Comparative portrayal of ocular surface microbe with and without dry eye

ZhenHao Li,Yufang Gong,ShuZe Chen,SiQi Li,Yu Zhang,HuiMin Zhong,ZhouCheng Wang,YiFan Chen,QiXin Deng,YuTing Jiang,LiYing Li,Min Fu,GuoGuo Yi 한국미생물학회 2019 The journal of microbiology Vol.57 No.11

To compare the ocular surface (OS) microbial communities and diversity between dry eye (DE) and non-DE (NDE). Furthermore, we compared meibomian gland dysfunction (MGD) and non-MGD (NMGD) among DE subjects. The V3-V4 region of 16S rRNA gene high-throughput sequencing was performed in the conjunctival swab samples to investigate the composition of the OS bacterial community in DE (n=35) and NDE (n=54) and compared the composition of MGD (n=25) and NMGD (n=10) among DE subjects. Deep sequencing of OS 16S rDNA from DE (n=35) and NDE (n=54) demonstrated great a difference in alpha and beta diversity between the OS bacterial flora (P < 0.05). The similar OS microbial structures were shown at the phylum and genus levels by bioinformatics analysis between them, and in LEfSe (linear discriminant analysis effect size) analysis, Bacteroidia and Bacteroidetes were enriched in DE, while Pseudomonas was plentiful in NDE (linear discriminant analysis [LDA] > 4.0). Among the DE group, there was no significant difference in α and β diversity between MGD and NMGD (P > 0.05). Surprisingly, Bacilli was the dominant microbe in MGD, and Bacteroidetes was the superior bacteria in NMGD among DE subjects (LDA > 4.0). Different diversity of OS bacteria composition between DE and NDE and the altered diversity of OS bacteria may play an important role in DE. Moreover, the lower dominance of OS bacteria in DE may be associated with the occurrence and development of DE. Although there was no significant difference in alpha and beta analysis, the OS dominant microbe between MGD and NMGD among DE was different.

NEW PRODUCT INTRODUCTION VIA SOCIAL MEDIA INFLUENCER

Zhenhao Li,Liping Liang 글로벌지식마케팅경영학회 2023 Global Marketing Conference Vol.2023 No.07

Firms are increasingly using social media influencers to promote their products. We develop a two-period model to investigate a firm’s strategy for introducing a product via an influencer, where there is uncertainty in the influencer-product match. In the second period, the influencer exerts an effort to promote the product to her followers, who can spread the product information to non-followers via word-of-mouth (WOM). In the second period, the firm sells to the non-followers. We show that the firm’s pricing, production, and commission contract decisions depend on the influencer’s incentive-independent excess payoff from the promotion and on the difference between the WOM effect of followers who do or do not make a purchase rather than the WOM effect of each group. As the influencer’s incentive-independent payoff increase, the firm will increase (decrease) commissison rate and commission rate when the followers’ sensitivity to product price is relatively low (high) compared with that to the influencer’s effort. As the marginal WOM benefit of the first-period sales increases, the firm tends to reduce his unit net profit from sales. The influencer with a medium-sized follower base receives the highest commission rate and exerts the largest promotion effort. While the followers of influencers with a medium-sized follower base may pay the highest price. We also show that (i) there exists a threshold for the probability of match, above which the firm faces zero demand in the first period if an influencer-product mismatch occurs; and (ii) the firm may charge followers a lower price than non-followers, even though followers are less sensitive to price than non-followers. Finally, regarding influencer selection, we find that the firm may not be better off employing an influencer with a larger follower base.

The characteristic of the synonymous codon usage and phylogenetic analysis of hepatitis B virus

Xiaoming Qi,Chaojun Wei,Yonghong Li,Yu Wu,Hui Xu,Rui Guo,Yanjuan Jia,Zhenhao Li,Zhenhong Wei,Wanxia Wang,Jing Jia,Yuanting Li,Anqi Wang,Xiaoling Gao 한국유전학회 2020 Genes & Genomics Vol.42 No.7

