Protective Effect of Naringenin on Acute Myocardial Ischemia-reperfusion Injury in Rats

[Objectives]To investigate the protective mechanism of naringenin on acute myocardial ischemia-reperfusion injury(AMI-RI)in Sprague-Dawley(SD)rats.[Methods]A total of 32 SD rats with AMI-RI model construction were randomly divided into AMI-RI model control group and citrus pigment A/B/C groups(n=8).The naringenin A,B,and C groups were administrated 20,40 and 80 mg/(kg•d)for 10 d.The AMI group served as the negative control and was not treated.At the conclusion of the treatment regimen,a sample of intraventricular blood was collected for the purpose of measuring lactate dehydrogenase(LDH),glutathione peroxidase(GLH-PX),nitric oxide(NO),and superoxide dismutase(SOD)levels.Additionally,myocardial tissue was identified within the ischemic region.The content of malondialdehyde(MDA)was determined by inducing nitric oxide synthase(iNOS)and endodermal nitric oxide synthase(eNOS)positive cells in the left anterior descending coronary artery.[Results]Following citrus treatment,the contents of GLH-PX and SOD in ventricular blood of the citrus B group were found to be significantly elevated,while the contents of NO and LDH in myocardial MDA and ventricle were observed to be significantly reduced.The number of eNOS-positive cells was significantly increased,while the number of iNOS-positive cells was significantly decreased.The difference was statistically significant when compared with the AMI-RI group(P<0.05).The changes observed in the above indicators in the citrus C group were more pronounced than those observed in the citrus B group.The difference between the citrus C and the B group was statistically significant(P<0.05),indicating that this effect is concentration dependent.[Conclusions]In addition to its ability to inhibit myocardial lipid peroxidation during AMI-RI by increasing SOD activity,naringenin may also affect the synthesis and release of NO by regulating eNOS and iNOS,thereby achieving protection against AMI-RI.One effect is enhanced as the dose of the drug increases.

Using ArcGIS to Study Transportation Accessibility of Cultural Tourism Resources with Wan'an County in Jiangxi Province as an Example

This paper reviews cultural tourist attractions and transportation conditions of Wan'an County in Jiangxi Province,and calculates the accessibility and kernel density of transportation network by using ArcGIS.Through the analysis,it obtains the spatial relationship between the accessibility of Wan an County and the spatial structural characteristics of"one center,two clusters,two verticals and one horizontal"presented by the cultural tourism resources.Based on this,the paper puts forward the transportation development suggestions for the development of cultural tourism for Wan'an County.

Transcatheter Arterial Embolization Combined with Anti-vascular Agent Combretastatin A4 Phosphate Inhibits Growth and Vascularization of Liver Tumor in an Animal Model

Objective This study aimed to investigate the effect of combretastatin A4 phosphate(CA4P)on proliferation,migration,and capillary tube formation of human umbilical vein endothelial cells(HUVECs)and the efficacy of transcatheter arterial embolization combined with CA4P in the treatment of rabbit VX2 liver tumor.Methods The effects of different concentrations of CA4P on proliferation,migration and capillary tube formation of HUVECs were investigated by cell proliferation assay,wound healing assay and capillary tube formation assay,respectively.Thirty-two rabbits implanted with liver VX2 tumors were randomly divided into 4 groups.After catheterization of the left hepatic artery,the infusion was performed using normal saline(group A),CA4P aqueous solution(group B),lipiodol and polyvinyl alcohol particles(group C),and CA4P lipiodol emulsion and polyvinyl alcohol particles(group D),respectively.Half of the animals in each group were euthanized for immunohistochemical analysis to evaluate microvessel density(MVD)at 3 days post-treatment.The other half were examined by MRI and histology to evaluate tumor growth and necrosis at 7 days post-treatment.Results CA4P could inhibit the proliferation,migration,and tube formation of HUVECs in cell experiments.After interventional treatment,the level of MVD in group D was lower than that in group C(P<0.01).The tumor volume in group C or D was lower than that in group A or B(P<0.01).The tumor necrosis rate was higher in group D than in the other groups.Conclusion The study suggests that CA4P could inhibit the proliferation,migration,and capillary tube formation of HUVECs,and transcatheter arterial embolization combined with CA4P could inhibit the growth of VX2 tumor and obviously induce tumor necrosis.

Disease and Economic Burden of Kashin-Beck Disease—China,2021

What is already known about this topic?Kashin-Beck disease(KBD)is a chronic and degenerative osteoarthropathy characterized by cartilage degeneration.It is an endemic disease that is highly prevalent among the Chinese population and poses a significant health risk.What is added by this report?This is the first national report on the economic burden of KBD in China.According to the data from 2021,KBD has caused significant disease and economic burdens.The most substantial reduction in healthy life expectancy was observed among patients with degree II severity and those aged 60 years and older,resulting in a total indirect economic burden of 112.74 million Chinese Yuan(CNY).What are the implications for public health practice?The results of this study will contribute to informing the development of tailored prevention and control strategies by the government.These strategies will include targeted policies and recommendations for appropriate healthcare and financial subsidies,which will be based on the demographic characteristics of the endemic areas.

