Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 166 entries
Sorted by: Best Match Show Resources per page
Youth enjoy science program at the Case Comprehensive Cancer Center: increasing engagement and opportunity for underrepresented minority students

STEM and underrepresented

Hooper MW, Papp KK, Qua K.
GSID: Y55dP4GjVwAJ
K Qua, KK Papp, DJ Junk, MW Hooper… - Ethnicity & …, 2020 - ncbi.nlm.nih.gov

… (YES) Program at the Case Comprehensive Cancer Center is a National Cancer Institute (NCI) R25-funded training grant, designed to increase the pipeline of underrepresented …

Cite
Qua, K., Papp, K. K., Junk, D. J., Hooper, M. W., & Berger, N. A. (2020). Youth enjoy science program at the Case Comprehensive Cancer Center: increasing engagement and opportunity for underrepresented minority students. Ethnicity & Disease, 30(1), 15.
Qua, Kelli, et al. "Youth enjoy science program at the Case Comprehensive Cancer Center: increasing engagement and opportunity for underrepresented minority students." Ethnicity & Disease 30.1 (2020): 15.
Copy Download .nbib Format: MLA
Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations.

PloS one

Turesson HK, Ribeiro S, Pereira DR, Papa JP, de Albuquerque VH.
PMID: 27654941
PLoS One. 2016 Sep 21;11(9):e0163041. doi: 10.1371/journal.pone.0163041. eCollection 2016.

Automatic classification of vocalization type could potentially become a useful tool for acoustic the monitoring of captive colonies of highly vocal primates. However, for classification to be useful in practice, a reliable algorithm that can be successfully trained on...

Cite
Turesson HK, Ribeiro S, Pereira DR, et al. Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations. PLoS One. 2016;11(9):e0163041doi: 10.1371/journal.pone.0163041.
Turesson, H. K., Ribeiro, S., Pereira, D. R., Papa, J. P., & de Albuquerque, V. H. (2016). Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations. PloS one, 11(9), e0163041. https://doi.org/10.1371/journal.pone.0163041
Turesson, Hjalmar K, et al. "Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations." PloS one vol. 11,9 (2016): e0163041. doi: https://doi.org/10.1371/journal.pone.0163041
Turesson HK, Ribeiro S, Pereira DR, Papa JP, de Albuquerque VH. Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations. PLoS One. 2016 Sep 21;11(9):e0163041. doi: 10.1371/journal.pone.0163041. eCollection 2016. PMID: 27654941; PMCID: PMC5031457.
Copy Download .nbib Format: NLM
Suppression of low-energy dissociative electron attachment in Fe(CO).

Beilstein journal of nanotechnology

Lengyel J, Papp P, Matejčík Š, Kočišek J, Fárník M, Fedor J.
PMID: 29114446
Beilstein J Nanotechnol. 2017 Oct 20;8:2200-2207. doi: 10.3762/bjnano.8.219. eCollection 2017.

In this work, we probe anion production upon electron interaction with Fe(CO)

Cite
Lengyel J, Papp P, Matejčík Š, et al. Suppression of low-energy dissociative electron attachment in Fe(CO). Beilstein J Nanotechnol. 2017;8:2200-2207doi: 10.3762/bjnano.8.219.
Lengyel, J., Papp, P., Matejčík, �. �., Kočišek, J., Fárník, M., & Fedor, J. (2017). Suppression of low-energy dissociative electron attachment in Fe(CO). Beilstein journal of nanotechnology, 82200-2207. https://doi.org/10.3762/bjnano.8.219
Lengyel, Jozef, et al. "Suppression of low-energy dissociative electron attachment in Fe(CO)." Beilstein journal of nanotechnology vol. 8 (2017): 2200-2207. doi: https://doi.org/10.3762/bjnano.8.219
Lengyel J, Papp P, Matejčík Š, Kočišek J, Fárník M, Fedor J. Suppression of low-energy dissociative electron attachment in Fe(CO). Beilstein J Nanotechnol. 2017 Oct 20;8:2200-2207. doi: 10.3762/bjnano.8.219. eCollection 2017. PMID: 29114446; PMCID: PMC5669234.
Copy Download .nbib Format: NLM
Electron interaction with copper(II) carboxylate compounds.

