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A versatile depigmentation, clearing, and labeling method for exploring nervous system diversity.

Science advances

Pende M, Vadiwala K, Schmidbaur H, Stockinger AW, Murawala P, Saghafi S, Dekens MPS, Becker K, Revilla-I-Domingo R, Papadopoulos SC, Zurl M, Pasierbek P, Simakov O, Tanaka EM, Raible F, Dodt HU.
PMID: 32523996
Sci Adv. 2020 May 29;6(22):eaba0365. doi: 10.1126/sciadv.aba0365. eCollection 2020 May.

Tissue clearing combined with deep imaging has emerged as a powerful alternative to classical histological techniques. Whereas current techniques have been optimized for imaging selected nonpigmented organs such as the mammalian brain, natural pigmentation remains challenging for most other...

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Pende M, Vadiwala K, Schmidbaur H, et al. A versatile depigmentation, clearing, and labeling method for exploring nervous system diversity. Sci Adv. 2020;6(22):eaba0365doi: 10.1126/sciadv.aba0365.
Pende, M., Vadiwala, K., Schmidbaur, H., Stockinger, A. W., Murawala, P., Saghafi, S., Dekens, M. P. S., Becker, K., Revilla-I-Domingo, R., Papadopoulos, S. C., Zurl, M., Pasierbek, P., Simakov, O., Tanaka, E. M., Raible, F., & Dodt, H. U. (2020). A versatile depigmentation, clearing, and labeling method for exploring nervous system diversity. Science advances, 6(22), eaba0365. https://doi.org/10.1126/sciadv.aba0365
Pende, Marko, et al. "A versatile depigmentation, clearing, and labeling method for exploring nervous system diversity." Science advances vol. 6,22 (2020): eaba0365. doi: https://doi.org/10.1126/sciadv.aba0365
Pende M, Vadiwala K, Schmidbaur H, Stockinger AW, Murawala P, Saghafi S, Dekens MPS, Becker K, Revilla-I-Domingo R, Papadopoulos SC, Zurl M, Pasierbek P, Simakov O, Tanaka EM, Raible F, Dodt HU. A versatile depigmentation, clearing, and labeling method for exploring nervous system diversity. Sci Adv. 2020 May 29;6(22):eaba0365. doi: 10.1126/sciadv.aba0365. eCollection 2020 May. PMID: 32523996; PMCID: PMC7259959.
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Querying knowledge graphs in natural language.

Journal of big data

Liang S, Stockinger K, de Farias TM, Anisimova M, Gil M.
PMID: 33489717
J Big Data. 2021;8(1):3. doi: 10.1186/s40537-020-00383-w. Epub 2021 Jan 06.

Knowledge graphs are a powerful concept for querying large amounts of data. These knowledge graphs are typically enormous and are often not easily accessible to end-users because they require specialized knowledge in query languages such as SPARQL. Moreover, end-users...

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Liang S, Stockinger K, de Farias TM, et al. Querying knowledge graphs in natural language. J Big Data. 2021;8(1):3doi: 10.1186/s40537-020-00383-w.
Liang, S., Stockinger, K., de Farias, T. M., Anisimova, M., & Gil, M. (2021). Querying knowledge graphs in natural language. Journal of big data, 8(1), 3. https://doi.org/10.1186/s40537-020-00383-w
Liang, Shiqi, et al. "Querying knowledge graphs in natural language." Journal of big data vol. 8,1 (2021): 3. doi: https://doi.org/10.1186/s40537-020-00383-w
Liang S, Stockinger K, de Farias TM, Anisimova M, Gil M. Querying knowledge graphs in natural language. J Big Data. 2021;8(1):3. doi: 10.1186/s40537-020-00383-w. Epub 2021 Jan 06. PMID: 33489717; PMCID: PMC7799375.
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Persistent Anti-.

