A Model for Task Repartioning under Data Replication

We propose a two-phase model for solving the problem of task repartitioning under data replication with memory constraints. The hypergraph-partitioning-based model proposed for the first phase aims to minimize the total message volume that will be incurred due to the replication/migration of input data while maintaining balance on computational and receive-volume loads of processors. The network-flow-based model proposed for the second phase aims to minimize the maximum message volume handled by processors via utilizing the flexibility in assigning send-communication tasks to processors, which is introduced by data replication. The validity of our proposed model is verified on parallelization of a direct volume rendering algorithm

Primary psoas muscle abscess diagnosed and treated during pregnancy: case report and literature review.

BACKGROUND: Primary psoas muscle abscess is rare and can be difficult to diagnose, particularly during pregnancy. CASE: To our knowledge, this is the first case of primary psoas muscle abscess diagnosed during pregnancy. Clinical investigation did not reveal any infection spreading from adjacent structures. Surgical drainage and simultaneous Cesarean delivery of the infant, combined with appropriate antibiotics, enabled a cure. CONCLUSION: The possibility of psoas muscle abscess should be taken into account when investigating lower back pain during pregnancy if conventional approaches are unsatisfactory

Identifying Non-Adopter Consumer Segments:An Empirical Study on Earthquake Insurance Adoption in Turkey

In recent years, steadily climbing natural disaster losses have increased the need to promote new financial risk transfer mechanisms, including insurance, as a mitigation tool to build resilient communities to recover faster after disaster occurrence. However, while the societal need for such policies is high, demand for natural disaster insurance typically is still low. While there is ample research on positive adoption decisions, reasons for non-adoption has not yet received the attention it deserves. Using the case of earthquake insurance in Turkey, this study investigates how public policy makers and insurance companies can differentiate non-adopter segments and consequently develop targeted strategies to stimulate the uptake of disaster insurance. Our study develops a non-adopter typology consisting of four segments-state reliant positivist, dependers, adversaries, and uninformed loners. Differences among segments provide policy makers and insurance companies with meaningful insights to design and consequently introduce affordable natural disaster insurance to the market