Bismuth chromate (Cr2Bi3O11): A new bismuth-based semiconductor with excellent photocatalytic activity

A novel bismuth chromate material (Cr2Bi3O11) was synthesized by a direct mixing method with higher photocatalytic activity in both organic pollutants’ detoxification and oxygen evolution. Cr2Bi3O11 with a band gap...

Evaluation Method of IT English Blended Teaching Quality Based on the Data Mining Algorithm

As the mixed education model gradually becomes widespread in various universities in Japan, the evaluation of the quality of IT English mixed education has become a very important issue, and it is worth considering the corresponding evaluation method. In this paper, we use a data mining algorithm to implement an evaluation method for the interconversion of quantitative data and qualitative concepts and use the IT English mixed teaching model to evaluate and analyze the teaching quality of the course. The evaluation method is feasible and provides a mixing method. Evaluation of the quality of education. Reference method.

Optimized Cell Mixing Facilitates the Reproducible Bioprinting of Constructs with High Cell Viability

Bioprinting with cell-laden hydrogels (bioink) requires the careful mixing of cells with the hydrogel carrier to ensure that the bioink is homogeneous and functional, and the printing results are reproducible. Bioink preparation is therefore a critical process step that must accommodate the specific rheological properties of different bioinks. Here, we developed a reproducible method for the optimized mixing of cells and hydrogel carriers that can be integrated into current bioprinting processes. First, we tested and optimized different mixing devices for their effect on bioink homogeneity and rheological properties, resulting in a low-shear process for the preparation of homogenous bioinks. Based on these findings, we evaluated the impact of different cell densities on the rheological profile of bioinks according to shear and temperature, and estimated the impact of shear stress intensity and duration on 1.1B4 cells. Finally, we integrated the optimized mixing method into a current printing process and monitored the printed construct for 14 days to confirm cell viability. We found that the cell viability in the printed cell-laden constructs remained in excess of 91% after 14 days.

The Response of Class X IPA SMAN 3 Muaro Jambi Students to the Application of the Jigsaw-Type Cooperative Learning Model in Physics Learning

Generally, the learning model used in physics learning is the lecture learning model. The use of a suitable learning model can undoubtedly attract the interest and attention of students. The novelty of this research is the implementation or application of the jigsaw cooperative learning model to determine the students 'responses to the Jigsaw cooperative learning model. This study aims to describe the students' responses to the application of the jigsaw cooperative learning model in physics subjects. The method used is the mixing method (mixture). Quantitative data is obtained by collecting data in the form of a questionnaire. Qualitative data were obtained using an interview instrument sheet. The results showed that 65% (13 of 20 students) responded quite well, and 35% (7 of 20 students) responded well to applying the jigsaw cooperative learning model in physics lessons.

Evaluation of Discharging Surplus Soils for Relative Stirred Deep Mixing Methods by MPS-CAE Analysis

Most of the ground in Japan is soft, leading to great damage in the event of liquefaction. Various ground-improvement measures are being taken to suppress such damage. However, it is difficult to carry out ground-improvement work while checking the internal conditions of the ground during the construction. Therefore, a visible and measurable evaluation of the performance of the ground-improvement work was conducted in this study. The authors performed a simulation analysis of the relative stirred deep mixing method (RS-DMM), a kind of ground-improvement method, using a computer-aided engineering (CAE) analysis based on particle-based methods (PBMs). In the RS-DMM, the “displacement reduction type (DRT)” suppresses displacement during construction. Both the DRT and the normal type (NT) were simulated, and a visible and measurable evaluation was performed on the internal conditions during each construction, the quality of the improved body, and the displacement reduction performance. As an example of these results, it was possible to visually evaluate the discharge of surplus soil by the spiral rod attached to the stirring wing of the DRT. In addition, the authors succeeded in quantitatively showing that more surplus soil was discharged when the stirring wing of the DRT was used than when the stirring wing of the NT was used.