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The first-pass clearance of dietary N-nitrosodimethylamine (NDMA) by the liver is the most important factor in the pharmacokinetics of this carcinogen in the rat, but is less important in the pharmacokinetics of N-nitrosodiethylamine (NDEA). The reason for the difference in clearance of these two nitrosamines is not known. These experiments were carried out to see whether the general characteristics of the clearance of these two carcinogens in vivo could be reproduced in the perfused liver, and whether the clearance could be correlated with the Michaelis-Menten parameters Km and Vmax for their metabolism. If this could be done one would be able to predict the possible extent of first-pass clearance of nitrosamines in man from measurement of Km and Vmax for nitrosamine metabolism by the human liver. The Km (22 microM) and Vmax (10.2 and 13.4 nmol/g liver/min) for the metabolism of NDMA by slices from two human livers, the inhibition of that metabolism by ethanol (Ki 0.5 microM), and the rate of N-7 methylation of DNA when slices are incubated with NDMA, were measured. These results are similar to those reported previously with rat liver. The Km (27 microM) for the metabolism of NDEA by rat liver slices and the inhibition of that metabolism by ethanol (Ki 1 microM) were estimated from the rate of ethylation of the DNA of the slices. The clearance of both these nitrosamines by the perfused rat liver was measured, and the results appeared to parallel those in vivo with a striking difference between the clearance of NDMA and NDEA. The maximal rate of clearance of NDMA was 11.2 nmol/g liver/min and of NDEA 8.9 nmol/g liver/min, similar to the Vmax for metabolism of NDMA by liver slices and to the estimated maximal rate of liver metabolism of both nitrosamines in the living rat. However, although the Km for metabolism of these two nitrosamines by liver slices is similar (about 25 microM), the logarithmic mean sinusoidal concentration [see Bass and Keiding, Biochem Pharmacol 37: 1425-1431, 1988] giving half maximal clearance during perfusion (the equivalent to Km) was 2.3 microM for NDMA and 10.6 microM for NDEA. The almost 5-fold difference between these two values is the basis for the difference between the clearance of the two nitrosamines.(ABSTRACT TRUNCATED AT 400 WORDS)

Suvilahti, a suburb of the city of Vaasa in western Finland, was the first area to use seabed sediment heat as the main source of heating for a high number of houses. Moreover, in the same area, a unique land uplift effect is ongoing. The aim of this paper is to solve the challenges and find opportunities caused by global warming by utilizing seabed sediment energy as a renewable heat source. Measurement data of water and air temperature were analyzed, and correlations were established for the sediment temperature data using Statistical Analysis System (SAS) Enterprise Guide 7.1. software. The analysis and provisional forecast based on the autoregression integrated moving average (ARIMA) model revealed that air and water temperatures show incremental increases through time, and that sediment temperature has positive correlations with water temperature with a 2-month lag. Therefore, sediment heat energy is also expected to increase in the future. Factor analysis validations show that the data have a normal cluster and no particular outliers. This study concludes that sediment heat energy can be considered in prominent renewable production, transforming climate change into a useful solution, at least in summertime.

Terrorism, organised crime and corruption: Networks and linkagesEdited by Leslie T. Holmes Cheltenham, UK: Edward Elgar Publishing, 2007. £69.95 (hardcover only). ISBN: 978‐1‐84542‐537‐1

The combination of microbial fuel cells (MFCs) with constructed wetlands (CWs) for enhancing water purification efficiency and generating bioelectricity has attracted extensive attention. However, the other benefits of MFC-CWs are seldom reported, especially the potential for controlling gaseous emissions. In this study, we have quantitatively compared the pollutant removal efficiency and the emission of multiple gases between MFC-CWs and batch-fed wetland systems (BF CWs). MFC-CWs exhibited significantly (p < 0.01) higher COD, NH4+-N, TN, and TP removal efficiencies and significantly (p < 0.01) lower global warming potential (GWP) than BF CWs. The integration of MFC decreased GWP by 23.88% due to the reduction of CH4 and N2O fluxes, whereas the CO2 fluxes were slightly promoted. The quantitative PCR results indicate that the reduced N2O fluxes in MFC-CWs were driven by the reduced transcription of the nosZ gene and enhanced the ratio of nosZ/(nirS + nirK); the reduced CH4 fluxes were related to pomA and mcrA. Additionally, the NH3 fluxes were reduced by 52.20% in MFC-CWs compared to BF CWs. The integration of MFC promoted the diversity of microbial community, especially Anaerolineaceae, Saprospiraceae and Clostridiacea. This study highlights a further benefit of MFC-CWs and provides a new strategy for simultaneously removing pollutants and abating multiple gas emissions in BF CWs.

PurposeThe purpose of this paper is to explore why, despite the development of a hybrid investing logic, funding problems are so persistent for early-stage Cleantech ventures (“Cleantechs”). An institutional logics lens is adopted to analyze how key actors' perceptions and communications of the Cleantech value proposition shape information asymmetries (IAs).Design/methodology/approachA mixed methods approach draws on 82 Cleantech pitch decks and 31 investment guidance documents, and insights from interviews with 42 key informants and nine Cleantech CEOs and their investors.FindingsIAs persist, first of all, because key investor and entrepreneurial actors combine different goals in the hybrid Cleantech value proposition. Interestingly, the analysis of Environmental Performance Indicators (EPIs) as a critical communication tool reveals a further mismatch in how actors actually combine logics. The authors ultimately identify three emergent actor roles – traditional laggard, developer and boundary spanner – that present a framework of how the three most influential actor groups develop EPIs and via that a hybrid Cleantech financing logic to overcome IAs.Originality/valueThe paper enhances the entrepreneurial finance literature primarily by showing that in contexts of hybrid investing a more nuanced understanding of institutional logics in terms of ends and means is critical to overcome IAs. While prior works highlight goal incompatibilities, the findings here suggest that the (in-)compatibility of goals as well as EPI choices of the same actors is likely to be the key explanandum for the stickiness of IAs and the funding gap. The novel emerging role framework offers additional theoretical, policy and practical advances for hybrid logic development.

The first issue of JAISE in 2023 is devoted to a Thematic Issue that explores the relationship of Intelligent Environments with energy and sustainability topics, not forgetting the security component in their development. 2 páginas

Nature-inspired metaheuristic algorithms, especially those based on swarm intelligence, have attracted much attention in the last ten years. Firefly algorithm appeared in about five years ago, its literature has expanded dramatically with diverse applications. In this paper, we will briefly review the fundamentals of firefly algorithm together with a selection of recent publications. Then, we discuss the optimality associated with balancing exploration and exploitation, which is essential for all metaheuristic algorithms. By comparing with intermittent search strategy, we conclude that metaheuristics such as firefly algorithm are better than the optimal intermittent search strategy. We also analyse algorithms and their implications for higher-dimensional optimization problems. 15 pages