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Many elements of a modern lifestyle influence the gut microbiota but few studies have explored the effect of physical health level. This study was aimed to explore the relationship between diet, physical health and gut microbiota in Chinese college students. A total of 69 college students were recruited, including 27 college athletes (AS group) and 42 healthy controls (HC group). Fecal samples were collected for 16S rRNA sequencing. According to National Standards for Students’ Physical Health (2014 revision), physical fitness measurements, dietary intake and health-related data were collected via questionnaires. ①According to the physical fitness scores, the physical fitness level of AS group was significantly higher than that of HC group (P < 0.05), there were no significant differences between the two groups in the frequency of intake of food. The frequency and duration of physical activity in the AS group were higher than those in the HC group (P < 0.05); ②The proportion and relative abundances of microorganism composition is varying at two groups: on the phylum level, AS group had mainly increased Firmicutes, Actinobacteria and reduced Bacteroidetes, Proteobacteria; on the genus level, AS group had mainly increased Faecalibacterium, Bifidobacterium and reduced Bacteroides; ③The associations with the 10 most abundant bacterial genera and physical fitness, dietary factors were investigated. Changes in the gut microbiota abundance can be sometimes reflective of a physical health status. Loss of the balance of gut microbial populations will lead to flora disorders and diseases. Therefore, further studies are needed to reveal the mechanisms behind the gut microbiota in its potential role. [ABSTRACT FROM AUTHOR]

To explore the value, and influencing factors, of D-dimer on the prognosis of patients with COVID-19. A total of 1,114 patients with confirmed COVID-19 who were admitted to three designated COVID-19 hospitals in Wuhan, China from January 18, 2020, to March 24, 2020, were included in this study. We examined the relationship between peripheral blood levels of D-dimer, and clinical classification and prognosis, as well as its related influencing factors. D-dimer levels were found to be related to the clinical classification and the prognosis of clinical outcome. D-dimer levels were more likely to be abnormal in severely and critically ill patients compared with mild and ordinary cases, while D-dimer levels of patients who had died were significantly higher than those of surviving patients according to the results of the first and last lab tests. The results from ROC analyses for mortality risk showed that the AUCs of D-dimer were 0.909, YI was 0.765 at the last lab test, and a D-dimer value of 2.025 mg/L was regarded to be the optimal probability cutoff for a prognosis of death. In addition, we found that patients with advanced age, male gender, dyspnea symptoms, and some underlying diseases have a higher D-dimer value (p < 0.05). In short, D-dimer is related to the clinical classification and can be used to evaluate the prognosis of COVID-19 patients. The D-dimer value of 2.025 mg/L was the optimal probability cutoff for judging an outcome of death. Advanced age, male gender, dyspnea symptoms, and some underlying diseases are influencing factors for D-dimer levels, which impacts the prognosis of patients. [ABSTRACT FROM AUTHOR]

A nonlinear time-varying dynamic model for a multistage planetary gear train, considering time-varying meshing stiffness, nonlinear error excitation, and piece-wise backlash nonlinearities, is formulated. Varying dynamic motions are obtained by solving the dimensionless equations of motion in general coordinates by using the varying-step Gill numerical integration method. The influences of damping coefficient, excitation frequency, and backlash on bifurcation and chaos properties of the system are analyzed through dynamic bifurcation diagram, time history, phase trajectory, Poincaré map, and power spectrum. It shows that the multi-stage planetary gear train system has various inner nonlinear dynamic behaviors because of the coupling of gear backlash and time-varying meshing stiffness. As the damping coefficient increases, the dynamic behavior of the system transits to an increasingly stable periodic motion, which demonstrates that a higher damping coefficient can suppress a nonperiodic motion and thereby improve its dynamic response. The motion state of the system changes into chaos in different ways of period doubling bifurcation, and Hopf bifurcation. [ABSTRACT FROM AUTHOR]

Avian infectious bronchitis virus (AIBV) is classified as a member of the genus coronavirus in the family coronaviridae. The enveloped virus has a positive-sense, single-stranded RNA genome of approximately 28 kilo-bases, which has a 5' cap structure and 3' polyadenylation tract. The complete genome sequence of infectious bronchitis virus (IBV), Beijing isolate, was determined by cloning sequencing and primer walking. The whole genome is 27733 nucleotides in length, has ten open reading frames: 5'-orf1a-orf1ab-s-3a3b-e-m- 6a-6b-n-3'. Alignments of the genome sequence of IBV Beijing isolate with those of two AIBV strains and one SARS coronavirus were performed respectively. The genome sequence of IBV Bering isolate compared with that of the IBV strain LX4 (uncompleted, 19440 bp in size) was 91.2% similarity. However, the full-length genome sequence of IBV Beijing isolate was 85.2% identity to that of IBV Strain Beaudette, and was only 50.8% homology to that of SARS coronavirus. The results showed that the genome of IBV has remarkable variation. And IBV Beijing isolate is not closely related to SARS coronavirus. Phylogenetic analyses based on the whole genome sequence, S protein, M protein and N protein, also showed that AIBV Beijing isolate is lone virus in group III and is distant from SARS coronavirus. In conclusion, this study will contribute to the studies of diagnosis and diseases control on IBV in China. [ABSTRACT FROM AUTHOR]