Objective To explore and verify the protective and therapeutic effects and possible mechanisms of Zukamu granules on hypoxia alone and hypoxia+Su5416-induced hypoxic pulmonary hypertension(HPH)in mice.Methods Multiple databases and related literature were used to collect the active ingredients data in Zukamu granules and the HPH-related targets were predicted and obtained.The network construction and enrichment analysis were performed.The HPH mouse models were es-tablished by two-week hypoxia and four-week hypoxia+Su5416 induction,and the relevant indicators and the main pharmacodyna-mic indexes such as right ventricular pressure were tested.Masson staining was used to observe the pathological changes in lung tissues,and Western blotting was used to detect the expression levels of bax,bcl-2,PI3K,p-PI3K,eNOS,and HIF-1α in lung tis-sues.Results A total of 167 active ingredients of Zukamu granules were screened,with 179 intersecting targets with HPH,in-cluding targets like PIK3CA and HIF-1.The validation experimental results showed that Zukamu granules could significantly re-duce right ventricular systolic pressure and right ventricular hypertrophy in HPH mice,and down-regulate the expression of bcl-2 and HIF-1α and up-regulate the expression of bax,PI3K,p-PI3K and eNOS in mice lung tissues.Conclusion Zukamu gran-ules may act against HPH by modulating bax/bcl and PI3K-eNOS/HIF-1α signaling pathways.

Objective:The development level of health science technology innovation plays crucial role in the sustainable development of economy and society in China. This article summarizes the experience of U. S., compares with the status quo of health science technology innovation in China, to provide possible reference for the future development in this field.Methods:This study mainly uses literature review, comparative reference and other methods to analyze the health science technology innovation and its development experience in U. S.Results:The U. S. has formed a health science and technology system with state-level research institutions as the main component, and has a strategic layout in the frontiers of basic medicine, key diseases, key population health, and medical device technology.Conclusions:Based on the experience of the u. s., China should establish a continuous medical research investment mechanism, strengthen the sharing of basic resources, attach importance to deployment in key areas, and continue to support cutting-edge research.

Objective To analyze the literatures about artificial intelligence in cancer research in Web of Science (WOS) core collection database in 2010-2019 and summarize research hot spots and development trends. Methods Through bibliometrics methods and CiteSpace information visualization software, we applied the visual analysis of relevant literature on artificial intelligence in the field of cancer research retrieved from the Web of Science core collection database from 2010 to 2019. Results The number of published articles about artificial intelligence in the field of cancer research had been increasing year by year. The United States ranked first in the number of published articles in this field, the number of citations and cooperation capabilities. Although the number of published articles in China ranked the second, the number of citations was low. The hot spots of artificial intelligence in cancer research were mainly breast cancer and lung cancer. Machine learning, neural network and other methods were used to build models, which were used in basic cancer research, clinical diagnosis, treatment and prognosis prediction. The research frontiers were the methodological research of artificial intelligence, the research on the occurrence and classification of cancer and the research of protein in this field. Conclusion It will effectively promote the development of artificial intelligence in cancer research in China by learning the hot spots and cutting-edge technologies of international research, focusing on international cooperation and cooperation among national institutions and strengthening cross-disciplinary research.

Objective The paper aims to analyze the effectiveness and problems of health personnel construction in China since 2012,provide reference for promoting the construction of health professionals.Methods Using national data from China health statistics yearbook,adopted the methods of descriptive statistics and literature research and so forth.Results The construction of health personnel has been continuously strengthened in China,the structure and distribution of health personnel have been further optimized,the medical service capabilities have been improved.However,there are still inappropriate or imbalanced situations.Conclusions The construction of key personnel such as primary health personnel and urgently needed personnel need to be further strengthened;promote the construction of health service personnel to meet new health needs;continue to improve the construction of high-level and management personnel to play a leading role.

Objective To analyze the management experience of Swedish medical research funding,and provide reference for further rationalization of medical research investment management in China.Methods Literature research method,descriptive statistics and other methods were used to systematically sort out the source of Swedish medical research funding,and specifically analyze the capital investment and distribution in medical fields in the past ten years.Results The Swedish government 's budget in the UO9 (health,medical and social care) field is steadily increasing.The annual average budget accounts for 7.14％ of the total government budget.There are scientific management methods for fund allocation.The appropriation projects are mainly divided into three main directions including public health categories,health care and social care.Conclusions Taking into account of the problems existing in the investment and distribution of medical research funds in China,this paper proposes to explore the capital investment mode suitable for China's national conditions,enhance the targeted investment of funds in medicine,and establish a scientific and efficient fund investment management mechanism.

0bjective The cognitive intervention effects of different forms of virtual reality technology in mild cognitive impairment (MCI) patients were systematically evaluated to find the best form of virtual reality intervention in MCI patients. Methods The computer searched of CNKI, Wanfang, VIP, CBM, PubMed, Embase and Cochrane Library included literatures on virtual reality technology intervention for MCI patients for evaluation. Results 5 randomized controlled trials were included, a total of 232 participants were in, the intervention group was 115 participants,control group was 117 participants, the results showed that virtual reality memory training had greatly improved cognitive function (P<0.01), Virtual reality program training, double interactive virtual reality technology therapy and virtual reality rehabilitation training system combined with primary meridian acupuncture therapy can improve the cognitive ability of MCI patients (P<0.05). The virtual reality dual task training has no statistical significance for the improvement of cognitive function (P>0.05). Conclusions Virtual reality technology intervention for MCI patients is an effective way to improve the cognitive ability of patients.

