Characterization of recombinant influenza B viruses with key neuraminidase inhibitor resistance mutations

Objectives and methods: An influenza B virus plasmid-based rescue system was used to introduce site-specific mutations, previously observed in neuraminidase (NA) inhibitor-resistant viruses, into the NA protein of six recombinant viruses. Three mutations observed only among in vitro selected zanamivir-resistant influenza A mutants were introduced into the B/Beijing/1/87 virus NA protein, to change residue E116 to glycine, alanine or aspartic acid. Residue E116 was also mutated to valine, a mutation found in the clinic among oseltamivir-resistant viruses. An arginine to lysine change at position 291 (292 N2 numbering) mimicked that seen frequently in influenza A N2 clinical isolates resistant to oseltamivir. Similarly, an arginine to lysine change at position 149 (152 in N2 numbering) was made to reproduce the change found in the only reported zanamivir-resistant clinical isolate of influenza B virus. In vitro selection and prolonged treatment in the clinic leads to resistance pathways that require compensatory mutations in the haemagglutinin gene, but these appear not to be important for mutants isolated from immunocompetent patients. The reverse genetics system was therefore used to generate mutants containing only the NA mutation. Results and conclusions: With the exception of a virus containing the E116G mutation, mutant viruses were attenuated to different levels in comparison with wild-type virus. This attenuation was a result of altered NA activity or stability depending on the introduced mutation. Mutant viruses displayed increased resistance to zanamivir, oseltamivir and peramivir, with certain viruses displaying cross-resistance to all three drugs.

Deconstruction plan assessment using multi-criteria decision-making methods

The purpose of this paper is to present two multi-criteria decision-making models, including an Analytic Hierarchy Process (AHP) model and an Analytic Network Process (ANP) model for the assessment of deconstruction plans and to make a comparison between the two models with an experimental case study. Deconstruction planning is under pressure to reduce operation costs, adverse environmental impacts and duration, in the meanwhile to improve productivity and safety in accordance with structure characteristics, site conditions and past experiences. To achieve these targets in deconstruction projects, there is an impending need to develop a formal procedure for contractors to select a most appropriate deconstruction plan. Because numbers of factors influence the selection of deconstruction techniques, engineers definitely need effective tools to conduct the selection process. In this regard, multi-criteria decision-making methods such as AHP have been adopted to effectively support deconstruction technique selection in previous researches. in which it has been proved that AHP method can help decision-makers to make informed decisions on deconstruction technique selection based on a sound technical framework. In this paper, the authors present the application and comparison of two decision-making models including the AHP model and the ANP model for deconstruction plan assessment. The paper concludes that both AHP and ANP are viable and capable tools for deconstruction plan assessment under the same set of evaluation criteria. However, although the ANP can measure relationship among selection criteria and their sub-criteria, which is normally ignored in the AHP, the authors also indicate that whether the ANP model can provide a more accurate result should be examined in further research.

Ventilation rates in schools

Research shows that poor indoor air quality in school buildings can cause a reduction in the students' performance assessed by short term computer based tests; whereas good air quality in classrooms can enhance children's concentration and also teachers' productivity. Investigation of air quality in classrooms helps us to characterise pollutant levels and implement corrective measures. Outdoor pollution, ventilation equipment, furnishings, and human activities affect indoor air quality. In school classrooms the occupancy density is high (1.8 to 2.4 m(2)/person) compared to offices (10 m(2) /person). Ventilation systems expend energy and there is a trend to save energy by reducing ventilation rates. We need to establish the minimum acceptable level of fresh air required for the health of the occupants. This paper describes a project which will aim to investigate the effect of indoor air quality and ventilation rates on pupils' performance and health using psychological tests. The aim is to recommend suitable ventilation rates for classrooms and examine the suitability of the air quality guidelines for classrooms.