Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 237 entries
Sorted by: Best Match Show Resources per page
Progress in mathematical ecology

diversity

Petrovskii S.
GSID: XQaSQmW9SfEJ
S Petrovskii - Mathematics, 2018 - mdpi.com

Mathematical modelling plays a special role in ecology. Although traditional ecology is a largely empirical science, replicated experiments are not often possible because of the high …

Cite
Petrovskii, S. (2018). Progress in mathematical ecology. Mathematics, 6(9), 167.
Petrovskii, Sergei. "Progress in mathematical ecology." Mathematics 6.9 (2018): 167.
Copy Download .nbib Format: MLA
Erratum to: Effects of Mental Stress Induction on Heart Rate Variability in Patients with Panic Disorder.

Applied psychophysiology and biofeedback

Petrowski K, Wichmann S, Siepmann T, Wintermann GB, Bornstein SR, Siepmann M.
PMID: 28357597
Appl Psychophysiol Biofeedback. 2017 Jun;42(2):95. doi: 10.1007/s10484-017-9357-1.

No abstract available.

Cite
Petrowski K, Wichmann S, Siepmann T, et al. Erratum to: Effects of Mental Stress Induction on Heart Rate Variability in Patients with Panic Disorder. Appl Psychophysiol Biofeedback. 2017;42(2):95doi: 10.1007/s10484-017-9357-1.
Petrowski, K., Wichmann, S., Siepmann, T., Wintermann, G. B., Bornstein, S. R., & Siepmann, M. (2017). Erratum to: Effects of Mental Stress Induction on Heart Rate Variability in Patients with Panic Disorder. Applied psychophysiology and biofeedback, 42(2), 95. https://doi.org/10.1007/s10484-017-9357-1
Petrowski, Katja, et al. "Erratum to: Effects of Mental Stress Induction on Heart Rate Variability in Patients with Panic Disorder." Applied psychophysiology and biofeedback vol. 42,2 (2017): 95. doi: https://doi.org/10.1007/s10484-017-9357-1
Petrowski K, Wichmann S, Siepmann T, Wintermann GB, Bornstein SR, Siepmann M. Erratum to: Effects of Mental Stress Induction on Heart Rate Variability in Patients with Panic Disorder. Appl Psychophysiol Biofeedback. 2017 Jun;42(2):95. doi: 10.1007/s10484-017-9357-1. PMID: 28357597.
Copy Download .nbib Format: NLM
Hybrid computing using a neural network with dynamic external memory.

Nature

Graves A, Wayne G, Reynolds M, Harley T, Danihelka I, Grabska-Barwińska A, Colmenarejo SG, Grefenstette E, Ramalho T, Agapiou J, Badia AP, Hermann KM, Zwols Y, Ostrovski G, Cain A, King H, Summerfield C, Blunsom P, Kavukcuoglu K, Hassabis D.
PMID: 27732574
Nature. 2016 Oct 27;538(7626):471-476. doi: 10.1038/nature20101. Epub 2016 Oct 12.

Artificial neural networks are remarkably adept at sensory processing, sequence learning and reinforcement learning, but are limited in their ability to represent variables and data structures and to store data over long timescales, owing to the lack of an...

Cite
Graves A, Wayne G, Reynolds M, et al. Hybrid computing using a neural network with dynamic external memory. Nature. 2016;538(7626):471-476doi: 10.1038/nature20101.
Graves, A., Wayne, G., Reynolds, M., Harley, T., Danihelka, I., Grabska-Barwińska, A., Colmenarejo, S. G., Grefenstette, E., Ramalho, T., Agapiou, J., Badia, A. P., Hermann, K. M., Zwols, Y., Ostrovski, G., Cain, A., King, H., Summerfield, C., Blunsom, P., Kavukcuoglu, K., & Hassabis, D. (2016). Hybrid computing using a neural network with dynamic external memory. Nature, 538(7626), 471-476. https://doi.org/10.1038/nature20101
Graves, Alex, et al. "Hybrid computing using a neural network with dynamic external memory." Nature vol. 538,7626 (2016): 471-476. doi: https://doi.org/10.1038/nature20101
Graves A, Wayne G, Reynolds M, Harley T, Danihelka I, Grabska-Barwińska A, Colmenarejo SG, Grefenstette E, Ramalho T, Agapiou J, Badia AP, Hermann KM, Zwols Y, Ostrovski G, Cain A, King H, Summerfield C, Blunsom P, Kavukcuoglu K, Hassabis D. Hybrid computing using a neural network with dynamic external memory. Nature. 2016 Oct 27;538(7626):471-476. doi: 10.1038/nature20101. Epub 2016 Oct 12. PMID: 27732574.
Copy Download .nbib Format: NLM
Sustained therapeutic response to riboflavin in a child with a progressive neurological condition, diagnosed by whole-exome sequencing.

