Cas clinique: Fibrome Ovarien chez une jument - Considérations hormonales

peer reviewedThis report shows that, as in humans, AMH as well as steroids productions are low in case of ovarian fibroma, thus preserving normal cyclicity

Financial impact of sheeppox and goatpox and estimated profitability of vaccination for subsistence farmers in selected northern states of Nigeria

Sheeppox and goatpox (SGP) are important transboundary diseases, endemic in Nigeria, causing severe clinical manifestations, impacting production, and resulting in economic losses. Vaccination is an effective control measure against SGP in endemic countries but is not currently implemented in Nigeria. This study aimed to estimate SGP financial impact and assess economic viability of SGP vaccination at the herd and regional level under different scenarios in Northern Nigeria. Integrated stochastic production and economic herd models were developed for transhumance and sedentary herds. Models were run for two disease scenarios (severely and slightly affected) and with and without vaccination, with data parameterisation from literature estimates, field survey and authors’ experience. Herd-level net financial impact of the disease and its vaccination was assessed using gross margin (GM) and partial budget analyses. These were then used to assess regional financial impact of disease and profitability of a 3-year vaccination programme using a cost-benefit analysis. The regional-analysis was performed under 0 %, 50 % and 100 % government subsidy scenarios; as a standalone programme or in combination with other existing vaccination programmes; and for risk-based and non-risk-based intervention. Median SGP losses per reproductive female were £27 (90 % CI: £31-£22), and £5 (90 % CI: £7-£3), in sedentary, and £30 (90 % CI: £41-21), and £7 (90 % CI: £10-£3), in transhumance herds, for severely and slightly affected scenarios respectively. Selling animals at a reduced price, selling fewer young animals, and reduced value of affected animals remaining in the herd were the greatest contributors to farmer’s SGP costs. SGP-affected herds realised a GM reduction of up to 121 % in sedentary and 138 % in transhumance. Median estimated regional SGP cost exceeded £24 million. Herd-level median benefits of vaccination per reproductive female were £23.76 (90 % CI: £19.28-£28.61), and £4.01 (90 % CI: £2.36-£6.31), in sedentary, and £26.85 (90 % CI: £17.99-£37.02) and £7.45 (90 % CI: £3.47-£15.14) in transhumance herds, in severely and slightly affected scenarios, respectively. Median benefit: cost ratio (BCR) for severely affected herds at 50% subsidies was 6.62 (90% CI: 5.30-8.90) for sedentary, and 5.14 (90% CI: 3.31-13.81) for transhumance herds. The regional SGP vaccination standalone programme BCR: 7–27, regional SGP vaccination with existing vaccination programme BCR: 7–228 and vaccinating high-risk areas BCR: 19–439 were found to be economically viable for all subsidy levels explored. Vaccinating low-risk areas only realised benefits with 100 % of government subsidies. This study further increases understanding of SGP’s impact within Northern Nigeria and demonstrates vaccination is an economically viable control strategy at the herd-level and also regionally, depending on the strategy and government subsidy levels considered

Gene-Expression-Guided Selection of Candidate Loci and Molecular Phenotype Analyses Enhance Genetic Discovery in Systemic Lupus Erythematosus

Systemic lupus erythematosus (SLE) is a highly heterogeneous autoimmune disorder characterized by differences in autoantibody profiles, serum cytokines, and clinical manifestations. We have previously conducted a case-case genome-wide association study (GWAS) of SLE patients to detect associations with autoantibody profile and serum interferon alpha (IFN-α). In this study, we used public gene expression data sets to rationally select additional single nucleotide polymorphisms (SNPs) for validation. The top 200 GWAS SNPs were searched in a database which compares genome-wide expression data to genome-wide SNP genotype data in HapMap cell lines. SNPs were chosen for validation if they were associated with differential expression of 15 or more genes at a significance of P<9×10−5. This resulted in 11 SNPs which were genotyped in 453 SLE patients and 418 matched controls. Three SNPs were associated with SLE-associated autoantibodies, and one of these SNPs was also associated with serum IFN-α (P<4.5×10−3 for all). One additional SNP was associated exclusively with serum IFN-α. Case-control analysis was insensitive to these molecular subphenotype associations. This study illustrates the use of gene expression data to rationally select candidate loci in autoimmune disease, and the utility of stratification by molecular phenotypes in the discovery of additional genetic associations in SLE

Social partners going digital: using digital tools and adapting social dialogue processes

Aquesta publicació s'elabora a partir de les contribucions de cadascú dels membres nacionals que integren la Network of Eufound Correspondent. Pel cas d'Espanya la contribució ha estat realitzada per l'Alejandro GodinoDigital transformation is changing the world of work. This report looks at how social partners - the actors involved in the regulation of employment relationships - are increasingly adopting technological solutions to improve the services that they provide to their members and facilitate collective bargaining processes. Technological tools offer social partners the opportunity to enhance consultation, engage with their members through digitised processes, improve services and increase networking activities, as well as addressing the issue of membership decline. The findings of this report show that the extent to which the social partners use digital technologies varies greatly across the EU Member States, Norway and the United Kingdom. Provisions in collective agreements on several aspects of digitalisation have been identified in about half of the countries. Through these provisions, social partners encourage their members to boost training on digital skills, ensure fair and safe working conditions and take account of data protection and employee monitoring practices. The European social partners' autonomous framework agreement on digitalisation has provided inspiration to national-level organisations, and follow-up actions in this regard have the potential to greatly benefit their members

Social partners going digital: using digital tools and adapting social dialogue processes

La xarxa de corresponsals d'Eurofound ha contribuït a aquest informe i en concret l'Alejandro Godino com així s'expressa a l'Annex 3: Network of Eurofound CorrespondentsDigital transformation is changing the world of work. This report looks at how social partners - the actors involved in the regulation of employment relationships - are increasingly adopting technological solutions to improve the services that they provide to their members and facilitate collective bargaining processes. Technological tools offer social partners the opportunity to enhance consultation, engage with their members through digitised processes, improve services and increase networking activities, as well as addressing the issue of membership decline. The findings of this report show that the extent to which the social partners use digital technologies varies greatly across the EU Member States, Norway and the United Kingdom. Provisions in collective agreements on several aspects of digitalisation have been identified in about half of the countries. Through these provisions, social partners encourage their members to boost training on digital skills, ensure fair and safe working conditions and take account of data protection and employee monitoring practices. The European social partners' autonomous framework agreement on digitalisation has provided inspiration to national-level organisations, and follow-up actions in this regard have the potential to greatly benefit their members

brainlife.io: A decentralized and open source cloud platform to support neuroscience research

Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the complexity of the data pipeline has also increased, hindering access to FAIR data analysis to portions of the worldwide research community. brainlife.io was developed to reduce these burdens and democratize modern neuroscience research across institutions and career levels. Using community software and hardware infrastructure, the platform provides open-source data standardization, management, visualization, and processing and simplifies the data pipeline. brainlife.io automatically tracks the provenance history of thousands of data objects, supporting simplicity, efficiency, and transparency in neuroscience research. Here brainlife.io's technology and data services are described and evaluated for validity, reliability, reproducibility, replicability, and scientific utility. Using data from 4 modalities and 3,200 participants, we demonstrate that brainlife.io's services produce outputs that adhere to best practices in modern neuroscience research