본 연구는 사다리형 폴리실세스퀴옥산 구조에 CO2 친화적인 polyethylene oxide (PEO) 기를 도입하여 우수한 CO2 선택성을 지닌 분리막을 성공적으로 개발하였다. 보다 구체적으로, 세 가지 copolymer 비율 (즉, 40/60, 60/40, 80/20 mol/mol)로 poly(methoxy(polyethyleneoxy) propyl-co-methacryloxypropyl) silsesquioxane을 합성하였고, UV 광경화를 통하여 기계적으로 안정한 분리막을 제조하였다. 이중의 단단한 실록산 백본에 PEO를 공유결합 시킴으로써, PEO의 결정화를 효과적으로 억제하였고, 단일가스와 혼합가스 조건 모두 매우 우수한 CO2/H2 그리고 CO2/N2 분리성능을 지님을 증명하였다.

Ti and Ti alloys have been extensively used in the medical and dental fields because of their good corrosion resistance, high strength to density ratio and especially, their low elastic modulus compared to other metallic materials. Recent trends in biomaterials research have focused on development of metallic alloys with elastic modulus similar to natural bone, however, many candidate materials also contain toxic elements that would be biologically harmful. In this study, new Ti based alloys which do not contain the toxic metallic components were developed using a theoretical method (DV-Xα). In addition, alloys were developed with improved mechanical properties and corrosion resistance. Ternary Ti-Ag-Zr alloys consisting of biocompatible alloying elements were produced to investigate the alloying effect on microstructure, corrosion resistance, mechanical properties and biocompatibility. The effects of various contents of Zr on the mechanical properties and biocompatibility were compared. The alloys exhibited higher strength and corrosion resistance than pure Ti, had antibacterial properties, and were not observed to be cytotoxic. Of the designed alloys' mechanical properties and biocompatibility, the Ti-3Ag-0.5Zr alloy had the best results.

Seeking to improve the weak resolution of deeper divergences in an initial study based on five nuclear genes (6.6kb total) in 123 exemplars, we nearly tripled the total sequence (to 26 genes, 18.4 kb total) in one third (41) of the taxa. The expanded, deliberately incomplete data matrix consistently increased bootstrap support for previously-identified groupings, while introducing no contradictory groupings of the kind that missing data have been predicted to produce. To test the relative effectiveness of “more genes” versus “more taxa” sind that we compared two largely complete matrices, the initial 5 gene × 123 taxon and the 26 gene × 41 taxon data sets, that contain roughly equal amounts of sequence. The “more genes” data set yielded consistently, sometimes dramatically higher bootstrap support that is generally not attributable to taxon number alone. We also found that a gene-rich taxon subset provides reassuring evidence of strong underlying signal that is not obvious in subsequent larger analyses, helping to encourage and guide the search for deep relationships amid the noise of expanded taxon sampling.