Objective To analyze the rules of property of the drugs used by State Medical Master Yan Zhenghua in clinical.Methods The prescriptions used by Pro. Yan were collected to build a database, which was based on traditional Chinese medicine inheritance assistant software. After analyzed by the software, such as using the module to analyze the prescriptions, the medication characters of the prescriptions can be got from the database.Results Drugs of warm nature were used with the highest frequency 7998 times, followed by the cool 7866 times, leveling 6763 times, cold 3942 times, and hot 95 times. From the property of five flavors, the most used flavor of drugs was bitter 15260 times, followed by sweet 10810 times, pungent 10453 times, sour 2794 times, salty 1651 times, mild 1203 times, and astringency 186 times. In the frequency of the channel tropism involved, the highest is of liver channel 14237 times, followed by lung 10452 times and spleen 10061 times.Conclusion Pro. Yan was accustomed to using the drugs that were of warm and cool natures, and sweet and pungent flavors, and also the drugs that have action on the collateral channels of liver, lung and spleen, which were the same as the experience from Pro. Yan.

Objective To explore the medication rules of State Medical MasterYan Zhenghua. Methods The prescriptions containing Radix Paeoniae Alba that prescribed by Pro. Yan were collected to build a database based on traditional Chinese Medicine(TCM)inheritance assist system. After analyzed by the statistical reports module and the data analysis module which were from TCM inheritance assist system, and the methods of data-mining that including association rules and apriori algorithm, the frequency of single medicine, the frequency of drug combination, the association rules between drugs and core drug combinations which all were including Radix Paeoniae Alba can be get from the database.Results The prescriptions including Radix Paeoniae Alba were commonly used to treat megrim, stomach-ache, acid regurgitation and other syndromes. The highest frequency used drugs were Radix PaeoniaeRubra, PericarpiumCitriReticulatae, Radix SalviaeMiltiorrhizae, Radix AngelicaeSinensis, Poria, and so on. The most frequency drug combinations were “RadxPaeoniae Alba, Radix PaeoniaeRubra”, “Radix SalviaeMiltiorrhizae, Radix Paeoniae Alba”, and “Radix Paeoniae Alba, PericarpiumCitriReticulatae”. The drug association rules that the confidence was more than once were “Radix PaeoniaeRubra - Radix Paeoniae Alba”, “OsDraconis - Concha Ostreae”, “Radix AngelicaeSinensis,RadixPaeoniaeRubra - Radix Paeoniae Alba”, and “Radix PaeoniaeRubra, HerbaTaxilli - Radix Paeoniae Alba”, and so on.Conclusions The drugs in the prescriptions containing Radix Paeoniae Alba that built by Pro. Yan mostly had the effects of enriching the blood and invigorating the circulation of blood, relieve uneasiness of mind and body tranquilization, which reflected the clearly thought when constructing prescriptions.

Objective To analyze the experience of Yang Boliang for the treatment of dysentery. Methods The prescriptions for dysentery that used by Yang Boliang were collected to build a database, and analyzed by the unsupervised data mining methods, such as apriori algorithm, entropy Clustering complex systems. Results Based on the analysis of 35 prescriptions, the most frequently used drug, the core drug combinations and the new prescriptions were mined from the database. The most frequently used drugs were tuckahoe, rhizoma pinellinae praeparata, and roasted radix puerariae. The core drug combinations were“tuckahoe- radix scutellariae-moutan bark”, “plantago seed-rhizoma pinellinae praeparata-maticated leaven”, and “charred radix aucklandiae-charred radix etrhizoma rhei-waterlily leaf”, etc. The new prescriptions were such as “plantago seed-rhizoma pinellinae praeparata-maticated leaven-charred radix rehmanniae recen-processed rhizoma Cyperi”. Conclusion Yang Boliang was well experienced in treating dysentery by using the drugs with clearing heat, and drying dampness, and clearing dampness by promoting diuresis.

Objective To analyze the composing experience of Menghe physician Ma Peizhi for cough by TCM inheritance support system. Methods The prescriptions for cough of Ma Peizhi were collected, frequency and association of drugs were analyzed by using data mining methods such as revised mutual information, complex system entropy cluster and unsupervised hierarchical cluster. Results Based on the analysis of 57 prescriptions, the frequency of each herb and association rules among the herbs were computed, 18 core combinations and 9 new prescriptions were mined from the database. Conclusion Menghe physicians Ma Peizhi is well experienced in expelling wind and opening the inhibited lung, dissolving phlegm and relieving cough. TCM inheritance support system can be used to analyze clinical experience of old TCM doctor.