Beilstein journal of nanotechnology

Lacko M, Papp P, Szymańska IB, Szłyk E, Matejčík Š.
PMID: 29515952
Beilstein J Nanotechnol. 2018 Feb 01;9:384-398. doi: 10.3762/bjnano.9.38. eCollection 2018.

In the present study we have performed electron collision experiments with copper carboxylate complexes: [Cu

Cite
Lacko M, Papp P, Szymańska IB, et al. Electron interaction with copper(II) carboxylate compounds. Beilstein J Nanotechnol. 2018;9:384-398doi: 10.3762/bjnano.9.38.
Lacko, M., Papp, P., Szymańska, I. B., Szłyk, E., & Matejčík, �. �. (2018). Electron interaction with copper(II) carboxylate compounds. Beilstein journal of nanotechnology, 9384-398. https://doi.org/10.3762/bjnano.9.38
Lacko, Michal, et al. "Electron interaction with copper(II) carboxylate compounds." Beilstein journal of nanotechnology vol. 9 (2018): 384-398. doi: https://doi.org/10.3762/bjnano.9.38
Lacko M, Papp P, Szymańska IB, Szłyk E, Matejčík Š. Electron interaction with copper(II) carboxylate compounds. Beilstein J Nanotechnol. 2018 Feb 01;9:384-398. doi: 10.3762/bjnano.9.38. eCollection 2018. PMID: 29515952; PMCID: PMC5815308.
Copy Download .nbib Format: NLM
Mitigating oxygen loss to improve the cycling performance of high capacity cation-disordered cathode materials.

Nature communications

Lee J, Papp JK, Clément RJ, Sallis S, Kwon DH, Shi T, Yang W, McCloskey BD, Ceder G.
PMID: 29042560
Nat Commun. 2017 Oct 17;8(1):981. doi: 10.1038/s41467-017-01115-0.

Recent progress in the understanding of percolation theory points to cation-disordered lithium-excess transition metal oxides as high-capacity lithium-ion cathode materials. Nevertheless, the oxygen redox processes required for these materials to deliver high capacity can trigger oxygen loss, which leads...

Cite
Lee J, Papp JK, Clément RJ, et al. Mitigating oxygen loss to improve the cycling performance of high capacity cation-disordered cathode materials. Nat Commun. 2017;8(1):981doi: 10.1038/s41467-017-01115-0.
Lee, J., Papp, J. K., Clément, R. J., Sallis, S., Kwon, D. H., Shi, T., Yang, W., McCloskey, B. D., & Ceder, G. (2017). Mitigating oxygen loss to improve the cycling performance of high capacity cation-disordered cathode materials. Nature communications, 8(1), 981. https://doi.org/10.1038/s41467-017-01115-0
Lee, Jinhyuk, et al. "Mitigating oxygen loss to improve the cycling performance of high capacity cation-disordered cathode materials." Nature communications vol. 8,1 (2017): 981. doi: https://doi.org/10.1038/s41467-017-01115-0
Lee J, Papp JK, Clément RJ, Sallis S, Kwon DH, Shi T, Yang W, McCloskey BD, Ceder G. Mitigating oxygen loss to improve the cycling performance of high capacity cation-disordered cathode materials. Nat Commun. 2017 Oct 17;8(1):981. doi: 10.1038/s41467-017-01115-0. PMID: 29042560; PMCID: PMC5645360.
Copy Download .nbib Format: NLM
Molecular cloning, genomic organization, expression and evolution of 12S seed storage protein genes of Arabidopsis thaliana.

