This study investigated the mutual interaction between the plasma and plasma treated water (PTW). Many works have shown that the plasma treatment decreases the pH of PTW due to nitric oxide electrolyte ion but the interactions between PTW and the plasma are still largely unknown. We investigated the effect of PTW on a plasma as well as the effect of a plasma on PTW using a pin-to-liquid discharge system. It is found that PTW affects not only the chemical properties but also the physical properties of the plasma such as breakdown voltage and concentration of plasma column. The decrease of the liquid surface tension of PTW due to nitric oxide electrolyte ion from the plasma results in the increase of plasma current onto the surface of PTW and vice versa. The feedback process will be continued until the transition from normal discharge to abnormal discharge. These results can be basic data for the development of plasma sources to treat liquids.

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Objectives The purpose of this study is to identify the effectiveness of appreciative inquiry (AI) and how it can be applied to social welfare coursework. Ultimately, the present study aims to boost participatory learning, discover positive aspects of students, and enhance the capability of voluntary AI learning. Methods D University students (N = 34) participated in the 5-D model AI learning. Pre- and post-test was completed to evaluate the effectiveness of AI. Results The 5-D model (e.g., Define, Discovery, Dream, Design, and Desitny) with a single theme for each group appears to be the most desirable method for employing AI in social welfare coursework. Pre- and post-test reveals that the AI class effectiveness of individuals, teams, and team cooperation is augmented. Specifically, the individuals' positive psychological capital varaibles illustrate the highest (average .53 higher). Conclusions Results suggest that AI application in social welfare coursework may be effective for participatory learning and voluntary AI learning. To better implement AI in coursework, future research should consider developing systematic AI processes and objective evaluation tools based on the 5-D model, as well as exploring an action plan, a best practice, and positive questions corresponding to social welfare courses.

In this study, the effect of non-thermal atmospheric plasma (NTAP) treatment on the reduction of residual fludioxonil (C12H6F2N2O2, 4-(2,2-difluoro-1,3-benzodioxol-4-yl)-1H-pyrrole-3-carbonitrile) was investigated through experimental simulation. Fludioxonil is known for its high residual concentration on fruits and vegetables. To simulate residual fludioxonil reduction in the storage location prior to consumption of fruits or vegetables by consumers, we designed an experimental setup utilizing a gas distribution system and a cylindrical dielectric barrier discharge (DBD) plasma source. A cylindrical DBD plasma source was adopted to produce the plasma activated chemical species (O3). To evaluate the effect of plasma treatment on the reduction of residual fludioxonil, experiments were performed under three different conditions: varying concentrations and treatment times of O3, as well as the surface roughness of microscope slide glass. Based on the results, 10 min plasma treatment with an O3 concentration of 11.89 μL/L, which showed a 58.5% reduction rate, is recommended. The O3 concentration has a higher priority than the treatment time for reduction rates of residual fludioxonil.