Anticipatory anxiety is a negative emotion that arises when individuals encounter potential threats or uncertainties in the future. It is the core symptom of a variety of anxiety disorders, and is closely associated with the occurrence, severity, treatment outcome, and prognosis of anxiety disorders, which has garnered a growing amount of focus in clinical practice. Nevertheless, scientific research on anticipatory anxiety continues to face obstacles such as unclear pathological mechanisms, the absence of simple and consistent self-assessment tools, and effective interventions. To improve understanding of the role of anticipatory anxiety in the diagnosis and treatment of anxiety disorders, this study reviews pertinent domestic and international literature, and briefly introduces the concept, assessment and measurement, activation paradigm, pathological mechanisms, and interventions of anticipatory anxiety.

Anticipatory anxiety is a negative emotion that arises when individuals encounter potential threats or uncertainties in the future. It is the core symptom of a variety of anxiety disorders, and is closely associated with the occurrence, severity, treatment outcome, and prognosis of anxiety disorders, which has garnered a growing amount of focus in clinical practice. Nevertheless, scientific research on anticipatory anxiety continues to face obstacles such as unclear pathological mechanisms, the absence of simple and consistent self-assessment tools, and effective interventions. To improve understanding of the role of anticipatory anxiety in the diagnosis and treatment of anxiety disorders, this study reviews pertinent domestic and international literature, and briefly introduces the concept, assessment and measurement, activation paradigm, pathological mechanisms, and interventions of anticipatory anxiety.

Industry-university-research cooperation is not only the core of technological innovation,but also an important way to enhance industrial competitiveness and achieve high-quality development.Industry-university-research cooperation in Liaoning Province has achieved significant results in promoting technological innovation and economic development,but there are still some problems and challenges.The main problems include insufficient depth of industry-university-research cooperation,scattered innovation resources,lack of long-term stable cooperation mechanisms,as well as talent loss and lack of high-quality innovative talents.Through systematically sorting out the existing models of industry-university-research cooperation,it proposes a series of targeted and operable countermeasures and suggestions.These measures and suggestions provide solid theoretical support for the healthy development of industry-university-research cooperation in Liaoning Province.

Objective:To study the situation of legal regulations for the integration of industry-university-research in Liaoning,improve the concept of legal regulation,optimize the legal regulation methods,so as to promote the deep integration of industry-university-research in Liaoning.Method:Problem-oriented approach was used,and the problems of the current legal regulations for the integration of industry-university-research in Liaoning were reviewed.Result:It was found that legal regulations for the deep integration of industry-university-research in Liaoning were not yet perfect,which was manifested in insufficient coverage of policies and regulations,relatively lagging update of regulations,and insufficient highlighting of local characteristics.Conclusion:In response to the above issues,it is proposed to use measures such as collaborative regulation,incentive regulation and moderate regulation to establish and improve the legal system of the integration of industry-university-research in Liaoning province.

Currently, there is still no effective curative treatment for the development of late-stage liver fibrosis. Here, we have illustrated that TB001, a dual glucagon-like peptide-1 receptor/glucagon receptor (GLP-1R/GCGR) agonist with higher affinity towards GCGR, could retard the progression of liver fibrosis in various rodent models, with remarkable potency, selectivity, extended half-life and low toxicity. Four types of liver fibrosis animal models which were induced by CCl₄, α-naphthyl-isothiocyanate (ANIT), bile duct ligation (BDL) and Schistosoma japonicum were used in our study. We found that TB001 treatment dose-dependently significantly attenuated liver injury and collagen accumulation in these animal models. In addition to decreased levels of extracellular matrix (ECM) accumulation during hepatic injury, activation of hepatic stellate cells was also inhibited via suppression of TGF-β expression as well as downstream Smad signaling pathways particularly in CCl₄-and S. japonicum-induced liver fibrosis. Moreover, TB001 attenuated liver fibrosis through blocking downstream activation of pro-inflammatory nuclear factor kappa B/NF-kappa-B inhibitor alpha (NFκB/IKBα) pathways as well as c-Jun N-terminal kinase (JNK)-dependent induction of hepatocyte apoptosis. Furthermore, GLP-1R and/or GCGR knock-down results represented GCGR played an important role in ameliorating CCl₄-induced hepatic fibrosis. Therefore, TB001 can be used as a promising therapeutic candidate for the treatment of multiple causes of hepatic fibrosis demonstrated by our extensive pre-clinical evaluation of TB001.