Objeetive To analyze the experiences for impediment syndrome of Ma Peizhi of Menghe Medical Genre by using traditional Chinese medicine (TCM) inheritance support system.Method The prescriptions for impediment syndrome of Ma Peizhi were collected and inputted to TCM inheritance support system,from which we can get the frequency of drug usage and the relationship between drugs based on the association rules and clustering algorithm.Results In the 61 prescriptions,the drugs that used most frequently were Chinese Angelica,Largeleaf Gentian Root,and Twotoothed Aehyranthes Root,and the drug combinations that used most frequently were Largeleaf Gentian Root-Chinese Angelica,Chinese Angelica-Largeleaf Gentian Root,Chinese Angelica-Mulberry Twig.And there were also 26 core combinations and 13 new prescriptions mined from the database.Conclusion Ma Peizhi of Menghe Medical Genre was well experienced impediment syndrome by dispelling wind and removing dampness,and promoting blood circulation by removing blood stasis,from which we can make a conclusion that TCM inheritance support system can be used to analyze the doctors' clinical experiences.

Objective To analyze the experience of Yang Boliang for the treatment of exogenous diseases. Methods The prescriptions for exogenous diseases that used by Yang Boliang were collected to build a database, and analyzed by the unsupervised data mining methods, such as apriori algorithm, entropy Clustering complex systems. Results The most frequently used drugs were tuckahoe, stir-baked fructus gardenia, rhizoma pinellinae praeparata, radix curcumae, radix scutellariae, tetrapanacis medulla, poria cocos, caulis bambusae in taenian, lobster sauce, bitter almond, poria with hostood, fructus forsythiae and so on. The core drug combinations were “fructus forsythia- burdock- lobster sauce”, “semen sojae germinatum- radix liquiritiae-talcum- poria with hostood”, “bitter almond- balloon flower- mulberry leaf”, and so on. Conclusion Yang Boliang treated exogenous diseases by using the drugs with relieving superficies by cooling, dispelling dampness and promoting dieresis.

Objective To explore the medication rules of State Medical MasterYan Zhenghua. Methods The prescriptions including Angelicae Sinensis Radix that built by Pro. Yan were collected to build a database based on Traditional Chinese Medicine (TCM) inheritance assist system(V2.0.1). After analyzed by the statistical reports module and the data analysis module which were from TCM inheritance assist system, and the methods of data-mining that including association rules and apriori algorithm, the frequency of single medicine, the frequency of drug combination, the association rules between drugs and core drug combinations which all were including Angelicae Sinensis Radix can be get from the database.Results The prescriptions including Angelicae Sinensis Radix were commonly used to treat stomach-ache, arthralgia syndrome, irregular menstruation and other syndromes. The highest frequency used drugs were Radix Paeoniae Rubra, Radix Paeoniae Alba, Radix Salviae Miltiorrhizae, Pericarpium Citri Reticulatae, Rhizoma Cyperi, and so on. The most frequency drug combinations were “Angelicae Sinensis Radix, Radix Paeoniae Rubra”, “Radix Paeoniae Alba, Angelicae Sinensis Radix”, and “Radix Salviae Miltiorrhizae, Angelicae Sinensis Radix”. The drug association rules that the confidence was more than 0.9 were “Fructus Jujubae-Angelicae Sinensis Radix”, “Fructus Amomi Villosi-Angelicae Sinensis Radix”, “Radix Codonopsis-Angelicae Sinensis Radix”, and “Os Draconis-Concha Ostreae”, and so on.Conclusion The drugs in the prescriptions containing Angelicae Sinensis Radix that built by Pro. Yan mostly had the effects of cooling blood, replenishing blood, and promoting blood circulation for removing blood stasis, which reflected the clear thought when making prescriptions.

