Phoenix Man, An Example of Stigmatization Phenomenon in the China Social Media

With the rapid transformation and development of contemporary Chinese network society, the phenomenon of stigmatization is becoming more and more common in social media communication. The theory about the social stratum and the mobility of society could give us a good theoretical explanation, it could help us understand why a group is stigmatized and excluded. The purpose of this article was to find out the formation mechanism of stigmatization with Phoenix man through literature review and qualitative analysis, linked this phenomenon to social mobility and anxiety of middle-class in China, and finally point out the existing deep-seated social inequality problems and hazards in China. Through the network search engine "Baidu" and literature review, get the network search index and some other social media information about Phoenix Man, found the process (initial, development and final) of stigmatization phenomenon of Phoenix Man, and made reasonable analysis. By compared Phoenix Man with the two groups, Zhuanjia and Gongzhi, it easily to find that Phoenix Man have always been highly concerned in Chinese social media. Finally, this study found that the stigmatization was originated from the anxiety caused by differences in cultural, customs and habits between middle-class and the lower-class. The stigmatization made the people who came from lower class groups been marginalized, also damaged social justice and harmony

End-of-treatment anti-HBs levels and HBeAg status identify durability of HBsAg loss after PEG-IFN discontinuation

BackgroundHepatitis B surface antigen (HBsAg) loss, namely, the functional cure, can be achieved through the pegylated interferon (PEG-IFN)-based therapy. However, it is an unignorable fact that a small proportion of patients who achieved functional cure develop HBsAg reversion (HRV) and the related factors are not well described.MethodsA total of 112 patients who achieved PEG-IFN-induced HBsAg loss were recruited. HBV biomarkers and biochemical parameters were examined dynamically. HBV RNA levels were assessed in the cross-sectional analysis. The primary endpoint was HRV, defined as the reappearance of HBsAg after PEG-IFN discontinuation.ResultsHRV occurred in 17 patients during the follow-up period. Univariable analysis indicated that hepatitis B e antigen (HBeAg) status, different levels of hepatitis B surface antibody (anti-HBs), and hepatitis B core antibody (anti-HBc) at the end of PEG-IFN treatment (EOT) were significantly associated with the incidence of HRV through using the log-rank test. Additionally, time-dependent receiver operating characteristic (ROC) analysis showed that the anti-HBs was superior to anti-HBc in predictive power for the incidence of HRV during the follow-up period. Multivariable Cox proportional hazard analysis found that anti-HBs ≥1.3 log10IU/L (hazard ratio (HR), 0.148; 95% confidence interval (CI), 0.044-0.502) and HBeAg negativity (HR, 0.183; 95% CI, 0.052-0.639) at EOT were independently associated with lower incidence of HRV. Cross-sectional analysis indicated that the HBV RNA levels were significantly correlated with the HBsAg levels in patients with HRV (r=0.86, p=0.003).ConclusionsEOT HBeAg negativity and anti-HBs ≥1.3 log10IU/L identify the low risk of HRV after PEG-IFN discontinuation

Global Analysis of DNA Methylation by Methyl-Capture Sequencing Reveals Epigenetic Control of Cisplatin Resistance in Ovarian Cancer Cell

Cisplatin resistance is one of the major reasons leading to the high death rate of ovarian cancer. Methyl-Capture sequencing (MethylCap-seq), which combines precipitation of methylated DNA by recombinant methyl-CpG binding domain of MBD2 protein with NGS, global and unbiased analysis of global DNA methylation patterns. We applied MethylCap-seq to analyze genome-wide DNA methylation profile of cisplatin sensitive ovarian cancer cell line A2780 and its isogenic derivative resistant line A2780CP. We obtained 21,763,035 raw reads for the drug resistant cell line A2780CP and 18,821,061reads for the sensitive cell line A2780. We identified 1224 hyper-methylated and 1216 hypomethylated DMRs (differentially methylated region) in A2780CP compared to A2780. Our MethylCap-seq data on this ovarian cancer cisplatin resistant model provided a good resource for the research community. We also found that A2780CP, compared to A2780, has lower observed to expected methylated CpG ratios, suggesting a lower global CpG methylation in A2780CP cells. Methylation specific PCR and bisulfite sequencing confirmed hypermethylation of PTK6, PRKCE and BCL2L1 in A2780 compared with A2780CP. Furthermore, treatment with the demethylation reagent 5-aza-dC in A2780 cells demethylated the promoters and restored the expression of PTK6, PRKCE and BCL2L1

Rediscovering climate gerontology: an era for older adults to contribute more to climate change

In the wake of escalating climate challenges, the role of diverse specific groups in climate action has gained unprecedented attention. Among these groups, older adults, often overlooked, present a unique potential in the realm of climate action. The concept of climate gerontology, first introduced by Haq and Gutman in 2014, encapsulates this intersection of gerontology and climate change. However, despite its initial proposal, the field has not fully developed its potential. This article aims to revisit and expand the concept of climate gerontology, arguing for a more active and recognized contribution of older people in climate-change initiatives

Influenced Zone of Deep Excavation and a Simplified Prediction Method for Adjacent Tunnel Displacement in Thick Soft Soil

