23 Works

Diversity, equity, and inclusion in engineering education: an exploration of European higher education institutions’ strategic frameworks, resources, and initiatives

I. Direito, Shannon Chance, L. Clemmensen, S. Craps, S.B. Economides, S.R. Isaac, A.M. Jolly, F.R. Truscott & N. Wint

The permeability of granite deformed in the brittle regime to large strains: Implications for the permeability of fractured geothermal reservoirs

Michael Heap , Hugo Duwiquet , Luke Griffiths , Laurent Guillou-Frottier , Patrick Baud & Marie Violay
Efficient fluid flow and circulation are important for an economically viable geothermal reservoir. One type of underexplored reservoir for high-temperature geothermal exploitation is a crustal fault zone, where hot fluids from depths corresponding to the brittle-ductile transition are brought to the surface via crustal-scale, permeable fault zones. To better understand the evolving permeability of reservoir rock during deformation in the brittle regime—fault formation and sliding on the fault—we performed triaxial experiments on samples of well-characterised...

Additional file 5 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 5: Fig. S5. Polygenic risk score for hs-CRP (CRP-PRS) was significantly associated with hs-CRP levels. Scatter plots with linear regression line of polygenic risk scores predicting hs-CRP levels for individuals in the cohort. 95% confidence interval is showed in grey shade.

Additional file 2 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 2: Fig. S2. Scatterplot and regression line (with 95% confidence intervals) to describe the relationship of hs-CRP with characteristics of study participants. Relationship between hs-CRP and A) age, B) sex, C) BMI and D) polygenic risk score (PRS). For linear regressions, linear regression equation, R-squared and P-value are shown.

Additional file 5 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 5: Fig. S5. Polygenic risk score for hs-CRP (CRP-PRS) was significantly associated with hs-CRP levels. Scatter plots with linear regression line of polygenic risk scores predicting hs-CRP levels for individuals in the cohort. 95% confidence interval is showed in grey shade.

Additional file 4 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 4: Fig. S4. Distribution of polygenic risk score (PRS) values. Density distribution of standardized PRS values by subcohort (CoLaus|PsyCoLaus and UKB) and across all participants (combined).

Additional file 1 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 1: Fig. S1. Flowchart illustrating the inclusion/exclusion of individuals in the study. Orange boxes indicate the number of included antigens and pathogens.

Additional file 3 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 3: Fig. S3. Principal component analysis (PCA) of combined genotyping data. A) PCA plot of the first ten PCs of the genotyping data. Samples are colored by cohort. B) Histogram explaining the variance of each PC component. In the histogram, the variance explained by each eigenvalue is labeled on top.

Additional file 3 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 3: Fig. S3. Principal component analysis (PCA) of combined genotyping data. A) PCA plot of the first ten PCs of the genotyping data. Samples are colored by cohort. B) Histogram explaining the variance of each PC component. In the histogram, the variance explained by each eigenvalue is labeled on top.

A critical literature review of spatio-temporal simulation methods for daylight glare assessment

Stephen Wasilewski, Lars Oliver Grobe, Jan Wienold & Marilyne Andersen

Monetary Commitment and the Level of Public Debt

Stefano Gnocchi & Luisa Lambertini
We analyze the interaction between committed monetary policy and discretionary fiscal policy in a model with public debt, endogenous government expenditures, distortive taxation and nominal rigidities. Fiscal decisions lack commitment but are Markov-perfect. Monetary commitment to an interest rate path leads to a unique level of debt. This level of debt is positive if the central bank adopts closed-loop strategies that raise the real interest rate when inflation is above target owing to fiscal deviations....

Tetravalent uranium mobilization by complexation or oxidation and associated U isotope fractionation

Yvonne Roebbert , Chris Daniel Rosendahl , Ashley Brown , Axel Schippers , Rizlan Bernier-Latmani & Stefan Weyer
Uranium (U) isotopes are suggested to monitor the success of (bio)remediation relying on the reduction of soluble and mobile U(VI) to less soluble U(IV)1. However, the subsurface stability of U(IV), typically present as solid-phase non-crystalline U, may be affected by complexation or oxidation. Understanding these processes and their impact on U isotope fractionation is important to correctly interpret field U isotope signatures. We investigated U mobilization by complexation and oxidation and measured the associated U...

Additional file 2 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 2: Fig. S2. Scatterplot and regression line (with 95% confidence intervals) to describe the relationship of hs-CRP with characteristics of study participants. Relationship between hs-CRP and A) age, B) sex, C) BMI and D) polygenic risk score (PRS). For linear regressions, linear regression equation, R-squared and P-value are shown.

Additional file 4 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 4: Fig. S4. Distribution of polygenic risk score (PRS) values. Density distribution of standardized PRS values by subcohort (CoLaus|PsyCoLaus and UKB) and across all participants (combined).

Additional file 1 of Prominent astrocytic alpha-synuclein pathology with unique post-translational modification signatures unveiled across Lewy body disorders

Melek Firat Altay, Alan King Lun Liu, Janice L. Holton, Laura Parkkinen & Hilal A. Lashuel
Additional file 1: Table S1. The primary and secondary antibodies included in this study. AC = autoclave; agg-aSyn = aggregated alpha-synuclein; aSyn = alpha-synuclein; FA = formic acid; GFAP = glial fibrillary acidic protein; Iba1 = ionized calcium binding adaptor protein 1; IF = immunofluorescence; IHC = immunohistochemistry; MBP = myelin basic protein; mc = monoclonal; mus = mouse; na = not applicable; NF = neurofilament; pc = polyclonal; rab = rabbit; SB = slot...

