This paper reviews the published articles of recent years on the application of deep learning methods in automatic localization of acupoint, and summarizes it from 3 key links, i.e. the dataset construction, the neural network model design, and the accuracy evaluation of acupoint localization. The significant progress has been obtained in the field of deep learning for acupoint localization, but the scale of acupoint detection needs to be expanded and the precision, the generalization ability, and the real-time performance of the model be advanced. The future research should focus on the support of standardized datasets, and the integration of 3D modeling and multimodal data fusion, so as to increase the accuracy and strengthen the personalization of acupoint localization.
Deep Learning ; Acupuncture Points ; Humans ; Neural Networks, Computer

To explore the evaluation method of evidence body for acupuncture and moxibustion clinical practice guidelines (CPGs), and to provide methodological support for the development of acupuncture and moxibustion CPGs and to promote the establishment and application of acupuncture and moxibustion standard. Based on the academic characteristics of TCM acupuncture, the stratified evidence evaluation method was proposed. Firstly, evidences were collected from the ancient literature, modern literature and clinical experience, and were scientifically distinguished and evaluated. Secondly, all the evidences were integrated as body of evidence by analytic hierarchy process (AHP). Lastly, based on the general index (GI), the clinical recommendations for acupuncture were proposed. Based on the stratified evidence evaluation method, acupuncture and moxibustion CPGs were developed in a more scientific and objectiveway with the comprehensive and sufficient evidences.
Acupuncture Therapy ; Moxibustion

Objective To detect the main nutritional components of novel jujube beverage from Laoling Zizyphus Jujuba cv.Jinsixiaozao.Methods Free monosaccharides in novel jujube juice were determined by the HPLC-RID method while water-soluble polysaccharides were analyzed by UV spectrophotometric method with the phenol-sulfuric acid derivatization.Amino acid and mineral contents were obtained by the automatic amino acid analyzer and atomic absorption photometric methods, respectively.The quantification of total phenolic and flavonoids was accomplished by the UV spectrophotometric method after the respective complexation of the Folin-Ciocalteu reagent and aluminum nitrate.The contents of rutin and cyclic nucleotides were determined by the HPLC-UV method.Results The average contents of sucrose, glucose, fructose and polysaccharides in novel jujube juice were 3.85, 32.5,27.3 and 3.6 mg/mL, respectively.The total amino acid average content was 269.7 μg/mL.The mineral average contents of Ca, Fe, Mg, Zn, Mn, Cr, and Cu were 35.1,0.85, 55.8, 0.85, 0.44, 0.41, 0.21μg/mL, respectively.The novel jujube juice contained average 1.34μg/mL rutin equivalents of total phenolics and average 157.3 μg/mL gallic acid equivalents of total flavonoids.Finally, the average amounts of rutin, cAMP and cGMP were 7.15, 19.17 , and 8.11 μg/mL, respectively.Conclusion The newly developed jujube juice is worthwhile further marketing development attributed to its rich nutritional components and healthy values .

This paper sets out to summarize the literatures based on immobilized enzyme biochromatography and its application in inhibitors screening in the last decade.In order to screen enzyme inhibitors from a mass of compounds in preliminary screening,multi-pore materials with good biocompatibility are used for the supports of immobilizing enzymes,and then the immobilized enzyme reactor applied as the inmobilized enzyme stationary phase in HPLC.Therefore,a technology platform of high throughput screening is gradually established to screen the enzyme inhibitors as new anti-tumor drugs.Here,we briefly summarize the selective methods of supports,immobilization techniques,co-immobilized enzymes system and the screening model.

Objective To evaluate the efficacy of eszopiclone for patients with acute insomnia and the impact of premedication with eszopiclone on sleep structure of patients with acute insomnia.Methods In an open-label,self-control trial was conducted at Changzheng Hospital Sleep Centers,and patients (n =32) with acute insomnia (12 men,20 women; mean age,36.2 years) were administered eszopiclone 3 mg for three consecutive nights.Sleep was monitored via polysomnography.The insomnia severity index (ISI),and mini-mental state examination (MMSE) were used to assess the degree of insomnia and impact of drugs on cognitive function during the day.Results Eszopiclone can shorten sleep latency ( before treatment:(52.92 ± 11.71 ) min,after treatment:(28.2 ± 10.11 ) min; t =-4.376,P ＜0.01 ),prolong total sleep time(before treatment:(365.22 ±30.13) min,after treatment:(429.18 ±26.93 ) min; t =4.102,P ＜ 0.01 ),decrease wake up times( before treatment:( 5.00 ± 1.92 ) times,after treatment:( 2.73 ± 0.91 )times; t =- 4.592,P ＜ 0.01 ),improve sleep efficiency ( before treatment:72.69％ ± 6.32％,after treatment:82.67％ ± 4.16％ ; t =3.371,P ＜ 0.01 ),reduce awake time ( before treatment:( 88.51 ±17.48) min,after treatment:(65.93 ±21.l0)min; t =-4.592,P ＜0.01 ),decrease light sleep ( NREM1 period) the percentage of time ( before treatment:12.54％ ± 2.10％,after treatment:7.30％ ± 2.90％ ;t=-3.155,P ＜ 0.01 ),and increase the percentage of slow wave sleep (before treatment:8.03％ ±5.37％,after treatment:9.31％ ±5.29％; t =4.228,P ＜0.01).No effect was observed on the percentage of NERM2 period (t =0.731,P ＞0.05) and REM period (t =-0.813,P ＞0.05).Eszopiclone can improve the quality of subjective assessment of sleep ( ISI score decreased,t =- 2.551,P ＜ 0.05) and has no significant effect on cognitive function on first the morning after patients taking the medication.Conclusion Eszopiclone can positively regulate the sleep structure in patients with acute insomnia and improve subjective assessment of sleep quality.It is safe and has no significant effect on cognitive function.