Jinan Disabled Persons Federation

Sign language plays a significant role in smooth communication between the hearing-impaired and the healthy. Chinese fingerspelling is an important composition of Chinese sign language, which is suitable for denoting terminology and using as basis of gesture sign language learning. We proposed a Chinese fingerspelling recognition approach via Hu moment invariant and RBF support vector machine. Hu moment invariant was employed to extract image feature and RBF-SVM was employed to classify. Meanwhile, 10-fold across validation was introduced to avoid overfitting. Our method HMI-RBF-SVM achieved overall accuracy of 86.47 ± 1.15% and was superior to three state-of-the-art approaches.

Many sampling methods have been used for web accessibility evaluation. However, due to the difficulty of web page feature extraction and the lack of unsupervised clustering algorithm, the result is not very good. How to optimize the manual workload of different websites under the premise of ensuring that the overall manual workload remains the same during multi-site collaborative sampling is an important issue at present. To resolve the above problems, we propose a multi-site collaborative sampling method to obtain the final sampling result of each website. The effectiveness of the two sampling methods proposed in this paper is proved by experiments on real website datasets.

BackgroundNon-communicable disease (NCD) risk factors can co-exist with disability and cause a greater burden on the health status of adults with disabilities. A lack of egalitarian social policies in China may result in gender disparities in the NCD risk factors of adults with disabilities. However, little is known about the gender disparities in the association between socio-demographics and NCD risk factors among adults with disabilities in China; consequently, we examined this association among adults with disabilities in Shanghai, China.MethodsWe used the health examination data of 44,896 adults with disabilities in Shanghai in 2014. Descriptive analyses and logistic regression models were conducted to estimate gender disparities in the association between socio-demographics, disability characteristics, and four selected NCD risk factors among adults with disabilities—including high blood pressure, high blood glucose, high blood lipids, and being overweight. We estimated marginal effects (MEs) on NCD risk factors between gender and other confounders.ResultsWomen with disabilities were about 11.6 percentage points more likely to suffer from high blood lipids and less likely to develop the other three risk factors than men were. The association of age group, residence permit, education level, marital status, and disability type with health outcomes varied by gender among adults with disabilities. The difference in age effects between men and women was more pronounced in older age groups. Urban residence was associated with less risk of high blood pressure risk among women (ΔME = − 0.035, p < 0.01), but no significant difference in other NCD risk factors. Education remained a major protective factor against high blood pressure, high blood glucose and being overweight among women with disabilities (MEs < 0, p < 0.05); however, this did not hold for men. The difference in marriage effects between men and women was observed in high blood lipids (ΔME = − 0.048 for the married group and −0.054 for the divorced or widowed group) and overweight individuals (ΔME = − 0.091 for the married group and −0.114 for the divorced or widowed group). Women with intellectual disabilities or mental disabilities reported worse health conditions than men did.DiscussionPreventive strategies and interventions on NCD risk factors for adults with disabilities should take into account gender disparities in these socio-demographic effects. Rural women or poorly educated women with disabilities can be a vulnerable population that requires more health education and promotion strategies. Health education for caregivers of women with intellectual or mental disabilities may also play a vital role in preventing their NCD risk factors.

Objective To compare the influence of adjustable suture out from conjunctival flap or transparent cornea on ocular surface during complex trabeculectomy. Methods A prospective study. The data of 82 eyes of 82 cases with primary angle closure glaucoma were collected and analyzed. All cases were randomly divided into the observation group and control group, 41 cases in each group. All cases received complex trabeculectomy, including trabeculectomy, anterior chamber puncture, application of mitomycin C and adjustable suture. The adjustable suture of scleral flap was pierced out from transparent cornea in the observation group, and conjunctival flap in the control group. All cases were followed up at least 3 months, the symptoms of dry eye were evaluated by Zhao’s dry eye questionnaire, ocular surface function were examined by Guevara ocular surface analyzer. Results The differences of preoperative dry eye score, tear break-up time (BUT), tear meniscus height (TMH), and score of cornea fluoescein (SCSF) between the two groups were not statistically significant (P>0.05). Dry eye score of the observation group at 1 and 4 weeks after operation were much lower than those in the control group, BUT in the observation group at 1 day and 1 week after operation were much longer than those in the control group, TMH in the observation group at 1 day, 1 and 4 weeks after operation were much higher than those in the control group, SCSF in the observation group at 1 day and 1 week after operation were much lower than those in the control group, the differences were statistically significant (P<0.05). Conclusion Adjustable suture of scleral flap pierced out from transparent cornea can reduce the influence on ocular surface during complex trabeculectomy. Key words: Trabeculectomy, complex; Adjustable suture; Ocular surface; Dry eye

Crowdsourcing technology can help manual testing by soliciting the contributions from volunteer evaluators. But crowd evaluators may give inaccurate or invalid evaluation results. This paper proposes an advanced crowdsourcing-based web accessibility evaluation system called CrowdAE by enhancing the crowdsourcing-based manual testing module of the previous version. Through three main process namely learning system, task assignment and task review, we can improve the quality of evaluation results from the crowd. From the comparison on the two years’ evaluation process of Chinese government websites, our CrowdAE outperforms the previous version and improve the accuracy of the evaluation results.