Periodicity and Invertibility of Lattice Gas Cellular Automata

A cellular automaton is a type of mathematical system that models the behavior of a set of cells with discrete values in progressing time steps. The often complicated behaviors of cellular automata are studied in computer science, mathematics, biology, and other science related fields. Lattice gas cellular automata are used to simulate the movements of particles. This thesis aims to discuss the properties of lattice gas models, including periodicity and invertibility, and to examine their accuracy in reflecting the physics of particles in real life. Analysis of elementary cellular automata is presented to introduce the concept of cellular automata and construct foundations for the analysis of properties of lattice gas

Twitter Application to Chinese Language Learning: Lessons and Suggestions

Making a connection between the requirement of 140 characters and the need of intermediate-low learners of Chinese as a second language (CSL) to produce output in a less challenging environment, this action research engaged the college CSL students in tweeting practices. Based on the descriptive statistics of the students’ tweeting behavior and the students’ responses to the survey administered at the end of the semester, this article reflects and summarizes the lessons learned. The authors propose that structural designs in the form of projects or tasks should still be considered for social networking applications such as Twitter to be used as an educational tool. How to make better use of the social-networking aspect of Twitter and build a community of CSL learners and practitioners is also discussed

Artemesia annua extract prevents glyoxal-induced cell injury in retinal microvascular endothelial cells during glaucoma

Purpose: To investigate the effect of Artemesia annua extract on glyoxal-induced injury in retinal microvascular endothelial cells (HRECs).Methods: HRECs were cultured in a medium containing 500 μM glyoxal or glyoxal plus 50μM Artemesia annua extract, or in the medium alone for 24 h. Apoptosis was analysed by flow cytometry using annexin V and propidium iodide staining. Changes in mitochondrial membrane potential were determined by JC-1 staining.Results: When HRECs were cultured in a medium of 500 μM glyoxal, a significant (p < 0.05) decrease in caspase-3 expression was observed. However, treatment of HRECs with Artemesia annua extract (50 μM) inhibited the glyoxal-mediated decrease in caspase-3 expression. The extract also inhibited caspase-3 proteolysis, as was evident from the reduction in the level of cleaved caspase-3. Upregulation of ROS production by glyoxal in HRECs was inhibited by treatment with the extract. The viability of HRECs was significantly decreased by glyoxal (p < 0.05), but the decrease in viability was significantly reversed by Artemesia annua extract (p < 0.05). The extract also reduced gyloxal-induced apoptosis in HRECs from 17.3 to 2.6 % (p < 0.001). Results from JC-1 staining showed significantly (p < 0.001) higher level of green fluorescence in HRECs cultured with glyoxal. However, the glyoxal-induced increase in green fluorescence level was significantly (p < 0.01) reduced on exposure to Artemesia annua extract.Conclusion: Artemesia annua extract prevents oxidative damage to HRECs via inhibition of ROS production, up-regulation of caspase-3 expression and suppression of caspase-3 proteolysis. Therefore, Artemesia annua can potentially be used for the development of a new drug for the prevention of retinal injury in glaucoma.Keywords: Artemesia annua, Retinal injury, Glaucoma, Green fluorescence, cleaved caspase-3, ROS productio

Research on Influence Factors of Information Technology Enterprise\u27s Operating Performance

This paper uses grounded theory to interview a listed information technology company in Guangzhou, and establishes the influence factors model of information technology enterprise\u27s operating performance. The model concludes 17 key factors, including national policy, regional environment, market situation, strategy, execution, corporate values and leadership. The purpose of research is to help listed information technology enterprises improve their operating performance

Attention allocation, factor stock adjustment, and high-quality product development

The manufacturing industry is the foundation for building and strengthening a country. Micro-manufacturing enterprises are the basis for the development of manufacturing, and products are the core and life of enterprises. Based on micro data from industrial enterprises, this study conducts a statistical measurement on the indicators of high-quality product development. Taking the Baidu Index as the proxy variable for attention allocation, the influence of attention allocation on high-quality development of products is systematically examined both theoretically and empirically; Additionally, it seeks to ascertain whether factor stock adjustment has a mediating effect. The findings are as follows: 1. Within the full sample, 63.63% of the attention allocation process to promote high-quality development of products is achieved by optimizing the factor stock adjustment channels. 2. Capital stock and labor stock adjustment have a partial mediating effect on the high-quality development of products in capital-intensive industries, while labor stock adjustment has a partial mediating effect on labor-intensive industries. 3. The regional results show that the adjustment of capital and labor stock has a partial mediating effect in the eastern region. This conclusion provides a theoretical basis for realizing the high-quality development of China’s manufacturing industry

The Invention relates to a Tobacco Silk Big Data and AI Development Platform and its Application

In recent years, big data and AI technology has been widely used, and the traditional manufacturing industry has also obtained a huge space for technological transformation and upgrading. For tobacco silk production, due to its abundant sensors in the production line and high degree of automation, it has unique advantages in the application of big data and AI technology; At the same time, due to the complexity of its production process and technology, the application of big data and AI technology is facing challenges. Therefore, this paper designed a graphical silk making big data and AI development platform to accelerate the application of big data and AI technology in tobacco processing and manufacturing industry