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: 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: 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: 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: 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: 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: 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: 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.

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....

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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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...