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AbstractUntreated sewage sludge potentially contains a wide range of enteric pathogens that present a risk to human health. Mesophilic anaerobic digestion (MAD) is the most‐favoured process for sewage sludge treatment in the United Kingdom. It is a well‐established approach to sludge stabilisation, but the mechanisms responsible for pathogen removal are poorly understood. Operational data collected by Thames Water from conventional MAD sites were statistically scrutinised to examine the effects of primary and secondary digestion on the removal of the enteric indicator bacteria, Escherichia coli, by using the IBM SPSS statistical software package for ANOVA, post‐hoc and multiple regression analysis. The results showed that the process temperature conditions at the MAD plants were equivalent to or exceeded the minimum estimated by the analysis necessary to comply with the 2 log10 removal standard for E. coli. The results also showed that primary digestion conditions (specifically temperature) sublethally damaged E. coli and increased decay in secondary digestion and therefore over the whole digestion process.

The Climate Legislation Study covers over 850 national laws and policies directly related to climate change mitigation and adaptation. Launched in 2010 covering only 16 countries, the study currently covers 99 jurisdictions, which, taken together, produce 93 per cent of global emissions and are home to 90 per cent of the world's forests. The database includes 46 of the world's top 50 emitters.

The Climate Legislation Study covers over 850 national laws and policies directly related to climate change mitigation and adaptation. Launched in 2010 covering only 16 countries, the study currently covers 99 jurisdictions, which, taken together, produce 93 per cent of global emissions and are home to 90 per cent of the world's forests. The database includes 46 of the world's top 50 emitters.

ABSTRACTThis paper uses propensity score matching techniques and ordinary least square regressions to examine the relationship between exporting and productivity growth in the Taiwan electronics industry. Using data from three census years, we find that plants with higher productivity growth tend to enter the export market, supporting the self‐selection mechanism. The evidence of learning‐by‐exporting is mixed, however. While the plants exporting throughout the sample period show small differences in productivity growth from non‐exporters in the downturn period, continuing exporters outperform non‐exporters in the upturn period. Thus, our results suggest that the direction of causality mainly runs from productivity to exporting rather than vice versa.

Wei Xiong,1 Mei Xu,2 Yunfeng Zhao,3 Xueling Wu,4 Bigyan Pudasaini,1 Jin-ming Liu1 1Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University School of Medicine, 2Department of Pediatrics, Gongli Hospital, Second Military Medical University, 3Department of Respiratory Medicine, Punan Hospital, 4Department of Respiratory Medicine, Renji Hospital, Jiaotong University School of Medicine, Shanghai, People's Republic of China Background: The major characteristic of COPD is systemic inflammation. The parameters such as neutrophil-to-lymphocyte ratio (NLR) and eosinophil-to-basophil ratio (EBR) in routine blood test (RBT) are considered to be the underlying biomarkers of inflammation. We hypothesized that the prognosis of patients with COPD can be predicted with RBT. Methods: Patients with COPD in stable stage were enrolled. The RBT, pulmonary function testing (PFT), BODE index, C-reactive protein (CRP), procalcitonin, and erythrocyte sedimentation rate (ESR) were performed at enrollment and every follow-up once in every 3 months during the 24-month follow-up period. Meanwhile, exacerbation count and mortality incidence were recorded. The correlation between the prognostic biomarkers and the prognosis of patients was analyzed. Results: The NLR and EBR in RBT have a significant correlation with the severity of patients with COPD. The NLR is an independent predictor for mortality and the EBR is an independent predictor for exacerbation. Conclusion: As an inexpensive, accessible, and convenient assay, RBT may be used as a practical means in the prediction of prognosis of patients with COPD in future clinical settings. Keywords: COPD, prognosis, inflammation, routine blood test, neutrophil-to-lymphocyte ratio, eosinophil-to-basophil ratio