Cold Spring Harbor molecular case studies

Shashi V, Petrovski S, Schoch K, Crimian R, Case LE, Khalid R, El-Dairi MA, Jiang YH, Mikati MA, Goldstein DB.
PMID: 27148562
Cold Spring Harb Mol Case Stud. 2015 Oct;1(1):a000265. doi: 10.1101/mcs.a000265.

One of the most promising outcomes of whole-exome sequencing (WES) is the alteration of medical management following an accurate diagnosis in patients with previously unresolved disorders. Although case reports of targeted therapies resulting from WES have been published, there...

Cite
Shashi V, Petrovski S, Schoch K, et al. Sustained therapeutic response to riboflavin in a child with a progressive neurological condition, diagnosed by whole-exome sequencing. Cold Spring Harb Mol Case Stud. 2015;1(1):a000265doi: 10.1101/mcs.a000265.
Shashi, V., Petrovski, S., Schoch, K., Crimian, R., Case, L. E., Khalid, R., El-Dairi, M. A., Jiang, Y. H., Mikati, M. A., & Goldstein, D. B. (2015). Sustained therapeutic response to riboflavin in a child with a progressive neurological condition, diagnosed by whole-exome sequencing. Cold Spring Harbor molecular case studies, 1(1), a000265. https://doi.org/10.1101/mcs.a000265
Shashi, Vandana, et al. "Sustained therapeutic response to riboflavin in a child with a progressive neurological condition, diagnosed by whole-exome sequencing." Cold Spring Harbor molecular case studies vol. 1,1 (2015): a000265. doi: https://doi.org/10.1101/mcs.a000265
Shashi V, Petrovski S, Schoch K, Crimian R, Case LE, Khalid R, El-Dairi MA, Jiang YH, Mikati MA, Goldstein DB. Sustained therapeutic response to riboflavin in a child with a progressive neurological condition, diagnosed by whole-exome sequencing. Cold Spring Harb Mol Case Stud. 2015 Oct;1(1):a000265. doi: 10.1101/mcs.a000265. PMID: 27148562; PMCID: PMC4850881.
Copy Download .nbib Format: NLM
PRED(TAP): a system for prediction of peptide binding to the human transporter associated with antigen processing.

Immunome research

Zhang GL, Petrovsky N, Kwoh CK, August JT, Brusic V.
PMID: 16719926
Immunome Res. 2006 May 23;2:3. doi: 10.1186/1745-7580-2-3.

BACKGROUND: The transporter associated with antigen processing (TAP) is a critical component of the major histocompatibility complex (MHC) class I antigen processing and presentation pathway. TAP transports antigenic peptides into the endoplasmic reticulum where it loads them into the...

Cite
Zhang GL, Petrovsky N, Kwoh CK, et al. PRED(TAP): a system for prediction of peptide binding to the human transporter associated with antigen processing. Immunome Res. 2006;2:3doi: 10.1186/1745-7580-2-3.
Zhang, G. L., Petrovsky, N., Kwoh, C. K., August, J. T., & Brusic, V. (2006). PRED(TAP): a system for prediction of peptide binding to the human transporter associated with antigen processing. Immunome research, 23. https://doi.org/10.1186/1745-7580-2-3
Zhang, Guang Lan, et al. "PRED(TAP): a system for prediction of peptide binding to the human transporter associated with antigen processing." Immunome research vol. 2 (2006): 3. doi: https://doi.org/10.1186/1745-7580-2-3
Zhang GL, Petrovsky N, Kwoh CK, August JT, Brusic V. PRED(TAP): a system for prediction of peptide binding to the human transporter associated with antigen processing. Immunome Res. 2006 May 23;2:3. doi: 10.1186/1745-7580-2-3. PMID: 16719926; PMCID: PMC1524936.
Copy Download .nbib Format: NLM
Filament formation by metabolic enzymes is a specific adaptation to an advanced state of cellular starvation.

eLife

Petrovska I, Nüske E, Munder MC, Kulasegaran G, Malinovska L, Kroschwald S, Richter D, Fahmy K, Gibson K, Verbavatz JM, Alberti S.
PMID: 24771766
Elife. 2014 Apr 25; doi: 10.7554/eLife.02409. Epub 2014 Apr 25.