Microbiology spectrum

Markowicz M, Reiter M, Gamper J, Stanek G, Stockinger H.
PMID: 34937165
Microbiol Spectr. 2021 Dec 22;9(3):e0102021. doi: 10.1128/Spectrum.01020-21. Epub 2021 Dec 22.

The aim of the study was to investigate the etiology of persistent IgM antibodies against Borrelia burgdorferi sensu lato (sl) and to analyze their association with nonspecific symptoms. The study group comprised individuals with persistent IgM antibodies in the...

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Markowicz M, Reiter M, Gamper J, et al. Persistent Anti-. Microbiol Spectr. 2021;9(3):e0102021doi: 10.1128/Spectrum.01020-21.
Markowicz, M., Reiter, M., Gamper, J., Stanek, G., & Stockinger, H. (2021). Persistent Anti-. Microbiology spectrum, 9(3), e0102021. https://doi.org/10.1128/Spectrum.01020-21
Markowicz, Mateusz, et al. "Persistent Anti-." Microbiology spectrum vol. 9,3 (2021): e0102021. doi: https://doi.org/10.1128/Spectrum.01020-21
Markowicz M, Reiter M, Gamper J, Stanek G, Stockinger H. Persistent Anti-. Microbiol Spectr. 2021 Dec 22;9(3):e0102021. doi: 10.1128/Spectrum.01020-21. Epub 2021 Dec 22. PMID: 34937165; PMCID: PMC8694107.
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Perspectives on Low Temperature Tolerance and Vernalization Sensitivity in Barley: Prospects for Facultative Growth Habit.

Frontiers in plant science

Muñoz-Amatriaín M, Hernandez J, Herb D, Baenziger PS, Bochard AM, Capettini F, Casas A, Cuesta-Marcos A, Einfeldt C, Fisk S, Genty A, Helgerson L, Herz M, Hu G, Igartua E, Karsai I, Nakamura T, Sato K, Smith K, Stockinger E, Thomas W, Hayes P.
PMID: 33469459
Front Plant Sci. 2020 Nov 09;11:585927. doi: 10.3389/fpls.2020.585927. eCollection 2020.

One option to achieving greater resiliency for barley production in the face of climate change is to explore the potential of winter and facultative growth habits: for both types, low temperature tolerance (LTT) and vernalization sensitivity are key traits....

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Muñoz-Amatriaín M, Hernandez J, Herb D, et al. Perspectives on Low Temperature Tolerance and Vernalization Sensitivity in Barley: Prospects for Facultative Growth Habit. Front Plant Sci. 2020;11:585927doi: 10.3389/fpls.2020.585927.
Muñoz-Amatriaín, M., Hernandez, J., Herb, D., Baenziger, P. S., Bochard, A. M., Capettini, F., Casas, A., Cuesta-Marcos, A., Einfeldt, C., Fisk, S., Genty, A., Helgerson, L., Herz, M., Hu, G., Igartua, E., Karsai, I., Nakamura, T., Sato, K., Smith, K., Stockinger, E., Thomas, W., & Hayes, P. (2020). Perspectives on Low Temperature Tolerance and Vernalization Sensitivity in Barley: Prospects for Facultative Growth Habit. Frontiers in plant science, 11585927. https://doi.org/10.3389/fpls.2020.585927
Muñoz-Amatriaín, María, et al. "Perspectives on Low Temperature Tolerance and Vernalization Sensitivity in Barley: Prospects for Facultative Growth Habit." Frontiers in plant science vol. 11 (2020): 585927. doi: https://doi.org/10.3389/fpls.2020.585927
Muñoz-Amatriaín M, Hernandez J, Herb D, Baenziger PS, Bochard AM, Capettini F, Casas A, Cuesta-Marcos A, Einfeldt C, Fisk S, Genty A, Helgerson L, Herz M, Hu G, Igartua E, Karsai I, Nakamura T, Sato K, Smith K, Stockinger E, Thomas W, Hayes P. Perspectives on Low Temperature Tolerance and Vernalization Sensitivity in Barley: Prospects for Facultative Growth Habit. Front Plant Sci. 2020 Nov 09;11:585927. doi: 10.3389/fpls.2020.585927. eCollection 2020. PMID: 33469459; PMCID: PMC7814503.
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First-order convergence of Milstein schemes for McKean-Vlasov equations and interacting particle systems.

