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Articles by B. Zhou
Total Records ( 3 ) for B. Zhou
  J. Yan , Y. Liu , B. Zhou and M. Sun


To assess pre-hospital patient delay and its associated variables in patients with diabetic foot problems.


We classified 270 patients with diabetic foot problems retrospectively based on the distribution of pre-hospital delay. Clinical, demographic and socio-economic data were collected. Logistic regression analysis was performed to examine independent associations with patient delay.


The median pre-hospital delay time was 46.49 days. Patients reported short (≤ 1 week; 77 patients, 28.5%), moderate (> 1 week and ≤ 1 month; 106 patients, 39.3%) and long delays (> 1 month; 87 patients, 32.2%). In a univariate analysis, nine variables were associated with a longer delay (P < 0.05): (1) no previous ulcer; (2) no health insurance; (3) poor housing conditions; (4) low income level; (5) low educational level; (6) infrequent foot inspection; (7) few follow-up medical visits; (8) absence of diabetic foot education; (9) lack of knowledge of foot lesion warning signals. A multivariate analysis showed that absence of diabetic foot education (odds ratio 2.70, 95% CI 1.03-7.06, P = 0.043) and lack of knowledge of foot lesion warning signals (odds ratio 2.14, 95% CI 1.16-3.94, P = 0.015) were independent predictors of long patient delay. Long delay increased the risk of amputation (odds ratio 2.22, 95% CI 1.36-3.64, P = 0.002) and mortality (odds ratio 2.69, 95% CI 1.35-5.33, P = 0.005).


A number of factors were involved in pre-hospital delay among patients with diabetic foot problems and contributed to poor outcomes. We recommend developing a community intervention programme that targets at-risk communities to encourage earlier multidisciplinary team assessment to reduce disparities and improve foot outcomes in patients with diabetes.

  B.M. Qiao , B. Zhou , X.L. Yang , W. Wei and R. Liu
  The study proposed a new weighted least-square method and it is introduced to the localization process of sensor networks. DV-HOP algorithm can be improved based on this novel method. In this paper, the matrix condition number is introduced to adjust the weight of several functional in weighted least-square method. The coefficients are decided in a nonlinear optimization problem and it is difficult to get the best solution. A second best solution can be obtained easily by our method. The method is applied to solve two-dimensional Poisson problems and the results show it is valuable and is advantageous to similar problems. Efficiency and stability of the algorithm is proved in several numerical examples. The simulation results show that the proposed improvements can greatly enhance the localization accuracy of the nodes.
  X. Wang , B. Zhou and W. Li
  Memcached is a general-purpose distributed memory caching system that was originally developed by Danga Interactive for Live Journal but is now used by many other sites and It is thought to be one of the most effective solutions to speed up dynamic database-driven websites by caching data and objects in RAM to reduce the number of times that an external data source must be read. Memcached system uses a client-server architecture, it provides its standard memcached protocol to support any types of programming languages. The memcached protocol is simple and very efficient, while it doesn’t support big data objects very well. In this study, the memcached systems were firstly illustrated and then a detailed introduction was provided for the memcached protocol and then the issues of the stock protocol were specified. After that, a new streaming protocol was illustrated which was well designed for big data objects and could be easily integrated into original memcached protocols. Finally, some experiments were done to evaluate the new streaming protocol and finally the new protocol was proved to be very efficient for big data objects storage and it explored new application fields for memcached.
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