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You searched for +publisher:"Université du Luxembourg" +contributor:("Sauter, Thomas [president of the jury]"). Showing records 1 – 7 of 7 total matches.

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Université du Luxembourg

1. Köhler, Christian. Biopharm - the Influence of Macro-substrates & Conditioning on Pharmaceutical Removal Rates by Moving Bed Biofilm Reactors.

Degree: 2015, Université du Luxembourg

 Organic micropollutants with endocrine disruptive properties are present in the aquatic environment. A major part of their emission is caused by municipal wastewater treatment plants… (more)

Subjects/Keywords: pharmaceuticals; xenobiotics; wastewater; wwtp; moving bed biofilm reactor; MBBR; wastewater treatment plant; lab-scale; metabolism; co-metabolism; training; conditioning; 16S rRNA; DNA; RNA; cDNA; enzyme; fingerprinting; consortia; structure; enzyme activity; respirometry; maximum growth rate; SOUR; degradation kinetics; kbiol; macro-substrate; substrate; LC MS/MS; esterase; phosphatase; glucosidase; aminopeptidase; exoenzyme; activity; atenolol; diclofenac; PCA; PCoA; Delftia; Lysobacter; Life sciences :: Biochemistry, biophysics & molecular biology [F05]; Sciences du vivant :: Biochimie, biophysique & biologie moléculaire [F05]; Life sciences :: Biotechnology [F06]; Sciences du vivant :: Biotechnologie [F06]; Life sciences :: Environmental sciences & ecology [F08]; Sciences du vivant :: Sciences de l'environnement & écologie [F08]; Engineering, computing & technology :: Civil engineering [C04]; Ingénierie, informatique & technologie :: Ingénierie civile [C04]; Engineering, computing & technology :: Multidisciplinary, general & others [C99]; Ingénierie, informatique & technologie :: Multidisciplinaire, généralités & autres [C99]

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APA (6th Edition):

Köhler, C. (2015). Biopharm - the Influence of Macro-substrates & Conditioning on Pharmaceutical Removal Rates by Moving Bed Biofilm Reactors. (Doctoral Dissertation). Université du Luxembourg. Retrieved from http://orbilu.uni.lu/handle/10993/22418

Chicago Manual of Style (16th Edition):

Köhler, Christian. “Biopharm - the Influence of Macro-substrates & Conditioning on Pharmaceutical Removal Rates by Moving Bed Biofilm Reactors.” 2015. Doctoral Dissertation, Université du Luxembourg. Accessed September 19, 2020. http://orbilu.uni.lu/handle/10993/22418.

MLA Handbook (7th Edition):

Köhler, Christian. “Biopharm - the Influence of Macro-substrates & Conditioning on Pharmaceutical Removal Rates by Moving Bed Biofilm Reactors.” 2015. Web. 19 Sep 2020.

Vancouver:

Köhler C. Biopharm - the Influence of Macro-substrates & Conditioning on Pharmaceutical Removal Rates by Moving Bed Biofilm Reactors. [Internet] [Doctoral dissertation]. Université du Luxembourg; 2015. [cited 2020 Sep 19]. Available from: http://orbilu.uni.lu/handle/10993/22418.

Council of Science Editors:

Köhler C. Biopharm - the Influence of Macro-substrates & Conditioning on Pharmaceutical Removal Rates by Moving Bed Biofilm Reactors. [Doctoral Dissertation]. Université du Luxembourg; 2015. Available from: http://orbilu.uni.lu/handle/10993/22418


Université du Luxembourg

2. Gui, Yujuan. Genetic regulators of ventral midbrain gene expression and nigrostriatal circuit integrity.

Degree: 2020, Université du Luxembourg

 Complex traits are a fundamental feature of diverse organisms. Understanding the genetic architecture of a complex trait is arduous but paramount because heterogeneity is prevalent… (more)

