ABSTRACT
Aim Modelorganismzebrafishwasusedto study metabolites and metabolite profile of the gallic acid and protocatechuic acid of effective fractions of Polygonum capitatum,and discuss the feasibility and rationality of the model organism zebrafish in the study ofdrugmetabolism.Methods Thetwocomponents were exposed to model organism zebrafish after 24 h of solution treatment by using ultra-high performance liq-uid chromatography-quadrupole-time-of-flight tandem mass spectrometry technology (UHPLC-Q-TOF MS ) method with mass defect filter (MDF ),and the data was treated with data mining software(Metabolite Tool-sTM).Results Afterzebrafishmetabolism,themain reactions of gallic acid and protocatechuic were methyl-ation sulfated. In addition to the two parent com-pounds,six phase II metabolites were identified,in-cluding four methyl sulfate products and two sulfation products.Conclusions Themetabolismofthegallic acid and protocatechuic acid of effective fractions of Polygonum capitatum by zebrafish presents phase Ⅱmetabolites,which is highly consistent with the meta-bolic mechanism of rats.Thus it indicates the rationali-ty of the methods.At the same time,it also provides the experimental basis for clarifying the substance basis of the drug.
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Objective To explore the application of unmanned aerial vehicles (UAVs) technology for casualty evacuation in disaster rescue.Methods The research status of casualty evacuation using unmanned aerial vehicles was described in the disaster medical rescue,and several UAVs involved in casualty evacuation were introduced.According to different dynamic structures,casualty evacuation UAVs were divided into four types,such as traditional rotor helicopter,multi-rotor aircraft,ducted fan aircraft,compound aircraft.Meanwhile,the load capacity and flight speed of involved UAVs were analyzed.Results The advantages of casualty evacuation UAVs in the previous researches related were summarized,with the problems and technical difficulty discussed.Furthermore,the development tendencies of casualty evacuation UAVs were predicted.Conclusion Casualty evacuation UAVs can transport the wounded to the professional medical institutions outside of the disaster scene instead of rescue crews,to reduce the casualty rate of rescuers and avoid secondary damage of the injured personnel,with accurate point to point casualty evacuation.
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Objective To realize SLAM and path planning of mobile robot to solve the problem of real-time data association in the process of moving and to update the computational complexity of the state covariance matrix.Methods The mathematical model of SLAM was built,and FastSlam algorithm based on particle filter,A* and dynamic window approach (DWA) were used to prepare gmapping function package in the ROS framework.Results The motion simulation,path planning and dynamic obstacle avoidance of mobile robot in the ROS framework were realized.Conclusion By using ROS platform,mobile robots can execute path planning efficiently while completing self-localization and map building.
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Objective To design a vision-based detection method for rotated human bodies to fulfill unmanned wounded search in the rescue operation.Methods HOG (histogram of oriented gradient) which was the most successful visual feature in pedestrian detection was involved in,and the human detection in the wounded search task was realized by multi-directional detection.Furthermore,two human bodies datasets were established by imitating the views of unmanned ground vehicle (UGV)and unmanned aerial vehicle (UAV).Results The application to the two datasets proved the method's feasibility in UGV and UAV.Conclusion The method is robust to the in-plane rotations and out-plane rotations of human bodies,which is of vital significance to promote the efficiency of the wounded searching and rescuing.
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Objective To design a visual terrain classification algorithm to facilitate the robot to make appropriate movement strategy by perceiving the surrounding environment.Methods Bag of words (BOW) and support vector machine (SVM) were used to develop a simple and effective terrain classification algorithm.The BOW model involved in feature extraction,codebook generation and feature coding.The mid-level feature developed by BOW model was then fed into SVM classifier to obtain the terrain classification result.Results The quadruped robot platform was applied to performing visual terrain classification experiment in the natural environment.The test environment included floor,asphalt,sand and grass.Good experimental results were achieved,and the classification accuracy was above 90％ (the beat was 97.54％ for grass).Conclusion The algorithm can effectively and accurately distinguish all kinds of terrains,with high accuracy and good stability.The key frame selection method needs researching in the future.
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Objective To evaluate the cost-effectiveness of four therapeutic regimes in the treatment of pa-tients with initial vulvovaginal eandidiasis. Methods 160 patients who were found for the first time with vulvovagi-hal eandidiasis were divided into four groups randomly: group A is clotrimazole (500rag) vaginal tablets; group B is fluconazole eaptica;group C is clotrimazole vaginal tablets combined with flueonazole;group D is nystatin vaginal ef-fervescent tablets. Date was evaluated using clinic economies co,t-effectiveness analysis. Results Among four groups,the costs for group A,B,C and D were 167.20 yuan, 190.23 yuan,237.43 ynan and 216.40 yuan,respec-tively. The tatol effective rates were 90.88 %, 90.12 %, 91.67 % and 67.10 %, respectively. The cost-effectiveness ratio were 1.84,2.11,2.59 and 3.23, respectively. The incremental cost-effectiveness ratios of group B, C and D vs group A were 32.90,87.78 and 2.07. Conclusion Regime A was superior than the other therapeutic regimes.