This study aimed to quantitatively assess the effectiveness of the Wuhan lockdown measure on controlling the spread of coronavirus diesase 2019 (COVID-19). : Firstly，estimate the daily new infection rate in Wuhan before January 23，2020 when the city went into lockdown by consulting the data of Wuhan population mobility and the number of cases imported from Wuhan in 217 cities of Mainland China. Then estimate what the daily new infection rate would have been in Wuhan from January 24 to January 30th if the lockdown measure had been delayed for 7 days，assuming that the daily new infection in Wuhan after January 23 increased in a high，moderate and low trend respectively (using exponential, linear and logarithm growth models). Based on that，calculate the number of infection cases imported from Wuhan during this period. Finally，predict the possible impact of 7-day delayed lockdown in Wuhan on the epidemic situation in China using the susceptible-exposed-infectious-removed (SEIR) model. : The daily new infection rate in Wuhan was estimated to be 0.021%，0.026%，0.029%，0.033% and 0.070% respectively from January 19 to January 23. And there were at least 20 066 infection cases in Wuhan by January 23，2020. If Wuhan lockdown measure had been delayed for 7 days，the daily new infection rate on January 30 would have been 0.335% in the exponential growth model，0.129% in the linear growth model，and 0.070% in the logarithm growth model. Correspondingly，there would have been 32 075，24 819 and 20 334 infection cases travelling from Wuhan to other areas of Mainland China，and the number of cumulative confirmed cases as of March 19 in Mainland China would have been 3.3-3.9 times of the officially reported number. Conclusions: Timely taking city-level lockdown measure in Wuhan in the early stage of COVID-19 outbreak is essential in containing the spread of the disease in China.
COVID-19 ; China/epidemiology* ; Cities ; Communicable Disease Control ; Humans ; SARS-CoV-2

To evaluate the impact of socioeconomic status，population mobility，prevention and control measures on the early-stage coronavirus disease 2019 (COVID-19) development in major cities of China. : The rate of daily new confirmed COVID-19 cases in the 51 cities with the largest number of cumulative confirmed cases as of February 19，2020 (except those in Hubei province) were collected and analyzed using the time series cluster analysis. It was then assessed according to three aspects，that is, socioeconomic status，population mobility，and control measures for the pandemic. : According to the analysis on the 51 cities，4 development patterns of COVID-19 were obtained，including a high-incidence pattern (in Xinyu)，a late high-incidence pattern (in Ganzi)，a moderate incidence pattern (in Wenzhou and other 12 cities)，and a low and stable incidence pattern (in Hangzhou and other 35 cities). Cities with different types and within the same type both had different scores on the three aspects. : There were relatively large difference on the COVID-19 development among different cities in China，possibly affected by socioeconomic status，population mobility and prevention and control measures that were taken. Therefore，a timely public health emergency response and travel restriction measures inside the city can interfere the development of the pandemic. Population flow from high risk area can largely affect the number of cumulative confirmed cases.
COVID-19 ; China/epidemiology* ; Cities ; Humans ; SARS-CoV-2 ; Social Class