Objective To explore the medication rules of state medical master Yan Zhenghua from the prescriptions. Methods After analyzed by the statistical report module and the data analysis module, the method of data-mining that including association rules and apriori algorithm was used to analyze the frequency of Poria and drug combination, the association rules between drugs and core drug combinations in Pro. Yan’s prescriptions via a database based on Traditional Chinese Medicine (TCM) inheritance assist system. Results The prescriptions containing Poria were commonly used to treat vertigo, stomachache, diarrhea and other syndromes. The highest frequently used drugs were Pericarpium Citri Reticulatae, Radix Paeoniae Rubra, Radix Salviae Miltiorrhizae, Parched Semen Ziziphi Spinosae, and Caulis Polygoni Multiflori. The most frequently used drug combinations were “Pericarpium Citri Reticulatae, Poria”, “Radix Salviae Miltiorrhizae, Poria”, and“Poria, Parched Semen Ziziphi Spinosae”. The drug association rules that the confidence coefficient was more than 0.9 were “Carina→Oyster”, “Poria, Carina→Oyster”,“Oyster, Caulis Polygoni Multiflori→Carina”, and“Rhizoma Atractylodis Macrocephalae→Poria”. Conclusion The drugs in the prescriptions containing Poria that built by Pro. Yan mostly had the effects of regulating the flow of qi, relieving uneasiness of body and mind, and cooling the blood, which reflected the clearly thought when Pro. Yan made the prescriptions.

Objective To analyze the principle of the drug use ofMenghe PhysiciansMa-Peizhi by using the Traditional Chinese Medicine(TCM)inheritance support system.Methods The prescriptions for the commonly encountered diseases that used byMa-Peizhi were collected to build a database, and analyze by the unsupervised data mining methods, such as apriori algorithm, entropy clustering complex systems, from which we could get the frequency of the drugs, the association rules between drugs, the core drug combinations, and so on.Results Based on the analysis of 745 prescriptions, the most frequently used drugs were tuckahoe, chiretta, paenoiae alba, dried orangepeel and dioscoreae. The core drug combinations were “radix rehmanniae recen- salivia chinensis-ophiopogon root”, “teasel root-viscum album-achyranthes”, “menispermaceae-heracleum hemsleyanum michaux-gentiana macrophylla”, and “mulberry leaf-periostracum cicadae-the root of balloon flower”. The new prescriptions were “mulberry leaf-viter rotundifolia-batryticated silkworm-periostracum cicadae-the root of balloon flower”, “teasel root-viscum album- achyranthes- ramulus mori- periplocae”, and so on.ConclusionMenghe PhysiciansMa-Peizhi was well experienced in treating the commonly encountered diseases by agile diagnosis and treatment, and addition or subtraction of changes based on the classical prescriptions.

Objective: To explore the relationship between physical exercise and parenting styles, and psychological resilience among college students, in order to provide guidance for improving college students physical exercise status. Methods: From September 10, 2022 to January 6, 2023, 1 227 students from three comprehensive universities in Jinan were selected for investigation using a stratified random sampling and convenient sampling method. Physical exercise was assessed using the Physical Activity Rating Scale, parenting style was evaluated with the short-Egna Minnen av Barndoms Uppfostran for Chinese (s-EMBU-C), and psychological resilience was measured by the Resilience Scale for Chinese Adolescents (RSCA). The influence of parenting style and psychological resilience on physical exercise was explored by Pearson correlation analysis, linear and Logistic regression analysis. Results: A total of 815 (66.42%) engaged in lowintensity exercise, 308 (25.10%) in moderateintensity exercise, and 104 (8.48%) in highintensity exercise. The total score on the Physical Activity Rating Scale was (22.15±0.72). Logistic regression analysis showed that gender (OR=1.58, 95%CI=1.07-2.33) and whether the student was a sports specialist (OR=1.61, 95%CI=1.17-2.22) were the related factors for college students physical exercise classification(P<0.05). Linear regression analysis showed that emotional warmth dimensions of the s-EMBU-C (mother version and father version), the total score of s-EMBU-C(mother version), positive cognition, emotional control and the total score of RSCA all affected the physical activity level of college students (β=0.29, 0.20, 0.26, 0.32, 0.15, 0.20, P<0.05). Conclusions College students physical exercise behavior is closely related to gender, sports specialization, parenting styles, and psychological resilience. Colleges and universities can promote changes in physical exercise behavior among college students through joint parental supervision and psychological counseling.