Subjects/Keywords: genetics; mouse strains; single-cell ATAC-seq; ventral midbrain; nigrostriatal circuit; Life sciences :: Genetics & genetic processes [F10]; Sciences du vivant :: Génétique & processus génétiques [F10]

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APA (6th Edition):

Gui, Y. (2020). Genetic regulators of ventral midbrain gene expression and nigrostriatal circuit integrity. (Doctoral Dissertation). Université du Luxembourg. Retrieved from http://orbilu.uni.lu/handle/10993/43833

Chicago Manual of Style (16th Edition):

Gui, Yujuan. “Genetic regulators of ventral midbrain gene expression and nigrostriatal circuit integrity.” 2020. Doctoral Dissertation, Université du Luxembourg. Accessed September 19, 2020. http://orbilu.uni.lu/handle/10993/43833.

MLA Handbook (7th Edition):

Gui, Yujuan. “Genetic regulators of ventral midbrain gene expression and nigrostriatal circuit integrity.” 2020. Web. 19 Sep 2020.

Vancouver:

Gui Y. Genetic regulators of ventral midbrain gene expression and nigrostriatal circuit integrity. [Internet] [Doctoral dissertation]. Université du Luxembourg; 2020. [cited 2020 Sep 19]. Available from: http://orbilu.uni.lu/handle/10993/43833.

Council of Science Editors:

Gui Y. Genetic regulators of ventral midbrain gene expression and nigrostriatal circuit integrity. [Doctoral Dissertation]. Université du Luxembourg; 2020. Available from: http://orbilu.uni.lu/handle/10993/43833


Université du Luxembourg

3. Lommel, Maiti. Analysis of signal transduction pathways linking L-plastin Ser5 phosphorylation to breast cancer cell invasion.

Degree: 2015, Université du Luxembourg

 The organisation of the actin cytoskeleton is regulated by abundant actin-binding proteins. Functional alteration of these proteins contributes to pathologies such as cancer where structural… (more)

Subjects/Keywords: L-plastin; RSK; ERK/MAPK pathway; breast cancer; actin cytoskeleton; invasion; migration; phosphorylation; signal transduction; Life sciences :: Anatomy (cytology, histology, embryology...) & physiology [F02]; Sciences du vivant :: Anatomie (cytologie, histologie, embryologie...) & physiologie [F02]; Life sciences :: Biochemistry, biophysics & molecular biology [F05]; Sciences du vivant :: Biochimie, biophysique & biologie moléculaire [F05]

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APA (6th Edition):

Lommel, M. (2015). Analysis of signal transduction pathways linking L-plastin Ser5 phosphorylation to breast cancer cell invasion. (Doctoral Dissertation). Université du Luxembourg. Retrieved from http://orbilu.uni.lu/handle/10993/23739

Chicago Manual of Style (16th Edition):

Lommel, Maiti. “Analysis of signal transduction pathways linking L-plastin Ser5 phosphorylation to breast cancer cell invasion.” 2015. Doctoral Dissertation, Université du Luxembourg. Accessed September 19, 2020. http://orbilu.uni.lu/handle/10993/23739.

MLA Handbook (7th Edition):

Lommel, Maiti. “Analysis of signal transduction pathways linking L-plastin Ser5 phosphorylation to breast cancer cell invasion.” 2015. Web. 19 Sep 2020.

Vancouver:

Lommel M. Analysis of signal transduction pathways linking L-plastin Ser5 phosphorylation to breast cancer cell invasion. [Internet] [Doctoral dissertation]. Université du Luxembourg; 2015. [cited 2020 Sep 19]. Available from: http://orbilu.uni.lu/handle/10993/23739.