To predict the epidemiological trend of coronavirus disease 2019 (COVID-19) by mathematical modeling based on the population mobility and the epidemic prevention and control measures. : As of February 8，2020，the information of 151 confirmed cases in Yueqing，Zhejiang province were obtained，including patients' infection process，population mobility between Yueqing and Wuhan，etc. To simulate and predict the development trend of COVID-19 in Yueqing, the study established two-stage mathematical models，integrating the population mobility data with the date of symptom appearance of confirmed cases and the transmission dynamics of imported and local cases. : It was found that in the early stage of the pandemic，the number of daily imported cases from Wuhan (using the date of symptom appearance) was positively associated with the number of population travelling from Wuhan to Yueqing on the same day and 6 and 9 days before that. The study predicted that the final outbreak size in Yueqing would be 170 according to the number of imported cases estimated by consulting the population number travelling from Wuhan to Yueqing and the susceptible-exposed-infectious-recovered (SEIR) model; while the number would be 165 if using the reported daily number of imported cases. These estimates were close to the 170，the actual monitoring number of cases in Yueqing as of April 27，2020. : The two-stage modeling approach used in this study can accurately predict COVID-19 epidemiological trend.
COVID-19 ; China/epidemiology* ; Disease Outbreaks ; Humans ; Models, Theoretical ; Pandemics ; SARS-CoV-2

[Objective]To study the application of ZHANG Zhicong to the combination of Wu and Gui. [Method]Analyse the ZHANG Zhicong's explaining'Huang Di Nei Jing' and 'Shanghan Lun'and his monographs, through the theory of 'the combination of Wu and Gui'.[Result]ZHANG Zhicong's application has following traits:(l)Attach importance to the relationship of stomach and the kidney.(2)From the point of the view of Shanghan Lun, it can be summarized as'whether Shaoyin getting the warm of Yangming'. (3)The application combined with the theories of 'Zang and Fu 'and six-meridian and ' Qi and blood'.[Conclusion]ZHANG Zhicong used the theory of the combination of Wu and Gui to describe Chinese medical theory and herb and cases.lt is an inovation on theory, though it hasn't been systematized.

Objective To study the relationships between retinal microvascular disease and acute coronary event (ACE) among aged people. Methods A controlled study for senile people in communities was conducted. Xinglong Zhuang Coal Mine Community in Jining city, Shandong province was chosen to carry out the study, and the residents in that area aged≥60 years were asked to take questionnaire survey, physical and laboratory examinations. There were 139 cases met the diagnostic criteria of ACE being in the observation group, and 1 509 cases without ACE were assigned in the control group. The gender, age, smoking, alcohol intake, hypertension, diabetes mellitus, education, physical exercise, retinal microvascular disease, fasting blood-glucose, high density lipoprotein cholesterin (HDL-C), low density lipoprotein cholesterin (LDL-C), triacylglycerol (TG), systolic pressure, diastolic pressure, body mass index (BMI) were collected in the two groups to perform univariate analysis. Multivariate non-conditional logistic regression analysis was used for the factors with statistical significance to screen out the independent risk factors that could affect the occurrence of ACE. Results The univariate analysis showed:the risk factors that might cause the occurrence of ACE included age, gender, smoking, hypertension, diabetes mellitus, LDL-C, systolic pressure, diastolic pressure, BMI, and retinal microvascular disease (P<0.05 or P<0.01). In the ACE patients of observation group, the rates of presence of arteriovenous crossing sign [44.6%(62/139) vs. 27.8%(419/1 509)], hard exudates [9.4%(13/139) vs. 4.9%(74/1 509)] and cotton-wool patches [19.4%(27/139) vs. 7.3%(110/1 509)] in retinal microvascular disease were significantly higher than those in control group (P<0.05 or P<0.01). The logistic regression analysis showed:age [P=0.002, odds ratio (OR)=1.06, 95%confidence interval (95%CI)=1.04-1.09], smoking (P=0.032, OR=2.17, 95%CI=2.04-2.30), retinal microvascular disease (P = 0.010, OR = 2.33, 95%CI = 0.97 - 1.27), hypertension (P < 0.001, OR = 5.21, 95%CI=4.11-6.36), diabetes mellitus (P=0.021, OR=1.03, 95%CI=1.01-1.05) and LDL-C (P=0.020, OR=2.80, 95%CI = 2.65 - 2.99) were the independent risk factors for the occurrence of ACE. Conclusions Retinal microvascular disease is the independent risk factor for the occurrence of ACE. The retinal angiography can be a useful examination to forecast ACE.