S/Se dual-doping promotes the formation of active Ni/Fe oxyhydroxide for oxygen evolution reaction of (sea)water splitting

Surface reconstruction produces metal oxyhydroxide (1OOH) active sites, and promoting surface reconstruction is essential for the design of OER electrocatalysts. In this paper, we reported that a large amount of active NiFeOOH was generated in-situ on the surface of nickel-iron sulfide selenide, thus exposing more active sites and efficiently catalyzing OER. In 1 M KOH solution, NiFeOOH(S,Se) achieves an ultra-low overpotential of 195 mV at the current density of 10 mA cm^?2, and the Tafel slope is only 31.99 mV dec^?1, showing excellent catalytic performance. When the current density is 100  mA cm^?2, the over-potential of NiFeOOH(S,Se) in KOH + seawater solution is 239 mV, which is almost equivalent to 231 mV in KOH solution. The excellent OER stability of the NiFeOOH(S,Se) catalyst in alkaline electrolytes was confirmed, and the overpotential did not change significantly after 4 days of testing in KOH + seawater solution.     

Liquid-phase epoxidation of propylene with molecular oxygen by chloride manganese meso-tetraphenylporphyrins

Propylene molecule owns two active sites, the direct epoxidation of propylene by dioxygen is still a challenge due to the limitation of selectivity. In this work, the direct liquid-phase propylene aerobic epoxidation protocol by chloride manganese meso-tetraphenylporphyrin (MnTPPCl) was developed. The conversion of propylene was 12.7%, and the selectivity towards PO (propylene oxide) reached up to 80.5%. The formation of PO was attributed to the mechanism via high-valent Mn species, which was confirmed by means of in situ UV–vis spectrum.     

Subspace-based multitask learning framework for hyperspectral imagery classification

Multimedia Tools and Applications - Subspace-based models have been widely applied for hyperspectral imagery applications, especially for classification. The main principle of these methods is...     

Equilibrium consumption and portfolio decisions with stochastic discount rate and time-varying utility functions

OR Spectrum - This paper studies a multi-period investment–consumption optimization problem with a stochastic discount rate and a time-varying utility function, which are governed by a...     

Sensitivity of a solid Eu(III) complex towards acetonitrile vapor: Structural and spectroscopic characterization

The Eu(III) nitrate complex of the meso- N,N′-bis(2-pyridylmethylene)-1,2-(R,S)-cyclohexanediamine ligand was synthesized and characterized by single crystal and powder X-ray diffraction. The crystal lattice of the complex is capable of absorbing and desorbing selectively acetonitrile molecules, at 293 K upon an acetonitrile vapor pressure of ∼0.1 × 10⁵ Pa. This process, which is partially reversible, can be easily followed by both powder X-ray diffraction (P-XRD) and Eu(III) luminescence spectroscopy. The acetonitrile molecule, located in the outer coordination sphere of the metal ion, does not affect the radiative transition probability of ⁵D₀ level of Eu(III) and also it does not activate further non-radiative channels from this level. On the other hand, this molecule is capable of affecting the energy position and intensities of the crystal field components of the ⁵D₀→⁷F₂ transition. The complex in solid form can be considered a promising material for the optical sensing of acetonitrile vapors.     

How does the new-type urbanisation affect CO2 emissions in China? An empirical analysis from the perspective of technological progress

The development of traditional urbanisation has generated environmental problems, so the Chinese Government has proposed a new-type of urbanisation path with uniquely Chinese characteristics. How does this new-type of urbanisation affect CO₂ emissions? Based on panel data from 29 provinces in China (2005 to 2016), we apply an exploratory spatial data analysis model, a spatial econometric model, and a threshold model to analyse the spatial autocorrelation of CO₂ emissions, the direct and indirect effects of new-type urbanisation on CO₂ emissions, and the threshold characteristics produced by technological progress, respectively. The key results are: (1) CO₂ emissions show significant positive autocorrelation in China, and the spatial distribution of CO₂ emissions is HH (High-High) or LL (Low-Low) clustered in most provinces; (2) new-type urbanisation has a paradoxical effect on CO₂ emissions. Energy-saving technology has a rebound effect on CO₂ emissions, but environmental technology inhibits CO₂ emissions; (3) by eliminating the rebound effect of energy-saving technology on CO₂ emissions and promoting environmental technology, new-type urbanisation indirectly inhibits CO₂ emissions; (4) new-type urbanisation exhibits a threshold effect on CO₂ emissions due to the different levels of energy-saving technology and environmental technology. Finally, policy recommendations for CO₂ emissions reduction are proposed from the perspective of new-type urbanisation, energy-saving technology, and environmental technology.     

An iterative tessellation-based analytical approach to the design and planning of waste management regions

Collection and transportation of solid waste are costly for municipal budgets. This study challenges the use of existing administrative boundaries in waste management applications. By reducing the spread (standard deviation) of parameters (landfills, populated places, and roads), efficient and practical waste management regions are created. A novel alteration to the Centroidal Voronoi Tessellation (CVT) algorithm is proposed where Thiessen polygons are created using the central feature of a subset of data instead of the geometric centroid. The results applying the central feature method are compared to traditional CVT methods. Two Canadian provinces (Saskatchewan and Nova Scotia), the City of Regina, and two New York City boroughs (Manhattan and the Bronx) are investigated. Results suggest that the newly proposed tool can reduce the standard deviation of selected parameters compared to CVT. The spatial distribution of data and the geometry of the input tessellations are important factors in optimization. In Saskatchewan, reductions in parameter standard deviations ranged between 7.0 and 23.8% when comparing the two methods. In Nova Scotia, reductions in standard deviation of 9.64–13.25% were observed. In the City of Regina, wards may be more effective in planning solid waste collection compared to current solid waste collection boundaries. The standard deviation of parameters was minimized by 32.2–55.0% in New York. The proposed method may be able to efficiently create waste management regions in both cities and provinces, helping to reduce waste collection and transportation costs by ensuring an even spread of parameters in each region.