Council of Science Editors:

Lommel M. Analysis of signal transduction pathways linking L-plastin Ser5 phosphorylation to breast cancer cell invasion. [Doctoral Dissertation]. Université du Luxembourg; 2015. Available from: http://orbilu.uni.lu/handle/10993/23739

4. Yuan, Qixia. Computational Methods for Analysing Long-run Dynamics of Large Biological Networks.

Degree: 2017, Université du Luxembourg

 Systems biology combines developments in the fields of computer science, mathematics, engineering, statistics, and biology to study biological networks from a holistic point of view… (more)

Subjects/Keywords: probabilistic Boolean networks; long-run dynamics; attractor detection; decomposition; steady-state probabilities; Engineering, computing & technology :: Computer science [C05]; Ingénierie, informatique & technologie :: Sciences informatiques [C05]

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APA (6th Edition):

Yuan, Q. (2017). Computational Methods for Analysing Long-run Dynamics of Large Biological Networks. (Doctoral Dissertation). Université du Luxembourg. Retrieved from http://orbilu.uni.lu/handle/10993/33749

Chicago Manual of Style (16th Edition):

Yuan, Qixia. “Computational Methods for Analysing Long-run Dynamics of Large Biological Networks.” 2017. Doctoral Dissertation, Université du Luxembourg. Accessed September 19, 2020. http://orbilu.uni.lu/handle/10993/33749.

MLA Handbook (7th Edition):

Yuan, Qixia. “Computational Methods for Analysing Long-run Dynamics of Large Biological Networks.” 2017. Web. 19 Sep 2020.

Vancouver:

Yuan Q. Computational Methods for Analysing Long-run Dynamics of Large Biological Networks. [Internet] [Doctoral dissertation]. Université du Luxembourg; 2017. [cited 2020 Sep 19]. Available from: http://orbilu.uni.lu/handle/10993/33749.

Council of Science Editors:

Yuan Q. Computational Methods for Analysing Long-run Dynamics of Large Biological Networks. [Doctoral Dissertation]. Université du Luxembourg; 2017. Available from: http://orbilu.uni.lu/handle/10993/33749


Université du Luxembourg

5. Laczny, Cedric Christian. VISUALISATION AND BINNING OF METAGENOMIC DATA.

Degree: 2015, Université du Luxembourg

 Metagenomic sequencing and assembly have become important approaches for the in situ characterisation of mixed microbial communities. Nevertheless, the data are typically fragmented and disconnected.… (more)

Subjects/Keywords: binning; metgenomics; machine learning; Life sciences :: Microbiology [F11]; Sciences du vivant :: Microbiologie [F11]

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APA (6th Edition):

Laczny, C. C. (2015). VISUALISATION AND BINNING OF METAGENOMIC DATA. (Doctoral Dissertation). Université du Luxembourg. Retrieved from http://orbilu.uni.lu/handle/10993/24369

Chicago Manual of Style (16th Edition):

Laczny, Cedric Christian. “VISUALISATION AND BINNING OF METAGENOMIC DATA.” 2015. Doctoral Dissertation, Université du Luxembourg. Accessed September 19, 2020. http://orbilu.uni.lu/handle/10993/24369.

MLA Handbook (7th Edition):

Laczny, Cedric Christian. “VISUALISATION AND BINNING OF METAGENOMIC DATA.” 2015. Web. 19 Sep 2020.

Vancouver:

Laczny CC. VISUALISATION AND BINNING OF METAGENOMIC DATA. [Internet] [Doctoral dissertation]. Université du Luxembourg; 2015. [cited 2020 Sep 19]. Available from: http://orbilu.uni.lu/handle/10993/24369.

Council of Science Editors:

Laczny CC. VISUALISATION AND BINNING OF METAGENOMIC DATA. [Doctoral Dissertation]. Université du Luxembourg; 2015. Available from: http://orbilu.uni.lu/handle/10993/24369


Université du Luxembourg

6. Trefois, Christophe. Detection and characterization of critical transitions in mitochondrial activity via high content screening.

