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2 years ago

In this study we developed

In this study, we developed an effective strategy to greatly improve the equilibrium adsorption capacity of salicylic acid. For this purpose, Biotin-HPDP magnetic poly (glycidyl methacrylate) (PGMA) was firstly prepared by suspension copolymerization of glycidyl methacrylate (GMA) and divinylbenzene (DVB) with the addition of oleic acid-coated Fe3O4 nanoparticles, then hydrophobic polydivinylbenzene (PDVB) networks were interpenetrated in the pores of the magnetic PGMA networks, and the hydrophobic–hydrophobic magnetic PGMA/PDVB IPNs was synthesized according to a typical IPNs technology. After that, an amination reaction was performed for the magnetic PGMA/PDVB IPNs and the first hydrophobic PGMA networks in the IPNs were transformed to hydrophilic poly (methyl acryloyl diethylenetriamine) (PMADETA) networks, and hence a magnetic PMADETA/PDVB IPNs was synthesized. After characterizing the magnetic PMADETA/PDVB IPNs by Fourier transform infrared spectroscopy (FT-IR), N2 adsorption isotherms, vibrating sample magnetometer (VSM) and transmission electron microscopy (TEM), the adsorption property of the magnetic PMADETA/PDVB IPNs was evaluated from aqueous solution by using salicylic acid as the model adsorbate, the equilibrium adsorption and column adsorption were investigated in detail.

2 years ago

Selected water quality parameters of SMPs mg L

Selected water quality parameters Amrubicin SMPs (mg/L).ConditionsDOCTNNH4+-NNO3−-NNO2−-NDONNS23.0 ± 2.5a7.6 ± 0.40.041 ± 0.0030.99 ± 0.070.019 ± 0.0026.5 ± 0.3HA26.6 ± 1.3290 ± 7240 ± 141.38 ± 0.080.017 ± 0.00348.6 ± 7.2HS60.7 ± 2.821.6 ± 1.70.161 ± 0.0074.98 ± 0.180.181 ± 0.01416.3 ± 1.5HM40.6 ± 2.93.8 ± 0.30.061 ± 0.0071.00 ± 0.030.011 ± 0.0032.7 ± 0.2HT190.0 ± 1.433.2 ± 2.119.372 ± 0.9322.59 ± 0.020.030 ± 0.00411.2 ± 1.2DOC = dissolved organic carbon; TN = total nitrogen; NH4+-N = ammonia nitrogen; NO3−-N = nitrate nitrogen; NO2−-N = nitrite 'Amrubicin' nitrogen; DON = dissolved organic nitrogen; NS = normal state, HA = high ammonia content, HS = high salinity, HM = high level of heavy metal, HT = high temperature.aValues are sex hormones presented as mean ± standard deviation (based on duplicate analyses).Full-size tableTable optionsView in workspaceDownload as CSV

2 years ago

In the main study the gas temperatures

In tsa hdac main study, the gas temperatures in the kiln were lower than the set temperature of 400 °C when treating all ash samples. The highest temperature, 386 °C, was reached in experiments with ash A, while in experiments with ashes B and C gas temperatures reached 352 and 366 °C, respectively. The lower temperatures recorded in experiments with ash A during the main study compared to the screening study could be due to increases in its moisture content as the ash exhibited hygroscopic properties. Overall, the lower gas temperatures likely depended on the ash heat transfer capacity as wall temperatures were the same in all experiments. Stable treatment temperatures were reached approximately 40 min into the 120-min treatment time (Fig. S2, Supplementary information). Ash B differed in behavior from ashes A and C, as geological time tended to stick to the kiln wall while A and C samples were coarser and tumbled more. This difference may have been due to ash B’s higher chlorine content, as alkali chlorides tend to be sticky and bind together.