Plant molecular biology

Pang PP, Pruitt RE, Meyerowitz EM.
PMID: 24272631
Plant Mol Biol. 1988 Nov;11(6):805-20. doi: 10.1007/BF00019521.

We have identified a number of genes of the flowering plant Arabidopsis thaliana that are abundantly expressed during embryogenesis. In this paper we discuss four of these genes, which comprise a gene family: complete genomic nucleotide sequence of two...

Cite
Pang PP, Pruitt RE, Meyerowitz EM. Molecular cloning, genomic organization, expression and evolution of 12S seed storage protein genes of Arabidopsis thaliana. Plant Mol Biol. 1988;11(6):805-20doi: 10.1007/BF00019521.
Pang, P. P., Pruitt, R. E., & Meyerowitz, E. M. (1988). Molecular cloning, genomic organization, expression and evolution of 12S seed storage protein genes of Arabidopsis thaliana. Plant molecular biology, 11(6), 805-20. https://doi.org/10.1007/BF00019521
Pang, P P, et al. "Molecular cloning, genomic organization, expression and evolution of 12S seed storage protein genes of Arabidopsis thaliana." Plant molecular biology vol. 11,6 (1988): 805-20. doi: https://doi.org/10.1007/BF00019521
Pang PP, Pruitt RE, Meyerowitz EM. Molecular cloning, genomic organization, expression and evolution of 12S seed storage protein genes of Arabidopsis thaliana. Plant Mol Biol. 1988 Nov;11(6):805-20. doi: 10.1007/BF00019521. PMID: 24272631.
Copy Download .nbib Format: NLM
Brain-Wide Mapping of Axonal Connections: Workflow for Automated Detection and Spatial Analysis of Labeling in Microscopic Sections.

Frontiers in neuroinformatics

Papp EA, Leergaard TB, Csucs G, Bjaalie JG.
PMID: 27148038
Front Neuroinform. 2016 Apr 19;10:11. doi: 10.3389/fninf.2016.00011. eCollection 2016.

Axonal tracing techniques are powerful tools for exploring the structural organization of neuronal connections. Tracers such as biotinylated dextran amine (BDA) and Phaseolus vulgaris leucoagglutinin (Pha-L) allow brain-wide mapping of connections through analysis of large series of histological section...

Cite
Papp EA, Leergaard TB, Csucs G, et al. Brain-Wide Mapping of Axonal Connections: Workflow for Automated Detection and Spatial Analysis of Labeling in Microscopic Sections. Front Neuroinform. 2016;10:11doi: 10.3389/fninf.2016.00011.
Papp, E. A., Leergaard, T. B., Csucs, G., & Bjaalie, J. G. (2016). Brain-Wide Mapping of Axonal Connections: Workflow for Automated Detection and Spatial Analysis of Labeling in Microscopic Sections. Frontiers in neuroinformatics, 1011. https://doi.org/10.3389/fninf.2016.00011
Papp, Eszter A, et al. "Brain-Wide Mapping of Axonal Connections: Workflow for Automated Detection and Spatial Analysis of Labeling in Microscopic Sections." Frontiers in neuroinformatics vol. 10 (2016): 11. doi: https://doi.org/10.3389/fninf.2016.00011
Papp EA, Leergaard TB, Csucs G, Bjaalie JG. Brain-Wide Mapping of Axonal Connections: Workflow for Automated Detection and Spatial Analysis of Labeling in Microscopic Sections. Front Neuroinform. 2016 Apr 19;10:11. doi: 10.3389/fninf.2016.00011. eCollection 2016. PMID: 27148038; PMCID: PMC4835481.
Copy Download .nbib Format: NLM
Quality assurance challenges in X-ray emission based analyses, the advantage of digital signal processing.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry

Papp T, Papp AT, Maxwell JA.
PMID: 16038487
Anal Sci. 2005 Jul;21(7):737-45. doi: 10.2116/analsci.21.737.

