Magnetic properties of spin-1/2 Fermi gases with ferromagnetic interaction

We investigate the magnetic properties of spin-$1/2$ charged Fermi gases with ferromagnetic coupling via mean-field theory, and find the interplay among the paramagnetism, diamagnetism and ferromagnetism. Paramagnetism and diamagnetism compete with each other. When increasing the ferromagnetic coupling the spontaneous magnetization occurs in a weak magnetic field. The critical ferromagnetic coupling constant of the paramagnetic phase to ferromagnetic phase transition increases linearly with the temperature. Both the paramagnetism and diamagnetism increase when the magnetic field increases. It reveals the magnetization density $\bar M$ increases firstly as the temperature increases, and then reaches a maximum. Finally the magnetization density $\bar M$ decreases smoothly in the high temperature region. The domed shape of the magnetization density $\bar M$ variation is different from the behavior of Bose gas with ferromagnetic coupling. We also find the curve of susceptibility follows the Curie-Weiss law, and for a given temperature the susceptibility is directly proportional to the Land\'{e} factor.Comment: 7 pages, 7 figure

La transformation du tissu urbain des villes chinoises et la conservation du centre historique : Cas du Vieux-Shanghai

Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal

Discovering Researcher Identity through Action Research – A Transformative Journey across Two Cultures

Having been introduced to Action Research in my home country of China, I was awarded substantial funding to study in the UK, and use knowledge gained to the benefit of my university. Whilst in England, I was inspired by the rich array of research methodologies that were used in academic research, and was excited about the possibilities of presenting new ideas to my colleagues. As a consequence, the initial question guiding my doctoral research was to investigate how I could transform the research culture of my home university, using Action Research as the methodology. Unfortunately, due to factors beyond my control, I was not able to continue with that initial plan, and it appeared that my research project had collapsed. However, Action Research is about learning from failure as much as from success, and from the apparent wreckage, new possibilities arose. Introducing autoethnography as a method, I engaged in a narrative account of my experience, which included an extensive revisiting and analysis of the factors that had led to my present position. In the process, I discovered that, throughout the enquiry, my identity as a researcher had been evolving, the nature of which was influenced by transformative learning experiences, both personal and professional, across two very different cultures in the UK and China. As a consequence of these experiences, and the opportunity to explore them through the lens of Action Research, I have been able to establish a theoretical and experiential understanding of what it means to develop an identity as a researcher. At the core of this understanding is a transformed epistemology of how ‘research’ can be constructed. My contribution to knowledge is this new understanding of the relationship between doing ‘research’, researcher identity, and the ways in which knowledge is constructed in personal and professional research contexts

A new model-based approach for power plant Tube-ball mill condition monitoring and fault detection

AbstractWith the fast growth in intermittent renewable power generation, unprecedented demands for power plant operation flexibility have posed new challenges to the ageing conventional power plants in the UK. Adding biomass to coal for co-fired power generation has become widely implemented practices in order to meet the emission regulation targets. These have impacted the coal mill and power plant operation safety and reliability. The Vertical Spindle mill model was developed through the authors’ work before 2007. From then, the new research progress has been made in modelling and condition monitoring for Tube-ball mills and is reported in the paper. A mathematical model for Tube-ball milling process is developed by applying engineering principles combined with model unknown parameter identifications using a computational intelligent algorithm. The model describes the whole milling process from the mill idle status, start-up to normal grinding and shut-down. The model is verified using on-site measurement data and on-line test. The on-line model is used for mill condition monitoring in two ways: (i) to compare the predicted and measured mill output pressure and temperatures and to raise alarms if there are big discrepancies; and (ii) to monitor the mill model parameter variation patterns which detect the potential faults and mill malfunctions

Vision Sensor based Action Recognition for Improving Efficiency and Quality under the Environment of Industry 4.0

In the environment of industry 4.0, human beings are still an important influencing factor of efficiency and quality which are the core of product life cycle management. Hence, monitoring and analyzing humans\u27 actions are essential. This paper proposes a vision sensor based method to evaluate the accuracy of operators\u27 actions. Each action of operators is recognized in real time by a Convolutional Neural Network (CNN) based classification model in which hierarchical clustering is introduced to minimize the effects of action uncertainty. Warnings are triggered when incorrect actions occur in real time and applications of action analysis of workers on a reducer assembling line show the effectiveness of the proposed method. The research is expected to provide a guidance for operators to correct their actions to reduce the cost of quality defects and improve the efficiency of workforce

The Function of Fucosylation in Progression of Lung Cancer

Lung cancer is a disease that influences human health and has become a leading cause of cancer mortality worldwide. However, it is frequently diagnosed at the advanced stage. It is necessary by means of biology to identify specific lung tumor biomarkers with high sensitivity. Glycosylation is one of the most important post-translational modifications and is related to many different diseases. It is involved in numerous essential biological processes, such as cell proliferation, differentiation, migration, cell-cell integrity and recognition, and immune modulation. However, little was known about deregulation of glycosylation in lung cancer and contribution to tumor–microenvironment interactions. Among the numerous glycosylations, fucosylation is the most common modification of glycoproteins and glycosylated oligosaccharides. Increased levels of fucosylation have been detected in various pathological conditions, as well as in lung cancer. In this article, we reviewed the role of fucosylation in lung cancer. We highlighted some of the fucosylation alterations currently being pursued in sera or tissues of lung cancer patients. Moreover, we elaborated on the regulation mechanism of fucosylation in proliferative invasion and metastasis of lung tumor cells. In summary, alterations in fucosylation provide potential biomarkers and therapeutic targets in lung cancer