One of the key questions in biology is how the metabolism of a cell responds to changes in the environment. In budding yeast, starvation causes a drop in intracellular pH, but the functional role of this pH change is...

Cite
Petrovska I, Nüske E, Munder MC, et al. Filament formation by metabolic enzymes is a specific adaptation to an advanced state of cellular starvation. Elife. 2014;doi: 10.7554/eLife.02409.
Petrovska, I., Nüske, E., Munder, M. C., Kulasegaran, G., Malinovska, L., Kroschwald, S., Richter, D., Fahmy, K., Gibson, K., Verbavatz, J. M., & Alberti, S. (2014). Filament formation by metabolic enzymes is a specific adaptation to an advanced state of cellular starvation. eLife, . https://doi.org/10.7554/eLife.02409
Petrovska, Ivana, et al. "Filament formation by metabolic enzymes is a specific adaptation to an advanced state of cellular starvation." eLife vol. (2014). doi: https://doi.org/10.7554/eLife.02409
Petrovska I, Nüske E, Munder MC, Kulasegaran G, Malinovska L, Kroschwald S, Richter D, Fahmy K, Gibson K, Verbavatz JM, Alberti S. Filament formation by metabolic enzymes is a specific adaptation to an advanced state of cellular starvation. Elife. 2014 Apr 25; doi: 10.7554/eLife.02409. Epub 2014 Apr 25. PMID: 24771766; PMCID: PMC4011332.
Copy Download .nbib Format: NLM
Computational ecology as an emerging science.

Interface focus

Petrovskii S, Petrovskaya N.
PMID: 23565336
Interface Focus. 2012 Apr 06;2(2):241-54. doi: 10.1098/rsfs.2011.0083. Epub 2012 Jan 05.

It has long been recognized that numerical modelling and computer simulations can be used as a powerful research tool to understand, and sometimes to predict, the tendencies and peculiarities in the dynamics of populations and ecosystems. It has been,...

Cite
Petrovskii S, Petrovskaya N. Computational ecology as an emerging science. Interface Focus. 2012;2(2):241-54doi: 10.1098/rsfs.2011.0083.
Petrovskii, S., & Petrovskaya, N. (2012). Computational ecology as an emerging science. Interface focus, 2(2), 241-54. https://doi.org/10.1098/rsfs.2011.0083
Petrovskii, Sergei, and Petrovskaya, Natalia. "Computational ecology as an emerging science." Interface focus vol. 2,2 (2012): 241-54. doi: https://doi.org/10.1098/rsfs.2011.0083
Petrovskii S, Petrovskaya N. Computational ecology as an emerging science. Interface Focus. 2012 Apr 06;2(2):241-54. doi: 10.1098/rsfs.2011.0083. Epub 2012 Jan 05. PMID: 23565336; PMCID: PMC3293204.
Copy Download .nbib Format: NLM
X-ray emission spectra of graphene nanosheets.

Journal of nanoscience and nanotechnology

Ilkiv B, Petrovska S, Sergiienko R, Tomai T, Shibata E, Nakamura T, Honma I, Zaulychnyy Y.
PMID: 23447938
J Nanosci Nanotechnol. 2012 Dec;12(12):8913-9. doi: 10.1166/jnn.2012.6787.

Investigations of the electronic structure of graphene nanosheets synthesized by the reduction of oxidized graphene nanosheets were carried out using ultra-soft X-ray emission spectroscopy (USXES). Oxidized graphene nanosheets were produced from carbon nanofiber starting material using a modified Hummers...