There is a large scatter in the results of X-ray analysis with solid-state detectors suggesting methodological origin. In order to improve the methodology, detector response functions have been investigated by many researchers and analysts. This was necessary as the...

Cite
Papp T, Papp AT, Maxwell JA. Quality assurance challenges in X-ray emission based analyses, the advantage of digital signal processing. Anal Sci. 2005;21(7):737-45doi: 10.2116/analsci.21.737.
Papp, T., Papp, A. T., & Maxwell, J. A. (2005). Quality assurance challenges in X-ray emission based analyses, the advantage of digital signal processing. Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 21(7), 737-45. https://doi.org/10.2116/analsci.21.737
Papp, T, et al. "Quality assurance challenges in X-ray emission based analyses, the advantage of digital signal processing." Analytical sciences : the international journal of the Japan Society for Analytical Chemistry vol. 21,7 (2005): 737-45. doi: https://doi.org/10.2116/analsci.21.737
Papp T, Papp AT, Maxwell JA. Quality assurance challenges in X-ray emission based analyses, the advantage of digital signal processing. Anal Sci. 2005 Jul;21(7):737-45. doi: 10.2116/analsci.21.737. PMID: 16038487.
Copy Download .nbib Format: NLM
Genotyping panel for assessing response to cancer chemotherapy.

BMC medical genomics

Dai Z, Papp AC, Wang D, Hampel H, Sadee W.
PMID: 18547414
BMC Med Genomics. 2008 Jun 11;1:24. doi: 10.1186/1755-8794-1-24.

BACKGROUND: Variants in numerous genes are thought to affect the success or failure of cancer chemotherapy. Interindividual variability can result from genes involved in drug metabolism and transport, drug targets (receptors, enzymes, etc), and proteins relevant to cell survival...

Cite
Dai Z, Papp AC, Wang D, et al. Genotyping panel for assessing response to cancer chemotherapy. BMC Med Genomics. 2008;1:24doi: 10.1186/1755-8794-1-24.
Dai, Z., Papp, A. C., Wang, D., Hampel, H., & Sadee, W. (2008). Genotyping panel for assessing response to cancer chemotherapy. BMC medical genomics, 124. https://doi.org/10.1186/1755-8794-1-24
Dai, Zunyan, et al. "Genotyping panel for assessing response to cancer chemotherapy." BMC medical genomics vol. 1 (2008): 24. doi: https://doi.org/10.1186/1755-8794-1-24
Dai Z, Papp AC, Wang D, Hampel H, Sadee W. Genotyping panel for assessing response to cancer chemotherapy. BMC Med Genomics. 2008 Jun 11;1:24. doi: 10.1186/1755-8794-1-24. PMID: 18547414; PMCID: PMC2442111.
Copy Download .nbib Format: NLM
Subtyping patients with heroin addiction at treatment entry: factor derived from the Self-Report Symptom Inventory (SCL-90).

Annals of general psychiatry

Maremmani I, Pani PP, Pacini M, Bizzarri JV, Trogu E, Maremmani AG, Gerra G, Perugi G, Dell'Osso L.
PMID: 20388223
Ann Gen Psychiatry. 2010 Apr 13;9:15. doi: 10.1186/1744-859X-9-15.

BACKGROUND: Addiction is a relapsing chronic condition in which psychiatric phenomena play a crucial role. Psychopathological symptoms in patients with heroin addiction are generally considered to be part of the drug addict's personality, or else to be related to...

