Dynamic Warning Method for Structural Health Monitoring Data Based on ARIMA: Case Study of Hong Kong-Zhuhai-Macao Bridge Immersed Tunnel.

Structural health monitoring (SHM) is gradually replacing traditional manual detection and is becoming a focus of the research devoted to the operation and maintenance of tunnel structures. However, in the face of massive SHM data, the autonomous early warning method is still required to further reduce the burden of manual analysis. Thus, this study proposed a dynamic warning method for SHM data based on ARIMA and applied it to the concrete strain data of the Hong Kong-Zhuhai-Macao Bridge (HZMB) immersed tunnel. First, wavelet threshold denoising was applied to filter noise from the SHM data. Then, the feasibility and accuracy of establishing an ARIMA model were verified, and it was adopted to predict future time series of SHM data. After that, an anomaly detection scheme was proposed based on the dynamic model and dynamic threshold value, which set the confidence interval of detected anomalies based on the statistical characteristics of the historical series. Finally, a hierarchical warning system was defined to classify anomalies according to their detection threshold and enable hierarchical treatments. The illustrative example of the HZMB immersed tunnel verified that a three-level (5.5 σ, 6.5 σ, and 7.5 σ) dynamic warning schematic can give good results of anomalies detection and greatly improves the efficiency of SHM data management of the tunnel.

Proposal for probing energy transfer pathway by single-molecule pump-dump experiment.

The structure of Fenna-Matthews-Olson (FMO) light-harvesting complex had long been recognized as containing seven bacteriochlorophyll (BChl) molecules. Recently, an additional BChl molecule was discovered in the crystal structure of the FMO complex, which may serve as a link between baseplate and the remaining seven molecules. Here, we investigate excitation energy transfer (EET) process by simulating single-molecule pump-dump experiment in the eight-molecules complex. We adopt the coherent modified Redfield theory and non-Markovian quantum jump method to simulate EET dynamics. This scheme provides a practical approach of detecting the realistic EET pathway in BChl complexes with currently available experimental technology. And it may assist optimizing design of artificial light-harvesting devices.

[Post-marketing clinical safety assessment of Shenmai injection based on active monitoring and passive monitoring in large data background].

This paper adopted a series of related analysis methods to comprehensively analyze post-marketing clinical safety data of Shenmai injection from 4,220 cases of SRS and 32,358 cases of multicenter, prospective, registered hospital centralized monitoring in large data background, calculated ADR incidence rate was 0.93 per 1,000, main symptoms of ADR includes chest pain, chills, skin itching, palpitations, fever, nausea, dizziness, vomiting, flushing, numbness, allergic reaction, cyanosis, rash, low back pain, and "breath", "anaphylactoid reaction" and "flush" were the safety warning signals of Shenmai injection. Primary disease for chronic pulmonary heart disease, thyroid disease, and combined with cerebral vascular disease, prior to the injection and continuous use of alprostadil, cyclic adenosine monophosphate, combined with quinolones, penicillins were suspicious influence factors of ADR of Shenmai injection, these promot the clinical safety.

Rehabilitation assessment for lower limb disability based on multi-disciplinary approaches.

Low limb rehabilitation training is recognized as a very effective technique to facilitate body recovery. To make rehabilitation more efficient, we need to monitor the whole progress and detect how well the patient improves. The physician could make an optimal treatment plan according to the patient's improvement only when the patient's condition is correctly evaluated. Also, it is essential to provide a rehabilitation assessment system which would enable more accurate tracking of patient's status and minimize the requirement of time-consuming manual evaluations conducted by skilled person. Traditionally, clinical rehabilitation assessment is performed manually, which is not only coarse but also time-consuming. In this paper, we propose an objective, quantitative and manual-independent assessment system for lower extremity rehabilitation. Four predictive variables, i.e. rang of motion (ROM), movement smoothness, trajectory error, and improved L-Z complexity of electromyographic signal (EMG), are explored besides conventional clinical assessment scales. A cost-effective and wearable human-independent device which mainly consists of two sensors (MPU6050 and HMC5883L), is developed to measure the ROM, movement smoothness and trajectory error. What's more, a 3D leg model is employed to visualize the leg motion in real-time on PC screen to increase the entertainment. Those physical quantities are more sensitive at the early stage of rehabilitation. And when the basic body function is recovered, the subtle rehabilitation improvement can only be detected by the intrinsic EMG signal. Therefore an improved L-Z complexity of EMG is applied to combine with physical assessment metrics. Compared with traditional L-Z complexity, the improved one proposed in this paper could reflect more precisely the underlying property of EMG signal. The future work is to integrate all the evaluation metrics, thus we introduce a BP network to quantize a final assessment outcome.

Laparoendoscopic single-site urethrovesical anastomosis training in an economical porcine model.

PURPOSE: To develop an economical animal model for laparoendoscopic single-site surgery (LESS) urethrovesical anastomosis (UVA) training. MATERIALS AND METHODS: A homemade single-port device was used and the uterus cervix and the ileum were chosen to simulate UVA to reduce costs. Ten trainees were randomly divided into two groups: the conventional LESS UVA (CLUVA) group and the transurethral assistant LESS UVA (TALUVA) group. In TALUVA, a laparoscopic forceps was inserted through the urethra to assist operation after the bladder neck was disconnected, whereas CLUVA followed the conventional steps. Anastomosis time and knotting time were recorded, and the learning curves of both groups were analyzed. After training, questionnaires were given to the trainees to assess the difficulties and the satisfaction of the training. RESULTS: The final mean operating time significantly declined in both groups. Except for the first lesson, the trainees in the TALUVA group operated faster than those in the other group. The results from the questionnaires show that all trainees were satisfied with the training, and LESS UVA was considered more difficult in the CLUVA group than in the TALUVA group. CONCLUSIONS: The female porcine model for LESS UVA was feasible and cost-effective. TALVUA could effectively reduce the difficulties involved in LESS UVA.