Researching shadow education: Methodological challenges and directions

Research on shadow education has considerably increased in volume and has helped to improve understanding of the scale, nature, and implications of the phenomenon. However, the field is still in its infancy. Literature on shadow education reflects confusion over terms and parameters, and data suffer from challenges in securing evidence from actors who may be unwilling or unable to respond to enquiries in a clear manner. Particular care is needed in cross-national and cross-cultural comparisons. Nevertheless, the trajectory of improvement in both conceptualisation and instrumentation gives ground for confidence that shadow education will be progressively better documented and better understood. © Education Research Institute, Seoul National University, Seoul, Korea 2010.published_or_final_versionSpringer Open Choice, 01 Dec 201

Computational modelling for cerebral aneurysms: risk evaluation and interventional planning.

Advanced computational techniques offer a new array of capabilities in the healthcare provision for cerebral aneurysms. In this paper information is provided on specific simulation methodologies that address some of the unanswered questions about intracranial aneurysm and their treatment. These include the evaluation of rupture risk, the thrombogenic characteristics of specific lesions and the efficacy assessment of particular interventional techniques and devices (e.g. endovascular coil embolisation and flow diversion using stents). The issues connected with ease-of-use and interactivity of computed simulations is discussed, and it is concluded, that the potential of these techniques to optimise planning of complex and multifaceted interventions is very significant, in spite of the fact that most of the methodologies described are still being developed and perfected

Optimization of Cellulase Production by Halobacillus sp. QLS 31 Isolated from Lake Qarun, Egypt.

A halophilic cellulase-producing bacterium was isolated from a sediment sample collected from Lake Qarun (Fayoum Province, Egypt). Molecular identification based on 16S rDNA amplification and sequencing revealed 99% homology with Halobacillus sp. and hence was designated as Halobacillus sp. QLS 31. Medium composition and culture conditions were optimized for enhancing the production of cellulase enzyme using the Plackett-Burman statistical design. Ten variables were evaluated for their influence on cellulase production. Carboxymethyl cellulose (CMC), zinc sulfate (ZnSO4), and inoculum size were found to exert a significant effect on cellulase productivity by Halobacillus sp. QLS 31. The maximum specific activity of cellulase enzyme was 48.08 U/mg. Following the predicted conditions, a 7.5-fold increase in cellulase specific activity (175.47 U/mg) was achieved compared to the basal medium (23.19 U/mg) under the following optimized conditions: temperature (30 °C), fermentation time (2 days ), pH value (9), CMC concentration (1%), inoculum size (1%), yeast extract concentration (0.1%), ammonium sulfate ((NH3)2SO4) concentration (0.1%), sodium chloride (NaCl) concentration (20%), and metal inducers: ZnSO4 (0.1%) and Ca/Mg ratio (0.01%). Thus, the results of this study provide an important basis for more efficient, cheap industrial cellulase production from halophilic Halobacillus sp. QLS 31