Contagion dynamics on adaptive multiplex networks with awareness-dependent rewiring

Over the last few years,the interplay between contagion dynamics of social influences(e.g.,human awareness,risk perception,and information dissemination)and biological infections has been extensively investigated within the framework of multiplex networks.The vast majority of existing multiplex network spreading models typically resort to heterogeneous mean-field approximation and microscopic Markov chain approaches.Such approaches usually manifest richer dynamical properties on multiplex networks than those on simplex networks;however,they fall short of a subtle analysis of the variations in connections between nodes of the network and fail to account for the adaptive behavioral changes among individuals in response to epidemic outbreaks.To transcend these limitations,in this paper we develop a highly integrated effective degree approach to modeling epidemic and awareness spreading processes on multiplex networks coupled with awareness-dependent adaptive rewiring.This approach keeps track of the number of nearest neighbors in each state of an individual;consequently,it allows for the integration of changes in local contacts into the multiplex network model.We derive a formula for the threshold condition of contagion outbreak.Also,we provide a lower bound for the threshold parameter to indicate the effect of adaptive rewiring.The threshold analysis is confirmed by extensive simulations.Our results show that awareness-dependent link rewiring plays an important role in enhancing the transmission threshold as well as lowering the epidemic prevalence.Moreover,it is revealed that intensified awareness diffusion in conjunction with enhanced link rewiring makes a greater contribution to disease prevention and control.In addition,the critical phenomenon is observed in the dependence of the epidemic threshold on the awareness diffusion rate,supporting the metacritical point previously reported in literature.This work may shed light on understanding of the interplay between epidemic dynamics and social contagion on adaptive networks.

Primary Clinical Evaluation of the Joint Replacement for the Treatment of the First Metatarsophalangeal Arthritis

Objective To retrospectively assess the primary clinical results of a cohort of the first metatarsophalangeal joint replacement with double-stemmed hinge silicone implant. Methods A total of 12 patients (15 feet) received the joint replacement with double-stemmed hinge silicone implant. There were 2 males and l0 females with a mean age of 61.4 (range, 56-75) years old. Of them, 9 cases (11 feet) were hallux valgus with osteoarthritis; 1 case (2 feet) was rheumatic arthritis; 2 cases (2 feet) were traumatic arthritis. The sub)ective and objective results were evaluated during follow-up. Results All of the patients were followed up regularly with an average of 24.7 months, ranging from 12 to 38 months. Ten patients were completely satisfied with the operation; I patient showed partial saris- faction, and 1 patient was not satisfied because of the first matatarsophalangeal joint pain due to severe hy- perosteogeny surrounding the cut bone surface 3 years after the operation. Osteolysis around the implant occurred in 2 cases without clinical symptoms, and no special treatment was given. Conclusion The joint replacement is a preferable method in alleviating pain and improving walking function with proper indication.

Global burden and drivers of hyperglycemia:Estimates and predictions from 1990 to 2050

Hyperglycemia is a key risk factor for death and disability worldwide.To better inform prevention strategies,we aimed to delineate and predict the temporal,spatial,and demographic patterns in mean fasting plasma glucose(FPG)levels and their related disease burden globally.Based on the Global Burden of Disease Study 2019,we estimated the distributions of mean FPG levels and high FPG-related disease burden by age,sex,year,socioeconomic status(SES),and geographical region from 1990 to 2050.

Acceptance of overseas clinical trial data of medical devices for pre-market registration: general principles and considerations of the National Medical Products Administration

A clinical trial is a systematic investigation or study in or on one or more human subjects,undertaken to assess the safety,clinical performance,and/or effectiveness of a medical device.[1]In this paper,“overseas clinical trial data”refers to data generated from a clinical trial(s)conducted in a foreign country or jurisdiction and proposed to be used as clinical evidence for a pre-market registration application in China.