Reasoning Disaster Chains with Bayesian Network Estimated Under Expert Prior Knowledge

With the acceleration of global climate change and urbanization,disaster chains are always connected to artificial systems like critical infrastructure.The complexity and uncertainty of the disaster chain development process and the severity of the consequences have brought great challenges to emergency decision makers.The Bayesian network(BN)was applied in this study to reason about disaster chain scenarios to support the choice of appropriate response strategies.To capture the interacting relationships among different factors,a scenario representation model of disaster chains was developed,followed by the determination of the BN structure.In deriving the conditional probability tables of the BN model,we found that,due to the lack of data and the significant uncertainty of disaster chains,parameter learning methodologies based on data or expert knowledge alone are insufficient.By integrating both sample data and expert knowledge with the maximum entropy principle,we proposed a parameter estimation algorithm under expert prior knowledge(PEUK).Taking the rainstorm disaster chain as an example,we demonstrated the superiority of the PEUK-built BN model over the traditional maximum a posterior(MAP)algorithm and the direct expert opinion elicitation method.The results also demonstrate the potential of our BN scenario reasoning paradigm to assist real-world disaster decisions.

Multi-hazard disaster scenario method and emergency management for urban resilience by integrating experiment-simulation-field data

Due to the frequent occurrence of multi-hazard disasters worldwide in recent years,effective multi-hazard sce-nario analysis is imperative for disaster rescue and emergency management.The response procedure for different single hazards were investigated and formulated before.However,the investigations of disaster scenario rarely systematically address the entire development and response process of multi-hazards,including the coupling mechanisms,evolution dynamics,scenario assessment and emergency response.To this end,this paper presents our methodology of multi-hazard disaster scenario that integrates experiment-simulation-field data,focusing on three dimensions consisting of multi-hazard coupling,structures and systems,and emergency management.The newly proposed scenario method mainly comprises three aspects:experiments and simulations,multi-hazard field investigation,scenario analysis and response.Specifically,in order to study the large-scale,high-intensity and multi-hazard coupling effects,we carried out reduced-scale experiments and field measurement experiments to develop experimental similarity theory and prototype simulations of multi-hazards.In addition,a variety of field rescue and survey equipment,such as robots,Unmanned Aerial Vehicle(UAV),and Virtual Reality/Augmented Reality(VR/AR)technologies were utilized to acquire real-time data of multi-hazard field.Furthermore,we also examine the mechanism and framework of multi-hazard scenarios to formulate the detailed procedures of man-agement and response.They are incorporated with the experiments,simulations,field data and models to con-struct a new scenario platform.The proposed scenario method was applied in a case study of the coupled wind and snow multi-hazard to verify its effectiveness.The new method contributes to the disaster relief,decision-making and emergency management for multi-hazard disaster to improve the urban resilience.

A BP neural network optimisation method based on dynamical regularization

When the traditional BP neural network has a big size of neurons in its hidden layers,it can own a very strong ability in fitting practical complex objective functions,but simultaneously for the same reason,the over-fitting problem is almost inevitable and will be more serious when there is only a very restricted size of training data.A new BP neural network optimisation method is given based on dynamical regularization(DRBP)in this paper.Differing from the traditional regularization method with an invariant prior assumption,this proposed method carries out weight decaying with adjusting regularization parameter dynamically according to the stability of the network during the whole training process.The results of experiments represented in this paper have shown that our method can antagonise the over-fitting problem effectively,reinforcing the generalisation ability of the model,and as an obvious result,the classification accuracy on the testing data is promoted.

Forecasting of COVID-19: spread with dynamic transmission rate

The COVID-19 was firstly reported in Wuhan,Hubei province,and it was brought to all over China by people travelling for Chinese New Year.The pandemic coronavirus with its catastrophic effects is now a global concern.Forecasting of COVID-19 spread has attracted a great attention for public health emergency.However,few re-searchers look into the relationship between dynamic transmission rate and preventable measures by authorities.In this paper,the SEIR(Susceptible Exposed Infectious Recovered)model is employed to investigate the spread of COVID-19.The epidemic spread is divided into two stages:before and after intervention.Before intervention,the transmission rate is assumed to be a constant since individual,community and government response has not taken into place.After intervention,the transmission rate is reduced dramatically due to the societal actions or measures to reduce and prevent the spread of disease.The transmission rate is assumed to follow an exponential function,and the removal rate is assumed to follow a power exponent function.The removal rate is increased with the evolution of the time.Using the real data,the model and parameters are optimized.The transmission rate without measure is calculated to be 0.033 and 0.030 for Hubei and outside Hubei province,respectively.After the model is established,the spread of COVID-19 in Hubei province,France and USA is predicted.From results,USA performs the worst according to the dynamic ratio.The model has provided a mathematical method to evaluate the effectiveness of the government response and can be used to forecast the spread of COVID-19 with better performance.

Key technologies of the emergency platform in China

An emergency platform is an informatization support platform for disaster information perception,disaster situa-tional awareness,and emergency decision command.This is a key tool for ensuring the efficiency and effectiveness of emergency responses.Numerous large countries have conducted in-depth research on the key technologies of emergency platforms.Over the past 20 years,with the reform of emergency management mechanisms,China has developed two generations of emergency platform systems.This paper reviews the two generations of emergency platforms and summarizes their key technologies including multi-source-based monitoring and early warning,multi-hazard risk assessment,“scenario-response”-based decision support,synthetical forecasting based on in-cident chain,and emergency common operational picture(COP)for command and dispatch.Future research directions for the next generation emergency platforms are also proposed.