Background Hepatitis B virus (HBV) infection is a crucial medical issue worldwide. The dependence of HBV replication on host cell machineries and their co-evolutionary interactions prompt the codon usage pattern of viral genes to translation selection and mutation pressure. Objective The evolutionary characteristics of HBV and the natural selection effects of the human genome on the codon usage characteristics were analyzed to provide a basis for medication development for HBV infection. Methods The codon usage pattern of sequences from different HBV genotypes of our isolates and reference HBV genome sequences downloaded from the National Center for Biotechnology Information (NCBI) database were analyzed by computing the relative synonymous codon usage (RSCU), nucleotide content, codon adaptation index (CAI) and the effective number of codons (ENC). Results The highest ENC values were observed in the C genotypes, followed by the B genotypes. The ENC values indicated a weak codon usage bias (CUB) in HBV genome. The number of codons differentially used between the three genotypes was markedly higher than that of similarly used codons. High CAI values indicated a good adaptability of HBV to its host. The ENC plot indicated the occurrence of mutational pressure in the three genotypes. The mean Ka/Ks ratios in the three genotypes were lower than 1, which indicated a negative selection pressure. The CAI and GC3% plot indicated the existence of CUB in the HBV genome. Conclusions Nucleotide composition, mutation bias, negative selection and mutational pressure are key factors influencing the CUB and phylogenetic diversity in HBV genotypes. The data provided here could be useful for developing drugs for HBV infection.

Parameter Optimization for the Thickness and Hydraulic Conductivity of Tunnel Lining and Grouting Rings

Zhenhao Xu,Xintong Wang,Shucai Li,Bin Gao,Shaoshuai Shi,Xinji Xu 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.6

Water inrush is a serious geological hazard in the deep buried tunnel construction in karst areas. Lining and grouting ring are often built to prevent tunnel from water inrush. The estimation of external water pressure and water inflow is of great significance to the structure design of lining and grouting ring. In this paper, the axisymmetric analytic solutions of external water pressure and water inflow were derived for deep karst tunnels under saturated steady-state flow conditions. A simplified formula for the reduction coefficient of external water pressure was established. This paper analyzed the changing rule of water inflow coefficient and the reduction coefficient of external hydraulic pressure on linings, which varies with the parameters of lining and grouting circle. The rational and available coefficients of grouting circle in karst deep buried tunnel construction are drawn: the grouting ring thickness is 6 m and the hydraulic conductivity ratio of surrounding rock and lining is 100. In addition, the accuracy of the simplified formula was verified by the comparison of analytical solution and numerical analysis. This study provides a reliable calculation method for water inflow and lining water pressure of the deep buried tunnel and have certain reference value for the structural design of deep buried tunnel to reduce water inflow and ensure construction safety.

Detection of LSB Matching Revisited Using Pixel Difference Feature

( Wenxiang Li ),( Tao Zhang ),( Zhenhao Zhu ),( Yan Zhang ),( Xin Ping ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.10

This paper presents a detection method for least significant bit matching revisited (LSBMR) steganography. Previous research shows that the adjacent pixels of natural images are highly correlated and the value 0 appears most frequently in pixel difference. Considering that the message embedding process of LSBMR steganography has a weighted-smoothing effect on the distribution of pixel difference, the frequency of the occurrence of value 0 in pixel difference changes most significantly whereas other values approximately remain unchanged during message embedding. By analyzing the effect of LSBMR steganography on pixel difference distribution, an equation is deduced to estimate the frequency of difference value 0 using the frequencies of difference values 1 and 2. The sum of the ratio of the estimated value to the actual value as well as the ratio of the frequency of difference value 1 to difference value 0 is used as the steganalytic detector. Experimental results show that the proposed method can effectively detect LSBMR steganography and can outperform previous proposed methods.

Collapse risk evaluation method on Bayesian network prediction model and engineering application

WANG, Jing,LI, Shucai,LI, Liping,SHI, Shaoshuai,XU, Zhenhao,LIN, Peng Techno-Press 2017 Advances in computational design Vol.2 No.2

Collapse was one of the typical common geological hazards during the construction of tunnels. The risk assessment of collapse was an effective way to ensure the safety of tunnels. We established a prediction model of collapse based on Bayesian Network. 76 large or medium collapses in China were analyzed. The variable set and range of the model were determined according to the statistics. A collapse prediction software was developed and its veracity was also evaluated. At last the software was used to predict tunnel collapses. It effectively evaded the disaster. Establishing the platform can be subsequent perfect. The platform can also be applied to the risk assessment of other tunnel engineering.

