Carbon emission trading and equity markets in China: How liquidity is impacting carbon returns?

This paper aims to investigate the impact of liquidity on the return dynamics between the carbon emission trading market and the stock market in China from 2013 to 2021. In the carbon emission trading market, we find that liquidity on any given day can significantly predict the cross-section returns the next day. Furthermore, we examine the spillover effect between the two markets and find the carbon market has a greater impact on the stock market. We also find evidence that stock market liquidity can significantly improve the liquidity of the carbon market. Finally, we observe that the volatility in the stock market not only deteriorates the liquidity of the stock market but also the carbon market, where the impact for the latter is from decreasing trading volume and increasing prices

The Effect of Transportation Benefits on Health and Consumption Among the Elderly: Quasi-Experimental Evidence from Urban China

Open House, ISM in Tachikawa, 2018.6.15統計数理研究所オープンハウス（立川）、H30.6.15ポスター発

The Role of Management in Increasing Students’ Satisfaction: Investigating Culture, Price and Reputation of Universities of Pakistan

Title: this research paper investigates the role of university management in increasing students’ satisfaction by checking the role of culture, price and reputation of universities of Pakistan. Management qualities of a university plays an important role in the development of students’ satisfaction, and directly or indirectly influences their satisfaction level. It is argued that university management should focus on culture development and lowering down tution price to increase satisfaction level and reputation of the university. This study made use of 5-point Likert scale questionnaire to find out the management quality factors. A total of 150 students from different universities were investigated through this questionnaire. SPSS 21 software was used for the investigation through regression and correlation analysis. Convenience sampling method was used, due to lack of time and resources for approaching the respondents. Only the university respondents were inquired to find out their satisfaction level. The results obtained were segmented into six hypothesis. Five hypothesis were accepted. It was found that students were not satisfied with management quality and culture of their universities. While correlation between management quality and students’ satisfaction was found positive. The students are not happy with service timing and its quality provided by the university management. The relationship between university reputation and management quality through correlation was found to be negative. Tution fee of the investigated universities is very high, which is also a reason students’ do not like service quality even after paying high fees

Finding the optimal design of a passive microfluidic mixer.

The ability to thoroughly mix two fluids is a fundamental need in microfluidics. While a variety of different microfluidic mixers have been designed by researchers, it remains unknown which (if any) of these mixers are optimal (that is, which designs provide the most thorough mixing with the smallest possible fluidic resistance across the mixer). In this work, we automatically designed and rationally optimized a microfluidic mixer. We accomplished this by first generating a library of thousands of different randomly designed mixers, then using the non-dominated sorting genetic algorithm II (NSGA-II) to optimize the random chips in order to achieve Pareto efficiency. Pareto efficiency is a state of allocation of resources (e.g. driving force) from which it is impossible to reallocate so as to make any one individual criterion better off (e.g. pressure drop) without making at least one individual criterion (e.g. mixing performance) worse off. After 200 generations of evolution, Pareto efficiency was achieved and the Pareto-optimal front was found. We examined designs at the Pareto-optimal front and found several design criteria that enhance the mixing performance of a mixer while minimizing its fluidic resistance; these observations provide new criteria on how to design optimal microfluidic mixers. Additionally, we compared the designs from NSGA-II with some popular microfluidic mixer designs from the literature and found that designs from NSGA-II have lower fluidic resistance with similar mixing performance. As a proof of concept, we fabricated three mixer designs from 200 generations of evolution and one conventional popular mixer design and tested the performance of these four mixers. Using this approach, an optimal design of a passive microfluidic mixer is found and the criteria of designing a passive microfluidic mixer are established

Fiber bundle imaging resolution enhancement using deep learning

We propose a deep learning based method to estimate high-resolution images from multiple fiber bundle images. Our approach first aligns raw fiber bundle image sequences with a motion estimation neural network and then applies a 3D convolution neural network to learn a mapping from aligned fiber bundle image sequences to their ground truth images. Evaluations on lens tissue samples and a 1951 USAF resolution target suggest that our proposed method can significantly improve spatial resolution for fiber bundle imaging systems.National Institute of Biomedical Imaging and Bioengineering (NIBIB) [R21EB022378]Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]