Based on the statistics of 42 case histories, 732 finite element numerical simulations are conducted to determine the scope of the influenced zone of deep excavation under different conditions of excavation depth (He) and the maximum retaining wall deflection (δhm). On this basis, the effects of He and δhm on the scope of the influenced zone are studied, and a simplified prediction method for the scope of the influenced zone under any He and δhm conditions and the adjacent tunnel displacement is proposed. Then, the reliability of the proposed method is verified by comparing it with the current research and case histories. And finally, the proposed method is applied to an actual project, and the application effect is evaluated. The results show that the range outside the pit can be divided into “primary”, “secondary”, “general”, and “weak” influenced zones. The influenced zone can be simplified as a right-angled trapezoid shape, and the scope of influence zones can be quickly determined by defining three parameters: width coefficient M, depth coefficients N1 and N2. The parameters M and N2 have a linear relationship with He and δhm, and N1 varies between 1–2 with an average of about 1.5. In actual application, the effect of deep excavation on the adjacent tunnel can be alleviated by using the proposed method to predict the excavation-induced displacement of the adjacent tunnel and take some measures

Prediction of the Old-Age Dependency Ratio in Chinese Cities Using DMSP/OLS Nighttime Light Data

The old-age dependency ratio (ODR) is an important indicator reflecting the degree of a regional population’s aging. In the context of aging, this study provides a timely and effective method for predicting the ODR in Chinese cities. Using the provincial ODR from the Seventh National Population Census and Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime light data, this study aims to predict and analyze the spatial correlation of the municipal ODR in Chinese cities. First, the prediction model of the ODR was established with curve regression. Second, the spatial structure of the municipal ODR was investigated using the Moran’s I method. The experimental results show the following: (1) the correlation between the sum of the nighttime light and ODR is greater than the mean of nighttime light in the study areas; (2) the Sigmoid model fits better than other regression models using the provincial ODR in the past ten years; and (3) there exists an obvious spatial agglomeration and dependence on the municipal ODR. The findings indicate that it is reasonable to use nighttime light data to predict the municipal ODR in large and medium-sized cities. Our approach can provide support for future regional censuses and spatial simulations

Sensitivity of self-elevating unit leg strength to different chord space

Aiming to optimize the truss leg structure of self-elevating unit, the sensitivity of leg strength to different chord space was analyzed, and the optimal value of chord space for legs was presented. The wind load under storm condition was obtained by wind tunnel test, and the wave and current loads were calculated based on theoretical and numerical methods. The natural vibration period and first order offset value were obtained by eigenvalue analysis, thus the inertial load considering the dynamic amplification factor and the inertial moment considering the geometric nonlinearity were obtained. It is found out through analysis that: the inertial load considering the dynamic amplification factor is more sensitive to chord space under a certain wave and current angle, and decreases with the increase of chord space in general; the inertial moment considering the geometric nonlinearity also decreases with the increase of chord space. According to the environment load, the strength of leg structures at different chord spaces were checked and the sensitivity of the structure strength to chord space was compared. Based on this, the optimal values of chord space for legs at three water depths were presented. Key words: self-elevating unit, environment load, leg strength, chord spac

Graphene oxide for cellulose hydrolysis: how it works as a highly active catalyst?

Graphene oxide (GO-ene), the two-dimensional carbon lattice decorated by abundant oxygen functionalities, is demonstrated as an efficient green catalyst towards selective hydrolysis of cellulose to glucose. The synergy of its carboxylic/phenolic groups and its layered, soft structure rendered GO-ene superior hydrolytic activity

Application of the health action process approach model for reducing excessive internet use behaviors among rural adolescents in China:

Objective: There are few studies regarding Internet use behaviors of Chinese rural adolescents based on behavioral theory. The aim of this study is to examine the applicability and effectiveness of the health action process approach model (HAPA) in the intervention of excessive Internet use behaviors among rural adolescents in China. Methods: Three hundred twenty-seven participants who met the excessive Internet use criteria were involved in this study. Four interventions based on the HAPA model were conducted during 2015–2017. The structural equation model (SEM) was applied to fit the HAPA model. Results: The rate of average daily time spent online on weekends more than 4 h dropped from 57.2 to 39.1% (P &lt; 0.001). The rate of daily game time more than 2 h decreased from 51.1 to 35.2% (P &lt; 0.001). The result of SEM showed that both the applicability and effectiveness of the HAPA model were well in the intervention of excessive Internet use behaviors with good fitted indicators (χ2/df = 2.066, GFI = 0.889, CFI = 0.938, TLI = 0.928, IFI = 0.938, RMSEA = 0.057). The direct and indirect effects of the main pathways in the HAPA model were statistically significant (P &lt; 0.05). The comparison analysis of HAPA model variables identified that outcome expectancy, intention, maintenance self-efficacy had been improved significantly after interventions. Conclusion: The intervention measures based on the HAPA model can effectively reduce excessive Internet use behaviors of Chinese rural adolescents, mainly through strengthen outcome expectancy, intention, and maintenance self-efficacy.</p