2 years ago

Fig xA Cardinal points of an optical imaging system

Fig. 4 shows the effect of ambient air pressure on mean droplet size for PL = 1.0 MPa and PL = 4.0 MPa. The data for PL = 3.0 MPa are quite similar to those for PL = 4.0 MPa. The results show that under each certain pressure of water mist system, the mean water mist droplet diameter decreases with a decrease in ambient air pressure from 0.10 to 0.02 MPa, where as it Atomoxetine increases with a decrease in working pressure. This variation in the effect of the ambient air pressure on the mean diameter of water mist droplets is in partial agreement with the results reported by Wang and Lefebvre [5] and [25]. The results obtained by Wang and Lefebvre showed that the Sauter mean diameter of a diesel-oil spray increased with an increase in ambient pressure up to a maximum value (i.e., 0.1–0.4 MPa) and then decreased with a further increase in Pa. The data reported in biosphere study may partially fill the gap in the literature data, especially for the cases of low ambient air pressure, i.e., Pa < 0.1 MPa.

2 years ago

Summary of features of nanoparticle

Fig. 2. Schematic CHF model diagrams and correlations: (a) Kutateladze and Zuber [24], (b) Haramura and Katto [27] and (c) Kandlikar [30].Figure optionsDownload full-size imageDownload as PowerPoint slide
Additionally, to reasonably explain CHF phenomena on micro/nanostructured surfaces, a modified macrolayer dry-out model [36], the effect of thermal conduction on a heater surface [25], and capillary wicking [37] have been presented as key mechanisms. However, these HKI272 are qualitative ideas and a generalized theory has not yet been established.
Although CHF phenomena are extremely complicated and occur in a severe boiling state, secondary compounds may be possible to partially explain their physical nature based on the above researches. Therefore, for the accurate prediction of the CHF value and realizing a further optimized design of a CHF enhancement surface, a comprehensive understanding of previously established researches is required.
2. Fabrication and preparation of micro/nanostructured surfaces for boiling heat transfer enhancement

2 years ago

In order to stabilise the CO concentration in the atmosphere

Fossil fuels today represent around 85% of the global primary energy demand. The trend is that fossil fuels – oil, coal and natural gas – will continue to meet most of the world's energy needs in the foreseeable future (IEA, 2012b). Fossil fuels will remain the Ezetimibe source of energy through to 2035 in all IEA scenarios, although their respective share in the mix in 2035 varies markedly. It is no table that renewables, except hydro and bioenergy, still meet less than 1% of the total primary energy demand. Their share is expected to rise, but in absolute figures the amount of fossil fuels will also increase, and therefore related CO2 emissions. There is nothing in the on-going trends that contradicts this conclusion, although there are of course a lot of uncertainties, mainly political, regarding fossil fuels as pointed out in the World Energy Outlook 2012 (IEA, 2012b). However, the belief that renewables like solar and wind energy can play a central role to reduce GHG emissions just does not seem realistic. The strong global demand for fossil fuels is influential in international relations, where conflicts can suddenly change the arena. This can already be seen in developments in the Middle East, Northern Africa and Eastern Europe, and in more recent crisis in Ukraine. A global economic crisis and/or conflicts escalating to war could suddenly decrease GHG emissions. This is, however, a mitigation option, which no one would wish for.

2 years ago

Data sources Data were obtained

Hence, the total amount of GHG emissions from the logistics services in a particular year K02288 given in Eq. (2) as follows:equation(2)GHGtotal=∑mj=14∑di=1k[(WHK→di,mj+Wdi→HK,mj)×DISTHK−di,mj×EFmj]
The environmental effectiveness of Hong Kong's logistics sector as a whole and a particular transportation mode mj are determined from Eq. (3a) and (3b):equation(3a)ENVEFF=GHGtotalTVADDequation(3b)ENVEFFmj=GHGmjVADDmjwhere TVADD is the total value added in a particular year in HKD, and VADDmjVADDmj is the value added in a particular year due to the transportation mode mj. Eq. (3a) and (3b) shows hemophilia a lower value of ENVEFF (or ENVEFFmjENVEFFmj) represents the transport mode to be more environmentally friendly.
In addition to the environmental performance, the economic performance in terms of productivity per tonne-km of cargo due to the logistics services needs to be determined and is given in Eq. (4a) and (4b).equation(4a)PRODtotal=TVADD∑mj=14∑di=1k[(WHK→di,mj+Wdi→HK,mj)×DISTHK−di,mj]equation(4b)PRODmj=VADDmj∑di=1k[(WHK→di,mj+Wdi→HK,mj)×DISTHK−di,mj]