Cite
Maremmani I, Pani PP, Pacini M, et al. Subtyping patients with heroin addiction at treatment entry: factor derived from the Self-Report Symptom Inventory (SCL-90). Ann Gen Psychiatry. 2010;9:15doi: 10.1186/1744-859X-9-15.
Maremmani, I., Pani, P. P., Pacini, M., Bizzarri, J. V., Trogu, E., Maremmani, A. G., Gerra, G., Perugi, G., & Dell'Osso, L. (2010). Subtyping patients with heroin addiction at treatment entry: factor derived from the Self-Report Symptom Inventory (SCL-90). Annals of general psychiatry, 915. https://doi.org/10.1186/1744-859X-9-15
Maremmani, Icro, et al. "Subtyping patients with heroin addiction at treatment entry: factor derived from the Self-Report Symptom Inventory (SCL-90)." Annals of general psychiatry vol. 9 (2010): 15. doi: https://doi.org/10.1186/1744-859X-9-15
Maremmani I, Pani PP, Pacini M, Bizzarri JV, Trogu E, Maremmani AG, Gerra G, Perugi G, Dell'Osso L. Subtyping patients with heroin addiction at treatment entry: factor derived from the Self-Report Symptom Inventory (SCL-90). Ann Gen Psychiatry. 2010 Apr 13;9:15. doi: 10.1186/1744-859X-9-15. PMID: 20388223; PMCID: PMC2861658.
Copy Download .nbib Format: NLM
Canadian Aeronautics and Space Institute (B3).

Science (New York, N.Y.)

Lapp PA.
PMID: 17793576
Science. 1965 Feb 19;147(3660):920-1. doi: 10.1126/science.147.3660.920-b.

No abstract available.

Cite
Lapp PA. Canadian Aeronautics and Space Institute (B3). Science. 1965;147(3660):920-1doi: 10.1126/science.147.3660.920-b.
Lapp, P. A. (1965). Canadian Aeronautics and Space Institute (B3). Science (New York, N.Y.), 147(3660), 920-1. https://doi.org/10.1126/science.147.3660.920-b
Lapp, P A. "Canadian Aeronautics and Space Institute (B3)." Science (New York, N.Y.) vol. 147,3660 (1965): 920-1. doi: https://doi.org/10.1126/science.147.3660.920-b
Lapp PA. Canadian Aeronautics and Space Institute (B3). Science. 1965 Feb 19;147(3660):920-1. doi: 10.1126/science.147.3660.920-b. PMID: 17793576.
Copy Download .nbib Format: NLM
The systems genetics resource: a web application to mine global data for complex disease traits.

Frontiers in genetics

van Nas A, Pan C, Ingram-Drake LA, Ghazalpour A, Drake TA, Sobel EM, Papp JC, Lusis AJ.
PMID: 23730305
Front Genet. 2013 May 20;4:84. doi: 10.3389/fgene.2013.00084. eCollection 2013.

The Systems Genetics Resource (SGR) (http://systems.genetics.ucla.edu) is a new open-access web application and database that contains genotypes and clinical and intermediate phenotypes from both human and mouse studies. The mouse data include studies using crosses between specific inbred strains...

Cite
van Nas A, Pan C, Ingram-Drake LA, et al. The systems genetics resource: a web application to mine global data for complex disease traits. Front Genet. 2013;4:84doi: 10.3389/fgene.2013.00084.
van Nas, A., Pan, C., Ingram-Drake, L. A., Ghazalpour, A., Drake, T. A., Sobel, E. M., Papp, J. C., & Lusis, A. J. (2013). The systems genetics resource: a web application to mine global data for complex disease traits. Frontiers in genetics, 484. https://doi.org/10.3389/fgene.2013.00084
van Nas, Atila, et al. "The systems genetics resource: a web application to mine global data for complex disease traits." Frontiers in genetics vol. 4 (2013): 84. doi: https://doi.org/10.3389/fgene.2013.00084
van Nas A, Pan C, Ingram-Drake LA, Ghazalpour A, Drake TA, Sobel EM, Papp JC, Lusis AJ. The systems genetics resource: a web application to mine global data for complex disease traits. Front Genet. 2013 May 20;4:84. doi: 10.3389/fgene.2013.00084. eCollection 2013. PMID: 23730305; PMCID: PMC3657633.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 166 entries