Dalian University of Technology

About: Dalian University of Technology is a education organization based out in Dalian, China. It is known for research contribution in the topics: Catalysis & Finite element method. The organization has 60890 authors who have published 71921 publications receiving 1188356 citations. The organization is also known as: Dàlián Lǐgōng Dàxué.

Doing Business in the 21st Century with the New Generation of Chinese Managers: A Study of Generational Shifts in Work Values in China

Abstract: Our goal is to develop a profile of Chinese managers, and in particular a profile of the New Generation of Chinese managers. The purpose for developing this profile is primarily to provide relevant information for non-Chinese business people, especially Westerners, who plan to engage in business in China. This profile is based on measures of individual values (Individualism, Collectivism and Confucianism) relevant to China and business. Our findings suggest that the New Generation manager is more individualistic and more likely to act independently, while taking risks in the pursuit of profits. However, these New managers are, likewise, not forsaking their Confucian values. Thus, they may be viewed as crossverging their Eastern and Western influences, while on the road of modernization.

Graphene Sheets Grafted Ag@AgCl Hybrid with Enhanced Plasmonic Photocatalytic Activity under Visible Light

Abstract: Interfacing photocatalyst with graphene sheet gives rise to an extraordinary modification to the properties of the resulting hybrids. Graphene sheet grafted Ag@AgCl composite is fabricated by photoreducing AgCl/graphene oxide (GO) hybrids prepared by deposition-precipitation method. The microscopic analysis and Raman scattering reveal the direct interface between Ag nanocrystal and graphene sheet, which manipulates the electronic structures of Ag@AgCl. UV–vis absorption spectra of Ag@AgCl/reduced GO (RGO) hybrids exhibit strong absorbance in the visible region due to the surface plasmon resonance (SPR) absorption of Ag nanocrystal. In situ assembled Ag@AgCl/RGO plasmonic photocatalyst exhibits remarkable photocatalytic activity. Compared with bare Ag@AgCl nanoparticle, a 4-fold enhancement in the photodegradation rate toward rhodamine B is observed over Ag@AgCl/RGO hybrids under visible light irradiation. The large enhancement of photocatalytic activity was attributed to the effective charge transfer from...

Attentive Feedback Network for Boundary-Aware Salient Object Detection

Abstract: Recent deep learning based salient object detection methods achieve gratifying performance built upon Fully Convolutional Neural Networks (FCNs). However, most of them have suffered from the boundary challenge. The state-of-the-art methods employ feature aggregation tech- nique and can precisely find out wherein the salient object, but they often fail to segment out the entire object with fine boundaries, especially those raised narrow stripes. So there is still a large room for improvement over the FCN based models. In this paper, we design the Attentive Feedback Modules (AFMs) to better explore the structure of objects. A Boundary-Enhanced Loss (BEL) is further employed for learning exquisite boundaries. Our proposed deep model produces satisfying results on the object boundaries and achieves state-of-the-art performance on five widely tested salient object detection benchmarks. The network is in a fully convolutional fashion running at a speed of 26 FPS and does not need any post-processing.

A new topology optimization approach based on Moving Morphable Components (MMC) and the ersatz material model

Abstract: This paper presents a new topology optimization approach based on the so-called Moving Morphable Components (MMC) solution framework. The proposed method improves several weaknesses of the previous approach (e.g., Guo et al. in J Appl Mech 81:081009, 2014a) in the sense that it can not only allow for components with variable thicknesses but also enhance the numerical solution efficiency substantially. This is achieved by constructing the topological description functions of the components appropriately, and utilizing the ersatz material model through projecting the topological description functions of the components. Numerical examples demonstrate the effectiveness of the proposed approach. In order to help readers understand the essential features of this approach, a 188 line Matlab implementation of this approach is also provided.