10.3389/fncel.2015.00209. eCollection 2015.

Lithium is a mood stabilizing agent commonly used for the treatment of bipolar disorder. Here, we investigated the potential neuroprotective effect of lithium against paraquat toxicity and its underlying mechanisms in vitro. SH-SY5Y human neuroblastoma cells were treated with...

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Alural B, Ozerdem A, Allmer J, et al. Lithium protects against paraquat neurotoxicity by NRF2 activation and miR-34a inhibition in SH-SY5Y cells. Front Cell Neurosci. 2015;9:209doi: 10.3389/fncel.2015.00209.
Alural, B., Ozerdem, A., Allmer, J., Genc, K., & Genc, S. (2015). Lithium protects against paraquat neurotoxicity by NRF2 activation and miR-34a inhibition in SH-SY5Y cells. Frontiers in cellular neuroscience, 9209. https://doi.org/10.3389/fncel.2015.00209
Alural, Begum, et al. "Lithium protects against paraquat neurotoxicity by NRF2 activation and miR-34a inhibition in SH-SY5Y cells." Frontiers in cellular neuroscience vol. 9 (2015): 209. doi: https://doi.org/10.3389/fncel.2015.00209
Alural B, Ozerdem A, Allmer J, Genc K, Genc S. Lithium protects against paraquat neurotoxicity by NRF2 activation and miR-34a inhibition in SH-SY5Y cells. Front Cell Neurosci. 2015 May 28;9:209. doi: 10.3389/fncel.2015.00209. eCollection 2015. PMID: 26074776; PMCID: PMC4446540.
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Delineating the impact of machine learning elements in pre-microRNA detection.

PeerJ

Saçar Demirci MD, Allmer J.
PMID: 28367373
PeerJ. 2017 Mar 29;5:e3131. doi: 10.7717/peerj.3131. eCollection 2017.

Gene regulation modulates RNA expression via transcription factors. Post-transcriptional gene regulation in turn influences the amount of protein product through, for example, microRNAs (miRNAs). Experimental establishment of miRNAs and their effects is complicated and even futile when aiming to...

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Saçar Demirci MD, Allmer J. Delineating the impact of machine learning elements in pre-microRNA detection. PeerJ. 2017;5:e3131doi: 10.7717/peerj.3131.
Saçar Demirci, M. D., & Allmer, J. (2017). Delineating the impact of machine learning elements in pre-microRNA detection. PeerJ, 5e3131. https://doi.org/10.7717/peerj.3131
Saçar Demirci, Müşerref Duygu, and Allmer, Jens. "Delineating the impact of machine learning elements in pre-microRNA detection." PeerJ vol. 5 (2017): e3131. doi: https://doi.org/10.7717/peerj.3131
Saçar Demirci MD, Allmer J. Delineating the impact of machine learning elements in pre-microRNA detection. PeerJ. 2017 Mar 29;5:e3131. doi: 10.7717/peerj.3131. eCollection 2017. PMID: 28367373; PMCID: PMC5374968.
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Foster Kennedy Syndrome Due to Meningioma Growth during Pregnancy.

Frontiers in neurology

Rodríguez-Porcel F, Hughes I, Anderson D, Lee J, Biller J.
PMID: 24273529
Front Neurol. 2013 Nov 11;4:183. doi: 10.3389/fneur.2013.00183. eCollection 2013.

Tumors of the olfactory groove may cause unilateral optic atrophy with contralateral papilledema and anosmia (Foster Kennedy syndrome). We describe a case of a young pregnant woman with Foster Kennedy syndrome due to an olfactory groove meningioma.

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Rodríguez-Porcel F, Hughes I, Anderson D, et al. Foster Kennedy Syndrome Due to Meningioma Growth during Pregnancy. Front Neurol. 2013;4:183doi: 10.3389/fneur.2013.00183.
Rodríguez-Porcel, F., Hughes, I., Anderson, D., Lee, J., & Biller, J. (2013). Foster Kennedy Syndrome Due to Meningioma Growth during Pregnancy. Frontiers in neurology, 4183. https://doi.org/10.3389/fneur.2013.00183
Rodríguez-Porcel, Federico, et al. "Foster Kennedy Syndrome Due to Meningioma Growth during Pregnancy." Frontiers in neurology vol. 4 (2013): 183. doi: https://doi.org/10.3389/fneur.2013.00183
Rodríguez-Porcel F, Hughes I, Anderson D, Lee J, Biller J. Foster Kennedy Syndrome Due to Meningioma Growth during Pregnancy. Front Neurol. 2013 Nov 11;4:183. doi: 10.3389/fneur.2013.00183. eCollection 2013. PMID: 24273529; PMCID: PMC3822324.
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Computational and bioinformatics methods for microRNA gene prediction.

Methods in molecular biology (Clifton, N.J.)

Allmer J.
PMID: 24272436
Methods Mol Biol. 2014;1107:157-75. doi: 10.1007/978-1-62703-748-8_9.

MicroRNAs (miRNAs) have attracted ever-increasing interest in recent years. Since experimental approaches for determining miRNAs are nontrivial in their application, computational methods for the prediction of miRNAs have gained popularity. Such methods can be grouped into two broad categories...

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Allmer J. Computational and bioinformatics methods for microRNA gene prediction. Methods Mol Biol. 2014;1107:157-75doi: 10.1007/978-1-62703-748-8_9.
Allmer, J. (2014). Computational and bioinformatics methods for microRNA gene prediction. Methods in molecular biology (Clifton, N.J.), 1107157-75. https://doi.org/10.1007/978-1-62703-748-8_9
Allmer, Jens. "Computational and bioinformatics methods for microRNA gene prediction." Methods in molecular biology (Clifton, N.J.) vol. 1107 (2014): 157-75. doi: https://doi.org/10.1007/978-1-62703-748-8_9
Allmer J. Computational and bioinformatics methods for microRNA gene prediction. Methods Mol Biol. 2014;1107:157-75. doi: 10.1007/978-1-62703-748-8_9. PMID: 24272436.
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Showing 1 to 12 of 254 entries