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| 1 | Research Progress of Aromatherapy in the Treatment of Obesity显示文摘Obesity is a common clinical disease,in order to take a healthy and simple way to treat it,the volatile properties of traditional Chinese medicine play a role in lifting weights.Aromatherapy uses the four qi and five flavors of traditional Chinese medicine as a typical representative.In order to explore the mechanism of action of aromatherapy in depth,through the etiology and pathogenesis of obesity,the historical origin of modern times,related organs,pathogenesis,and the research progress of aromatherapy in the treatment of obesity,the classification of aromatherapy,and the related research of aromatic drugs,it is found that aromatherapy has a large number of significant clinical effects in modern times.It can be used to treat obesity independently under the guidance of the basic theory of Chinese medicine,and can also be combined with other Chinese medicines to form prescription drug treatment,and in combination with other ways to treat obesity.However,at present,this method of treating obesity has not received widespread attention,and it still needs to be studied and promoted by scholars. | Xiaochao GANG Yang CHEN Mingjun LIU Jie LIU Xiaobo JIANG Hanrong QU Qijue LIANG Jiashu ZHOU Yuening DONG | 2022 | Medicinal Plant2022，13，4： | 1 |
| 2 | Purification and biochemical characterization of F Ⅱ(a),a fibrinolytic enzyme from Agkistrodon acutus venom显示文摘 | Xiuxia Liang Jiashu Chen Yingna Zhou | 2001 | Toxicon2001，39，8： | 1 |
| 3 | Traffic Scene Captioning with Multi-Stage Feature Enhancement显示文摘Traffic scene captioning technology automatically generates one or more sentences to describe the content of traffic scenes by analyzing the content of the input traffic scene images,ensuring road safety while providing an important decision-making function for sustainable transportation.In order to provide a comprehensive and reasonable description of complex traffic scenes,a traffic scene semantic captioningmodel withmulti-stage feature enhancement is proposed in this paper.In general,the model follows an encoder-decoder structure.First,multilevel granularity visual features are used for feature enhancement during the encoding process,which enables the model to learn more detailed content in the traffic scene image.Second,the scene knowledge graph is applied to the decoding process,and the semantic features provided by the scene knowledge graph are used to enhance the features learned by the decoder again,so that themodel can learn the attributes of objects in the traffic scene and the relationships between objects to generate more reasonable captions.This paper reports extensive experiments on the challenging MS-COCO dataset,evaluated by five standard automatic evaluation metrics,and the results show that the proposed model has improved significantly in all metrics compared with the state-of-the-art methods,especially achieving a score of 129.0 on the CIDEr-D evaluation metric,which also indicates that the proposed model can effectively provide a more reasonable and comprehensive description of the traffic scene. | Dehai Zhang Yu Ma Qing Liu Haoxing Wang Anquan Ren Jiashu Liang | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
| 4 | Advances in Research of Simple Obesity and Its Manipulative Therapy in Recent Ten Years显示文摘The simple obesity is a common clinical disease and its incidence is increasing year by year.With the increasing pace of work,increasing pressure,and changing eating habits,the incidence of simple obesity tends to be younger.Among the treatment protocols for this disease,TCM manipulative(Tuina)therapy has remarkable curative effect and few adverse reactions,and has been well recognized.Modern research has also proposed a variety of treatment protocols with different characteristics and good curative effects.This paper reviews the related literature on simple obesity and its manipulative therapy in the past ten years,and summarizes its disease name,etiology and pathogenesis,manipulation and related therapies,so as to provide new ideas and new angles for the treatment of the simple obesity. | Xiaochao GANG Zhenxiang XIAO Mingjun LIU Jie LIU Liang ZHANG Jiashu ZHOU Rong SHAO Haixia TANG Lijun ZHANG | 2022 | Medicinal Plant2022，13，3： | 0 |
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