Wokół rekodyfikacji prawa cywilnego. Prace jubileuszowe

Praca recenzowana / Peer-reviewed paperPrezentowana książka to głos w debacie nad stanem naszej kodyfikacji cywilnej. Jubileusz 50-lecia uchwalenia Kodeksu cywilnego, Kodeksu rodzinnego i opiekuńczego oraz Kodeksu postępowania cywilnego zbiega się z jubileuszem Profesora Janusza Szwai1. Profesor, wybitny cywilista, obchodzi swoje 80. urodziny, mija także 50 lat od obrony przez Niego doktoratu. Jest to doskonała okazja by przyjrzeć się propozycjom zmian prawa cywilnego płynących z różnych środowisk akademickich. Wszak dużą część swojego życia Profesor Szwaja poświęcił pracom legislacyjnym, ich komentowaniu czy krytykowaniu. Sam aktywnie w zmianach różnych kodyfikacji uczestniczył. Jego poglądy zawsze były wyważone. Dziś właśnie taki wyważony głos w dyskusji nad kształtem polskiego prawa cywilnego stał się niezbędny

Towards Rational Biosurfactant Design—Predicting Solubilization in Rhamnolipid Solutions

The efficiency of micellar solubilization is dictated inter alia by the properties of the solubilizate, the type of surfactant, and environmental conditions of the process. We, therefore, hypothesized that using the descriptors of the aforementioned features we can predict the solubilization efficiency, expressed as molar solubilization ratio (MSR). In other words, we aimed at creating a model to find the optimal surfactant and environmental conditions in order to solubilize the substance of interest (oil, drug, etc.). We focused specifically on the solubilization in biosurfactant solutions. We collected data from literature covering the last 38 years and supplemented them with our experimental data for different biosurfactant preparations. Evolutionary algorithm (EA) and kernel support vector machines (KSVM) were used to create predictive relationships. The descriptors of biosurfactant (logPBS, measure of purity), solubilizate (logPsol, molecular volume), and descriptors of conditions of the measurement (T and pH) were used for modelling. We have shown that the MSR can be successfully predicted using EAs, with a mean R2val of 0.773 ± 0.052. The parameters influencing the solubilization efficiency were ranked upon their significance. This represents the first attempt in literature to predict the MSR with the MSR calculator delivered as a result of our research

Towards Rational Biosurfactant Design—Predicting Solubilization in Rhamnolipid Solutions

The efficiency of micellar solubilization is dictated inter alia by the properties of the solubilizate, the type of surfactant, and environmental conditions of the process. We, therefore, hypothesized that using the descriptors of the aforementioned features we can predict the solubilization efficiency, expressed as molar solubilization ratio (MSR). In other words, we aimed at creating a model to find the optimal surfactant and environmental conditions in order to solubilize the substance of interest (oil, drug, etc.). We focused specifically on the solubilization in biosurfactant solutions. We collected data from literature covering the last 38 years and supplemented them with our experimental data for different biosurfactant preparations. Evolutionary algorithm (EA) and kernel support vector machines (KSVM) were used to create predictive relationships. The descriptors of biosurfactant (logPBS, measure of purity), solubilizate (logPsol, molecular volume), and descriptors of conditions of the measurement (T and pH) were used for modelling. We have shown that the MSR can be successfully predicted using EAs, with a mean R2val of 0.773 ± 0.052. The parameters influencing the solubilization efficiency were ranked upon their significance. This represents the first attempt in literature to predict the MSR with the MSR calculator delivered as a result of our research