Development of automated tools based on electronic identification for the improvement of organic livestock production systems

Technical constraints of livestock production in organic farming systems are numerous and require more attention than in conventional systems. The implementation of individual electronic identification that is planned in Europe offers the possibility of developing automated devices that may be well adapted to the practices of organic breeders. We developed an automated mounting detector, carried by a male, which makes it possible to detect any female in oestrus. Hence, this device is the unique solution for inseminating females when they are fertile, thus ensuring links with selection programmes. The second device developed is a dynamic sorting door based on respect for animal behaviour, preventing stress by allowing animals not to be unnecessarily confined. When associated with an electronic weighing device, it offers the possibility of adapting health treatments to the appropriate animals, in agreement with organic breeding specifications. Finally, electronic identification combined with GPS offers the breeder the possibility of simplifying the certification of animals in areas converted to organic farming. We believe that these technologies may greatly reduce the workload of breeders while improving animal welfare

Radial Oscillations of Neutron Stars in Strong Magnetic Fields

The eigen frequencies of radial pulsations of neutron stars are calculated in a strong magnetic field. At low densities we use the magnetic BPS equation of state(EOS) similar to that obtained by Lai and Shapiro while at high densities the EOS obtained from the relativistic nuclear mean field theory is taken and extended to include strong magnetic field. It is found that magnetised neutron stars support higher maximum mass where as the effect of magnetic field on radial stability for observed neutron star masses is minimal.Comment: latex2e file with five postscript figure

Defining a European diabetes data dictionary for clinical audit and healthcare delivery: core standards of the EUBIROD project

&lt;p&gt;BACKGROUND:&lt;/p&gt; &lt;p&gt;A set of core diabetes indicators were identified in a clinical review of current evidence for the EUBIROD project. In order to allow accurate comparisons of diabetes indicators, a standardised currency for data storage and aggregation was required. We aimed to define a robust European data dictionary with appropriate clinical definitions that can be used to analyse diabetes outcomes and provide the foundation for data collection from existing electronic health records for diabetes.&lt;/p&gt; &lt;p&gt;METHODS:&lt;/p&gt; &lt;p&gt;Existing clinical datasets used by 15 partner institutions across Europe were collated and common data items analysed for consistency in terms of recording, data definition and units of measurement. Where necessary, data mappings and algorithms were specified in order to allow partners to meet the standard definitions. A series of descriptive elements were created to document metadata for each data item, including recording, consistency, completeness and quality.&lt;/p&gt; &lt;p&gt;RESULTS:&lt;/p&gt; &lt;p&gt;While datasets varied in terms of consistency, it was possible to create a common standard that could be used by all. The minimum dataset defined 53 data items that were classified according to their feasibility and validity. Mappings and standardised definitions were used to create an electronic directory for diabetes care, providing the foundation for the EUBIROD data analysis repository, also used to implement the diabetes registry and model of care for Cyprus.&lt;/p&gt; &lt;p&gt;CONCLUSIONS:&lt;/p&gt; &lt;p&gt;The development of data dictionaries and standards can be used to improve the quality and comparability of health information. A data dictionary has been developed to be compatible with other existing data sources for diabetes, within and beyond Europe.&lt;/p&gt;</p