Development of a community e-portal constellation: Queensland Smart Region Initiative

A community e-portal facilitates dynamic (developing), value (financial and non-financial), constellation (collaborative networks), which supports community integration and economic growth. The OECD has identified that social cohesion rather than narrow economic gain is the most significant outcome for societies where all citizens, through learning and the transfer of knowledge, skills and attitudes, leads to becoming more effective and proactive participants in civil and economic processes. In this work, action research facilitated design, development, and implementation of a community-portal dynamic-value constellation to support networked value chains, community, and local government connectivity. The research gives insights through working closely with stakeholders. The research domain represents a novel value creation model, incorporating technologies and solutions in the context of virtual enterprises, partnerships and joint ventures and other market-driven value constellations, where partners dynamically come together in response to or in anticipation of new market opportunities. Such constellations, however, bring with them significant operational and logistical challenges, about which there has been very little prior knowledge

Global analysis of the controls on seawater dimethylsulfide spatial variability

Dimethylsulfide (DMS) emitted from the ocean makes a significant global contribution to natural marine aerosol and cloud condensation nuclei, and therefore our planet&rsquo;s climate. Oceanic DMS concentrations show large spatiotemporal variability, but observations are sparse, so products describing global DMS distribution rely on interpolation or modelling. Understanding the mechanisms driving DMS variability, especially at local scales, is required to reduce uncertainty in large scale DMS estimates. We present a study of mesoscale and sub-mesoscale (&lt;100 km) seawater DMS variability that takes advantage of the recent expansion in high frequency seawater DMS observations and uses all available data to investigate the typical distances over which DMS varies in all major ocean basins. These DMS spatial variability lengthscales (VLS) are uncorrelated with DMS concentrations. DMS concentrations and VLS can therefore be used separately to help identify mechanisms underpinning DMS variability. When data are grouped by sampling campaigns, almost 80 % of the DMS VLS can be explained using the VLS of sea surface height anomalies, density, and chlorophyll-a. Our global analysis suggests that both physical and biogeochemical processes play an equally important role in controlling DMS variability, in contrast with previous results based on data from the low&ndash;mid latitudes. The explanatory power of sea surface height anomalies indicates the importance of mesoscale eddies in driving DMS variability, previously unrecognised at a global scale and in agreement with recent regional studies. DMS VLS differs regionally, including surprisingly high frequency variability in low latitude waters. Our results independently confirm that relationships used in the literature to parameterise DMS at large scales appear to be considering the right variables. However, contrasts in regional DMS VLS highlight that important driving mechanisms remain elusive. The role of sub-mesoscale features should be resolved or accounted for in DMS process models and parameterisations. Future attempts to map DMS distributions should consider the length scale of variability.</p

Dick o’ the Fens: A Tale of the Great East Swamps

Dialecto Literario. -- Lincolnshire. -- Pertenece a la colección 1800-1950 del Salamanca Corpus. -- George Manville Fenn, 1831-1909. -- Dick o’ the Fens: A Tale of the Great East Swamps. -- 1888.[ES]Novela que se desarrolla en Lincolnshire y que contiene dialecto de Lincolnshire. [EN]Novel set in Lincolnshire which contains Lincolnshire dialect

Eli's children. The chronicles of an unhappy family.

Mode of access: Internet

Third Revision of the Global Surface Seawater Dimethyl Sulfide Climatology (DMS-Rev3)

This paper presents an updated estimation of the bottom-up global surface seawater dimethyl sulfide (DMS) climatology. This update, called DMS-Rev3, is the third of its kind and includes five significant changes from the last climatology, ‘L11’ (Lana et al., 2011) that was released about a decade ago. The first change is the inclusion of new observations that have become available over the last decade, creating a database of 872,427 observations leading to a ~18-fold increase in raw data as compared to the last estimation The second is significant improvements in data handling, processing, and filtering, to avoid biases due to different observation frequencies which results from different measurement techniques. Thirdly, we incorporate the dynamic seasonal changes observed in the geographic boundaries of the ocean biogeochemical provinces. The fourth change involves the refinement of the interpolation algorithm used to fill in the missing data. And finally, an upgraded smoothing algorithm based on observed DMS variability length scales (VLS) helps to reproduce a more realistic distribution of the DMS concentration data. The results show that DMS-Rev3 estimates the global annual mean DMS concentration to be ~1.87 nM (2.35 nM without a sea-ice mask), i.e., about 4 % lower than the previous bottom-up ‘L11’ climatology. However, significant regional differences of more than 100 % as compared to L11 are observed. The global sea to air flux of DMS is estimated at ~27 TgS yr−1 which is about 4 % lower than L11, although, like the DMS distribution, large regional differences were observed. The largest changes are observed in high concentration regions such as the polar oceans, although oceanic regions that were under-sampled in the past also show large differences between revisions of the climatology. Finally, DMS-Rev3 reduces the previously observed patchiness in high productivity regions.

The Athenian economy in the age of Demosthenes: path dependence and change

Economic change and development, Path-dependence, Ancient Athenian economy, K00, N00, N01, N13,