1.Preparation technique of irisquinone-hydroxypropyl-?-cyciodextrin inclusion complex with orthogonal design
Xuenong ZHANG ; Xueying YAN ; Lihuan TANG ; Qian ZHANG
Chinese Traditional Patent Medicine 1992;0(09):-
AIM: To screen and optimize the preparation conditions of irisquinone-hydroxypropyl-?-cyclodextrin inclusion complex (Irisquinone-HP-?-CD) with stiring method. METHODS: The load-drug and recovery of irisquinone were adopted as the index, host-guest molar ratio, alcohol concentration and stiring rate as factors, have been investigated in the techniques of irisquinone-HP-?-CD. RESULTS: The load-drug and recovery of irisquinone-HP-?-CD were respective ( 15.79 ?0.22)% and ( 92.03 ?6.26)% by optimizing conditions which were host-guest molar ratio 2∶1, 90% EtOH and stiring rate 800r?min -1. At the same time, the dissolution test showed that irisquinone was faster released from inclusion complex than that from capsules and mixture dosage form. CONCLUSION: The optimizing techniques fit to prepare irisquinoe-HP-?-CD in industry.
2.Hot spots analysis for MOOC research of higher medical education in our country based on co-word clustering
Shenqing LI ; Sida CHEN ; Lihuan QIAN ; Jing LI ; Peihua LIANG ; Chunping FANG ; Buping LIU
Chinese Journal of Medical Education Research 2016;15(1):62-66,67
Objective To analyze the hot research spots of MOOC research of higher medical edu-cation in China. Methods We searched the database of China National Knowledge Infrastrucure (CNKI), VIP database of Chinese journal (VIP), Wanfang Database for published studies on MOOC research of higher medical education from 2005 to April 2015. The high frequency words were counted by an analysis program-Bibliographic Item Co-occurrence Matrix Builder (BICOMB). According to the ranking word frequency threshold formula by Donohue, we collected the high-frequency keywords. The corresponding co-word ma-trixes were constructed by Bibexcel, then the data was input into SPSS 19.0 software for hierarchical clus-tering analysis. Results Finally 2 459 articles were included. 11 177 keywords and 13 high frequency words (the number of the real selected was 24) were taken into account. The keywords “stanford” clus-tered with “education module”, “online education”, “online courses”, “distance education”, “learning pro-cess”, “self-regulated learning”, “information technology”, “classroom teaching”. The keywords “network course” clustered with “teaching design”. The keywords “online learning” clustered with itself. The key-words “challenge” clustered with “colleges and universities”. The keywords “flipped classroom” clustered with“micro-lecture”,“MOOC”,“higher education”, “library”, “teaching module”, “teaching reform”, “big data”,“open education”. The keywords“SPOC”clustered with itself. Conclusion The research of MOOC research of higher medical education in our country has formed the basic characteristics with six hot spots involving teaching design, the model of online learning, dispassion thinking, teaching reform, and develop-ment. And there are many potential areas.
3.Effect of mindfulness music training on sleep-wakefulness behavior in patients with acute stress disorder sleep disorder with cerebral hemorrhage
Jie CHENG ; Qian WANG ; Weiliang WANG ; Lihuan DONG
Chinese Journal of Nervous and Mental Diseases 2018;44(5):288-293
Objective To explore the effect of mindfulness-based music therapy (MBMT) on sleep-wakefulness behavior in patients with acute stress disorder (ASD) coexisting sleep disorder with cerebral hemorrhage. Methods A total of 70 patients with cerebral hemorrhage and ASD coexisting sleep disorders were randomly divided into two groups (n=35 each group). The study group was treated with mindfulness and soothing music training on the basis of routine treatment for 28 consecutive days. The control group only received routine treatment. Polysomnography (PSG) was used to compare sleep-wake behavior before and after intervention. Results After the intervention, the numbers of awakenings, awakenings greater than 5 min, micro awakenings, NREM micro awakenings, micro awakenings in phase 1, micro awakenings in phase 2, and REM awakenings were decreased in both groups (P<0.05). The degree of reduction of those parameters were greater and the proportion of total sleep time to recording time was longer in the study group than in the control group (P<0.05). Conclusion Music therapy based on mindfulness can effectively improve the sleep-wakeful behavior of ASD patients with cerebral hemorrhage, change the sleep process, and improve their sleep quality.