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Abstract: A real-time ECG signal acquisition system with the DSP chip TMS320VC5509A as its core is introduced in this paper. It introduces the design of ECG signal acquisition circuit in detail. ECG signal is analog filtered and amplified and then converted from analog to digital field. Finally, it is displayed in the LCD after digital low-pass filtering in DSP. The collected ECG data can truly reflect the condition of human heart''s health. The system has advantages of small volume, little power consumption, low cost and real-time processing [Copyright &y& Elsevier]

[Display omitted] • Stochasticity predominated bacterial assembly during the whole study period. • Overall networks became closer and more complex at the middle and end stages. • Rare species presented a high diversity across five networks. • Negative interactions between AnAOB and heterotrophs could keep functional stability. • Chloroflexi and Proteobacteria alternately play important roles in networks. Understanding the relationship between dynamic microbial networks and functional stability is critical for the stable operation of anammox systems. Here, by operating an anammox reactor under constant condition over 250 days, it was found that the relative abundance of Planctomycetota gradually decreased while Chloroflexi and Proteobacteria increased, with stochasticity predominating the bacterial assembly as the reactor operation. Network analysis revealed a successional dynamic pattern of microbial interaction despite stable performance. The variation of subnetworks indicated Chloroflexi and Proteobacteria alternately played important role in anammox microbial network, and the negative relationship between anammox bacteria and heterotrophs could achieve a balance to keep functional stability under long-term operation. Furthermore, the identified keystone species mainly belonged to heterotrophs that were critical in maintaining network structure and system function. The results of this study revealed clear changing patterns of microbial community and network succession, which could provide valuable reference for other stably operated bioreactors. [ABSTRACT FROM AUTHOR]

With the rapid growth of China's economy, applied research on hydropower engineering has received an increasing amount of attention. However, since hydraulic electromechanical devices often work in actual industrial manufacturing environments at high loads for a long time, their health status is hardly predicted. By introducing digital twins technique, this paper proposed a predictive maintenance model for electromechanical devices to solve the problems. Firstly, multiple sensors are implemented on critical parts of the hydraulic electromechanical devices to collect devices' physical and spatial signals. Secondly, constructing the digital twins model of electromechanical devices with the sensing data and the devices' structural characteristics. Finally, by transfer learning, a comprehensive and reliable fault diagnosis method is designed to predict the remaining life of the devices and make decisions for facilities maintenance. Experiments show that the proposed model performs the best accuracy rate compared with the other methods. [Display omitted] • Use edge devices to integrate heterogeneous data in smart water conservancy. • Build four kinds of models with digital twins for qualitative analysis. • Train neural networks with digital twins' real-time data to make fault diagnoses. • Make safety assessment criteria for smart water devices with diagnosis results. [ABSTRACT FROM AUTHOR]

Background/objectives There is currently no licensed prophylactic or therapeutic vaccine for HSV-2 infection. Methods We developed a novel preclinical vaccine candidate, G103, consisting of three recombinantly expressed HSV-2 proteins (gD and the UL19 and UL25 gene products) adjuvanted with the potent synthetic TLR4 agonist glucopyranosyl lipid A (GLA) formulated in stable emulsion. The vaccine was tested for immunogenicity and efficacy in pre-clinical models for preventative and therapeutic vaccination. Results Vaccination of mice with G103 elicited antigen-specific binding and neutralizing antibody responses, as well as robust CD4 and CD8 effector and memory T cells. The T cell responses were further boosted by subsequent challenge with live virus. Prophylactic immunization completely protected against lethal intravaginal HSV-2 infection in mice, with only transient replication of virus in the genital mucosa and sterilizing immunity in dorsal root ganglia. Supporting the use of G103 therapeutically, the vaccine expanded both CD4 and CD8 T cells induced in mice by previous infection with HSV-2. In the guinea pig model of recurrent HSV-2 infection, therapeutic immunization with G103 was approximately 50% effective in reducing the number of lesions per animal as well as the overall lesions score. Conclusions Taken together, the data show that G103 is a viable candidate for development of a novel prophylactic and therapeutic HSV-2 vaccine. [ABSTRACT FROM AUTHOR]