Helicase-dependent amplification (HDA) is an isothermal in vitro DNA amplification method based upon the coordinated actions of helicases to separate doublestranded DNA and DNA polymerases to synthesize DNA. Previously, a mesophilic form of HDA (mHDA) utilizing the Escherichia coli UvrD helicase, DNA polymerase I Klenow fragment, two accessory proteins, MutL and single-stranded DNA-binding protein (SSB), was developed (1). In an effort to improve the specificity and performance of HDA, we have cloned and purified a thermostable UvrD helicase (Tte-UvrD) and the mutL homolog (Tte-MutL) from Thermoanaerobacter tengcongensis. Characterization of the Tte-UvrD helicase shows that it is stable and active from 45 to 65°C. We have found that the Tte-UvrD helicase unwinds blunt-ended DNA duplexes as well as substrates possessing 3-or 5-ssDNA tails.Tte-UvrDwasusedtodevelopathermophilichelicasedependent amplification (tHDA) system to selectively amplify target sequences at 60 -65°C. The tHDA system is more efficient than mHDA, displaying heightened amplification sensitivity without the need for the MutL and SSB accessory proteins. Amplification independent of MutL corresponds with studies demonstrating that maximal Tte-UvrD helicase activity does not require the mutL homolog. The tHDA system allows for rapid amplification and detection of targets present in genomic DNA. The expeditious nature and simplistic design of the tHDA platform makes the technology ideal for use in diagnostic applications requiring rapid identification of organisms at the point-of-need.

In a DC microgrid (DC-MG), the dc bus voltage is vulnerable to power fluctuation derived from the intermittent distributed energy or local loads variation. In this paper, a virtual inertia control strategy for DC-MG through bidirectional grid-connected converters (BGCs) analogized with virtual synchronous machine (VSM) is proposed to enhance the inertia of the DC-MG, and to restrain the dc bus voltage fluctuation. The small-signal model of the BGC system is established, and the smallsignal transfer function between the dc bus voltage and the dc output current of the BGC is deduced. The dynamic characteristic of the dc bus voltage with power fluctuation in the DC-MG is analyzed in detail. As a result, the dc output current of the BGC is equivalent to a disturbance, which affects the dynamic response of the dc bus voltage. For this reason, a dc output current feed-forward disturbance suppressing method for the BGC is introduced to smooth the dynamic response of the dc bus voltage. By analyzing the control system stability, the appropriate virtual inertia control parameters are selected. Finally, simulations and experiments verified the validity of the proposed control strategy.

We introduce a user-friendly steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system. Single-channel EEG is recorded using a low-noise dry electrode. Compared to traditional gel-based multi-sensor EEG systems, a dry sensor proves to be more convenient, comfortable and cost effective. A hardware system was built that displays four LED light panels flashing at different frequencies and synchronizes with EEG acquisition. The visual stimuli have been carefully designed such that potential risk to photosensitive people is minimized. We describe a novel stimulus-locked inter-trace correlation (SLIC) method for SSVEP classification using EEG time-locked to stimulus onsets. We studied how the performance of the algorithm is affected by different selection of parameters. Using the SLIC method, the average light detection rate is 75.8% with very low error rates (an 8.4% false positive rate and a 1.3% misclassification rate). Compared to a traditional frequency-domain-based method, the SLIC method is more robust (resulting in less annoyance to the users) and is also suitable for irregular stimulus patterns.

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