Searched for: collection%253Air
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Lu, T. (author), Wang, Ruizhi (author), Tang, Z. (author), Zou, Yiwei (author), Yue, X. (author), Liang, Yansong (author), Gong, Haoran (author), Liu, Shurui (author), Chen, Zhiyuan (author), Liu, Xun (author), Du, S. (author)
This article presents a 10mV-startup-voltage thermoelectric energy harvesting system, assisted by a piezoelectric generator (PEG) as a cold starter. It exploits the fact that when a thermoelectric energy harvesting system is implemented in a place where kinetic energy is also present, the PEG starter can provide a clock signal to start the...
journal article 2024
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Yang, Chenyang (author), Sun, Jianwen (author), Zhang, Yulong (author), Tang, Jingya (author), Liu, Zizheng (author), Zhan, Teng (author), Wang, Dian-Bing (author), Zhang, Kouchi (author), Liu, Zewen (author), Zhang, Xian-En (author)
The COVID-19 pandemic has highlighted the need for rapid and sensitive detection of SARS-CoV-2. Here, we report an ultrasensitive SARS-CoV-2 immunosensor by integration of an AlGaN/GaN high-electron-mobility transistor (HEMT) and anti-SARS-CoV-2 spike protein antibody. The AlGaN/GaN HEMT immunosensor has demonstrated the capability to detect...
journal article 2024
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Jiang, Qian (author), Ren, Feng (author), Wang, Chenglei (author), Wang, Zhaokun (author), Kefayati, Gholamreza (author), Kenjeres, S. (author), Vafai, Kambiz (author), Liu, Yang (author), Tang, Hui (author)
We developed a dedicated computational framework by coupling the lattice-Boltzmann-method (LBM) modeling and the particle-swarm-optimization (PSO) algorithm to search optimal strategies of magnetic nanoparticle (MNP) injection for hyperthermia-based cancer treatment. Two simplified tumor models were considered: a circular model representing...
journal article 2022
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Tang, Ruifan (author), De Donato, Lorenzo (author), Bešinović, Nikola (author), Flammini, Francesco (author), Goverde, R.M.P. (author), Lin, Zhiyuan (author), Liu, Ronghui (author), Tang, Tianli (author), Vittorini, Valeria (author), Wang, Z. (author)
Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a large number of domains, including railways. In this paper, we present a systematic literature review of the current state-of-the-art of AI in railway transport. In particular, we analysed and discussed papers from a holistic railway perspective,...
review 2022
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Hou, Shuhan (author), Wang, Zhaokun (author), Yang, Huiru (author), Jiang, Jing (author), Gao, Chenshan (author), Liu, Yufei (author), Tang, Xiaosheng (author), Ye, H. (author)
For the relevant properties of pristine and doped (Si, P, Se, Te, As) monolayer WS<sub>2</sub> before and after the adsorption of CO, CO<sub>2</sub>, N<sub>2</sub>, NO, NO<sub>2</sub> and O<sub>2</sub>, density functional theory (DFT) calculations are made. Calculation results reveal that the monolayer WS<sub>2</sub> doped with P and As atoms...
journal article 2022
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Liu, Zhihui (author), Wang, Li (author), Kong, Fanlei (author), Huang, Xia (author), Tang, Zhi (author), He, Shi (author), Vink, P. (author)
BACKGROUND: Many occupations require workers to stand for prolonged periods, which can cause discomfort, pain and even injures. Some supermarkets in life provide a foot pad for checkout staff to let them stand on it at work, thereby reducing standing fatigue caused by standing for a long time. The inclined platform is the same as the foot pad...
journal article 2021
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Han, Rui (author), Liu, Chi Harold (author), Li, Shilin (author), Chen, Lydia Y. (author), Wang, Guoren (author), Tang, Jian (author), Ye, Jieping (author)
The core of many large-scale machine learning (ML) applications, such as neural networks (NN), support vector machine (SVM), and convolutional neural network (CNN), is the training algorithm that iteratively updates model parameters by processing massive datasets. From a plethora of studies aiming at accelerating ML, being data...
journal article 2019
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Liu, Jikai (author), Gaynor, Andrew T. (author), Chen, Shikui (author), Kang, Zhan (author), Suresh, Krishnan (author), Takezawa, Akihiro (author), Li, Lei (author), Kato, Junji (author), Tang, Jinyuan (author), Wang, C.C. (author), Cheng, Lin (author), Liang, Xuan (author), To, Albert. C. (author)
Manufacturing-oriented topology optimization has been extensively studied the past two decades, in particular for the conventional manufacturing methods, for example, machining and injection molding or casting. Both design and manufacturing engineers have benefited from these efforts because of the close-to-optimal and friendly-to-manufacture...
journal article 2018
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Zhang, Xinying (author), Wu, Yan (author), Xiao, Gao (author), Tang, Zhenping (author), Wang, Meiyin (author), Liu, Fuchang (author), Zhu, X. (author)
Azo dyes are very resistant to light-induced fading and biodegradation. Existing advanced oxidative pre-treatment methods based on the generation of non-selective radicals cannot efficiently remove these dyes from wastewater streams, and post-treatment oxidative dye removal is problematic because it may leave many byproducts with unknown...
journal article 2017
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Wang, Jijie (author), Li, G. (author), Li, Zelong (author), Tang, Chizhou (author), Feng, Zhaochi (author), An, Hongyu (author), Liu, Hailong (author), Liu, Taifeng (author), Li, Can (author)
Although methanol synthesis via CO hydrogenation has been industrialized, CO<sub>2</sub> hydrogenation to methanol still confronts great obstacles of low methanol selectivity and poor stability, particularly for supported metal catalysts under industrial conditions. We report a binary metal oxide, ZnO-ZrO<sub>2</sub> solid solution catalyst,...
journal article 2017
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