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Nucleic acid-based systems play important roles in antiviral defense, including CRISPR/Cas that adopts RNA-guided DNA cleavage to prevent DNA phage infection and RNA interference (RNAi) that employs RNA-guided RNA cleavage to defend against RNA virus infection. Here, we report a novel type of nucleic acid-based antiviral system that exists in mouse embryonic stem cells (mESCs), which suppresses RNA virus infection by DNA-mediated RNA cleavage. We found that the viral RNA of encephalomyocarditis virus can be reverse transcribed into complementary DNA (vcDNA) by the reverse transcriptase (RTase) encoded by endogenous retrovirus-like elements in mESCs. The vcDNA is negative-sense single-stranded and forms DNA/RNA hybrid with viral RNA. The viral RNA in the heteroduplex is subsequently destroyed by cellular RNase H1, leading to robust suppression of viral growth. Furthermore, either inhibition of the RTase activity or depletion of endogenous RNase H1 results in the promotion of virus proliferation. Altogether, our results provide intriguing insights into the antiviral mechanism of mESCs and the antiviral function of endogenized retroviruses and cellular RNase H. Such a natural nucleic acid-based antiviral mechanism in mESCs is referred to as ERASE (endogenous RTase/RNase H-mediated antiviral system), which is an addition to the previously known nucleic acid-based antiviral mechanisms including CRISPR/Cas in bacteria and RNAi in plants and invertebrates.

This paper presents a multi-objective Pareto optimal method for allocation of fault current limiters based on an immune algorithm, which takes into account two objectives of the cost and fault current mitigation effect. A sensitivity factor calculation method based on the rate of fault current mitigation is proposed to reduce the search space and improve the efficiency of the algorithm. In this approach, the objective functions related to the cost and fault current mitigation effect are established. A modified inversion operator based on equal cost is proposed to converge to global optimal solutions more effectively. The proposed algorithm is tested on the IEEE 39-bus system, and obtains the Pareto optimal solutions, from which the user can select the most suitable solutions according to the preferences and relative importance of the objective functions. Simulation results are used to verify the proposed method.

To achieve economical compensation for the huge-capacity negative sequence currents generated by high-speed railway load, an electromagnetic hybrid compensation system (EHCS) and control strategy is proposed. The EHCS is made up of a small-capacity railway static power conditioner (RPC) and a large-capacity magnetic static var compensator (MSVC). Compared with traditional compensation methods, the EHCS makes full use of the SVC’s advantages of economy and reliability and of RPC’s advantages of technical capability and flexibility. Based on the idea of injecting a negative sequence, the compensation principle of the EHCS is analyzed in detail. Then the minimum installation capacity of an EHCS is theoretically deduced. Furthermore, a constraint optimization compensation strategy that meets national standards, which reduces compensation capacity further, is proposed. An experimental platform based on a digital signal processor (DSP) and a programmable logic controller (PLC) is built to verify the analysis. Simulated and experimental results are given to demonstrate the effectiveness and feasibility of the proposed method.