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In this study, a novel strain with high Na2SeO3 reducing ability was screened from marine strains, providing a new reduction system for the biosynthesis of Se nanoparticles (SeNPs). Firstly, 41 marine strains from Arctic Ocean sediments were screened, and a strain with high selenium-tolerant was obtained and species identified. Subsequently, the screened marine strain was used for the biosynthesis SeNPs and the SeNPs were characterized using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), X-ray diffraction (XRD) and particle size analysis. Furthermore, the antibacterial activities of SeNPs were also determined. The results showed that strain 72 had the strongest tolerance to Na2SeO3, which could grow in the presence of 300 mmol/L Na2SeO3 and reducing it to brick red SeNPs. Subsequently, strain 72 was identified and named as Bacillus sp. Q72. The SeNPs biosynthesized by this strain were spherical particles with an average size of 169.3 nm and a potential of −48.1±0.5 mV. There were amino and hydroxyl groups on their surface. The SeNPs produced by Bacillus sp. Q72 showed better inhibitory activity against E. coli. When the concentration of SeNPs was 200 μg/mL, the inhibitory rate against E. coli reached 92.1%.

In order to promote the scientific standardization of Tai-chi-chuan teaching and training, a Tai-chi-chuan auxiliary training system based on Kinect motion capture technology and extraction of the angle feature and speed feature is proposed and designed. The dynamic time planning algorithm (DTW) sampling corresponding frame is applied to replace the traditional method of sampling the key frame. The auxiliary training system consists of learning module, action acquisition module and action scoring module. Learning module with stan-dard action teaching video, to meet the requirements of students learning; action acquisition module uses Microsoft developed Kinect equipment to realize data acquisition of the spatial coordinates of the human skeleton in Tai-chi-chuan action, and through filtered noise reduction and the occlusion point data processing the skeleton data is saved. The scoring module constructs the test sequence based on the 16 angle features of eight key joint nodes and the instantaneous velocity characteristics of 20 joint nodes. By comparing with the standard sequence in real time, the original scoring rules is used to achieve the scoring function, which provides students with intuitive and reliable training recommendations, so as to improve the efficiency of learning. By increasing the number of sensors, further designing and optimizing data fusion and filtering algorithm, combining with Microsoft’s Kinect2.0 version, the system can also be applied to medical rehabilitation, physical training analysis and evaluation, virtual reality and human-computer interaction, etc.

Objective To identify the pathogenic variants in 110 patients with essential tremor (ET). Methods Clinical data and peripheral blood samples of ET patients were collected from the Department of Neurology of Peking Union Medical College Hospital and then the genomic DNA was extracted. Dynamic mutation detection of NOTCH2NLC was performed in patients with essential tremor by triplet repeat primed PCR(TP-PCR). Since ET is associated with multiple mechanisms of neuro-degeneration, the next generation sequencing (NGS) panel targeting neurodegenerative associating genes were performed to check pathogenic variants in additional genes. Results A total of 110 ET patients and 187 matched control individuals were recruited. The age of onset in the current ET group was (36.30±17.64)years, and 74.8% patients had a family history. No abnormal trinucleotide repeat expansion in NOTCH2NLC was identified. The repeat number of (GGC)n lied within normal ranges between 10-47 (average 18.6±5.4). Variants burden analysis showed association of ET with PLA2G6. Three rare variants in four patients in PLA2G6 were identified with unknown significance. Conclusions Dynamic mutations of NOTCH2NLC are uncommon in ET patients and that suggests need of more researches for further exploring the genetic mechanism of ET.

Background Thrombotic events are a major complication of hypertrophic cardiomyopathy (HCM). There are only two available risk prediction models for thrombotic events, HCM Risk-CVA score and French HCM score developed by foreign scholars, yet the former one has been found to have limited predictive value in Chinese HCM patients. Objective To develop a risk prediction model for thrombotic events in Chinese patients with HCM. Methods A retrospective cohort study design was used. Five hundred and thirty-seven HCM patients who admitted to West China Hospital of Sichuan University from 2010 to 2018 were recruited. Post-discharge health status was collected by use of telephone follow-up or checking the treatment status recorded in the electronic medical record system once every 6 to 12 months until a composite thrombotic event (defined as the endpoint event) or death occurred or the determined thrombotic risk assessment day of this study (2019-12-31). Univariate and multvariate Cox regression analyses were applied to build a thrombotic risk prediction model, and its internal validation was tested in a resample using the bootstrapping technique. Results Due to data missing, 24 cases were excluded, and the other 513 cases were finally included. During a median follow-up of 4.2 years (IQR: 1.3-6.2 years), thrombotic events occurred in 42 cases (8.18%), with an annual morbidity rate of 2.10%〔95%CI (1.47%, 2.73%) 〕. By multivariate Cox regression analysis, age, prior thrombotic event and left ventricular ejection fraction (LVEF) were identified (P