Cite
Ilkiv B, Petrovska S, Sergiienko R, et al. X-ray emission spectra of graphene nanosheets. J Nanosci Nanotechnol. 2012;12(12):8913-9doi: 10.1166/jnn.2012.6787.
Ilkiv, B., Petrovska, S., Sergiienko, R., Tomai, T., Shibata, E., Nakamura, T., Honma, I., & Zaulychnyy, Y. (2012). X-ray emission spectra of graphene nanosheets. Journal of nanoscience and nanotechnology, 12(12), 8913-9. https://doi.org/10.1166/jnn.2012.6787
Ilkiv, Bogdan, et al. "X-ray emission spectra of graphene nanosheets." Journal of nanoscience and nanotechnology vol. 12,12 (2012): 8913-9. doi: https://doi.org/10.1166/jnn.2012.6787
Ilkiv B, Petrovska S, Sergiienko R, Tomai T, Shibata E, Nakamura T, Honma I, Zaulychnyy Y. X-ray emission spectra of graphene nanosheets. J Nanosci Nanotechnol. 2012 Dec;12(12):8913-9. doi: 10.1166/jnn.2012.6787. PMID: 23447938.
Copy Download .nbib Format: NLM
Self-reported fatigue following intensive care of chronically critically ill patients: a prospective cohort study.

Journal of intensive care

Wintermann GB, Rosendahl J, Weidner K, Strauß B, Hinz A, Petrowski K.
PMID: 29744108
J Intensive Care. 2018 May 02;6:27. doi: 10.1186/s40560-018-0295-7. eCollection 2018.

BACKGROUND: Protracted treatment on intensive care unit (ICU) sets the patients at increased risk for the development of chronic critical illness (CCI). Muscular and cardio-respiratory deconditioning are common long-term sequelae, going along with a state of chronic fatigue. At...

Cite
Wintermann GB, Rosendahl J, Weidner K, et al. Self-reported fatigue following intensive care of chronically critically ill patients: a prospective cohort study. J Intensive Care. 2018;6:27doi: 10.1186/s40560-018-0295-7.
Wintermann, G. B., Rosendahl, J., Weidner, K., Strauß, B., Hinz, A., & Petrowski, K. (2018). Self-reported fatigue following intensive care of chronically critically ill patients: a prospective cohort study. Journal of intensive care, 627. https://doi.org/10.1186/s40560-018-0295-7
Wintermann, Gloria-Beatrice, et al. "Self-reported fatigue following intensive care of chronically critically ill patients: a prospective cohort study." Journal of intensive care vol. 6 (2018): 27. doi: https://doi.org/10.1186/s40560-018-0295-7
Wintermann GB, Rosendahl J, Weidner K, Strauß B, Hinz A, Petrowski K. Self-reported fatigue following intensive care of chronically critically ill patients: a prospective cohort study. J Intensive Care. 2018 May 02;6:27. doi: 10.1186/s40560-018-0295-7. eCollection 2018. PMID: 29744108; PMCID: PMC5930426.
Copy Download .nbib Format: NLM
Magnetic mapping of distribution of wood ash used for fertilization of forest soil.

The Science of the total environment

Petrovský E, Remeš J, Kapička A, Podrázský V, Grison H, Borůvka L.
PMID: 29348064
Sci Total Environ. 2018 Jun 01;626:228-234. doi: 10.1016/j.scitotenv.2018.01.095. Epub 2018 Feb 19.

The effect of wood-ash fertilization on forest soils has been assessed mainly through geochemical methods (e.g., content of soil organic matter or nutrients). However, a simple and fast method of determining the distribution of the ash and the extent...

Cite
Petrovský E, Remeš J, Kapička A, et al. Magnetic mapping of distribution of wood ash used for fertilization of forest soil. Sci Total Environ. 2018;626:228-234doi: 10.1016/j.scitotenv.2018.01.095.
Petrovský, E., Remeš, J., Kapička, A., Podrázský, V., Grison, H., & Borůvka, L. (2018). Magnetic mapping of distribution of wood ash used for fertilization of forest soil. The Science of the total environment, 626228-234. https://doi.org/10.1016/j.scitotenv.2018.01.095
Petrovský, Eduard, et al. "Magnetic mapping of distribution of wood ash used for fertilization of forest soil." The Science of the total environment vol. 626 (2018): 228-234. doi: https://doi.org/10.1016/j.scitotenv.2018.01.095
Petrovský E, Remeš J, Kapička A, Podrázský V, Grison H, Borůvka L. Magnetic mapping of distribution of wood ash used for fertilization of forest soil. Sci Total Environ. 2018 Jun 01;626:228-234. doi: 10.1016/j.scitotenv.2018.01.095. Epub 2018 Feb 19. PMID: 29348064.
Copy Download .nbib Format: NLM
Development of a rapid functional assay that predicts GLUT1 disease severity.

