Additional file 2: Table S1. of The influence of a short-term gluten-free diet on the human gut microbiome

Results macronutrient intake per participant. (XLSX 13 kb

Framework for distributed monitoring of services

Title: Framework for distributed monitoring of services Author: Lenka Skotáková Department: Department of Software Engineering Supervisor: Mgr. Martin Děcký, Department of Distributed and Dependable Systems Supervisor's e-mail address: [email protected] Abstract: Monitoring of servers and its services enables early detection of problems.Distributed monitoring provides the advantage of load balancing between multiple nodes. Most of the tools providing distributed monitoring still retain the master node as a single point of failure. Distributed system working without a central node is more reliable. Redundancy of monitoring can be also introduced for further increase of reliability. Then it is appropriate to ensure that reports of failures do not repeat. This thesis presents a distributed system for monitoring of services, resistant to failure of nodes including a node that currently acts as a coordinator. Nodes automatically distribute tasks among themselves and found problems are collected and stored so that the notifications are not repeated. Keywords: distributed systems, distributed monitoring, network services, Invitation algorith

Additional file 1: Figure S1. of The influence of a short-term gluten-free diet on the human gut microbiome

Baseline characteristics of the GFD study group. (TIF 1068 kb

Additional file 6: Figure S4. of The influence of a short-term gluten-free diet on the human gut microbiome

Measured butyrate levels vs. the predicted activity of butyrate metabolism. (TIF 6 kb

Additional file 10: Table S5. of The influence of a short-term gluten-free diet on the human gut microbiome

Correlation of predicted HUMAnN module activity and levels of fecal biomarkers. (PDF 143 kb

Additional file 9: Table S4. of The influence of a short-term gluten-free diet on the human gut microbiome

Correlation of predicted HUMAnN pathway activity and levels of fecal biomarkers. (PDF 228 kb

Additional file 3: Figure S2. of The influence of a short-term gluten-free diet on the human gut microbiome

Unweighted unifrac distances when comparing inter-individual vs intra individual distances. In group 1 the intra-individual differences are shown regardless of diet. Group 2 shows the intra-sample differences are shown within the same diet. Group 3 shows the intra-individual differences are shown between the two diet groups. In group 4 the inter-individual differences are shown regardless of diet. Group 5 shows the inter-sample differences are shown within the same diet. Group 6 shows the inter-individual differences are shown between the two diet groups. The main difference is the intra- vs. inter-individual difference. Also the same diet points in the samples are slightly closer to each other. However, we do not see such a phenomenon for group 5 vs. group 6. (TIF 1862 kb

Additional file 8: Table S3. of The influence of a short-term gluten-free diet on the human gut microbiome

Correlation of bacteria and levels of fecal biomarkers. (PDF 139 kb