Acuerdos de Juntas Generales de este M.N. y M.L. Señorío de Vizcaya, celebrados en La Antigua de Guernica los días diez, y siguientes, hasta el diez y siete inclusive del mes de julio de este año de 1786.

Sign.: [ ]2, A-Z2, 2A-2I2Digitalización Vitoria-Gasteiz Archivos y Bibliotecas Marzo 1994 17-24Digitalización Vitoria-Gasteiz Fundación Sancho el Sabio 2008Port. orlada con esc. de Vizcaya xil.Il. xil.Capitulares grab. xil

MOESM2 of DNA methylation is associated with lung function in never smokers

Additional file 2: Table S2. Sensitivity analysis of the association of the top 36 CpG-sites with FEV1/FVC in 659 subjects that were not exposed to environmental tobacco smoke

MOESM1 of DNA methylation is associated with lung function in never smokers

Additional file 1: Table S1. Overview of all CpG-sites associated with FEV1/FVC at nominal p-value of 0.05

MOESM4 of DNA methylation is associated with lung function in never smokers

Additional file 4: Table S4. Results of the association between 36 top CpG-sites identified from the meta-analysis and A: environmental exposures and B: air pollution measurements

MOESM3 of DNA methylation is associated with lung function in never smokers

Additional file 3: Table S3. Overview of association between DNA methylation and gene expression

MOESM5 of DNA methylation is associated with lung function in never smokers

Additional file 5: Figure S1: Forest plots of the associations between DNA methylation and environmental exposures

The gut microbiome composition is altered in long-standing type 1 diabetes and associates with glycemic control and disease-related complications

   Objective: People with type 1 diabetes are at risk of developing micro- and macrovascular complications. Little is known about the gut microbiome in long-standing type 1 diabetes. We explored differences in the gut microbiome of participants with type 1 diabetes compared to healthy controls and associated the gut microbiome with diabetes-related complications. Research Design and Methods: Microbiome data of 238 participants with type 1 diabetes with an average disease duration of 28 (±15) years were compared to 2937 age-, sex- and BMI-matched individuals. Clinical characteristics and fecal samples were collected and metagenomic shotgun sequencing was performed. Microbial taxonomy was associated with type 1 diabetes–related characteristics and vascular complications. Results: No significant difference in the α-diversity of the gut microbiome was found between participants with type 1 diabetes and healthy controls. However, 43 bacterial taxa were significantly depleted in type 1 diabetes, while 37 bacterial taxa were significantly enriched. HbA1c and disease duration explained a significant part of variation in the gut microbiome (R2>0.008, FDR0.0075, FDR Conclusion: Our data show that the gut microbiome is altered in people with (long-standing) type 1 diabetes and is associated to glycemic control and diabetes-related complications. Due to the cross-sectional design, the causality of these relationships remains to be determined.</p

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 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