Additional file 1 of Prominent astrocytic alpha-synuclein pathology with unique post-translational modification signatures unveiled across Lewy body disorders

Melek Firat Altay, Alan King Lun Liu, Janice L. Holton, Laura Parkkinen & Hilal A. Lashuel
Additional file 1: Table S1. The primary and secondary antibodies included in this study. AC = autoclave; agg-aSyn = aggregated alpha-synuclein; aSyn = alpha-synuclein; FA = formic acid; GFAP = glial fibrillary acidic protein; Iba1 = ionized calcium binding adaptor protein 1; IF = immunofluorescence; IHC = immunohistochemistry; MBP = myelin basic protein; mc = monoclonal; mus = mouse; na = not applicable; NF = neurofilament; pc = polyclonal; rab = rabbit; SB = slot...

Additional file 6 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 6: Fig. S6. Seroprevalence of tested antigens in the CoLaus|PsyCoLaus. List of the 27 antigens available from the CoLaus|PsyCoLaus study that are shared with the UK Biobank. The percentages indicate the seroprevalence of antibodies against infectious disease antigens tested using Multiplex Serology platform. The grey boxes indicate the pathogen on which the antigen protein is found, and the family to which the pathogen belongs.

Additional file 1 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 1: Fig. S1. Flowchart illustrating the inclusion/exclusion of individuals in the study. Orange boxes indicate the number of included antigens and pathogens.

Additional file 7 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 7: Fig. S7. Seroprevalence of tested antigens in the UK Biobank. List of the 27 antigens available from the UK Biobank that are shared with the CoLaus|PsyCoLaus study. The percentages indicate the seroprevalence of antibodies against infectious disease antigens tested using Multiplex Serology platform. The grey boxes indicate the pathogen on which the antigen protein is found, and the family to which the pathogen belongs.

Additional file 7 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 7: Fig. S7. Seroprevalence of tested antigens in the UK Biobank. List of the 27 antigens available from the UK Biobank that are shared with the CoLaus|PsyCoLaus study. The percentages indicate the seroprevalence of antibodies against infectious disease antigens tested using Multiplex Serology platform. The grey boxes indicate the pathogen on which the antigen protein is found, and the family to which the pathogen belongs.

Additional file 6 of The combined impact of persistent infections and human genetic variation on C-reactive protein levels

Flavia Hodel, Olivier Naret, Clara Bonnet, Nicole Brenner, Noemi Bender, Tim Waterboer, Pedro Marques-Vidal, Peter Vollenweider & Jacques Fellay
Additional file 6: Fig. S6. Seroprevalence of tested antigens in the CoLaus|PsyCoLaus. List of the 27 antigens available from the CoLaus|PsyCoLaus study that are shared with the UK Biobank. The percentages indicate the seroprevalence of antibodies against infectious disease antigens tested using Multiplex Serology platform. The grey boxes indicate the pathogen on which the antigen protein is found, and the family to which the pathogen belongs.

Additional file 2 of Prominent astrocytic alpha-synuclein pathology with unique post-translational modification signatures unveiled across Lewy body disorders

Melek Firat Altay, Alan King Lun Liu, Janice L. Holton, Laura Parkkinen & Hilal A. Lashuel
Additional file 2: Fig. S1. Specificity validation of the aSyn antibodies LASH-BL 34-45, LASH-BL 80-96 and BD SYN-1 by pre-adsorption followed by IHC on DLB1 cingulate cortex (layers V–VI). aSyn = alpha-synuclein; DLB = dementia with Lewy bodies; IHC = immunohistochemistry. Fig. S2. (a) A representative image of a cortical LB positive for NF and LASH-BL 34-45, and negative for GFAP. Image from DLB1 cingulate cortex taken using Zeiss LSM700 confocal microscope. (b) The oligodendrocytes...

Additional file 2 of Prominent astrocytic alpha-synuclein pathology with unique post-translational modification signatures unveiled across Lewy body disorders

Melek Firat Altay, Alan King Lun Liu, Janice L. Holton, Laura Parkkinen & Hilal A. Lashuel
Additional file 2: Fig. S1. Specificity validation of the aSyn antibodies LASH-BL 34-45, LASH-BL 80-96 and BD SYN-1 by pre-adsorption followed by IHC on DLB1 cingulate cortex (layers V–VI). aSyn = alpha-synuclein; DLB = dementia with Lewy bodies; IHC = immunohistochemistry. Fig. S2. (a) A representative image of a cortical LB positive for NF and LASH-BL 34-45, and negative for GFAP. Image from DLB1 cingulate cortex taken using Zeiss LSM700 confocal microscope. (b) The oligodendrocytes...

Registration Year

  • 2022
    20
  • 2021
    2
  • 2019
    1

Resource Types

  • Text
    23

Affiliations

  • École Polytechnique Fédérale de Lausanne
    23
  • Swiss Institute of Bioinformatics
    14
  • University of Lausanne
    14
  • German Cancer Research Center
    14
  • University Hospital of Lausanne
    14
  • University College London
    5
  • University of Oxford
    4
  • University of Strasbourg
    1
  • University of Orléans
    1
  • Leibniz University Hannover
    1