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Objective:To explore whether the introduction of the O-PIRTAS (objective, preparation, instructive vedio, review, test, activity, summary) teaching model can help in curriculum learning and improve students' medical humanities literacy.Methods:Taking 118 sophomores of clinical medicine and nursing majors from Xiamen Medical College as control group, and 122 students as experimental group and as control group, the research lasting 8 weeks was carried out around five modules. The control group adopted the traditional teaching mode, while the experimental group used the O-PIRTAS model. After teaching, by comparing the exam results and issuing questionnaires, the teaching effects of the two methods on students' caring ability, empathy, emotional intelligence and supportive communication ability were compared. SPSS 22.0 was used for t test and chi-square test. Results:The average score of the experimental group [(83.61±2.13) points] was higher than that of the control group [(78.03±2.02) points], with significant differences ( t=3.60, P<0.001). As for the statistical analysis of the questionnaire, the students in experimental group scored higher in empathy, emotional intelligence and supportive communication skills than those in control group ( t=-3.20, P=0.002; t=-3.93, P<0.001; t=-4.00, P<0.001). Conclusion:Applying O-PIRTAS flipped classroom teaching model to medical humanities English courses helps to improve students' curriculum learning and medical humanities literacy, improve the effectiveness of the classroom and better play the educational role of the curriculum.
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Objective To probe the conditions of medical students' academic resilience and burnout and their relationship with each other,the paper aims to account for the reform of medical ESP teaching.Methods Revised versions of academic resilience scale and burnout Sscale were used to test 675 medical students and SPSS 16.0 was adopted to analyze the data by statistical description,t-test,F-test,correlation analysis and multiple regression analysis.Results 1) The general average score of academic resilience for medical ESP study was (2.67 ± 0.63),lower than the theoretical mean.A statistically significant difference was observed in gender (t=3.21,P＜0.05),and LSD test showed nursing majors＞pharmacy majors＞clinical majors (F--4.15,P＜0.05).2) The general average score of burnout was (3.33 ± 0.73),higher than the theoretical mean.A statistically significant difference was observed in gender (t=-4.40,P＜0.01).LSD test showd clinical majors＞pharmacy majors＞nursing majors (F=4.05,P＜0.05).3) There is a significant negative correlation between academic resilience,academic burnout and its factors.The academic resilience and the factors (self-efficacy,academic persistence,self-acceptance,perceiving support and society support) can predict the burnout in the negative way (F=21.85,P＜0.01).Conclusions Medical students have lower level of academic resilience and higher burnout in ESP study.The medical ESP teaching should set out from the students'need,pay attention to classified and level-based cultivation to improve academic resilience while reducing burnout by enhancing self-efficacy and persistence as well as positively seeking the support of the society.
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Currently there is no successful platform technology for the sustained release of protein drugs. It seems inevitable to specifically develop new materials for such purpose, and hence the understanding of protein-material interactions is highly desirable. In this study, we synthesized cholesterol-grafted polyglutamate (PGA--Chol) as a hydrophobically-modified polypeptide, and thoroughly characterized its interaction with a model protein (human serum albumin) in the aqueous solution by using circular dichroism, fluorescence methods, and light scattering. With the protein concentration fixed at 5 μmol/L, adding PGA--Chol polymers into the solution resulted in continuous blue shift of the protein fluorescence (from 339 to 332 nm), until the polymer molar concentration reached the same value as the protein. In contrast, the un-modified polyglutamate polymers apparently neither affected the protein microenvironment nor formed aggregates. Based on the experimental data, we proposed a physical picture for such protein-polymer systems, where the polymer first bind with the protein in a 1:1 molar ratio a fraction of their hydrophobic pendant cholesterol resides along the polymer chain. In this protein/polymer complex, there are excess unbound cholesterol residues. As the polymer concentration increases, the polymers form multi-polymer aggregates around 200 nm in diameter the same hydrophobic cholesterol residues. The protein/polymer complex also participate in the aggregation their excess cholesterol residues, and consequently the proteins are encapsulated into the nanoparticles. The encapsulation was also found to increase the thermal stability of the model protein.
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The solid dispersion has become an established solubilization technology for poorly water soluble drugs. Since a solid dispersion is basically a drug-polymer two-component system, the drug-polymer interaction is the determining factor in its design and performance. In this review, we summarize our current understanding of solid dispersions both in the solid state and in dissolution, emphasizing the fundamental aspects of this important technology.
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Objective:To probe into the mechanism of Shenshuai Capsule in delaying advance of chronic renal failure(CRF)and against interstitial renal fibrosis.Methods:74 cases of CRF at decompensation phase were randomly divided into a treatment group and a control group.Changes of their serum urea nitrogen(BUN),creatinie(SCr),endogenous creatinine clearance rate(Ccr),collegen Ⅳ (Col Ⅳ),procollagen Ⅲ(PC Ⅲ),laminin(LN),and improvement of urinary protein(uPro),urinary ?_2-microglobulin(?_2-MG)and clinical symptoms and signs were observed.Results:After treatment of Shenshuai Capsule,BUN,SCr,Col Ⅳ,PC Ⅲ,LN,urinary protein and ?_2-MG decreased and Ccr increased in the treatment group,with a significant differences between the two group in the above mentioned indexes except LN(P