Brand Management is to Manage Consumer Cognition

This paper is to discuss how consumer cognition plays an important part in brand marketing strategy and process by creating the value recognition of a brand in the minds of consumers. And through dividing consumer cognition into four underlying elements, further analyze the internal mechanism of value chain and proposed three research paradigms of branding concept to manage customer cognition. Keywords: perceived value, consumer cognition, brand-concept paradigm, brand management DOI: 10.7176/EJBM/11-11-01 Publication date: April 30th 201

The study of agricultural non-point source pollution control policy system

As the agricultural non-point source pollution(ANPSP) has become the most significant threat for water environmental deterioration and lake eutrophication in China, more and more scientists and technologists are focusing on the control countermeasure and pollution mechanism of agricultural non-point source pollution. The unreasonable rural production structure and limited scientific management measures are the main reasons for acute ANSPS problems in China. At present, the problem for pollution control is a lack of specific regulations, which affects the government\u27s management efficiency. According to these characteristics and problems, this paper puts forward some corresponding policies. The status of the agricultural non-point source pollution of China is analyzed, and ANSPS prevention and control model is provided based on governance policy, environmental legislation, technical system and subsidy policy. At last, the case analysis of Qiandao Lake is given, and an economic policy is adopted based on its situation

Generative Cooperative Net for Image Generation and Data Augmentation

How to build a good model for image generation given an abstract concept is a fundamental problem in computer vision. In this paper, we explore a generative model for the task of generating unseen images with desired features. We propose the Generative Cooperative Net (GCN) for image generation. The idea is similar to generative adversarial networks except that the generators and discriminators are trained to work accordingly. Our experiments on hand-written digit generation and facial expression generation show that GCN's two cooperative counterparts (the generator and the classifier) can work together nicely and achieve promising results. We also discovered a usage of such generative model as an data-augmentation tool. Our experiment of applying this method on a recognition task shows that it is very effective comparing to other existing methods. It is easy to set up and could help generate a very large synthesized dataset.Comment: 12 pages, 8 figure

Quantum Mechanical/Molecular Mechanical Molecular Dynamics Simulations on Enzymes

The dynamic nature of proteins in solution is often an indispensable factor in biological function such as enzymatic catalysis. Complementary to the conventional structural analysis, computational simulations have the advantage to reflect the dynamic nature of proteins or enzymes. One of the computational simulation methods, the quantum mechanical/molecular mechanical (QM/MM) molecular dynamics (MD) simulations, has been widely applied to the research in structural analysis, ligand-receptor binding and enzymatic catalysis. In this dissertation, QM/MM MD simulations were applied to the studies on cytidine deaminase (CDA), yeast cytosine deaminase (yCD), and kumamolisin-As, as well as two protein lysine methyltransferases (PKMTs), DIM-5 and SET7/9. In the simulations of the transition state analogue (TSA) binding of zebularine 3, 4-hydrate to CDA and of 4-[R]-hydroxyl-3,4-dihydropyrimidine (DHP) to yCD, proton transfers were observed between the TSA and a catalytic Glu residue in both cases. Such general acidbase mechanism was also observed in the stabilization of the tetrahedral intermediate by a critical Asp residue during the acylation of kumamolisin-As. Moreover, dynamic substrate-assisted catalysis (DSAC) involving the His of the substrate at P1 site was proposed. It was suggested that DSAC may contribute to the transition state stabilizations and substrate specificity of kumamolisin-As. The origin of the product specificities of PKMTs was studied by comparison of QM/MM MD simulations on the first, second and third methyl transfers in the trimethylase DIM5 and the monomethylase SET7/9. The product specificities of the enzymes can be well explained by population distributions of well-aligned reactive structures and the relative free energy barriers for the methyl transfers. The structural and energetic reasons for the product specificities were discussed and a triplet code based on the relative free energy barriers for the three methyl transfers was proposed in the determination of product specificities of PKMTs