نتایج جستجو برای: combining layers

تعداد نتایج: 235214  

2015
Peng Gao Zhi Liao Xin-xing Wang Lin-fei Bao Mei-hua Fan Xiao-min Li Chang-wen Wu Shu-wei Xia Senjie Lin

Bivalve shell is a biomineralized tissue with various layers/microstructures and excellent mechanical properties. Shell matrix proteins (SMPs) pervade and envelop the mineral crystals and play essential roles in biomineralization. Despite that Mytilus is an economically important bivalve, only few proteomic studies have been performed for the shell, and current knowledge of the SMP set responsi...

2010
B. Chen J. Huang P. Minnis Y. Hu Y. Yi Z. Liu D. Zhang X. Wang

The version 2 Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) dust layer detection method, which is based only on lidar measurements, misclassified about 43% dust layers (mainly dense dust layers) as cloud layers over the Taklamakan Desert. To address this problem, a new method was developed by combining the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (...

2015
Yanling Zhang Feng Fu Xiaojie Chen Guangming Xie Long Wang

Recently there has been a growing interest in studying multiplex networks where individuals are structured in multiple network layers. Previous agent-based simulations of games on multiplex networks reveal rich dynamics arising from interdependency of interactions along each network layer, yet there is little known about analytical conditions for cooperation to evolve thereof. Here we aim to ta...

Journal: :Nano Research 2022

Abstract Three-dimensional (3D) nanostructured functional materials are important systems allowing new means for intricate control of electromagnetic properties. A key problem is realising a 3D printing methodology on the nanoscale that can yield range materials. In this article, it shown two-photon lithography, when combined with laser ablation sacrificial layers, be used to realise such visio...

2014
Yunlong He Koray Kavukcuoglu Yun Wang Arthur Szlam Yanjun Qi

In this paper, we propose a new unsupervised feature learning framework, namely Deep Sparse Coding (DeepSC), that extends sparse coding to a multi-layer architecture for visual object recognition tasks. The main innovation of the framework is that it connects the sparse-encoders from different layers by a sparse-to-dense module. The sparse-to-dense module is a composition of a local spatial poo...

Journal: :Nanotechnology 2008
J M Ulloa P M Koenraad D Fuster L González Y González M U González

The growth mechanism of stacked InAs/InP(001) quantum wires (QWRs) is studied by combining an atomic-scale cross-sectional scanning tunnelling microscopy analysis with in situ and in real-time stress measurements along the [110] direction (sensitive to stress relaxation during QWR formation). QWRs in stacked layers grow by a non-Stranski-Krastanov (SK) process which involves the production of e...

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