MiRNA320a Inhibitor-Loaded PLGA-PLL-PEG Nanoparticles Contribute to Bone Regeneration in Trauma-Induced Osteonecrosis Model of the Femoral Head

Zhang Ying,Li Chuan,Wei Qiushi,Yuan Qiang,He Wei,Zhang Ning,Dong Yiping,Jing Zhenhao,Zhang Leilei,Wang Haibin,Cao Xiangyang 한국조직공학과 재생의학회 2024 조직공학과 재생의학 Vol.21 No.1

BACKGROUND: This study aimed to explore the effect of a nanomaterial-based miR-320a inhibitor sustained release system in trauma-induced osteonecrosis of the femoral head (TIONFH). METHODS: The miR-320a inhibitor-loaded polyethylene glycol (PEG)- Poly(lactic-co-glycolic acid) (PLGA)- Poly-L-lysine (PLL) nanoparticles were constructed using the double emulsion method. The TIONFH rabbit model was established to observe the effects of miR-320a inhibitor nanoparticles in vivo. Hematoxylin–eosin staining and microcomputed tomography scanning were used for bone morphology analysis. Bone marrow mesenchymal stem cells (BMSCs), derived from TIONFH rabbits, were used for in vitro experiments. Cell viability was determined using the MTT assay. RESULTS: High expression of miR-320a inhibited the osteogenic differentiation capacity of BMSCs in vitro by inhibiting the expression of the osteoblastic differentiation markers ALP and RUNX2. MiR-320a inhibitor-loaded PEG-PLGA-PLL nanoparticles were constructed with a mean loading efficiency of 1.414 ± 0.160%, and a mean encapsulation efficiency of 93.45 ± 1.24%, which released 50% of the loaded miR-320a inhibitor at day 12 and 80% on day 18. Then, inhibitor release entered the plateau. After treatment with the miR-320a inhibitor nanoparticle, the empty lacunae were decreased in the femoral head tissue of TIONFH rabbits, and the osteoblast surface/bone surface (Ob.S/BS), osteoblast number/bone perimeter (Ob.N/B.Pm), bone volume fraction, and bone mineral density increased. Additionally, the expression of osteogenic markers RUNX2 and ALP was significantly elevated in the TIONFH rabbit model. CONCLUSION: The miR-320a inhibitor-loaded PEG-PLGA-PLL nanoparticle sustained drug release system significantly contributed to bone regeneration in the TIONFH rabbit model, which might be a promising strategy for the treatment of TIONFH. BACKGROUND: This study aimed to explore the effect of a nanomaterial-based miR-320a inhibitor sustained release system in trauma-induced osteonecrosis of the femoral head (TIONFH). METHODS: The miR-320a inhibitor-loaded polyethylene glycol (PEG)- Poly(lactic-co-glycolic acid) (PLGA)- Poly-L-lysine (PLL) nanoparticles were constructed using the double emulsion method. The TIONFH rabbit model was established to observe the effects of miR-320a inhibitor nanoparticles in vivo. Hematoxylin–eosin staining and microcomputed tomography scanning were used for bone morphology analysis. Bone marrow mesenchymal stem cells (BMSCs), derived from TIONFH rabbits, were used for in vitro experiments. Cell viability was determined using the MTT assay. RESULTS: High expression of miR-320a inhibited the osteogenic differentiation capacity of BMSCs in vitro by inhibiting the expression of the osteoblastic differentiation markers ALP and RUNX2. MiR-320a inhibitor-loaded PEG-PLGA-PLL nanoparticles were constructed with a mean loading efficiency of 1.414 ± 0.160%, and a mean encapsulation efficiency of 93.45 ± 1.24%, which released 50% of the loaded miR-320a inhibitor at day 12 and 80% on day 18. Then, inhibitor release entered the plateau. After treatment with the miR-320a inhibitor nanoparticle, the empty lacunae were decreased in the femoral head tissue of TIONFH rabbits, and the osteoblast surface/bone surface (Ob.S/BS), osteoblast number/bone perimeter (Ob.N/B.Pm), bone volume fraction, and bone mineral density increased. Additionally, the expression of osteogenic markers RUNX2 and ALP was significantly elevated in the TIONFH rabbit model. CONCLUSION: The miR-320a inhibitor-loaded PEG-PLGA-PLL nanoparticle sustained drug release system significantly contributed to bone regeneration in the TIONFH rabbit model, which might be a promising strategy for the treatment of TIONFH.