Objective To analyze the influence of a dental caries phototherapy device using neodymium-yttrium-aluminum-garnet (Nd:YAG) laser on the temperature of tooth pulp chamber of different sites and morphologies under different irradiation duration and power. Methods Fifty intact isolated teeth were collected and randomly divided into middle incisor group, upper right first premolar group, upper right second molar group, upper left first premolar group, and upper left second molar group. Each experimental group was irradiated according to the laser power 1.5, 1.6, 1.7, 1.8, 1.9 and 2.0 W, and the irradiation duration 30, 60, 90 s. The temperature rise of the pulp chamber was recorded with a thermocouple thermometer. Results After the laser irradiation, the temperature of the tooth pulp chamber increased, and the temperature rise was less than 5.5℃, i.e. the threshold leading to the dental pulp necrosis. Conclusions The use of laser to prevent dental caries will increase the temperature of the tooth pulp chamber, but the temperature rise in the range of 5.5 ° C is relatively safe and will not cause irreversible damage to the pulp tissue.

Objective To analyze the hot spots and frontiers in domestic and foreign precision medicine with CiteSpace. Methods The CNKI and WOS-covered papers on precision medicine were analyzed by bibliometrics combined with CiteSpace. Results Domestic precision medicine got off in 1992 and scholars became interested in it from 2010 . Foreign precision medicine started in 1985 and studies on it increased rapidly from 2006 . The node of precision medicine was the largest in China with a rather high value of gene mutation, US president Barack Obama ( precision medicine program) , personalized medicine, gene chip, genomics and pharmacogenomics whereas the node of personalized medicine, cancer and breast cancer was the largest with a rather high value of precision medi-cine, pharmacogenomics and pharmacogenetics. Conclusion The number of domestic and foreign papers on US president Barack Obama ( precision medicine program) is rapidly increased and pharmacogenomics is their common frontier. However, cancer is highly concerned in foreign countries.

Objective·To analyze the choice of smoking cessation methods and its influencing factors in moderate-to-severe nicotine-dependent population.Methods·A retrospective clinical analysis was conducted for170 moderate-to-severe nicotine-dependent smoking-quitters (Fagerstr(o)m scale ≥ 4).Different smoking cessation methods (pharmacotherapy and non-pharmacotherapy) and abstinence rates of the selected population (7 d point prevalence abstinence rates and sustained abstinence rates 1,3,and 6 months after treatment) were compared and possible influencing factors were analyzed.Results·The differences in choosing the smoking cessation method in moderate-to-severe nicotine-dependent population with different ages,levels of education,and employment status were statistically significant (P=0.000).The Logistics regression analysis showed that the level of education was the major factor for choosing the smoking cessation method (P=0.006).The 7 d prevalence abstinence rate was much lower for pharmacotherapy than for non-pharmacotherapy 1 month after treatment (P=0.000) and was much higher for pharmacotherapy than for non-pharmacotherapy 3 and 6 months after treatment (P=0.000).The sustained abstinence rate was much higher for pharmacotherapy than for non-pharmacotherapy 3 and 6 months after treatment (P=0.002,P=0.000).Conclusion·For moderate-to-severe nicotine-dependent smoking-quitters,attention should be paid to the formulation and implementation of personalized strategies.The choice of smoking cessation methods depends on the age,level of education,and employment status.Reasonable pharmacotherapies can significantly increase the abstinence rate.

Objective Pleural effusion of patients with tuberculous pleurisy was analyzed by ultra high performance liquid chromatography-mass spectrometry (UPLC-MS).Orthogonal partial least squares discriminant analysis (OPLS-DA) model was established for searching and analyzing the potential metabolic biomarkers to provide new ideas for the early diagnosis of tuberculosis pleurisy.Methods Totally 166 cases of pleural samples were collected from November 2012 to September 2013 in Tianjin Haihe Hospital (tuberculosis pleurisy 83 cases,bacterial pleurisy 31 cases,lung cancer 30 cases and heart failure 22 cases)and metabonomics quantitative analysis was conducted.Quantitative analysis of metabolic methods was enrolled.Orthogonal partial least squares discriminant analysis (OPLS-DA) model was constructed by the pattern recognition method.Based on the OPLS-DA model,potential biomarkers was filtered preliminary by variable importance in the projection (VIP) and VIP confidence interval value.The specific metabolites were determined by applying non-parametric test(Kruskal-Wallis H test)by using SPSS 17.0,and potential metabolic biomarkers were screened.Results The prediction accuracy of OPLS-DA model was 100％ (38/38),which illustrated that the model could verify the tuberculous pleurisy group and the control group accurately.Based on the data of metabolites,46 potential metabolites were finally screened and 5 metabolites were identified with statistically significant differences (P ＜ 0.05).The data of tuberculosis pleurisy group showed a significant increase in 17a,20a-Dihydroxy cholesteryl,phospholipid [20∶4 (8Z,11Z,14z,17Z)] (1 188 670.00),tocotrienols (1 051 760.00) and phospholipid(O-18:0) (434 394.00) compared with the lung cancer group(735 615.00,336 815.00,324 563.00,193 055.00),bacterial pleurisy group (1 678 805.00,598 256.50,699 384.00,343 866.00),and heart failure group(535 842.00,253 503.00,234 503.00,130 185.00) (H =26.787,18.680,26.193,21.024,P ＜0.01),and a significant decrease in L-phenylalanine(245 976.00)compared with the lung cancer group(753 033.50),bacterial pleurisy group (357 278.00),and heart failure group(586 678.00) (H =13.635,P ＜ 0.01).Conclusions The OPLSDA model constructed on the basic of UPLC-MS technology platform can verify the tuberculous pleurisy group and the control group accurately,and the study provides new ideas and methods for identifying features of tuberculous pleurisy markers and early diagnosis.