Degree: 2014, Université du Luxembourg

 Critical transitions exist in many dynamical systems, ranging from the Earth’s cli- mate system to microcosm populations. During a critical transition, the state of a… (more)

Subjects/Keywords: High-content imaging; Critical transitions; Tipping points; Criticality; Alternative Stable States; HeLa; Microscopy; High-content screening; HCS; Parkinson's disease; Life sciences :: Multidisciplinary, general & others [F99]; Sciences du vivant :: Multidisciplinaire, généralités & autres [F99]

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APA (6th Edition):

Trefois, C. (2014). Detection and characterization of critical transitions in mitochondrial activity via high content screening. (Doctoral Dissertation). Université du Luxembourg. Retrieved from http://orbilu.uni.lu/handle/10993/17706

Chicago Manual of Style (16th Edition):

Trefois, Christophe. “Detection and characterization of critical transitions in mitochondrial activity via high content screening.” 2014. Doctoral Dissertation, Université du Luxembourg. Accessed September 19, 2020. http://orbilu.uni.lu/handle/10993/17706.

MLA Handbook (7th Edition):

Trefois, Christophe. “Detection and characterization of critical transitions in mitochondrial activity via high content screening.” 2014. Web. 19 Sep 2020.

Vancouver:

Trefois C. Detection and characterization of critical transitions in mitochondrial activity via high content screening. [Internet] [Doctoral dissertation]. Université du Luxembourg; 2014. [cited 2020 Sep 19]. Available from: http://orbilu.uni.lu/handle/10993/17706.

Council of Science Editors:

Trefois C. Detection and characterization of critical transitions in mitochondrial activity via high content screening. [Doctoral Dissertation]. Université du Luxembourg; 2014. Available from: http://orbilu.uni.lu/handle/10993/17706


Université du Luxembourg

7. Zaffaroni, Gaia. INTEGRATIVE APPROACH TO PREDICT SIGNALLING PERTURBATIONS FOR CELLULAR TRANSITIONS: APPLICATION TO REGENERATIVE AND DISEASE MODELS.

Degree: 2019, Université du Luxembourg

Subjects/Keywords: systems biology; cellular transitions; computational biology; Life sciences :: Multidisciplinary, general & others [F99]; Sciences du vivant :: Multidisciplinaire, généralités & autres [F99]

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APA (6th Edition):

Zaffaroni, G. (2019). INTEGRATIVE APPROACH TO PREDICT SIGNALLING PERTURBATIONS FOR CELLULAR TRANSITIONS: APPLICATION TO REGENERATIVE AND DISEASE MODELS. (Doctoral Dissertation). Université du Luxembourg. Retrieved from http://orbilu.uni.lu/handle/10993/40405

Chicago Manual of Style (16th Edition):

Zaffaroni, Gaia. “INTEGRATIVE APPROACH TO PREDICT SIGNALLING PERTURBATIONS FOR CELLULAR TRANSITIONS: APPLICATION TO REGENERATIVE AND DISEASE MODELS.” 2019. Doctoral Dissertation, Université du Luxembourg. Accessed September 19, 2020. http://orbilu.uni.lu/handle/10993/40405.

MLA Handbook (7th Edition):

Zaffaroni, Gaia. “INTEGRATIVE APPROACH TO PREDICT SIGNALLING PERTURBATIONS FOR CELLULAR TRANSITIONS: APPLICATION TO REGENERATIVE AND DISEASE MODELS.” 2019. Web. 19 Sep 2020.

Vancouver:

Zaffaroni G. INTEGRATIVE APPROACH TO PREDICT SIGNALLING PERTURBATIONS FOR CELLULAR TRANSITIONS: APPLICATION TO REGENERATIVE AND DISEASE MODELS. [Internet] [Doctoral dissertation]. Université du Luxembourg; 2019. [cited 2020 Sep 19]. Available from: http://orbilu.uni.lu/handle/10993/40405.

Council of Science Editors:

Zaffaroni G. INTEGRATIVE APPROACH TO PREDICT SIGNALLING PERTURBATIONS FOR CELLULAR TRANSITIONS: APPLICATION TO REGENERATIVE AND DISEASE MODELS. [Doctoral Dissertation]. Université du Luxembourg; 2019. Available from: http://orbilu.uni.lu/handle/10993/40405

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