Proceedings. Mathematical, physical, and engineering sciences

Bao J, Reisinger C, Ren P, Stockinger W.
PMID: 33642922
Proc Math Phys Eng Sci. 2021 Jan;477(2245):20200258. doi: 10.1098/rspa.2020.0258. Epub 2021 Jan 06.

In this paper, we derive fully implementable first-order time-stepping schemes for McKean-Vlasov stochastic differential equations, allowing for a drift term with super-linear growth in the state component. We propose Milstein schemes for a time-discretized interacting particle system associated with...

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Bao J, Reisinger C, Ren P, et al. First-order convergence of Milstein schemes for McKean-Vlasov equations and interacting particle systems. Proc Math Phys Eng Sci. 2021;477(2245):20200258doi: 10.1098/rspa.2020.0258.
Bao, J., Reisinger, C., Ren, P., & Stockinger, W. (2021). First-order convergence of Milstein schemes for McKean-Vlasov equations and interacting particle systems. Proceedings. Mathematical, physical, and engineering sciences, 477(2245), 20200258. https://doi.org/10.1098/rspa.2020.0258
Bao, Jianhai, et al. "First-order convergence of Milstein schemes for McKean-Vlasov equations and interacting particle systems." Proceedings. Mathematical, physical, and engineering sciences vol. 477,2245 (2021): 20200258. doi: https://doi.org/10.1098/rspa.2020.0258
Bao J, Reisinger C, Ren P, Stockinger W. First-order convergence of Milstein schemes for McKean-Vlasov equations and interacting particle systems. Proc Math Phys Eng Sci. 2021 Jan;477(2245):20200258. doi: 10.1098/rspa.2020.0258. Epub 2021 Jan 06. PMID: 33642922; PMCID: PMC7897642.
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Psychometric Analysis of a German-Language Version of the Work-Family Conflict and Family-Work Conflict Scale.

Frontiers in psychology

Komlenac N, Stockinger L, Vogler T, Hochleitner M.
PMID: 35002871
Front Psychol. 2021 Dec 23;12:782618. doi: 10.3389/fpsyg.2021.782618. eCollection 2021.

The Work-Family Conflict and Family-Work Conflict Scale (WFC & FWC Scale) is a questionnaire commonly used to assess conflicts that arise when required time devotion and strain for work obligations interfere with family responsibilities (work-family conflict) and conflicts that...

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Komlenac N, Stockinger L, Vogler T, et al. Psychometric Analysis of a German-Language Version of the Work-Family Conflict and Family-Work Conflict Scale. Front Psychol. 2021;12:782618doi: 10.3389/fpsyg.2021.782618.
Komlenac, N., Stockinger, L., Vogler, T., & Hochleitner, M. (2021). Psychometric Analysis of a German-Language Version of the Work-Family Conflict and Family-Work Conflict Scale. Frontiers in psychology, 12782618. https://doi.org/10.3389/fpsyg.2021.782618
Komlenac, Nikola, et al. "Psychometric Analysis of a German-Language Version of the Work-Family Conflict and Family-Work Conflict Scale." Frontiers in psychology vol. 12 (2021): 782618. doi: https://doi.org/10.3389/fpsyg.2021.782618
Komlenac N, Stockinger L, Vogler T, Hochleitner M. Psychometric Analysis of a German-Language Version of the Work-Family Conflict and Family-Work Conflict Scale. Front Psychol. 2021 Dec 23;12:782618. doi: 10.3389/fpsyg.2021.782618. eCollection 2021. PMID: 35002871; PMCID: PMC8734642.
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Showing 97 to 102 of 102 entries