To Give Chinese Children "a Memorable China":the Trend of Chinese Indigenous Picture Books

To investigate if drug solubility in pharmaceutical excipients used in lipid based formulations (LBFs) can be predicted from physicochemical properties. Solubility was measured for 30 structurally diverse drug molecules in soybean oil (SBO, long-chain triglyceride; TG(LC)), Captex355 (medium-chain triglyceride; TG(MC)), polysorbate 80 (PS80; surfactant) and PEG400 co-solvent and used as responses during PLS model development. Melting point and calculated molecular descriptors were used as variables and the PLS models were validated with test sets and permutation tests. Solvation capacity of SBO and Captex355 was equal on a mol per mol scale (R (2) = 0.98). A strong correlation was also found between PS80 and PEG400 (R (2) = 0.85), identifying the significant contribution of the ethoxylation for the solvation capacity of PS80. In silico models based on calculated descriptors were successfully developed for drug solubility in SBO (R (2) = 0.81, Q (2) = 0.76) and Captex355 (R (2) = 0.84, Q (2) = 0.80). However, solubility in PS80 and PEG400 were not possible to quantitatively predict from molecular structure. Solubility measured in one excipient can be used to predict solubility in another, herein exemplified with TG(MC) versus TG(LC), and PS80 versus PEG400. We also show, for the first time, that solubility in TG(MC) and TG(LC) can be predicted from rapidly calculated molecular descriptors

Models for Predicting Drug Absorption From Oral Lipid-Based Formulations

In this review, we describe the in vitro tools currently used to identify when a lipid-based formulation has the potential to deliver a poorly water-soluble drug via the oral route. We describe the extent to which these tools reflect the in vivo performance of the formulation and, more importantly, we present strategies that we foresee will improve the in vitro-in vivo correlations. We also present emerging computational methods that are likely to allow large parts of the formulation development to be carried out in the computer rather than in the test tube. We suggest that these computational tools will also improve the mechanistic understanding of in vivo formulation performance in the complex and dynamic environment of the gut

Conserve my village:Finnish, Norwegian and Swedish students’ valued landscapes and well-being

Abstract In the context of landscape, both the natural environment and the built environment can be linked with human health and well-being. This connection has been studied among adults, but no research has been conducted on young people. To fill this gap, this case study aimed to elucidate students’ views on landscapes worth conserving and the landscapes that affect and support their well-being. The participants (n = 538) were Finnish, Norwegian and Swedish students from grades 3–6. The students drew the landscapes they wanted to conserve. The drawn landscapes and the welfare-supporting features they contained were analysed using inductive and abductive content analyses. The students from all three countries preferred water, forest and yard landscapes. In the drawings of natural landscapes, the most recurring themes were sunrise or sunset, forest, beach and mountain landscapes. Physical well-being was manifested in the opportunity to jog and walk. Social well-being was reflected in the presence of friends, relatives and animals. Therapeutically important well-being-related spaces—the so-called green (natural areas), blue (aquatic environments) and white (e.g., snow) areas—were also depicted in the participants’ drawings. It can be concluded that the drawn landscapes reflect several values that promote students’ well-being

Computational Prediction of Drug Solubility in Lipid Based Formulation Excipients

To investigate if drug solubility in pharmaceutical excipients used in lipid based formulations (LBFs) can be predicted from physicochemical properties. Solubility was measured for 30 structurally diverse drug molecules in soybean oil (SBO, long-chain triglyceride; TG(LC)), Captex355 (medium-chain triglyceride; TG(MC)), polysorbate 80 (PS80; surfactant) and PEG400 co-solvent and used as responses during PLS model development. Melting point and calculated molecular descriptors were used as variables and the PLS models were validated with test sets and permutation tests. Solvation capacity of SBO and Captex355 was equal on a mol per mol scale (R (2) = 0.98). A strong correlation was also found between PS80 and PEG400 (R (2) = 0.85), identifying the significant contribution of the ethoxylation for the solvation capacity of PS80. In silico models based on calculated descriptors were successfully developed for drug solubility in SBO (R (2) = 0.81, Q (2) = 0.76) and Captex355 (R (2) = 0.84, Q (2) = 0.80). However, solubility in PS80 and PEG400 were not possible to quantitatively predict from molecular structure. Solubility measured in one excipient can be used to predict solubility in another, herein exemplified with TG(MC) versus TG(LC), and PS80 versus PEG400. We also show, for the first time, that solubility in TG(MC) and TG(LC) can be predicted from rapidly calculated molecular descriptors

Nordic student teachers’ views on the most efficient teaching and learning methods for species and species identification

Abstract Teachers need knowledge of species and species identification skills for teaching the structure and function of ecosystems, and the principles of biodiversity and its role in sustainability. The aim of this study is to analyze Nordic student teachers’ views on the most efficient methods and strategies to teach and learn species and species identification, and to find some trends about how well their views are reflected in a species identification test. Student teachers in Finland, Norway, and Sweden (N = 426) answered a questionnaire consisting of fixed and open-ended questions, and a species identification test. An analysis of variance, Chi-Square, and t-test were used for quantitative data and an inductive content analysis for qualitative data. Results showed that outdoor teaching and learning methods are more efficient than indoor methods. The majority of student teachers considered outdoor experiential learning with living organisms as the most efficient teaching and learning method. Student teachers who highlighted outdoor experiential learning and outdoor project work as their most efficient methods received significantly better results in the species identification test than the others. Field trips and fieldwork were emphasized as the most important sources in schools and universities, while the Internet was the most important source among media. The student teachers underlined teachers’ expertise in the form of in-depth understanding of subjects and supervising skills for efficient teaching both outdoors and indoors. Therefore, teaching and learning of species and species identification as the practical part of biodiversity and sustainability education is emphasized as an integral part of teacher education programs