基于带缺失PISA数据对中国学生科学素养的诊断分析

利用DINA模型(Deterministic inputs,noisy and gate model)对PISA2015中国学生科学素养数据进行建模,使用贝叶斯M CMC算法实现对缺失数据的自动填补和模型参数的估计.     

光敏剂在光动力治疗中的应用研究进展

光动力疗法（PDT）以其超高时空分辨率、非侵入性及低毒副作用的优点，被认为是治疗癌症和各种非恶性疾病的有效疗法之一。本文主要综述了几类光敏剂发展历史、主要结构、特点及研究进展，分析了高性能光敏剂的开发动态，包括化学修饰；与具有特定细胞受体的其他配体缀合成复合光敏剂；采取纳米技术，如纳米颗粒输送，基于富勒烯的光敏剂等。基于此，指出具有临床应用前景的高性能光敏剂的基本特征、设计原则及发展趋势。     

聚合物对旋流器内油滴聚结与分离效率的影响

为了研究聚合物对水力旋流器内油滴聚结与分离效率的影响规律,以螺旋导流内锥式旋流器为研究对象,利用群体平衡模型(PBM)方法对不合聚与含聚0.5‰工况下油水两相在旋流器内的速度场、黏度场、油滴聚结、运移特性及分离效率进行数值分析,并通过实验验证.结果 表明:聚合物的加入增大了水相黏度,使油滴在旋流器内最大停留时间与轴向运动距离增加,增加了油滴碰撞聚结的机会,但降低轴心处油滴向上运动的轴向速度,使油滴无法快速从溢流口流出,最终从底流口流出,增加油水分离的难度.与不合聚时相比,含聚0.5‰工况下,轴心处的油滴粒径与含油体积分数较高,但简化分离效率由99.79％降低至94.72％.通过马尔文粒度仪对两种工况下入口与出口的油滴粒径进行测试,含聚0.5‰时溢流与底流口油滴粒径高于不合聚时,验证了模拟的准确性.     

Changes in polyphenol fractions and bacterial composition after in vitrofermentation of apple peel polyphenol by gut microbiota

The changes in polyphenol fractions after in vitro fermentation of apple peel polyphenol (APP) by gut microbiota as well as the effects of APP on the growth, pH value, short-chain fatty acids (SCFAs) production and intestinal flora composition of gut microbiota fermentation were firstly explored in this study. The relative abundance of Lactobacillus in the APP group was 49.55% with an increment of 49.40% compared with the blank group, while that of Bifidobacterium was 13.32%. Moreover, the flora produced 37.093 ± 0.478 mM of SCFAs including acetic acid, propionic acid, butyric acid and valeric acid during the process of fermentation, thus reduced the environmental pH value. In addition, polyphenol fractions in APP were altered by gut microbiota fermentation to some extent, for example, glycosides were hydrolysed to aglycones. These findings suggested APP as a potential prebiotic agent to alleviate the disorder of intestinal flora.     

Investigation into adsorption equilibrium and thermodynamics for water vapor on montmorillonite clay

The isothermal adsorption curves for water vapor on montmorillonite were measured by a gravimetric adsorption system. Dent's model was employed to estimate the adsorption behaviors of water vapor on primary adsorption sites and secondary adsorption sites. The thermodynamics analysis of water vapor adsorption was performed. At low vapor pressure region, primary adsorption predominates, and with increasing vapor pressure, secondary adsorption becomes notable. Primary adsorption sites have an evidently stronger adsorption affinity than secondary adsorption sites. With increasing vapor pressure, Gibbs free energy variation rapidly increases and then reduces slowly. Although increasing vapor pressure raises adsorption spontaneity on primary adsorption sites, the enhancement in vapor pressure decreases the spontaneity of water vapor adsorption on secondary adsorption sites. As adsorbed loading increases, isosteric heat of adsorption and entropy loss decrease first and then increase quickly. The gradually growing water clusters are responsible for the increase of entropy loss at late stage.