Evaluation and Establishing Strategies of Blended Learning

Blended learning is a new emerging learning method which integrates online learning and face-to- face learning. This paper aims at discussing the advantages and disadvantages of blended learning and propose approaches to fix some existing problems. Moreover, this paper also gives attention to Chinese blended learning experimental examples. The ultimate goal is to improve hybrid learning and benefit students and teachers

Correctional education development in China: an exploratory analysis of quantitative data between 2009 and 2016

Purpose: We examined the development of correctional education in China with reference to the National Plan (2010-2020

Microbial immobilization technology for remediation of petroleum hydrocarbon contaminated soil

Petroleum hydrocarbon is a kind of global pollutant that is difficult to degrade. The remediation of petroleum hydrocarbon contaminated soil has always been a challenging subject for environmentalists. Microbial immobilization technology (MIT) has the advantages of high efficiency, stability, low cost and environmental friendliness. It shows great application potential in soil remediation. In recent years, the study of microbial immobilization technology for remediation of petroleum hydrocarbon contaminated soil is in the ascendant. Microbial immobilization technology has become an effective way to improve microbial degradation of petroleum hydrocarbons in soil. This paper discusses the research progress of microbial immobilization technology, summarizes the different characteristics of carrier materials, microorganisms, immobilization methods and influencing factors in the immobilization process and their effects on the immobilization effect, and expounds the research status and development trend of immobilization technology for the remediation of petroleum hydrocarbon contaminated soil

Linear Scaling Calculations of Excitation Energies with Active-Space Particle-Particle Random Phase Approximation

We developed an efficient active-space particle-particle random phase approximation (ppRPA) approach to calculate accurate charge-neutral excitation energies of molecular systems. The active-space ppRPA approach constrains both indexes in particle and hole pairs in the ppRPA matrix, which only selects frontier orbitals with dominant contributions to low-lying excitation energies. It employs the truncation in both orbital indexes in the particle-particle and the hole-hole spaces. The resulting matrix, the eigenvalues of which are excitation energies, has a dimension that is independent of the size of the systems. The computational effort for the excitation energy calculation, therefore, scales linearly with system size and is negligible compared with the ground-state calculation of the (N-2)-electron system, where N is the electron number of the molecule. With the active space consisting of 30 occupied and 30 virtual orbitals, the active-space ppRPA approach predicts excitation energies of valence, charge-transfer, Rydberg, double and diradical excitations with the mean absolute errors (MAEs) smaller than 0.03 eV compared with the full-space ppRPA results. As a side product, we also applied the active-space ppRPA approach in the renormalized singles (RS) T-matrix approach. Combining the non-interacting pair approximation that approximates the contribution to the self-energy outside the active space, the active-space $G_{\text{RS}}T_{\text{RS}}$@PBE approach predicts accurate absolute and relative core-level binding energies with the MAE around 1.58 eV and 0.3 eV, respectively. The developed linear scaling calculation of excitation energies is promising for applications to large and complex systems