Neurology. Genetics

Zaman SM, Mullen SA, Petrovski S, Maljevic S, Gazina EV, Phillips AM, Jones GD, Hildebrand MS, Damiano J, Auvin S, Lerche H, Weber YG, Berkovic SF, Scheffer IE, Reid CA, Petrou S.
PMID: 30588498
Neurol Genet. 2018 Dec 06;4(6):e297. doi: 10.1212/NXG.0000000000000297. eCollection 2018 Dec.

OBJECTIVE: To examine the genotype to phenotype connection in glucose transporter type 1 (GLUT1) deficiency and whether a simple functional assay can predict disease outcome from genetic sequence alone.METHODS: GLUT1 deficiency, due to mutations in RESULTS: Disease severity inversely...

Cite
Zaman SM, Mullen SA, Petrovski S, et al. Development of a rapid functional assay that predicts GLUT1 disease severity. Neurol Genet. 2018;4(6):e297doi: 10.1212/NXG.0000000000000297.
Zaman, S. M., Mullen, S. A., Petrovski, S., Maljevic, S., Gazina, E. V., Phillips, A. M., Jones, G. D., Hildebrand, M. S., Damiano, J., Auvin, S., Lerche, H., Weber, Y. G., Berkovic, S. F., Scheffer, I. E., Reid, C. A., & Petrou, S. (2018). Development of a rapid functional assay that predicts GLUT1 disease severity. Neurology. Genetics, 4(6), e297. https://doi.org/10.1212/NXG.0000000000000297
Zaman, Sasha M, et al. "Development of a rapid functional assay that predicts GLUT1 disease severity." Neurology. Genetics vol. 4,6 (2018): e297. doi: https://doi.org/10.1212/NXG.0000000000000297
Zaman SM, Mullen SA, Petrovski S, Maljevic S, Gazina EV, Phillips AM, Jones GD, Hildebrand MS, Damiano J, Auvin S, Lerche H, Weber YG, Berkovic SF, Scheffer IE, Reid CA, Petrou S. Development of a rapid functional assay that predicts GLUT1 disease severity. Neurol Genet. 2018 Dec 06;4(6):e297. doi: 10.1212/NXG.0000000000000297. eCollection 2018 Dec. PMID: 30588498; PMCID: PMC6290489.
Copy Download .nbib Format: NLM
Antimicrobial Resistance Diversity Suggestive of Distinct .

Frontiers in microbiology

Mellor KC, Petrovska L, Thomson NR, Harris K, Reid SWJ, Mather AE.
PMID: 31031720
Front Microbiol. 2019 Apr 12;10:708. doi: 10.3389/fmicb.2019.00708. eCollection 2019.

No abstract available.

Cite
Mellor KC, Petrovska L, Thomson NR, et al. Antimicrobial Resistance Diversity Suggestive of Distinct . Front Microbiol. 2019;10:708doi: 10.3389/fmicb.2019.00708.
Mellor, K. C., Petrovska, L., Thomson, N. R., Harris, K., Reid, S. W. J., & Mather, A. E. (2019). Antimicrobial Resistance Diversity Suggestive of Distinct . Frontiers in microbiology, 10708. https://doi.org/10.3389/fmicb.2019.00708
Mellor, Kate C, et al. "Antimicrobial Resistance Diversity Suggestive of Distinct ." Frontiers in microbiology vol. 10 (2019): 708. doi: https://doi.org/10.3389/fmicb.2019.00708
Mellor KC, Petrovska L, Thomson NR, Harris K, Reid SWJ, Mather AE. Antimicrobial Resistance Diversity Suggestive of Distinct . Front Microbiol. 2019 Apr 12;10:708. doi: 10.3389/fmicb.2019.00708. eCollection 2019. PMID: 31031720; PMCID: PMC6473194.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 237 entries