Grouting effects evaluation of water-rich faults and its engineering application in Qingdao Jiaozhou Bay Subsea Tunnel, China

Zhang, Jian,Li, Shucai,Li, Liping,Zhang, Qianqing,Xu, Zhenhao,Wu, Jing,He, Peng Techno-Press 2017 Geomechanics & engineering Vol.12 No.1

In order to evaluate the grouting effects of water-rich fault in tunnels systematically, a feasible and scientific method is introduced based on the extension theory. First, eight main influencing factors are chosen as evaluation indexes by analyzing the changes of permeability, mechanical properties and deformation of surrounding rocks. The model of evaluating grouting effects based on the extension theory is established following this. According to four quality grades of grouting effects, normalization of evaluation indexes is carried out, aiming to meet the requirement of extension theory on data format. The index weight is allocated by adopting the entropy method. Finally, the model is applied to the grouting effects evaluation in water-rich fault F4-4 of Qingdao Jiaozhou Bay Subsea Tunnel, China. The evaluation results are in good agreement with the test results on the site, which shows that the evaluation model is feasible in this field, providing a powerful tool for systematically evaluating the grouting effects of water-rich fault in tunnels.

Estimation of Extreme Value Vehicle Load Based on the Extended Burr XII Distribution

Yang Liu,Deru Li,Yingqiu Li,Zhenhao Zhang 대한토목학회 2018 KSCE Journal of Civil Engineering Vol.22 No.9

Traffic monitoring, and particularly maximum vehicle load, is a very important for predicting the remaining service time of either long span or short-to-medium span bridges. Using weigh in motion (WIM) data from the Nanxi Yangtze river bridge, a novel maximum load estimation model of vehicle load was constructed. The novel model is based on the extended Burr XII (EBurr) distribution, which includes the Weibull, generalized Pareto (GPD) and log-logistic distributions. Thus, the traditional GPD model is a special form of the proposed novel model. The correlation of vehicle load is extracted using a peak over threshold method, and a Markov chain Monte Carlo Bayesian method is applied to estimate the parameters. The proposed novel model is compared with other traditional models. The 95th percentile of the load distribution is considered as the evaluation point for overloaded trucks. In addition, vehicle loads collected on highway station are used to verify the novel model’s applicability. The results show: The EBurr distribution is more suitable to capture sparse extreme points than other traditional distributions according to the value of SSE closely to 0 and R2 closely to 1. When the assessment reference period T changes from 100 to 30 years, the deceased ration of the evaluation load weight is 15.17% of EBurr and 10% of GPD of the Nanxi Yangtze river bridge, where it is 12.17% of EBurr and 0.84% of GPD of the bridge near La linhe highway station. The deceased ration of the evaluation load weight using EBurr is larger than that using GPD. Moreover, the deceased ration of the evaluation load weight using GPD in La linhe highway station has a little change. Hence, using EBurr distribution to model the evaluation load is more correspond to fact.

Assessing containment properties of underground oil storage caverns: methods and a case study

Liping Qiao,Zhechao Wang,Shucai Li,Liping Bi,Zhenhao Xu 한국지질과학협의회 2017 Geosciences Journal Vol.21 No.4

One of the most important issues in the construction of underground water-sealed oil storage caverns is the assessment of their containment properties. These properties depend on the hydrogeological condition and also engineering characteristics of the caverns. Conceptual hydrogeological model for assessing the containment properties of underground water-sealed oil storage caverns was developed. Empirical, numerical and experimental methods for assessing the containment properties were summarized. A principle for the selection of assessment methods was proposed for engineering application. It was proposed that the selected assessment method should be appropriate for the investigation stages, the research objectives and the parameters which have been determined. A five-stage flowchart for the assessment of containment properties of underground water-sealed oil storage caverns was developed. The set of assessment methods was applied to a pilot underground water-sealed oil storage facility in China. Empirical methods, fracture network method and field test methods were presented for the assessment of the containment properties of the cavern, while the other methods were introduced in previous studies.